Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of silicon solar cell architecture and cell interconnection on energy yield in hot & sunny climates

Extensive knowledge of the dependence of solar cell and module performance on temperature and irradiance is essential for their optimal application in the field. Here we study such dependencies in the most common high-efficiency silicon solar cell architectures, including so-called Aluminum back-surface-field (BSF), passivated emitter and rear cell (PERC), passivated emitter rear totally diffused (PERT), and silicon heterojunction (SHJ) solar cells. We compare measured temperature coefficients (TC) of the different electrical parameters with values collected from commercial module data sheets. While similar TC values of the open-circuit voltage and the short circuit current density are obtained for cells and modules of a given technology, we systematically find that the TC under maximum power-point (MPP) conditions is lower in the modules. We attribute this discrepancy to additional series resistance in the modules from solar cell interconnections. This detrimental effect can be reduced by using a cell design that exhibits a high characteristic load resistance (defined by its voltage-over-current ratio at MPP), such as the SHJ architecture. We calculate the energy yield for moderate and hot climate conditions for each cell architecture, taking into account ohmic cell-to-module losses caused by cell interconnections. Our calculations allow us to conclude that maximizing energy production in hot and sunny environments requires not only a high open-circuit voltage, but also a minimal series-to-load-resistance ratio.
Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching

Audio-visual matching aims to learn the intrinsic correspondence between image and audio clip. Existing works mainly concentrate on learning discriminative features, while ignore the cross-modal heterogeneous issue between audio and visual modalities. To deal with this issue, we propose a novel Adversarial-Metric Learning (AML) model for audio-visual matching. AML aims to generate a modality-independent representation for each person in each modality via adversarial learning, while simultaneously learns a robust similarity measure for cross-modality matching via metric learning. By integrating the discriminative modality-independent representation and robust cross-modality metric learning into an end-to-end trainable deep network, AML can overcome the heterogeneous issue with promising performance for audio-visual matching. Experiments on the various audio-visual learning tasks, including audio-visual matching, audio-visual verification and audio-visual retrieval on benchmark dataset demonstrate the effectiveness of the proposed AML model. The implementation codes are available on https://github.com/MLanHu/AML.
Perceived organizational injustice and counterproductive work behaviours: mediated by organizational identification, moderated by discretionary human resource practices

PurposeThis research unpacks the relationship between employees' perceptions of organizational injustice and their counterproductive work behaviour, by detailing a mediating role of organizational identification and a moderating role of discretionary human resource (HR) practices.Design/methodology/approachThe hypotheses were tested with a sample of employees in Pakistan, collected over three, time-lagged waves.FindingsAn important reason that beliefs about unfair organizational treatment lead to enhanced counterproductive work behaviour is that employees identify less strongly with their employing organization. This mediating role of organizational identification is less salient, however, to the extent that employees can draw from high-quality, discretionary HR practices that promote their professional development and growth.Practical implicationsFor management practitioners, this study pinpoints a key mechanism – the extent to which employees personally identify with their employer – by which beliefs about organizational favouritism can escalate into purposeful efforts to inflict harm on the organization and its members. It also reveals how this risk can be subdued by discretionary practices that actively support employees' careers.Originality/valueThis study adds to previous research by detailing why and when employees' frustrations about favouritism-based organizational decision making may backfire and elicit deviant responses that likely compromise their own organizational standing.
The Integration of Science in Islamic Science University of Malaysia: A Model for Islamic Study Development in UIN Imam Bonjol Padang

This study discusses the integration of science at USIM as a model for UIN Imam Bonjol Padang in discussing the philosophical design of Islamic studies after changing the status of the institution. This integration backgrounds at USIM are science and the local socio-cultural, the same condition also occurs at UIN Imam Bonjol Padang in Minangkabau by uniting religion and tradition as local wisdom. This research aims at analyzing the absorption of Islamic values ​​in the general sciences, elaborating the design of competitive Islamic studies, formulating models for the application of science integration at USIM, and predicting the opportunities and challenges of their application at UIN Imam Bonjol Padang. This study used qualitative methods to understand the phenomenon as a whole so that the research data are sourced from leadership informants, lecturers, institution managers, and documents collected through participant observation, interviews, focus group discussions, and documentation. The results illustrate that the integration of knowledge in USIM Malaysia has a uniqueness that can motivate and encourage the Muslim community to make it the first choice. The approach taken by USIM is comprehensive by uniting naqli and ‘aqli which are summarized in 7 USIM Terrace. This research can be used as a rule model for UIN Imam Bonjol Padang who is in a transition period of institutional status to compile an integrated Islamic study design based on Minangkabau local wisdom as a socio-cultural background to form loyal, knowledgeable, and cultured scholars, and participate in solving various problems of community life.
Principal component regression of the morphostructural traits of West African dwarf sheep

