Miracle-dz/UniFAR-FTUs huggingface dataset:
Control of Single-Phase Electrolytic Capacitor-Less Isolated Converter for DC Low Voltage Residential Networks

In recent years, there has been a desire to improve electricity generation and consumption, to reach sustainability. Technological solutions today allow a rational use of electricity with good overall performance. Traditionally, from production to distribution, electrical energy is AC-supported for compatibility reasons and easy voltage level transformation. However, nowadays most electric loads need DC power to work properly. A single high-efficiency central AC-DC power converter may be advantageous in eliminating several less efficient AC-DC embedded converters, distributed all over a residential area. This paper presents a new single-phase AC-DC converter using one active bridge (most isolated topologies are based on the dual active bridge concept) and a high-frequency isolation transformer with low-value non-electrolytic capacitors, together with its control system design. The converter can be introduced into future low-voltage DC microgrids for residential buildings, as an alternative to several embedded AC-DC converters. Non-linear control techniques (sliding mode control and the Lyapunov direct method) are employed to guarantee stability in the output DC low voltage with near unity power factor compensation in the AC grid. The designed converter and controllers were simulated using Matlab/Simulink and tested in a lab experimental prototype using digital signal processing (DSP) to evaluate system performance.
Research on the Application of Partial Similarity for a 1-1/2 Axial Compressor

In this paper, a method based on the partial similarity principle is presented to improve the aerodynamic design with low cost and high accuracy for a 1-1/2 axial compressor. By means of this method, during the process of a similar design, the machine Mach number and flowrate coefficient are maintained. The flow similarity between the prototype and its large-scaled alternative was observed, according to a detailed analysis of flow fields of rotor and stator. As well, the relative discrepancies of isentropic efficiency and pressure ratio between two models are 1.25% and 0.4% at design point, respectively. Besides, their performance curves agreed very well in the whole operating range. Moreover, it was also found that the flow similarity between the two models can be maintained under unsteady working conditions. Thereafter, in order to investigate the impact of stability optimization method on the similarity principle, casing treatment with single circumferential groove was applied to these two models. The flow similarity was still maintained and the flowrate near the stall was reduced about 1.1% with negligible deterioration of the overall performance.
Molecular Characterization of MyD88 in Pinctada fucata and its Response to Lipopolysaccharides and Polyinosinic-cytidylic Acid

Myeloid differentiation factor 88 (MyD88) is a key and essential adapter involved in the interleukin-1 receptor (IL-1R) and toll-like receptor (TLR)mediated activation signaling pathway. To investigate molecular characterization of MyD88 and its gene expression profile in response to stimulation by lipopolysaccharide (LPS) and polyinosinic-cytidylic acid (poly (I: C)), we isolated the MyD88 cDNA sequence in Pinctada fucata and analyzed expression patterns using quantitative real-time PCR. Sequence analysis indicated that Pf-MyD88 cDNA is 1463bp in length and contains a1050bp open reading frame that encodes a 349 α peptide. Pf-MyD88 has the highest similarity with homologues of Crassostrea gigas and highly conserved death and toll/IL-1R domains. Furthermore, during LPS and poly (I:C)-stimulated experiments in the gill, peak expression levels of Pf-MyD88 were detected at 2h and 8h with a 1.58-fold and 3.58-fold increase, respectively. The results revealed the existence of a MyD88-dependent signaling pathway in P. fucata and contributed to understanding the potential role of Pf-MyD88 in the TLR/IL-1R-mediated signaling pathway. The IJA appears exclusively as a peer-reviewed on-line open-access journal at http://www.siamb. org.il/. To read papers free of charge, please register online at registration form. Sale of IJA papers is strictly forbidden.
The element‐free Galerkin method for a quasistatic contact problem with the Tresca friction in elastic materials

This paper is proposed for the error estimates of the element‐free Galerkin method for a quasistatic contact problem with the Tresca friction. The penalty method is used to impose the clamped boundary conditions. The duality algorithm is also given to deal with the non‐differentiable term in the quasistatic contact problem with the Tresca friction. The error estimates indicate that the convergence order is dependent on the nodal spacing, the time step, the largest degree of basis functions in the moving least‐squares approximation, and the penalty factor. Numerical examples demonstrate the effectiveness of the element‐free Galerkin method and verify the theoretical analysis.
Evolutionary relationships of two balitorids (Cypriniformes, Balitoridae) revealed by comparative mitogenomics

