CE Bimetal Thermostat Ac Spare Parts For Water Heater Temperature
Manual reset type: Temperature sensing components consist of
bimetallic strip. When the temperature reached the action
temperature range, it will jump quickly and the movable disc
disconnects. When the temperature declines to a fixed temperature
point, the contact point cannot reset until reconnecting the
circuit by pushing the reset button. And then the contact points
recover, reaching a purpose of connecting or disconnecting the
circuit and restarting the circuit by manual reset.
Rapid heat transmission.
No breakdown, no flashover.
Every product will be tested, extremely high temperature pass rate.
1 electrical parameters: 25/250V (resistance loaded),
2 temperature range: 45 ~ 150C(can be made by customer'
3 service life: 25/250V 10000 cycle,
4 contact resistance than 50m Ω;
Automatic reset and manual reset for your choice
Boiler Hot-water Heater, Vacuum cleaner, Duplicator, Electric
Stove, Oven, Dryers, Refrigerator, Dish washer, Air-conditioning,
and other home application etc
|Model||Voltage/Current||Open temperature||Contact style|
NC or NO
NC:normally closed,contact open when temperature rises to set point
NO:normally open,contact closed when temperature rises to set point


Safety, Efficiency and Portable
Keep you warm from the stadium to the forest.
- Hand warmers and power bank 2 in 1.
- Charging for 2-3Hrs, 4-8Hrs battery life.
- Adjustable in a range of 35-55℃ (95-131℉). Double-sided fast heating up in 3 seconds.
- A pebble-shaped design and mini size make it convenient to carry it anywhere.
- With a large capacity of 5200mAh phone charge function.
- 3 indicator lights to show the battery condition.
- The hand warmers are made of premium quality ABS material, eco-friendly
- Lithium batteries. It’s reusable and safe.
- Equip with a number of temperature sensors in the interior and has passed CE, PSE, FCC, ROHS.
- It can fully charge iPhone, Samsung, and other Android phones.
|Camping, Hiking, Winter Sports
|Aero-metal + Lithium Battery
|ABS + PC (Flame Retardant)
|2-3Hrs (Tested with adapter of 5V2A)
|4-8Hrs (Tested at temperature of 20℃)
|2.1x 4.1 x 1.2in / 5.3 x 10.3 x 3cm
|0.412lbs / 0.187kg
|1x Rechargeable Hand Warmer, 1x Velvet Bag, 1x Power Line, 1x Adapter, 1x Product Instruction
|Unconditional return & replacement in 30 days
Frequently Asked Questions (FAQ)
Q: How to turn off the heat?
A: You can long-press the proper button ( same as the one you turned the heat on with) 3 seconds more, the screen shows the battery percentage, and you can feel the temperature down. Then you can leave it on that screen, and it will turn off after the 30s, or double press the left button to turn off directly.
Q: How long can the product be used in warm hands mode?
A: The use time of the product is related to the ambient temperature and product temperature. Our test result is about 4-8 hours. Of course, if you want to add electricity, it can be fully charged in 2-3 hours.
Q: What temperature is suitable for using this product？
A: We recommend using it at an ambient temperature of -10 degrees or more to achieve an ideal heating time and effect.
Q: Does it waterproof？
Q: Can I charge my mobile phone while the hand warmer is charging?
A: No, the internal heat will be substantial when the hand warmer and the power bank work simultaneously. We have set a protection mode for your safety, and the two methods cannot work simultaneously.
Q: How many times can the battery be cycled?
A: The battery uses a grade A power cell, which can guarantee 500 cycles of use. According to 100 times of charging and discharging a year, the battery can be used for five years.
Q: Will it explode？
A: No, there is a temperature sensor on the battery. The product will automatically shut down if it finds overheating to ensure safety.
Q: What kind of phone can be charged?
A: Hand warmers are equipped with adapters and data cables, which are compatible with all mainstream mobile phones on the market, so you can buy them with confidence.
I use it simply for when menstruation cramps are too much and it is a discreet aid nobody notices, unlikes a waterbottle that have the possibility to leak water. It is incredibly handy and I will definitely buy a new one once my current one has completed its life.
After 3 years of use, the coating will chip off. The bare metal does not form a problem but it looks worn.
I have dropped it twice when flipping a blanket and the halves seperate on impact. There is something loose inside. It still functions perfectly however.
Bought it December 2022. Used it like 12 times during winters to walk outside. Then put it away once weather got nicer. Today tried to charge it to go and walk. It won't take charge. Looks pretty dead. Waste of $30.
Excellent product for golfers. I use it all the time in winter Las Vegas. Last for four hours at 120 degree setting.
Not sure what’s going on with my order. Gave up on waiting.


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The WT3656 New 4 IN 1 Forehead & Ear Digital Infrared Thermometer measures the body temperature based on the infrared energy emitted from the eardrum or the forehead. Users can quickly get measurement results after positioning properly the temperature probe in the ear canal, forehead,surroundings and object temperature Which is very suitable for both baby and adults.
– Quick 1s measurement, less than 1 second and measured accurate with reliable
– Patent technology to realize separate measurement of adult and child
– Contact forehead or keep less than 3 centimeters when used for measuring to get the most accurate data
– Reliable: each thermometer will do environmental test under 15-35ºC during production
– Multi-functional,Easy operation, one button design.Can measure ear, forehead, room, milk, water and object temperature
– 40 sets of memories, easy to recall
– Easy operation, one button design, to measure both ear and forehead
– Audio and visual fever warning
– ℃ and ℉ conversion
– Auto shut-down and power-saving


