Miracle-dz/UniFAR-FTUs huggingface dataset:
Leakage and breakdown mechanisms of GaN vertical power FinFETs

This work studies the leakage and breakdown mechanisms of 1.2 kV GaN vertical power FinFETs with edge termination. Two competing leakage and breakdown mechanisms have been identified. The first mechanism is dominated by the electric field, with the leakage current dominated by the electric field in the drift region and destructive breakdown voltage by the peak electric field at the edge termination. The second leakage and breakdown mechanism is controlled by an energy (or potential) barrier in the fin channel. This energy barrier suffers from the drain-induced barrier lowering (DIBL) effect and is highly dependent on gate/drain biases, fin geometries, and GaN/oxide interface charges. The electrons injected into the drift region due to the DIBL effect further lead to trap-assisted space-charge-limited conduction, which results in a nondestructive early breakdown. The barrier height in the fin channel determines which mechanism is dominant; the same device could show either destructive or nondestructive breakdown at different gate biases. To enable the normally off power switching, it is important to suppress the leakage from the second mechanism and maintain a sufficiently high energy barrier in the fin channel up to high drain voltages. Finally, the key device parameters determining the energy barrier in the fin channel have been identified. The findings in this work provide critical device understanding and design guidelines for GaN vertical power FinFETs and other “junctionless” vertical high-voltage power transistors.This work studies the leakage and breakdown mechanisms of 1.2 kV GaN vertical power FinFETs with edge termination. Two competing leakage and breakdown mechanisms have been identified. The first mechanism is dominated by the electric field, with the leakage current dominated by the electric field in the drift region and destructive breakdown voltage by the peak electric field at the edge termination. The second leakage and breakdown mechanism is controlled by an energy (or potential) barrier in the fin channel. This energy barrier suffers from the drain-induced barrier lowering (DIBL) effect and is highly dependent on gate/drain biases, fin geometries, and GaN/oxide interface charges. The electrons injected into the drift region due to the DIBL effect further lead to trap-assisted space-charge-limited conduction, which results in a nondestructive early breakdown. The barrier height in the fin channel determines which mechanism is dominant; the same device could show either destructive or nondestructive bre.
Cellular functions of Rab GTPases at a glance

ABSTRACT Rab GTPases control intracellular membrane traffic by recruiting specific effector proteins to restricted membranes in a GTP-dependent manner. In this Cell Science at a Glance and the accompanying poster, we highlight the regulation of Rab GTPases by proteins that control their membrane association and activation state, and provide an overview of the cellular processes that are regulated by Rab GTPases and their effectors, including protein sorting, vesicle motility and vesicle tethering. We also discuss the physiological importance of Rab GTPases and provide examples of diseases caused by their dysfunctions. Summary: Rab GTPases and their effectors control intracellular membrane traffic and thus regulate numerous physiological processes, including protein sorting, vesicle motility and vesicle tethering.
Research on Stabile Tele-operated UUV System Based on Neural Networks

A design of the state-feedback controller is given for a tele-operated unmanned underwater vehicle system in this paper. The proposed system with unmanned underwater vehicle, mother-ship, and remote platform can be tele-operated through the radio communication systems. However, time delay on the radio communication systems may make the proposed system unstable. Therefore it is a critical issue to deal with the time delay effect occurring in the proposed system. Based on an uncertain time-delayed model of the proposed system, a state-feedback controller was designed to stabilize it. In addition, both cases with constant and varying time delay are thoroughly considered and exhaustively studied in this paper. Finally, results of simulation prove the feasibility and efficiency of the proposed approach.
The Effect of the Arab Boycott on Israel

Recent progress towards a comprehensive peace in the Middle East has led to a relaxation of the enforcement of the Arab economic boycott of Israel. This in turn has led to the entry of all the major Japanese and Korean automobile manufacturers into the Israeli market. In this paper, we examine the e(cid:11)ect of the Arab economic boycott on this market. Using recent advances in estimating discrete-choice models of product di(cid:11)erentiation, we estimate that had the boycott continued, the welfare loss per purchaser would have been approximately $790 in 1994. This bene(cid:12)t can be interpreted as a peace dividend. Since approximately 113,000 new automobiles were sold in 1994, the welfare gain to consumers was more than $89 million that year
An Introduction to Pseudorandom Number Generator

R andom numbers are important in every aspect of cryptography. We are evaluating the basic principles which are essential in the design of uniform random number generators, their most important quality requirements, their theoretical study, and their practical testing. National Institute of Standards and Technology (NIST) statistical test suite is the best test suite provided to test the accuracy of randomness of any Pseudo-random number generator. As the time passes the problem of generating unpredictable random sequences become a matter of research.
Inflammation-sensitive plasma proteins are associated with future weight gain.

