Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCELERATED TESTS FOR SIMULATING LOW DOSE RATE GAIN DEGRADATION OF LATERAL AND SUBSTRATE PNP BIPOLAR JUNCTION TRANSISTORS

The effect of dose rate on radiation-induced current gain degradation at 20 krad(Si) was quantified for lateral and substrate pnp bipolar transistors over the range of 0.001 to 294 rad(Si)/s. Degradation increases monotonically with decreasing dose rate, such that, at an emitter-to-base voltage of 0.7 V, radiation-induced excess base current differs by a factor of approximately eight at the extreme dose rates. Degradation shows little dependence on dose rate below 0.005 rad(Si)/s, suggesting that further degradation enhancement at space-like dose rates may be negligible. In addition, the effect of ambient temperature on radiationinduced gain degradation at 294 rad(Si)/s was thoroughly investigated over the range of 25 to 240 "C. Degradation is enhanced with increasing temperature while simultaneously being moderated by in situ annealing such that, for a given total dose, an optimum irradiation temperature for maximum degradation results. Optimum irradiation temperature decreases logarithmically with total dose and is larger and more sensitive to dose in the substrate device than in the lateral device. Based on the measurement of midgap interface trap density in the base oxide, enhancement in transistor gain degradation due to elevated temperature is explained as an increase in surface recombination velocity in the base. Maximum high dose rate degradation at elevated temperature closely approaches low dose rate degradation for both devices. Based on hightemperature irradiations, a flexible procedure for the accelerated prediction of low dose rate gain degradation at 20 krad(Si) is developed for each of the devices studied.
Dynamic analysis of 2-2 cement–based piezoelectric transducers

Exact dynamic analysis of 2-2 cement–based piezoelectric transducers is presented based on the theory of piezo-elasticity in this article. The solutions of four different kinds of 2-2 cement–based piezoelectric transducers under external harmonic load are obtained by using the displacement method. The effects of polarization direction of piezoelectric layers and thickness and distance of piezoelectric layers on the responses of the transducers are discussed. Comparisons with other related experimental investigations are also given, and good agreement is found. The results obtained in the present investigation provide a comprehensive understanding and can be referenced in the design of 2-2 cement–based piezoelectric transducers.
Geographical Indications and Welfare: Evidence from the US Wine Market

A systematic component of wine quality is believed to depend on the geo-climatic factors of its production conditions. This belief has long been a motivation for the development of geographical indications for wines. In the United States, American Viticulture Areas (AVAs) represent the most common geographic factor firms use to differentiate their products. In this paper, we estimate a discrete choice model of US wine demand to study the market and welfare impact of AVAs. Specifically, we develop a two-level nested logit choice model, featuring many wine products and characteristics—including wine type, brands, and varietals, in addition to AVAs—and estimate it using Nielsen Consumer Panel data over the 2007–2019 period. We find significant welfare gains from AVA information on wine labels. Over the period of interest, the welfare gain attributable to AVAs is estimated at about $2.37 billion, with wine producers and retailers capturing approximately 80% of this surplus. Approximately 90% of consumer welfare gains are due to product differentiation and increased variety, with the remaining gains due to price decreases resulting from increased product competition.
Parking Space Detection Using Image Processing

: In modern era, the trouble of parking is also growing because of the growth within side the quantity of vehicles. From the closing decade, there are numerous researches took place with a goal to broaden a really perfect automated parking slot occupancy detection. There is an auto mechanism that can park vehicle automatically but it is required to detect which parking slot is available and which one is busy. In this paper propose a parking space detection using image processing. In this paper proposes parking-space occupancy detection, Visualization of free parking spaces, Parking statistics, Wireless communication, Easily available components, System will get Live-stream video of the parking lot from camera. Images are captured when a car enters or leaves the parking lot. System will also work in Mobile phone (Browser).
Effect of coenzyme Q10 on spinal cord ischemia-reperfusion injury