Here’s a selection of impactful work that caught my eye, grouped in categories:
Language models as knowledge bases? Facebook and UCL
. This paper investigates whether pre-trained language models build up their own relational knowledge bases that can serve as question/answer systems. They find that “without fine-tuning, BERT contains relational knowledge competitive with traditional NLP methods that have some access to oracle knowledge, (ii) BERT also does remarkably well on open-domain question answering against a supervised baseline, and (iii) certain types of factual knowledge are learned much more readily than others by standard language model pretraining approaches.”
Scaling Law for Neural Language Models
. This is one of few that provides empirical evidence and theory around neural network model scaling. They focus on transformer models and show that model performance scales as a power-law with more data, more model parameters, and more training time.
Towards a Human-like Open-Domain Chatbot
, GoogleAI. This paper presents “Meena”, an evolved transformer model that has 2.6 billion parameters and is trained on 341 GB of text, filtered from public domain social media conversations. This neural conversational model has 1.7x the capacity and is trained on 8.5x the amount of data than OpenAI’s GPT-2. The authors describe a new evaluation metric called Sensibleness and Specificity Average (SSA), which captures basic, but important attributes for natural conversations according to crowd workers. They show that perplexity, which is automatically calculated by neural models, correlates well with SSA, thus providing a quicker evaluation method than sampling crowd workers.
Microsoft released Turing-NLG
, a 17 billion parameter language model capable of generation, Q&A, and summarisation. They show improved performance over GPT-2 and Megatron.
Then, SambaNova published a blog
post saying that they’d trained a 100 billion parameter language model on their Dataflow-optimised compute system. They suggest that it is conceivable to run a 1 trillion parameter model soon (!).
Transfusion: Understanding Transfer Learning for Medical Imaging, Google Research
. This paper studies the effect of transfer learning on medical imaging model performance. They find that pre-training on ImageNet doesn’t actually improve model performance on diagnosing diabetic retinopathy or the classification of lung disease from chest X-rays.
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data, Uber
. The authors seek to speed up neural architecture search - an exciting approach to automatically design neural networks to have high predictive performance. They do so by using a generator (from a GAN) to synthesize artificial training data and show that applying neural architecture search on this unbounded synthetic data for a few steps predicts whether the NAS will perform well on real data. This means you can evaluate lots of neural architectures on synthetic data to find the right architecture and then move to real data to complete training.
On the relationship between self-attention and convolutional layers
. Attention-based neural networks, which have taken NLP by storm due to their ability to model sequences, have also been shown to match CNNs on computer vision tasks. As a result, this paper explores whether learned attention layers operate similarly to convolutional layers. They show that multi-head self-attention layers attend to pixel-grid patterns similarly to CNN layers.
Turning any 2D photo into 3D using CNNs
, Facebook AI
. The authors trained a mobile phone resource-aware CNN using neural architecture search on millions of pairs of 3D images and their accompanying depth maps.
EfficientDet: Scalable and Efficient Object Detection
, Google Brain
. The authors present several optimizations to neural architecture search to develop the EfficientDet family of object detector models. Their best model is more accurate than the next best with 4x fewer parameters and using 13x fewer FLOPs on the COCO dataset.
Predicting the future
. This is a cool paper that addresses the biggest problem in self-driving: Predicting how a given scene will evolve and planning accordingly. The approach involves learning a model for the probability of future events. It is trained from observed future sequences. Then, they learn a second distribution to reflect the present world, which only has access to past data. During inference, they jointly predict future scene representation (semantic segmentation, depth, and optical flow).
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction, Google Brain
. As the next step to their work on learning world models, the authors test whether RL agents can learn a world model by going through a more messy and slow process of evolution instead of minimizing a forward-predictive loss. To do so, they artificially constrain the probability that an agent is allowed to observe its real environment at each training step. As a result, the agent has to fill in its observation gaps to build out its world model. Even though the agent has been explicitly trained to predict the future, the resulting world model allows the agent to display key skills to make it successful in that environment.
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video, University of Freiburg
. Designing reward functions that enable agents to learn desired behaviors is challenging in the real world. Unsupervised learning can help. This paper presents an approach to learn a task-agnostic skill embedding space from unlabeled multiview videos. They show that the learned embedding can guide an RL-agent to solve a wide range of tasks by composing previously unseen skills.
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
, Google Research
. The authors propose a training architecture to increase the number of frames per second that an RL agent can learn from on a given number of computing resources. Here, a central learner trains the model on GPUs using input from the distributed inference of an actor in its environment on hundreds of machines. The result is a significant speed-up in wall-clock time and computational efficiency over existing methods like IMPALA that use CPUs for neural network inference.
Systems and methods
Causal Discovery from Incomplete Data: A Deep Learning Approach, Eindhoven University of Technology and MIT
. This paper addresses the problem of learning causality in situations with missing data. They propose a deep learning framework called Imputated Causal Learning
(ICL), for iterative missing data imputation and causal structure discovery, producing both imputed data and causal skeletons. The paper presents simulations on both synthetic and real data to show that ICL can outperform state-of-the-art methods under different missing data mechanisms.
Science (bio, health, etc.)
A Deep Learning Approach to Antibiotic Discovery, MIT and Harvard.
This paper is exciting because it demonstrates how deep learning on molecular graphs can be used to predict molecules with antibacterial activity. They use this approach to screen a large pool of chemical molecules and discover a molecule, Halicin, that is structurally divergent from conventional antibiotics. Halicin displays bactericidal activity against a wide phylogenetic spectrum of pathogens including the bacterium that causes tuberculosis.
Learning to grow: control of materials self-assembly using evolutionary reinforcement learning, Lawrence Berkeley National Lab and Vector Institute.
The authors study molecular self-assembly, a process by which molecules or nanoparticles naturally come together into ordered structures. Today, if we’re given a set of molecules, conditions and a time period, it is not possible to predict the structure, phase, and yield of the structures that will form as a result. This paper shows how neuroevolutionary RL can learn a network that can “enact a time-dependent protocol of temperature and chemical potential in order to promote the self-assembly of the desired structure or choose between two competing polymorphs. In both cases the network identifies strategies different from those informed by human intuition, but which can be analyzed and used to provide new insight.”
Detection of anaemia from retinal fundus images via deep learning, Google Health and Google Research
. Anemia manifests by a reduction in the red blood cell or hemoglobin count and the condition affects an estimated 1.6B people worldwide. Testing for it requires a blood draw. This paper shows that anemia can be regularly screened for using non-invasive retinal fundus images.
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding, Google Applied Science, X-Chem, ZebiAI, and Cognitive Dataworks
. This paper is great. It focuses on DNA-encoded libraries, a powerful technique for large-scale screening of small molecules in drug discovery. The technique works by barcoding chemical molecules, mixing them all together with a drug target of interest (e.g. a protein), then deconvoluting which molecules bound to the drug by using next-generation sequencing and barcode counting. The paper throws ML into the mix by training a graph CNN model on round 1 of a DEL experiment that identifies which chemicals are bound to a target. The model is used to virtually screen large libraries (approx 88M compounds) to predict which molecules are worth empirically testing in the next round of DEL experiment. The authors report hit rates between 29% - 72% compared to 1% hit rates in non-ML guided DEL experiments. Air Street Capital has made an investment in a related company called Anagenex
Unified rational protein engineering with sequence-based deep representation learning
, Harvard and MIT.
This paper applies techniques from presentation learning in NLP to proteins. The authors train LSTMs to learn statistical representations of proteins as unlabelled amino acid sequences from approx. 24 million sequences. The model summarises arbitrary protein sequences into fixed-length vectors that approximate fundamental protein features (function, stability, secondary structure). They show that these representations can be used to predict the structural and functional properties of proteins. While having solved 3D protein structures is a gold standard for developing new proteins, this approach should help accelerate things! Code here
International evaluation of an AI system for breast cancer screening, Google Health et al.
This paper reports a large-scale screening mammography trial in the US and UK. It shows that deep learning models can predict biopsy-confirmed cancer cases and bring about an absolute reduction in false positives and false negatives. This could reduce the workload of a second reviewer (in the UK’s two reviewer system) by 88%. After its release, the paper drew criticism
by some physicians who state that predicting biopsy-confirmed cancer isn’t the point of screening, which is to find more curable cancers. More criticism
came because the work does not offer a detailed methods section nor does it offer open-source code, which is an impediment to reproducibility and transparency. Another NYU group paper
published around the same time evaluated CNNs on over 1M breast cancer images. The code and trained models are available here
Learning to Simulate Complex Physics with Graph Networks
. This paper shows how to learn a realistic simulator of complex physics. This is done by representing the state of a physical system with particles, expressed as nodes in a graph, and computing dynamics via learned message-passing. They show how this model accurately simulates fluids, rigid solids, and deformable materials interacting with one another.
A Survey of Deep Learning for Scientific Discovery
. This is an overview of “many widely used deep learning models, spanning visual, sequential and graph-structured data, associated tasks and different training methods, along with techniques to use deep learning with fewer data and better interpret these complex models — two central considerations for many scientific use cases.”
Other papers and posts
A review of several cool NeurIPS 2019 papers here
Deep learning learns
to solve math problems here
Graphcore Research directions in 2020 here
Reliance on metrics is a fundamental challenge in ML here
On the Measure of Intelligence here
. This work argues that task-based, metric-driven development in AI is not a rigorous path towards developing intelligent systems.


Fully upgraded, Version 4, which includes THX, Dolby Digital and DTS versions.
The DC-1 is a digital control center with performance and flexibility. A superb
line level preamp, the DC-1 provides 8 audio, 5 video (3 S-VHS), and 4 digital
(2 coaxial, 2 optical) inputs. The video and digital inputs can be assigned to
any of the audio inputs for custom configuration. The digital inputs are
processed through true 20-bit D/A converters. Built-in digital crossovers make
it possible to tailor the output to match any speakers in a system. There is
also a second set of pre-outs with independent volume and source selection to
accommodate music in a separate zone. Fabulous sound!
Excellent condition. Original owner. Original packaging, except for foam. Includes original and upgrade remotes and manuals.


With Splash-resistant Design
Every realme mobile phone has gone through rigorous quality tests to ensure the durability and sturdiness.*
1. 6000mAh is the typical value of realme C12 battery capacity.
2. The data of “57 days standby” comes from realme lab. Since the test results are affected by the test environment, please refer to the actual situation.
3. The Reverse Charging feature of the realme C12 requires turning on the OTG function for providing charging to other phones via the OTG cable.
4. The data of battery life are from the realme lab. The actual results may vary slightly depending on the environment.
5. The screen ratio data comes from the test results of realme lab.
6. The AnTuTu benchmark result of Helio G35 and the other entry-level processor is obtained from realme Lab.
7. The test standards are all from realme lab.


