title: Tuesday, 23rd July 2024

text:
Tuesday, 23rd July 2024
I linked to the brand new Jiff datetime library yesterday. Alex Garcia has already used it for an experimental SQLite extension providing a timezone-aware jiff_duration()
function - a useful new capability since SQLite's built in date functions don't handle timezones at all.
) as result; -- returns 179.966
The implementation is 65 lines of Rust.
Introducing Llama 3.1: Our most capable models to date. We've been waiting for the largest release of the Llama 3 model for a few months, and now we're getting a whole new model family instead.
Meta are calling Llama 3.1 405B "the first frontier-level open source AI model" and it really is benchmarking in that GPT-4+ class, competitive with both GPT-4o and Claude 3.5 Sonnet.
I'm equally excited by the new 8B and 70B 3.1 models - both of which now support a 128,000 token context and benchmark significantly higher than their Llama 3 equivalents. Same-sized models getting more powerful and capable a very reassuring trend. I expect the 8B model (or variants of it) to run comfortably on an array of consumer hardware, and I've run a 70B model on a 64GB M2 in the past.
The 405B model can at least be run on a single server-class node:
To support large-scale production inference for a model at the scale of the 405B, we quantized our models from 16-bit (BF16) to 8-bit (FP8) numerics, effectively lowering the compute requirements needed and allowing the model to run within a single server node.
Meta also made a significant change to the license:
We’ve also updated our license to allow developers to use the outputs from Llama models — including 405B — to improve other models for the first time.
We’re excited about how this will enable new advancements in the field through synthetic data generation and model distillation workflows, capabilities that have never been achieved at this scale in open source.
I'm really pleased to see this. Using models to help improve other models has been a crucial technique in LLM research for over a year now, especially for fine-tuned community models release on Hugging Face. Researchers have mostly been ignoring this restriction, so it's reassuring to see the uncertainty around that finally cleared up.
Lots more details about the new models in the paper The Llama 3 Herd of Models including this somewhat opaque note about the 15 trillion token training data:
Our final data mix contains roughly 50% of tokens corresponding to general knowledge, 25% of mathematical and reasoning tokens, 17% code tokens, and 8% multilingual tokens.
I believe the Llama 3.1 release will be an inflection point in the industry where most developers begin to primarily use open source, and I expect that approach to only grow from here.
As we've noted many times since March, these benchmarks aren't necessarily scientifically sound and don't convey the subjective experience of interacting with AI language models. [...] We've instead found that measuring the subjective experience of using a conversational AI model (through what might be called "vibemarking") on A/B leaderboards like Chatbot Arena is a better way to judge new LLMs.
llm-gguf. I just released a new alpha plugin for LLM which adds support for running models from Meta's new Llama 3.1 family that have been packaged as GGUF files - it should work for other GGUF chat models too.
If you've already installed LLM the following set of commands should get you setup with Llama 3.1 8B:
llm install llm-gguf
llm gguf download-model \
--alias llama-3.1-8b-instruct --alias l31i
This will download a 4.92GB GGUF from lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF on Hugging Face and save it (at least on macOS) to your ~/Library/Application Support/io.datasette.llm/gguf/models
Once installed like that, you can run prompts through the model like so:
llm -m l31i "five great names for a pet lemur"
Or use the llm chat
command to keep the model resident in memory and run an interactive chat session with it:
llm chat -m l31i
I decided to ship a new alpha plugin rather than update my existing llm-llama-cpp plugin because that older plugin has some design decisions baked in from the Llama 2 release which no longer make sense, and having a fresh plugin gave me a fresh slate to adopt the latest features from the excellent underlying llama-cpp-python library by Andrei Betlen.
One interesting observation is the impact of environmental factors on training performance at scale. For Llama 3 405B , we noted a diurnal 1-2% throughput variation based on time-of-day. This fluctuation is the result of higher mid-day temperatures impacting GPU dynamic voltage and frequency scaling.
During training, tens of thousands of GPUs may increase or decrease power consumption at the same time, for example, due to all GPUs waiting for checkpointing or collective communications to finish, or the startup or shutdown of the entire training job. When this happens, it can result in instant fluctuations of power consumption across the data center on the order of tens of megawatts, stretching the limits of the power grid. This is an ongoing challenge for us as we scale training for future, even larger Llama models.


tier: cub

shelf: health

title: Homeopathic remedies for children with influenza acute respiratory tract infections

text:
A study out of Rio de Janeiro, Brazil conducted research to see how homeopathic remedies would be able to help prevent influenza and acute respiratory tract infections in children. This is important because the complications from influenza are common at all ages, and especially in children.
The children that participated in the study were from ages one to five years old with a total of 600 recruited, but 445 completing the study. The researchers followed informed parental consent and randomly distributed the subjects, in a blind manner, to one of three experimental groups: either Homeopathic Complex, Placebo, and InfluBio. The study counted the number of episodes of influenza and acute respiratory tract infections for one year (2009-2010).
The results of the study were that 30.5 percent of the children in the placebo group developed three or more flu and acute respiratory infection episodes, while there was no episode in the group of 149 children who used the homeopathic complex and only one episode in the group of 145 children who received InfluBio.
So when dealing with the flu or acute respiratory tract infections, don’t disregard homeopathic remedies.
Razi Berry, Founder and Publisher of Naturopathic Doctor News & Review (ndnr.com) and NaturalPath (thenatpath.com), has spent the last decade as a natural medicine advocate and marketing whiz. She has galvanized and supported the naturopathic community, bringing a higher quality of healthcare to millions of North Americans through her publications. A self-proclaimed health-food junkie and mother of two; she loves all things nature, is obsessed with organic gardening, growing fruit trees (not easy in Phoenix), laughing until she snorts, and homeschooling. She is a little bit crunchy and yes, that is her real name.


shelf: finance

title: Fixed Deposit Investment

text:
Fixed Deposit Investment
Fixed deposit investment is a popular choice for individuals looking to grow their savings securely over a fixed period. Banks offer fixed deposit accounts where you deposit a lump sum for a predetermined period at a fixed interest rate. This allows you to earn a steady return on your investment without worrying about market fluctuations or risks.
However, not all banks are equal when it comes to fixed deposit investments. It is important to choose the right bank wisely to ensure you receive competitive interest rates and secure investment. Here are some factors to consider when selecting a bank for your fixed deposit investment:
Interest Rates Comparison
One of the most important aspects to consider when choosing a bank for a fixed deposit investment is the interest rate offered. It is crucial to compare interest rates across different banks to find the best possible return on your investment. Banks may offer varying interest rates based on the deposit amount, tenure, and other factors.
Research multiple banks and obtain interest rate information from their websites or by contacting their customer service. Consider the tenure you are comfortable with and compare the rates accordingly. Opt for a bank that offers competitive interest rates compared to others in the market.
Remember that higher interest rates do not always imply a better investment. It is essential to consider the bank's reputation, reliability, and customer service in addition to the interest rate.
Reputation and Stability
When entrusting your hard-earned money with a bank, it is important to ensure that the institution is reputable and stable. Research the bank's background, financial health, and stability in the market before making a decision. Look for banks with a long-standing history of stability and positive customer reviews.
Check if the bank is recognized by relevant financial regulatory bodies and if it adheres to the necessary regulations. This will help ensure the safety of your investment and provide you with peace of mind.
Terms and Conditions
It is crucial to carefully read and understand the terms and conditions provided by the bank before investing in a fixed deposit. Pay attention to factors such as premature withdrawal penalties, renewal options, reinvestment rates, and any other applicable fees or charges.
Ensure that the terms align with your investment goals and requirements. If you anticipate the need for liquidity during the tenure of the fixed deposit, consider banks that offer flexibility in terms of premature withdrawals or partial withdrawals.
Good customer service is an essential factor to consider when choosing a bank for your fixed deposit investment. Efficient customer service can help resolve any queries or concerns you may have regarding your investment. Research customer reviews or speaks to existing customers to gauge the bank's customer service quality.
Consider factors such as response time, accessibility, and overall customer satisfaction. A bank with responsive and helpful customer service can greatly enhance your overall banking experience.
Additional Services and Benefits
While the primary objective of a fixed deposit investment is to earn a competitive return, consider other services and benefits offered by the bank. Some banks may provide additional perks such as preferential interest rates for senior citizens, nomination facilities, loans against fixed deposits, or online banking conveniences.
Evaluating these additional services can enhance the overall value of your fixed deposit investment. Compare the offerings of various banks and choose the one that aligns with your preferences and requirements.
By considering these factors, you can make an informed decision when choosing the right bank for your fixed deposit investment. Remember to assess the interest rates, reputation, terms and conditions, customer service, and additional benefits offered by each bank. A well-researched decision will contribute to a secure and rewarding fixed deposit investment.


