Miracle-dz/UniFAR-FTUs huggingface dataset:
Superjunction MOS devices — From device development towards system optimization

Superjunction devices are enabling very fast switching performance and driving the market especially in applications where efficiency and power densities are key requirements. Two main technology concepts — multiple EPI layers and trench filling — are known. Over the years, a continuous reduction of the area specific on-resistance can be observed, leading to smaller device capacitances and inherent increasing switching speed. To widen the market position even in applications where fast switching transients are critical, a systematic approach is necessary to find an optimum trade-off between EMI and efficiency requirements. This paper presents the actual state of the art of Superjunction device concepts and shows how new MOSFET generations can combine the benefits of compensation devices like low area specific on-resistance and low capacitive losses with the strength of conventional power semiconductors like good control of the switching behavior by the gate resistance and low radiation noise generation.
Optimization of Swirl Brake Design and Assessment of Its Stabilizing Effect on Compressor Rotordynamic Performance

The rotordynamic stability of high pressure compressors is strongly affected by the aerodynamic effects induced by the gas flow through rotor-stator seals. In particular the tangential velocity (swirl) of the gas flowing through the seals is a main destabilizing factor (Childs, 1993) and therefore needs to be minimized. Swirl brakes are well-known devices to reduce the swirl of the leakage at seal inlet, or preswirl. Their effectiveness is function of several geometrical parameters (swirl brake vane dimensions and shape, clearance gap between rotor and stator, seal diameter) and operating parameters (such as rotating speed, gas pressure, temperature, molecular weight, gas swirl upstream of the seal). A CFD study was carried out in order to evaluate the impact of each geometrical parameter on swirl brake performance, starting from a baseline and varying it over a possible design range. The purpose was to identify an optimum design that could achieve a strong preswirl reduction over the widest range of compressor applications, sizes and operating conditions. Swirl brakes developed according to this optimization study were used in a high pressure centrifugal compressor. The full load test performed in 2013 included a direct measurement of the logarithmic decrement, thus providing useful information to validate the outcome of the analysis. A comparison between calculation and test results allowed to verify the effectiveness of swirl brakes, by quantifying the actual preswirl value obtained from the labyrinth seals.
Integrated Antenna Design for Passive X-band RFID Transponder

Fully integrated passive RFID tag is the ideal solution to dramatically reduce the costs and sizes of RFID tags. In order to achieve this goal, three basic requirements are necessary: high gain onchip antenna, high efficiency RF-DC converter and ultra-low power mixed signal circuitry. This paper proposes an asymmetric dipole antenna as the candidate for the on-chip antenna of the fully integrated RFID tags. The proposed antenna has been compared with the standard patch antenna and the symmetric dipole antenna with balun. All antennas in this paper have been investigated by using Sonnet EM solver with the same substrate stack. Simulation results of the prototype antenna demonstrate an over 4dB higher gain than that of the patch antenna at 10GHz and 10 dB higher than symmetric dipole antenna with similar size. Therefore the asymmetric dipole antenna shows as a promising candidate for ultra-low cost and miniature RFID tags.
Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data

This review focuses on dynamic causal analysis of functional magnetic resonance (fMRI) data to infer brain connectivity from a time series analysis and dynamical systems perspective. Causal influence is expressed in the Wiener-Akaike-Granger-Schweder (WAGS) tradition and dynamical systems are treated in a state space modeling framework. The nature of the fMRI signal is reviewed with emphasis on the involved neuronal, physiological and physical processes and their modeling as dynamical systems. In this context, two streams of development in modeling causal brain connectivity using fMRI are discussed: time series approaches to causality in a discrete time tradition and dynamic systems and control theory approaches in a continuous time tradition. This review closes with discussion of ongoing work and future perspectives on the integration of the two approaches.
Visualization of Citizen Science Volunteers' Behaviors with Data from Usage Logs

Web-based citizen science projects collect logs of interactions between volunteers and project websites. In this article, the authors present visualization techniques that can be used to infer volunteer behavior in such projects, using the Galaxy Zoo astronomy citizen science project as a test case. This information could be used to shed light on why volunteers join or leave a project-a greater understanding of these factors could help citizen science project developers better recruit and retain their volunteers.
Fritz J. Roethlisberger Memorial Award Goes to “Let’s Burn Them All: Reflections on the Learning-Inhibitory Nature of Introduction to Management and Introduction to Organization Behavior Textbooks”