ParaParesis or paraplegia is a serious complication following thoracoabdominal aortic aneurysm surgery and is a consequence of spinal cord ischemia-reperfusion injury secondary to aortic clamping and declamping.9 A series of processes, including the glutamate-mediated excitotoxicity, inflammation, and apoptosis involved in spinal cord ischemia-reperfusion and oxidative stress, have emerged as key mechanisms of neuronal ischemia-reperfusion injury.14 Ischemia-induced malfunction of the oxidative respiratory chain in mitochondria results in a burst of reactive oxygen species (ROS), and the ROS generated from mitochondria damages ischemic neurons by direct attack on cellular constituents such as lipids and nucleic acids and by acting as a molecular trigger for apoptosis and necrotic cell death.15 Coenzyme Q10 (CoQ10) is an endogenous provitamin present primarily in the mitochondria and plays an important role in the electron transport chain. It participates in aerobic cellular respiration, generating energy in the form of adenosine triphosphate, and serves as a potent antioxidant in lipid membranes and mitochondria.8 Exogenous CoQ10 has been widely applied to dietary supplements, and could be suggested as a therapeutic agent for cardiovascular diseases.12 CoQ10 also possesses neuroprotective properties. Administration of exogenous CoQ10 offers neuroprotective effects in various models of central
Durhan & Aydın / Intermedia International e-Journal, Spring-June – 2020- 7 (12)

Ö Z Ürün iletişimi, markaların tüketiciyle etkili diyalog geliştirebilecekleri güçlü bir pazarlama iletişimi uygulamasıdır. Ürüne ait somut ve soyut faydalardan yola çıkılarak ürünün kendisini konuşturmak ve bir mecraya dönüştürmek, tüketicide ürüne ve markaya yönelik güven duygusu oluşturmada değeri artan bir stratejidir. Bu çalışmada ürün iletişimi ile tüketici güveni arasındaki ilişki sorgulanmıştır. Perakende sektöründe gıda kategorisi özelinde yapılan araştırma Bartın il merkezinde bulunan yerel bir süpermarkette 500 kişinin katılımıyla anket yöntemiyle gerçekleştirilmiştir. Elde edilen verilerin, parametrik testler aracılığıyla analizi yapılmıştır. Ölçeklere ilişkin değerlendirmeler sürecinde keşfedici faktör analizi uygulanmıştır. Ü rün bileşenlerinin ve ambalajın, tüketicilerin ürün seçimlerini etkilediği ve dolayısıyla markaya yönelik gelişen güven boyutunda da etkisi olduğu görülmektedir. Çalışmanın bulguları; ürünün somut özelliklerinin markaya, ürüne ve ambalaja yönelik güven oluşmasında etkili olduğunu ortaya koymaktadır. Ambalajın dikkat çekicilik boyutunun, tüketici güveni üzerinde etkiye sahip olduğu ve marka güveniyle pozitif bir ilişki içerisinde bulunduğu tespit edilmiştir. Alışveriş ortamında ürünle ilgili özel iletişim çalışmalarının, ambalaja yönelik güven ve marka güveninde rol oynadığı ortaya konulmuştur. Ürün iletişimi noktasında vurgulanan güçlü firma mesajı ve ambalajın algılanan kullanım kolaylığı, markaya, ürüne ve ambalaja yönelik güven oluşmasında rol oynamakta ve tüketici güven düzeyini artırmaktadır.
Respostas comportamentais de novilhas leiteiras confinadas submetidas ao sistema de resfriamento adiabático evaporativo