Balitoridae, a family within the Cypriniformes, inhabit torrential mountain streams in Asia. Although they have long fascinated ichthyologists for their numerous adaptations to this tumultuous environment, the evolutionary history of this group remains poorly understood. In this study, we investigate the evolutionary relationships of the balitorids with particular attention to the phylogenetic placement of two balitorid species, Yaoshania pachychulis and Erromyzon kalotaenia. Both species have extremely limited distributions, they are limited to Mt. Dayaoshan of the Pearl River in China and require dedicated conservation plans. However, little is known about their evolutionary relationships to other balitorids. Here, we examined the evolutionary relationships of Y. pachychulis and E. kalotaenia to each other and other balitorids through sequencing the complete mitochondrial genomes of nine balitorid individuals. For the newly sequenced balitorids, the length of the whole mitogenome, gene arrangement and their base composition are similar to those of other bony fishes. Analyses based on these newly sequenced mitogenomes and an additional 50 previously published mitogenomes show that Y. pachychulis and E. kalotaenia cluster as different clade within the subfamily Gastromyzontinae. The genetic distance between these two species ranges from 0.127 ± 0.003 to 0.132 ± 0.004 which is slightly higher than that between some genera (e.g. the distance between Vanmanenia and Metahomaloptera is 0.127 ± 0.004). Therefore, it is reasonable to assign Y. pachychulis and E. kalotaenia to different genera. Phylogenetic signal assessment suggested that ND1, ND4 and ND5 genes as well as their concatenated subsets perform relatively well in reconstructing the Cobitoidea phylogeny. The divergence time estimation indicated that the balitorids distributed in Mt. Dayaoshan might have originated and evolved following the flattening and uplifting of the Yunnan–Guizhou Plateau during the late Miocene to late Pliocene.
Will to Live: The Fulfillment of Needs for Meaning and Its Relation to Meaning in Life

Bu arastirmanin amaclari cok boyutlu Anlam Ihtiyaci olcegini gelistirmek, faktor yapisini belirlemek ve kendini belirleme kuramini kullanarak anlam ihtiyaci doyumunun yasamin anlami uzerindeki katkisini incelemektir. Baumeister, anlamli yasamin dort adet anlam ihtiyacina (amac ihtiyaci, degerler ve mesrulastirma ihtiyaci, yeterlilik ihtiyaci, oz-deger ihtiyaci) sahip olma ile ortaya cikabilecegini ileri surmektedir. Anlam ihtiyacini olcmek icin 33 ifadeli anlam ihtiyaci olcegi gelistirilmistir. Yasamin anlami, Yasamda Amac testi ile olculmustur. Veriler kolayda ulasilabilir orneklem yontemi ile 355 kisiden toplanmistir. Anlam ihtiyaci olceginin ve yasamda amac testinin yapisal modelleri test edilmeden once olcekler dogrulayici faktor analizi (DFA) ile incelenmistir. Veriler AMOS programi kullanilarak yapisal esitlik modellemesi araciligi ile analiz edilmistir. Anlam ihtiyaci olceginin uc farkli modellemesi test edilmistir. DFA, dort boyutlu anlam ihtiyaci olceginin tek faktor ve iki faktor cozumunu dogrulamistir. Ek olarak, her iki yapisal model data ile iyi uyuma sahip olup, anlam ihtiyaci doyumunun yasamin anlami uzerinde olumlu katkiya sahip oldugunu gostermistir. Amac ihtiyaci doyumunun yasamin anlamlandirilmasinda en onemli yordayici oldugu ortaya cikmistir. Bulgular, anlam ihtiyaci boyutlarinin yasamin anlami uzerindeki aciklayicilik gucunun isiginda tartisilmistir.
Learning to count: A deep learning framework for graphlet count estimation

