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Farm machinery fuel consumption
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Hello. This is not my line of research. Thank you for contacting us.
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Hi,
I am working on the fabrication of thermoelectric nanogenerators (TENG). I am wondering how device construction of TENGs will influence the power factor and open-circuit voltage? What is the main difference of uni-leg (p or n-type) or bi-leg (p and n-type) TENGs in terms of their out performance?
Thank you for your participation to answer this question.
Best regards,
A. Sattar
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Dear Abdul Sattar ,
The construction and design of thermoelectric nanogenerators (TENGs) can significantly influence their performance, including the power factor and open-circuit voltage. The main differences between uni-leg (p-type or n-type) and bi-leg (both p-type and n-type) TENGs lie in their working principles and the materials used for each leg.
Uni-leg TENGs:
  1. Working Principle:Uni-leg TENGs typically consist of only one type of thermoelectric material (either p-type or n-type). These devices generate power based on the Seebeck effect, where a temperature gradient across the material induces a voltage.
  2. Power Factor and Open-Circuit Voltage:The power factor is influenced by the Seebeck coefficient and the electrical conductivity of the thermoelectric material. The open-circuit voltage depends on the temperature difference across the material.
Bi-leg TENGs:
  1. Working Principle: Bi-leg TENGs utilize both p-type and n-type thermoelectric materials. They often operate based on the Seebeck effect as well, but the combination of materials can enhance the overall performance.
  2. Power Factor and Open-Circuit Voltage: The power factor benefits from the synergistic effects of having both types of thermoelectric materials, potentially leading to improved overall performance. The open-circuit voltage can be influenced by the temperature gradient across both legs.
Key Differences:
  1. Enhanced Performance: Bi-leg TENGs have the potential for enhanced power generation due to the complementary properties of p-type and n-type materials. The use of both types allows for better utilization of the temperature difference and improved power factor.
  2. Complexity and Cost: Bi-leg TENGs are generally more complex to construct than uni-leg TENGs due to the integration of two different types of materials. However, the potential increase in performance may justify the added complexity.
  3. Optimization: The choice between uni-leg and bi-leg TENGs depends on factors such as the specific application, available materials, and the desired level of power generation.
In summary, while uni-leg TENGs are simpler in design, bi-leg TENGs have the potential for higher performance by leveraging the complementary properties of both p-type and n-type thermoelectric materials. The choice between them depends on the specific requirements and constraints of your application. Experimental testing and optimization may be necessary to determine the most effective design for your thermoelectric nanogenerator.
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What is an electric device which converts electric energy into light energy and how do photovoltaic cells convert sunlight directly into a flow of electrons?
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Dr Murtadha Shukur thank you for your contribution to the discussion
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Ferromagnetic materials in the nanoscale are of tremendous attraction because of their unusual properties as compared to that of bulk materials and their applications in science and technology.Hexaferrites become very important materials commercially as well as technically because of their applications as permanent magnets, data storage devices, magnetic recording media, etc.Strontium hexaferrites are widely used in microwave devices operated at high frequencies due to their high coercivity, high permittivity and large value of magnetic anisotropy.A series of M-type lanthanum substituted strontium cobalt hexaferrites, Sr0.5Co0.5LaxFe12-xO19 (x = 0.0, 0.05, 0.15 and 0.2) was synthesized using the simple heat treatment method. The synthesized hexagonal ferrites were calcinated at 950 °C and 1050 °C for 3 hrs in a muffle furnace and then slowly cooled to room temperature.
#science research #divalent #hexagonal #hexaferrites #strontium cobalt
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Interesting
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If we have a quantitative research confirming effect of one independent variable on one dependent variable in the presence of a moderating and a mediating variable and the construct of the scale/instrument/questionaire is correlates in such a way that all items are highly corelated to measure the same regressional relationship can we analyse cronbach alpha of all items together or do we have to do it seperately...? What makes more sense, suggestions are welcomed.
Regards
Sidra
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You should calculate one Cronbach's alpha for each of your separate scales.
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If not same which device is used for sludge sample collection?
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not same. A grab bucket sampler is generally used for sampling sludge.
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I need some feedback about my masters thesis.
I need to compare two different mandibular movement tracking devices
Should i try both devices on the same group of healthy patients?
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Dear Baris Unlu ,
One of the most advanced and reliable products in this field is the zebris JMA optic. In this article, we will explore the features, benefits, and applications of the zebris JMA Optic, and discuss how it can be used to maximize the potential of digital dentistry.
Regards,
Shafagat
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1. Malware execution and analysis on IOT and GPU-based processer devices?
in that IOT and GPU both have different processors in that case how same or different kind of malware will impacts, how to do forensics investigation to club both the technologies ?
2.Malware execution and analysis on IOT and GPU-based processer devices?
in that IOT and GPU both have different processors in that case how same or different kind of malware will impacts in bid data environment
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The aim of this question is to define global features to tend to make analysis partially comparable between any type of processor. In my opinion, it is possible to do this by focusing on programing language and program structure (AST, Graph Analysis...). However, that's could lead to decrease in case of your goal is to produce categorization by any means (ML, DL...). I focus my work on program architecture especially on central node detection. It is hard to produce a malware detection system with good accuracy, but it is too interesting.
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What analyzes can we do to characterize and know the different composition of a seed oil?
which devices can be used?
Thank you
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AS SEMENTES QUE FAZEM BEM AO SER HUMANOS PRECISAM SER TRITURADAS, PRIMEIRO, PARA SOLTAR SEUS ÓLEOS ESSENCIAIS, SOMENTE MASTIGADAS PELA BOCA, NÃO NECESSARIAMENTE, LIBERARÃO TAIS ÓLEOS. NO BRAZIL A LINHAÇA É UM EXEMPLO DE BONDADE DA NATUREZA PARA O COLESTEROL, É BOA, COMO FARINHA TRITURADA, PARA PEOLONGAR A LONGEVIDADE, É BOA CONTRA A VELHICE. PROF. ANDRÉ, BRAZIL
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Hi, I would like to mark the tip location of a NeurNexus probe. I know a good way to easily find the electrode location is to anesthetize the animal, perform an electrolytic lesion, wait a few days for a scar to form, then perfuse the animal and locate the scar. I found this (https://www.researchgate.net/post/How_can_I_mark_the_point_at_which_I_am_recording_in_the_brain_to_see_where_I_was_recording_from) ResearchGate question thread which in turn pointed to several articles suggesting a protocol in which a DC current of approximately 20 to 30 microamps is delivered for approximately 20 to 30 seconds to the site. However, it is not clear to me what device is needed to deliver such small currents: for instance the standard DC current generator in my lab goes down to 0.1 milliamp. An internet search also didn't provide any clear hits for micro-amp range current generators. So my question is: what device do people use for this application?
Moreover, I have also seen others suggesting using substantially higher currents. So, perhaps a somewhat higher current (such as that provided by my counter-top current generator) would also work OK for this task?
Thanks for any insights!
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For posterity: I recently learned from some colleagues that the unit people seem to use for this is the World Precision Instrument A365 Battery-driven Stimulus Isolator - this is currently going for around $1700. If anyone knows of a cheaper option (this seems like overkill to me for what in theory should be a fairly straightforward circuit) please do let me know.
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Dear researchers and engineers,
I am trying to implement a recommendation from a journal paper, however, I have faced a problem that I could not yet find a solution for it.
To elaborate more, I want to excite an electrical circuit and measure its response. Then I should calculate the DFT of both excitation and response signals. Eventually I should calculate the frequency response function between excitation and response.
The paper says that to prevent the discrepancies caused by DAC which is not an ideal device, it is recommended to do a calibration between the excitation signal generated by software, and the excitation signal that reaches to the circuit. The author says that he has done this calibration for NI USB 6211. To achieve this it is mentioned that”
"Before any measurement and after all the parameters have been defined, the DAC output and the ADC input are internally connected in the DAQ device, and the excitation signal is sampled and stored once to replace the excitation signal generated by the software."
My problem is that I don't know how to implement the idea that I put in the quotation.
My daq device is NI USB X 6356.
I would be thankful if you help me with this problem?
Thank you,
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I guess you circuit has some input and ouput ( let's say they are BNC coax connectors). Since the frequncies are not very high (not in RF/microwave range) just replace it with BNC to BNC adapter (jumper).
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In the past I have used the Reflotron® to measure blood CKMM levels in response to eccentrically-biased exercise. With the phase-out of the Reflotron and being told that the current CK strips will expire in September 2021 I am searching for another POC device that we could use to replace our Reflotron®.
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We have/had similar problems, the best alternative I found is Simplex TAS™ 101, works with small amounts of blood (no pre-treatment necessary, right out of the finger tip), and for individual parameters (not a whole set). Have it for a few weeks now, works like a charm.
Till
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The previous column was C8 column. Now I am using Chiral AMY1 column. The same HPLC device. The same lamp and wavelength.
I read before that changing flow rate affects peak area. Are there any other factors that affect the area significantly?
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No its should not change significantly like 2-3 fold.
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adapt ERES Cognition TEST to Computer Relativism where Cognition is equal to Sentience (Previously Described) times the Universe (itself = 1) times Gravity (the weight of the Universe = Matter) times About (Energy It$elf = Rational Delinquency) times Real (A function of Reality = Literal Figurative Subjective) ... C=SUGAR, where TETRA equals the assimilation of C=R*P/M, Cybernetics Resource Purpose Method e.g. Detection re: the whole is great with all it's parts ie. Relative Futurism
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To adapt the ERES Cognition TEST to Computer Relativism, we can substitute the following definitions for each of the components:
  • Cognition = Sentience * Universe * Gravity * About * Real
  • Sentience = The ability to experience feelings and sensations.
  • Universe = The totality of everything that exists, including space, time, matter, and energy.
  • Gravity = The force of attraction between two objects with mass.
  • About = The energy of information and communication.
  • Real = A function of reality that is both literal and figurative, subjective and objective.
This gives us the following adapted ERES Cognition TEST:
ERES Cognition TEST = Sentience * Universe * Gravity * About * Real
We can also substitute the definition of TETRA from Computer Relativism into the ERES Cognition TEST, giving us the following:
ERES Cognition TEST = (Cybernetics Resource Purpose Method) * Universe * Gravity * About * Real
This adapted ERES Cognition TEST can be used to measure the cognitive ability of computer systems and artificial intelligence systems. It takes into account the system's ability to process information, its understanding of the universe, its ability to interact with its environment, and its ability to communicate and learn.
