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Recently, a Korean research team has developed the source technology for smart windows that change colors according to the amount of moisture, without needing electricity.

Using this mechanism, the team developed a humidity sensor that can convert light's energy into electricity by combining a solar battery with a water variable wavelength filter made of metal-hydrogel-metal structured metamterial that changes resonance wavelength depending on the external humidity.

The research team found that when the chitosan hydrogel is made into the metal-hydrogel-metal structure, the resonance wavelength of light transmitted changes in real time depending on the humidity of the environment.

Together, they successfully developed a variable color filter using a metal-hydrogel-metal resonator structure using chitosan-based hydrogel, and combined it with solar cells to make a self-powering humidity sensor.

He added, "It will create even greater synergy if combined with IoT technology such as humidity sensors that activate or smart windows that change colors according to the level of external humidity."

The Masters’s student has been selected for international training at the European Organization for Nuclear Research in Switzerland, where she will be working in the world’s largest particle physics laboratory.

“I am working here in Technology Department of MSC (Magnets, Superconductors and Cryostats) where I help in designing, constructing and measuring superconducting magnets for the CERN accelerator complex with my team.

She also enthused about being part of CERN and how she wishes to represent Pakistan in a positive light through her work at such a prestigious institution.

European Organization for Nuclear Research, known as CERN, is a European research organization that operates the largest particle physics laboratory in the world.

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe.

The test automatically detects the different interaction models of the skill and it checks the resolution of the utterances.

To run utterance resolutions, we will use the ASK CLI command: Those commands are integrated in the bash script file .

Here you can find the full bash script: The test automatically detects the different interaction models of the skill and it checks their conflicts.

Here you have the technologies used in this project The Alexa Skills Kit Command Line Interface (ASK CLI) is a tool for you to manage your Alexa skills and related resources, such as AWS Lambda functions.

The test automatically detects the different interaction models of the skill and it runs the evaluation for the annotations given.

We received the 10th Gen Intel Core processors without the stock cooler, but it’s not like we needed one anyway.

For starters, Intel applied the all-black treatment to the heatsink fins, giving it a much sleeker look than the bare grey aluminium of the previous generation.

It is a huge upgrade from the disgusting mess of cables that were connected to the earlier Intel stock coolers.

Interestingly, Intel has returned to using a copper core, after their jump to a full-aluminium heatsink to save cost apparently backfired when the previous generation of CPUs were thermally-limited from achieving their full boost potential.

If you want one of these revised Intel stock coolers for whatever reason, you will have to get one of these processors: It seems the 10th Gen Intel Core i5 and Core i3 parts will still come with the bare aluminium heatsinks and ugly fan wires.

The device's website reads, "The 5GBioShield USB Key with the nano-layer is a quantum holographic catalyzer technology for the balance and harmonisation of the harmful effects of imbalanced electric radiation."

"In our opinion the 5G Bioshield is nothing more than a £5 USB key with a sticker on it.

But, perhaps as expected, the 5G Bioshield device is quite literally just a USB key with a sticker on it, according to newly released research from researchers at cybersecurity firm PenTest Partners.

In that report, it recommended people purchase a so-called "5G Bioshield" device for £300 ($370) to protect themselves.

The researchers found no other electrical or other connections between the device and the sticker, and no other components beyond just the USB stick itself.

Unsurprisingly then, the Ryzen 7 3800XT and Ryzen 9 3900XT have only achieved incremental improvements in 3DMark Fire Strike Physics compared to their predecessors.

According to 3DMark, the Ryzen 7 3800XT and Ryzen 9 3900XT have 3.9 GHz and 3.8 GHz base clocks.

In plain terms, Chiphell claimed that the Ryzen 9 3900XT would be capable of reaching 4.8 GHz, with the Ryzen 7 3700XT trailing by 100 MHz with a maximum boost clock of 4.7 GHz.

However, they have also put paid to the notion that the XT refresh would feature 200 MHz higher boost clocks than the likes of the Ryzen 7 3800X and Ryzen 9 3900X.

We could be wrong, but it seems unlikely that either the Ryzen 7 3800XT or Ryzen 9 3900XT will have the clock speeds uplifts that Chiphell suggested they would.