shelf: education

text:
Proton induced radiation damage studies on plastic scintillators for the tile calorimeter of the atlas detector
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Plastic scintillators play a key role in reconstructing the energy and tracks of hadronic particles that impinge the Tile Calorimeter of the ATLAS detector as a result of high energy particle collisions generated by the Large Hadron Collider of CERN. In the detector, plastic scintillators are exposed to harsh radiation environments and are therefore susceptible to radiation damage.
The radiation damage effects to the optical properties and structural damage were studied for PVT based commercial scintillators EJ200, EJ208, EJ260 and BC408, as well as PS based UPS923A and scintillators manufactured for the Tile Calorimeter. Samples of dimensions 5x5x0.3 mm were subjected to irradiation using 6 MeV protons to doses of approximately 0.8 MGy, 8 MGy, 25 MGy and 25 MGy using the 6 MV tandem accelerator of iThemba LABS.
Results show that damage leads to a reduced light output and loss in transmission character. Structural damage to the polymer base and the formation of free radicals occur for doses ≥ 8 MGy leading to reduced scintillation in the base and re-absorption of scintillation light respectively. Scintillators containing a larger Stokes shift, i.e. EJ260 and EJ208 exhibit the most radiation hardness. EJ208 is recommended as a candidate to be considered for the replacement of Gap scintillators in the TileCal for the 2018 upgrade.
A Dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science.
Jivan, Harshna (2016) Proton induced radiation damage studies on plastic scintillators for the tile calorimeter of the atlas detector, University of the Witwatersrand, Johannesburg, <http://hdl.handle.net/10539/21672>


shelf: home-craft

title: Venice plant tray

text:
Venice by neudoerfler plant tray – everything in green.
Do you want to work in a green space, even without a park or garden nearby? No problem thanks to the Venice plant trays – simply let the calming properties of the plants take wash over you and after a few minutes your energy reserves are full again for the next tasks in what can often be a stressful everyday working life. Whether the plants are lush green or broken up with colourful blossoms – there are no limits to creativity when designing the planters. In any case, they're a real eye-catcher.
Just take a breath.
Green plants in the office not only offer relaxation for the eyes away from computer screens, but also contribute to better air quality. This makes it easy to integrate short moments of relaxation among the greenery into everyday working life during breaks or between meetings – helping you be more concentrated and have clear thoughts.
Bringing a touch of flair to the working day.
Depending on preference, the furniture in discreet colours fits subtly into the surroundings and allows the plants to speak for themselves. Or arrange these colourful highlights in an eye-catching design that support the radiance of the greenery even more.
For everyone with (or without) green fingers.
Plants have been shown to contribute to better air quality. That's why they play an essential role in office furnishing. The Venice by neudoerfler planters have a plastic insert that can be planted in just a few steps – filled with frugal green plants, even a child could keep them alive and well cared for. The combination of several planters creates a green oasis in the office, meeting room or open space area – for even more of a feel-good atmosphere which translates into relaxed and productive work.
Colors & materials
Widths in cm | 80 / 160 / 240 |
Depths in cm | 43 / 45 |
Heights in cm (incl. frame & legs) | 56,6 (1 FH) / 94,1 (2 FH) |


shelf: history-culture

title: Jada kingdom comes out as lesbian

text:
Not long after Reggae singer Lila Ike made her shocking announcement of her being into women, Jada Kingdom followed her footsteps and took to social media to discuss what many people are saying they already knew. Lila’s revelation came after someone had threatened to blackmail her by releasing a photo with her and another female to the public.
The announcement was met with harsh criticisms from persons who felt betrayed by the sensational singer nevertheless, the actions of the reggae artiste seemed to have given an edge of confidence to her music industry peer Jada Kingdom who also made a similar announcement to her fans.
The “Banana” vocalist, in a series of tweets, told her followers that she was nervous about coming out; yet, she did so months ago to her mother who surprised her with the comforting reaction she gave, also telling Jada she knew all along.
The female Dancehall artiste said she knew her sexual preferences since high school and was even approached by another female at the time, who had feelings for her whom she turned down but the entire school figured out anyways. She also said another girl in high school did not get along well with her because the singer said she had no interest.
Jada Kingdom also expressed her shock about finding out that many of her fans did not pick up, as she hinted in her lyrics. About the entire dilemma though, the “Feelings” artiste, says she does not give a “fuck” about it and even expressed to her Twitter followers that she has never felt so free in her life.
In Jamaica, the rejection of such a lifestyle is well known to be berated, and many Dancehall artistes have felt the heavy hand of the LGBTQ community due to some lyrics deemed as hateful. Already persons such as Footah Hype have spoken their mind on the matter distastefully, along with many angry social media users but regardless, Lila Ike along with Jada Kingdom has been getting equal support from their fellow entertainers.
What will be the aftermath of this bump in the music industry? Will fans continue to endorse the singers regardless of their sexual preferences? Or will they be treated as outcasts due to the moral standard of the mass?. One thing is for sure though, it will certainly show where the mentalities of Jamaicans are at this juncture of history.
Check out one of her tweets below.
I remember just couple months ago, i finally for the first time gained the courage to tell my mother that i’m a lesbian & she told me she been knew that all these years!!! 😭😭😭
— 👩🏼🎤🧚🏽♀ TWINKLE 🧚🏽♀👩🏼🎤 (@Jadakingdom) November 15, 2021


shelf: civic-law

title: Baffoe bonnie leads injunction suit against torkornoos removal at supreme court

text:
The Acting Chief Justice, Paul Baffoe-Bonnie, is leading a newly constituted panel to preside over the hearing of an injunction suit filed against the removal of suspended Chief Justice, Gertrude Araba Sackey Torkornoo.
The new panel consists of:
Justice Paul Baffoe-Bonnie;
Justice Henrietta Mensah Bonsu;
Justice Yonny Kulendi;
Justice Amadu Tanko; and
Justice Ernest Gaewu.
The decision to reconstitute the panel overseeing the injunction suit against the removal of suspended Chief Justice Gertrude Araba Sackey Torkornoo faced strong opposition from former Attorney General, Godfred Dame, who is also the legal representative for Vincent Ekow Asafuah, the petitioner seeking to halt the removal process.
Dame objected to the panel’s reconstitution, according to GhanaWeb’s legal affairs correspondent, George Ayisi, arguing that Acting Chief Justice Paul Baffoe-Bonnie — now presiding over the case — is directly affected by the outcome and therefore should not lead the proceedings.
However, Deputy Attorney General, Justice Srem Sai, argued that there is a misconception of personal benefit to the Acting CJ, but that is not so.
However, after a brief deliberation, the court unanimously overruled Dame’s objection, affirming that the new panel, chaired by Justice Baffoe-Bonnie, will proceed with the hearing.
The panel was reconstituted due to changes in the composition of the bench, with some justices now serving on the Chief Justice Removal Committee and others being replaced.
The original panel, which was presided over by Prof Henrietta Mensah Bonsu, included Samuel Asiedu (now on the removal committee), Ernest Gaewu (who retains his place on the new panel), Yaw Asare Darko, and Richard Adjei Frimpong — both of whom have been replaced.


