Miracle-dz/UniFAR-FTUs huggingface dataset:
"A passion to mold young people:" A mixed-methods study of Iowa community college athletics coaches' profile characteristics

This study focused on building a profile of characteristics of community college (CC) athletics coaches in Iowa and on exploring the possible relationships among these characteristics. Using a mixed-method research design that incorporates SPSS quantitative analysis of a survey and seven semi-structured interviews, the research data draw a clearer picture of what these CC intercollegiate athletics coaches look like, what they do and go through in order to coach, and why they coach. The major profile characteristics and variables of interest examined include: self-identity as teachers, job satisfaction, motivations, challenges, and perceived impact on student-athletes’ education. This study’s CC coaches are largely motivated to coach for intrinsic (they love and enjoy sports and coaching) and altruistic reasons (they want to mentor young people) rather than for extrinsic reasons (for money or benefits). Although most of these CC coaches coach parttime according to their salary, they put in around fifty hours per week in coaching related duties during their competitive seasons. The time demands associated with their having multiple jobs in addition to their coaching creates multi-role conflicts, especially for their family lives and personal lives. While intrinsic and altruistic motivations are powerful factors in their persisting in the coaching profession, the better they are able to cope with personal level challenges, the greater chance they will be satisfied in their jobs. Additionally, comparisons among various subgroups of these CC coaches are explored (male and female coaches, assistant and head coaches, coaches of different career levels and of age levels, coaches of different squad sizes and different sport types, part-time and full-time coaches, coaches with extra jobs and without extra jobs, and coaches of different competition levels).
E-WoM: Pengaruhnya terhadap Keputusan Pembelian Tamu Restoran di Bandung Utara

The Development of information and technology has entered various elements of life, including human lifestyle when visiting restaurants. Some trends in the younger generation when visiting restaurants in Bandung, they often check in on social media, take selfie pictures with the interior design of the restaurant as the background, and the most common activity is taking photo of food or beverage products of the restaurant. furthermore, they upload the pictures to various social media. If referring to the literature, these activities could be classified as electronic word of mouth (e-WOM). The purpose of this study was to determine the role of e-word of mouth to increase the purchasing decision of restaurants in North Bandung. This is an explanatory study. The population in this study were restaurant’s customers in North Bandung so that the population was infinite. Thus the sampling technique used was quota sampling technique with a target of 100 respondents. The Data analysis technique used is multiple regression analysis. This research is expected to be an input for providers of food service business, particularly restaurants for consideration in conducting marketing activities in order to increase the sales of food and drink. The results of this research that there is a significant influence of the e-word of mouth on restaurant’s customers purchase decision in North Bandung.
ANALISIS SIGNIFIKANSI LEVERAGE DAN KEBIJAKAN DEVIDEN TERHADAP NILAI PERUSAHAAN

Penelitian ini dilakukan untuk mengetahui signifikansi leverage dan kebijakan deviden terhadap nilai perusahaan pada perusahaan manufaktur keramik, porselen dan kaca yang terdaftar di Bursa Efek Indonesia.Data diperoleh dari laporan keuangan 10 tahun terakhir dengan periode 2005-2015, dalam penelitian metode penelitian menggunakan asosiatif karena adanya hubungan variabel independent terhadap variabel dependent. Teknik pengumpulan data menggunakan studi kepustakaan (library research) pengambilan data sekunder. Sampel yang digunakan sebanyak 30 sampel yang menggunakan analisis regresi berganda, uji t, uji F dan koefisien determinasi. Berdasarkan hasil analisis regresi NP = 0.697 – 0.771DER + 4.602DPR, leverage dengan proxi debt to equity ratio (DER) memilki nilai signifikansi 0.011 mempengaruhi nilai perusahaan dengan proxi tobin q, sedangkan kebijakan deviden dengan proxi debt payout ratio (DPR) memiliki nilai signifikansi 0,000 mempengaruhi nilai perusahaan dengan proxi tobin q. Pengaruh DPR terhadap nilai perusahaan lebih signifikan/sangat berarti bila dibandingkan dengan pengaruh DER terhadap nilai perusahaan. Kata Kunci : Leverage, Kebijakan Deviden dan Nilai Perusahaan.
Resistance of Palmer Amaranth (Amaranthus palmeri) to S-Metolachlor in the Midsouthern United States