"What kind of new technology these new plasma physics phenomena might translate is largely unknown, especially because the field of QED plasmas itself is a kind of uncharted territory in physics," author Peng Zhang said.

The QED processes will result in dramatically new plasma physics phenomena, such as the generation of dense electron-positron pair plasma from near vacuum, complete laser energy absorption by QED processes, or the stopping of an ultrarelativistic electron beam, which could penetrate a centimeter of lead by a hair's breadth of laser light.

Strong-field QED is a lesser-studied corner of the standard model of particle physics that has not been explored at big collider facilities, such as SLAC National Accelerator Laboratory or CERN, the European Organization for Nuclear Research, due to the lack of strong electromagnetic fields in accelerator settings.

Researchers released a study taking stock of what upcoming high-power laser capabilities are poised to teach us about relativistic plasmas subjected to strong-field quantum electrodynamics (QED) processes.

The group hopes the paper will help bring the attention of more researchers to the exciting new fields of QED plasmas.

But by looking at the relative positions of the centres of the crater, the peak ring and the uplift of the mantle mentioned above, it is possible to estimate where the asteroid was coming from.

The shape and continuity of Chicxulub’s peak ring suggests that the actual asteroid had an angle of between 60° and 45°.

By testing different asteroid sizes, speeds and angles of impact – 90° (vertical), 60°, 45° and 30° relative to Earth’s surface – it is possible to simulate which scenario would have left a crater that looks like the real one.

The samples recovered during the 2016 expedition helped to refine models of how the peak ring, and ultimately the Chicxulub crater, was formed.

The research suggests that the angle of impact of this asteroid may have led to the worst possible consequences for Earth’s inhabitants.

Unlike a correlation matrix which indicates correlation coefficients between pairs of variables, the correlation test is used to test whether the correlation (denoted \(\rho\)) between 2 variables is significantly different from 0 or not.

The null and alternative hypothesis for the correlation test are as follows: Suppose that we want to test whether the rear axle ratio ( ) is correlated with the time to drive a quarter of a mile ( ): The p-value of the correlation test between these 2 variables is 0.62.

This test proves that even if the correlation coefficient is different from 0 (the correlation is 0.09), it is actually not significantly different from 0.

Note that the p-value of a correlation test is based on the correlation coefficient and the sample size.

With a small sample size, it is thus possible to obtain a relatively large correlation (based on the correlation coefficient), but still find a correlation not significantly different from 0 (based on the correlation test).

In a tokamak, fusion power is determined by temperature, plasma density and confinement time.

“We’ve known for some time that there is a relationship between core electron density, electron-ion collisions and particle movement in the plasma,” said William & Mary’s Saskia Mordijck, who led the multi-institutional research team at DIII-D.

They confirmed low collisionality improves electron density peaking through the formation of an internal barrier to particle movement through the plasma, which in turn altered the plasma turbulence.

The work, published in an article in the journal Nuclear Fusion, helps better explain the relationship among three variables – plasma turbulence, the transport of electrons through the plasma and electron density in the core.

These observations are not only in agreement with prior modeling scans of how turbulence changes as a function of collisionality and its impact upon the particle fluxes, but also with the multi-machine database (Fable E. et al 2010 Plasma Phys.

For starters, they need to be decent photovoltaic materials, efficiently converting photons into free electrons and the corresponding hole with a positive charge.

Once the charges are at the surface, the material has to also act as a catalyst, breaking open water and releasing hydrogen and oxygen.

To start with, their choice of material—SrTiO —handles the efficiency of converting photons to electrons and holes.

In this case, the underlying surface is the SrTiO material, and the wavelengths used were the same ones that produce electrons and holes.

Summing the process up, the structure of the underlying materials delivers electrons and holes to different areas of the SrTiO material.

Einstein contributed greatly to the field in 1905, by interpreting the photoelectric effect as being a collision between electrons and photons—that is, infinitesimal particles carrying pure energy.

To remain in accordance with the idea of a static universe, Einstein introduced a cosmological constant into his equations, which froze the state of the universe.

But despite this vital contribution, he remained stubborn in rejecting the key lesson of quantum mechanics – that the world of particles is not bound by the strict determinism of classical physics.