Cross-sectional studies have associated obesity and other components of the so-called metabolic syndrome with low-grade inflammation. The temporal and causal relations of this association have not been fully explored. This study explored whether elevated levels of inflammation-sensitive plasma proteins (ISPs) (fibrinogen, orosomucoid, alpha1-antitrypsin, haptoglobin, and ceruloplasmin) are associated with future weight gain. Five ISPs were measured in 2,821 nondiabetic healthy men (38-50 years of age) who were reexamined after a mean follow-up of 6.1 years. Future weight gain was studied in relation to the number of elevated ISPs (i.e., in the top quartile). The proportion with a large weight gain (75th percentile >/= 3.8 kg) was 21.0, 25.9, 26.8, and 28.3%, respectively, among men with none, one, two, and three or more ISPs in the top quartile (P for trend 0.0005). This relation remained significant after adjustments for weight at baseline, follow-up time, height (at baseline and follow-up), physical inactivity (at baseline and follow-up), smoking (at baseline and follow-up), high alcohol consumption, and insulin resistance. The relations were largely similar for all individual ISPs. Elevated ISP levels predict a large weight gain in middle-aged men. This relation could contribute to the relation between inflammation, the metabolic syndrome, and cardiovascular disease.
Automated, Quantitative Analysis of Histopathological Staining in Nuclei

Technological advances have allowed the generation of high-throughput imaging of tissue sections. However, the analysis of these samples is typically still performed manually by one or multiple pathologists. We present a novel statistical model for the automated, quantitative analysis of these images. Our approach requires minimal tuning and allows recapitulation of estimates of staining strength in the nuclei of tumor cells as estimated by the gold standard. Besides, it compares favorably to other quantitative approaches available in the public domain.
Linguagem em idosos com doença de Alzheimer: uma revisão sistemática

With increasing life expectancy, dementias have been affecting the population, and Alzheimer's disease is the most common. This disease is defined by a gradual disappearance of memory and other cognitive functions, including language. Human language is important to establish interpersonal connections and to promote an individual social inclusion. This article aimed to perform a systematic review regarding scientific studies on the association between Alzheimer's disease and language. Articles were researched in three databases: Scielo, Lilacs and Bireme. The main bibliographic search descriptors were: Alzheimer's Disease, Language and Communication. The research was conducted from October to December 2013. The final sample was formed by 07 articles, including those that characterized the language in Alzheimer's Disease at different stages. Through this study results, it was possible to verify changes in language in all disease stages and the importance of early identification of such changes. This identification can provide time to the patient and their family members to program and organize their future, by seeking support services to the patient, as well as aid in the individual communication process and quality of life. These findings point to the importance of knowledge of the main changes shown by individuals with Alzheimer's disease, such as language, cognitive or behavioral changes. The development of studies that address the relation between tests used to identify the main language disorders in individuals with Alzheimer's disease is essential.
An intelligent RFID data predicting method based on BP-adaboost

Combinatorial Radio Frequency Identification (RFID) benchmarking test methodology is proposed to instruct users to deploy RFID real-life systems by giving reliable benchmark data. However, it is very inefficient, since collecting RFID data is usually very time-consuming. With the rapid increase of RFID components, combinatorial RFID benchmarking tests get more and more expensive. To address this problem, an intelligent RFID data predicting method is proposed. The predicting model for each reader antenna in the RFID system is learnt from a small set of real RFID data by the BP-Adaboost algorithm. The model then is used to produce highly accurate RFID reading results at different antenna deployments. The RFID system performance can be estimated from these reading results, which can be used to help users choose the suitable RFID system for certain application. Conducted experiments showed that such predicting model produced RFID data with an accuracy over 92%, and can be used to quickly find out improper RFID components and systems for different applications in a very short time.
Assessment of High School Football Coaches in Tennessee