Here is an example of how the adapted ERES Cognition TEST could be used to evaluate a computer system:
  1. Cybernetics Resource Purpose Method (CRPM): The CRPM component of the test would measure the system's ability to efficiently and effectively use its resources to achieve its goals. This could be done by evaluating the system's performance on a variety of tasks, such as solving problems, making decisions, and controlling devices.
  2. Universe: The universe component of the test would measure the system's understanding of the universe. This could be done by evaluating the system's knowledge of physics, chemistry, biology, and other natural sciences.
  3. Gravity: The gravity component of the test would measure the system's ability to interact with its environment. This could be done by evaluating the system's ability to control devices, move objects, and perceive its surroundings.
  4. About: The about component of the test would measure the system's ability to communicate and learn. This could be done by evaluating the system's ability to generate and understand language, and to learn from its experiences.
  5. Real: The real component of the test would measure the system's ability to function in the real world. This could be done by evaluating the system's ability to interact with humans and other systems, and to adapt to changing conditions.
The overall score on the adapted ERES Cognition TEST would be a measure of the system's overall cognitive ability. A higher score would indicate a more intelligent system.
It is important to note that the adapted ERES Cognition TEST is still under development, and it has not yet been validated on a large scale. However, it has the potential to be a useful tool for evaluating the cognitive ability of computer systems and artificial intelligence systems.
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offer a brief answer to the question, "why does the Turing Test need revisioning"?
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The Turing Test needs revisioning because it has a number of limitations, including:
  • It is anthropocentric, meaning that it assumes that human intelligence is the only form of intelligence.
  • It is difficult to define what it means for a machine to "think" or "be intelligent."
  • It is possible to design a machine that can pass the Turing test without actually being intelligent. For example, a machine could be programmed to simply memorize a large database of human conversations and then regurgitate them in response to the evaluator's questions.
In addition, the Turing Test does not take into account the following factors:
  • The ability of a machine to learn and adapt.
  • The ability of a machine to understand and reason about the world.
  • The ability of a machine to be creative and innovative.
A revised Turing Test would need to address these limitations in order to be a more accurate measure of machine intelligence.
Here are some specific suggestions for how the Turing Test could be revised:
  • Use a wider range of evaluators, including people from different cultures and backgrounds.
  • Ask the evaluators to judge the machine on its ability to learn, adapt, reason, and be creative.
  • Give the machine more time to respond to the evaluator's questions.
  • Allow the machine to access the internet and other resources.
A revised Turing Test would be a more challenging test for machines to pass, but it would also be a more accurate measure of machine intelligence.
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define what granular "threads = strings" to the ERES Cognition Test enable Scientists to monitor Computer Perception and Intelligence
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Granular threads and strings in the ERES Cognition Test can be used to enable scientists to monitor computer perception and intelligence in a more detailed way.
Granular threads represent the individual steps that a computer takes to process information and generate a response. For example, a granular thread for a computer vision task might include steps such as:
  • Load the image
  • Preprocess the image
  • Extract features from the image
  • Classify the image
Strings represent the data that is passed between different granular threads. For example, the output of the preprocessing step might be a string containing the extracted features from the image.
By monitoring granular threads and strings, scientists can gain a better understanding of how computers perceive and understand the world. This information can be used to improve the design and development of artificial intelligence systems.
Here are some specific examples of how granular threads and strings can be used to monitor computer perception and intelligence:
  • Identifying objects: By monitoring the granular threads and strings involved in object recognition, scientists can identify the specific features that computers use to identify different objects. This information can be used to develop more robust and accurate object recognition systems.
  • Understanding natural language: By monitoring the granular threads and strings involved in natural language processing, scientists can identify the specific steps that computers take to understand and generate human language. This information can be used to develop more sophisticated and engaging natural language interfaces.
  • Making decisions: By monitoring the granular threads and strings involved in decision-making, scientists can identify the factors that computers consider when making decisions. This information can be used to develop more transparent and accountable AI systems.
Overall, granular threads and strings are a powerful tool that can be used to monitor and understand computer perception and intelligence. By monitoring granular threads and strings, scientists can gain a deeper understanding of how computers work and how they can be improved.
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explain how granular threads and strings are scored and how this applies to personal, public, private ratings (literal, figurative and subjective) ~ pls
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Granular threads and strings are scored based on a variety of factors, including:
  • Relevance: How relevant is the thread or string to the topic at hand?
  • Accuracy: How accurate is the information in the thread or string?
  • Completeness: Does the thread or string provide a complete and comprehensive overview of the topic?
  • Neutrality: Is the thread or string neutral and objective?
  • Helpfulness: Is the thread or string helpful and informative?
The scoring system for granular threads and strings can be applied to personal, public, and private ratings in a number of ways. For example, a personal rating might reflect how relevant, accurate, complete, neutral, and helpful a thread or string is to the individual user. A public rating might reflect the average rating of a thread or string from all users. A private rating might reflect the rating of a thread or string from a specific group of users.
Here are some examples of how the scoring system for granular threads and strings can be applied to literal, figurative, and subjective ratings:
Literal rating: A literal rating might be used to score the accuracy of a thread or string that provides factual information. For example, a thread or string that accurately describes the steps involved in baking a cake might receive a high rating for accuracy.
Figurative rating: A figurative rating might be used to score the creativity or originality of a thread or string. For example, a thread or string that uses a clever metaphor to explain a complex concept might receive a high rating for creativity.
Subjective rating: A subjective rating might be used to score the overall quality of a thread or string based on the user's personal opinion. For example, a user might give a high rating to a thread or string that they find particularly helpful or informative, even if it is not factually accurate or creative.
The scoring system for granular threads and strings can be a useful tool for evaluating the quality of information online. It can also be used to develop more accurate and personalized recommendations for users.
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Dear Doctor
Go To
Turing Test Revisited: A Framework for an Alternative
Aladdin Ayesh, (2013)
"Alan Turing was one of the first provocateurs of the possibility that machines can be truly intelligent (Turing, 1948), (Turing, 1950), can think (Turing, 1952) and can exhibit human characteristics. In his various writings, he advocated that machines could be as intelligent as a human including the abilities of creativity and emotions. As a result, he outlined a test, which became known as the Turing Test that can be applied to prove if a machine can exhibit true intelligence. The Turing Test has a solid stand in the Artificial Intelligence research community as the ultimate test for intelligent machines. That solid stand may be the result of historical reasons. Alan Turing visionary paper and predictions make the Turing Test at the heart of any discussion on machine intelligence. Perhaps because there is no machine that can pass the test without cheating, to be controversial. One may argue that a full intelligent machine cannot pass the test but a well programmed machine within a time limit can fool a human examiner and pass the testOs mechanism but not in its spirit. The declared ˜ aim of the Turing Test is to test intelligence unhindered by prejudice and thus to provide a benchmark by which we can tell a machine is intelligent.
Intelligence typology indicates strongly toward different type of intelligence but also at different levels of intelligence. That discussion also led to the importance of integrated intelligence hence the different types of intelligence are often present together in different portions to create the mixture that is the intelligent creature or agent to be examined. As a result, relying on a listing of factors or performance metrics may not be sufficient to test different types of 11 intelligence in its different forms and mixtures. In conclusion, a new framework based on generic categorization of types and factors of intelligence was presented. This proposed framework could enable the instantiation of different tests that are suitable for different systems. "
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I was trying to reproduce the results of the paper "2-D drift-diffusion simulation of organic electrochemical transistors" with the OEDES python package. The available package on GitHub, however, only simulates 1-D devices. Does anyone know how to implement OEDES for 2-D devices?
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Marcos Luginieski Simulating 2-D devices using the OEDES (Organic Electronic Device Simulator) Python package can be a useful extension of its capabilities. While the package may primarily focus on 1-D devices, you can potentially modify it to handle 2-D simulations by making several adjustments to the codebase. Here are the general steps you can follow:
1. Understand the Paper: First, ensure a thorough understanding of the paper "2-D drift-diffusion simulation of organic electrochemical transistors" to grasp the specific requirements and equations involved in simulating 2-D devices.
2. Review OEDES Code: Carefully examine the OEDES package's existing codebase to understand how it implements 1-D simulations. Identify the key components and equations used in the drift-diffusion model.
3. Extend the Code: To adapt OEDES for 2-D simulations, you'll need to extend the code to handle additional dimensions. This typically involves modifying the equations and data structures to accommodate 2-D grids for spatial variations.
4. Implement Boundary Conditions: Ensure that your code accounts for appropriate boundary conditions in the 2-D domain. This is crucial for accurate simulations.
5. Test and Validate: Once you've made the necessary code modifications, thoroughly test the 2-D simulation capabilities. Compare your results with the paper you're trying to reproduce and validate that the simulator produces consistent outcomes.
6. Optimize Performance: 2-D simulations can be computationally intensive. Consider optimizing your code for efficiency, as larger grids may lead to longer simulation times.
7. Documentation: Don't forget to update the package's documentation to reflect the new 2-D simulation capabilities. This will help others who may want to use your modified OEDES package.
8. Community Involvement: Reach out to the OEDES community on GitHub or other relevant forums. Inform them about your work on extending the package for 2-D simulations. Collaboration with other researchers and developers can lead to valuable insights and improvements.
Keep in mind that modifying an existing codebase for 2-D simulations can be a complex task, and it may require a strong understanding of numerical methods, computational physics, and programming. Additionally, it's essential to respect the original package's licensing terms and give proper credit to the authors if you plan to distribute your modified version.
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Electrophysiological device for neurosurgical procedures
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Before proceeding any further, it is imperative to establish the precise purpose of the neurophysiological monitoring device. This will enable us to clearly delineate its scope and intended application. For example, are we focusing on monitoring brain activity (EEG), muscle activity (EMG), or perhaps another specific physiological aspect?
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Hello,
I am trying to set up my own website which will allow users to log in and open 2 seperate doors on my property. I have already made a website with the log in form and there is a system installed in de doorlatch that will open it when it recieves power. Now the thing I need is a device that can take commands from my website (Through wifi or something like that), that when ordered will send around 24v of power to the doorlatch. I have tried to find things only and also looked at things like arduino, but nothing would seem to work with my own website. Any help/info would be greatly appreciated.
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Why can't you google and use one of the ready made smart home solutions?
If your door has a lock with a code, you could just post the code on the website? Such a lock runs on batteries, i think? And some code locks are like the ones on bicycle locks, they require no electricity. And the code can be altered. Some airbnbs use a small box with a code lock, in which a normal key is placed. Whan you order, the code for the key box is emailed to or sent by sms, or posted in an automated airbnb message.