tier: kodiak

shelf: science-engineering

title: 785

text:
The operational problems in sewer network systems, either due to overflowing or blockage at pipeline ends, disturb the boundary conditions and result in the transition of the gravity flow to a partially pressurized flow, and then the high pressurized air pocket could be released to the atmosphere either at upstream or downstream boundaries. For numerical simulation, among various models, the rigid column (RC) model is less complicated, while incorporates the fundamental features of this type of transient flows. The RC model has been studied in extensive research exemplified by the following studies [
10]: Cabrera et al. [
2], Liou and Hunt [
3], Li and McCorquodale [
4], Zhou et al. [
6], Lee [
7], Fuertes-Miquel et al. [
8], Coronado-Hernández et al. [
Li and McCorquodale [
4] used the RC model proposed in [
1] to calculate the transient pressure which causes blowing off of storm manholes. In the proposed RC model, the water column is assumed as an incompressible fluid with uniform but unsteady velocity. The transition from free-surface flow to pressurized flow was described in six stages, and the trapped air pocket was assumed to undergo pseudo adiabatic expansion and compression. It was found that the numerical transient pressure overpredicts the experimental data by a factor of two, and the attenuation of the pressure oscillation is underestimated, while the frequency of pressure surge oscillations predicts the measured data accurately. Li and McCorquodale [
4] linked this poor behavior to the superposition of various air release processes and the steady-state friction factor used in the mathematical model.
Liou and Hunt [
3] proposed an RC model to simulate the transient flow in an empty pipeline with an undulating elevation profile. They found that the calculated velocity distribution is comparable with the experimental data.
7] analytically and experimentally studied the behavior of air pressurization in horizontal pipelines and derived a closed form of the solutions calculated by the RC model, in which a vertical air-water interface is assumed. It was found that the maximum pressure increases when the reservoir pressure increases, and the RC model overpredicts the experimental data. In addition, Lee showed that the damping behavior of the air pressure is contributed to the heat transfer between the air, water, and the pipe wall. Additionally, he showed that the maximum pressure calculated by both variable and constant water length assumptions is similar, while he indicated that these two assumptions lead to calculating different times at which the maximum pressure occurs. Lee demonstrated that the maximum pressure in a frictionless pipe is independent of initial air and water lengths. Moreover, Lee, by using the small wave theory, linearized the governing equations and provided a formula for the frequency of the air pressure oscillation. This formula showed that the frequency depends on the reservoir pressure and the initial length of the air and water phases.
Hou et al. [
11] experimentally and numerically studied the rapid filling of a large-scale pipeline. For the numerical calculation, they applied the RC model proposed in [
3] along with the modification proposed by Axworthy and Karney [
12]. Note that the modification is to eliminate the pressure head at junctions from the momentum equation. They showed that the numerical result of the RC model is in good agreement with the experimental data.
Fuertes-Miquel et al. [
8], using the RC model, analyzed the effects of isothermal and adiabatic behaviors of the air pocket, which is expelled from a pipe through an air valve by admitting water flow. It was found that numerical results can be significantly different depending on the heat transfer mechanism. In particular, in contrary to the isothermal assumption, the adiabatic assumption results in smaller air pressure and larger water velocity so that the induced water hammer is greater.
Coronado-Hernández et al. [
9] studied the sub-atmospheric pressure occurring during an emptying process in a pipeline with irregular elevation. They proposed an RC model to simulate the water flow, while the air pocket was simulated using the thermodynamic formulation. By comparing to experimental data, they showed that the RC model can predict the flow variables (water velocity and air pressure) accurately.
The air entrapment following rapidly filling storm water systems (SWSs) has great complexity and challenges. This complexity, for example, includes the transition from gravity to pressurized flow and their interaction and significant head loss at the interface, the turbulent nature of the flow, lumped nature of the air pocket [
5], and the heat transfer between water, air, and the pipe wall [
7]. It is known that the available mathematical models, which practitioners are interested in, including the RC model, do not take the effects of all of these parameters into account so that these models overestimate the numerical solutions including the maximum pressure. This overestimation implies that these mathematical models, due to their assumptions, are not able to sufficiently predict the dissipation of the driving energy. Thus, to dissipate this energy, or in other words, to compensate for the effects of the aforementioned neglected terms, considering a numerical dissipation term seems to be useful. Note that in the literature, the classical fourth order Runge–Kutta explicit scheme has mostly been employed for the time integration of the governing equations. Recently, the backward Euler implicit scheme has been used in [
13] to simulate the dynamics of the entrapped air pocket using the 3D Navier–Stokes equation and the volume of fluid (VOF) method. In addition, Rokhzadi and Fuamba [
14] proposed using the backward Euler implicit scheme to solve a similar problem by a shock-fitting approach.
In this paper, the damping and frequency of the pressure distribution of an entrapped air caused by a rapid filling of a horizontal reservoir-pipe system will be studied using some available experimental data as well as the numerical results of the RC model. In this regard, the effects of reservoir pressure and the air and water initial lengths will be discussed. To analytically show the relation between these parameters and the damping and frequency, the governing equations are linearized around a point, in which the air pressure is equal to the reservoir pressure. This linearization implies that the air pressure does not significantly deviate from the reservoir pressure. Although this assumption is not valid for every case, it can provide insightful information about the damping and frequency. In addition, using the backward Euler implicit scheme will be introduced to discuss the numerical dissipation as a representative for the physical dissipation, which the RC model cannot predict properly for many reasons. In this regard, the modified equation will be derived to provide a formula, by which the size of the time step and the amount of numerical dissipation can be controlled so that excessive numerical dissipation imposed on the solutions is avoided. It will be shown that this formula adjusts the time step in proportion to the values of the effective physical parameters on the damping behavior.
It is worth mentioning that for problems with large initial air pocket sizes, the elasticity of entrapped air pocket is much higher than the elasticity of the water [
15]. Thus, it can be expected that for these cases, which are more problematic in SWSs, the RC model can calculate the solutions appropriately. However, as indicated in the literature, e.g., [
16], the RC model cannot capture the interactions between different waves exist in pipelines.
To further discuss the effects of time integration schemes on the air pressure distribution and to clarify the effects of the reservoir pressure and the product of the air and water initial lengths as well as to compare the performances of the BE and 4th-RK schemes, some test cases, for which the experimental data exist, and a hypothetical example have been solved by the RC model, for which the governing equations are Equations (1), (2) and (15).
3.1. Hypothetical Test Case
A horizontal frictionless pipe-reservoir system with
and different air and water lengths and the reservoir pressure ratio
has been solved and the results are shown in
Figure 2 and
Figure 3. Note that for both BE and 4th-RK schemes, the time step is set to
As can be seen in
Figure 2, as the product of the air and water lengths decreases, either by decreasing the air length or the water length, the rate of damping and the frequency increase. In addition, as indicated in [
7] as well,
Figure 2 shows that the first maximum pressure, for a frictionless pipe, is independent of the air and water initial lengths. Note that in
Figure 2, it was attempted to examine large lengths of the air and columns as well (second row).
Figure 3 shows the results of the same test case, in which the 4th-RK scheme is used instead of the BE scheme. As can be seen, by using the 4th-RK scheme, the RC model is unable to simulate the relationship between the damping and the product of the air and water initial lengths. However, the frequency and its relation with
are properly predicted.
Similarly, to illustrate the effect of the reservoir pressure on the damping and the frequency and to compare the effect of time integration schemes,
Figure 4 shows the non-dimensional air pressure distribution
in terms of time for a specific example with pipe diameter
, and the air and water initial lengths
. The left graph illustrates the results calculated by the BE scheme, and the right graph is calculated by the 4th-RK scheme. As can be seen, the frequency increases with increasing the reservoir pressure, the feature that appropriately is predicted by both time integration schemes. However, from the right graph, it can be seen that the 4th-RK scheme is unable to appropriately calculate the damping and its direct relation with the reservoir pressure, while the BE scheme in the left graph effectively calculates the damping behavior. In addition, as shown in [
7], the first maximum pressure, for initially stationary water flows, is only a function of the reservoir pressure and it increases with increasing the reservoir pressure, a fact that is calculated by both time integration schemes.
Therefore, it can be claimed that implicit time integration schemes, represented by the BE scheme, is more appropriate time integration scheme for using with the RC model.
3.2. Experiment of Zhou
Note that, hereafter, in every test case, the time step is calculated using Equation (28). One of the test cases is of Zhou [
20], which is a reservoir-pipe system, in which
, in which
. In addition, the pipe is horizontal with a friction factor
and a local head loss coefficient
Figure 5 shows the air pressure distribution calculated by the 4th-RK and BE schemes and the corresponding experimental data for both
First, it is shown that the physical solution approves the inverse relation between the damping and the product of the air and water initial lengths. The experimental data in
Figure 5a shows that the first peak with the value of
, and the second peak value of
. Thus, the rate of damping in this test case is around
. The same calculation in
Figure 5b shows that the rate of damping is
. These values show that when
is smaller, as in
Figure 5b, the rate of damping increases. Therefore, it can be claimed that the RC model and the relation derived for the amplitude of the oscillations in Equation (10) provide appropriate information about the physical behavior of the air pressurization.
In addition, the numerical solutions in
Figure 5 show that the BE scheme outperforms the 4th-RK scheme. It is worth mentioning that the phase shift between numerical and experimental data was reported in other references, e.g., [
6]. As Zhou et al. [
5] explained, this phase shift could be due to the assumption that the air pocket remains intact, while the air roll ups and splits into several pockets with smaller sizes. However, for the test case with a smaller initial air length (
Figure 5b), in the last period, the BE scheme causes a more obvious phase shift, compared to the 4th-RK scheme.
Here, it is shown that the numerical dissipation is imposed in proportion to physical conditions so that the performance of the RC model is improved. As demonstrated in [
7], the dimensional analysis shows that the governing equations of the RC model have a similarity form with a scale factor
, which appears as a coefficient of the friction loss term. The details of the non-dimensional variables can be found in Equations (3)–(85) in reference [
7]. Thus, since the only differences between the test cases of Zhou [
13], as in
Figure 5, are the initial air and water lengths, if the coefficient
set equal for both cases, then the relation between the numerical dissipation imposed on the solutions and the product of the air and water initial lengths can be analyzed quantitatively. Therefore, the friction factor in the test case with
is changed to
, and the result of this test case along with
Figure 5b, are shown in
The first peak calculated by the 4th-RK and BE schemes, for the test with
, shown in
Figure 6a, are approximately
, with a difference of around
. The same calculation for the case with
Figure 6b, shows that the first peak calculated by the 4th-RK and BE schemes are approximately
, with a difference around
. These values show that the numerical dissipation imposed on the solutions of the test case with
, in which
is larger, is larger than the test case with
, in which
is smaller. Referring to Equation (15), it can be claimed that the BE scheme can improve the performance of the RC model because, according to Equation (15), when
is large the damping of the RC model is small and the overestimation is large and, as seen in
Figure 6a, the BE scheme imposes more dissipation to improve the overestimation.
3.3. Experiment of Zhou and Liu
Another experiment presented in this paper was carried out in [
21], in which the air pressurization in a horizontal reservoir-pipe system was experimentally analyzed for different tailwater depths including the initially dry-bed condition. The experiment setup is similar to the schematic provided in
Figure 1, with
. The friction factor was calculated as
, and, in the present paper, an additional factor representing the local head loss is considered as
. The air pressure distribution of this test case, calculated by both BE and 4th-RK schemes, are shown in
Figure 7a. Note that for this test case,
was used since it provides more accurate results than
The experimental data in
Figure 7a shows that the first peak with the value of
, and the second peak value of
. Thus, the rate of damping in this test case is around
. Note that the product of air and water initial lengths in the test case is almost the same as the test case of Zhou [
20], in which
and the rate of damping was calculated as
. Comparing the rate of damping in these two test cases shows that when the reservoir pressure is large, as in the test case of Zhou [
20], the rate of damping is large as well. Therefore, the physical solution proves a direct relation between the damping and the reservoir pressure. In addition, it can be claimed that the RC model and the relation derived for the amplitude of the oscillations in Equation (10) provide appropriate information about the physical behavior of the air pressurization.
Moreover, it can be seen that the BE scheme improves the overestimated peak values compared to the 4th-RK scheme and no obvious phase shift is seen.
In order to further analyze the relation between numerical dissipation and the reservoir pressure, in
Figure 7b, the reservoir pressure is increased to
. The difference between the first peak value calculated by BE and 4th-RK schemes in
Figure 7a, in which the reservoir relative pressure is
, is around seven. In
Figure 7b, in which the reservoir relative pressure is around
, the difference between numerical peak values is around
. As the only difference between
Figure 7a,b, is the reservoir pressure, it can be claimed that for cases with larger reservoir pressure, in which the overestimation of the RC model is larger, the BE scheme imposes more dissipation to improve the overestimation.
Therefore, considering the results of both test cases, it can be expected that implicit time integration schemes, represented by the BE scheme, are more helpful in using with the RC model. In addition, by using the derived formula for the time step, it can be ensured that excessive numerical dissipation is avoided.
3.4. Test Case of Lee
In this section, to show that the BE scheme by using the time step derived in Equation (28) can compensate for the effect of heat transfer, one of the test cases solved in [
7] by 4th-RK scheme, in which the effect of heat transfer is included is compared to the result calculated by BE without the heat transfer. The test case is a frictionless horizontal reservoir-pipe system with
m, the initial water length
m and the initial air length
m. The ratio of the reservoir absolute pressure to the atmospheric pressure is
. Note that following Lee [
7], the variable water column length is considered in the RC model. As can be seen in
Figure 8, the result calculated by BE scheme is almost the same as the result calculated in [
7]. Thus, it can be claimed that the numerical dissipation of the BE scheme, by using the time step in Equation (28), can compensate for the effect of heat transfer.
This study analyzes the rigid column model to further explain that this model is able to produce the fundamental features of the physics of the problem, in particular, the damping behavior of the surge pressure distribution. However, this model underestimates the damping behavior and overestimates the peak values. The reasons are linked to simplified approximations associated with the rigid column model and the complexity of the transient flow, which cause this model to underestimate the prediction of the physical energy dissipation. To address this poor behavior of the rigid column model, using implicit schemes has been proposed, by which the numerical dissipation can represent the physical dissipation. In this regard, a criterion has been provided to control the amount of numerical dissipation to ensure that the solutions are not spoiled and, in the meantime, the performance of the rigid column model is improved.
The contribution of the friction loss term to the damping behavior of the surge pressure is known and discussed in the literature. Therefore, to provide an analytic formula by which the relation between the frequency and damping and physical parameters can be shown, the governing equations, applied to a frictionless horizontal reservoir-pipe system, were linearized around the point where the air pressure is equal to the reservoir pressure. This linearization implies that the air pressure does not deviate significantly from the reservoir pressure. Although this assumption is not valid for every example, it was shown that it can provide insightful information about the air pocket behavior. It should be noted that the linearized governing equations were just used to analyze the influential factors on the damping and frequency, while for solving the test cases, the nonlinear governing equations were used.
It was found that the damping and frequency of the air pressure, calculated by the RC model, has a direct relation with the reservoir pressure and inverse relation with the product of the air and water initial lengths. The same relationship was found in some available experimental data, meaning that it confirms that the RC model is able to predict the physical behavior of the air pressure distribution. In addition, it was shown that, despite the abilities of the RC model, the performance of this model depends on the type of the temporal scheme used for time integration, which is because of many simplified approximations associated with the RC model, including neglecting the heat transfer and lumped assumption of the air pocket. In this regard, it was shown that implicit schemes, represented by the backward Euler scheme, are more effective than explicit schemes, represented by the classical fourth order Runge–Kutta scheme. The reason is that the numerical dissipation associated with implicit schemes can compensate for the physical dissipation associated with the neglected factors in the RC model. Moreover, to avoid imposing excessive numerical dissipation on the solutions, a formula for calculating the time step size was derived, which is a function of the effective parameters on the physical damping and frequency. It was shown that, by using this time step, the backward Euler scheme can help the RC model to more effectively predict the air pressure distribution.