The research aimed to evaluate the influence of evaporative cooling system (AECS) on the behavioral variables of Holstein dairy heifers kept in confinement. Twelve heifers were used, divided into three treatments: 1) ventilation and fogging by AECS when the temperature reached 25°C at any humidity, 2) ventilation and fogging by AECS when the temperature reached 25°C with relative humidity less than or equal to 70% and, 3 without cooling system. The experimental design consisted of a latin rectangle repeated twice. The environmental variables (dry bulb temperature), black globe temperature and relative humidity were collected daily through dataloggers throughout the experiment. In behavioral analysis were observed postures (standing and lying), the activities of the animals and the places where they were in the pen, in 15 minute intervals. However, there was no difference in the behavioral variables of animals between treatments.
INVESTIGATING THE BARRIERS OF TEACHER-LEARNER DISTANCE COMMUNICATION: ENGLISH DEPARTMENT OF MOHAMMED 1 UNIVERSITY AS A CASE STUDY

The spread of the Covid 19 Pandemic all over the world has obliged educational institutes to shift towards online education. Therefore, the ways and strategies of teacher-learner communication have changed also, and technology-based communication tools have become the alternative way of classroom communication. This paper attempts to shed light on the barriers of teacher-learner distance communication strategies in the Moroccan university context. The research draws on a quantitative analysis of a questionnaire of 10 multifaceted questions addressed to English Department Students of Mohammed 1st University. The survey sheds light on: a) the communicative strategies used by teachers and students during and after the course, b) the difference between face-to-face and distance communication, and c) teachers' feedback of questions and inquiries after the course. The results of the study reveal the shortcomings of distance education communication in the Moroccan University. Some of the main barriers are: 1) the lack of real-time interaction between students and their instructors, 2) the absence of collaborative and group activities, and 3) students often do not receive teachers’ feedback of their inquiries. The research ends by stating some strategies to facilitate teacherlearner distance communication.
PSRR-enhanced low-dropout regulator

A power supply rejection ratio (PSRR) enhancement technique for the low-dropout regulator (LDR) is presented. This proposed LDR with a bandgap reference has been fabricated in a 0.35 µm CMOS process, and its active chip area is 0.1978 mm2. From experimental results, the proposed LDR provides a stable output voltage without the output capacitor and achieves over a PSRR of −76 dB at 100 kHz for the output current within 0–150 mA. In addition, the output integrated noise is 21.45 µVrms within a frequency between 22 Hz and 80 kHz.
Workplace Evaluation of a Disposable Respirator in a Dusty Environment

Abstract Industrial hygiene sampling for total airborne particulate during the manufacture of a concrete patching compound revealed concentration estimates which exceeded the ACGIH TLV of 10 mg/m3. These results led to recommendations for the implementation of improved engineering controls and the initiation of a respiratory protection program on an interim basis. The 3M 9910 disposable respirator was selected for use based upon a knowledge of existing total dust concentrations and a review of assigned protection factors for the various classes of respiratory protective devices. A follow-up evaluation by NIOSH investigators revealed that use of 3M 9910 respirators reduced total dust exposures to levels considered to be acceptable, but that the assigned protection factor derived from a set of workplace protection factors was less than anticipated. The results of this study suggest the need for inmask sampling after the implementation of respiratory protection to ensure, in a direct manner, that the particu.
Patients' Experiences Before, During, and After a Colonoscopy Procedure

Although colonoscopy is a common examination, there is limited research focusing on how patients experience this procedure. It is important that a colonoscopy is tolerated, as it may lead to lifesaving diagnostics and treatment. This study aims to explore adult patients' experience of undergoing a colonoscopy regarding the time prior to, during, and after the procedure. This was a qualitative study with individual interviews (n = 24) and a purposeful sample that was analyzed using thematic analysis. The analysis revealed four themes. The first, “making up one's mind,” describes how the participants gathered information and reflected emotionally about the forthcoming procedure. The hope of clarification motivated them to proceed. In the theme “getting ready,” self-care was in focus while the participants struggled to follow the instructions and carry out the burdensome cleansing. The next theme, “going through,” illuminates' experiences during the colonoscopy and highlights the importance of feeling involved and respected. The last theme, “finally over,” is characterized by experiences of relief, tiredness, and a desire for clarity. The healthcare professionals' ability to meet the participants' needs is vital, given that the experiences are highly individual. These findings contribute to a variegated image of how patients experience the process of undergoing a colonoscopy.
Buckling and ultimate load prediction models for perforated steel beams using machine learning algorithms