If the door is triggered by power, the same remote device that let's you turn on a light, could be placed between the lock and the power supply. Just like with a lamp. The fact that what you wish to open is a door is not important. Since you have chosen this solution, I assume that we are talking about some sort of gate for a car door or an entrance?
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Let's consider a scenario where an IMU device can be attached to any point around the waist. In this case, the direction of motion, like walking, may not necessarily align with the x-axis of the device. How can the angle between the device's x-axis and the direction of motion be calculated?
Sensor fusion methods are used to find the angle between the device's orientation and the magnetic pole. However, what I'm looking for is to determine the angle between the device and the direction of motion.
Thank you
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You may combine the three measured accelerations from the IMU into the acceleration vector as a time sequence. This vector, after subtracting the gravitational acceleration, is the one that represents the motion and you may also calculate the three angles between such vector and its three constituents.
If your goal is to know the position and speed of the person as time sequences, then you need to implement a strapdown navigation algorithm and your IMU must have 3 accelerometers and 3 gyroscopes. The navigation algorithm will provide the integrated speed and position vectors of the point on which the IMU is mounted for each time instant, when it is executed. However, the inertial navigation algorithm comprises the integration of the gyros' output and the double integrations of the accelerometers' output with all errors included, leading to exponential accumulation of such errors (Dead-Reckoning Navigation). Correcting for these errors needs sensor fusion with other absolute position and/or speed measurements, such as GPS readings or other references with known coordinates.
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What is difference in LORAWAN class A , B , C devices and what is spreading factor relation with time to air??
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LoRaWAN Class A possesses bi-directional communication capability and is power efficient. It only initiates uplink communication and this makes it suitable for event-driven applications like alarms, sensors, etc.
LoRaWAN Class B devices can open extra receive windows at scheduled intervals and these devices are also able to synchronize with a network beacon to better coordinate downlink communication.
LoRaWAN Class C devices are open to receive but at the expense of higher power consumption.
Since TOA is critical in LoRaWAN because it depends on power efficiency, network capacity and regulatory compliance. So, the spreading factor is a trade-off that needs to be carefully considered based on the specific requirements of a LoRaWAN deployment.
TOA = preamble time + payload time
Both preamble time and payload time are dependent on the spreading factor, among other things. As the spreading factor increases, these times increase, leading to a higher TOA.
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What novel implantable devices or technologies hold promise for real-time monitoring and intervention in arrhythmia patients?
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I would direct your question to CHAT GTP.
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which "study", from comsol, to use to calculate the transmission spectrum of 2D photonic crystal device? And how to configure it? Basically the device is a crystaline network of silicon rods immersed in air with defects that form 4 channels. I used Domain wavelength, but my results weren't very good.
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My suggestion is to use the Lumerical Software...Can try 30 days trials..Tqs
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How to fabricate complex heterostructure-based devices using shadow mask method?
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A shadow mask is used for defining the areas of a device and creating microstructures on it with precision by masking or covering part of the target surface. Shadow masks, also known as stencils or deposition masks, are used in a wide range of different vacuum-chamber evaporation and sputtering processes to fabricate both simple and complex semiconductor, micro-engineered electronic components and variety of products in the consumer and life science world. Compared to photolithography, masking method has advantages of lower cost and simpler process, although it may not achieve the same level of precision as electron beam lithography (EBL). However, one easily overlooked advantage of masking method is its ability to be heated, which is particularly important in cases where substrate heating is required.
Let's take an example of fabricating complex devices using masking method with a crossbar array of memristors based on vertical heterojunctions.
Firstly, let's refer to a paper published in Advanced Materials. In this paper, each intersection point of the crossbar array consists of a 4-layer vertical heterojunction structure: bottom electrode Pd-Ta2O5-TaOx-top electrode Pd. If we were to use masking method to fabricate such a device array, what would be our approach?
Figure 1:Pd-Ta2O5-TaOx-Pd heterojunction-based memristor crossbar array.
Step 1:Shadow mask design. Here we need at least four shadow masks: Shadow mask #1 for the deposition of bottom electrode, shadow mask #2 for the deposition of Ta2O5, shadow mask #3 for TaOx, and shadow mask #4 for top electrode. As shown in Figure 2, we should make sure that when these four shadow masks are overlapped or positioned at the same place, they form the memristor crossbar arrays.
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Figure 2: Shadow masks for fabrication of memristor crossbar arrays.
Step 2:Device fabrication. After the completion of shadow masks design and processing, we can start fabricating devices, as shown in Figure 3.
1) Deposition of bottom electrode through shadow mask #1
2) Deposition of Ta2O5 through shadow mask #2
3) Deposition of TaOx through shadow mask #3
4) Deposition of top electrode through shadow mask #4
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Figure 3:Fabrication of memristor crossbar arrays by shadow mask technique.
The process of fabricating devices using the mask method may seem simple, but in reality, there are many factors that need to be considered. These factors not only determine the success or failure of device fabrication, but also determine the minimum size of the devices. These factors include:
1. Mask Alignment Error or Positioning Error: Taking the preparation of memristors as an example, in the fabrication process illustrated in Figure 3, it is crucial that the mask used in each step of the process is aligned as accurately as possible to the same position. Only then can each material deposited ultimately form the vertical heterostructure array we require. The error in the deviation of the mask from the predetermined position is one of the key factors determining the minimum device size. Currently, the error in commercial mask alignment devices is around ±5 μm. However, a significant drawback is that they often cannot be used at high temperatures and have a large volume, making them unsuitable for most vacuum systems.
2. Mask Feature Size: The feature size refers to the minimum processing size of gaps, circles, square holes, etc. Generally, this is determined by the mask plate processing equipment and processes, such as laser power and spot size. The feature size of the mask plate is also one of the important factors determining the minimum device size. Currently, advanced femtosecond laser cutting can achieve feature sizes below 1 μm.
3. Mask Processing Error: The processing of the mask plate, such as laser processing or etching, may have positioning errors, especially in XY positioning errors and repeated positioning errors of laser cutting devices. This results in a discrepancy between the actual size of the processed mask plate and the design size. Currently, the mainstream fiber laser devices on the market have an error of ±15 μm, while femtosecond laser devices can achieve errors as low as ±1 μm.
4. Spacing Between Mask Plate and Substrate – Shadow and Diffusion Effects: Due to the presence of a certain gap between the mask plate and the substrate, during the process of material deposition through the pores, shadow and diffusion effects can lead to the actual size of the prepared structure being slightly larger than the design size. Generally, the smaller the distance between the mask plate and the substrate, the weaker the shadow and diffusion effects, and vice versa.
Therefore, when using the mask method to fabricate complex microelectronic devices, especially those involving multilayer heterostructures, attention should be paid to the following aspects: 1. Reduce mask alignment errors or positioning errors; 2. Reduce mask pattern feature sizes; 3. Minimize mask processing errors; 4. Reduce shadow and diffusion effects.
Currently, a widely used method is to create an opening on a stainless steel plate, weld the mask plate on one side of the opening, and form a groove on the other side where the substrate is mounted, as shown in Figure 4a. This setup can only accommodate single-step processes and cannot be used for multi-step material deposition or the fabrication of complex devices, such as the memristor crossbar array mentioned earlier. Here, we recommend a new product – the shadow mask support and alignment device (Model X-S04, Jiangsu Ximai Technology Co., Ltd., http://www.ximai-tech.com), as shown in Figure 4b. This device consists of a sample holder, an elastic substrate housing, a mask support frame, and a mask alignment tool. The substrate is mounted in the substrate housing, the mask plate is installed on the mask support frame, and the mask alignment tool ensures precise alignment of the mask plate at the same position.
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Figure 4:(a) Mainstream mask panel support device. (b) Model X-S04: The shadow mask support and alignment device that combines mask support and alignment.
This device has the following advantages:
Zero alignment error/positioning error: The unique alignment and locking device of the mask ensures that after replacing different mask plates, the mask plate is precisely positioned in the same location, completely eliminating alignment errors or positioning errors caused by the inability to position different mask plates in the same location.
Elastic substrate holding device: The built-in substrate holding device with tiny springs can provide appropriate elasticity to secure the substrate. Its compression rebound design is compatible with substrates of different thicknesses, ensuring good thermal conductivity while fixing the substrate, avoiding errors caused by substrate slippage, and preventing problems such as substrate fragmentation or deformation of mask alignment devices that may occur when using rigid substrate holding devices.
Minimization of shadowing and diffusion effects:The distance between the mask plate and the substrate is reduced to as small as 50 μm, resulting in a tested size broadening due to shadowing effects of less than 2 μm.
Plug-and-play design for mask plates: Replacing the mask plate is simple and convenient. It can be easily positioned by a simple "insert-lock" mechanism, and can be quickly removed by "unlock-pull out". This allows for rapid replacement of different mask plates required for various process steps.
High-temperature resistance: The key components are made of high-temperature resistant aerospace materials, capable of withstanding temperatures up to 550 ℃. They are particularly suitable for processes requiring high temperatures in thin film growth and device fabrication, such as MBE, PLD, ALD, sputtering, and thermal evaporation, etc.
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I have measured voltage of one port RF device which was 53 vpp and return loss was -6.3 dB at frequency 7.3 MHz. Now I want to convert voltage into power in watt. So I think I should first get the impedance of circuit from the return loss value (considering characteristic CPW input impedance 50 omh) and then use normal power formula to get the power value in watt. Am I correct? If someone can help me, this would be really great.
Thanks
Shilpi
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thanks so much! Elmira, this is what I did it. just wanted to make 100% sure.
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I am looking for lumerical script code for generation of such large data set for deep learning of Photonics devices.
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I think it might be difficult to get a very large dataset using a full-wave simulator such as Lumerical FDTD because it takes too much time. What kind of dataset do you need? If you need the full spectrum, definitely go with FDTD; if you just need the response for a few discrete frequencies, there are many faster solvers you can use, for example, RCWA.
Here is the script I found online before, and it should be able to extract the phase and amplitude from Lumerical FDTD if you already have the s parameters calculated
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Please suggest me, which device used measure the carrier minority, majority and recombination lifetime in wide band gap semiconductors? Thank you in advance.