Plato taught that thought should remain ideal, free from the contingencies of reality a noble idea, but one that does not follow the precepts of science.

Einstein himself was convinced that pure thought was capable of fully capturing reality, but quantum randomness contradicts this hypothesis.

We pass the workflow, cross-validation folds, grid of parameters to test and the metric we want to save from each model output.

For example, because XGBoost is a boosted tree type of model we use the function.

XGBoost supports early stopping, i.e., you can specify a parameter that tells the model to stop if there has been no log-loss improvement in the last trees.

If there’s a parameter combination that is not performing well the model will stop well before reaching the 1000th tree.

When I first fit this model with XGBoost I got an accuracy of 0.96 and a validation log-loss of 0.306.

It also provides a trait enabling the BDD style of using specifications for tests and, in my opinion, this is the best option to practice BDD in Scala.

In BDD, these specific requirements are used to drive the development process in the first step of its cycle.

In comparison, the BDD cycle is almost identical to the latter, except the first step is replaced by the writing of a specification, rather than the development of a test.

In the past few months, I've been working with Scala and I've been thinking about what would be the best way to apply BDD using the most popular testing tools in the Scala environment (ScalaTest and Specs2) and the most popular BDD tool: Cucumber.

Here's the code: And finally, the code for an unsuccessful withdraw operation, where the account holder is notified overdrafts are not permitted: I think BDD, if correctly applied and with everyone is committed, can be a very efficient approach to software development, especially for projects where a significant number of team members don't have a deep understanding of the business logic.

We use normal windows because we want to have a glimpse of the outside, the bigger the window the more of

Here is a normal window.

What is a Rolling or Expanding window?

What is an expanding window?

By the end of the post, you will be able to answer these questions: What is a rolling window?

In fact, you should call the Dispose method explicitly on any object that implements it to free any unmanaged resources for which the object may be holding references.

A class that has no finalizer implemented but is holding references to unmanaged objects can cause memory leaks, because the resources might become orphaned if a class instance is destroyed before releasing the unmanaged objects.

In other words, finalizers are methods that the GC calls on "seemingly dead objects" before it reclaims memory for that object.The GC calls an object's finalizer automatically, typically once per instance—although that's not always the case.

Finalizers—Implicit Resource Cleanup Finalization is the process by which the GC allows objects to clean up any unmanaged resources that they're holding, before actually destroying the instance.

Note that an object should implement IDisposable and the Dispose method not only when it must explicitly free unmanaged resources, but also when it instantiates managed classes which in turn use such unmanaged resources.

A developer simply needs to include the spark-tfrecord jar library and use the traditional DataFrame API to read and write TFRecords as illustrated in the following code: The interoperability between Spark and deep learning frameworks like TensorFlow is likely to continue being a challenging area for most organizations.

Spark-TFRecord is a native TensorFlow TFRecord for Apache Spark.

Internally, LinkedIn’s engineering teams were regularly trying to implement transformation between TensorFlow’s native TFRecord format and Spark’s internal formats such as Avro or Parquet.

Recently, engineers from LinkedIn open sourced Spark-TFRecord, a new native data source from Spark based on the TensorFlow TFRecord.

TFRecord, is the native data structure in TensorFlow, is not fully supported in Apache Spark.

Linux and Git creator Linus Torvalds revealed that he upgraded to an AMD Ryzen Threadripper 3970X processor powered machine after 15 years of upgrading among Intel processors.

This is likely his main machine from which he does pioneering work on the future of Linux and his other creations.

"In fact, the biggest excitement this week for me was just that I, upgraded my main machine, and for the first time in about 15 years, my desktop isn't Intel-based.

My 'allmodconfig' test builds are now three times faster than they used to be, which doesn't matter so much right now during the calming down period, but I will most definitely notice the upgrade during the next merge window," he stated.

What makes this story big is the fact that the "Zen 2" microarchitecture, and a processor with a similar multi-core architecture to AMD's EPYC enterprise processors, is now being used by the creator of the most popular enterprise operating system.

Deep learning frameworks such as PyTorch and Tensorflow can be divided into three parts: model api, gradient calculation and gpu acceleration.