Evaluation of body weight and seven morphostructural traits (body length, wither's height, rump height, fore cannon bone length, chest depth, hip width and hearth girth) of 200 West African dwarf (WAD) sheep of age range 0-1, 1-2, 2-3 and 3-4 was used in determining age and sex effects using General linear model procedure. The sheep were traditionally managed in flocks of southern and north central Nigeria. Interdependence magnitude (redundancy) was estimated to be positive and significant through pearson's correlation estimates between body weight and linear body dimensions (r = 0.04 - 0.81, P<0.01). Among the linear type traits, highest correlation was observed between body weight and hearth girth in males (r = 0.85) and females (r = 0.81) respectively. Multicollinearity contrast at variance inflation factor (VIF) threshold 3.0 was found to be most associated with rump height, hearth girth and body length; with low tolerance modules. Collinearity effects were further orchestrated with computations of eigen values, condition indexes and variance proportions. The component solution through VARIMAX orthogonal rotation generated one principal component for WAD sheep of age range 0-2 years, and two principal components for age range 2-4 years, The principal component based on regression models revealed, body weight was best predicted from heart girth, and combination of rump height and wither's height measurements.
Long-Term Effect of Nitrogen and Tillage Management on Soil Carbon Pools in the Semiarid Northern Great Plains

ABSTRACT No-tillage and manure application effect on soil organic carbon (SOC) and total nitrogen (N) concentrations were studied under a 27-year-old 4-year rotation consisting corn (Zea mays L.)-soybean (Glycine max L.)-wheat (Triticum aestivum L.)-field pea (Pisum sativum L.). Under each crop, four applied N treatments were control, annual urea-N applications at the rate of 45 and 89 kg N ha−1, and composted beef cattle feedlot manure-N at the rate 179 kg N ha−1 applied once every four year. For each fertilizer treatment, no-till (NT) and conventional till (CT) were compared for basic soil properties, SOC, and total N within 0–15 cm soil. Manure application significantly reduced soil bulk density and increased SOC and total N over urea-N. Particulate organic matter, mineralizable N, and permanganate-oxidizable C fractions significantly related with SOC. Long-term manure additions and no-tillage had potential to improve soil compaction and maintain SOC over chemical fertilizer N and CT.
Coaching psychology interventions vs. positive psychology interventions: The measurable benefits of a coaching relationship

ABSTRACT Both Coaching Psychology and Positive Psychology programs have been empirically shown to enhance various aspects of well-being. Perhaps surprisingly, no study to date has directly compared the two approaches along various outcomes in adults. We randomly assigned 393 M.B. A students to attend 13 weeks of lectures, with accompanying practical exercises, in either Positive Psychology, Coaching Psychology, or Organizational Behaviour (control group). Though participants in both the Positive Psychology and Coaching Psychology groups experienced improvements (vs. the control group) in subjective well-being and psychopathology, Coaching Psychology participants experienced additional benefits – beyond those experienced by Positive Psychology participants, who did not differ from the control group – in goal attainment, self-insight, psychological well-being, and solution-focused thinking. The latter benefits may be attributable to Coaching Psychology’s capacity to enhance personal agency through goal-focused self-regulation, a key tenet of the coaching relationship. We suggest that this concept could inform future Positive Psychology programs.
How emotions and issue controversy influence the diffusion of societal issues with imagined audience on Facebook

ABSTRACT Message diffusion is associated with ‘going viral’ that many communicators strive for in spreading their words. The Elaboration Likelihood Model (ELM) provides a framework for the current study to understand the effects of emotions generated from a message on persuasion – how high- and low-effort processes of comprehending information influence people's decision in spreading societal issue-related Facebook posts. The researcher conducted a survey experiment to explore the effects of emotional response to societal issues on message diffusion. The findings suggest individuals’ diffusion decisions depend on issue controversy considering their imagined audience. Emotions trigger both cognitive and heuristic processing of information. The results reveal that message elaboration mediates the effects of both positive and negative emotion arousal on diffusing moderate-controversial issues to the more symmetrical audience. Positive and negative emotions were only directly associated with diffusion high-controversial issues to the symmetrical audience via Facebook. Theoretical contributions to ELM and practical implication of strategic communications were discussed.
Synthesis and Characterization of Polystyrene/Mesoporous Diatomite Composites via Activators Generated by Electron Transfer for Atom Transfer Radical Polymerization