Abstract Palmer amaranth (Amaranthus palmeri S. Watson) is one of the most problematic weeds in many cropping systems in the midsouthern United States because of its multiple weedy traits and its propensity to evolve resistance to many herbicides with different mechanisms of action. In Arkansas, A. palmeri has evolved metabolic resistance to S-metolachlor, compromising the effectiveness of an important weed management tool. Greenhouse studies were conducted to evaluate the differential response of A. palmeri accessions from three states (Arkansas, Mississippi, and Tennessee) to (1) assess the occurrence of resistance to S-metolachlor among A. palmeri populations, (2) evaluate the resistance level in selected accessions and their resistant progeny, (3) and determine the susceptibility of most resistant accessions to other soil-applied herbicides. Seeds were collected from 168 crop fields between 2017 and 2019. One hundred seeds per accession were planted in silt loam soil without herbicide for >20 yr and sprayed with the labeled rate of S-metolachlor (1,120 g ai ha–1). Six accessions (four from Arkansas and two from Mississippi) were classified resistant to S-metolachlor. The effective doses (LD50) to control the parent accessions ranged between 73 and 443 g ha–1, and those of F1 progeny of survivors were 73 to 577 g ha–1. The resistance level was generally greater among progeny of surviving plants than among resistant field populations. The resistant field populations required 2.2 to 7.0 times more S-metolachlor to reduce seedling emergence 50%, while the F1 of survivors needed up to 9.2 times more herbicide to reduce emergence 50% compared with the susceptible standard.
Demographic Transition, Industrial Policies, and Chinese Economic Growth

We build a unified framework to quantitatively examine the demographic transition and industrial policies in contributing to China’s economic growth between 1976 and 2015. We find that the demographic transition and industrial policy changes by themselves account for a large fraction of the rise in household and corporate savings relative to total output and the rise in the country’s per capita output growth. Importantly, their interactions also lead to a sizable fraction of the increases in savings since the late 1980s and reduce growth after 2010. A novel and important factor that drives these dynamics is endogenous human capital accumulation, which depresses household savings between 1985 and 2010 but leads to substantial gains in per capita output growth after 2005.
Contradicting classification, nomenclature, and diagnostic criteria of Compulsive Sexual Behavior Disorder (CSBD) and future directions •

Abstract Building on the conclusions of the debate papers by Gola et al. (2022) and Sassover and Weinstein (2022), the present commentary further addressed the contradictions between the current classification, nomenclature, and diagnostic criteria of Compulsive Sexual Behavior Disorder (CSBD) with elaborating on the potential roles impulsivity and compulsivity may play in CSBD, and how these characteristics may relate to addictive behaviors in particular. Moreover, it briefly discussed how the classification of CSBD might impact research and clinical practice and proposed potential future research directions that may help to reach a consensus on the classification and core symptoms of CSBD.
Blocking of Caspases Exerts Anti-Inflammatory Effects on Periodontal Cells

