Miracle-dz/UniFAR-FTUs huggingface dataset:
Second-Order Sliding-Mode Current Controller for LC-Coupling Hybrid Active Power Filter

In this article, a second-order sliding-mode control (SOSMC) based on supertwisting controller for LC-coupling hybrid active power filter (LC-HAPF) is proposed. Among the literatures review studies, hysteresis-based current controller, which is a special implementation of sliding-mode control, is usually used due to its simplicity, robustness, and good dynamic performance for reference tracking. However, it generates a nonfixed switching frequency for the power filter, which leads to undesirable harmonics problem. The proposed SOSMC ensures the good robustness and dynamic performance of using the conventional sliding mode control with an improved steady-state performance and disturbance rejection capability. In addition, with the help of supertwisting controller, the proposed SOSMC can achieve fixed switching frequency characteristic. First, the control objective and the design methodology of sliding surface are discussed and given in this article. Second, a detailed parameter design procedure under stability, system parameter variation, distorted grid voltage, and grid frequency variation consideration is provided. Then, experimental results on a three-phase four-wire LC-HAPF are carried out to verify the steady-state and dynamic performances of the proposed SOSMC compared with other representative current controllers. Finally, the disturbance rejection capability under different grid conditions of the proposed SOSMC is also verified by experimental results.
DPSN: standardizing the short names of amplicon-sequencing primers to avoid ambiguity

Background Amplicon sequencing is the most widely used sequencing method to evaluate microbial diversity in virtually all environments. Thus, appropriate and specific primers are needed to amplify amplicon regions in amplicon sequencing. For this purpose, the community currently uses probeBase, which curates rRNA-targeted probes and primers. Main Body We found that 63.58% of the primers in probeBase have problematic issues in the short name, full name, and/or position. Furthermore, the current convention for short names causes ambiguity. We here introduce our new Database of Primer Scientific Names (DPSN), which is a manually curated database for the 173 primers in probeBase complete with a new short name convention. Building on the work of probeBase, we provide a more user-friendly and standardized system. The new short primer naming convention has three basic components: 5□ position on the sense strand, version, and direction. An additional character for the name of the taxonomic group is also added in front of the name for convenient use. Furthermore, DPSN contains primers for large subunit as well. In order to separate them from the primers for small subunit, a header character is also recommended. Conclusion All 173 primers in probeBase were corrected according to this new rule, and are stored in DPSN, which is expected to facilitate accurate primer selection and better standardized communication in this field. Database URL The DPSN database is available in a user-interactive website at http://dpsn.leidailab. cn/
Conditional Analysis Cakewalk

Summary Sequential conditional analysis is an important tool for identifying the unique signals in single-variant association analysis between genomic variants and various phenotypic outcomes. With large datasets, it is tedious and time-consuming to manually run the sequential steps which require the association analysis, computation of linkage disequilibrium (LD) between the variants, generation of a visualization graphic, and identification of the “top hit” to be inserted as an additional covariate for the next iteration. The Conditional Analysis Cakewalk automates this process, making it easy and fast, while only requiring user input in the initial configuration steps. Availability and Implementation The Conditional Analysis Cakewalk is implemented as a Linux shell script utilizing MMAP or PLINK and LocusZoom. Source code and documentation are available at https://github.com/jennetics/Cakewalk.
Self-Adaptive Execution of Data-Aware Workflow Processes

Self-adaptive execution of workflow processes by dynamically and autonomously updating their decisions is especially important for improving the quality of business management. However, the existing methods neglect the impacts of data relationships and temporal constraints on modeling and execution of workflow processes. In this article, based on sprouting graph we propose a new approach for self-adaptive decision-making for dynamic execution of data-aware workflow processes. First, a data-oriented sprouting graph is developed for retrieving information on data-aware workflow processes, so as to eliminate incorrect paths and handle waiting situations. Second, decision point setting and self-adaptive decision strategies are investigated for solving two fundamental decision problems: waiting for information and selecting one among several paths. Third, the whole procedure of automatic implementation is proposed for self-adaptive execution of data-aware workflow processes. Compared with the existing methods, our approach can improve the efficiency of analysis by reducing the model size and can significantly minimize the overall operational cost of the workflow processes.
Dscam gene triplication causes neocortical overinhibition in Down syndrome