Jason Smith is a current football, basketball and baseball coach in the middle Tennessee area and part of the Tennessee State Sports Athletic Association (TSSAA). He is also a tenured professor in at Tennessee State University and Cumberland University in Nashville, TN teaching in the Human Performance of Sports Science with a concentration on Physical Education and Sports Coaching. Building everlasting relationships with his student-athletes has given him the strength as well as empathy in many situations to create a successful path for others. His passion is teaching and coaching all ages and creating opportunities for success for future teachers, coaches, and mentors. His ability to provide leadership in developing coaches has been proven as many of the younger coaches in Tennessee has learned from his expertise in the field of coaching. Sports coaching have been considered a traditional and doctrinal field that is often oriented with basic instructions of body movement, kinesiology, and motivational factors for success. There have been theories about the “best” offensive and defensive philosophies across the country also varying for age and geographical settings. The physical training of the body and mind is both and art and science that coaches search for to become successful. While the systems, methods, and philosophies have been improved and adapted to the game itself many coaching are searching for success for their program. Through my own experience as a coach, there really is not a “perfect system”, but there are some fundamental strategies, rules, and guidelines that will help any coach become successful. My intention is to provide a framework or coaching model to develop coaches at any stage of their career. Coaching is inquiry-based and extremely personal. The goal or aim of all coaches is to develop the athlete to their maximum potential creating growth and understanding, thus producing individual success, team success, and organizational success.
DC-DC Converter Topologies for Electric Vehicles, Plug-in Hybrid Electric Vehicles and Fast Charging Stations: State of the Art and Future Trends

This article reviews the design and evaluation of different DC-DC converter topologies for Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs). The design and evaluation of these converter topologies are presented, analyzed and compared in terms of output power, component count, switching frequency, electromagnetic interference (EMI), losses, effectiveness, reliability and cost. This paper also evaluates the architecture, merits and demerits of converter topologies (AC-DC and DC-DC) for Fast Charging Stations (FCHARs). On the basis of this analysis, it has found that the Multidevice Interleaved DC-DC Bidirectional Converter (MDIBC) is the most suitable topology for high-power BEVs and PHEVs (> 10kW), thanks to its low input current ripples, low output voltage ripples, low electromagnetic interference, bidirectionality, high efficiency and high reliability. In contrast, for low-power electric vehicles (<10 kW), it is tough to recommend a single candidate that is the best in all possible aspects. However, the Sinusoidal Amplitude Converter, the Z-Source DC-DC converter and the boost DC-DC converter with resonant circuit are more suitable for low-power BEVs and PHEVs because of their soft switching, noise-free operation, low switching loss and high efficiency. Finally, this paper explores the opportunity of using wide band gap semiconductors (WBGSs) in DC-DC converters for BEVs, PHEVs and converters for FCHARs. Specifically, the future roadmap of research for WBGSs, modeling of emerging topologies and design techniques of the control system for BEV and PHEV powertrains are also presented in detail, which will certainly help researchers and solution engineers of automotive industries to select the suitable converter topology to achieve the growth of projected power density.
Acute histological changes of the lung after experimental Fontan circulation in a swine model

Summary Background Histological changes of the lungs were studied after the establishment of a modified total cavopulmonary connection (TCPC) without the use of cardiopulmonary bypass (CPB) or other means of temporary bypass on a swine model. Material/Methods 8 open chest-anesthetized pigs Landrace × Large White pigs (mean weight 43kg, mean age 4.5 months) underwent TCPC by the use of an appropriate size Y-shaped conduit connecting the superior and inferior caval veins (end-to-end anastomosis) to the pulmonary trunk (end-to-side anastomosis). After sternotomy, a wedge resection of the lung parenchyma was performed at baseline. Hemodynamic stability was sustained after TCPC establishment and 2 hours later another wedge resection of the lung was performed (from the same anatomic area). Histological studies were conducted by hematoxylin and eosin staining. Results All samples (n=8) at baseline were consistent with normal lung parenchyma. After the establishment of TCPC, all samples (n=8) revealed moderate mononuclear infiltration adjacent to pulmonary alveoli and bronchioles, findings compatible with bronchiolitis. Conclusions In a normal swine model, 2 hours after the establishment of Fontan circulation without the use of CPB, pathologic examination of the lungs revealed bronchiolitis. Further research is needed to clarify these findings and the potential implications to the Fontan circulation, either immediate or long-term.
Swedes Can’t Swear: Making Fun at a Multiethnic Secondary School

ABSTRACT During the last decade, Sweden has witnessed a significant increase in public attention concerning the following interrelated linguistic phenomena: (a) a linguistic style labelled “Rinkeby Swedish,” (b) specific “Rinkeby Swedish words” that have been perceived as disparaging in Swedish public debate, and (c) a specific young male immigrant identity indexed by this linguistic style. Drawing on ethnographically collected data and naturally occurring talk in a multi-ethnic Swedish upper secondary school, this article examines a possible shift in language ideology, whereby tabooed words and urban youth styles are not dismissed by the school institution but are incorporated in teaching activities. Furthermore, it is argued that there are reasons to look for other interactional accomplishments than solely identity in the use of urban youth styles. The article shows how identity may be used as a resource in the construction of social hierarchies as well as interactional enjoyment among some male students.
A Security Modeling Approach for Web-Service-Based Business Processes