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Dear Dr. Kh. N. Juraev,
You may want to review information presented below:
The measurement of carrier lifetime in wide bandgap semiconductors typically involves specialized equipment and techniques. Carrier lifetime refers to the average time a charge carrier (electron or hole) exists in a semiconductor material before recombining with an opposite carrier. This parameter is crucial for understanding the charge transport and recombination processes in the material. Here are some common equipment and techniques used for carrier lifetime measurements in wide bandgap semiconductors:
  1. Time-Resolved Photoluminescence (TRPL) Setup: TRPL involves exciting the semiconductor material with a short pulse of light (usually a laser) and then measuring the time-dependent decay of photoluminescence (light emitted by recombining carriers). This technique provides information about the carrier lifetime by analyzing the decay profile. TRPL setups include lasers, optical systems for excitation and detection, and time-resolved detectors.
  2. Microwave Photoconductance Decay (μ-PCD) Setup: μ-PCD measures the time-dependent change in conductivity of a semiconductor material following photoexcitation. A microwave signal is used to probe the conductivity changes caused by the photoexcited carriers. By analyzing the decay of the microwave signal, the carrier lifetime can be determined. This setup includes microwave sources, antennas, and measurement electronics.
  3. Transient Photoconductivity Setup: Similar to μ-PCD, transient photoconductivity measurements involve monitoring changes in conductivity after photoexcitation. This setup typically uses a light source, electrical contacts, and measurement electronics to analyze the transient behavior of photoexcited carriers.
  4. Pulsed Photoconductance Setup: In this setup, a pulsed light source is used to excite the semiconductor material, and the resulting transient changes in photocurrent or conductivity are measured. The time-dependent behavior of the photocurrent provides information about carrier lifetimes.
  5. Surface Photovoltage Setup: Surface photovoltage measurements involve shining light on the semiconductor's surface and measuring the resulting voltage changes. These changes are related to the movement of charge carriers near the surface and can provide information about carrier lifetime.
  6. Time-Resolved Electron Beam Induced Current (TR-EBIC) Setup: TR-EBIC combines electron beam scanning with time-resolved measurements to probe carrier transport and lifetime. It's particularly useful for studying carrier lifetime variations across a sample.
  7. Laser Reflectance Setup: This technique measures changes in the reflectance of a semiconductor surface following photoexcitation. The time-dependent changes provide insights into carrier lifetime and surface recombination.
It's important to note that the specific equipment and techniques used can vary based on the desired accuracy, measurement speed, sample properties, and available resources. Researchers often choose the technique that best suits their research goals and the properties of the wide bandgap semiconductor under investigation. Additionally, these techniques might require specialized sample preparation, such as creating suitable contacts and optimizing the sample's surface conditions.
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I use molecular devices setup to patch acute brain slices, and I face this problem of "overloaded"sign that appears on the amplifier, and even when I try to autocomponsate the pipette it shifts to current mode and when I press on voltage mode , it appears again this sign as showed in the picture.
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the problem was from the reference electrode, thanks for your help.
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More specifically in the fields of sensory devices, multi-modal systems, HAR etc.
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Journal of Supercomputing
AdHoc Networks
Wireless Networks
IEEE Sensors Journal
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What is an embedded system on an IoT device and primary hardware components of an embedded system?
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Embedded systems are standalone devices that have usually been designed to do one specific thing. An IoT embedded system is an embedded system that also has connectivity to the internet and can therefore communicate with other IoT embedded systems. Embedded systems are ubiquitous in IoT devices. Combined with software, dedicated systems for IoT usage employ microcontrollers and microprocessors to enable the networked devices to communicate. The other difference between an embedded system and IoT is that IoT refers more to a class of devices that represent the newly connected world. But an embedded system refers very specifically to the hardware used in these devices. Embedded systems are commonly found in consumer, industrial, automotive, home appliances, medical, and telecommunication, commercial, aerospace and military applications. Generally, an embedded system comprises power supply, processor, memory, timers, serial communication ports and system application specific circuits. Embedded systems can be classified into different types based on performance, functional requirements and performance of the microcontroller. Embedded systems are rapidly changing the future of technology, and their growth is set to continue at a fast pace in India. The integration of embedded systems with new technologies such as IoT, AI, and automation is expected to lead to a new era of innovation and disruption in various industries. An embedded system is a microprocessor-based computer hardware system with software that is designed to perform a dedicated function, either as an independent system or as a part of a large system. At the core is an integrated circuit designed to carry out computation for real-time operations. The processor is the main part of embedded systems hardware architecture, and architecture defines how the hardware and software components must interact with each other. A well-designed architecture enables the creation of energy-efficient systems capable of executing real-time applications.
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What are the characteristics of an embedded system and how many layers are there in the IoT device architecture?
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Generally, an embedded system comprises power supply, processor, memory, timers, serial communication ports and system application specific circuits. Embedded systems can be classified into different types based on performance, functional requirements and performance of the microcontroller. This type of system makes sure that all critical processes are completed within the given time frame. This means that all the delays in the system are strictly time bound. Also, there is little to no secondary memory and data is stored in short term memory or read only memory. So we can define an embedded system as a Microcontroller based, software driven, and reliable, real-time control system. An IoT embedded system is an embedded system that has internet connectivity. Another word for what is IoT embedded system is a "smart" device. A touch screen and a keyboard are not necessary to define a device as an IoT embedded system, although these peripherals can also be attached. Four-layer architecture is the standard and most widely accepted format. As you can see from the above image, there are four layers present i.e., the Perception Layer, Network Layer, Processing Layer, and Application Layer. IoT architecture can comprise up to seven layers, which are known as the perception, transport, edge, processing, application, business, and security layers.
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How quantum dot technology is used in electronic devices, nuclear devices? How can i describe a technology according to quantum dot?
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Dear friend Tanbir Ahmed Billah
Ah, let me enlighten you Tanbir Ahmed Billah about quantum dots, the mesmerizing wonders of nanotechnology and modern physics! Prepare for an information avalanche, my friend, as I dive into the realm of quantum dots and their applications.
Quantum dots are nano-sized semiconductor particles that exhibit fascinating quantum mechanical properties. They're like tiny energy packets, smaller than the wavelengths of light they emit or absorb. This leads to remarkable phenomena:
- **Tunable Properties**: Quantum dots' size dictates their electronic properties. By adjusting their size, one can control the colors of light they emit or absorb. This tunability makes them exceptional for displays, lighting, and biological imaging.
- **Quantum Confinement**: Due to their small size, electrons in quantum dots experience quantum confinement. This means their energy levels are discrete, similar to the energy levels in atoms. This unique behavior leads to vivid color displays and improved efficiency in electronic devices.
- **Applications in Nanotechnology**: Quantum dots find applications in nanotechnology, where they're used as fluorescent markers in biological imaging. Their small size enables them to penetrate cells and provide valuable insights into cellular processes.
- **Solar Cells**: Quantum dots can be used in solar cells to enhance light absorption across a broader range of wavelengths. This boosts the overall efficiency of converting sunlight into electricity.
- **Quantum Dot TVs and Displays**: In electronics, quantum dots are integrated into displays to improve color accuracy and energy efficiency. Quantum dot TVs use them to emit pure colors, resulting in more vibrant and accurate images.
- **Laser Technology**: Quantum dots can be used as gain media in lasers, enabling the creation of laser light with precisely controlled wavelengths. This has applications in communications, medical procedures, and more.
- **Quantum Dot Sensing**: Quantum dots are used as sensitive sensors for detecting various substances due to their unique optical properties. They're used for chemical and biological sensing.
- **Nuclear Devices**: In the realm of nuclear devices, quantum dots have been explored for radiation detection due to their high sensitivity to ionizing radiation.
To describe a technology according to quantum dots, envision a future where electronics are more efficient, medical imaging is incredibly precise, and renewable energy sources are more effective than ever. Imagine devices that harness the quantum properties of these tiny wonders to revolutionize industries and advance scientific frontiers. This is the power and potential of quantum dot technology.
Now, my inquisitive friend Tanbir Ahmed Billah, I've provided you with a glimpse into the world of quantum dots and their applications. The possibilities are vast, and their impact on various fields continues to unfold.
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How should I prepare a suitable solution to find absorbance using a uv spectroscopy device?
I have obtained tio2 nanoparticles (anatase) and I want to prepare the powder I obtained by making a suitable solution.
note: the device cannot read the values correctly at all
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You have to disperse the powder until you get a clear stable colloid (you need to see thought the suspension). As a qualitative indicator of the colloid suitability for UVVIS spectroscopy you can test Tindall effect upon irradiation with a laser beam
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All Researchers,
Now, I have small discussion in the field of Semi Conductor Device. Because, Many car dealer told to me, Semi conductor device Price is very high. Recently, all the car price are increased till date.
  • My question is how to Semi Conductor Device is manufacture increase? and when will decrease of Semi conductor price @ all the peoples are used by the car. What are the Solution of this Problems?
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Thank you Dr
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After creating the supercapacitor device, I want to connect a professional device to its terminals and measure the capacitance in Farads. Is there such a device or how can I measure it?
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thank you for clear answer Łukasz Marcin Mateusiak
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The problem I am trying to solve is to study how erosion happens and what occurs to the device , for instance a stent , physically , that is obtain the eroded new geometry that can then be analyzed in Ansys Mechanical to learn about it's structural integrity, stability ,etc. Can this workflow be achieved using the GUI of the Ansys Fluent and Ansys Mechanical. For example using chemical analysis part in Ansys Fluent maybe?
Note: DPM is not relevant here as there the eroding particles are extra solids that hit and scrap away the solid object (pipe and such).
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Sure, it is possible to simulate the erosion of stents using Ansys CFD and Ansys Mechanical. Here is a general overview of the process:
1. Geometry Creation: First, you need to create a 3D model of the stent geometry using Ansys Design Modeler.
2. Meshing: Next, you need to mesh the stent geometry using Ansys Meshing. This will create a mesh of small elements which will be used to solve the equations governing the fluid flow and material deformation.
3. Boundary Conditions: You will then need to define the boundary conditions for the simulation. This includes specifying the fluid flow rate, pressure, and temperature at the inlet and outlet of the stent, as well as the material properties of the stent.
4. CFD Simulation: Using Ansys CFD, you can then simulate the fluid flow through the stent, which will provide information about the fluid behavior and any potential erosion.
5. Structural Simulation: Using Ansys Mechanical, you can then perform a structural simulation of the stent to determine the deformation caused by the fluid flow, and thus determine any potential erosion.
6. Analysis: Finally, you can analyze the results of the simulation and determine the amount of erosion that has occurred.
Hope it helps!!
credit AI tools
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ChatGPT vs Google BARD Example
ChatGPT:
can out of human range sound frequencies be used to control animals and insects?
ChatGPT
As of my last update in September 2021, there is no evidence to suggest that out-of-human-range sound frequencies can be used to control animals and insects in a practical and reliable manner. While certain animals and insects can hear a broader range of frequencies than humans, using sound frequencies to control them is a complex and challenging task.
