Miracle-dz/UniFAR-FTUs huggingface dataset:
Work to family, family to work conflicts and work family balance as predictors of job satisfaction of Malaysian academic community

The purpose of this study is to confirm that work to family conflict (W to FC), family to work conflict (F to WC) and work family balance (WFB) are the predictors of job satisfaction (JS) for Malaysian academic community. To achieve the fundamental objective, the authors first test the direct (structural model) effects of W to FC and F to WC on JS. Secondly, using mediation model, the indirect effects of WFB were calculated through W to FC, F to WC and JS. ,Using convenience sampling, the data was collected from 280 academic people who work at private universities in Malaysia. Structural equation modelling technique was applied to complete the data analyses procedures. ,The findings revealed that W to FC and F to WC have negative significant effects on JS. Besides, WFB partially mediates only the relationship between W to FC and JS while no mediation effect was found for F to WC and JS. ,All the research variables in this study were individual-level variables, thus it is suggested to use some organizational and national level variables such as religion and culture as they might be good intervening variables for predicting JS. ,Using the findings of this research, the Malaysian private universities community can take some necessary initiatives to mitigate work family conflict (W-FC) and ensure WFB and JS that might enhance the standard of higher education in Malaysia. ,To the best of the authors’ knowledge, this is the first attempt to test the mediation effect of WFB in the relationship between both directions of W-FC and JS of employees from the perspective of Malaysia (a collectivist community).
Using time causal quantifiers to characterize sleep stages

Sleep plays substantial role in daily cognitive performance, mood and memory. The study of sleep has attracted the interest of neuroscientists, clinicans and the overall population, with increasing number of adults suffering from insufficient amounts of sleep. Sleep is an activity composed of different stages whose temporal dynamics, cycles and inter dependencies are not fully understood. Healthy body function and personal well being, however, depends on proper unfolding and continuance of the sleep cycles. The characterization of the different sleep stages can be undertaken with the development of biomarkers derived from sleep recording. For this purpose, in this work we analyzed single-channel EEG signals from 106 healthy subjects. The signals were quantified using the permutation vector approach using five different information theoretic measures: i) Shannon’s entropy, ii) MPR statistical complexity, iii) Fisher information, iv) Renyí Min-entropy and v) Lempel-Ziv complexity. The results show that all five information theory-based measures make possible to quantify and classify the underlying dynamics of the different sleep stages. In addition to this, we combine these measures to show that planes containing pairs of measures, such as the plane composed of Lempel-Ziv and Shannon, have a better performance for differentiating sleep states than measures used individually for the same purpose.
Effective PCB Decoupling Optimization by Combining an Iterative Genetic Algorithm and Machine Learning

An iterative optimization for decoupling capacitor placement on a power delivery network (PDN) is presented based on Genetic Algorithm (GA) and Artificial Neural Network (ANN). The ANN is first trained by an appropriate set of results obtained by a commercial simulator. Once the ANN is ready, it is used within an iterative GA process to place a minimum number of decoupling capacitors for minimizing the differences between the input impedance at one or more location, and the required target impedance. The combined GA–ANN process is shown to effectively provide results consistent with those obtained by a longer optimization based on commercial simulators. With the new approach the accuracy of the results remains at the same level, but the computational time is reduced by at least 30 times. Two test cases have been considered for validating the proposed approach, with the second one also being compared by experimental measurements.
Recruiting Reporters’ Perceptions of Ethical Issues

In the Internet era, a substantial online media industry dedicated to covering the recruitment of high school athletes to college sports programs has developed in the United States. The current study explored the perceptions of football recruiting reporters with respect to their ethical responsibilities and the issues they face in their jobs. In doing so, the study builds on the work of Yanity and Edmondson, who explored the perceptions of journalists from other fields about ethical dilemmas they perceived as relevant in the budding high school football recruiting media industry. Through analysis of interviews with 15 people who have worked as reporters for major recruiting websites such as Rivals.com or 247Sports.com, we contend that several key ethical issues must be addressed by online college football and basketball recruiting outlets to protect athletes and to promote responsible journalism. These issues include (a) incessant contact of high school athletes by media members; (b) lack of institutional oversight by parent companies over school-specific sites; (c) ambiguous methodology behind player evaluation; (d) conflicts of interest inherent in recruiting media outlets hosting evaluation camps; and (e) lack of institutional protection from unethical pressures by members of college athletic departments.
Tourism, Institutions, and Poverty Alleviation: Empirical Evidence from China