A growing number of molecules have been identified as regulators of inhibitory synapse development, but whether dysregulated expression of these molecules contribute to brain disorders is poorly understood. Here we show that Down syndrome cell adhesion molecule (Dscam) regulates the inhibition of neocortical pyramidal neurons (PyNs) in a level-dependent fashion. Loss of Dscam impairs inhibitory neuron development and function. In the Ts65Dn mouse model for Down syndrome, where Dscam is overexpressed, GABAergic innervation of cortical PyNs by chandelier and basket cells is increased. Genetic normalization of Dscam expression rescues the excessive GABAergic innervation and the increased inhibition of PyNs. These findings demonstrate excessive GABAergic innervation and inhibition in the neocortex of Down syndrome mouse model and identify Dscam overexpression as the cause. They also implicate dysregulated Dscam levels as a potential pathogenic driver in related neurological disorders.
Sexual Citizenship Theory and Employment Discrimination among Transgender-Identified People

Employment discrimination remains a consistent and widespread concern among transgender and gender non-conforming (GNC) people. A secondary data analysis was conducted using the Transgender Law Center California Economic Health Survey (n = 646). The aim of this study was to examine workplace discrimination among transgender and gender non-conforming adults. Sexual citizenship theory informed both the grouping of variables and analysis of findings. Bivariate, multivariate, and multivariable statistical tests were conducted to examine problems related to hiring and to various forms of workplace harassment. Analyses revealed that about 67% of respondents reported some kind of workplace mistreatment. Trans men (FtM) were 132.6% more likely to report discrimination in the workplace (chiefly misgendering and privacy breach), while trans women (MtF) were more likely to experience a wider variety of types of discrimination. Respondents out to their co-workers were 292.4% more likely to experiences discrimination. Those with higher income were less likely to need assistance with changing IDs and more likely to pass/blend. Those who were less likely to pass/blend faced higher unemployment. These findings underscore the many ways in which transphobia, cis gender entitlement and transmisogyny shape the lives of trans people and prohibit full citizenship participation in society vis-à-vis the workforce.
Identifying the crystal and electronic structure evolution in tri‐component transition metal oxide nanosheets for efficient electrocatalytic oxygen evolution

Transition metal oxides (TMOs) nanosheets comprised of earth abundant Fe, Co, and Ni elements have been designed. Remarkably, the tri-component NiCoFeO x /Ni foam (NF) electrode delivers a high current density of 100 mA cm − 2 at an overpotential of only ≈ 383 mV for oxygen evolution reaction (OER), with prolonged electrochemical stability. The improved OER activity of NiCoFeO x /NF can be ascribed to the simultaneous incorporation of Ni and Co into FeO x /NF, boosting the intrinsic catalytic activities by altering the crystal and electronic structures. With electron redistribution happening in the tri-component NiCoFeO x /NF, the electron transfer from Co to Ni through the Fe acting as the electron transfer bridge renders Co more acidic (Lewis acid) to activate H 2 O (Lewis base) molecules through Lewis acid-base interaction. By identifying the interactions of Fe, Co, and Ni and electron redistribution in the tri-component TMOs, this study provides new insights into the crystal and electronic structure evolution of tri-component NiCoFeO x catalysts for active electrocatalysis.
Qualifying Vocational Trainers in the Metal and Electrical Industry for Digital Transformation

Digital transformation influences work in many ways at all levels. In this context, the design of effective and efficient production processes is a decisive factor for the economic success of small and medium-sized enterprises in the industrial production sector. In addition to technological and organizational excellence, this requires highly qualified employees. As the vocational training personnel is central for developing the apprentices into future skilled workers, this paper focuses on the changes that occur for the vocational trainers. It describes the development and implementation of a needs-based further training concept, which was supposed to prepare them to promote their competences for understanding and co-designing industrial processes and products in a digitized working environment. Overall, the concrete goals - sensitization for the digital transformation and the selection of digital media in an interactive design - based on the requirement analysis were successfully implemented in the workshops, as shown by the first evaluation results.
AN EAR FOR LANGUAGE