Large web openings introduce complex structural behaviors and additional failure modes of steel cellular beams, which must be considered in the design using laborious calculations (e.g., exercising SCI P355). This paper presents seven machine learning (ML) models, including decision tree (DT), random forest (RF), k-nearest neighbor (KNN), gradient boosting regressor (GBR), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and gradient boosting with categorical features support (CatBoost), for predicting the elastic buckling and ultimate loads of steel cellular beams. Large datasets of finite element (FE) simulation results, validated against experimental data, were used to develop the models. The ML models were fine-tuned via an extensive hyperparameter search to obtain their best performance. The elastic buckling and ultimate loads predicted by the optimized ML models demonstrated excellent agreement with the numerical data. The accuracy of the ultimate load predictions by the ML models exceeded the accuracy provided by the existing design provisions for steel cellular beams published in SCI P355 and AISC Design Guide 31. The relative feature importance and feature dependence of the models were evaluated and discussed in the paper. An interactive Python-based notebook and a user-friendly web application for predicting the elastic buckling and ultimate loads of steel cellular beams using the developed optimized ML models were created and made publicly available. The web application deployed to the cloud allows for making predictions in any web browser on any device, including mobile. The source code of the application available on GitHub allows running the application locally and independently from the cloud service.
Optical Time Domain Reflectometry For Local Strain Measurements

In recent years Optical Time Domain Reflectometry (OTDR) and, more generally, optical time delay methods, have been applied to measure optical fiber strain and elongation. These techniques have been recognized as having significant potential in the area of non-destructive testing and analysis of structures. However, limitations such as the lack of local strain monitoring capabilities and poor spatial resolution have kept OTDR based fiber optic sensors from becoming more popular in the Non-Destructive Evaluation (NDE) industry. Significant advances and improvements regarding these two main limitations have been achieved. Extremely fast OTDR systems which are capable of launching optical pulses with Full Width Half Maxima (FWHM) on the order of 100 ps and temporal stabilities of less than 2 ps have recently made spatial resolutions in the sub-millimeter range possible. Furthermore, techniques have been developed which allow quasi-distributed local strain sensing using a single optical fiber. Such systems rely on the physical segmentation of the fiber through the use of partially reflective air-gap splices which provide marker reflections. The positions in time of these reflections are individually monitored to obtain local strain measurements. In this report we present an analysis of such systems, and discuss experimental results obtained using a picosecond resolution OTDR. It is shown that it is possible to measure strain locally with a resolution on the order of 0.0001 m/m with a gage length as small as a few centimeters. A discussion on how to further improve upon the performance by taking advantage of reentrant fiber loop technology is also given.
Deep Learning for Toponym Resolution: Geocoding Based on Pairs of Toponyms

Geocoding aims to assign unambiguous locations (i.e., geographic coordinates) to place names (i.e., toponyms) referenced within documents (e.g., within spreadsheet tables or textual paragraphs). This task comes with multiple challenges, such as dealing with referent ambiguity (multiple places with a same name) or reference database completeness. In this work, we propose a geocoding approach based on modeling pairs of toponyms, which returns latitude-longitude coordinates. One of the input toponyms will be geocoded, and the second one is used as context to reduce ambiguities. The proposed approach is based on a deep neural network that uses Long Short-Term Memory (LSTM) units to produce representations from sequences of character n-grams. To train our model, we use toponym co-occurrences collected from different contexts, namely textual (i.e., co-occurrences of toponyms in Wikipedia articles) and geographical (i.e., inclusion and proximity of places based on Geonames data). Experiments based on multiple geographical areas of interest—France, United States, Great-Britain, Nigeria, Argentina and Japan—were conducted. Results show that models trained with co-occurrence data obtained a higher geocoding accuracy, and that proximity relations in combination with co-occurrences can help to obtain a slightly higher accuracy in geographical areas with fewer places in the data sources.
Optimised data reduction for the AMBER/VLTI instrument