While tourism can be advocated as a means for poverty reduction, the inconclusive issue of poverty in developing countries has harbored doubts about the efficacy of tourism development in its reduction. This study empirically examines whether institutions influence how tourism development affects poverty. We apply the system generalized method of moments technique to estimate our empirical model. By using panel data for 29 Chinese provinces over the period 1999 to 2014, we empirically reveal that tourism and institutions have significant and negative effects not only on the absolute poverty but also on the relative poverty as measured by the Foster–Greer–Thorbecke (FGT) poverty indices in both the short and long run albeit at varying magnitudes of effect and levels of significance. In addition, institutional quality positively moderates the tourism–poverty nexus, thereby suggesting that the pro-poor effect of tourism development decreases as the quality of institutions improves in the thin institutional setting of rural China.
A Market Scheduling for New Normal Logistics in the Wake of Corona Virus Diseases-19 in Bandung City

Recent developments on the worldwide spread of Corona Virus Diseases-19 (COVID-19) show the vulnerability of human beings to pandemic risks in terms of biological, social, and economic factors. While human lives are the most important factor, a proposed solution dealing with pandemics should be sustainable which also includes other factors. Quarantines and physical distancing have been seen as effective ways to slow down the spread of COVID-19. We therefore propose a market scheduling model with multi-objectives to support physical distancing minimizing the number of people in a certain area in a given time (crowds) and minimizing the virus spread rates. An analytical model is proposed and solved for Bandung City. The results show some promising ideas on how to slow down the virus spread without compromising both health and economic objectives. The future potential research of the model is also presented.
Limiting the Oxidation of WS2 Nanostructures by Oleylamine Surface Passivation for Room Temperature NH3 Sensing

1 Molecular Sciences Institute, School of Chemistry, University of the Witwatersrand, Wits, 2050, Republic of South Africa; Siziwe.gqoba@wits.ac.za (SG); leratosharonm@gmail.com (LSM); 491384@students.wits.ac.za (ZN); mildred.airo@wits.ac.za (MA); 670850@students.wits.ac.za (TK); cebisa.linganiso@wits.ac.za (CEL); nosipho.moloto@wits.ac.za (NM) 2 Departamento de Física,Universidade Federal do Paraná, 81531-980 Curitiba, Brazil; rafael779@gmail.com (RR); iah@fisica.ufpr. br (IAH) 3 Microscopy and Microanalysis Unit, University of the Witwatersrand, Wits, 2050, Republic of South Africa; cebisa.linganiso@wits.ac.za (ECL) 4 Department of Chemistry, Vaal University of Technology, Vanderbijlpark, 1900, Republic of South Africa; makwenam@vut.ac.za (MJM) * Correspondence: Siziwe.gqoba@wits.ac.za; Tel. : +27 11 717 6756 (SG); nosipho.moloto@wits.ac.za (NM); Tel. : +27-11-717-6774
A Review of Insider Threat Detection: Classification, Machine Learning Techniques, Datasets, Open Challenges, and Recommendations

Insider threat has become a widely accepted issue and one of the major challenges in cybersecurity. This phenomenon indicates that threats require special detection systems, methods, and tools, which entail the ability to facilitate accurate and fast detection of a malicious insider. Several studies on insider threat detection and related areas in dealing with this issue have been proposed. Various studies aimed to deepen the conceptual understanding of insider threats. However, there are many limitations, such as a lack of real cases, biases in making conclusions, which are a major concern and remain unclear, and the lack of a study that surveys insider threats from many different perspectives and focuses on the theoretical, technical, and statistical aspects of insider threats. The survey aims to present a taxonomy of contemporary insider types, access, level, motivation, insider profiling, effect security property, and methods used by attackers to conduct attacks and a review of notable recent works on insider threat detection, which covers the analyzed behaviors, machine-learning techniques, dataset, detection methodology, and evaluation metrics. Several real cases of insider threats have been analyzed to provide statistical information about insiders. In addition, this survey highlights the challenges faced by other researchers and provides recommendations to minimize obstacles.
The Effects of Providing and Receiving Peer Feedback on Writing Performance and Learning of Secondary School Students