The 2015 Fritz Roethlisberger Memorial Award given to the 2014 Journal of Management Education article that best exemplifies innovation in the way we understand how individuals interact in organizations, and thus educate them, has been awarded to Robert Snyder, Professor of Management at Northern Kentucky University, for his article “Let’s Burn Them All: Reflections on the Learning-Inhibitory Nature of Introduction to Management and Introduction to Organization Behavior Textbooks. ” In choosing this article, the Roethlisberger Selection Committee looked beyond classroom methodologies to address more lasting contributions to the field. This year’s award explicitly recognizes the role of textbooks as a means to influence and legitimize a particular worldview. Accordingly, the Committee would also like to acknowledge the contribution of a second article, “Shades
Effects of Heat Stress on the Well-Being, Fertility, and Hatchability of Chickens in the Northern Guinea Savannah Zone of Nigeria: A Review

The paper examines heat stress and its adverse effects as a hindrance to profitable poultry production in the tropics, with emphasis on the Northern Guinea Savannah zone of Nigeria. It elucidates the general negative effects of heat stress on physiological parameters of domestic chickens, and the specific impact of the stress on reproduction in the tropics. The deleterious effects are expressed in poor poultry well-being and reproductive performance. It is concluded that measures aimed at alleviating heat stress in domestic chickens must be adopted in order to enhance reproductive and, consequently, efficiency of modern poultry production in the tropics.
Important Determinants for Fucoidan Bioactivity: A Critical Review of Structure-Function Relations and Extraction Methods for Fucose-Containing Sulfated Polysaccharides from Brown Seaweeds

Seaweeds—or marine macroalgae—notably brown seaweeds in the class Phaeophyceae, contain fucoidan. Fucoidan designates a group of certain fucose-containing sulfated polysaccharides (FCSPs) that have a backbone built of (1→3)-linked α-l-fucopyranosyl or of alternating (1→3)- and (1→4)-linked α-l-fucopyranosyl residues, but also include sulfated galactofucans with backbones built of (1→6)-β-d-galacto- and/or (1→2)-β-d-mannopyranosyl units with fucose or fuco-oligosaccharide branching, and/or glucuronic acid, xylose or glucose substitutions. These FCSPs offer several potentially beneficial bioactive functions for humans. The bioactive properties may vary depending on the source of seaweed, the compositional and structural traits, the content (charge density), distribution, and bonding of the sulfate substitutions, and the purity of the FCSP product. The preservation of the structural integrity of the FCSP molecules essentially depends on the extraction methodology which has a crucial, but partly overlooked, significance for obtaining the relevant structural features required for specific biological activities and for elucidating structure-function relations. The aim of this review is to provide information on the most recent developments in the chemistry of fucoidan/FCSPs emphasizing the significance of different extraction techniques for the structural composition and biological activity with particular focus on sulfate groups.
Balance Principles for Algorithm-Architecture Co-Design

We consider the problem of "co-design," by which we mean the problem of how to design computational algorithms for particular hardware architectures and vice-versa. Our position is that balance principles should drive the co-design process. A balance principle is a theoretical constraint equation that explicitly relates algorithm parameters to hardware parameters according to some figure of merit, such as speed, power, or cost. This notion originates in the work of Kung (1986); Callahan, Cocke, and Kennedy (1988); and McCalpin (1995); however, we reinterpret these classical notions of balance in a modern context of parallel and I/O-efficient algorithm design as well as trends in emerging architectures. From such a principle, we argue that one can better understand algorithm and hardware trends, and furthermore gain insight into how to improve both algorithms and hardware. For example, we suggest that although matrix multiply is currently compute-bound, it will in fact become memory-bound in as few as ten years--even if last-level caches grow at their current rates. Our overall aim is to suggest how to co-design rigorously and quantitatively while still yielding intuition and insight.
Consensus Control for a System of Underwater Swarm Robots

The control of a swarm of underwater robots requires both a control algorithm and a communication system. Unfortunately, underwater communications is difficult at the best of times and so large time delays and minimal information is a concern. The control system must be able to handle a large number of robots without a master control, i.e., a decentralized control approach. This paper describes Consensus control as a way to decentralize. Consensus control allows each robot to know the final goal and then to decide, based on the position of the other robots, its best move to help achieve the goal.
From sipping on a straw to drinking from a fire hose: data integration in a public genome database

Biology is a vast domain. The Mouse Genome Informatics (MGI) system, which focuses on the biology of the laboratory mouse, covers only a small, carefully chosen slice. Nevertheless, we deal with data of immense variety, deep complexity, and exponentially growing volume. Our role as an integration nexus is to add value by combining data sets of diverse types and origins, eliminating redundancy and resolving conflicts. We briefly describe some of the issues we face and approaches we have adopted to the integration problem.
A Coherent and Heterogeneous Approach to Clustering

Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homogeneity of clusters simultaneously. We show that some of the best performing spectral as well as hierarchical clustering algorithms can lead to incorrect clustering when the data is comprised of clusters with different densities or includes outliers. We introduce algorithms based on variants of geodesic distance that capture both coherency and homogeneity of clusters. Such choice of distance measure empowers simple clustering algorithms such as K-medoids to outperform spectral and hierarchical clustering algorithms. To show the theoretical merits of our approach, we present theoretical analysis of a simplified version of the algorithm. We also provide remarkable experimental evidence on the performance of our algorithms on a number of challenging clustering problems.
CONTEXT-AWARE PLATFORM FOR LONG-TERM LIFE STYLE MANAGEMENT AND MEDICAL SIGNAL ANALYSIS

We present a research platform for combined physiological signal acquisition and context-awareness. This platform seeks to be wearable, it has extended battery life, it offers enough computational power to run context-recognition algorithms and it is flexible so that a variable number of sensors can be added to it. So far the system is composed of a wearable physiological signal acquisition device, a variable number of miniature acceleration sensor nodes and a wearable data recording system capable of running context recognition algorithms, integrated in a belt. This paper describes our motivation, design goals and first results of the system and its performance characteristics.
Design Structural Stability Metrics and Post-Release Defect Density: An Empirical Study

This paper empirically explores the correlations between a suite of structural stability metrics for object-oriented designs and post-release defect density. The investigated stability metrics measure the extent to which the structure of a design is preserved throughout the evolution of the software from one release to the next. As a case study, thirteen successive releases of Apache Ant were analyzed. The results indicate that some of the stability metrics are significantly correlated with post-release defect density. It was possible to construct statistically significant regression models to estimate post-release defect density from subsets of these metrics. The results reveal the practical significance and usefulness of some of the investigated stability metrics as early indicators of one of the important software quality outcomes, which is post-release defect density.
The effects of neighborhood disorganization and maternal corporal punishment on behavior problems in early childhood

THE EFFECTS OF NEIGHBORHOOD DISORGANIZATION AND MATERNAL CORPORAL PUNISHMENT ON BEHAVIOR PROBLEMS IN EARLY CHILDHOOD By Julie Ma A body of existing research addresses the influences of neighborhood disadvantage and negative parenting practices on child outcomes. A notable gap in extant literature, however, is the scarcity of research that encompasses the simultaneous effects of neighborhood and parenting processes on early childhood outcomes. Using data from the Fragile Families and Child Wellbeing Study (FFCWS), a longitudinal birth cohort study of nearly 5,000 children, this dissertation explores the effects of neighborhood disorganization (i.e., lack of collective efficacy) and maternal corporal punishment on early externalizing and internalizing behavior problems. Results from cross-sectional multilevel models demonstrate that both neighborhood disorganization and maternal corporal punishment are significant risk factors to behavior problems in early childhood. The indirect neighborhood effect on behavior problems through corporal punishment was not significant, suggesting that empirically, neighborhood collective efficacy and corporal punishment are distinct predictors of early behavior problems. Racial and ethnic differences in the direct effects of neighborhood and parenting processes on behavior problems were only apparent between Hispanic and white children such that the association between collective efficacy and internalizing problem were stronger among Hispanic children than white children. Longitudinal multilevel models indicate the prominence of neighborhood effects starting at early ages—child age was a significant moderator in the collective efficacy and internalizing behavior linkage. The effect of maternal corporal punishment on behavior problems in this sample were not dependent on child age, suggesting the harmful influence of maternal corporal punishment is consistent throughout early childhood. The findings of this study provide substantive implications to social work practice by reinforcing the importance of community-based multilevel prevention and intervention programs that promote both neighborhood collective efficacy and alternatives to parental corporal punishment to prevent early behavior problems.
An Approach to Ranking Participants Based on Relationship Network in E-commerce

In recently years, many people easily access Internet auctions in e-commerce trading. At the same time, network structures like the WWW have become huge and are analyzed on a grand scale. In Internet auctions, users face the problem of really knowing the credit and trustworthiness of participants, and the simple rating mechanism widely used in Internet auctions fails to represent this accurately. This paper proposes participant ranking methods based on relationships in Internet auctions. Our algorithm called "Auction Network Trust (ANT)" employs HITS's techniques and Internet auction data. At this stage, we successfully implemented a crawler for Internet auction sites and compared our algorithm to a reputation value of Internet auctions with several approaches such as user rankings. Furthermore, our work possesses a network analyzing system on a larger trading network that predicts which buyers and sellers are active and demonstrate better behaviors. Our experiments show many behaviors in the Internet auctions and that ANT presents different scores from HITS on the WWW.
Investigations into Privacy and other Aspects of a Real-Time Distributed Marks Collection System