Context. The signal processing of multi-aperture monomode interferometers using multiaxial recombination, such as AMBER/VLTI, makes use of the modeling of the fringes in the image space called the “P2VM method”. This method was only validated on simulated data. Aims. We aim to validate the P2VM method on-sky, and to use the knowledge acquired during more than three years of use of the instrument to provide improved data processing algorithms. Methods. We compare the on-sky results of the P2VM algorithm with those provided by the standard, well known, and robust Fourier method. Results. We first prove that the current implementation of the P2VM method used in the AMBER data reduction is biased for intermediate and low flux measurements. We determine the physical origin of these biases, then modify the data model accordingly, and introduce an improved noise model. We demonstrate that the P2VM method, together with the more realistic data and noise models, give results that are now in accordance with those provided by the Fourier method.
Switched-inductor VCO based on tapped vertical solenoid inductors

A new switched-inductor voltage controlled oscillator (VCO) scheme based on tapped vertical solenoid inductors is presented. With tapping ports, various effective inductances are selected by switches for multi-band operation. As a proof of concept, two VCOs, with one and two tapping ports separately, are implemented in a 0.18 m 1P6M standard CMOS. Because of the vertical structure of the inductors, the new scheme consumes much less area than the conventional switch-inductor VCOs. The measured frequency bands of the VCOs are located between 1.96 and 3.49 GHz, and the measured phase noise at 1 MHz offset is between 115.4 and 118.5 dBc/Hz across all bands under power consumption of 14.4 mW (8 mA, 1.8 V).
Right‐ and left‐handed transmission line resonators and filters for dual‐band applications

The combination of right‐handed and left‐handed transmission line sections enables a novel design strategy for miniature dual‐band resonators and filters in the GHz‐range with a wide stopband at higher frequencies. The design procedure is described, and experimental results for five ceramic multilayer samples of two different designs are presented. All measured data agree well with the results of the electromagnetic simulations and display a high reproducibility of the low‐cost technology used for the implementation of the devices. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 629–633, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24117
Effects of Electronic Devices and Internet Addiction on Sleep and Academic Performance Among Female Egyptian and Saudi Nursing Students: A Comparative Study

Introduction The widespread availability of Internet access and increasing rate of electronic device usage has helped enlighten the world community through copious applications, information resources, and other benefits. However, both the lack of controlled behavior and excessive Internet usage have resulted in a variety of difficulties that can hinder user achievement in many areas. Objectives This study investigated the prevalence of Internet and electronic device addiction among Egyptian and Saudi nursing students, with the aim of identifying any effects on sleep and academic performance. Methods A cross-sectional comparative research design was employed among a systematic random sample comprised of 920 Egyptian and Saudi female nursing students. All participants completed the Young-Internet Addiction Test (IAT), Mobile Phone Involvement Questionnaire (MPIQ), and Epworth Sleepiness Scale (ESS). Results Severe Internet Addiction (IA) detected in 42.69% and 10.31% of Saudi and Egyptian participants, respectively. However, Saudi participants were more likely to report high rates of mobile phone usage (P < 0.001), while Egyptian participants tended to score higher on the ESS (17.47 ± 3.99 vs. 16.8 ± 3.83; P = 0.024). For all participants, IAT and MPIQ scores were correlated with ESS results, while IA was specifically associated with poor academic performance. Finally, MPIQ scores were inversely correlated with academic performance for Saudi participants. Conclusion Smartphone and Internet addiction were notable problems for the Egyptian and Saudi nursing students investigated in this study. Importantly, these conditions adversely affect academic performance and other activity engagement in addition to inducing excessive daytime sleepiness.