Research has shown that engaging students in peer feedback can help students revise documents and improve their writing skills. But the mechanistic pathways by which skills develop have remained untested: Does receiving and providing feedback lead to learning because it produces more extensive revision behavior or is such immediate implementation of feedback unnecessary? These pathways were tested through analyses of the relationships between feedback provided and received, feedback implemented and overall revisions, and improved writing quality in a new article. Overall, the number of revisions predicted growth in writing ability, and both amount of received and provided feedback were associated with being more likely to make revisions. However, providing feedback was also directly related to growth in writing ability.
Cross Talk without Cross Tolerance: Effect of Rearing Temperature on the Hypoxia Response of Embryonic Zebrafish

Environmental stressors, such as warm temperatures and hypoxia, can interact and pose a threat to aquatic species. Cross talk between the hypoxia and heat stress cellular pathways can lead to enhanced cross tolerance between these environmental stressors. In this study, we questioned whether elevated temperatures (from 27° to 32°C) during rearing would enhance the hypoxia-inducible transcription factor-1 (HIF-1)-mediated transcriptional response to hypoxia (5% dissolved O2) in early stages of zebrafish development and whether these differences would be associated with enhanced larval tolerance and survival to hypoxia. We found that embryos reared at 32°C had an enhanced cellular HIF-1 response (elevated hif-1ab and insulin-like growth factor binding-protein mRNA level) and that acute hypoxia (4 h) activated the heat-shock response (elevated hsp70a and hsp90aa mRNA levels). Elevated rearing temperatures and hypoxia exposure also induced precocious hatching, but neither environmental stressor had an effect on the hypoxia tolerance (critical O2 tension) of 4-d-old larvae and did not protect larvae against the lethal effects of a second acute hypoxia exposure. Overall, during early zebrafish development, cross talk between the hypoxia and heat stress cellular pathways at the gene expression level did not confer cross tolerance at the whole-animal level with respect to hypoxia stress.
Investigation of soil-borne fungi, causal agents of olive trees wilt and dieback in Tunisia

Abstract The incidence of fungal diseases affecting olive trees increased in Tunisia. Mycoflora isolated from diseased olive trees revealed their colonisation by several fungal species such as Fusarium oxysporum, F. solani, F. lateritium, Macrophomina phaseolina, Rhizoctonia solani, Athelia rolfsii, Neonectria radicicola, Verticillium dahliae, Armillaria mellea, Phytophthora megasperma, P. palmivora and Pythium sp. These fungi were also isolated from roots and collars of young olive cuttings in the nursery, where they caused severe losses. Most of the fungi were pathogenic and caused typical symptoms of dieback upon their inoculation on olive plants, which fullfill the Koch’s postulate. These pathogenic fungi showed the ability to infect, either separately or jointly the olive tree. Moreover, cropping of olive in high clay soil and irrigation with high saline water increase the fungal incidence and plays a major role in the disease outbreak.
Introgressive and horizontal acquisition of Wolbachia by Drosophila yakuba-clade hosts and horizontal transfer of incompatibility loci between distantly related Wolbachia