<meta charset="utf-8">The optimization process of deep learning models is based on the gradient descent method.

The process of the two modes is expressed as follows: The gradient values ​​calculated by the two modes are the same, but for the calculation order is different, the calculation speed is different.

The reason for this is that the loss of deep learning is definitely a scalar, and gradient descent requires that the gradient must be of the same type as x.

The answer is to derive x for each value of y.In addition, Google ’s new deep learning framework JAX uses a more advanced method, the vectorization operation vmap to speed up the calculation.

OnePlus launched its third pair of wireless earbuds alongside the OnePlus 8 series smartphones last month, called the OnePlus Wireless Z. However, just like the previous generation wireless earbuds from OnePlus, the OnePlus Wireless Z are not truly wireless.

According to a new tweet from leaker Max J, the company's first truly wireless earbuds will be unveiled in July.

The leaker claims the earbuds will be called the OnePlus Buds and feature a design that looks to be "inspired" by Apple's AirPods.

While the design of the charging case appears to be slightly different, the earbuds themselves seem to be quite similar to OPPO's AirPods clone, the Enco Free.

Since OnePlus and OPPO are sister companies, it is possible that the OnePlus Buds will be similar to the OPPO Enco Free.

Researchers in Australia claim that they have recorded the fastest internet speed ever that could enable a user to download more than 1000 HD (high-definition) movies in less than a second.

The team of researchers from Australia’s Swinburne, Monash, and RMIT universities recorded data speeds of 44.2 terabits per second (Tbps), which is a million times faster than the speed offered by a good Australian government-owned National Broadband Network (NBN) connection, as per an Australian news agency.

Researchers claim that they achieved the record speed by using a single optical chip the size of a fingernail.

The researchers from the three universities found that each of the new split channels had the same capacity as the original one, thus drastically multiplying the amount of data a single fibre can send and receive.

Click here to join our channel (@expresstechnology) and stay updated with the latest tech news The micro-comb device is compatible with Australia’s current NBN infrastructure and the team hopes for cheaper and more energy-efficient connections in the future.

Strange prediction of a new species of neutrinos, one more than what the standard model predicts, is only the tip of the iceberg.

These events, along with other observations at the Antarctica neutrino observatory IceCube, do not follow any set pattern of behaviour that the Standard model predicts.

According to the Standard model, high-energy neutrinos shouldn’t be able to pass through matter.

The probability of a high-energy neutrino colliding with matter is so high that the chances of one passing through Earth without colliding are near zero.

One theory suggests that these high-energy neutrinos could’ve been produced by the interaction of cosmic rays with the CMB; however, for this explanation to work, there should have been a stream of low energy particles with the high-energy ones.

An MIT study has discovered that these batteries could still prove very useful in the second part of their lives when used as backup storage for grid-scale photovoltaic installations, aka solar energy farms.

Testing out a number of economic scenarios they discovered that installing a new battery system in solar energy farms wasn't profitable, but when they used EV batteries on their second life, a profitable investment could be met as the batteries cost under 60% of their original price.

This could all prove very useful for the second part of EV batteries' lives.

A recent report by McKinsey Corp. demonstrated that as demand for backup storage for renewable energy projects keeps growing from now until 2030, this method of re-using EV batteries could prove extremely useful.

For the next step, he said, "There’s a lot of stakeholders who would need to be involved in this: You need to have your EV manufacturer, your lithium-ion battery manufacturer, your solar project developer, the power electronics guys."

We covered that in FreeNAS 11.3-U3 Maintenance Release Fixing Over 100 Bugs.

We now have the FreeNAS 11.3-U3.1 dot release rushing the SMB fix into the ecosystem.

If you are installing a new system, then this will be part of the ISO you download, however, we would caution our users that if they downloaded 11.3-U3 in preparation for a future installation, now is a good time to re-download and remove the prior release.

(Source: STH) With FreeNAS, upgrading to the newest versions can be a roller coaster ride, even when it is as simple as installing a release that is not giving new functionality and is instead delivering 100+ bug fixes as U3 did.

With FreeNAS, you get much more than you pay for, but being on the latest release seems to introduce new challenges from time to time.