shelf: software-docs

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How your enterprise should be using vector databases for its LLM applications in 2024
In recent years, large language models (LLMs) have revolutionized the landscape of enterprise AI applications. These powerful machine learning models have demonstrated remarkable abilities in natural language processing, generation, and understanding, opening up a world of possibilities for businesses across industries. However, as LLMs become more sophisticated and demanding, enterprises face the challenge of efficiently storing and retrieving the vast amounts of data required to train and operate these models. Enter vector databases – the key to unlocking the full potential of LLMs in enterprise AI applications.
- Understanding Vector Databases
- LLMs and Vector Databases: A Perfect Match for Enterprise AI
- Identifying use cases for vector databases in your LLM applications
- The Future of Vector Databases in Enterprise AI
Understanding Vector Databases
Vector databases are specialized databases designed to store and manage high-dimensional vector data. Unlike traditional databases that store data as rows and columns, vector databases represent data as numerical vectors in a vector space. Each data point, such as a text document or an image, is converted into a vector embedding – a dense, fixed-length numerical representation that captures the semantic meaning of the data.
How vector databases work
At the core of vector databases lies the concept of vector embeddings and vector space. Vector embeddings are generated using machine learning models, such as word2vec or BERT, which learn to map data points to a high-dimensional vector space. In this vector space, similar data points are represented by vectors that are close to each other, while dissimilar data points are farther apart.
Vector databases enable efficient similarity search and nearest neighbor search operations. When a query vector is provided, the database can quickly find the most similar vectors in the vector space using distance metrics like cosine similarity or Euclidean distance. This allows for fast and accurate retrieval of relevant data based on semantic similarity rather than exact keyword matches.
Advantages of using vector databases for LLM applications
Vector databases offer several key advantages over traditional databases when it comes to supporting LLM applications:
Semantic search: Vector databases enable semantic search, allowing LLMs to retrieve information based on the meaning and context of the query rather than relying on exact keyword matches. This leads to more relevant and accurate results.
Scalability: Vector databases are designed to handle large-scale vector data efficiently. They can store and process millions or even billions of high-dimensional vectors, making them ideal for the massive datasets required to train and operate LLMs.
Faster query times: The specialized indexing and search algorithms used by vector databases enable lightning-fast query times, even on large datasets. This is crucial for real-time LLM applications that require quick access to relevant information.
Improved accuracy: By leveraging the semantic information captured in vector embeddings, vector databases can help LLMs provide more accurate and contextually relevant responses to user queries.
As enterprises look to harness the power of LLMs in their AI applications, vector databases emerge as an essential tool for efficient data storage and retrieval.
LLMs and Vector Databases: A Perfect Match for Enterprise AI
The success of LLMs heavily relies on the quality and accessibility of the data on which they are trained. This is where vector databases come into play, providing a powerful solution for storing and retrieving the vast amounts of data required by LLMs.
The role of data in training and fine-tuning LLMs
LLMs are trained on massive datasets containing billions of words, allowing them to learn the intricacies of language and develop a deep understanding of context and meaning. Once pre-trained, LLMs can be fine-tuned on domain-specific data to adapt to particular use cases and industries. The quality and relevance of this data directly impact the performance and accuracy of LLMs in enterprise AI applications.
Challenges of using traditional databases for LLM data storage and retrieval
Traditional databases, such as relational databases, are not well-suited for handling the unstructured and high-dimensional data required by LLMs. These databases struggle with the following challenges:
Scalability: Traditional databases often face performance issues when dealing with large-scale datasets, making it difficult to store and retrieve the massive amounts of data needed for LLM training and operation.
Inefficient search: Keyword-based search in traditional databases fails to capture the semantic meaning and context of the data, leading to irrelevant or incomplete results when queried by LLMs.
Lack of flexibility: The rigid schema of traditional databases makes it challenging to accommodate the diverse and evolving data types and structures associated with LLMs.
How vector databases overcome these challenges
Vector databases are specifically designed to address the limitations of traditional databases when it comes to supporting LLMs:
Efficient similarity search for context-aware data retrieval: By representing data as vectors in a high-dimensional space, vector databases enable fast and accurate similarity search. LLMs can retrieve relevant information based on the semantic meaning of the query, ensuring more contextually appropriate responses.
Scalability for handling large datasets: Vector databases are built to handle massive amounts of vector data efficiently. They can scale horizontally across multiple machines, allowing for the storage and processing of billions of vector embeddings required by LLMs.
Real-world examples of LLMs leveraging vector databases
Several notable enterprise AI applications have successfully integrated LLMs with vector databases for improved performance and efficiency:
OpenAI’s GPT-4 and Anthropic’s databases: OpenAI and Anthropic use vector databases to store and retrieve the vast knowledge bases that power their state-of-the-art LLMs, enabling more contextually relevant and accurate language generation.
Enterprise search and knowledge management: Companies like Microsoft and Google use vector databases to enhance their enterprise search and knowledge management systems, allowing employees to find relevant information quickly and easily using natural language queries.
Customer support and chatbots: Businesses employ vector databases to store and retrieve customer data, product information, and conversation histories, enabling LLM-powered chatbots to provide more personalized and efficient customer support.
Identifying use cases for vector databases in your LLM applications
Before implementing a vector database, it’s crucial to identify the specific use cases where it can provide the most value for your enterprise AI applications. Semantic search and information retrieval is one area where vector databases excel, allowing users to find relevant information using natural language queries. By representing documents, images, and other data as vectors, LLMs can retrieve the most semantically similar results, improving the accuracy and relevance of search outputs.
Another key use case is retrieval augmented generation, where LLMs can generate more accurate and contextually relevant responses by integrating with vector databases. During the generation process, the LLM can retrieve relevant information from the vector database based on the input query, enhancing the coherence and factual correctness of the generated text.
Personalization and recommendation systems can also greatly benefit from vector databases. By representing user preferences, behaviors, and item features as vectors, LLMs can generate highly targeted recommendations, content suggestions, and user-specific outputs. This is achieved by computing the similarity between user and item vectors.
Lat but not least, vector databases can be used for knowledge management and content organization. Enterprises can leverage vector databases to organize and manage large volumes of unstructured data, such as documents, reports, and multimedia content. By clustering similar vectors together, businesses can automatically categorize and tag content, making it easier to discover and navigate.
Choosing the right vector database for your needs
Selecting the appropriate vector database is crucial for the success of your enterprise AI applications. When evaluating different vector database solutions, consider the trade-offs between open-source and proprietary options. Open-source vector databases offer flexibility, customization, and cost-effectiveness. They have active communities, regular updates, and extensive documentation. On the other hand, proprietary solutions, often provided by cloud platforms or specialized vendors, offer managed services, enterprise-grade support, and seamless integration with other tools in their ecosystem. However, they may come with higher costs and vendor lock-in risks.
Scalability and performance are critical factors to assess when choosing a vector database. Evaluate the database’s ability to handle the scale of your data, both in terms of storage capacity and query performance. Look for solutions that can efficiently process millions or billions of high-dimensional vectors. Consider the database’s indexing and search algorithms, such as approximate nearest neighbor (ANN) search, which can significantly speed up similarity search on large datasets. Additionally, assess the database’s horizontal and vertical scalability options to ensure it can grow with your data and user base.
Ease of integration is another important consideration. Investigate how well the vector database integrates with your existing technology stack, including LLM frameworks, data pipelines, and downstream applications. Look for databases that offer APIs, SDKs, and connectors for popular programming languages and frameworks, making it easier for your development team to integrate and maintain.
Finally, prioritize vector databases with active communities, comprehensive documentation, and responsive support channels. A strong community ensures access to timely help, bug fixes, and feature updates. Evaluate the database’s ecosystem of tools, plugins, and integrations, as a rich ecosystem can accelerate development, provide additional functionality, and facilitate integration with other enterprise systems.
Best practices for integrating vector databases with your LLM applications
To ensure a smooth and effective implementation of vector databases in your enterprise AI applications, several best practices should be followed. First, develop a robust data preprocessing pipeline to clean, normalize, and transform your raw data into a format suitable for vector embedding generation. Experiment with different embedding models and techniques to find the most appropriate approach for your specific use case and data types. Fine-tune pre-trained embedding models on your domain-specific data to capture the unique semantics and relationships within your enterprise’s context. Implement data quality checks and validation steps to ensure the consistency and reliability of your vector embeddings.
Query optimization and performance tuning are essential for efficient vector database usage. Fine-tune your vector database’s indexing and search parameters, such as the number of nearest neighbors, search radius, or clustering algorithms, to strike a balance between query speed and accuracy. Employ techniques like dimensionality reduction to reduce the size of your vectors while preserving their semantic information, improving storage efficiency and query performance. Utilize quantization methods, such as product quantization or vector compression, to further optimize the storage and retrieval of vectors. Implement caching mechanisms to store frequently accessed vectors or search results in memory, reducing the latency of repeated queries.
Monitoring and maintenance are crucial for ensuring the smooth operation of your vector database. Establish a comprehensive monitoring system to track the performance, availability, and health of your vector database. Monitor key metrics such as query latency, throughput, and error rates. Set up alerts and notifications to proactively identify and address any performance bottlenecks, resource constraints, or anomalies. Perform regular maintenance tasks, including re-indexing, data updates, and backups, to ensure the integrity and freshness of your vector data. Continuously evaluate and optimize your vector database’s performance based on real-world usage patterns and user feedback. Iterate on your indexing strategies, search algorithms, and hardware configurations as needed.
Security and access control are paramount when dealing with sensitive enterprise data. Implement robust security measures to protect the confidentiality, integrity, and availability of your vector data. Apply encryption, authentication, and access control mechanisms to safeguard sensitive information. Define granular access policies and permissions to ensure that only authorized users and applications can access and manipulate the vector database. Regularly audit and review access logs to detect and prevent unauthorized access attempts or suspicious activities.
Lastly, fostering a culture of collaboration and knowledge sharing among your AI teams is essential for successful vector database implementation. Encourage the exchange of best practices, lessons learned, and innovative ideas related to vector databases and LLM applications. Establish internal forums, workshops, or hackathons to promote experimentation, skill development, and cross-functional collaboration around vector database technologies. Participate in external communities, conferences, and industry events to stay informed about the latest advancements, use cases, and best practices in vector databases and enterprise AI.
By following these best practices and considering the unique requirements of your enterprise, you can successfully implement vector databases and unlock the full potential of your LLM applications. Remember to start small, iterate frequently, and continuously measure and optimize your vector database’s performance to ensure it delivers maximum value to your business.
The Future of Vector Databases in Enterprise AI
As vector database technology continues to advance, we can expect to see a plethora of new and innovative applications in enterprise AI:
Personalized content creation: LLMs powered by vector databases can generate highly personalized content, such as articles, reports, and marketing materials, tailored to individual users’ preferences and context.
Intelligent document processing: Vector databases can enable the automatic classification, indexing, and extraction of key information from large volumes of unstructured documents, streamlining workflows and improving decision-making processes.
Multilingual AI assistants: By incorporating vector embeddings from multiple languages, enterprises can develop AI assistants that can understand and respond to users in their native language, breaking down language barriers and improving global collaboration.
Predictive maintenance and anomaly detection: Vector databases can help identify patterns and anomalies in sensor data and equipment logs, enabling proactive maintenance and reducing downtime in industrial settings.
As the enterprise AI landscape continues to evolve at a rapid pace, it is crucial for businesses to stay informed about the latest advancements in vector database technology and LLMs. By keeping abreast of new techniques, tools, and best practices, enterprises can ensure that their AI applications remain competitive and deliver maximum value to their users.
By embracing the future of vector databases and LLMs, enterprises can unlock new levels of efficiency, accuracy, and insight in their AI applications, ultimately driving business growth and success in the years to come.