ABSTRACT This study tested whether individual sensitivity to an auditory perceptual cue called amplitude rise time (ART) facilitates novel word learning. Forty adult native speakers of Polish performed a perceptual task testing their sensitivity to ART, learned associations between nonwords and pictures of common objects, and were subsequently tested on their knowledge with a picture recognition (PR) task. In the PR task participants heard each nonword, followed either by a congruent or incongruent picture, and had to assess if the picture matched the nonword. Word learning efficiency was measured by accuracy and reaction time on the PR task and modulation of the N300 ERP. As predicted, participants with greater sensitivity to ART showed better performance in PR suggesting that auditory sensitivity indeed facilitates learning of novel words. Contrary to expectations, the N300 was not modulated by sensitivity to ART suggesting that the behavioral and ERP measures reflect different underlying processes.
Research on Quality Analysis Model of Additional Comments Based on Text Analysis

Based on the idea of text analysis, this study analyzes the relevance of text topics, the emotional consistency of fist comments and additional comments, and the information contained in the text, then get out of the online quality assessment model. The calculation results can reflect the quality of additional comments, helping consumers and businesses to identify important information and make correct judgments.
Relationships between Body Mass Index and Self-Reported Motorcycle Crashes in Vietnam

The relationship between overweight, obesity, or body mass index (BMI) and crashes among drivers of passenger cars, vans, and trucks has been the focus of much research. However, little is understood about this relationship among motorcyclists, particularly motorcycle taxi drivers who tend to work long hours. Motorcycle taxis are an increasingly popular and important mode of travel in many cities, especially in South-East Asia, due partly to the rise of ride-hailing services. This paper assesses the body mass index (BMI) of motorcycle taxi drivers in Vietnam and its impacts on crashes among three types of drivers (traditional, ride-hailing, and hybrid). Data from a structured questionnaire survey of motorcycle taxi drivers conducted in Hanoi, Vietnam were used. Results show that 18.8% of motorcycle taxi drivers were overweight or obese whereas only 1.4% were underweight. Fulltime motorcycle taxi drivers were more likely to be overweight or obese. Results of random effect binary logistic regression show that overweight and obese motorcycle taxi drivers had significantly higher overall and injury crash risks, when compared to normal-weight motorcycle taxi drivers. Results also indicate that hybrid motorcycle taxi drivers had lower overall and injury crash risks when compared to traditional motorcycle taxi drivers.
Review Outcome of Combined Open Reduction and Femoral Shortening Osteotomy for Developmental Dysplasia of the Hip in Children

Background : Reports of the efficacy of Open reduction combined open reduction and femoral shortening osteotomy on children for developmental dislocation of the hip. Surgical outcomes were evaluated clinically and roentgenographically. Methods : We performed a retrospective match-controlled study in which 58 patients, they were surgical femoral shortening osteotomy following Open reduction, Zigzag Osteotomy combined Fibular Allograft. femoral shortening osteotomy and at final follow-up, Deformity of femoral head or neck or acetabulum according to the Severin, Avascular Necrosis according to Kalamchi, Clinical evaluation according to modified McKay criteria. Results : Between 2009 and 2014, Femoral shortening Osteotomy For 58 Hips (all patients operated unilateral side). There were 31 42 (72.4%) were girls and 11 16 (27.6%) were boys. None had preoperative skin or skeletal traction, nor derotational varus or valgus osteotomies. Average age at femoral shortening osteotomy was 29.9 months (range, 14-36 months). Average distance shortening osteotomy was 1.52 cm. Duration of the Follow-up was 28. 6 months (range, 24-62 months); Average age at latest Follow- up 66.3 months (range, 38-85 months). There were 1 (1.7%) Trendelenberg gait. AVN in 9 (15.5%). Subluxation in 2 (3.4%). At lastest result: Excellent in 44 (75.9%), Good in 8 (13.8%), Fair 4 (6.9%), and Poor 2 (3.4%); Satisfy Results (Excellent and Good) of Open reduction and Femoral Shortening in 52 (97.5%). The femoral head or neck or acetabulum were normal in 44 (75.9%) hips. Conclusions : On the basis of this study, the femoral shortening Osteotomy reduce incidence AVN, Re-Dislocation, and and improved Postoperative result.
Building a living economy through modern information decision support systems and UN sustainable development goals