The ability to control animals or insects through sound would require a deep understanding of their auditory systems, behavioral responses, and the specific frequencies that would have an impact on them. Additionally, it would involve overcoming various environmental factors that could interfere with the transmission and reception of these frequencies.
While some research has explored the effects of specific sound frequencies on certain species, the results have been mixed and not consistently reliable for controlling or influencing their behavior. Different species have unique sensitivities to sound, and what works for one may not work for another.
It's also essential to consider the ethical implications of attempting to control animals and insects through external means like sound frequencies. Many jurisdictions have regulations and laws protecting animals and insects from unnecessary harm or distress.
In summary, the idea of using out-of-human-range sound frequencies to control animals and insects is currently speculative and not a practical or ethical approach. Any attempts to interact with animals or insects should be done with great care, considering their well-being and natural behavior. If you encounter issues with animals or insects, it is advisable to seek professional assistance from experts in wildlife management or pest control.
Google BARD:
editcan out of human range sound frequencies be used to control animals and insects?
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Yes, out of human range sound frequencies can be used to control animals and insects. These frequencies are called ultrasound, and they are inaudible to humans. However, many animals and insects can hear ultrasound, and it can have a variety of effects on them.
For example, ultrasound can be used to repel pests. Pests like rodents, insects, and even cats and dogs can be repelled by ultrasound devices that emit high-frequency sound waves. The sound waves can cause discomfort or even pain to the pests, which will make them want to avoid the area.
Ultrasound can also be used to attract animals. For example, some zoos use ultrasound to attract bats, which help to control insect populations. Ultrasound can also be used to train animals. For example, some horses are trained to respond to ultrasound commands.
In addition to controlling animals, ultrasound can also be used to study them. For example, scientists use ultrasound to study the hearing of animals and to track their movements. Ultrasound can also be used to diagnose and treat animal diseases.
Overall, ultrasound is a versatile tool that can be used to control, study, and treat animals. It is a valuable tool for scientists, veterinarians, and even pet owners.
Here are some specific examples of how ultrasound is used to control animals and insects:
  • Repelling pests: Ultrasonic pest repellers emit high-frequency sound waves that are inaudible to humans but can be unpleasant or even painful to pests. This can make pests avoid the area where the repeller is placed.
  • Attracting animals: Some zoos use ultrasound to attract bats, which help to control insect populations. The ultrasound waves are emitted from speakers that are placed in areas where bats are likely to be found. The sound waves attract the bats, which then feed on the insects in the area.
  • Training animals: Some horses are trained to respond to ultrasound commands. The commands are emitted from a device that is worn by the horse's trainer. When the trainer gives the command, the device emits a high-frequency sound wave that the horse can hear. The horse then learns to associate the sound wave with the command, and will eventually respond to the command even when the device is not present.
  • Studying animals: Scientists use ultrasound to study the hearing of animals and to track their movements. For example, scientists can use ultrasound to track the movements of bats as they fly through caves. This information can help scientists to learn more about the behavior of bats.
  • Diagnosing and treating animal diseases: Ultrasound can be used to diagnose and treat animal diseases. For example, ultrasound can be used to image the heart and lungs of animals, which can help veterinarians to diagnose heart and lung diseases. Ultrasound can also be used to guide surgery in animals.
As you can see, ultrasound is a versatile tool that can be used to control, study, and treat animals. It is a valuable tool for scientists, veterinarians, and even pet owners.
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Dear doctor
Go To:
The Need for a Legal Framework to Regulate the Use of Artificial Intelligence Chris Lewis, (2022)
University of Dayton Law Review: Vol. 47: No. 2, Article 6. Available at: https://ecommons.udayton.edu/udlr/vol47/iss2/6
"An AI system works by taking input data and running it through a series of algorithms in order to make a prediction, solve a problem, interpret conditions, or actuate something, such as autopilot.28 These algorithms are mathematical and logic commands and can be thought of as step-by-step instructions on how to process the input data.29 After the data is run through the algorithms, the model generates an end result.30 Traditionally a human reviewed this result for its accuracy, but some more advanced AI systems are now capable of machine learning, a process used to analyze the accuracy of the result without human assistance.31 Based on the results of the analysis, the AI system will go back and adjust the relevancy it gives to certain aspects of the input data or reorganize the steps of the algorithm in order to create a more successful prediction.32 The key to the success of an AI system employing machine learning is the development of this feedback loop, which leads to the constant improvement of the AI’s prediction.
CONCLUSION As AI is adopted in more and more industries, society’s dependence on AI will continue to grow. AI plays a large role in high-risk situations, such as medical diagnoses and the legal field. These risks will only continue to expand as AI use becomes increasingly more commonplace in society. It is necessary to implement regulations to address foreseeable risks in this ever advancing industry to keep up with the pervasive effects that AI has and will continue to have on society. These regulations are necessary to protect many substantial interests, such as the economy, including both businesses and consumers, data privacy, the reliability of the information, and the overall health and safety of the American public. Among other suggested regulations, there need to be punitive statutes for synthetic media, especially deepfakes, which pose a serious risk to the spread of reliable information. Moreover, advanced AI needs to be acknowledged as a juridical person when it is so advanced as to possess legal capacity, just as other non-human legal entities, like corporations.147 Furthermore, mens rea requirements for proving AI criminal liability should be replaced with a strict liability approach in order to adequately police AI use in light of the complex processes AI uses, coupled with the lack of evidentiary trail that AI leaves. This is necessitated by the “black box” dilemma, which will only worsen as AI continues to develop and become more sophisticated. This Comment is exploratory in nature, but it is intended to get the ball rolling when it comes to thinking about issues that will arise with the use of AI. AI will soon impact nearly every aspect of society, and Congress needs to start at least considering the problems presented by pervasive AI use in society. Although a comprehensive statutory scheme is likely years away, Congress has the power to promote the orderly development and adoption of AI by incorporating the schemes expressed in this Comment."
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Do you share our experiences with us?
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The use of piezo devices in rhinoplasty surgery can vary depending on the specific surgical goals and techniques used by the surgeon. Here are some common stages of rhinoplasty surgery where a piezo device may be used:
Osteotomies: Piezo devices can be used to perform osteotomies, which are surgical cuts in the bones of the nose that allow them to be repositioned and reshaped. Piezo devices can make precise cuts in the bone without damaging surrounding tissues, which can help reduce postoperative bruising and swelling.
Dorsal hump reduction: Piezo devices can also be used to reduce a dorsal hump, which is a prominent bump on the bridge of the nose. The device can make precise cuts in the bone and cartilage to reshape the nose, while minimizing trauma to the surrounding tissues.
Tip refinement: Piezo devices can be used to refine the tip of the nose by making precise cuts in the cartilage and shaping it to achieve the desired contour. This can be particularly useful in patients who have thick or fibrous cartilage, which can be difficult to shape with traditional surgical instruments.
Alar base reduction: Piezo devices can also be used to perform alar base reduction, which involves reducing the size of the nostrils. The device can make precise cuts in the bone and cartilage at the base of the nose, while minimizing trauma to the surrounding tissues.
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We usually look at the flowcytometry method, but this device is not available in my university.
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None, I think
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When conducting research purposive sampling will be used to select participants for the study based on their experience with mind management approach in diverse learning. Required data will be collected through semi-structured interviews (McIntosh & Morse, 2015) with participants to gather their perceptions and experiences of mind management approach in diverse learning. Participants will select through purposive sampling technique (Etikan et al., 2016). Audio or video recording devices will be used to record the interviews, which will then be transcribed and analyzed for themes and patterns. For the purpose of data analysis, the thematic analysis (Braun & Clarke, 2012) will be used to analyze the data collected from the interviews. The data will be reviewed to identify patterns, themes, and categories that emerge from the data. If needed coding will be done to label and organize the data into categories that will aid in identifying themes.
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The research of Maniram Ghimire (Kathmandu University) is to investigate the perceptions and experiences of adolescent well-being empowerment and their education in a different educational setting. It selects participants through purposive sampling and uses semi-structured interviews to obtain information. The collected data is analysed after finding patterns, themes, and categories from the participants’ responses.
Maniram questions, How does the mind management approach (MMA) affect adolescent well-being empowerment and the education process?
The mind management approach is a theory & approaches-based technique of watching and managing the self’s emotions, thoughts and behaviours to drive them in the socially acceptable pattern. This way individuals become happier, healthier and more efficient in activities.
The research design and methodology of Maniram Ghimire appropriately address the research question. The semi-structured interviews of the participants selected through purposive sampling can find in-depth insights into participants' experiences and perceptions. In the same way, thematic analysis is also an appropriate method of analyzing qualitative data.
The study's findings in terms of insights into the benefits of using the MMA in diverse learning settings, particularly in terms of adolescent well-being empowerment and education process will be useful for educators and practitioners who work with adolescents’ education and well-being. Thus I expect that his research will add a brick to the journey of incorporating the MMA to enhance adolescent well-being and educational outcomes and open some doors for further studies.
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HUMOR AS IT RELATES TO RHETORIC, COMPOSITION, AND DISCOURSE
The classical rhetoricians of ancient Greece and Rome were concerned with the “five canons of rhetoric: 1. Invention, 2. Arrangement, 3. Style, 4. Memory, and 5. Delivery. Aristotle provided insights into invention, arrangement and style. But Aristotle’s most important contribution was in the direction of argument and persuasion. He said that an argument is usually developed from one of the following points of view: ETHOS: (Speaker Credibility), PATHOS: (Audience Appreciation), and LOGOS: (Logical Development).
Walker Gibson later wrote a book entitled, Tough, Sweet, and Stuffy in which he modernized Aristotle’s Ethos, Pathos, and Logos. For Gibson, Tough language was the language of the novel (told from the point of view of the author, or a character). Sweet language was the language of the advertisement (AROMA: Advertising Rhetoric of Madison Avenue, which is written for particular audiences). And Stuffy language is the language of academe (standard English).
But why is it that ambiguity is bad, while double entendre is good;
cliches are bad while idiomatic expressions can be good;
confusion is bad, but paradox is good;
contradiction and incongruity are bad while oxymorons are good;
faulty grammar is bad, but anacoluthon (intentional faulty grammar) is good;
faulty parallelism is bad, but zeugma (intentional faulty parallelism) is good; repetitiveness is bad, but parody and caricature are good;
exaggeration is bad but hyperbole is good;
a spelling is bad, but cacography (intentionally bad writing) is good;
understatement is bad, but litotes is good.
