Miracle-dz/UniFAR-FTUs huggingface dataset:
Stochastic AC Transmission Expansion Planning: A Chance Constrained Distributed Slack Bus Approach With Wind Uncertainty

Integrating more renewable energy sources into the grid leads to a more vulnerable power system and challenges for power system planners. This paper proposes a probabilistic overload constraint based AC transmission expansion planning model. In terms of economic dispatch, generation adequacy and network constraints are assessed using a probabilistic participation factor power flow. Generation participation factors, which are handled in the AC power flow equations, are used to manage mismatch power that comes from uncertainties as well as transmission loss of the system in a distributed slack bus concept. Combinations of load, wind and N-1 contingency uncertainties are evaluated with Monte Carlo Simulation and the loading limits for the existing and candidate lines and violations on bus voltages are enforced as probabilistic constraints using chance constraint programming. The investment decisions taken under various operating conditions are re-evaluated under a new set of wind power uncertainty that differs from those utilized in the optimization process, and the resulting TEP decisions are analyzed from a risk perspective. The proposed method allows for the uncertain operating conditions to be easily and accurately adapted to the ACTEP optimization. The optimization results show that the participation factor power flow is a promising tool for evaluating probabilistic operating conditions, which can be used to explore the possibility of violations under different uncertainty conditions.
Physical inactivity and perceived environmental factors: a cross-sectional study among civil servants in Abia State, Southeastern Nigeria

Introduction physical inactivity has been identified as the fourth leading risk factor for global mortality due to non-communicable diseases. Prevalence rates of 91.0% and 62.2%, have been documented among civil servants in the northern and southern parts of Nigeria, respectively. There is a paucity of data regarding the relationship between physical inactivity and environmental factors among civil servants in the State. This study assessed the prevalence and perceived environmental factors associated with physical inactivity among civil servants in Abia State Nigeria. Methods we conducted a cross-sectional study in which we recruited 440 civil servants using a multistage sampling technique. We used an interviewer-administered structured questionnaire to collect data on sociodemographic, physical activity, and neighbourhood environmental attributes. Descriptive, bivariate and multivariate analysis were done. The level of significance was set at 5%. Results the mean age of the respondents was 39.0±9.2 years, and 61% were females. The prevalence of physical inactivity was 48.4% (95%CI: 43.7%-53.2%). The putative environmental factors included perceptions of low residential density areas, perceived absence of neighbourhood sidewalks, perceived unavailability of bicycling facilities and the perception of an unsafe neighbourhood due to night crimes. The predictor of physical inactivity was the perceived absence of neighbourhood sidewalks (aOR=2.02, 95%CI: 1.10-3.73). Conclusion in this study, physical inactivity is prevalent among civil servants in Abia State. The need for the stakeholders in collaboration with the Ministry of Environment to focus on the provision of sidewalk facilities, layout of residential areas and limit security risks in the State to enhance physical activity is highlighted.
Factors influencing HIV testing and counselling services among men who have sex with men in Western China: a cross-sectional study based on Andersen’s Behavioral Model

Background Men who have sex with men (MSM), as a marginal population, has been largely ignored by health service projects. We assessed the utilization of HIV testing and counselling services and its influencing factors based on Andersen’s Behavioral Model, so as to provide a theoretical basis for future infectious disease prevention and control strategies and health services policy formulation for these population. Method This was a cross-sectional study. A sample survey was conducted in Western China, and an anonymous self-administered questionnaire survey was conducted among MSM. Based on Andersen’s Behavioral Model, the questionnaire divided the influencing factors into predisposing factor, enabling factor and need factor. Multivariate logistic regression analysis was used to explore the factors influencing the utilization of HIV testing and counselling. Results There were 3184 valid questionnaires. In the survey of HIV health services, 82.85% MSM had HIV testing and 64.98% MSM had HIV counselling, respectively. Among the predisposing factor, age 25 years old and over was a facilitator of HIV testing and counselling, and ethnicity was a factor associated with HIV testing. Among the enabling factor, MSM living in urban were more likely to have access to testing and counselling services, and income was also linked to HIV testing. Among the need factor, a high level of HIV knowledge could promote testing and counselling, and a history of sexually transmitted diseases (STD) was a facilitator of testing. Conclusions HIV testing is widespread in Western China and higher than counselling service. MSM with high-risk characteristics should be identified as a priority in the future public health services.
Technology, Gender and Organizations: A Systematic Mapping Study