Currently, as electronization is applied to vehicle at a low level, PCB is not much needed, and its value is low, too. Of overall costs of electronic device, PCB accounts for only 2%. For each vehicle, about one square meters of PCB in average is used, US$60 in value. This figure becomes 2 to 3 square meters in the case of a luxury car, US$120 to 130 in value. Among electronics components applied to traditional vehicles, those in the power system need PCB the most, accounting for 32% of the total, mainly the engine control unit, engine primer, electric generator, transmission control device, fuel injection pump and power steering system. In the body electronic system, the figure is 25%, including lighting, HVAC, power-operated doors and seats, and TPMS. Then the security control system with ADAS, ABS, etc., 22%, and the on-board electronics system for display and recreation.
Shares of PCB Value Taken by Various Systems in Automobile
Quantity of PCB Needed for Three Kinds of Vehicle
Compared with traditional counterparts, new-energy vehicles pose significantly higher requirements of PCB for its unique power system. This family has mainly two members: battery electric vehicle and hybrid electric vehicle. The former has its power system simply consists of electromotor and power battery. But for the latter, there are both engine and electromotor. Usually, the vehicle is driven by the engine that consumes fuel, and by the electromotor if the battery is adequacy charged.
In a battery electric vehicle, the power system driven by electricity would completely replace traditional ones. This leads to PCB increment for replacement attributed to the electronic control system (MCU, VCU and BMS). As for hybrid electric vehicle, with the traditional power system reserved, a new electric drive system is introduced, which creates PCB increment for superposition.
Traditional Vehicle and New Energy Vehicle Differ Mainly in Power Control System
Therefore, the increase in PCB value that new energy vehicle brings about can be divided into two parts. One, increment for superposition from hybrid electric vehicle; the other, increment for replacement from battery electric vehicle. From the perspective of value, increment for superposition from hybrid electric vehicle equals the increment for replacement from battery electric vehicle. One could think that the two makes the same contribution to the increase of automobile PCBs. Therefore, the two kinds of new energy vehicle will no longer be distinguished from each other for any following computations.
PCB increment, disregarding from hybrid electric vehicle or battery electric vehicle, comes from the three power control system: BMS, VCU and MCU.
VCU: Composed of control circuits and algorithm software, it is the control center of the power system. It works to supervise the vehicle and make decision for overall power control. PCB is a must to control circuits inside VCU, and the quantity needed is about 0.03 square meters.
MCU: Made up of control circuits and algorithm software, it is an important unit inside the electronic control system. MCU controls the electromotor following the instructions made by VCU, so that the motor exports alternating current accordingly. PCB used for control circuits totals 0.15 square meters.
BMS: A critical component in the battery unit, it controls discharge and recharge by collecting and computing voltage, current, temperature and SOC data, and thereby protects and manages the battery. Its hardware is composed of the BCU and BMU. BMU is set inside the module, and works to examine individual voltage, current and balance control. The BCU could be located optionally. It works for relay control, SOC estimation and electric protection. BMS is usually made of multilayer PCBs that are better in stability but higher in price than other boards. It works to supervise the data of voltage, current in individual batteries, realize balanced control and prevent battery from damage of service life or functions due to overvoltage or overcurrent. For its complicated structure, BMS requires a lot of PCB. About 0.24 square meters for the master control circuit, and 2 to 3 square meters for individual management unit.
As control units differ in requirements of PCB, the price of PCB varies. For example, BCU boards could cost RMB20,000 per square meters, and BMU boards RMB1,500 to 2,000 per square meter. In contrast, VCU and MCU require ordinary PCBs at about RMB1,000 per square meters with little added value. As the quantity of individual management units varies with the model of BMS, that of PCBs used differs with the model of vehicle, 3 to 5 square meters in average. Take the vehicle as a whole, a total of 5 to 8 square meters of PCB is needed, at a price of RMB2,000, much higher than that for traditional luxury sedans.
How PCB is Applied to the Power Control System inside New Energy Vehicles
Power Control System of New Energy Vehicles
In recent years, new-energy passenger vehicle saw its market grow rapidly across the world. According to statistics, there were only 147,000 new-energy passenger vehicles in 2013.
Then from 2014 to 2016, the sales volume in the global market soared respectively to 350,000, 550,000 and 770,000, with an annual composite growth rate as high as 48.3%. As the largest new energy vehicle market in the world, China expands its market size at a step larger than the world’s average. In 2015 and 2016, domestic output volume reached 379,000 and 517,000 new-energy vehicles. If factors such as policy targets, points system and sales planning, it is estimated conservatively that from 2017 to 2020, China is going to produce 700,000, 1 million, 1.2 million and 1.5 million new energy vehicles respectively. Accordingly, the market penetrating rate is going to rise to about 5%.
On this basis, in 2020, new energy vehicle is expected to bring about RMB3 billion increase to the domestic automobile market. According to the International Energy Association, the global total of sales volume of this kind in 2020 will reach 6 million vehicles. Therefore, the global automobile market is going to gain a RMB12 billion increase from new energy vehicles.
Increase to Automobile Market Brought by New Energy Vehicles
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Physics, perhaps the most ancient of all sciences, seeks to describe the behavior of the world and the interaction of matter, energy and space-time; therefore, its understanding is fundamental for the development of cutting-edge technology in the future. The research projects to be developed in the REPU Physics 2023 internships will be focused on high energy physics, astroparticle physics, and condensed matter physics. Applicants preferably should have a strong background in quantum mechanics and experience in simulation modeling using Python and C/C++.
For more information on previous projects developed during the internship, please refer to the Magazine.
Host Institutions in 2020
Applications for REPU Physics 2023 are closed. For more information go to the admissions section.
Mentor REPU Physics 2016


Ray tracing techniques have long been used in film, television, and visualization for rendering photo-realistic images for a long time but required powerful computers and time to render each image or frame. For film and television, it can take many hours or even days to render out high-quality image sequences, but the final result can create real-life 3D content that can blend seamlessly with real-life ones. For architectural visualization companies, ray tracing has meant creating beautiful renders for the automotive industry or showing what a densely-filled house or office complex could look like when complete all while achieving realistic-looking results.
With the power of Unreal Engine 4 (UE4) combined with Real-Time Ray Tracing (RTRT), it’s possible to create interactive experiences with subtle lighting effects comparable with many offline renderers. Real-time ray tracing makes things look more natural producing soft shadowing for area lights, accurate ambient occlusion, interactive global illumination, and more.
Ray Tracing in Unreal Engine
Ray tracing in UE4 is composed of two techniques:
A hybrid Ray Tracer that couples ray tracing capabilities with our existing raster effects.
A Path Tracer for generating reference renders.
The Ray Tracer enables raytraced results for shadows, ambient occlusion (AO), reflections, interactive global illumination, and translucency all in real-time. It does this by using a low number of samples couples with a denoising algorithm that is perceptually close to the ground truth results. For example, for shadows, this means they will soften based on distance from a receiving surface or light source size and have physically correct contact hardening.
The Path Tracer is an unbiased, physically based path tracer that is good for rendering reference images of your scene. It works similarly to offline renderers by gathering samples over time and, in its current state, is useful for generating ground truth renders of your scene rather than final pixels.
Arthur: GT Images


Modifying a JRC NRD-525 for DRM reception
C56 and C102 on the IF-AF Amp board of the NRD525 were moved to the solderside in order to make some space for the DRM-Interface.
Input to the DRM I/F is TP1.
The output is connected to pin 15 of motherboardconnector P28.
The 10.8 Volt DC is obtained from L3.
Click here to read more about it: downloads/JRC_NRD525_Low_Res.pdf
Output of the DRM I/F
The black (RG174) coax connects one of the Scope outputs (bottom right) to the output of the DRM I/F via pin 15.
This can only be done if the RTTY I/F is not fitted!
Extended filter switching
A new firmware (V1.4) in combination with some simple hardware modification results in bypassing the 455 kHz filters FL1 - FL4 resulting in a 455 kHz bandwidth of about 12 kHz necessary for the DRM I/F.
See for more details:
New backpanel connectors
The SO239 type bulkhead connectors for the VHF / UHF were replaced by N-type bulkheads.
The original RS-232 connector was replaced by an DB9 type.
Please read the full story on a bigger screen.


This UK company is taking the one laptop per child concept to a whole new new level. RasberryPi.org have developed a tiny Linux powered “PC” for only $25! Anyone interested in downsizing their PC footprint, or those who teach programming should be very interested in this development. The wearable PC comes closer to reality!
A: “The Raspberry Pi is a credit-card sized computer that plugs into your TV and a keyboard. It’s a capable little PC which can be used for many of the things that your desktop PC does, like spreadsheets, word-processing and games. It also plays high-definition video.”


You may have to update your HASP drivers if you have recently upgraded your Windows operating system.
To reinstall the HASP drivers, please follow these instructions:
- Download the HASP drivers from http://www.extyles.com/drivers/HASP_drivers_latest.zip.
- Make sure your HASP hardware key is attached to a USB port on your PC.
- Unzip the downloaded drivers from step 1.
- Inside the resulting folder Sentinel_HASP_Run-time_setup, double-click the file HASPUserSetup.exe.
- Reboot your PC. You should now see a red light glowing on the end of the hardware key.