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The Impact of Mental Health on Sexuality
Mental health is a crucial aspect of overall well-being, and it can significantly impact various areas of our lives, including our sexuality. Many factors contribute to the link between mental health and sexuality, such as individual experiences, cultural influences, and societal norms. It is essential to understand this connection to promote a healthy understanding of both mental health and sexuality. Aiming to enhance your understanding of the topic? Check out this external resource we’ve prepared for you, providing supplementary and pertinent details to broaden your grasp of the subject. NSFW AI.
When individuals struggle with mental health issues, such as depression, anxiety, or trauma, it can have a profound effect on their sexual well-being. Conditions like depression may cause a decrease in libido or sexual desire, making it challenging for individuals to connect with their sexuality. Anxiety can also lead to performance anxiety or difficulty in experiencing sexual pleasure.
On the other hand, individuals may experience hypersexuality or an increase in sexual thoughts and behaviors as a result of certain mental health conditions. Conditions like bipolar disorder or borderline personality disorder may manifest in hypersexuality, leading to challenges in maintaining healthy and fulfilling sexual relationships.
How Sexuality Impacts Mental Health
Sexuality plays a vital role in our mental health and overall well-being. A healthy understanding and expression of sexuality can contribute to positive self-esteem, body image, and overall life satisfaction. However, societal views, cultural expectations, and stigmas surrounding sexuality can have detrimental effects on mental health.
Individuals who struggle with their sexual orientation or gender identity may experience higher rates of mental health issues, such as depression and anxiety. Homophobia, transphobia, and discrimination can create significant stressors that contribute to these mental health challenges. It is crucial to create inclusive and supportive environments that embrace diverse sexual orientations and gender identities to promote positive mental health outcomes.
Another important aspect of the link between sexuality and mental health is the impact of sexual experiences and trauma. Individuals who have experienced sexual violence or abuse may develop various mental health conditions, such as post-traumatic stress disorder (PTSD), depression, or anxiety. It is essential to create safe spaces for survivors and provide access to trauma-informed care to support their healing journey.
The Role of Therapy in Addressing Mental Health and Sexuality
Seeking therapy can be a beneficial step for individuals who are navigating the complex relationship between mental health and sexuality. Therapists trained in both mental health and sexuality can provide a safe and nonjudgmental space for individuals to explore and address their concerns.
Therapy can help individuals understand the impact of mental health on their sexual well-being and develop coping strategies to overcome challenges. It can also provide a supportive environment to explore and embrace one’s sexual orientation and gender identity, promoting acceptance and self-love.
Additionally, therapy can aid individuals who have experienced sexual trauma in their healing process. Trauma-focused therapies, such as Eye Movement Desensitization and Reprocessing (EMDR) or Cognitive-Behavioral Therapy (CBT), can help survivors process their traumatic experiences and develop healthy coping mechanisms.
Self-Care Practices for Promoting Positive Mental Health and Sexuality
There are various self-care practices individuals can incorporate into their lives to promote positive mental health and sexuality:
It is important to remember that everyone’s journey towards mental health and sexuality is unique. What works for one person may not work for another. It is crucial to approach these topics with curiosity, open-mindedness, and compassion. We’re always looking to add value to your learning experience. That’s why we recommend visiting this external website with additional information about the subject. NSFW AI https://nsfwcharacter.ai, discover and expand your knowledge!
The link between mental health and sexuality is complex and multifaceted. Understanding this connection is essential for promoting positive mental health outcomes and creating inclusive spaces that embrace diverse sexual orientations and gender identities. Seeking therapy, practicing self-care, and fostering open communication are valuable steps in navigating this link and promoting overall well-being.