In this article, we employed a systematic mapping methodology to examine the existing literature at the intersection of technology, gender and organizations. While much has been written about gender in organizations, the research has not consistently considered that modern organizations are increasingly technology-driven – in technology may lie an underexplored lever that could help expand our understanding of gender issues at the workplace. By analyzing a final sample of 168 research papers, we found that two main forms of conceptualizing technology emerged: technology as culture and technology as tools. Papers in the first category are concerned with environments in which technology drives a large part of what is produced, and, therefore, heavily influences culture; authors employ this framing to study technology companies, roles, and entire economic sectors under a gender perspective. The second approach corresponds to the understanding of technology as tools that individuals can use to perform their tasks. A tool can be physical, based on software, or even combine hardware, software, procedures and people; authors employ this framing to study gendered use, or adoption, of technologies to work. We synthesized all the extracted data to obtain a mapping of the literature and conclude with suggestions for future research at the intersection of technology, gender and organizations.
The Potential of α-Mangostin from Garcinia mangostana as an Effective Antimicrobial Agent—A Systematic Review and Meta-Analysis

This systematic review aims to evaluate the antimicrobial activity of α-mangostin derived from Garcinia mangostana against different microbes. A literature search was performed using PubMed and Science Direct until March 2022. The research question was developed based on a PICO (Population, Intervention, Control and Outcomes) model. In this study, the population of interest was microbes, α-mangostin extracted from Garcinia mangostana was used as exposure while antibiotics were used as control, followed by the outcome which is determined by the antimicrobial activity of α-mangostin against studied microbes. Two reviewers independently performed the comprehensive literature search following the predetermined inclusion and exclusion criteria. A methodological quality assessment was carried out using a scoring protocol and the risk of bias in the studies was analyzed. Reward screening was performed among the selected articles to perform a meta-analysis based on the pre-determined criteria. Case groups where α-mangostin extracted from Garcinia mangostana was incorporated were compared to groups using different antibiotics or antiseptic agents (control) to evaluate their effectiveness. A total of 30 studies were included; they were heterogeneous in their study design and the risk of bias was moderate. The results showed a reduction in microbial counts after the incorporation of α-mangostin, which resulted in better disinfection and effectiveness against multiple microbes. Additionally, the meta-analysis result revealed no significant difference (p > 0.05) in their effectiveness when α-mangostin was compared to commercially available antibiotics. α-mangostin worked effectively against the tested microbes and was shown to have inhibitory effects on microbes with antibiotic resistance.
BugBuilder: An Automated Approach to Building Bug Repository

Bug-related research, e.g., fault localization, program repair, and software testing, relies heavily on high-quality and large-scale software bug repositories. The importance of such repositories is twofold. On one side, real-world bugs and their associated patches may inspire novel approaches for finding, locating, and repairing software bugs. On the other side, the real-world bugs and their patches are indispensable for rigorous and meaningful evaluation of approaches to software testing, fault localization, and program repair. To this end, a number of software bug repositories, e.g., iBUGS and Defects4J, have been constructed recently by mining version control systems and bug tracking systems. However, fully automated construction of bug repositories by simply taking bug-fixing commits from version control systems often results in inaccurate patches that contain many bug-irrelevant changes. Although we may request experts or developers to manually exclude the bug-irrelevant changes (as the authors of Defects4J did), such extensive human intervention makes it difficult to build large-scale bug repositories. To this end, in this paper, we propose an automatic approach, called BugBuilder, to construct bug repositories from version control systems. Different from existing approaches, it automatically extracts complete and concise bug-fixing patches and excludes bug-irrelevant changes. It first detects and excludes software refactorings involved in bug-fixing commits. BugBuilder then enumerates all subsets of the remaining part, and discards invalid subsets by compilation and software testing. If exactly a single subset survives the validation, this subset is taken as the complete and concise bug-fixing patch for the associated bug. In case multiple subsets survive, BugBuilder employs a sequence of heuristics to select the most likely one. Evaluation results on 809 real-world bug-fixing commits in Defects4J suggest that BugBuilder successfully extracted complete and concise bug-fixing patches from forty-three percent of the bug-fixing commits, and its precision (99%) was even higher than human experts. We also built a bug repository, called GrowingBugs, with the proposed approach. The resulting repository serves as evidence of the usefulness of the proposed approach, as well as a publicly available benchmark for bug-related research.
A novel high voltage LDMOS with body depletion termination