Vorteile der Anmeldung:+ Schnellere Bestellabwicklung+ Einblick in aktuellen Bestellstatus+ Übersicht aller Bestellungen
Apogee quantum sensors measure photosynthetically active radiation. The MQ-100 has a sensor integrated into the top of the housing while the handheld meter displays and stores measurements. Photosynthetically active radiation (PAR), or photosynthetic photon flux (PPF), is the wavelength range from 400 to 700 nanometers and is strongly correlated with plant growth. Gardeners, greenhouse managers, growth chamber users and salt-water aquarists measure PAR to insure optimal specimen health.
SpecificationsCalibration Uncertainty: ± 5 %Measurement Repeatability: < 1 %Non-stability (Long-term Drift): < 2 % per yearNon-linearity: < 1 % (up to 3000 µmol m-2 s-1 )Response Time: < 1 msField of View: 180°Spectral Range: 410 nm to 655 nm (wavelengths where response is greater than 50 % of maximum)Directional (Cosine) Response: 0.06 ± 0.06 % per CTemperature Response: ± 5 % at 75° zenith angleOperating Environment: 0 to 50 C, < 90 % non-condensing relative humidity up to 30 C, < 70 % non-condensing relative humidity from 30 to 50 C, Separate sensors can be submerged in water up to depths of 30 mMeter Dimensions: 12.6 cm length, 7.0 cm width, 2.4 cm height
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Hello Guys ! Madhav Seth, Chief Executive Officer Of Realme India Said, We Will Be Launching New RealMe 2 Very Soon In India and It Will Be Loaded With Features That Weren't Made Available In RealMe 1.
RealMe 2 Leaks : Specifications and Price
You Know That RealMe 1 Is The Best Budget Smartphone Available Under 10k and Now, Realme Plans To dispatch Four Smartphones In The Next Seven Months In India. In this way, Realme Is Gearing To Launch Its Second Smartphone - Realme 2, In India Very Soon With More Features and The Improvements From Old RealMe 1.
These Are The Specifications Of New RealMe 2 According To The New Leaks.
Display :- 6.0″ (15.24 cm)
Storage:- 64 GB
Camera :- 13 MP + 5 MP ( Dual Camera, Delfie Flash )
Battery :- 3500 mAh
RAM :- 4 GB
OS :- Android 8.1 Oreo
Processor :- MediaTeck P60 Or Snapdragon 660
Short Discription of Oppo Realme 2:-
Oppo Realme 2 is supposed to be propelled in August 2018 and is relied upon to keep running on Android 8.1 OS. The Smartphone is relied upon to be made accessible in two shading alternatives i.e. Dark, Blue and will have a worked in unique mark sensor as the essential security include, alongside the host of network choices as far as 3G, 4G, GPS, Wifi Bluetooth abilities. The telephone will accompany 64 GB of inner storage.As far as the details are concerned, the Smartphone is tipped to be fueled by 1.8 GHz Octa center Qualcomm SDM450 Snapdragon 450 Processor. A 4 GB of RAM and Adreno 506 illustrations processor will enable telephone to run easily even the most memory serious applications without hinting at any slack. The inside capacity is relied upon to be expandable to 256 GB by means of a microSD card. The telephone most likely will accompany an intense 4230 mAh battery to help it's 6.2 inch screen with IPS LCD show having a goals of 720 x 1520 at 271 ppi. Oppo Realme 2 is estimated to flaunt double essential camera of 13 + 2 megapixel and 8 megapixel front Camera. It will bolster Face Detection and high unique range(HDR) imaging also.
New RealMe 2 Can Launch With Dual Camera With Delfie Flash. This Time, RealMe Can Put A Notch In RealMe 2 With Bigger Display Of The Smartphone. As You Know, RealMe 1 Don't Have Fingerprint Scanner, So, RealMe 2 Will Have Fingerprint Scanner With Fast Charging Support
RealMe 2 Price in India:-
As You Know, RealMe Is Now An Independent Brand From Oppo and Planning To Launch Affordable Smartphone In India. RealMe Planning To Launch Smartphone Available For Less Than Rs 20,000. RealMe 2 Will Give Tough Competition To Xioami A2 and Other Devices Under Rs.20,000. Thus, The Expected Price Of Smartphone Will Be Rs.14,990. As indicated by The RealMe, Realme 3, Realme 4 and Realme 5 Are In The Making and They Are Planning To Launch Smartphones Before March 2019.
Expected Price:- Rs. 14,990 ( Approx. Price Of RealMe 2 In India. )


Protecting nature in a renewable world
IdentiFlight Aerial Detection System
Avian collisions with turbine blades have been an issue within the wind energy industry and an impediment to growth. The IdentiFlight® Aerial Detection System was developed to address this problem and promote the successful coexistence of avian wildlife and wind energy. The IdentiFlight system blends artificial intelligence with the high-precision optical technology to detect eagles and protect them from collisions with rotating wind turbine blades.
Automatic detection and species determination occur within seconds for birds flying within a one kilometer hemisphere around an IdentiFlight tower. If an eagle’s speed and flight path indicate risk of collision, an alert is generated to shut down that specific wind turbine. By empowering wind farm operators with highly targeted, informed and objective curtailment decisions, unnecessary and costly interruptions are avoided and conservation of protected species is achieved. IdentiFlight is an affiliate of Boulder Imaging, machine vision experts.
How it works
IdentiFlight’s technology leadership is enabled by combining state-of-the-art image-sensor arrays (for hemispherical spatial detection), high-magnification stereoscopic sensors (for position, trajectory, and species identification), and high-performance artificial intelligence algorithms for fully autonomous real time image processing. All wind farm towers operate as one fully-networked, autonomous system with complete aerial coverage.
Proprietary software processes the images to determine 3D position, velocity, trajectory, and protected species of interest, all within less than five seconds of detection. By detecting a bird as far as one kilometer out and classifying it as an eagle (or not) in real time, the IdentiFlight system arms wind farm operators with critical visual and quantitative data needed to avoid eagle collisions.
field tested and proven
The IdentiFlight system is currently installed at U.S. and European wind farms with elevated avian activity. A third party audit report on IdentiFlight focused on the effectiveness and accuracy of IdentiFlight was recently completed by The Peregrine Fund and the American Wind Wildlife Institute and can be found in the scientific journal, Biological Conservation.
Additional collaboration with the National Renewable Energy Laboratory (NREL) has further increased industry exposure and aided in the dialogue on the successful co-existence of renewable energy and endangered species.


Layer3d e v e l o p m e n t
tech•nol•o•gy /tek-nol-uh-jee/ n. derived from the Greek tekhne, which means "craft" or "art", and logia, meaning "the study of". 1. The application of science, especially to industrial or commercial objectives.
Secure API design and development of RESTful service layers using a broad range of open source technologies.
Scalable Cloud Platform design and development leveraging Amazon Cloud Compute Infrastructure. Automated deployment systems using chef and docker.
Cross Platform and Cross Network system integration. From secure Healthcare platforms to large scale POS implementations.
Native iPhone and Android custom mobile application development.
Advanced Agile coaching and training to increase your Team's code quality, productivity and overall development methodolgy.
Rapid, advanced prototyping using next generation open source technologies for proof-of-concept, fund raising or startups.


The MXB350W is a compact and versatile B&W document solution that adds real value to any workplace.
Whether in a large or small office, it offers space-efficient productivity and with standard wireless LAN connectivity, brings office-wide convenience and the ability to join a network of A3/A4 MFDs.
The MXB350W delivers a fast output of 35 ppm*. The first copy comes out in 9.0 seconds, saving you valuable time when performing multiple short-run jobs.
Fast, powerful networking capability is provided via the 1000Base-T gigabit Ethernet standard.
The MXB350W offers ultra-handy wireless access via two easy modes (Infastructure & Access Point), enabling convenient access to the MFD even from places where it’s difficult to connect a LAN cable.
Direct Printing/Scanning with USB Drives
Insert a USB drive into the MFD and a command screen automatically pops up on the LCD. Right away you can print files from the USB drive or scan documents directly to the USB drive.
Two-Way Sharing with Mobile Devices
With Sharpdesk Mobile, users can import documents scanned on the MFD to their mobile devices for previewing and saving. And files on a mobile device can be printed out on the MFD, sent as e-mail attachments, or used in other applications.
User authentication prevents unauthorised use of the MXB350W. Up to 30 users can register a unique access number. Retained user data can also be erased when it’s time to replace the MFD, to prevent confidential information from leaking.
|User Interface||5 Line LCD Display|
|Product Environment||Small Office/Workgroup|
|Original Paper Size||Max A4|
|Printed Paper Size||Tray1: A4-A6, Tray2-4: A4-A5, Bypass: A4-A6|
|Standard Paper Capacity||550 (500-sheets x 1 + 50-sheet multi bypass)|
|Maximum Paper Capacity||1,150 sheets (500-sheets x 1 + 50-sheet Multi bypass + 600-sheets x 1)|
|Paper Weight||Tray 1: 60-105gsm, Tray 2: 55-220gsm, Bypass Tray: 55-220gsm|
|Output Capacity||250-sheets centre tray|
|Warm-up Time||29 sec or less (Power Button)|
|Resolution (Equivalent)||600 x 600 dpi (Copy/Printer)|
|Memory||1 GB (Copy/Print shared)|
|Duplex||Std. (60 – 105 g/m2)|
|Dimension (WDH)||492 x 517 x 560 mm|
|Print Speed||35 ppm (A4)|


The Magnotta Lab is currently focusing on the development of quantitative magnetic resonance imaging techniques that are sensitive to brain metabolism. Currently we are focusing on T1rho, CEST, and MR spectroscopic based techniques. Using these techniques coupled with other quantitative imaging markers (e.g. T1 and T2 relaxation measures) we are exploring metabolic changes associated with several psychiatric (schizophrenia, bipolar disorder) and neurological disorders (Huntington’s disease, Alzheimer’s disease). In addition, we are exploring how metabolism changes with symptoms and disease progression. Future work will accelerate these imaging measures allowing them to assess functional changes in the brain.