title: Index

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Many financial experts will tell you some unforeseen events and a lack of the right kind of Life insurance or business insurance can spell trouble quickly. An Insurance Broker can analyze your insurance needs and get you covered quickly by getting proper Insurance quotes for you.
Everyone has different insurance needs. Our Insurance Brokers will provide a personalized business insurance or life insurance along with individual assessment and find out how we can help protect your hard-won assets. Get an Insurance Quotes that fits your personal and business needs.
We have insurance brokers that are experienced in helping clients prepare for the unknown. Call us for Insurance Quotes
today. We can access many different insurance products so you can get the right one for you.
The Insurance Matters team’s main goal is to educate their clients and make sure that they have proper insurance coverage for all parts of their Life/Business/Personal Insurance.
We at theinsurancematters.com, are very passionate about the service we provide to our clients. We are constantly looking out for best of our client’s interest.
We believe life Insurance and business insurance plays a very important role in case of a loss. Life is not permanent and Business takes a long time build, Protect them.
join the teamJay Asher
We are standing by to answer any questions you have about finding the insurance quotes that right for you! Life Insurance, Commercial Insurance or Personal Insurance:
Please complete the form below, and we will contact you shortly.


title: Our Ethos and Values

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Our Ethos and Values
Our ethos is that everyone should be treated with kindness and respect at all times. We are a nurturing inclusive community where everyone can thrive, staff and pupils alike. We listen and know all our pupils as individuals.
We provide high quality teaching and learning with a broad and engaging curriculum through which every pupil has the opportunity to find their own identity, achieve academic success and personal growth.
We have unrivalled expertise in safeguarding and the flexibility to meet the needs of each pupil, working with families to support them to develop positive relationships and high self-esteem.
We live these values every day in all that we do so that our pupils recognise the importance of them through their life journey. We want our pupils to be caring and successful citizens who have improved life chances and make a positive impact on those around them.
Transforming Futures, Changing Lives
Fulfilling our Vision
At ACE we have a diverse range of learners with a range of needs that far outreaches other schools and settings in our field. As a result of this a prescriptive teaching program would not benefit the majority of our learners. What our young people do all have in common is that they thrive on relationships and all have the capacity to learn and make outstanding progress. These two factors are what underpins our approach to teaching them and developing their learning. These principles are based on two modes of delivery as set out below.


title: Product care

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Use wooden, plastic, or silicone utensils to keep your cookware scratch-free.Stay away from steel wool and use nonabrasive sponges or cloths to clean to clean, instead.
Cast Iron Care
Add oil or butter to cast iron first, let warm, and then add your ingredients when cooking.
Rinse with warm water (do not use soap) and use a brush or scraper to remove stuck-on bits. For really stubborn food remnants, scrub your pan with salt and oil, rinse and wipe clean.
Never soak your cast iron!!!
Dry the cast iron with a clean towel and then place over low heat. Once completely dry, add a thin coat of oil but make sure the oil doesn’t pool -one teaspoon for the entire surface should be just right.
Always make sure your pan is completely dry before storing.
Wood cutting boards and utensils are not dishwasher-friendly, so please give them a sudsy hand wash with gentle dish soap and a nonabrasive sponge. Wipe dry with a soft dishtowel.
We recommend regularly treating your wood with a food-safe mineral oil to ensure a smooth and moisturized finish that helps avoid cracking and warping.
Make sure wood items are completely dry before storing.
Marble requires extra maintenance, especially when it comes in contact with an acid-based liquid such as juice or tomato sauce.
If such an incident occurs, immediately wipe your marble surface with warm and soapy water on a cloth before staining occurs. Do not use soap or chemical cleaners that are acidic in nature.
If you don't catch the stain right away, wipe your marble with a mixture of 12% hydrogen peroxide and a few drops of ammonia.


title: Abstract Mixed Media Painting

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Abstract Mixed Media Painting
Glow is a serene interplay of light, texture, and reflection. Soft layers of muted white float across a golden surface like fleeting clouds or shimmering light on water. Beneath the surface, subtle hints of geometric patterns gently emerge, as if whispered into view, suggesting a quiet connection to heritage, structure, or memory.
This artwork evokes the gentle warmth of morning light diffused across ancient walls, or the glint of sunlight on a calm sea. The use of gold imbues the piece with a sense of timelessness and elegance, while the delicate veil of white invites introspection and stillness. Glow is a visual meditation - a moment captured between silence and sparkle, presence and past.
NOTE: The 1st image shows the full painting, with the following images showcasing closeups of the artwork, detailing the work done by the artist.
Painting is signed by the artist.
Buy artworks, home décor accessories, digital art, photography prints and paintings online on Artezaar.com Online Art Gallery Dubai UAE.
After the order has been placed, the artwork will be delivered to customers throughout the UAE within 3-5 working days.
Rest of the World
For International orders, the delivery may take 10-14 days after the order has been placed. The shipping fee will be calculated separately and communicated to you the buyer by the Artezaar Team before dispatch.
You will receive an email order confirmation and payment confirmation as soon as the order is processed. Our products are delivered using our trusted delivery partners, who will contact you to arrange a convenient time to deliver your package.
Note that if you are not available to receive the order after confirmation to the courier, and we need to arrange a second delivery, an additional delivery fee of AED 40 will be charged to you for re-arranging the artwork drop off within the UAE. The charge will have to be paid as cash to the courier company.


title: 07

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The attorneys at Pastore & Dailey recently claimed a victory with respect to opposing a joint motion to dismiss and motion for summary judgment in New York Supreme Court (Kings County). In that matter, Pastore & Dailey’s clients successfully secured a judgment for the client (a limited liability company whose members reside in Israel) in excess of $4MM in a Texas state court against a now defunct company. Our attorneys successfully domesticated that judgment in the New York Supreme Court and commenced an action against a party who owes money to the judgment debtor (the defunct company). After the commencement of the action, our attorneys successfully negotiated that a large sum of money be held in escrow by the defendant while the New York action was pending. Said funds came out of the sale of commercial property in New York City, which funds our clients claim to be entitled to as the judgment creditor. The defendant simultaneously moved to dismiss and for summary judgment claiming that Article 52 of the New York CPLR was the exclusive method to collect on a prior judgment and because the sale of the property did not create a cause of action for unjust enrichment and the creation of a constructive trust. While Article 52 is the primary means to collect on a judgment, our attorneys successfully argued that Article 52 is not the exclusive means upon which to collection on a judgment and furthermore successfully argued that the sale of the property created a colorable cause of action for unjust enrichment as the enhancement of value of the property was created, in part, by the investment of the judgment debtor. Therefore, the judgment creditor (our client) will be able to pursue its claims against the defendant for money that is owed to the judgment debtor.
Successfully represented a software development company in the motion for summary judgment phase of litigation pending in the Southern District of New York, in which the court determined that the Firm’s client could seek in excess to $15 million in damages at trial on its primary claim against a Fortune 500 company.


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Views: 0 Author: Site Editor Publish Time: 2023-03-09 Origin: Site
The body structure is mainly composed of the upper box, the middle box, the lower box (ash bucket), the ash cleaning system and the exhaust mechanism. According to the shape of the filter bag is divided into flat bag (trapezoidal and flat) and round bag (cylindrical). According to the air inlet and outlet mode, it can be divided into downward air inlet and upward air outlet and upward air outlet and straight flow (only limited to flat plate bag). According to the bag filtration mode is divided into external filter type and internal filter type. Filter material with fiber, cotton fiber, wool fiber, synthetic fiber and glass fiber, different fibers woven into the filter material has different properties. Commonly used filter material 208 or 901 polyester wheel flanged cloth, the use of temperature generally does not exceed 120℃, after silicone resin treatment of glass fiber filter bag, the use of temperature generally does not exceed 250℃, cotton wool fabric is generally suitable for no corrosion; The temperature is below 80-90℃ dusty gas.
Dry dust removal device, such as bag dust collector on the top of the warehouse, is a dust removal device that collects solid particles in dusty gas by using bag filter element made of fiber braid. Its principle is that dust and dust are intercepted when passing through the filter cloth fiber due to inertia and contact with the fiber. Dust collected on the filter bag is periodically removed by the dust removal device and falls into the ash hopper, and then discharged through the ash discharge system. The dust-containing air enters the dust box from the bottom of the dust collector, the dust with coarse particles settles down by its own gravity and falls into the ash bin, and the fine dust is absorbed into the dust of the filter bag through various effects. With the growth of time, the accumulation becomes thicker, the resistance of the dust collector gradually rises, and the amount of gas treated is constantly reduced. In order to keep the dust collector in an effective working state, To keep the pressure loss within a certain range, it is necessary to remove the ash adsorbed on the outside of the bag wall.
Initial dust: a dry dust filter device, filter material used for a period of time, due to screening, collision, retention, diffusion, electrostatic and other effects, the surface of the bag accumulated a layer of dust, this layer of dust is called the initial layer, in the process of movement after this, the initial layer became the main filter layer of the filter material, relying on the role of the initial layer, the filter material with larger mesh can also obtain higher filtration efficiency.
Efficiency: With the accumulation of dust on the surface of the filter material, the efficiency and resistance of the dust collector are increased accordingly. When the pressure difference between the two sides of the filter material is very large, some of the fine dust particles attached to the filter material will be squeezed in the past, so that the efficiency of the dust collector will be reduced. In addition, the high resistance of the dust collector will make the air volume of the dust removal system decrease significantly.
Dust removal: Therefore, dust removal should be timely after the resistance of dust collector reaches a certain value. The initial layer cannot be destroyed when cleaning, so as not to reduce the efficiency. With the powder repeatedly attached to the outer surface of the bag, the powder layer continues to thicken, and the resistance value of the bag dust collector also increases. The pulse valve diaphragm gives instructions. When the pulse valve is opened, the compressed air in the high pressure air bag is passed. If there is no dust or it is small to a certain degree, the mechanical cleaning work will stop working.