ABSTRACT A novel body depletion termination (BDT) Lateral Double-diffused Metal Oxide Semiconductor (LDMOS) with low specific on-resistance (Ron,sp) is proposed in this paper. One of the features of the device is that a BDT is inserted into the trench oxide layer (TOL) in the drift region where there is a heavily doped N pillar parallel to the trench TOL, which can realise the drift region depletion of the new device independently of the conventional device at the high doping concentration of the drift region (Nd). Finally, the bulk electric field is optimised to increase the breakdown voltage (BV) and Nd is increased to reduce the Ron,sp. Compared with the Con LDMOS, the BV of 1060 V is increased by 45.2% and the Ron,sp of 76.96 mΩ·cm2 is decreased by 68.2% for the BDT LDMOS. And the figure of merit (FOM= BV2/Ron,sp) of the BDT LDMOS is 14.6 MW·cm−2.
Genes Responsible for H2S Production and Metabolism Are Involved in Learning and Memory in Drosophila melanogaster

The gasotransmitter hydrogen sulfide (H2S) produced by the transsulfuration pathway (TSP) is an important biological mediator, involved in many physiological and pathological processes in multiple higher organisms, including humans. Cystathionine-β-synthase (CBS) and cystathionine-γ-lyase (CSE) enzymes play a central role in H2S production and metabolism. Here, we investigated the role of H2S in learning and memory processes by exploring several Drosophila melanogaster strains with single and double deletions of CBS and CSE developed by the CRISPR/Cas9 technique. We monitored the learning and memory parameters of these strains using the mating rejection courtship paradigm and demonstrated that the deletion of the CBS gene, which is expressed predominantly in the central nervous system, and double deletions completely block short- and long-term memory formation in fruit flies. On the other hand, the flies with CSE deletion preserve short- and long-term memory but fail to exhibit long-term memory retention. Transcriptome profiling of the heads of the males from the strains with deletions in Gene Ontology terms revealed a strong down-regulation of many genes involved in learning and memory, reproductive behavior, cognition, and the oxidation–reduction process in all strains with CBS deletion, indicating an important role of the hydrogen sulfide production in these vital processes.
Exploring implementation factors influencing business-to-customer (B2C) e-Commerce

The Internet makes it possible for consumers to shop without going to a physical store. As online shopping is getting to be more pronounced, retailers opted to make use of the Internet as an alternative to shopping in the store. Many retail stores implement the application of electronic commerce (e-Commerce) transactions to allow the sale of products or services to consumers via the Internet in a very straight-forward manner. Until recently, there are little research had been undertaken into the implementation process of e-Commerce implementation, especially to that of business-to-customer (B2C). Seeing the complexity of the process of B2C implementation, this research tries to explore all possible factors influencing e-Commerce implementation in the extant of B2C literature. Based on the content analysis approach, the factors that influence e-Commerce implementation process are (1) compatibility; (2) complexity; (3) vendor capability; (4) business process re-engineering; (5) top management support; (6) organizational structure; (7) system champion; (8) communication; (9) resistance to change and (10) customer requirements. The paper concludes with three crucial issues that need to be clarified before these factors can be used for further actions: (1) the practical definition of implementation process that is capable to encapsulate the technological and organizational factors in implementing B2C e-Commerce applications; (2) the relationships that combine together the technological and organizational factors in the process of B2C e-Commerce implementation; and (3) the appropriate research approach to investigate B2C e-Commerce implementation process.
Downregulation of CIRP Prone Cells to Oxidative Injury via Regulating Nrf2 Signaling Pathway