Massachusetts Institute of Technology
Bayesian Models of Human Learning and Inference
1:02 – 3:00pm Monday, December 04, 2006
Bayesian methods have revolutionized major areas of artificial intelligence, machine learning, natural language processing and computer vision. Recently Bayesian approaches have also begun to take hold in cognitive science, as a principled framework for explaining how humans might learn, reason, perceive and communicate about their world. This tutorial will sketch some of the challenges and prospects for Bayesian models in cognitive science, and also draw some lessons for bringing probabilistic approaches to artificial intelligence closer to human-level abilities. The focus will be on learning and reasoning tasks where people routinely make successful generalizations from very sparse evidence. These tasks include word learning and semantic interpretation, inference about unobserved properties of objects and relations between objects, reasoning about the goals of other agents, and causal learning and inference. These inferences can be modeled as Bayesian computations operating over constrained representations of world structure – what cognitive scientists have called “intuitive theories” or “schemas”. For each task, we will consider how the appropriate knowledge representations are structured, how these representations guide Bayesian learning and reasoning, and how these representations could themselves be learned via Bayesian methods. Models will be evaluated both in terms of how well they capture quantitative or qualitative patterns of human behavior, and their ability to solve analogous real-world problems of learning and inference. The models we discuss will draw on – and hopefully, offer new insights for – several directions in contemporary machine learning, including semi-supervised learning, modeling relational data, structure learning in graphical models, hierarchical Bayesian modeling, and Bayesian nonparametrics.
Josh Tenenbaum is an Associate Professor of Computational Cognitive Science at MIT in the Department of Brain and Cognitive Sciences and the Computer Science and Artificial Intelligence Laboratory (CSAIL). He received his PhD from MIT in 1999, and was an Assistant Professor at Stanford University from 1999 to 2002. He studies learning and inference in humans and machines, with the twin goals of understanding human intelligence in computational terms and bringing computers closer to human capacities. He focuses on problems of inductive generalization from limited data -- learning concepts and word meanings, inferring causal relations or goals -- and learning abstract knowledge that supports these inductive leaps in the form of probabilistic generative models or 'intuitive theories'. He has also developed several novel machine learning methods inspired by human learning and perception, most notably Isomap, an approach to unsupervised learning of nonlinear manifolds in high-dimensional data. He has been Associate Editor for the journal Cognitive Science, has been active on program committees for the CogSci and NIPS conferences, and has co-organized a number of workshops, tutorials and summer schools in human and machine learning. Several of his papers have received outstanding paper awards or best student paper awards at the IEEE Computer Vision and Pattern Recognition (CVPR), NIPS, and Cognitive Science conferences. He is the recipient of the New Investigator Award from the Society for Mathematical Psychology (2005), the Early Investigator Award from the Society of Experimental Psychologists (2007), and the Distinguished Scientific Award for Early Career Contribution to Psychology (in the area of cognition and human learning) from the American Psychological Association (2008).


Portable Power & Lighting
First Out Rescue Equipment carries Generator/Light combination units built by Tele-Lite. These units are the best of both worlds, with portable lighting and power in one compact unit. They can provide up to 1500 watts of Quartz Halogen lighting as well as simultaneous AC & DC power.
Air Sytems International Portable Lighting Systems have been designed to provide high power lighting for indoor and the most adverse outdoor conditions. The Mini-Cube and Air-Light both feature a compact and highly portable design. These units come fully assembled for use and deploy rapidly in under 30 seconds without the need for component assembly.
The Robopack from Aircraft Dynamics is the answer to all your DC power needs in one simple and convenient package. Robopacks are able to power any DC powered device, from cordless saws and laptop computers to cell phones and much more. Tool adapters are available for most popular cordless tool manufacturers such as DeWalt, Hilti, Makita and Milwaukee.


- Genius battery chargers are fully-interactive and designed for safety. Many of the features include: auto-memory, the charger returns to the last selected mode when restarted; HF/HE switch mode design is high-frequency and high-efficiency for a light-weight, compact charger; rapid-charging technology charges batteries two-times faster than traditional linear battery chargers; multiple battery chemistry safely charges WE, GEL, MF and AGM batteries; variable input compensation gives 100% full charge even with varying A/C input voltages; extendable connectors have plug-n-play connections for easy accessory changes; and abnormality protection automatically shuts off if the charger remains in bulk charge mode for an extended period of time.
Shipping weight: 0.41 lbs
Shipping size (L x W x H): 6.00 x 4.00 x 4.00 inches
Type: Battery Charger Accessories
UPC Code: 046221100570
Made in CH
Sold as: EA
Fitment information not available for this item


PROTECT THE WHOLE FAMILY FROM HARMFUL ELECTROMAGNETIC RADIATION. Life time piece! Pair with Selenite Charger plate for cell phone protector.
The harmful radiation comes from data-transmitting electronics, such as cell phones, cordless phones, wireless earpieces, wireless headsets, computers, laptops, monitors, smart TVs, baby monitors, Wi-Fi routers, and more.
Some studies have indicated the following are caused by Radiation:
- Behavioral disorders
- Delayed fine and gross motor skills
- Spatial working memory
- Attention in small and adolescent children
- Female and Male fertility
- DNA damage
- Tumor of the salivary glands
- Brain Damage
*Can be used while pregnant and nursing


Computer Repair Training Course
MODULE C1: COMPUTER BASIC HARDWARE (for freshers)
1 Basics Of Electronics (AC,dc, volt ampear, multemeter used, measurement)
2 Fundamentals Of Computer( Defination,generation, classification, anatomy, input, output )
3 Computer Assemble & Parts Identify (smps, cabinet, board, storage, cpu , board )
4 Smps ( types, pindetail, 12v, 5v, 3.3v pson, pgood, standby )
5 Motherboard & Cpu (types, block diagram, chip identify, north, south , io, lan, vga, agp etc )
6 Hard Disk & Cd/Dvd (SATA, PATA, size type, internal parts, spindle, motor , head ,vcm )
7 Monitor /Lcd /Led ( working idea of lcd, basic problems of lcd, moniter )
8 Ram : ( types of RAM , DDR1, DDR2, DDR3 , DDR4 , different volt )
9 Printer Basic Ideas: ( Types , DMP, LASER, INKJET, ALLINONE , changing cartrage )
10 Types Of Cards (agp, graphics, lan, vga , usb )
11 Basic Operating System: (types, single , multi user, booting process, bios setting, )
12 Installing Os & Drivers( format , windows installation, driver installation )
13 Windows Operating Systems (basic used, device manager, control panel, dos cmd, config )
14 Virus, Antivirus, Internet, Settings (antivirus software, internet connection, use of internet)
15 Troubleshooting Of Computers ( msconfig, repair, NTLR missing, file missing )
16 Basic Networking Concept: (types of network ,cabling, cripting, ip address, subnetting,
sharting files, printer )
MODULE E1: BASIC ELECTRONICS ANALOG, DIGITAL, PRACTICE
1. AC, DC, Electronics, (Electrical, Current, Voltage, Watt, Ampere, Types Of Circuit, Measure.)
2. Types of Material, Working Detail of Circuit, Different Components.
3. Resistor: Types, Uses, SMD, Measure, Value.
4. Capacitor: Work, Types, Ceramic, Electrolyte, Tentalium
5. Induction / Coil: Work, Types, Check.
6. Transformer: Work, Types, Step Up, Step Down, SMD, Checks.
7. Diode: Semiconductor, N Type, P Type, Work, Types, Testing.
8. Transistor: Work, Types, NPN, PNP, Testing Method, Uses.
9. FET, MOSFET: Work, Types, NPN, PNP, Testing, Single Channel, Dual Channel, Testing, Uses.
10. Other Components: Fuse, Crystal, RTC.
11. Digital Electronics, Types of Number Systems, Conversion.
12. Types Of Logic Gate: AND, OR NOT NOR, NAND, Flip Flop, Exclusive.
13. Study of Different Chip Datasheet with Different Gates and Working Idea of Different Chips.
14. Soldering, Removing, Cold Testing, Warm Testing, Procedure of Components.
15. Project on Electronics, practical Idea of Using Different Components. Resistor, Capacitor,
Diode Transistor, MOSET, Fuse, Coil, Led, Switch etc.
16. Soldering and Desoldering Practice
MODULE C2 : SMPS, LCD, LED REPAIRING CONCEPT
1. SMPS repairing
2. Lcd , inverter repairing concept
3. Hard disk basic troubleshooting
4. Ram basic service
5. Dvd rom Basic service
MODULE C3 : COMPUTER DEKSTOP BOARD REPAIRING TRAINING CONCEPT
MODULE 3.1 : WORKING FUNCTION OF DIFFERENT CHIP AND MAIN SIGNAL
1. Basic computer & Block diagrams of computer motherboards, frame structure
2. Basic working detail of computer motherboards, power on signals
3. SMPS basic working and different volt , pson, pgood, sus, 12v, 5v, 3.3v vrm
4. MOSFETS & coil used, switching and linear output
5. Testing & understand vrm section offline and online with multimeter & cro
6. Understand Power on sequence of computer motherboard (K8V-MX)
7. Clock generator chip, Clock crystal, different frequency , voltage x1, x2,
8. Types of CPU socket and CPU, main signals of CPU( vid, vcccore, shdn, vron)
a. VRM section detail with different phase for CPU
9. Northbridge working concept, main signals, different power
a. RAM , Types, main signals , linear output , voltage,
b. VGA display connector
c. AGP slot
d. Graphic chip
10. South bridge working concept, main signals, different power
a. Hard disk, CD ROM connection, important signals
b. fdd connector
c. USB connector
d. sata connector
e. pci slot
f. bios chip ,main pins detail , identify, cmos battery
g. RTC, clock crystal,
h. PCI / ISA details pin out, important signals detail
11. LAN and audio chip, main signals, connection with socket
12. I/O controller working concept, main signals, different power
a. Com port
b. Ps2 connection
c. Printer port connection
d. Cpu temperature
e. Power controller , on/off , vrmon, etc
f. fan controller
13. PCI express /mini pci AGP slot, Testing signals on pci agp slots
MODULE 3.2: MOTHERBOARD FAULT FINDING
14. Common fault chart and solution steps of computer motherboard
15. Repairing steps of motherboard identify problems
16. Debug card details, use of Debug card ,common error code
17. Testing with multimeter, CRO different signals of motherboard
* pson, power good, 12v, 5v, 3.3v, 2.5v 1.5v 1.8v, 5vsus, reset signals, vid signals, rtc
crystal, cmos battery, clock crystal, address, data buses, bios chip,
18. Slot tester and use details, cpu, ram, pci, agp
19. Reset signals detail , testing reset signals
20. Bios update
MODULE 3.3: BGA REPAIRING AND REBALLING
21. Washing, Cleaning, drying, Dry solder problem solution of motherboard
22. Introduction to BGA machines, used, temperature setting,
23. ICs rebelling, BGA ball arrangement, practice., Using BGA machine
24. Removing and inserting different chips practice (video & step)
25. Removing & replacing sockets , CPU , RAM, PS2, COM ETC
26. DEMO FOR OTHER PRODUCTS AVAILABLE