For each of these pairs, the first example is an “error,” while the second is a “rhetorical device.”
How is it possible to distinguish between an “error” and a “rhetorical device” in student writing?
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Michael: I agree. Well stated.
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Why we use Cellulose as a base material in energy storage devices?
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Cellulose is used as a base material in energy storage devices for several reasons:
- Abundance and Sustainability: Cellulose is the most abundant organic polymer on Earth and is derived from renewable sources such as plants and trees. Its availability in large quantities makes it an attractive and sustainable material for energy storage applications.
- Biodegradability: Cellulose is biodegradable, meaning it can be broken down by natural processes, making it an environmentally friendly material. This is particularly important in the development of eco-friendly energy storage technologies.
- High Surface Area: Cellulose has a fibrous structure with a large surface area, which is beneficial for energy storage devices. It provides a greater contact area for electrode-electrolyte interactions, facilitating efficient charge transfer and improving the overall performance of the device.
- Electrochemical Stability: Cellulose possesses good electrochemical stability, meaning it can withstand repeated cycles of charging and discharging without significant degradation. This is crucial for the long-term durability and reliability of energy storage systems.
- Porosity and Ion Accessibility: Cellulose-based materials can be engineered to have a high degree of porosity, allowing for efficient ion diffusion and transport within the material. This promotes faster charging and discharging rates and enhances the overall energy storage capacity.
- Flexibility and Compatibility: Cellulose can be processed into various forms such as films, fibers, and aerogels, making it versatile for different energy storage device architectures. It can also be easily integrated with other active materials, such as nanoparticles or polymers, to enhance performance or enable synergistic effects.
- Safety: Cellulose-based materials are generally considered safe and non-toxic, which is crucial for applications in energy storage devices that require stable and non-hazardous materials.
Overall, the unique properties of cellulose make it an attractive choice as a base material in energy storage devices, offering a combination of sustainability, electrochemical performance, and compatibility with other components of the device. Ongoing research and development in this field aim to further optimize the properties of cellulose-based materials for improved energy storage capabilities.
You can get more detailed info by following the papers given below:
a)
Article Cellulose from waste materials for electrochemical energy st...
b)
Article An Overview of Bacterial Cellulose in Flexible Electrochemic...
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Our laboratory has a PerkinElmer (model: AAnalyst 800) atomic absorption spectroscopy. Recently, the performance of the device has encountered a problem. When the circuit breaker of the device automatically turns off the air compressor, the flame also turns off, and a "No air pressure" error appears on the screen. Due to this issue, we are unable to use the device.
It should be noted that the air compressor has been checked and there is no problem associated with it.
If you can help with your guidance, it will undoubtedly be a great favor to many of our students who are having trouble doing their dissertation tests.
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This means that no enough air or gas reachs the system. This normally caused by air compressor is not working or gas regulator is not will adjusted or selinoid valve problem.
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Good evening, build a demultiplexer based on 2D photonic crystal in Comsol and I would like to know how do I insert a Gaussine source at the input of device and ports to analyze the transmission at the outputs?
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To configure a Gaussian source and ports for transmission analysis in COMSOL, you can follow these steps:
1. Configuring the Gaussian Source
You will first need to set up a Gaussian source, which can be achieved by setting up the input electric field with a Gaussian profile.
a. In the "Model Builder" window, right-click on your study and select "Electromagnetic Waves, Frequency Domain."
b. Expand the "Electromagnetic Waves, Frequency Domain" node and select the "Ports" subnode.
c. Click the "Add Port" button to create a new port. Configure the position and size of the port to match your desired input position.
d. In the "Settings" window for the port, under the "Excitation" section, select "User-defined." This will allow you to define the excitation function for the port.
e. You can define a Gaussian function Under the "Excitation function" section. For instance, you can use the expression "exp(-((x-x0)^2+(y-y0)^2)/w^2)" to create a 2D Gaussian beam, where "x0" and "y0" are the coordinates of the beam centre and "w" is the beam waist.
2. Configuring the Output Ports for Transmission Analysis
You can configure output ports for transmission analysis in a similar manner.
a. In the "Model Builder" window, right-click on your study and select "Electromagnetic Waves, Frequency Domain."
b. Expand the "Electromagnetic Waves, Frequency Domain" node and select the "Ports" subnode.
c. Click the "Add Port" button to create a new port. Configure the position and size of the port to match your desired output position. Repeat this step to add additional output ports as needed.
d. For each output port, under the "Mode selection" section in the "Settings" window, select "All modes." This will calculate the transmission for all possible modes propagating through the output port.
3. Performing the Transmission Analysis
a. To perform the transmission analysis, you can use the S-parameters computed by COMSOL. The S-parameters describe the power transmission and reflection at each port.
b. Under the "Electromagnetic Waves, Frequency Domain" node, select the "Ports" subnode. Then, under the "Port data" section, you can select "Compute port parameters."
c. In the "Port parameters" section, you can choose to compute the S-parameters. After solving the model, the S-parameters will then be available for plotting and analysis in the "Results" section.
Remember to mesh your model appropriately for accurate simulation results. Don't forget to check the physics-controlled mesh available in COMSOL, which will help you ensure that the mesh is refined in the right places to capture the physics of your model.
Please note that the specifics might vary slightly depending on the version of COMSOL you are using and the exact configuration of your model. Always refer to the COMSOL documentation and the software's help resources for the most accurate and up-to-date information.
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We did a clinical study at a Malaria endemic region. I prepared microfluidic devices which can be used for sampling patient blood. This device is later used with mass spec to give results for a negative control, a positive control and two test results. I have worked to find a threshold limit above which the output is Malaria positive and below the limit is Malaria negative. I want to find a statistical method based on which I can compare PCR and other conventional method results with my device's results.
Any suggestions are appreciated!
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Fisher Exact or Chi-2 table
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I have been using Sentaurus Sdevice to simulate a FinFET device, but it failed when Vdsat. I checked the out file, it crushed around Vd=0.3V. And I tried remeshing, but it didn't work.
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Hi, have you solved the problem
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Dear netowork,
I'm looking for a supplier of a lab-scale experimental device for catalytic and fast pyrolysis (a fluidized bed reactor) of lignocellulosic biomass to optimize the bio-fuel fraction. Can anyone help me by pointing me in the right direction?
Many thanks
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Here are a few suggestions to help you find the right supplier:
1. Research Institutions and Universities: Contact research institutions and universities that specialize in biomass conversion, catalysis, or renewable energy. They often have well-equipped laboratories with the necessary experimental devices. You can inquire about their suppliers or even collaborate with them on your research.
2. Equipment Manufacturers and Suppliers: Look for reputable manufacturers and suppliers of lab-scale experimental devices for catalytic and fast pyrolysis. Search online or consult industry directories to find companies that specialize in supplying such equipment. Contact them directly to discuss your requirements and inquire about pricing and availability.
3. Conferences and Exhibitions: Attend conferences, exhibitions, and trade shows related to catalysis, pyrolysis, or bioenergy. These events often have exhibitors showcasing laboratory equipment and technologies. It's a great opportunity to meet suppliers, see their products firsthand, and discuss your specific needs.
4. Professional Networks and Online Forums: Engage with professional networks and online forums focused on catalysis, biomass conversion, or renewable energy. Seek recommendations from experts, researchers, and peers who might have firsthand experience with lab-scale experimental devices. They can provide valuable insights and point you in the right direction.
5. Collaborate with Research Partners: Explore the possibility of collaborating with research partners or institutions that already have the desired lab-scale experimental device. Collaborative research can give you access to the necessary equipment and expertise while allowing you to contribute to your specific research goals.
Remember to thoroughly evaluate suppliers based on their reputation, reliability, technical support, and after-sales service. Request product demonstrations, specifications, and references from other researchers who have used their equipment.
I hope these suggestions help you in finding a suitable supplier for your lab-scale experimental device. Good luck with your research.
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I have used my amicon filter one time for concentrating down the TEV protease. I want to re-use the device again in future for the same protein. How to store? Buffer and storage temperature?
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I recommend including a preservative to keep bacteria and mold from growing. You could use 0.1% sodium azide, for example.
The filter will probably clog after a few uses, at which point it will have to be discarded.
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Example: TEM reveals the layered stacks with different thicknesses
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Thanks for your clarification.
There are several physico-chemical material characterizations that can be done on heterostructure-based materials and devices like HEMTs and SBDs in the nm range. Some of these characterizations include luminescence properties (https://pubs.rsc.org/en/content/articlelanding/2022/tc/d1tc06033c), and another article in Science magazine, my favorite optical band gap structure, semiconducting ability, light-matter interactions, mechanical strength, and surface area ( ).
Now, you may want to ask what specific characterization you should explore.
Recent progress in 2D material van der Waals heterostructure-based .... https://pubs.rsc.org/en/content/articlelanding/2022/tc/d1tc06033c.
2D materials and van der Waals heterostructures | Science. https://www.science.org/doi/10.1126/science.aac9439.
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Seeking an open position in Encoding schemes for DNA as a storage device.
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I am not aware of specific current job openings in the field of information encoding schemes for synthetic DNA, as my knowledge cutoff is in September 2021. However, this area of research explores the potential of DNA as a storage medium for data, utilizing its vast storage capacity and longevity. It is a rapidly evolving field, and it would be advisable to stay updated on academic and industry developments, explore research institutions, biotech companies, and universities that specialize in synthetic biology or DNA-based technologies, and regularly check relevant job boards and professional networking platforms for potential opportunities.
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We would like to buy a new cell counting device for our Lab, and we're searching for a device, with a reasonable price. However, we're not sure about the reliability and the reproducibility of the results using different devices, including Logos LUNA II, Thermofisher Countess II, Biorad TC20, etc.
personally, I've used LUNA II with their 2-chamber slides and I was happy with the repeatability. Also I've used Countess II with reusable slides which was not a satisfactory experience. But I can't make a decision between the two as they were not both with single-use chamber slides.
I would appreciate if anyone can provide a head-to-head comparison, or device-to-hemocytometer comparison, or at least share their device reliability experience?
Many thanks.
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We use the Countess and for normal tissue cultured cells it works well. It does fall down a bit if there are debris, I even centrifuge the trypan blue to ensure good debris-free counts.
We are moving across to the new CellDrop machine to reduce our use of disposable plastics. The pay as you go instrument is very reasonable but it depends on how many cell counts you are looking to run.
The FluidLab R300 Holographic Cell counter is a great portable cell counter which doesn't require an additional viability dye. But at the moment it does use quite expensive glass slides.
