Orthorhombic tantalum pentoxide nanorods for electrochemical applications

Water splitting is an important method for hydrogen production. Notably, tantalum oxide has the potential to employ extensive variety appliances because of its outstanding electrical and optical properties. Tantalum pentoxide (Ta₂O₅) nanopowders were produced using the sol–gel process. The effect of calcination time plays a main role on Ta₂O₅ crystal structure configuration. Transmission electron microscope images explored obtained Ta₂O₅ nanorod formation and investigated by electrochemical studies for its use in electrochemical water-splitting applications. The calculated specific capacitance values of Ta₂O₅ electrodes at different temperature conditions were 146.4, 191.7, and 221.7 F/g. Fabricated Ta₂O₅ electrodes showed overpotential of 304, 278, and 267 mV. Current densities of Ta₂O₅ electrodes at different calcinations times were 353, 419, and 461 mA/g. Ta₂O₅ powder calcined for 6 h revealed high specific capacitance and low overpotential, indicating better electrochemical reactivity suitable for water oxidation applications.     

Thermal Ramp Type of Photo-Thermal Excitation in Hall Current and Variable Thermal Conductivity of Semiconductor Elastic Material

Silicon - In this article, the variable thermal conductivity which it depending on temperature gradient in context of the photothermal excitation process of a semiconductor elastic material is...     

Preparation and evaluation of composites containing polypropylene and cotton gin trash

Composites of polypropylene (PP) and cotton gin trash (GT) were prepared to enhance the utilization of agro-based materials in industrial products. GT was modified by two methods: toluene washed only, and toluene washed and treated with maleic anhydride-grafted polypropylene (MAPP). These GT samples were extruded with PP, including MAPP and ethylene/vinyl acetate copolymer in various weight ratios (32 composites total). The PP composites displayed tensile strengths close to that of the neat PP, and exhibited higher values of tensile modulus and lower elongation at break than the neat PP. Based on DSC measurements, the PP composites containing 10 wt% GT exhibited two crystalline regimes, while those containing 20 wt% GT were similar in crystallinity to that of the neat PP. The composites were also characterized using SEM, TGA, water absorption tests, and contact angle measurements. These composites represent a more sustainable alternative to neat, fossil fuel-based PP.     

Design of hemocompatible poly(DMAEMA‐co‐PEGMA) hydrogels for controlled release of insulin

This works aims at (i) studying the antiadhesive properties and the hemocompatibility of poly[2‐(dimethylamino)ethyl methacrylate]‐co‐poly[(ethylene glycol)methacrylate] [poly(DMAEMA‐co‐PEGMA)] copolymers and (ii) investigating the insulin delivery kinetics through hydrogels at physiological pH. A series of poly(DMAEMA‐co‐PEGMA) hydrogels have been synthesized, and their controlled composition was confirmed by X‐ray photoelectron spectroscopy. Then, antibiofouling properties of hydrogels—fibrinogen, erythrocytes, and thrombocytes adhesion—are correlated to their molecular compositions through their hydrophilic properties. As DMAEMA/PEGMA ratio of 70/30 (D70) offers the best compromise between pH sensitivity and hemocompatibility, it is selected for investigating the kinetic rate of insulin release at physiological pH, and the diffusion coefficient of insulin in gel is found to be 0.64 × 10^?7 cm² s^?1. Overall, this study unveils that poly(DMAEMA‐co‐PEGMA) copolymers are promising hemocompatible materials for drug delivery systems. © 2015 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015 , 132, 42365.     