Cold-inducible RNA-binding protein (CIRP) is a cellular stress-response protein, whose expression can be induced by a variety of stress conditions. Our previous study showed that intracellular CIRP is a protective factor against cellular oxidative stress and silencing of CIRP gene prone cells to apoptosis. However, the underlying mechanism remains unknown. The present study was aimed at investigating the possible mechanisms underlying the protective role of CIRP in oxidative stress injury. Herein, we used HEK293T cells as our cell model to investigate the relation between CIRP and the possible antioxidant pathways by using the latest genetic silencing technologies. Our results showed that silencing CIRP by using SaiRNA-based genetic silencing tool leads to the downregulation of Nrf2 and Nrf2-regulated antioxidant genes in HEK293T cells. Taken together, our study identified the antioxidant Nrf2 signaling pathway as a downstream target of CIRP, and silencing CIRP may prone cells to apoptosis by downregulating the Nrf2 antioxidant pathway in response to oxidative injury.
PASS-THROUGH BUSINESS ENTITY CHOICE AND EARNINGS MANAGEMENT: EVIDENCE FROM UK REAL ESTATE INVESTMENT TRUST CONVERSION

This empirical study innovatively investigates how the choice of a pass-through business entity and corresponding regulatory regime influence firms’ earnings management (EM) behaviors by testing on the UK Real Estate Investment Trust (REIT) conversion. A substantial proportion of UK non-REIT publicly traded property companies (LPCs) have chosen to become REITs since the UK REITs were launched in 2007. We conduct a series of tests on a database containing UK LPCs and REITs from 2000 to 2019 and find that conversion into pass-through business entity regimes like REITs that enjoy more favorable tax treatment but face more restrictions leads to more accrual earnings management (AEM) activity, but less real earnings management (REM) activity.
HRV measurement not predictive of depression symptoms or improvement: a case report

ABSTRACT The purpose of this study was to determine if HRV measurements could predict depression, predict depression treatment outcomes, and determine the resolution of depression symptoms for an individual. Ventral vagus nerve treatment for depression consisted of body techniques as well as the Safe and Sound Protocol (SSP). Symptoms of major depression were significantly improved after body techniques as well as the SSP. However, no significant differences were found for HR, RMSSD, LF, HF, and the LF/HF ratio. As such, HRV measurements for this client did not predict depression, predict treatment outcomes, nor determine the resolution of depression symptoms. This case highlights that the large differences found in the HRV measurement means of clients experiencing depression versus healthy controls make it very difficult for an individual treatment provider to predict a client’s mental health status, predict a client’s treatment outcomes, or determine if treatment was successful for their client. Additionally, it has been suggested that differences in HR and HF readings are superior indexes of within-subject differences. However, comparing HF and HR readings for this individual also did not predict treatment outcomes.
KDEL Receptors: Pathophysiological Functions, Therapeutic Options, and Biotechnological Opportunities