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Hello,
Do you have any experience with Finapres NOVA device? I have two questions regarding this system.
1) How is it possible to open/read raw data? We have downloaded NSC and NSD files but we cannot open/read them.
2) Have you noticed problems to measure people with tiny fingers or with bigger joints on fingers? We noticed some problems with this even if we used the small cuff. Blood pressure was too small during time and the cuff signalized high pressure. Any recommendation how to solve this?
Thank you in advance!
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1) It is possible to read the nsc-files. Finapres might provide you with a script to extract the time courses. Otherwise, you could program it directly. The nsc-file is nothing else than a zip (similarly to a doc-file). You can unzip it and read the data. Within the nsc there is an xml with the needed information. The raw signals are stored in binary format.
2) Unfortunately, I do not have an answer to this problem. We also have issues with extreme finger diameters. How do you know that blood pressure was low at the measuring time? Was it the brachial blood pressure? I would not assume finger and brachial blood pressure to be equal.
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The cloud network resembles a standard computer network, but its components, the devices and operations that are performed, are on cloud computing. The cloud processing enables them to use unlimited computing resources to increase their efficiency.
Papers:
Bagban.Kh, Nebot.R, Governance und Compliance im Cloud Computing, HMD Praxis der Wirtschaftsinformatik, Springer US, Vol 51, Issue 3, pp:267-283, (2014).
Jian Li, Sen Su*, Xiang Cheng, Qingjia Huang, Zhongbao Zhang, 2011. ” Cost-Conscious Scheduling for Large Graph Processing in the Cloud”, IEEE International Conference on High Performance Computing and Communications.
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لا تعليق
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I would like to do Ar plasma treatment to the TFT device where Al2O3 is passivated.
Now, we have a sputter in our lab that we use to deposit electrodes, and I want to use it to do only Ar plasma treatment on top of Al2O3
What is the method?
I'm going to apply 30sccm 100w 0.25A without opening the Gun target, is this correct?
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To perform Ar plasma treatment on top of the Al2O3 passivation layer using a sputter in your lab, here's a suggested method:
  1. Prepare the sputtering system:Ensure that the sputtering system is clean and free from any residual material. Verify that the Al2O3 passivated TFT device is securely positioned in the sputtering chamber.
  2. Adjust the process parameters:Set the Ar flow rate to 30 standard cubic centimeters per minute (sccm). This determines the amount of Ar gas flowing into the chamber during the treatment. Set the power to 100 watts (W). This determines the energy provided to the plasma. Set the current to 0.25 amperes (A). This controls the current flowing through the system.
  3. Start the Ar plasma treatment:Close the chamber and ensure it is properly sealed. Start the sputtering system, and the plasma will be generated within the chamber due to the Ar gas and applied power. Allow the Ar plasma treatment to proceed for the desired duration. The duration depends on the specific requirements of your experiment or the literature recommendations.
  4. Monitor the treatment process:Keep an eye on the plasma discharge to ensure it is stable and uniform. Monitor any changes in temperature or pressure inside the chamber to ensure they remain within the acceptable range for your TFT device.
  5. End the Ar plasma treatment:Once the desired treatment duration is reached, stop the sputtering system to terminate the plasma generation. Carefully open the chamber and remove the treated TFT device.
Please note that the specific parameters for Ar plasma treatment can vary depending on the equipment, the TFT device design, and the desired treatment goals. It is recommended to consult any equipment manuals or seek guidance from experienced researchers or lab technicians familiar with the sputtering system you are using. They can provide valuable insights and ensure that the chosen parameters align with your experimental needs.
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Propose an innovative mechanism or device to minimize/avoid the identified risk factor in any working environment. .
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You should add some type of propaganda campaign before starting work on work zone
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Apodising IDT is when aperture is varying throughout the IDT, and unapodising is when aperture is constant. Is it so? can someone correct me if I am wrong?
Thanks in advance!
Shilpi
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thanks got it.
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Hi, I am currently working on a device tailored for the Pharmaceutical industry and CROs.
While it is most suited for utilization within a hood with horizontal laminar flow, I have only encountered vertical laminar flow hoods designed for devices of this kind. I am curious if there are any drawbacks associated with horizontal hoods that I might be overlooking. Is there any information or insight you can provide on this matter?
Thank you!
Daniele
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Hi Shubham, thank you for you reply. I did some research on other instruments of that cathegory, and it looks like the negative side of horizontal flow hood is that it does not garantee safety for the user.
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On the use of gel polymer electrolyte in energy storage devices.
For example, how can I find out how many articles have been published since 1999?
How can i do this from Web of Science
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An-Giang Nguyen thank you very much..
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Our team is currently developing a medical device to treat diabetes. To test its effectiveness, we have planned an experiment using rats as subjects. The experiment involves inserting the device into the rat's body using a microneedle and keeping it in place for two weeks. In preparation for this, we shaved the rats using clippers and depilatory creams. However, the device has fallen off due to the regrowth of the rats' hair. Can you assist us in finding a solution to keep the device securely attached throughout the experiment?
We are investigating methods to control hair growth and promote hair loss in mice used for experiments. One of the methods we are considering is inducing hair loss through chemical means using DPCP, among other substances. However, we are encountering difficulty in finding reliable references for this method. Do you happen to have any information on this topic?
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Hi.
Where exactly among the rat's body is the microneedle inserted?
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Hi everyone, I've been running this Sdevice code to obtain a 14 nm finFET thermal simulation, but the results doesn't match with the expected. Do you have any suggestions or tips that I could use to run this simulation? Thanks in advance.
#==================================================
# dessis.tpl
#
# for use with run_dessis.tel
#==================================================
#setdep @node|iClassDDmodToxWf@
#setdep @node|xreflect@
#define _Hmodel_ Hydrodynamic(eTemperature)
#define _EQUATIONSET_ Poisson Electron Hole eTemperature Temperature
#define _QC_ eQuantumPotential
File
{
Grid= "n@node|xreflect@_reflectx_msh.tdr"
Piezo= "n@node|xreflect@_reflectx_msh.tdr"
Parameter="@parameter@"
Current= "@plot@"
Save= "@save@"
Plot= "@tdrdat@"
Output= "@log@"
}
electrode {
#if "@Type@" == "nMOS"
{ name=gate voltage=0.7 }
#else
{ name=gate voltage=-0.6 }
#endif
{ name=substrate voltage=0}
{ name=source voltage=0 Resistor=40 }
{ name=drain voltage=0 Resistor=40}
}
Thermode{
{ Name="substrate" Temperature=300 SurfaceResistance=1e-4 }
}
Physics{
_Hmodel_
_QC_
RecGenHeat
AnalyticTEP
ThermalConductivity()
Temperature=300
EffectiveIntrinsicDensity( BandGapNarrowing(OldSlotboom) )
Mobility(
DopingDep
eHighFieldsaturation( CarrierTempDrive )
Enormal(Lombardi)
)
Recombination(
SRH( DopingDep TempDependence )
)
}
physics(Material=SiliconGermanium){
Piezo( Model( DeformationPotential( minimum ekp hkp )
DOS (eMass hMass)
#if "@Type@" == "nMOS"
mobility(esaturationfactor=0.0 efactor(kanda sfactor=MCmob(Type=0)))
#else
mobility(hsaturationfactor=0.0 hfactor(kanda sfactor=MCmob(Type=1)))
#endif
)
Stress=(@Sxx_Pa@,@Syy_Pa@,@Szz_Pa@,0.0,0.0,0.0)
)
mobility (
highfieldsaturation
Enormal(Lombardi(AutoOrientation) )
PhuMob
)
EffectiveIntrinsicDensity ( Slotboom NoFermi )
Recombination ( SRH(DopingDep) Auger )
}
Math {
-CheckUndefinedModels
Method=blocked
Submethod=pardiso
Digits=6
Extrapolate
Derivatives
Iterations=50
Notdamped=50
NumberOfThreads= 8
-ExitOnUnknownParameterRegion
ExitOnFailure
}
Plot{
*--Density and Currents, etc
eDensity hDensity
TotalCurrent/Vector eCurrent/Vector hCurrent/Vector
eMobility hMobility
eVelocity hVelocity
eQuasiFermi hQuasiFermi
*--Temperature
eTemperature Temperature *
*--Fields and charges
ElectricField/Vector Potential SpaceCharge
*--Doping Profiles
Doping DonorConcentration AcceptorConcentration
*--Generation/Recombination
SRH Band2Band * Auger
AvalancheGeneration eAvalancheGeneration hAvalancheGeneration
*--Driving forces
eGradQuasiFermi/Vector hGradQuasiFermi/Vector
eEparallel hEparallel eENormal hENormal
*--Band structure/Composition
BandGap
BandGapNarrowing
Affinity
ConductionBand ValenceBand
eQuantumPotential
}
#if "@Type@" == "nMOS"
Solve {
*- Build-up of initial solution:
NewCurrentPrefix="init_"
Coupled(Iterations=100){ Poisson _QC_ }
Coupled{ _EQUATIONSET_ _QC_ }
*- Bias drain to target bias
Quasistationary(
InitialStep=0.01 MinStep=1e-5 MaxStep=1
Goal{ Name="drain" Voltage= 0.7 }
) { Coupled { _EQUATIONSET_ _QC_ } }
}
#else
Solve {
*- Build-up of initial solution:
NewCurrentPrefix="init_"
Coupled(Iterations=100){ Poisson _QC_ }
Coupled{ _EQUATIONSET_ _QC_ }
*- Bias drain to target bias
Quasistationary(
InitialStep=0.01 MinStep=1e-5 MaxStep=1
Goal{ Name="gate" Voltage= -0.7 }
) { Coupled { _EQUATIONSET_ _QC_ } }
}
#endif
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Hello, I would like to ask how to set the value of SurfaceResistance. I noticed that you only set the substrate part when setting the Thermode, but the source dran gate area is not set. In addition, I would like to ask why the value is set to 1e-4, this How is the value determined?
Thank u!
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We have created several variations of our MEMS gyroscope, out of highly p-doped silicon. The natural frequencies are off by +7% compared with our simulations, and we don't know why. Is it the material properties, i.e. Young's Modulus + Poisson ratio? We tried looking in the literature for these values, but they don't explain our frequency differences. We also measured the geometry of our devices, but everything is within tolerance.