Abstract The sustainable development goals (SDGs) set up by the United Nations in 2015 has mounted significant pressure on world economies and business organizations to achieve them by 2030. We operationalized a case using modern information decision support systems (MIDSS) as a fundamental and supportive mechanism utilizing the shared vision across the value chain of an ecosystem to realize the SDGs. Stakeholder theory has been used to argue that shared and cooperative vision can only enable the entire ecosystem to move towards the identified SDGs for living economy and measure the change over a period. We bid for a framework highlighting the role of MIDSS as enablers for achieving the SDGs in stipulated time. The framework is developed based on thematic classification of the data collected by conducting the 31 semi-structured interviews with key people from the industry through 11 questions. We contend that shared vision and trust focussed on stakeholder view linked with common objective of the value chain can create a baseline to hit the target of SDGs around economic, ecological and societal benefits. The framework is useful for the working executives as it can act as reference plug to support and align the organizational activities towards SDGs.
Zbirka psihologijskih skala i upitnika

Deveti svezak Zbirke psihologijskih skala i upitnika nastavak je visegodisnje tradicije Odjela za psihologiju da aktivnosti djelatnika Odjela i njihovih suradnika u konstruiranju novih te adaptaciji i validaciji postojecih psihologijskih instrumenata ponudi na uvid siroj znanstvenoj i strucnoj javnosti. Zbirka je u tom smislu jedinstvena publikacija koja povecava dostupnost odgovarajucih psihologijskih mjernih instrumenta na hrvatskome jeziku. Velik interes istraživaca, strucnjaka i studenata psihologije i srodnih disciplina iz Hrvatske i susjednih zemalja za koristenjem instrumenata prikazanih u prethodnim svescima Zbirke važan su poticaj Urednistvu da nastavi osiguravati i unaprjeđivati kvalitete Zbirke. Zapravo, kljucni poticaj za pokretanje Zbirke kao edicije 2002. godine bile su ceste zamolbe nasih kolega koji rade u praksi ili na drugim znanstvenim institucijama za integralnim primjercima instrumenata koje smo koristili u svojim istraživanjima i za dodatnim informacijama o njihovoj primjeni i evaluaciji koje se inace iz njihovih sažetih opisa u clancima ne mogu dobiti. Novi, deveti svezak Zbirke ukljucuje devet novih priloga, u cijoj je izradi sudjelovalo jedanaest istraživaca s Odjela, pet studentica, od kojih su tri sad vec bivse studentice Odjela, te jedna suradnica iz druge institucije. Svezak se sastoji od jednoga izvornog testa – Test moralnoga odlucivanja – te osam adaptiranih verzija postojecih instrumenata na drugim jezicima, za koje su autori priloga dobili suglasnost autora izvorne verzije: Kratka skala otpornosti, Oldenburski upitnik sagorijevanja, Skala ovisnosti o vježbanju, Trofaktorski upitnik obrazaca hranjenja, Upitnik kognitivne emocionalne regulacije, Upitnik navijackoga identiteta, Upitnik radnoga pamcenja i Upitnik samokriticnosti i samoohrabrivanja. Prikazani instrumenti pokrivaju sirok raspon konstrukata iz razlicitih podrucja psihologijskih istraživanja. Iako tematski raznoliki, prilozi su, kao i u ranijim svescima Zbirke, ujednaceni po svojoj strukturi i opsegu informacija o instrumentima. Svaki prilog sadrži uvodni dio u kojem je opisana teorijska osnova konstrukta cijem je mjerenju instrument namijenjen, opis samoga instrumenta, ukljucujuci nacin njegove primjene i bodovanja, opis uzorka na kojem je primijenjen instrument, prikaz psihometrijskih znacajki instrumenta, popis osnovne literature i, na kraju, prikaz samoga instrumenta s popratnom uputom ispitanicima. Nadamo se da ce i deveti svezak Zbirke naici na pozitivne reakcije potencijalnih korisnika, odnosno da ce im poslužiti u istraživackom i strucnom radu. Na kraju, srdacno zahvaljujemo na doprinosu i suradnji autorima svih priloga, kao i recenzentima i lektoru, koji su svojim sugestijama znacajno pridonijeli kvaliteti ovoga izdanja.
ParallelLCA : a foreground aware parallel calculator for life cycle assessment