The hours required to charge Nissan’s latest electric vehicle, the Leaf, shouldn’t be a problem, said Hideaki Watanabe, the head of the company’s zero-emission business unit.
The Japanese car maker is betting that its first mass-produced electric car will take the lead in the zero-emission car market. It takes eight hours to charge the five-seater hatchback model from a regular home outlet, Mr. Watanabe said at a recent Leaf test-drive event in Yokosuka, Kanagawa, south of Tokyo.
The electric car, which will debut in the U.S., Japan and Europe in December, can run up to 160 kilometers (100 miles) on a single charge.
While the charge time certainly takes longer than gassing up a traditional car, powering the Leaf takes much less effort. “Some people say that it takes only 15 minutes or so to go to a gas station, while you need eight hours to charge (the Leaf). But my thinking is different,” Mr. Watanabe said. “It’s true that it takes eight hours to charge. But it takes just 15 to 30 seconds to plug it in. Once you do it, you can (leave the car and) do whatever you like to do at home.”
If a driver starts re-charging the Leaf at night, “the vehicle gets fully charged by next morning,” he said.
Quick chargers will also be available. This equipment, which will be installed at some Nissan dealers, gives the battery an 80% charge in 30 minutes, Mr. Watanabe said.
What’s more, while the car is being recharged, the car can be pre-air-conditioned so that drivers feel comfortable when they get in the car, he said. This feature won’t shorten the drive range because the car is plugged in while the air conditioner is on, Mr. Watanabe said. The ventilation system can even be controlled from outside the garage with a mobile phone, he added.
By Yoshio Takahashi
Wall Street Journal
June 16, 2010


Prof. Dr. Jeroen Kooman: AI-based applications in the treatment of patients on dialysis
Created on 12/05/2023 12:00
Watch Prof. Kooman’s outlook on AI in dialysis here at the online Nephrology Campus
The future is almost here! Artificial Intelligence (AI) is soon going to help physicians make decisions by answering questions like: How likely is this aneurysm in an AV fistula going to rupture? Which patient will benefit from a pre-emptive intervention? What is the risk of hospitalization many months down the road? Prof. Jeroen Kooman reviews both the great potential of machine learning in dialysis care and also the limitations: Is AI really superior to conventional methods of generating information and decision making?
Watch Prof. Kooman’s talk here at the online Nephrology Campus as an open access lecture or learn more about it here!


The Xiaomi Redmi Note 10 Pro is a new smartphone from the company, which comes with a 108MP main camera, a 120Hz AMOLED display, and fast charging. It is priced at just $299, and the company has promised that it will be available in stores by early 2019. Here are some features that you should know about the redmi note 10 pro new phone. These include:-
The 6.7-inch display on the Redmi Note 10 Pro delivers a good balance of performance and battery life. The screen itself measures 6.7-inches from corner to corner, with an extra millimeter of black bezel surrounding the display. This gives it a thin chin and forehead, while the centered punch-hole cutout on the front-face is great for selfies. Overall, the camera is impressive for a budget phone.
The camera module on the Redmi Note 10 Pro is one of the most noticeable aspects of the phone. Its camera is placed in a black frame and contains two elements stacked on top of each other. These elements can be felt when the phone is in the pocket, and they take away from the phone’s minimalist look. Nonetheless, if you want to take good selfies, the camera on the Redmi Note 10 Pro will do the job.
Xiaomi’s Redmi Note 10 Pro was a global review unit. It came running Android 11 and MIUI 12. Redmi has since updated the phone to run MIUI 12. The review unit was sourced from Redmi, which has made the text a little more accurate and inclusive of other Note 10 competitors. If you’re looking for a cheap smartphone, the Redmi Note 10 Pro is one to consider.
The Redmi Note 10 Pro is currently unavailable for sale in the United States, but it’s available in other parts of the world. It’s one of the cheapest smartphones on the market, and the cheapest version costs PS249 in the U.K. For those looking for a larger phone, the OnePlus Nord N10 5G is now available. You can buy a Redmi Note 10 Pro at Techinn’s online electronics store. You can get a great deal when you use a coupon code or promo.
Another important feature of the Xiaomi Redmi Note 10 Pro is its camera. It is equipped with a quad camera setup, consisting of a 64-megapixel primary camera and two 2-megapixel cameras. All four cameras feature autofocus. The Redmi Note 10 Pro comes with a 16MP front camera, and is powered by a large 5020mAh battery. The phone can hold up to a full charge in about an hour.
The Xiaomi Redmi Note 10 Pro Max is a great phone for both traditional handset users and smartphone users. The device features Qualcomm’s Snapdragon 678 chip, which is used in many top-of-the-range phones. It costs Rs 33,999 in Nepal, but the 8GB/128GB version is available for Rs 36,999. The company has also acknowledged the display issue and will fix it soon. It’s a fantastic smartphone, and is a bargain for the price.


Use this page to find or browse library databases. To search multiple databases simultaneously, please use Summon.
- ACM Digital Library
- Articles from technical journals, trade magazines, and conference proceedings in computer science and related disciplines from the Association for Computing Machinery. Subscription now includes ACM EBOOKS which is a new series of high quality books for the computer science community, published by ACM in collaboration with Morgan & Claypool Publishers.
- Artech House ebooks
- A collection of over 600 practical engineering books published by Artech House in subjects including: antennas, aerospace, radar, photonics, microfluidics, remote sensing and more.
- Provides current reports on computing, information technology and telecommunications issues, trends, news and statistics. Access is provided by ITS.
- IEEE Xplore
- Full text of IEEE and IEE journals, magazines, transactions and conference proceedings as well as active IEEE standards. Ebook packages include over 1200 IEEE/Wiley Press titles and over 950 MIT Press titles in computer science and engineering technologies.
- O’Reilly for Higher Education
- O'Reilly for Higher Education provides unlimited access to over 45K titles (including O'Reilly books in early release), 30K hours of video, case studies from top companies, learning paths, expert playlists, and more -- with nearly 1K topics to explore in technology and business. Additional information may be located at: https://proquest.libguides.com/oreilly Publisher restrictions prohibit the licensing of O’Reilly for Higher Education titles as replacements for classroom textbook adoption. See your college librarian with any questions.
- ScienceDirect contains over 25% of the world's science, technology and medicine full text and bibliographic information.
- SPIE Digital Library
- Conference proceedings, technical papers, books and journals on optics and photonics from the International Society for Optical Engineering. Includes the SPIE eBook Collection.
- Full-text database of journals and books published by Springer, covering the sciences, technology, computer science and medicine