Maternally transmitted Wolbachia infect about half of insect species, yet the predominant mode(s) of Wolbachia acquisition remains uncertain. Species-specific associations could be old, with Wolbachia and hosts co-diversifying (i.e., cladogenic acquisition), or relatively young and acquired by horizontal transfer or introgression. The three Drosophila yakuba-clade hosts ((D. santomea, D. yakuba), D. teissieri) diverged about three million years ago and currently hybridize on Bioko and São Tomé, west African islands. Each species is polymorphic for nearly identical Wolbachia that cause weak cytoplasmic incompatibility (CI)–reduced egg hatch when uninfected females mate with infected males. D. yakuba-clade Wolbachia are closely related to wMel, globally polymorphic in D. melanogaster. We use draft Wolbachia and mitochondrial genomes to demonstrate that D. yakuba-clade phylogenies for Wolbachia and mitochondria tend to follow host nuclear phylogenies. However, roughly half of D. santomea individuals, sampled both inside and outside of the São Tomé hybrid zone, have introgressed D. yakuba mitochondria. Both mitochondria and Wolbachia possess far more recent common ancestors than the bulk of the host nuclear genomes, precluding cladogenic Wolbachia acquisition. General concordance of Wolbachia and mitochondrial phylogenies suggests that horizontal transmission is rare, but varying relative rates of molecular divergence complicate chronogram-based statistical tests. Loci that cause CI in wMel are disrupted in D. yakuba-clade Wolbachia; but, a second set of loci predicted to cause CI are located in the same WO prophage region. These alternative CI loci seem to have been acquired horizontally from distantly related Wolbachia, with transfer mediated by flanking Wolbachia-specific ISWpi1 transposons.
Behavioral Red Flags and Loss Sizes from Asset Misappropriation: Evidence from the US

Auditors use behavioral red flags (BRFs) to examine which individuals are more prone to unwarranted behavior such as corruption and asset misappropriation. Using a rich data set from the Association of Certified Fraud Examiners (ACFE), we analyze the impact of BRFs on loss sizes from asset misappropriation. We control for antifraud mechanisms established at the company level and other factors both at the individual and the firm level. Performing an exploratory factor analysis yields six factors for BRFs which capture the principal perpetrator's situation both at the private level and the workplace. A general wheeler-dealer attitude and financial distress significantly increase loss sizes. By contrast, we find no evidence that nonmonetary private problems lead to higher losses.
The Contribution of Methane Photoproduction to the Oceanic Methane Paradox

Although methanogenesis is considered a strictly anaerobic process, oxygen‐replete surface open‐ocean waters are usually supersaturated with methane (CH4), a phenomenon termed the oceanic methane paradox. Here, we report that abiotic methane photoproduction from chromophoric dissolved organic matter (CDOM) significantly contributes to this paradox. Methane photoproduction was observed during solar‐simulated irradiations of various waters collected along the land‐ocean continuum. Methane photoproduction rates decreased seaward, whereas its relative production efficiency and the methane‐to‐carbon‐monoxide (CO) photoproduction ratio (ΔCH4/ΔCO) both followed a reversed trend. Remote‐sensing modeling incorporating a ΔCH4/ΔCO–CDOM absorption relationship yielded an annual methane photoproduction of 118 Gg for the global open ocean, accounting for 20–60% of the open‐ocean methane efflux and being of comparable magnitude to the upper‐ocean methane microbial‐oxidation sink. The photodegradation of CDOM thus plays an important role in maintaining supersaturated methane concentrations in the oxygenated upper ocean and in sustaining oceanic methane emissions to the atmosphere.
Assessment of genetic diversity among low-nitrogen-tolerant early generation maize inbred lines using SNP markers

Low soil nitrogen (low-N) level is responsible for yield reduction in maize (Zea mays L.) fields in sub-Saharan Africa. A clear understanding of the genetic diversity among early generation inbred lines selected from various elite low-N- tolerant populations offers an opportunity to obtain lines that could be used in parental combinations to develop high-yielding low-N-tolerant maize hybrids. A total of 115 S3 lines derived from four low-N-tolerant populations were assessed for genetic diversity using 15 670 single nucleotide polymorphism (SNP) markers. The SNP markers were highly polymorphic with polymorphic information content ranging from 0.0 to 0.38. The genetic diversity among the inbred lines ranged from 0.0 to 0.50 and thus indicated the high level of dissimilarity among the inbred lines. The neighbour-joining clustering algorithm and model-based population structure classified the 115 lines into four distinct groups that were generally consistent with the genetic backgrounds of the inbred lines. The information obtained from this study revealed genetic diversity among the inbred lines and may guide the selection of potential parents for detailed combining ability studies and eventual use in hybrid combinations. The selected inbred lines would be invaluable in the development of low-N-tolerant hybrids.
Redundant Modular Codes for Development of Fault-Tolerant Systems of Satellite Identification