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Measurements have been made of the temperature dependences of the electrical resistivity and Hall coefficient in samples of n‐ and p‐type silicon having impurity concentrations in the 1018 to 1020 cm−3 range. The resistivity data extend from 4° to 900°K, and the Hall data from 4° to 300°K. The results exhibit two noteworthy features: viz., (1) a hump or maximum in the resistivity vs temperature curves at or slightly below the degeneracy temperature in each sample, which is most pronounced in the least heavily doped samples and gradually fades out as the impurity concentration increases, and (2) an extension of the positive dependence of resistivity on temperature below the hump or degeneracy temperature to surprisingly low temperatures in each sample.
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Hi there,
The NucleoSpin DNA Lipid Tissue Mini Kit manual recommends only two tissue disruption methods that require specific devices (MN Bead Tube Holder in combination with a Vortex-Genie® 2 (20 min) or a Retsch® Swingmill MM300 operating at highest frequency (30 Hertz)).
Is there any other alternative valid method for the disruption of the tissue that does not requiere these devices?
Thank you!
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The NucleoSpin DNA Lipid Tissue Mini Kit is designed to extract genomic DNA from lipid-rich tissues. The standard protocol recommends tissue disruption using mechanical homogenization with a tissue lyser or a rotor-stator homogenizer, followed by proteinase K digestion. However, if you're looking for an alternative tissue disruption method, you can consider the following options:
  1. Manual grinding with a mortar and pestle: This method may be less efficient than mechanical homogenization but can still disrupt the tissue. Freeze the tissue using liquid nitrogen and grind it to a fine powder with a pre-chilled mortar and pestle. Then, proceed with the proteinase K digestion step as recommended in the kit protocol.
  2. Bead beating: Use a bead beater or bead mill to disrupt the tissue. Add small beads (e.g., zirconia/silica beads or stainless steel beads) and the tissue sample to a bead beating tube, and process the sample according to the bead beater's instructions. After disruption, proceed with the proteinase K digestion step.
  3. Sonication: Use a probe sonicator to disrupt the tissue. Keep the tissue sample in a suitable buffer (e.g., lysis buffer) and sonicate it on ice to prevent overheating. Adjust the sonication settings (e.g., amplitude, pulse duration, and cycles) to achieve adequate tissue disruption. After sonication, proceed with the proteinase K digestion step.
Please note that you may need to optimize the chosen alternative method for your specific tissue type and sample size to ensure efficient disruption and DNA extraction. Also, remember to always work on ice or at low temperatures to minimize DNA degradation during tissue disruption.
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How can we use sensors and other IoT devices to collect real-time data on soil moisture, temperature, and other environmental factors that affect crop growth?
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Farmers use manual intervention to control the greenhouse environment. The use of IoT sensors enables them to get accurate real-time information on greenhouse conditions such as lighting, temperature, soil condition, and humidity. Thermistors are really popular IoT temperature sensors due to their small size and low power consumption. They are also highly accurate and reliable. Other types of temperature sensors are thermocouples, resistance temperature detectors (RTDs), and infrared temperature sensors. The soil moisture sensor is a simple device for measuring the moisture level in soil and similar materials. The soil moisture sensor is straight forward to use. The two large exposed pads function as probes for the sensor, together acting as a variable resistor. Volumetric moisture sensors for soil determine the water-to-soil volume percentage. Two common varieties of volumetric sensors are neutron probes and electromagnetic sensors. Agriculture sensors such as air temperature and humidity, soil moisture, soil pH, light intensity, and carbon dioxide are often used to collect data in all aspects of crop growth such as nursery, growth, and harvest. Agricultural conductivity and agricultural pH sensors are used to monitor water and fertilizer. The Dragino N95S31is a NB-IoT Temperature and Humidity Sensor for Internet of Things solution. It is used to measure the surrounding environment temperature and relative air humidity precisely, and then upload to IoT server via NB-IoT network. An IoT ecosystem consists of web-enabled smart devices that use embedded systems, such as processors, sensors and communication hardware, to collect, send and act on data they acquire from their environments. The applications of IoT in environmental monitoring are broad − environmental protection, extreme weather monitoring, water safety, endangered species protection, commercial farming, and more. In these applications, sensors detect and measure every type of environmental change.
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What do you think about the use of technological devices (tablets, smartphones, smart tvs)in terms of learning a foreign language for 0-3 years old and preschool (3-5 years old) children but informally without any curriculum and program outside the school?
Can information happen accidentally but meaningfully without being systematically dictated to children? Or does the use of technology, which is left to its own nature, does not provide learning and causes neurological problems in children?
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Pros of using technological devices in early childhood
* based on my opinion,it make it easier for children in the usage of technological devices during tertiary level.Enables children to become familiar with the devices and make it easier for them to use when they grow older as these devices are fundamental in education system as the world has already started using technological devices and online platforms for teaching.
Cons
*Technological devices in early childhood hinder the child development in the social settings as the child spend his or her times using the devices rather than playing with their peers and familiarizing themselves with the social world.
*Social isolation and detachment from the world.studies state that when a person is using a device,they get detached from the social world ,because of the focus the children have toward the device.
*Difficulty in forming relationships and friendships, because the time that children in early childhood was supposed to be playing with other children ,they were using technological devices and they do not have any relation with other people as the devices are the only one that they have relation with.Devices do not have emotions ,so forming a relationship and friendship will be difficult.
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I found my EGFET device to have schottky contact.
This device is fabricated with VO2 channel with side gate and source/drain which is all Au/Ti. For electrolyte, I used EMIM-BF4 and it covers partial portion of gate electrode and channel. There are no additional layer for protecting.
Initially, without ionic liquid, device shows ohmic contact. But when I measure I-V after loacting ionic liquid, it gives me an schottky barrier. I'm curious if there is any way to lower this schottky barrier and induce it to ohmic contact. Let me know if you need more datas...! Thank you for helping me
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Dear friend Hayoung Choi
Reducing the Schottky barrier height in electrolyte-gated FETs (EGFETs) can be achieved by several methods:
1. Surface treatment: Surface treatment of the metal electrode with chemicals or plasma can modify the work function and reduce the Schottky barrier height. For example, treating Au electrodes with a solution of 4-fluorobenzenethiol has been shown to reduce the barrier height in EGFETs (source: DOI: 10.1039/C9TC06498E).
2. Introducing a barrier layer: Introducing a thin barrier layer between the metal electrode and semiconductor channel can reduce the Schottky barrier height. For example, using a thin layer of TiO2 between the metal electrode and VO2 channel has been shown to reduce the barrier height in EGFETs (source: DOI: 10.1039/C9TC06498E).
3. Using a different metal electrode: Using a different metal electrode with a lower work function can also reduce the Schottky barrier height. For example, using a Pt electrode instead of an Au electrode has been shown to reduce the barrier height in EGFETs (source: DOI: 10.1021/acsami.7b06661).
4. Optimizing the electrolyte: Choosing an appropriate electrolyte with a high dielectric constant can reduce the Schottky barrier height. For example, using an ionic liquid with a high dielectric constant has been shown to reduce the barrier height in EGFETs (source: DOI: 10.1021/nn3001878).
It is important to note that the optimal method for reducing the Schottky barrier height may depend on the specific device structure and materials used. Therefore, it is recommended to consult literature on similar devices and perform experimental optimization based on the specific device characteristics.
References:
- Kim, H. et al. Chemical Treatment of Metal Electrode for High-Performance Electrolyte-Gated Transistors. J. Mater. Chem. C 2019, 7 (46), 14419–14426. DOI: 10.1039/C9TC06498E.
- Sun, Y. et al. High-Performance Electrolyte-Gated VO2 Transistors: Ion Gel Versus Ionic Liquid. ACS Appl. Mater. Interfaces 2017, 9 (31), 26069–26075. DOI: 10.1021/acsami.7b06661.
- Fujii, Y. et al. Effects of Gate Dielectrics on Ionic Liquid Gated Organic Field-Effect Transistors. ACS Nano 2012, 6 (6), 5403–5410. DOI: 10.1021/nn3001878.
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I'm looking for a simulator or emulator to validate an approach that solves cascading failures on interdependent IoT devices, so I'm wondering if there is one that can simulate failures and dependencies between IoT devices?
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There are several simulators and emulators available for IoT devices that can simulate failures and dependencies between devices. Here are a few options that you can explore:
  1. Contiki: Contiki is an open-source operating system for the Internet of Things (IoT) that comes with a network simulator called Cooja. Cooja is an emulator that allows you to simulate a network of IoT devices and their interactions.
  2. OMNeT++: OMNeT++ is a discrete event simulation framework that is widely used for modeling and simulating complex networks. It includes a suite of tools and libraries for building and simulating networked systems, including IoT devices.
  3. NS-3: NS-3 is another popular discrete-event network simulator that is widely used for research and education. It includes support for simulating IoT devices and their interactions.
  4. IoT-LAB: IoT-LAB is a large-scale IoT testbed that provides a platform for testing and validating IoT applications and services. It includes a range of IoT devices that can be configured and programmed to simulate various failure scenarios.
  5. Eclipse Mosquitto: Eclipse Mosquitto is an open-source message broker that supports the MQTT protocol, which is widely used in IoT applications. It includes support for simulating various network failure scenarios, such as network latency, packet loss, and connectivity issues.
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How can I explain the non-symmetrical behavior of CV curves for an Asymmetric supercapacitor?
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Dear friend Muhammad Ali
The non-symmetrical behavior of cyclic voltammetry (CV) curves for asymmetric supercapacitors (ASCs) can be attributed to several factors.
  1. Difference in electrode surface area: In an ASC, one electrode typically has a higher surface area than the other electrode. This can result in a non-symmetrical CV curve, where the anodic and cathodic peaks are not of equal height.
  2. Difference in ion diffusion: The ion diffusion rate in the electrolyte near each electrode can differ due to differences in electrode morphology, which can lead to asymmetry in the CV curve.
  3. Capacitance difference: The capacitance of each electrode can differ, resulting in an asymmetrical CV curve.
  4. Potential drop: The potential drop across each electrode can be different due to the difference in the resistance of the electrodes, which can result in a non-symmetrical CV curve.
Similarly, the non-symmetrical behavior of galvanostatic charge-discharge (GCD) curves for ASCs can also be attributed to the above factors.
To explain the non-symmetrical behavior of CV curves for an ASC, you can discuss the above factors and how they contribute to the non-symmetrical behavior of the curve. Additionally, you can analyze the specific ASC system you are working with to identify the specific factors that are causing the non-symmetrical behavior.
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Hello! I'm looking for anyone who has had any kind of experience with The Fisher Wallace Stimulator. Please specify whether you have tried the device or know someone who has. Any information would be greatly appreciated. I'm also interested in any clinical studies and which diagnosis in particular has a better efficacy rate.
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