Periodontitis is an inflammatory process that is associated with caspase activity. Caspases could thus become molecular targets for the modulation of the inflammatory response to harmful factors, such as lipopolysaccharides (LPS) and TNFα. Here, the impact of the pan-caspase inhibitor Z-VAD-FMK (carbobenzoxy-valyl-alanyl-aspartyl-[O-methyl]-fluoro-methyl ketone) on the modulation of the LPS-induced inflammatory response of murine RAW 264.7 cells and primary macrophages was examined. Moreover, the inflammatory responses of human gingival fibroblasts, HSC2 oral squamous carcinoma cells and murine ST2 mesenchymal fibroblasts when exposed to TNFα were studied. Data showed that Z-VAD-FMK significantly lowered the inflammatory response of RAW 264.7 cells and primary macrophages, as indicated by the expression of IL1 and IL6. In murine ST2 mesenchymal fibroblasts, the TNFα-induced expression of CCL2 and CCL5 was significantly reduced. In human gingival fibroblasts and HSC2 cells, Z-VAD-FMK considerably reduced the TNFα-induced expression of CXCL8 and CXCL10. These findings suggest that pharmacological blocking of caspases in an inflammatory environment lowers the expression of cytokines and chemokines in periodontal cells.
A New Leakage Resilient Symmetric Searchable Encryption Scheme for Phrase Search

: Symmetric searchable encryption (SSE) schemes are preferred over asymmetric ones for their lower computa-tional cost. Owing to the big data size of most of the cloud applications, SSE with keyword search often yields a large number of search results matching the search criterion, but only a small portion of them is of actual interest. This results in unnecessary increase of network trafﬁc. A customized search against a phrase instead of keywords can yield more speciﬁc and relevant search results and can reduce the network trafﬁc. This motivates the idea of phrase search in SSE. Most of the existing symmetric key searchable encryption schemes either do not support phrase search or have unwanted leakage associated with them. In this paper, we propose a symmetric key searchable encryption scheme for phrase search that minimizes the leakage of information from search pattern and access pattern . We propose a probabilistic trapdoor generation algorithm for phrase search and thereby prevent the leakage due to search pattern . In earlier SSE based schemes, an honest-but-curious server could always learn about the position of the sentences and keywords in the encrypted text after the search operation is performed. This is referred to as the leakage from access pattern . This may turn out to be a signiﬁcant security concern owing to the prior knowledge of positions of certain sentences and keywords in certain documents. In this paper, we provide the access pattern secure encryption scheme such that, an honest-but-curious cloud server could not learn anything about the position of the phrase in the sentence even after the search. We implement a prototype of our scheme and validate it against commercial data and provide security and performance analysis to demonstrate its practicality.
Produção de melancia em solo adubado com esterco bovino e potássio - DOI:10.5039/agraria.v12i2a5427

The variability and low Watermelon yields in northeastern Brazil are linked to the lack of research on the fertilization management of culture. This experiment aimed to evaluate the watermelon production at soil under the levels cattle manure and potassium. The treatments were distributed in randomized block design with three replications and 21 plants per plot in factorial scheme 3 × 5 + 1, referring to three cattle manure levels (0.0 1.10 and 2.52 kg hole-1), five K2O levels (0.0; 7.5; 15; 22.5 and 30 kg ha-1), and one additional treatment (without organic and mineral fertilizers). Except additional treatment, the other treatments received nitrogen, in the form of urea (120 kg ha-1 N). Were evaluated: number of fruits per plant, average fruit weight, productivity and fruit size (longitudinal diameter fruit-LDF and equatorial diameter fruit-EDF). The K2O levels supplied were not sufficient to raise the average mass of watermelon fruits to satisfactory values. The 1.10 kg dose of bovine manure was the one that promoted higher values of productivity. The increase in the dose of manure reduced the need for potassic fertilizer to increase the productivity of watermelon plants.
Technological, Economic, Social and Environmental Barriers to Adoption of Small-Scale Biogas Plants: Case of Indonesia

By 2025, biogas is estimated to become a larger part of Indonesia’s energy mix. Biogas is a renewable energy source that also has economic and environmental advantages. Domestic biogas generation has been embraced in Indonesia as a response to the country’s energy security concerns in rural areas. Since the 1970s, 48,038 biogas plants have been built in the region. To fully develop this technology, Indonesia must discontinue relying on fossil fuels and substitute current fossil-fuel-based energy. This article provides an overview of renewable technology in Indonesia, as well as addressing domestic energy demands and referring to existing literature on the socio-technical and socio-economic barriers to biogas adoption in Indonesia. Based on a rigorous review of 71 publications published in Web of Science (WoS) between 2010 and 2021, this study explores existing barriers for biogas adoption by summarizing the current literature from technical, economic, social and environmental perspectives. Biogas adoption is a complex process with many interwoven components. Therefore, this research addresses a gap in the strategic planning and implementation process, providing policymakers with pathways to eliminate bottlenecks in renewable energy planning. Recommendations for future research are also proposed.
Effects of Housing and Management Factors on Selected Indicators of the Welfare Quality® Protocol in Loose-Housed Dairy Cows