Cloud computing has revolutionized the way businesses operate, offering a range of opportunities to leverage technology, streamline operations, and drive innovation. From startups to large enterprises, organizations across various industries are embracing cloud computing to unlock new possibilities and achieve scalability. In this article, we explore some of the key opportunities that cloud computing presents.
Cloud computing provides cost-saving opportunities by eliminating the need for on-premises infrastructure, maintenance, and hardware upgrades. With the pay-as-you-go model, organizations can scale their resources up or down based on demand, optimizing costs and avoiding unnecessary expenditures. Cloud services also reduce the burden of managing and maintaining complex IT infrastructure, allowing businesses to focus on their core competencies.
Flexibility and Scalability
Cloud computing enables organizations to quickly scale their operations in response to changing business needs. Whether it’s increasing server capacity, expanding storage capabilities, or accommodating sudden spikes in user traffic, the cloud offers unparalleled flexibility. Businesses can easily adjust their resources to match demand, ensuring optimal performance and user experience.
Enhanced Collaboration and Remote Work
Cloud-based collaboration tools and platforms facilitate seamless communication and collaboration among teams, regardless of their physical location. Cloud computing enables real-time document sharing, version control, and remote access to files, enabling teams to work together efficiently and boost productivity. This becomes particularly valuable in today’s remote work environment, where distributed teams need to collaborate seamlessly.
Cloud computing provides the infrastructure and computational power necessary to process and analyze vast amounts of data. Organizations can leverage cloud-based analytics platforms and tools to gain valuable insights, uncover patterns, and make data-driven decisions. Cloud-based data storage and processing also enable businesses to harness the power of artificial intelligence and machine learning for predictive analytics and automation.
Disaster Recovery and Business Continuity
Cloud computing offers robust disaster recovery and backup solutions. By storing data and applications in the cloud, organizations can ensure that their critical information remains safe and accessible even in the event of a disaster. Cloud-based backups and replication mechanisms provide added protection and enable swift recovery, minimizing downtime and ensuring business continuity.
Innovation and Agility
Cloud computing empowers organizations to experiment and innovate by providing a platform for rapid prototyping and development. With cloud-based services and environments, businesses can quickly launch new products or services, test ideas, and iterate based on feedback. This agility accelerates time-to-market and fosters a culture of innovation within organizations.
Cloud computing offers a multitude of opportunities for businesses to transform their operations, enhance efficiency, and drive innovation. From cost savings and scalability to improved collaboration and advanced analytics, the cloud provides a flexible and powerful platform to propel organizations forward. Embracing cloud computing allows businesses to stay competitive in a rapidly evolving digital landscape and capitalize on the numerous benefits it offers.


Technology has made our lives crisp and brisk, qualitatively enhanced it in various ways and computers, as we are all aware, are the most visible benefits of technology. They can improve any aspect of life substantially. Our computer department thus has a huge contribution in the modern studies of our students, faculty members and academic staff. In addition to the computing resourcefulness offered by computers in today’s times, Computers also connect us globally. Computers open the doors to vast virtual space full of extensive information on almost every subject. Hence, our computer department is equipped with computers with latest configuration and internet connection with excellent speed, both being operated using the latest software. We have four laboratories that come under the umbrella of our computer department, and these contain a total of 100 workstations that are networked.


National Aeronautics and Space Administration
Most people associate the National Aeronautics and Space Administration (NASA) with space exploration, but it turns out the agency develops innovate technologies in other areas, including biofuel development. Who knew?
On Sunday, February 21, 60 Minutes did a segment on Bloom Energy and the company’s Bloom Box. This coming-out-party may prove huge for the green revolution but only time will tell.
Long before "sustainable" and "green" became commonly heard, James Strock was an expert and enforcer in the practices.
The idea that we can collect solar power with satellites in space and beam the energy back to earth to be used as electricity is actually not as far fetched as you might think. The theory, and it still remains very much in that realm, is based on two proven technologies.


We develop medical chatbots for doctors and healthcare professionals.
Apollo AI Technologies gives doctors and healthcare professionals the opportunity to easily access large volumes of correlated data. Apollo AI chatbots incorporate traditional analytics with the latest data collection techniques using AI algorithms.
In 2022, we launched Diabeta, the first conversational AI interface, addressed to diabetologists
Diabeta is approved by ANMDM - National Agency for Medicines and Medical Devices in Romania.
Diabeta was developed for diabetologists, but is now used by doctors in other specialties.
A multidisciplinary team from the medical field, artificial intelligence (natural language processing) and communication worked on developing the chatbot.
We are a team of Romanian specialists in programming, computational linguistics, and marketing.
We use our own data mining tools and our chatbots are based on artificial intelligence.
We develop intuitive chatbots for healthcare proffesionals to better access medical information.
Now we are busy developing chatbots for various pathologies with a high impact on health.