Hydrocarbon production in the Extreme North on unattended facilities is based on low earth orbit satellite (LEOS) systems for communications. Their information security can be improved by means of Identification-Friend-or-Foe (IFF) system for satellite. Authentication protocol based on modular codes(MC) makes it possible prior to communicating session to determine satellite status at minimum time consumptions. Such result is achieved due to parallel computations based on MC . However, MC can also detect and correct errors. Therefore, development of authentication protocol, where redundant MC are used for correction of errors occurring upon calculation of response to request from identification system, is an urgent problem. This work is aimed at improvement of fault tolerance of satellite identification system by means of the developed authentication protocol, where redundant MC are used for correction of errors occurring upon calculation of response to request from interrogator.
Assessing Caregivers’ Adherence to Child Primary Care Recommendations: Development and Validation of a Scale

ABSTRACT Introduction: Caregivers’ adherence to Child Primary Care (CPC) health recommendations is particularly relevant for the protection of children’s health and promotion of their optimal development. Nevertheless, there are currently no measures to assess it, as the majority of measures are focused on pharmacological treatment adherence instead of adherence to preventive health recommendations. Thus, this paper describes the development and validation of a new instrument to assess caregivers’ adherence to CPC health recommendations regarding children aged between 2 years and 6 years old, which would also be sensitive to the specificities of caregivers in more vulnerable conditions—the CPC-Adherence Scale. Methods: Six hundred sixty-two parents (93.4% women; 6.6% immigrant), living in Portugal and with children aged between 2 years and 6 years, participated in a cross-sectional study using a paper or electronic protocol. The protocol was composed by: (1) the CPC-Adherence Scale; (2) questions regarding experiences in CPC; (3) the European Task Force on Patient Evaluation of General Practice Care (EUROPEP); (4) socio-demographic information. Results: The exploratory and confirmatory factor analyses supported a 2-factor solution: (1) Adherence to a safe psychomotor development (n = 14 items; Cronbach’s Alpha = 0.894); (2) Adherence to nutritional counseling (n = 6 items; Cronbach’s Alpha = 0.608). The CPC-Adherence Scale showed good content and criterion-related validity. It discriminated levels of adherence of caregivers with different levels of knowledge about CPC recommendations, satisfaction with care and different socio-economic and immigrant t status. Discussion: The CPC-Adherence Scale is an innovative and promising measure that may play a relevant role on future research and intervention for the promotion of adherence behaviors in a primary prevention context.
Message Passing Neural Networks for Partial Charge Assignment to Metal–Organic Frameworks

Virtual screenings can accelerate and reduce the cost of discovering metal-organic frameworks (MOFs) for their applications in gas storage, separation, and sensing. In molecular simulations of gas adsorption/diffusion in MOFs, the adsorbate-MOF electrostatic interaction is typically modeled by placing partial point charges on the atoms of the MOF. For the virtual screening of large libraries of MOFs, it is critical to develop computationally inexpensive methods to assign atomic partial charges to MOFs that accurately reproduce the electrostatic potential in their pores. Herein, we design and train a message passing neural network (MPNN) to predict the atomic partial charges on MOFs under a charge neutral constraint. A set of ca. 2,250 MOFs labeled with high-fidelity partial charges, derived from periodic electronic structure calculations, serves as training examples. In an end-to-end manner, from charge-labeled crystal graphs representing MOFs, our MPNN machine-learns features of the local bonding environments of the atoms and learns to predict partial atomic charges from these features. Our trained MPNN assigns high-fidelity partial point charges to MOFs with orders of magnitude lower computational cost than electronic structure calculations. To enhance the accuracy of virtual screenings of large libraries of MOFs for their adsorption-based applications, we make our trained MPNN model and MPNN-charge-assigned computation-ready, experimental MOF structures publicly available.