Abstract Graphlet counting is a widely explored problem in network analysis and has been successfully applied to a variety of applications in many domains, most notatbly bioinformatics, social science, and infrastructure network studies. Efficiently computing graphlet counts remains challenging due to the combinatorial explosion, where a naive enumeration algorithm needs O(Nk) time for k-node graphlets in a network of size N. Recently, many works introduced carefully designed combinatorial and sampling methods with encouraging results. However, the existing methods ignore the fact that graphlet counts and the graph structural information are correlated. They always consider a graph as a new input and repeat the tedious counting procedure on a regular basis even if it is similar or exactly isomorphic to previously studied graphs. This provides an opportunity to speed up the graphlet count estimation procedure by exploiting this correlation via learning methods. In this paper, we raise a novel graphlet count learning (GCL) problem: given a set of historical graphs with known graphlet counts, how to learn to estimate/predict graphlet count for unseen graphs coming from the same (or similar) underlying distribution. We develop a deep learning framework which contains two convolutional neural network models and a series of data preprocessing techniques to solve the GCL problem. Extensive experiments are conducted on three types of synthetic random graphs and three types of real-world graphs for all 3-, 4-, and 5-node graphlets to demonstrate the accuracy, efficiency, and generalizability of our framework. Compared with state-of-the-art exact/sampling methods, our framework shows great potential, which can offer up to two orders of magnitude speedup on synthetic graphs and achieve on par speed on real-world graphs with competitive accuracy.
Effects of using machine translation to mediate the revision process of Korean university students’ academic writing

Abstract In recent years, marked gains in the accuracy of machine translation (MT) outputs have greatly increased its viability as a tool to support the efforts of English as a foreign language (EFL) students to write in English. This study examines error corrections made by 58 Korean university students by comparing their original L2 texts to that of MT outputs. Based on the results of the error analysis, the error types were categorized into 12 categories. Students were divided into three distinctive groups to determine differences among them according to the frequency of errors in their writing. The t-test results reveal that the numbers of errors significantly decreased in the revised versions for most of the error types among all groups. The results of the regression analysis also reveal a positive correlation relationship between the number of changes and the reduction of errors. However, the results also indicate that although all groups made error corrections at similar rates, students who less frequently committed errors in their L2 texts (higher language proficiency groups) generally tended to correct a higher proportion of errors. Based on the findings, pedagogical implications are discussed regarding how EFL teachers can effectively incorporate MT into the classroom.
Single Snapshot DOA Estimation by Minimizing the Fraction Function in Sparse Recovery

Sparse recovery is one of the most important methods for single snapshot DOA estimation. Due to fact that the original l0-minimization problem is a NP-hard problem, we design a new alternative fraction function to solve DOA estimation problem. First, we discuss the theoretical guarantee about the new alternative model for solving DOA estimation problem. The equivalence between the alternative model and the original model is proved. Second, we present the optimal property about this new model and a fixed point algorithm with convergence conclusion are given. Finally, some simulation experiments are provided to demonstrate the effectiveness of the new algorithm compared with the classic sparse recovery method.
Family support and mental health of Latinx children in migrant farmworker families

Abstract Our mixed-method study examined the mental health of Latinx children in migrant farmworker (LMFW) families, assessed whether acculturative stressors contributed to mental health problems, and examined whether family warmth and support counteracted the negative effects of acculturative stressors on mental health. Participants were children aged 6–18 (N = 80, mean age = 11.71, 55% male) participating in two summer Migrant Education Programs in Indiana. Overall, we found support for associations between acculturative stressors and poor mental health in LMFW children utilizing multiple data sources that included child self-reports, teacher reports, and qualitative interviews. We also found evidence in qualitative interviews and teacher reports for the positive association between perceived maternal supportive parenting and children’s mental health. Findings suggested that while LMFW children are vulnerable to anxiety and depressive problems, perceptions of family support (particularly from mothers) are especially salient for their resilience and mental health. Differences by age and child sex are also discussed.
Comparative Assessment of Different Crop Rotation Schemes for Organic Common Bean Production