The rising need for security in SOA applications requires better support for management of non-functional properties in web-based business processes. Here, the model-driven approach may provide valuable benefits in terms of maintainability and deployment. Apart from modeling the pure functionality of a process, the consideration of security properties at the level of a process model is a promising approach. In this work-in-progress paper we present an extension to the ARIS SOA Architect that is capable of modeling security requirements as a separate security model view. Further we provide a transformation that automatically derives WS-Security Policy-conformant security policies from the process model, which in conjunction with the generated WS-BPEL processes and WSDL documents provides the ability to deploy and run the complete security-enhanced process based on Web Service technology.
Refractive Error and Risk of Early or Late Age-Related Macular Degeneration: A Systematic Review and Meta-Analysis

Objective To summarize relevant evidence investigating the associations between refractive error and age-related macular degeneration (AMD). Design Systematic review and meta-analysis. Methods We searched Medline, Web of Science, and Cochrane databases as well as the reference lists of retrieved articles to identify studies that met the inclusion criteria. Extracted data were combined using a random-effects meta-analysis. Studies that were pertinent to our topic but did not meet the criteria for quantitative analysis were reported in a systematic review instead. Main outcome measures Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between refractive error (hyperopia, myopia, per-diopter increase in spherical equivalent [SE] toward hyperopia, per-millimeter increase in axial length [AL]) and AMD (early and late, prevalent and incident). Results Fourteen studies comprising over 5800 patients were eligible. Significant associations were found between hyperopia, myopia, per-diopter increase in SE, per-millimeter increase in AL, and prevalent early AMD. The pooled ORs and 95% CIs were 1.13 (1.06–1.20), 0.75 (0.56–0.94), 1.10 (1.07–1.14), and 0.79 (0.73–0.85), respectively. The per-diopter increase in SE was also significantly associated with early AMD incidence (OR, 1.06; 95% CI, 1.02–1.10). However, no significant association was found between hyperopia or myopia and early AMD incidence. Furthermore, neither prevalent nor incident late AMD was associated with refractive error. Considerable heterogeneity was found among studies investigating the association between myopia and prevalent early AMD (P = 0.001, I2 = 72.2%). Geographic location might play a role; the heterogeneity became non-significant after stratifying these studies into Asian and non-Asian subgroups. Conclusion Refractive error is associated with early AMD but not with late AMD. More large-scale longitudinal studies are needed to further investigate such associations.
Contribuições do Marketing na Integração Economia Compartilhada e Estratégia

Sob o contexto emergente de uma nova realidade chamada economia compartilhada que se baseia em fatores tecnologicos, economicos e sociais, a Administracao precisa identificar novos caminhos. Marketing e Estrategia sao algumas das areas que emergem como contributivas neste novo contexto. Contribuicoes da estrategia apontam para a construcao de valor socialmente compartilhado entre agentes da sociedade. Todavia, questiona-se: como promover o marketing como instrumento integrador da estrategia com a economia compartilhada? O presente ensaio teorico, assume tal fato como ponto central de reflexao e busca por meio da construcao de elos entre a estrategia e a economia compartilhada, salientar quais caminhos podem ser tracados no contexto do marketing, uma vez que este serve como canal entre as empresas e a sociedade. Alguns insights surgem ao longo da discussao e identifica-se que, por exemplo, o marketing colaborativo assume um papel de destaque nesta integracao. Assim, estimula-se reflexoes ainda nao realizadas na area.
Supervised approach of sentimentality extraction from bengali facebook status

Sentiment is the only things that separate human and machine. To simulate the feelings for machines many researchers have been trying to create method and automated the process to extract opinion of particular news, product or life entity. Sentiment Analysis (SA) is a combination of opinions, emotions and subjectivity of a text. Currently SA is the most demanding task in Natural Language Processing. Social networking site like Facebook are mostly used in expressing the opinions about a particular entity of life. Newspaper published news about a particular event and user expressed their feedback in news comments. Online product feedback is increasing day by day. So reviews and opinions mining play a very important role in understanding people satisfactions. Such opinion mining has potential for knowledge discovery. The main target of SA is to find opinions from text extract sentiments from them and define their polarity, i.e positive or negative. In this domain most of the model was designed for English Language. This paper describes a novel approach using Naive Bayes classification model for Bengali Language. Here a supervised classification method is used with language rules for detecting sentiment for Bengali Facebook Status.
A 4-Year-Old Boy With Shortness of Breath

Creative Commons Non Commercial CC-BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits noncommercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). Brief Report