Abstract Diatomite platelets were employed to synthesize different polystyrene/diatomite composites. Mesoporous diatomite platelets were used for in situ polymerization of styrene by activators generated by electron transfer for atom transfer radical polymerization to synthesize tailor-made polystyrene nanocomposites. FTIR spectroscopy and thermogravimetric analysis were employed for evaluating some inherent properties of the pristine mesoporous diatomite platelets. Nitrogen adsorption/desorption isotherm is applied to examine surface area and structural characteristics of the diatomite platelets. Evaluation of pore size distribution and morphological studies were also performed by scanning and transmission electron microscopy. Conversion and molecular weight determinations were carried out using gas and size exclusion chromatography, respectively. Addition of 3 wt% pristine mesoporous diatomite leads to increase of conversion from 78 to 95%. Molecular weight of polystyrene chains increases from 15800 to 20000 g·mol−1 by addition of 3 wt% pristine mesoporous diatomite; however, polydispersity index values increases from 1.14 to 1.38. Increasing thermal stability of the nanocomposites is demonstrated by thermogravimetric analysis. Differential scanning calorimetry shows an increase in glass transition temperature from 93.8 to 97.4°C by adding 3 wt% of mesoporous diatomite platelets.
Youth advocacy varies in relation to adult advisor characteristics and practices in gender-sexuality alliances

Abstract With growing attention to youth’s efforts to address sexual and gender diversity issues in gender-sexuality alliances (GSAs), there remains limited research on adult advisors. Do advisor characteristics predict their youth members’ advocacy? Among 58 advisors of 38 GSAs, we considered whether advisor attributes predicted greater advocacy by youth in these GSAs (n = 366) over the school year. GSAs varied in youth advocacy over the year. Youth in GSAs whose advisors reported longer years of service, devoted more time to GSA efforts each week, and employed more structure to meetings (to a point, with a curvilinear effect), reported greater relative increases in advocacy over the year (adjusting for initial advocacy and total meetings that year). Relative changes in advocacy were not associated with whether advisors received a stipend, training, or whether GSAs had co-advisors. Continued research should consider how advisors of GSAs and other social justice-oriented groups foster youth advocacy.
Volcanism and Volcanogenic Submarine Sedimentation in the Paleogene Foreland Basins of the Alps: Reassessing the Source-to-Sink Systems with an Actualist View

This work critically reviews the Eocene–Oligocene source-to-sink systems accumulating volcanogenic sequences in the basins around the Alps. Through the years, these volcanogenic sequences have been correlated to the plutonic bodies along the Periadriatic Fault System, the main tectonic lineament running from West to East within the axis of the belt. Starting from the large amounts of data present in literature, for the first time we present an integrated 4D model on the evolution of the sediment pathways that once connected the magmatic sources to the basins. The magmatic systems started to develop during the Eocene in the Alps, supplying detritus to the Adriatic Foredeep. The progradation of volcanogenic sequences in the Northern Alpine Foreland Basin is subsequent and probably was favoured by the migration of the magmatic systems to the North and to the West. At around 30 Ma, the Northern Apennine Foredeep also was fed by large volcanogenic inputs, but the palinspastic reconstruction of the Adriatic Foredeep, together with stratigraphic and petrographic data, allows us to safely exclude the Alps as volcanogenic sources. Beyond the regional case, this review underlines the importance of a solid stratigraphic approach in the reconstruction of the source-to-sink system evolution of any basin.
Uncertainty quantification for principal component regression

Abstract: Principal component regression is an effective dimension reduction method for regression problems. To apply it in practice, one typically starts by selecting the number of principal components k, then estimates the corresponding regression parameters using say maximum likelihood, and finally obtains predictions with the fitted results. The success of this approach highly depends on the choice of k, and very often, due to the noisy nature of the data, it could be risky to just use one single value of k. Using the generalized fiducial inference framework, this paper develops a method for constructing a probability function on k, which provides an uncertainty measure on its value. In addition, this paper also constructs novel confidence intervals for the regression parameters and prediction intervals for future observations. The proposed methodology is backed up by theoretical results and is tested by simulation experiments and compared with other methods using real data. To the best of our knowledge, this is the first time that a full treatment for uncertainty quantification is formally considered for principal component regression.
Experimental investigation of high temperature air and steam biomass gasification in a fixed-bed downdraft gasifier

ABSTRACT In order to enhance the quality of producer gas obtained from the biomass gasification process without the use of oxygen, high temperature air-steam gasification may be an advantageous technology. A highly preheated agent (air and steam) can provide additional energy into the process that improves thermal decomposition of the gasified biomass feedstock, and promotes endothermic reactions. In this investigation, the high temperature air-stream gasification process was performed on a fixed-bed downdraft biomass gasifier. The results showed that increasing the gasifying agent preheat temperature led to increased concentrations of H2 and CO and decreased contaminated tar in the producer gas. Increasing the equivalence ratio resulted in decreased H2 and CO concentrations and also reduced tar content. The introduction of steam increased gas quality, but excessive steam degraded gas quality. The increased higher heating value of the gasified gas varied between 4.15 and 6.21 MJ/Nm3.
Microelectronics Design in Educational Apps for Technical Education Learning in Pandemic Eras