Life Cycle Assessment (LCA), which aims to assess the environmental impacts during the life cycle of a system product (S) (e.g., production of aluminum in Quebec), can be used to compare different systems built with different types of materials to determine which is the least harmful to the environment. The calculation in LCA represents a computational challenge as it is dependent on the size of the system, the number of iterations in the Monte-Carlo simulation, and the number of uncertain variables in the system. First, the solving of a linear system of dimensions in the order of 10,000 equations by 10,000 unknown variables is required for the base case. Second, the building of a graph iterative in nature with minimum dimensions of 10,000 vertices. Third, the computing of a Monte-Carlo simulation requiring several thousands of iterations to converge is to be computed. Finally, a sensitivity analysis which requires the computing of millions of correlations between vectors each having a dimension that is proportional to the number of iterations in the Monte-Carlo simulation. To best solve the computational challenges present in LCA, this research benefits from well established libraries that solve large sparse linear systems and performs large sparse matrix computing. Also, this thesis adopted mathematical optimizations that removed the matrix inverse step from the contribution analysis module, which is very expensive, as well as other algorithmic optimizations that removed the large and variant part of the LCA supply-chain from the matrix component of the various calculation phases. Furthermore, this research experimented with libraries such as OpenMP, MPI, and Apache Spark to parallelize the computation. First, the thesis will discuss the literature regarding these computational opportunities. Second, it will present a proposed LCA calculator for implementing an efficient LCA computation. Finally, it will present the performance of computing the different phases of LCA for various dimensions of the system (S) and concludes with suggestions for improvement and future development.
Effect of change in workplace and family environment on general and mental health of middle-aged working women: A cross-sectional study

The aim of the present work was to assess the health status of middle aged (45 �55 yrs) women working as school teacher. Number of subjects selected for study was 50. An interview schedule with General Health Questionnaire and Psycho Social Stress Scale questionnaire was simultaneously administered to the selected subjects. Results revealed some interesting findings that may be useful in planning future such studies.
An original structural fold underlies the multitask P1, a silencing suppressor encoded by the Rice yellow mottle virus

The Rice Yellow Mottle sobemovirus (RYMV) belongs to the most damaging pathogens devastating rice fields in Africa. P1, a key protein for RYMV, was reported as a potent RNAi suppressor counteracting RNA silencing in plant reporter systems. Here we describe the complete 3D structure and dynamics of P1. Its N-terminal region contains ZnF1, a structural CCCC-type zinc finger strongly affine to zinc and a prominent short helix, rendering this region poorly amenable to structural changes. P1 C-terminal region contains ZnF2, an atypical HCHC-type ZnF that does not belong to any existing class of Zn finger proteins. ZnF2 appeared much less affine to zinc and more sensitive to oxidizing environments than ZnF1, and may serve as a sensor of plant redox status. The structure helped us to identify key residues essential for RYMV infectivity and spread in rice tissues through their participation in P1 oligomerization and folding. Altogether, our results provide the first complete structure of an antiviral silencing suppressor encoded by a virus infecting rice and highlight P1 structural and dynamical properties that may serve RYMV functions to infect and invade its host plant.