KDEL receptors (KDELRs) are ubiquitous seven-transmembrane domain proteins encoded by three mammalian genes. They bind to and retro-transport endoplasmic reticulum (ER)-resident proteins with a C-terminal Lys-Asp-Glu-Leu (KDEL) sequence or variants thereof. In doing this, KDELR participates in the ER quality control of newly synthesized proteins and the unfolded protein response. The binding of KDEL proteins to KDELR initiates signaling cascades involving three alpha subunits of heterotrimeric G proteins, Src family kinases, protein kinases A (PKAs), and mitogen-activated protein kinases (MAPKs). These signaling pathways coordinate membrane trafficking flows between secretory compartments and control the degradation of the extracellular matrix (ECM), an important step in cancer progression. Considering the basic cellular functions performed by KDELRs, their association with various diseases is not surprising. KDELR mutants unable to bind the collagen-specific chaperon heat-shock protein 47 (HSP47) cause the osteogenesis imperfecta. Moreover, the overexpression of KDELRs appears to be linked to neurodegenerative diseases that share pathological ER-stress and activation of the unfolded protein response (UPR). Even immune function requires a functional KDELR1, as its mutants reduce the number of T lymphocytes and impair antiviral immunity. Several studies have also brought to light the exploitation of the shuttle activity of KDELR during the intoxication and maturation/exit of viral particles. Based on the above, KDELRs can be considered potential targets for the development of novel therapeutic strategies for a variety of diseases involving proteostasis disruption, cancer progression, and infectious disease. However, no drugs targeting KDELR functions are available to date; rather, KDELR has been leveraged to deliver drugs efficiently into cells or improve antigen presentation.
A New Integral Transform “Rishi Transform” with Application

In this paper, authors propose a new integral transform “Rishi Transform” with application to determine the exact (analytic) solution of first kind Volterra integral equation (V.I.E.). For this purpose, authors first derived the Rishi transform of basic mathematical functions (algebraic and transcendential) and then the fundamental properties of Rishi transform is discussed, which can be used for solving ordinary differential equations (O.D.E), partial differential equations (P.D.E.), delay differential equations (D.D.E.), fractional differential equations (F.D.E.), difference equations (D.E.), integral equations (I.E.) and integro-differential equations (I.D.E.). After this, authors determined the exact (analytic) solution of general first kind V.I.E. They have considered three numerical problems and solved them completely step by step for explaining the utility of Rishi transform. Results depict that the proposed new integral transform "Rishi Transform" provides the exact results for first kind V.I.E. without doing complicated calculation work.
Investigation of proteomic profiles in canine lymphoma using tandem mass tag-based quantitative proteomics approach

Background and Aim: Specific tumor biomarkers are useful for the early diagnosis of cancer or can predict the recurrence of neoplastic disease in humans and animals. Lymphoma in dogs could be classified into B-, T-, and NK-cell origins. T-cell lymphoma has the worst prognosis with a shorter survival time and disease-free interval. This study aimed to identify the differential serum protein expressions of canine B- and T-cell lymphomas compared with healthy dogs using a tandem mass tag (TMT)-based quantitative proteomics. Materials and Methods: Serum samples were collected from 20 untreated canine lymphomas (14 B-cells and 6 T-cells) and four healthy control dogs. Sera peptides from each sample were processed for TMT 10-plex tagging and analyzed using liquid chromatography-mass spectrometry (MS). Differential proteome profiling was then compared between lymphoma and control. Results: We discovered 20 elevated and 14 decreased serum proteins in the lymphoma group relative to the healthy group. Six candidate increased proteins in canine lymphomas were beta-actin cytoplasmic 1 (ACTB, p=0.04), haptoglobin (p=0.002), beta-2 microglobulin (aaaaaaaa2M, p=0.007), beta-2 glycoprotein 1 (APOH, p=0.03), metalloproteinase inhibitor 1 (TIMP-1, p=0.03), and CD44 antigen (p=0.02). When compared between B- and T-cell lymphomas, B-cell phenotypes had upregulated immunoglobulin (Ig) heavy chain V region GOM (p=0.02), clusterin (p=0.01), apolipoprotein C1 (APOC1, p=0.05), and plasminogen (p=0.02). Conclusion: These findings were investigated quantitative serum proteomes between B- and T-cell lymphomas using TMT-based MS. ACTB, aaaaaaaa2M, APOH, TIMP-1, CD44 antigen, Ig heavy chain V region GOM, and APOC1 are novel candidate proteins and might serve as a lymphoma biomarker in dogs. However, evaluation with an increased sample size is needed to confirm their diagnostic and prognostic ability.