The aim of the current study was to contribute to the establishment of sustainable organic crop rotation schemes for common bean under mild-winter climatic conditions. Common bean was cultivated according to organic or conventional farming practices during spring-summer in two successive years with crop and treatment during the preceding winter as either: (a) organic broccoli, (b) conventional broccoli, (c) organic faba bean used as green manure, or (d) fallow. Common bean was either inoculated with Rhizobium tropici CIAT 899 or non-inoculated, while faba bean was inoculated or non-inoculated with Rhizobium laguerreae VFLE1. Inoculating faba bean with rhizobia enhanced dry biomass production and biological N-fixing ability in both experimental years. Furthermore, organic farming did not restrict the yield of broccoli compared to conventional practices during the first year, while the reverse was the case in the second year, due to reduced soil N availability. Furthermore, green manure enhanced the fresh pod yield in the following organic crop of common bean in both years. The lowest yield was recorded in organically grown common bean when the preceding winter crop was organically grown broccoli in both years. Rhizobia inoculation of the common bean during the first year slightly increased atmospheric N fixation by common bean.
Frigjørende deltakelse i en forskningssirkel om faget utdanningsvalg

Denne artikkelen handler om hvordan samtalene i deltakerorientert forskning bidrar til å åpne og lukke for frigjørende deltakelse. Deltakerorientert forskning har en demokratisk og emansipatorisk hensikt ved å ta utgangspunkt i deltakernes ulike kunnskaper, erfaringer og praksis. Ny kunnskap utvikles gjennom at deltakerne er villige til å sette sin forforståelse på spill og åpne for ny erkjennelse. Artikkelen tar utgangspunkt i et forskningsprosjekt som illustrerer deltakernes ulike posisjoner, en forskningssirkel hvor deltakerne undersøkte hvordan de kan utvikle sine arbeidsmåter i faget utdanningsvalg i ungdomsskolen. Deltakerne er lærere, karriererådgivere og en forsker. Ved å benytte kontekstuell analyse (Svensson & Doumas, 2013) kombinert med analyse av de fire årsakene (Kindeberg, 2011; Bjerkholt, Ørbæk & Kindeberg, 2020) blir det synliggjort hvordan alle deltakerne, inkludert lederen av forskningssirkelen, setter sin forforståelse i spill gjennom en kritisk-dialogisk prosess. Det diskuteres hvilken betydning kritisk-dialogiske prosesser kan ha i organisasjoners læring.
Caregivers’ Expectations, Reflected Appraisals, and Arrests among Adolescents Who Experienced Parental Incarceration

This research sought to identify a potential process by which intergenerational crime occurs, focusing on the effect of parental incarceration on adolescents’ subsequent arrests. We drew from Matsueda’s work on reflected appraisals as an explanatory mechanism for this effect. Thus, the present research examined whether caregivers’ and adolescents’ expectations for adolescents’ future incarceration sequentially mediated the effect of parental incarceration on adolescents’ actual arrest outcomes. Propensity score matching was used to examine this effect in a sample of 1,735 15- to 16-year-olds using NLSY97 data. Parental incarceration was positively related to caregivers’ expectations of adolescents’ future arrest. Moreover, caregivers’ expectations were strongly associated with adolescents’ expectations. Finally, the effect of parental incarceration on adolescents’ actual future arrest likelihood was partially mediated by caregivers’ and adolescents’ expectations for this outcome. This study revealed support for the proposition that the experience of parental incarceration may influence adolescents’ negative outcomes through reflected appraisals.
Mediating Effect of Emotion Regulation on the Relationship Between Leadership Styles and Performance: A Study on Banking Sector

In this study, leadership style perceptions, emotion regulation abilities, and organizational performance perceptions of employees in the banking sector, and mediating effect of emotion regulation on the relationship of performance and leadership styles were measured. To test the model, a questionnaire was applied to the banking sector employees working in the Diyarbakır province of Turkey. As a result of the Structural Equation Model (SEM), emotion regulation mediates between performance and transformational leadership. The relationship between performance, transactional leadership style, and laissez-fair leadership style was not significant. A mediating effect of emotion regulation between organizational performance and leadership perception was examined by the same model. Also, some differences were found in terms of demographical variables.
Global supply chains after COVID-19: the end of the road for neoliberal globalisation?