The real -time collection of labor atory marks gives the opportunity to save lecturer time and, as a side effect, possibly improve the early detection of students at risk. However there may be adverse consequences for student and demonstrator privacy. This paper presents a distributed mark s-collection system we have built. It captures marks in situ in the laboratory from about 650 students enrolled over two units. The web -based system, constructed using the Teachers’ and Learners’ Collaborascope software, has proved highly robust. We also d iscuss our investigations into privacy concerns.
Reducing Exploration by Closing Enclosures in Cluttered State Space

In cluttered state space, agent is very likely to become trapped in these enclosures formed by obstacles. We proposed an approach to discover the openings of enclosures based the state trajectories that agent moved, then the openings of enclosures are closed by virtual obstacles to avoid agent entering these enclosures again in subsequent learning. Since large amount of episodes are included in learning process, the accumulative reduced exploration by our method are significant. Moreover, agent would have higher learning efficiency due to avoid cycle behavior in these enclosures. The experiments on Maze problem show the applicability and effectiveness of our method. Keywords-state Space; enclosure; opening; vitual obstacle; exploration;
“You excluded us for so long and now you want us to be patriotic?”: African American Women Teachers Navigating the Quandary of Citizenship

Abstract This qualitative study focuses on how 5 African American women social studies teachers utilized their experiential knowledge and understanding of history to make sense of the construct of citizenship. Drawing from Black feminism, this study asks how African American women social studies teachers define and teach the construct of citizenship. Multiple intersections of the participants’ identities impacted the ways in which they understood and taught citizenship to their students. Because traditional notions of citizenship failed to align with their experiences as African American women, they reinterpreted citizenship as based within their respective communities through the creation of “free spaces. ” These transformative views of citizenship provide a framework into how complex perspectives on citizenship are being enacted within social studies classrooms.
Improve recommender systems using certain formulas and fuzzy concept networks

Personalization systems are presented to users to improve suggestion when users are surfing on the net. In order to create accurate model from user webpage contents can be used. Recently some researches were done for adding semantic to user behaviors. However, all users don't show all their interest, but the system must scrutinize user behavior and suggest best prediction for his interest. The best result of this paper is presents a mechanism to improve both user behaviors in web site and exploits fuzzy concept for building automatic model from user interest automatically. Also when the system proposed an item to users in order to calculate item similarity, use collaborative filtering in which to predict user interests uses enriched prediction formula. The results show that the proposed method provides better prediction than traditional methods.
The Planck Surveyor mission: astrophysical prospects

Although the Planck Surveyor mission is optimized to map the cosmic microwave background anisotropies, it will also provide extremely valuable information on astrophysical phenomena. We review our present understanding of Galactic and extragalactic foregrounds relevant to the mission and discuss on one side, Planck’s impact on the study of their properties and, on the other side, to what extent foreground contamination may affect Planck’s ability to accurately determine cosmological parameters. Planck’s multifrequency surveys will be unique in their coverage of large areas of the sky (actually, of the full sky); this will extend by two or more orders of magnitude the flux density interval over which mm/sub-mm counts of extragalactic sources can be determined by instruments already available (like SCUBA) or planned for the next decade (like the LSA-MMA or the space mission FIRST), which go much deeper but over very limited areas. Planck will thus provide essential complementary information on the epoch-dep.
Kannabisaren terapiarako erabilera mugimenduaren asalduretan

Aurkitu ostean egin izan diren ikerkunzek agerian utzi dute endokannabinoideoek funtzio fisiologikoetan duten parte-hartzea. Hain zuzen ere, sistema honen osagaiak (estekatzaile endokannabinoideoak, hartzaileak, biosintesirako eta degradaziorako proteinak) badaude mugimendua kontrolatzen duten garuneko zirkuitu eta nukleoetan (gongoil basaletan) eta ondorioz, parte hartzen dute funtzio motorraren erregulazioan, batez ere dopaminaren maila modulatuz. Bestalde, gongoil basaletan sistema endokannabinoideoan aldaketak deskribatu dira seinale dopaminergikoa gutxitua dagoenean, Parkinsonen gaixotasunean gertatzen den bezala. Horregatik, lanabes berri bezala proposatu da mugimenduaren asaldurak tratatzeko sistema endokannabinoideoaren modulazioa.
International survey on the Dance Dance Revolution game

Despite the growing popularity of physically interactive game-playing, no user studies have been conducted on dance gaming (one of the most popular forms of playing via full-body movements). An online questionnaire was used to study various factors related to Dance Dance Revolution (DDR) gaming. In total, 556 respondents from 22 countries of ages 12 to 50 filled in a questionnaire which examined the players' gaming background, playing styles and skills, motivational and user experience factors, social issues, and physical effects of dance gaming, and taking part in dance-gaming related activities. The results show that playing DDR has a positive effect on the social life and physical health of players, as it improves endurance, muscle strength and sense of rhythm, and creates a setting where new friends can be found.