3 W (35 W)
State-of-the-art LED light
Functional light with maximum energy savings
Perform better in your daily indoor activities in the most environmentally-friendly way.
Econic LED lamps provide instant functional lighting while saving energy due to their
state-of-the art LED technology.
• Save energy from the moment you turn the switch
Easy to recycle
• Safe for any room and convenient to recycle
Unique peace of mind
• Immediately up to 90% less energy
• Our LED technology makes the lamp last at least 15,000 hours
Beacon of trust
• You can trust what the Philips packaging is saying
Direct light when turning the button
• Instant start
3 W (35 W) GU10 White
Technical specifications • Fitting/Cap: GU10 Energy efficient
• EEL: N/A • Voltage: 230–240 V All Philips energy savers save energy from the
• Shape: Reflector • Dimmable: No moment you turn the switch. During their lifetime
• Light effect: White • Lifetime of lamps: 15 year(s) they use fewer kW and thus also result in a lower
• Wattage: 3 W • Lifetime of lamps: 15,000 hour(s) energy bill. The level of energy saving differs per lamp
• Wattage standard bulb: 35 W type and technology.
Immediate light when switched on: that is the
promise of our instant starting energy-saving lamps.
Maximum energy saving
When you switch to a Philips LED lamp, you
immediately use up to 90% less energy without
sacrificing light output and quality.
On average we have our lamps switched on for 2.7
hrs per day and 1000 hrs a year. The actual burning
hours depend on the season (winter vs. summer),
the weather conditions (sunny vs. dark, rainy day)
and the room where the lamp is used (bathroom vs.
living room). This LED lamp will last at least 15,000
hrs, thus 15 years.
No hazardous substances
LED lamps contain absolutely no hazardous
materials, making them safe for any room and
convenient to recycle.
Philips keeps its promises about lamp performance.
You can trust what the Philips packaging is saying
about light output, lifetime and wattage equivalent to
Issue date 2010-11-30 © 2010 Koninklijke Philips Electronics N.V.
All Rights reserved.
Version: 3.0.1 Specifications are subject to change without notice.
Trademarks are the property of Koninklijke Philips
Electronics N.V. or their respective owners.
12 NC: 8670 000 58137
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3 edition of The High Energy Solar Physics Mission found in the catalog.
The High Energy Solar Physics Mission
by National Aeronautics and Space Administration, For sale by the National Technical Information Service in [Washington, DC], [Springfield, Va
Written in English
|Statement||prepared by the HESP Science Study Group.|
|Series||NASA-TM -- 105033., NASA technical memorandum -- 105033.|
|Contributions||United States. National Aeronautics and Space Administration.|
|The Physical Object|
The Physics of the Cosmos (PCOS) program incorporates cosmology, high-energy astrophysics, and fundamental physics projects aimed at addressing directly central questions about the nature of complex astrophysical phenomena such as black holes, neutron stars, dark energy, and gravitational waves. 8. H) Solar and Stellar Variability Marianne Faurobert 9. I) High-Energy Solar Physics Hugh Hudson and Alexander MacKinnon J) Space Weather at Earth and in Our Solar System Noé Lugaz K) Solar-Stellar Connection Gibor Basri L) Instrumentation Observations of the Sun from Space Alan Title High-Resolution Ground-Based.
Solar physics is the branch of astrophysics that specializes in the study of the deals with detailed measurements that are possible only for our closest star. It intersects with many disciplines of pure physics, astrophysics, and computer science, including fluid dynamics, plasma physics including magnetohydrodynamics, seismology, particle physics, atomic physics, nuclear physics. Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI, originally High Energy Solar Spectroscopic Imager or HESSI) was a NASA solar flare observatory. It was the sixth mission in the Small Explorer program, selected in October and launched on 5 February Its primary mission was to explore the physics of particle acceleration and energy release in solar flares.
Main mission objective was to verify performance of Spacelab systems and determine interface capability of orbiter, and measure environment induced by spacecraft. Experiments covered life sciences, plasma physics, astronomy, high-energy astrophysics, solar physics, atmospheric physics and technology research. Its mission is to develop new ways to capture and store energy of the sun in the high-energy chemical bonds of carbon-based solar fuels. A DOE Energy Frontier Research Center, EFRC, established at UNC in , provided foundational research on renewable energy and leveraged North Carolina’s role as a national leader in solar energy production.
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Summary This chapter contains sections titled: Introduction Scientific Objectives Observational Approach and Expected Performance Hesp Strawman Instruments Hesp Mission Hesp on Lightsats The Ground Cited by: 3. The NASA High Energy Solar Physics (HESP) mission offers the opportunity for major breakthroughs in our understanding of the fundamental energy release and particle acceleration processes at the core of the solar flare by: 3.
The NASA High Energy Solar Physics (HESP) mission offers the opportunity for major breakthroughs in our understanding of the fundamental energy release and particle acceleration processes at the core of the solar flare : B.
Dennis, A. Emslie, R. Canfield, G. Doschek, R. Lin, R. Ramaty. The NASA High Energy Solar Physics (HESP) mission offers the opportunity for major breakthroughs in our understanding of the fundamental energy release and particle acceleration processes at the core of the solar flare : B.
Dennis, A. Emslie, R. Canfield, G. Doschek, R. Lin, R. Ramaty. NASA's major solar flare project for the next solar maximum around the turn of the century is the High Energy Solar Physics Mission (HESP). The prime objective of HESP is to study the flare energy release, particle acceleration, and transport processes through high-resolution spatially-resolved spectroscopy of X-rays and by: 1.
The NASA High Energy Solar Physics (HESP) mission offers the opportunity for major breakthroughs in our understanding of the fundamental energy release and particle acceleration processes at the core of the solar flare problem.
1 Introduction to Solar Physics Sami K. Solanki IMPRS lectures January Structure of lectures I Introduction and overview Core and interior: energy generation and standard solar model Solar radiation and spectrum Solar spectrum Radiative transfer Formation of absorption and emission lines Convection: The convection zone and granulation etc.
Topical Issue: The Reuven Ramaty High-Energy Solar Spectroscopic Imager (RHESSI) - Mission Description and Early Results Volume September - October Octoberissue 2.
The Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) satellite was launched on 5 February Its objective is to study the energy release and particle acceleration in solar flares through observations of X-rays and gamma rays.
Two novel technologies are combined to obtain both spectra and images over a broad energy range. The mission was renamed from HESSI to RHESSI after launch to honor Dr Reuven Ramaty, a distinguished theoretical high-energy astrophysicist and solar physicist working at Goddard Space Flight Center (GSFC).
Dr Ramaty developed much of the theoretical framework for solar gamma-ray line spectroscopy, and he. All aspects of solar physics are reported on.
Coverage ranges from the internal structure of the Sun and its evolution to the outer corona and solar wind in interplanetary space. Solar Physics publishes papers on solar-terrestrial physics and on stellar research as well, where they contribute directly to our understanding of the Sun.
Buy The Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) - Mission Description and Early Results on FREE SHIPPING on qualified orders The Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) - Mission Description and Early Results: Lin, R.P., Dennis, B.R., Benz, Arnold O.: : Books.
The YOHKOH mission for high-energy solar physics - NASA/ADS Data on solar flare mechanisms and the sun's corona will be generated by Japan's Yohkoh satellite's X-ray imaging sensors and X-ray and gamma-ray spectrometers.
The Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) is a NASA Small Explorer Mission, launched on February 5, RHESSI's primary mission is to explore the basic physics of particle acceleration and explosive energy release in solar flares. This is achieved through imaging spectroscopy in X-rays and gamma-rays with fine angular and energy resolution to reveal the.
The data base consisting of flares detected by the gamma-ray spectrometer (GRS) on board the Solar Maximum Mission (SMM) satellite is used to study the directivity of high-energy radiation. A number of observations are presented that, strongly indicate that the high-energy emission from flares is anisotropic.
They are the following: (1) the fraction of events detected at energies above keV. 1. Science. Oct 23;() The yohkoh mission for high-energy solar physics. Acton L, Bruner M, Lemen J, Tsuneta S, Ogawara Y, Nishimura J, Bentley R. Buy The Reuven Ramaty High-Energy Solar Spectroscopic Imager (RHESSI) - Mission Description and Early Results on FREE SHIPPING on qualified orders The Reuven Ramaty High-Energy Solar Spectroscopic Imager (RHESSI) - Mission Description and Early Results: Lin, Robert P., Dennis, Brian R., Benz, Arnold O.: : Books.
Solar energy offers a ubiquitous, inexhaustible, clean, and highly efficient way of meeting the energy needs of the twenty-first century. This book is designed to give the reader a solid footing in the general and basic physics of solar energy, which will be the basis of research and development in new solar engineering technologies in the.
The Japanese Yohkoh satellite is now in orbit observing the sun with a set of x-ray imagers and x-ray and gamma-ray spectrometers. The data from this successful mission provide new information on solar flares and the sun's corona.
This paper discusses the Yohkoh observations and presents a sample of. High-Energy Aspects of Solar Flares th Edition by A. Gordon Emslie (Editor), This volume is aimed at graduate students and researchers in solar physics and space science. He is a co-investigator on the NASA Ramaty High Energy Solar Spectroscopic Imager (RHESSI) mission and has published over scholarly articles in refereed.
An outgrowth of a workshop held by the Community of European Solar Radio Astronomers (CESRA), this volume collects reviews on current research and perspectives on the variable solar corona: high-energy particles, large-scale disturbances such as mass ejections and waves, and radio diagnostics of the coronal plasma.The Sun provides Earth with a staggering amount of energy—enough to power the great oceanic and atmospheric currents, the cycle of evaporation and condensation that brings fresh water inland and drives river flow, and the typhoons, hurricanes, and tornadoes that so easily destroy the natural and built landscape.
The San Francisco earthquake ofwith magnitudereleased an estimated.Get this from a library! The High Energy Solar Physics Mission: scientific objectives and technical description. [HESP Science Study Group.; United States. .


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Bluetooth technology is constantly evolving. Initially, it was pegged as a basic wireless communication standard. Nevertheless, it has continuously improved and has proven to be versatile with its different uses and functions. For instance, Bluetooth for mobiles phones enables an end-user to connect his or her hands-free, wireless Bluetooth headset and use it without difficulty; thus, a person can use his or her mobile phone to receive calls without actually picking up the phone or fishing it out of a purse. Of course, Bluetooth connectivity is also handy for file sharing. It allows the sharing of files from one mobile phone to another, from a mobile phone to a computer, or from a digital camera to a computer. Obviously, this makes file sharing such a breeze.
This was something impossible several years ago. Before, fixed type lines and cables were primarily used to connect a couple of gadgets to each other. Now, though, data between two different devices is seamlessly possible with Bluetooth. At the get-go, it was mentioned that a Bluetooth headset might be used to make life so much easier for mobile phone users. In the fast-paced world we live in, this knowledge is a godsend. The best Bluetooth headset is vital for people who are constantly on the go. Surely, those who are always hurrying and rely heavily on their mobile phones for fast communication would find a Bluetooth headset very useful.
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More often than not, manufacturers of Bluetooth headsets use two styles. One has a loop that users can hook around the ear. The other style needs to be jammed into the ear just like an earphone. Obviously, the former is more comfortable than the latter. However, the one with the loop may be the less secure style. If you were planning to buy a Bluetooth headset for yourself, it would be a good idea to consider four key factors. These are:
Just as it is with anything, you always need to consider the cost of whatever it is you’re buying. Of course, you also need to check if the design of the headset allows you to put it on and off your ear quickly and conveniently. You also need to check the control buttons on the headset to see if these are easy to use. Ask yourself if you could comfortably wear the headset you’re checking out for long calls and if you can wear it on either ear. You also need to consider the weight of the headset.
It would be a good idea if you read Bluetooth headset reviews to see if a particular model of headset has commands and controls that are easy to remember. It’s important to check if the volume levels can be easily adjusted and if the whole unit turns on quickly. Most importantly, you need to find out about the battery, standby battery life, and talk time of the headset. It’s vital to check for compatibility, because you don’t want to buy a headset that you won’t be able to utilize. Finally, check the sound quality of the headset as far as sending and receiving go. Apparently, the overall look of the Bluetooth headset is another determining factor. As long as all the above-mentioned considerations are met by the headset you’re eyeing, then you’re good to go.
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CodeMeter can be seamlessly integrated in any production line. The secure elements have been designed to withstand high fluctuations in temperature, humidity, and vibration. The software platform supports all mainstream operating systems, including Windows, Linux, and macOS for PCs, Embedded Linux and Windows Embedded for embedded systems, Linux RT, VxWorks, and QNX for RTOS, CODESYS and B&R for PLCs. The special CodeMeter µEmbedded variant was made specifically for microcontrollers and FPGAs.
Whether it is about securing machines against tampering or digital assets against piracy or businesses themselves embracing new software capabilities, cryptography is the backbone of any IIoT protection mechanism. Encryption depends on two major factors: The choice of algorithm and its implementa...| » Further reading
CodeMeter, the leading secure license management technology, offers unique for protecting, licensing, and securing the digital assets and product know-how of intelligent device manufacturers. It supports several CPU platforms (e.g. X86, PPC, or ARM) and even very small applications running on bar...| » Further reading
Software licensing is a vital aspect of any IIoT business model. CodeMeter License Central creates, deploys, and manages the complete and secure license lifecycle process. It can be connected with ERP, CRM, and ecommerce platforms for streamlined workflows and operated at the OEM’s facilities or ...| » Further reading
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5. Drilling - the process of drilling all of the holes for plated through applications; a second drilling process is employed for holes which are not become plated through. Informative data on hole location and dimensions are included in the drill file that is drawing.
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