IoT & AI Enabled Three-Phase Secure and Non-Invasive COVID 19 Diagnosis System

Corona is a viral disease that has taken the form of an epidemic and is causing havoc worldwide after its first appearance in the Wuhan state of China in December 2019. Due to the similarity in initial symptoms with viral fever, it is challenging to identify this virus initially. Non-detection of this virus at the early stage results in the death of the patient. Developing and densely populated countries face a scarcity of resources like hospitals, ventilators, oxygen, and healthcare workers. Technologies like the Internet of Things (IoT) and artificial intelligence can play a vital role in diagnosing the COVID-19 virus at an early stage. To minimize the spread of the pandemic, IoT-enabled devices can be used to collect patient’s data remotely in a secure manner. Collected data can be analyzed through a deep learning model to detect the presence of the COVID-19 virus. In this work, the authors have proposed a three-phase model to diagnose covid-19 by incorporating a chatbot, IoT, and deep learning technology. In phase one, an artificially assisted chatbot can guide an individual by asking about some common symptoms. In case of detection of even a single sign, the second phase of diagnosis can be considered, consisting of using a thermal scanner and pulse oximeter. In case of high temperature and low oxygen saturation levels, the third phase of diagnosis will be recommended, where chest radiography images can be analyzed through an AI-based model to diagnose the presence of the COVID-19 virus in the human body. The proposed model reduces human intervention through chatbot-based initial screening, sensor-based IoT devices, and deep learning-based X-ray analysis. It also helps in reducing the mortality rate by detecting the presence of the COVID-19 virus at an early stage.     

Transferring architectural management into practice: A taxonomy framework

This research aimed to develop a unique framework to help architects understand and apply architectural management (AM) in their practices. A comprehensive literature review identified several components belonging to different specialist fields. A pragmatic methodology for developing the framework was adopted by combining the methodology of Japareen for building conceptual frameworks with the Concept Mapping and Qualitative Met-Synthesis techniques. The resulting framework underwent a series of testing stages aimed at refining the framework further. The testing process targeted two groups (researchers and professionals) by adopting a mixed method approach, which included a facilitated workshop, interviews, and a questionnaire survey. The feedback from the testing phase was used to create the final AM Taxonomy Framework (AMTF), and served as an original and practical guide for practitioners, further extending their understanding of AM. Further validation and refinement are planned in the long term by applying the framework to selected architectural practices.     

GABA: A Key Player in Drought Stress Resistance in Plants

γ-aminobutyric acid (GABA) is a non-protein amino acid involved in various physiological processes; it aids in the protection of plants against abiotic stresses, such as drought, heavy metals, and salinity. GABA tends to have a protective effect against drought stress in plants by increasing osmolytes and leaf turgor and reducing oxidative damage via antioxidant regulation. Guard cell GABA production is essential, as it may provide the benefits of reducing stomatal opening and transpiration and controlling the release of tonoplast-localized anion transporter, thus resulting in increased water-use efficiency and drought tolerance. We summarized a number of scientific reports on the role and mechanism of GABA-induced drought tolerance in plants. We also discussed existing insights regarding GABA’s metabolic and signaling functions used to increase plant tolerance to drought stress.     

Analysis of Thermal Effects on Electrical Characterization of AlGaN/GaN/Si FAT-HEMTs

In this paper we report on the characteristics of Schottky contact behavior of AlGaN/GaN High Electron Mobility Transistors (HEMTs) on a Si Substrate. A variety of electrical techniques such as capacitance-voltage (C-V) and deep level transient spectroscopy (DLTS) measurements have been used to characterize the diode. The behavior of the ideality factor n, the effective barrier height Φ_b, and the series resistance R_S is studied with temperature. C-V measurements successively sweeping up and down the voltage from 0 V to 12 V(absolute value) have demonstrated a hysteresis phenomenon which is more pronounced when the temperature increases. This parasitic effect can be attributed to the presence of traps activated in the Schottky diode. The related deep levels defects which are responsible for parasitic effects, were characterized and extracted by the Deep Level Transient Spectroscopy (DLTS) technique that has been used in previous studies. The identification of these traps showed a correlation between DLTS and C-V measurements.     

Discrepancy between language learners and teachers concerns about emergency remote teaching

Emergency remote teaching refers to the unanticipated, involuntary shift to a virtual learning environment due to, for example, a natural disaster or political instability. The sudden nature of this transition creates additional challenges to effective learning. In this article, we investigate one such challenge, namely the potential for teacher–student miscommunication. We report on a study involving 674 language learners and 61 language teachers. The participants were asked to rate a number of education-related ١problems that could potentially arise in the context of emergency remote teaching. Learners rated these concerns in terms of the extent to which they had actually experienced them, while teachers were asked to rate the extent to which they perceived these to be concerns for their students. The results showed that teachers believed that students required additional training on using learning management systems, that students did not take online teaching seriously, and that emergency remote teaching would encourage students to cheat. Students disagreed with these statements (ds = 0.53–0.65). We discuss the implications of these teacher–learner discrepancies in light of the need for explicit guidelines and clearer expectations of students during online learning and assessment.