title: E money digital age and safety

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Did you know over 50 million people worldwide are unbanked? This paves the way for electronic money or e-money, as a smartphone is the only requirement. E-money is the electronic monetary value store operable through technical devices to make payments. But doubts regarding its safety are in the air.
Per this research, banks worldwide are integrating e-money to offer an efficient currency transaction facility to their customers. It aids the execution of global money transactions at the speed of thought. It also improves recordkeeping without any physical burden.
Why Make E-money Safer And How?
Electronic money allows cashless transactions and is considered transparent and safe in general, drawing millions of users who depend on e-money to make up for their lack of formal bank accounts.
But loopholes are emerging as it continues to evolve and become integral to our daily lives. To prevent the electronic payments industry from becoming unsafe and unreliable, stricter enforcement is essential.
E-money functions on a regulated framework, unlike other private digital money gateways. This fails to guarantee the desired protection and security paradigms required by today’s consumers.
A robust and comprehensive framework having restrictive rules is the best possible remedy. Establishing operational systems for risk management and governance on the framework would protect consumer data, handle disclosure fees, and deal with customer complaints.
To protect customers’ funds, safeguarding and segregating approaches are mandatory for all issuers to implement. Maintaining a secure liquid fund pool equivalent to customers’ balances is a critical safeguard. This would ensure monetary recovery in the event of bankruptcy and fund misuse.
However, the lack of clear bankruptcy regulations for e-money issuers might cause money segregation to backfire. Customers would also be deprived of quick access if issuers fail to solve the problems as the fund stays apart. The combined solution is continuity assurance of critical payment services through a recommended set of rules and policies.
There is a continuous push to expand the e-money presence globally. FCA data presented companies to process more than £500bn of transactions for 12 months till June 2021. Depending on the size and business model of the e-money system, supervisors and regulators must set up user safeguards and increase prudential control.
The countries having systemic issuers need to maintain payment service continuity and preserve customers’ funds, simultaneously. This requires extra efforts to assure protection and make it work effectively. Customer accessibility issues can be resolved by using services that are easily changeable and repairable.


title: Greys anatomy gives first look at ellen pompeo return in season 20

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Grey’s Anatomy season 19 and 20 spoilers follow.
Grey’s Anatomy has released a first look at season 20, with Ellen Pompeo set to return.
The hit medical drama’s milestone season will premiere on ABC on March 14, 2024 — with Dr Meredith Grey making a cameo appearance. The titular character notably departed as a series regular in season 19.
The new teaser begins with Meredith returning to Grey Sloan Memorial Hospital. “How long do I have to wait?” she asks, before the interns are seen getting involved in a chaotic situation.
Season 20 will likely pick up directly from the cliffhanger ending of the previous season, which saw new hospital chief Dr Teddy Altman (Kim Raver) unexpectedly collapse during surgery — with her fate left hanging in the balance.
The new trailer gives a glimpse into Teddy’s “critical condition”, while also teasing the romance between Jo Wilson (Camilla Luddington) and Atticus Lincoln (Chris Carmack), as well as Richard Webber’s (James Pickens Jr.) addiction struggles.
New interns Simone Griffith (Alexis Floyd) and Lucas Adams (Niko Terho) are also featured in the first look, after Simone notably called off her wedding to be with Lucas in the season 19 finale.
Station 19 will also return next year, following recent confirmation that the show will end after its upcoming seventh season.
The Grey’s Anatomy spin-off — which stars Jaina Lee Ortiz and Jason George — follows the lives of the firefighters at Seattle Fire Station 19.
After ABC confirmed the show’s cancellation, producer Shonda Rhimes paid tribute to the cast, crew and fans who have supported the series.
“Grateful for an unforgettable run,” she wrote on Instagram. “A heartfelt salute to the exceptional cast whose brilliance brought the characters to life and to the viewers who continued to make it possible! Thank you for the magic, the moments, and the memories.”


title: Can your budget handle a rate increase?

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Can your budget handle a rate increase?
There is a bunch of talk about Canadian mortgage rate increases. The single biggest investment most Canadians make is their home; this represents almost 40 % of the average family’s total assets. The big problem at the moment is that many Canadians are living in homes they won’t be able to afford once interest rates start to rise. Right now The Bank of Canada‘s overnight rate is 1 % – this prime rate went above 20 % in 1981! What would happen to your home and mortgage if rates were to go up tomorrow?
Tip # 1: Pay Down Your Principal
If rates are increasing, the best plan is to lower your principle. The two most common ways to tackle this is by:
Switching from Monthly to Rapid Bi-Weekly
Switching from monthly mortgage payments to bi-weekly payments could help you save thousands of dollars in interest.
Making Lump Sum Prepayments
Try making lump sum prepayments or doubling up your payments whenever possible. This will help you tackle your debt quickly and efficiently.
Tip # 2: Plan for it Now
Open a savings account that you are able to pull from to pay for increases in your mortgage interest rate and payments down the road.
Tip # 3: Get Some Professional Advice
Speak with a mortgage professional about your options. You may be able to refinance now and lock in a low mortgage rate.
Tip # 4: Get Real About Your Debt
If you need to, downsize your home or consolidate your loans to protect yourself from rising interest rates. Most importantly, if you are shopping for a new home, calculate your affordability at a much higher interest rate – it’s the only way you can determine your chances of affording your home for the long term.


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Does the new normal in higher ed include artificial intelligent agents?
This content was previously published by Campus Management, now part of Anthology. Product and/or solution names may have changed.
According to recent Gartner research, “by 2022, 20% of customer service will be handled by conversational agents.” If that is true, then what does that mean for students on a university campus? Impacted by the global pandemic that is COVID-19, the world has gone home and almost every interaction is done remotely. So how can an institution’s staff support students 24/7 in these challenging times? Now more than ever, institutions not only want to be highly responsive to their students’ general questions and concerns but also want to know how they are doing on a personal level. In a recent webinar with a group of global university leaders, we talked about creating a culture of caring. How does A.I. fit in to that kind of culture?
Consider Anthology's Digital Assistant, designed to understand the language of higher education students and their questions. As with any chatbot, it can answer basic questions at any time of day. But how do we make the A.I. capable of more than just providing answers? How can we gain insight into how students are doing and what they are feeling? If the bot can detect this, then how does the institution act on it?
The Digital Assistant, nicknamed RENEE, has been designed by our engineers to understand the intent of students’ questions and provide them the right answers. It has also been designed to respond to students who are not just asking about their grades or financial aid, but who are asking questions about relationships and feelings. Recognizing questions and concerns that need to be escalated right away to a live agent, RENEE will reach out to the student’s advisor to let them know the student needs immediate help from a live, caring person.
For institutions to implement practical A.I. on campus, it needs to be more than just another cool tech idea. It needs to solve a real problem that the institution is facing. For most institutions, the impact of coronavirus is that very real problem. Being there for students and providing a connection to institutional support amid quarantines and social distancing is paramount. Having a responsive and available A.I. to answer general questions can help, but it must also detect when a student needs more urgent and personalized engagement from a live agent.
Anthology's Digital Assistant can take the place of chat agents when they are not available, provide answers to questions specific to the institution and escalate issues to advisors by creating, assigning and managing cases in a timely fashion. It can provide the transcript and context of a conversation to the student’s timeline. Most importantly, it can detect if a student is showing signs of at-risk behavior or mental distress and send a high priority message to the advisor for more immediate intervention.
Artificial Intelligence in higher ed is still in the very early stages as it relates to interacting with students and providing insight to the institution. As more institutions come online using AI, the more it evolves across the industry to improve responses and actions on behalf of students. In this exciting time of change and transformation, it is time for institutions to begin looking at A.I. to solve some of the challenges we face as we enter the new normal.
Raymond Todd Blackwood
Raymond Todd Blackwood, vice president of product management for student information systems at Anthology, has spent over 25 years inventing technology solutions that run college campuses. His passion for technology and bringing people together to create efficiencies on college campuses can be heard on a variety of webinars, podcasts, papers, and presentations throughout the world. Raymond holds an MBA in Technology Management and lives in Boca Raton, FL with his wife Cat, daughters Alabama and Samantha, and dog Cooper.


title: 3964266

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If you're in need of ideas for DIY crafts, woodworking is an excellent place to begin. Many woodworking projects only require basic tools and can be completed in just a few hours. Not only are some DIY projects quick to do, they can also save your household money as well.
A bathtub tray is a simple DIY project to enhance your relaxation. Measure a sturdy piece of wood to sit across the walls of your tub. Then, sand the edges to prevent splinters, and add a coat of finish to protect the wood from moisture. Now you have the perfect spot for a book, tablet or snack while in the bath.
Why not make a wooden bench with plywood or repurposed pallet wood? You can build it in a box shape using nails and wood glue, or you can buy table legs online or locally to use instead. Opt for polished metal legs to complement the woodwork and add style to any space.
Save space and improve your organization by building a simple coat rack for the wall of your entryway, mudroom or closet. Choose your favorite hooks, pegs or even funky door knobs to attach to the wooden board and drill into the wall for this useful DIY woodworking project.
A simple, sleek bookshelf for display and storage is another excellent DIY wood project to try. You can paint the wood to make a bold statement, or choose a stain to match the other wood pieces in your home.
A bedside table or nightstand is a great opportunity to display your creativity with any level of woodworking skills. One simple table design uses metal hairpin legs, available online or at home improvement stores. You can even use scrap wood for the table surface to save on materials.
Some of the best woodworking projects are also the simplest. You don't need to be a master carpenter to build your own furniture or home accents. With the right woodworking tools and a little creativity, any of these projects would be an excellent choice for beginner woodworkers.