Purpose Through its impact on both demand and supply, the outbreak of novel coronavirus disease 2019 (COVID-19) has profoundly disrupted supply chains throughout the world The purpose of this paper is to explore the underlying drivers of the supply chain vulnerability exposed by COVID-19 and considers potential future directions for global supply Design/methodology/approach This paper adopts a case study approach, reviewing the automotive manufacturing sector in Australia to illustrate how neoliberal globalisation policy settings have shifted large tracts of manufacturing from the global north to the global south Findings The authors demonstrate the way that neoliberal globalisation policies, facilitated by certain accounting rhetorics and technologies, have consolidated manufacturing in China and Southeast Asia in ways that embed vulnerabilities in global supply chains The authors present three scenarios for post-COVID-19 supply chains and the accounting techniques likely to garner stronger attention as a result of the pandemic Research limitations/implications The paper illustrates how certain accounting rhetorics and technologies facilitate neoliberal globalisation, embedding supply chain vulnerability that has been exposed by COVID-19 It also suggests how supply chain accounting may develop more robust supply chains in a post-COVID-19 world and sets out an agenda for future research in this area Practical implications A number of practical supply chain accounting and planning technologies are suggested to facilitate more robust supply chains Originality/value This paper draws attention to the neoliberal globalisation policies that have shaped global supply chains as well as how COVID-19, in concert with other geopolitical trajectories, may represent a watershed moment for global supply chains
In Their Own Hands: Young People and Self-Justice Retaliation in Germany

Strong and viable modern states have limited the use of private force to narrowly-defined situations of self-defense. Yet, evidence from crime surveys shows that a significant proportion of violent and property crimes is not reported to police. Instead of calling the police, people either take no action or employ a variety of mechanisms, including retaliation, to settle disputes. Drawing on data from a survey of 2,921 young people in two German cities, we investigate the propensity of adolescents to resort to self-justice retaliation. The results show widespread propensity to engage in retaliatory actions, particularly among adolescent males of low socio-economic status. Further, attitudes to the police, unsupervised routine activities, and delinquency-related variables were the most influential correlates of propensity to engage in retaliatory actions.
Diazonium Electrografting
 vs
 . Physical Adsorption of Azure A at Carbon Nanotubes for Mediated Glucose Oxidation with FAD‐GDH

The electrochemical reduction of aryldiazonium salts is a versatile and direct route to obtain robust covalently-modified electrodes. We report here a comparative study of Azure-A modified carbon nanotube electrodes prepared by diazonium electrografting and by physical adsorption for bioelectrocatalytic glucose oxidation with fungal FAD-glucose dehydrogenase from Aspergillus sp. The electrografted and adsorbed electrodes exhibited different reversible electroactivity consistent with polymer-type and monomer-type phenothiazine surface assemblies, respectively. The electrografted Azure A electrodes exhibited superior mediated bioelectrocatalysis compared to the adsorbed Azure A electrodes. A more than 10-fold higher catalytic current up to 2 mA cm -2 at 0.2 V vs. Ag/AgCl together with a similarly low onset potential of -0.05 V vs. Ag/AgCl was observed at the electrografted electrodes. Faster estimated electron transfer kinetics and a +200 mV potential shift for the polymer-type redox couple vs. the adsorbed monomer-type couple underlines the favourable driving force for mediated electron transfer with the buried FAD active site for the diazonium-derived bioelectrode.
Recent Advances in the Use of Tithonia diversifolia Green Manure for Soil Fertility Management in Africa: A Review

Tithonia biomass transfer was presented as a technology that would replenish infertile soils, enhance food security and eradicate poverty in Africa in the 1990s. Since then, a huge volume of research has been conducted and the agronomic effectiveness of tithonia unequivocally demonstrated. Its reported effects on soil properties have however been inconsistent. This has made it difficult to develop a predictive understanding of the effects of tithonia on soil properties. Socio-economically, tithonia failed to live up to the hype on its ability to increase the farmers’ incomes. Adoption rates have been dismal mainly because of high labor costs associated with its use. Two decades later, poverty and food insecurity are still widespread in Africa despite the enormous research and extension efforts that were devoted to popularizing the technology.