In the educational sector where the study was conducted to determine effect of pandemics in the use of microelectronics in design of educational apps for online learning in technical education in Nigeria. The population for the study was 302 people made up of 264 technical college teachers in both public and private schools and 38 school administrators. The instrument for data collection was structured questionnaire. The return rate of the instrument was 96%. Three experts validated the instruments. A pilot study of 10 school administrators and 30 technical college teachers were conducted. Pearson Product Moment Correlation Coefficient was used to test for the reliability. The total reliability coefficient of ~. 79 was obtained for the instrument. Three research questions and three null hypotheses guided the study. Mean and standard deviation were used to answer the research questions, while t test was employed to test the null hypotheses at ~. 05 and ~. 01 levels of significance. Also, MATLAB application was used to give graphical views of critical relations in the study. The major findings were: (1) A good of number of private technical education have ICT facilities and staff than most public technical education schools. (2) There is no significant difference between the use of ICT skills of teachers in the pre-COVID-19 era because the F-tab of 6.64 and 18.0 at 5% and 1% levels of significances respectively as against F-cal of 0.0014. (3) There is significant difference on the income of technical education administrators since the introduction of EduApps in teaching and learning because the F-tab of 6.64 and 18.0 at 5% and 1% levels of significances respectively as against F-cal of 2.82. It was recommended that technical colleges should be well equipped with Internet of Things facilities and competent technology skilled technical teachers, ICT experts and functional computer laboratory in other to enhance the teaching and learning in technical education. http://dx.doi. org/10.4314/njt.v40i1. 13
Pollutant Removal in Stormwater by Woodchips

As urbanization continues, water pollution is of increasing concern for human health and the environment. Water contaminants common in urban stormwater include nutrients, metals, suspended solids, pesticides, and pathogens. The search for an inexpensive and readily available material that can effectively remove common stormwater contaminants is ongoing. Studies have shown that woodchips are a promising material that can remove many different contaminants, including these common contaminants and emerging contaminants of concern. The type of wood and shape of woodchips can impact the removal efficiencies of different contaminants due to different partitioning coefficients and capillary action. This review compiles studies on the ability of woodchips of different types to remove these common stormwater contaminants and emerging contaminants of concern. Overall, the literature demonstrated woodchips are an inexpensive and effective material that could be implemented for the removal of contaminants in urban stormwater.
Bibliometric Analysis of Zakat Research in Scopus Database

Scopus research paper on the zakat was systematically analyzed using the VOSviewer bibliometric measurement. A total of 492 citation data was exported from Scopus on the query of Zakat, and from the initial result, twelve journals were selected in the expanded query process. The journals are Journal of Islamic Accounting and Business Research, International Journal of Islamic and Middle Eastern Finance and Management, International Journal of Innovation Creativity and Change, Advanced Science Letters, and Iop Conference Series Earth and Environmental Science were selected in the query expansion and exported for data visualization in VOSviewer. Results from the journal query returned 492 documents specializing in research of zakat payment. Co-word or co-occurrence analysis was used to identify key themes, and potential future research direction was highlighted.
Comparative Efficacies of Antimigraine Drugs Using Nitroglycerin Induced Migraine Rats Model

Aim: The migraine pathology is still not explained effectively. There is a common relationship between anxiety, depression, and migraine. So the aim of the study to illustrate effectively the behavioural and biomarker changes in the migraine condition. Methods: Nitroglycerin (NTG) induced migraine rats model was used the present study. Twentyfive male Wistar rats were randomly divided into five groups. Ergotamine, sumatriptan, and BIBN4096 were used as antimigraine drugs. The behavioural activity was measured by scratching head, body shaking, and social interaction task. ELISA detected biomarkers like interleukin 6 (IL-6), Substance P (SP) and 5-hydroxytryptamine (5-HT) in various rats brain regions such as cortex, brain stem, trigeminal ganglion. Results: A significant reduction in hyperalgesic response and behavioral changes like scratching head, body shaking and social interaction task. Biomarkers like 5-HT, SP and IL-6 were significantly reduced in the various brain regions such as prefrontal cortex, brain stem and trigeminal ganglia of the rats in the BIBN4096 treated groups. Conclusion: The present study showed a good antimigraine efficacy with a calcitonin gene-related Original Research Article Maroky and Parthasarathy; JPRI, 32(43): 34-42, 2020; Article no.JPRI. 65180 35 peptide (CGRP) antagonistic agent BIBN4096 than ergotamine and sumatriptan but still lack of behavioural pattern, need to explore nonpharmacological intervention along with the drug treatment.