Simple Summary Housing conditions and management practices affect animal welfare levels in livestock production. The objective of this study was to investigate potential effects of housing and management factors on animal welfare in dairy cattle by comparing different farms with each other in a benchmarking approach. For this purpose, 63 dairy cattle farms in Northern Germany were assessed using an animal welfare indicator system (Welfare Quality® protocol). Farms were categorized into a high and a low welfare group for each of the selected animal welfare indicators (body condition score, integument alterations, lameness, milk somatic cell count, and social behaviour). Both groups were compared regarding housing conditions and management practices in a statistical analysis. Clear differences between the groups were found for lameness concerning the routine use of foot-baths, milk somatic cell count concerning the milking frequency, and social behaviour concerning the cow-to-stall ratio. Comparing farms with high and low animal welfare status regarding housing and management factors provide useful information for the practice. Dairy cattle farmers could use these findings to improve animal welfare on their farms. Abstract The objective of this study was to examine the effects of housing and management factors on animal welfare indicators in dairy cows using a benchmarking approach. In total, 63 conventional dairy cattle farms with zero-grazing in Northern Germany were assessed using selected animal welfare indicators (body condition score, integument alterations, lameness, milk somatic cell count, and social behaviour) of the Welfare Quality® protocol. Additionally, housing characteristics such as designs of barns, cubicles, and floors were documented during farm visits and farmers were interviewed concerning their common management routines. Farms were categorized into a high welfare or low welfare group by calculating upper and lower tertiles for each of the animal welfare indicators separately. Both groups were compared regarding housing conditions and management practices using univariable and multivariable logistic regressions. Several associations between housing and management factors and animal welfare indicators were demonstrated in univariable analysis (p < 0.20). Significant effects within multivariable logistic regression analysis were determined for lameness (routine use of foot-baths), milk somatic cell count (milking frequency) and social behaviour (cow-to-stall ratio) (p < 0.05). Comparing farms with higher and lower animal welfare status can provide useful information about effective options to improve animal welfare.
Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML

Mobile banking is a service provided by a bank that allows full remote control of customers’ financial data and transactions with a variety of options to serve their needs. With m-banking, the banks can cut down on operational costs whilst maintaining client satisfaction. This research examined the most crucial factors that could predict the Jordanian customer’s continued intention toward the use of m-banking. Following the proposed model, the research was conducted by using a self-conducted questionnaire and the responses were collected electronically from a convenience sample of 403 Jordanian customers of m-banking through social networks. The suggested model was adapted from the theory of planned behavior (TPB), the unified theory of acceptance and use of technology (UTAUT), and the technology acceptance model (TAM). The research model was further expanded by considering the factors of service quality and moderating factors (age, gender, educational level, and Internet experience). The collected data of customers were analyzed, validated, and verified by using a structural equation modeling (SME) approach including a confirmatory factor analysis (CFA), in addition to machine learning (ML) methods, artificial neural network (ANN), support vector machine (SMO), bagging reduced error pruning tree (RepTree), and random forest. Results showed that effort expectancy, performance expectancy, perceived risk, perceived trust, social influence, and service quality impacted behavioral intention, whereas facilitating conditions did not. Furthermore, behavioral intention impacted upon word of mouth and facilitating conditions (the latter regarding the continued intention to use m-banking), and had the highest coefficient value. Results also confirmed that all moderating factors affect the behavioral intention to continue using m-banking applications.
Is Anodal Transcranial Direct Current Stimulation an Effective Ergogenic Technology in Lower Extremity Sensorimotor Control for Healthy Population? A Narrative Review