tier: polar

title: New zealand%27s head of state approves new medal

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Wednesday, May 23, 2007
New Zealand Defence Force personnel now have a new honour; the New Zealand Distinguished Service Decoration (DSD) has been approved by the Queen Elizabeth II of New Zealand, Prime Minister Helen Clark has said.
The Distinguished Service Decoration is designed to recognise distinguished military service by regular, territorial and reserve members of the Defence Force, including command, leadership and service in an operational environment, or in support of operations, both at home and abroad, says Clark
Defence Minister Phil Goff said that until 1995 this type of service was recognised by awards of the British Empire Medal (Military Division) and the lower levels of the Military Division of the Order of the British Empire.
"Since the change to a totally New Zealand honours system in 1996, awards at these levels have not been available,"
He says more than 700 personnel are on operations or deployment and that "the DSD is an important addition to the New Zealand Honours system", and will enjoy precedence comparable to that of The Queen’s Service Medal (QSM) and the recently instituted New Zealand Antarctic Medal (NZAM).
The new medal will be made of Sterling Silver. The obverse design is a representation of eight blades of a Kotiate (lobed club) in a circle with a Royal Crown in the centre. The front four blades are in frosted silver, the rear blades are polished silver. The reverse bears the inscription “For Distinguished Service” in English and Maori. The ribbon is dark blue and red, the colours of the British Distinguished Service Order ribbon, with two narrow yellow stripes that signify achievement.
The first awards will be announced on June 4th's Queen's Birthday honours list. Recipients will be entitled to use the initials "D.S.D." after their name.
- Press Release: "New Medal for Defence Force" — , 21 May 2007


title: Securing possession of residential property from a holdover tenant

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A residential landlord who seeks to evict a tenant from leased premises must follow certain steps and procedures outlined in the Pennsylvania Rules of Civil Procedure and comply with the terms of Pennsylvania’s Landlord and Tenant Act. A landlord is not permitted to perform a self help eviction except against a trespasser in possession. Thus, resort must be made to Pennsylvania Courts to secure possession of premises if a tenant refuses to vacate.
The quickest and most cost effective method for removing a tenant from residential real property requires a landlord to file a Landlord/Tenant Complaint in the applicable Magisterial District Court. The complaint must be filed in the proper District Court and must be served upon the tenant in compliance with the rules of court. Once service of the complaint is properly effectuated on a tenant, a hearing date is set before the Magisterial District Judge.
If the Landlord prevails before the Magisterial District Judge, a judgment for possession will be entered. Thereafter, a Tenant has a limited amount of time to appeal the judgment to the Court of Common Pleas and if the Tenant elects to do so it must pay the monthly rent into court if the Tenant wishes to remain in possession during the pendency of the appeal.
The process for removing a Tenant from residential real property contains numerous procedural pitfalls that can further delay an already time consuming and expensive process. As a result careful attention must be given to assure the eviction is effectuated in compliance with all applicable legal and procedural requirements.
For more information, contact Christopher Turner.


title: Redmi 8A Features

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Redmi 8A Features
Xiaomi was launched Redmi 8A on 25th September 2019. The phone has a 6.22" display with an aspect ratio of 19:9 and display resolution of 720x1520 pixels with 271 PPI pixel density.
Xiaomi Redmi 8A is powered by Qualcomm Snapdragon 439 processor and runs Android 9 Pie OS. It comes in two variants of memory that include 2GB+32GB and 3GB+32GB. The phone offers a micro SD card slot to expand the storage up to 512GB.
In terms of camera, Redmi 8A has an 8MP front camera and 12MP rear camera with an f/1.8 aperture. The rear camera setup has phase detection autofocus.
Xiaomi Redmi 8A, the battery capacity is 5000mAh which supports proprietary fast charging. The Connectivity options include Wi-Fi, GPS, Bluetooth v5.00, USB Type-C, FM radio, 3G, and 4G (with support for Band 40 used by some LTE networks in India). Sensors on the phone include accelerometer, ambient light sensor, and proximity sensor. This phone supports face unlock.
Redmi 8A Price in India
Infinix Hot 8 smartphone was launched on 4th September 2019 in India. The Infinix Hot 8 smartphone features a 6.52-inch touchscreen display with a resolution of 720x1600 pixels.
This dual SIM smartphone runs XOS 5.0 based on Android 9.0 Pie and is powered by a 2GHz octa-core MediaTek Helio P22 processor, paired with 4GB of RAM.
For photos and videos, the Infinix Hot 8 on the rear packs triple camera setup including a 13MP primary camera, 2MP secondary camera and 2Mp depth sensor. The rear camera setup has phase detection autofocus. For selfies, It has an 8MP front-facing camera with an f/2.0 aperture.
This Infinix Hot 8 packs 5000mAh battery. The phone comes with 64GB of inbuilt storage that can be expanded via a microSD card (up to 256GB) with a dedicated slot.
The network connectivity options on the phone include Wi-Fi, GPS, Bluetooth v5.00, USB OTG, Micro-USB, and FM radio and the Sensors on the phone include accelerometer, ambient light sensor, compass/ magnetometer, proximity sensor, and fingerprint sensor.
For authentication, Infinix Hot 8 has fingerprint reader and face unlock support.
Infinix Hot 8 Price
Infinix Hot 8 is available in Midnight Black, Quetzal Cyan and Cosmic Purple colors. The price of Infinix Hot 8 in India starts at Rs. 6,999.
Realme 3i Features
Realme was launched it's budget-friendly smartphone Realme 3i in July 2019 which almost looks similar to Realme 3. The phone features 6.2inches HD+ dewdrop notch style display with 1520 by 720 pixels display resolution, 88.3% screen to body ratio and 19:9 aspect ratio.
Realme 3i runs on ColorOS 6.0 based on Android 9.0 Pie and is powered by MediaTek Helio P60 chipset paired with 3GB+32GB or 4GB+64GB storage.
In terms of camera, Realme 3i has a 13MP front-facing camera. The phone rear camera setup consists of 13MP primary camera with f/1.8 aperture and 2 MP depth sensor.
Realme 3i comes with corning Gorilla Glass 3 protection and the battery capacity is 4230mAh.
The Connectivity options include Wi-Fi 802.11b/g/n, Bluetooth 4.2, GPS, USB-OTG, FM radio. It has a variety of sensors including E-Compass, Light Sensor, Proximity, Gravity Sensor, Accelerometer Sensor, Fingerprint Sensor, and OTG.
Realme 3i Price
The Realme 3i(3GG+32GB) storage model price starts at Rs. 7,999.
Realme 3i is available in three variants of colors include Diamond Red, Diamond Blue, and Diamond Black.
Xiaomi was launched it's Redmi 7A smartphone in May 2019. The phone comes with a 5.45 inches HD+ display with 720 x 1440 pixels of display resolution.
Redmi 7A runs MIUI 10.2.7 on top of Android 9 Pie and is powered by Qualcomm Snapdragon 439 SoC. Redmi 7A comes with two variants of memory that includes 2GB of RAM with 16GB,32GB internal memory and 3GB of RAM with 32GB inbuilt storage.
As for as the camera concerned, Redmi 7A consists of a 5MP selfie camera and 12MP rear camera with an f/2.2 aperture. The phone has a 4000mAh battery with 10W battery charging.
Redmi 7A is available in Matte Black, Morning blue, Matte Blue, Matte Gold, Gem Red, Gem Blue colors.
The Redmi 7A phone's price in India start at Rs.5,999 for 2GB+16GB and Rs.6,199 for 3GB+32GB and 2GB+32GB memory.
Realme C2 Features
Realme was launched its budget offering smartphone Realme C2 in April 2019. The phone has a 6.1" HD+ dewdrop style notch display with a resolution of 720x1560 pixels. The phone is protected by Corning Gorilla Glass 3.
Realme C2 runs ColourOS 6 on top of Android 9 Pie and is powered by an octa-core MediaTek Helio P22 processor.
This phone comes in two variants of memory that include 2GB+16GB and 3GB+32GB.
In terms of camera, Realme C2 sports 5MP front-facing camera and comes with a dual-camera on the rear side with a single LED flash including 13MP main camera and 2MP depth sensor.
Realme C2, the battery capacity is 4000mAh.
Realme C2 Price
Realme C2 is available in Diamond Blue and Diamond Black. The price of the Realme C2(2GB+16GB) starts at Rs.5,999 in India.
“We express our condolences to those who have lost their loved ones, and wish recovery to those who survived,” said the Russian leader’s press secretary.
Lionel Messi and Cristiano Ronaldo are both incredibly successful soccer players, and they have each won a large number of trophies and awards throughout their careers.
Cristiano Ronaldo and Lionel Messi are both considered to be among the best soccer players in the world. Both players have had highly successful careers.
Al-Nassr FC is a professional football club based in Riyadh, Saudi Arabia. The club was founded in 1955 and has won several domestic and international titles.
Vivo sub-brand iQOO has launched the company’s latest 5G smartphone- iQOO Z1x 5G in China on July 9, 2020.
This episode describes. making of magnets, how to they working on it. Video mad by discovery uk.
Russian President Vladimir Putin says the Israeli military’s aerial operations in the Syrian airspace are in flagrant violation of the incumbent Damascus government’s sovereignty as tensions are simmering between Moscow and Tel Aviv over the downing of the Russian Ilyushin Il-20 reconnaissance aircraft in the western Syrian province of Latakia.
The permanent residency card will grant them the same access to education and healthcare in government institutions as Qatari nationals.
According to the latest leak, Samsung Galaxy A91 may launch in India at the end of this year.
Xiaomi India has just unveiled it's latest flagship killer- Xiaomi Mi 10 5G smartphone in India.