Anodal transcranial direct current stimulation (a-tDCS) aims to hone motor skills and improve the quality of life. However, the non-repeatability of experimental results and the inconsistency of research conclusions have become a common phenomenon, which may be due to the imprecision of the experimental protocol, great variability of the participant characteristics within the group, and the irregularities of quantitative indicators. The aim of this study systematically summarised and analysed the effect of a-tDCS on lower extremity sensorimotor control under different experimental conditions. This narrative review was performed following the PRISMA guidelines until June 2022 in Web of Science, PubMed, Science Direct, Google Scholar, and Scopus. The findings of the present study demonstrated that a-tDCS can effectively improve the capabilities of lower extremity sensorimotor control, particularly in gait speed and time-on-task. Thus, a-tDCS can be used as an effective ergogenic technology to facilitate physical performance. In-depth and rigorous experimental protocol with larger sample sizes and combining brain imaging technology to explore the mechanism have a profound impact on the development of tDCS.
Deep Learning-Based Non-Intrusive Commercial Load Monitoring

Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only commercial customers understand their energy usage to improve energy efficiency but also helps electric utilities develop demand-side management strategies to ensure stable operation of the power system. However, existing non-intrusive methods cannot monitor multiple commercial loads simultaneously and do not consider the high correlation and severe imbalance among commercial loads. Therefore, this paper proposes a deep learning-based non-intrusive commercial load monitoring method to solve these problems. The method takes the total power signal of the commercial building as input and directly determines the state and power consumption of several specific appliances. The key elements of the method are a new neural network structure called TTRNet and a new loss function called MLFL. TTRNet is a multi-label classification model that can autonomously learn correlation information through its unique network structure. MLFL is a loss function specifically designed for multi-label classification tasks, which solves the imbalance problem and improves the monitoring accuracy for challenging loads. To validate the proposed method, experiments are performed separately in seen and unseen scenarios using a public dataset. In the seen scenario, the method achieves an average F1 score of 0.957, which is 7.77% better than existing multi-label classification methods. In the unseen scenario, the average F1 score is 0.904, which is 1.92% better than existing methods. The experimental results show that the method proposed in this paper is both effective and practical.
Advances in visual prostheses: engineering and biological challenges

Vision is an extraordinary sense through which we can appreciate the beauty of the world we live in, gain invaluable knowledge and communicate with others using visual expression and arts. On the contrary, blindness is a threatening medical condition disrupting the life of affected people and their families. Therefore, restoring sight is one of the open challenges of our society. Today, the synergistic convergence of science and technology holds the potential to provide blind patients with artificial vision using visual prostheses: a type of implantable medical device able to reactivate visual neurons using electrical stimulation. Although clinical trials showed that vision restoration is still far away, significant technological advances make visual prostheses a valuable solution for blind patients. This review is not only a description of the state-of-the-art. Instead, it provides the reader with an update on recent developments, a critical discussion of the open challenges, and an overview of promising future directions.
Globalization Is Associated With Lower Levels of National Narcissism: Evidence From 56 Countries

We present a largescale, preregistered examination of factors that explain why citizens of certain nations might show higher levels of national narcissism than others. National narcissism is the belief that one’s nation is exceptional yet undervalued. It is related to several social ills, including conspiracy beliefs, intergroup aggression, extremism, and rejection of science. We theorized that national narcissism would be related to the nature of relations between countries. We expected it to be associated with higher levels of external conflict and lower levels of globalization. Using multilevel modeling across 56 countries (n = 50,757), we found that citizens of less globalized nations showed higher average national narcissism. However, external conflict was unrelated to national narcissism. We also tested whether citizens’ national narcissism was higher in countries led by populists but found no evidence for this effect. At the individual level, higher individual narcissism, self-esteem, and right-wing political orientation positively predicted higher national narcissism.