Miracle-dz/UniFAR-FTUs huggingface dataset:
Preparation of Vanadium Nitride Using a Thermally Processed Precursor with Coating Structure

A new effective method is proposed to prepare vanadium nitride (VN) via carbothermal reduction–nitridation (CRN) of the precursor, obtained by adding carbon black (C) to the stripping solution during the vanadium recovery from black shale. VN was successfully prepared at a low temperature of 1150 °C for only 1 h with a C/V2O5 mass ratio of 0.30 in N2 atmosphere, but a temperature of 1300–1500 °C is required for several hours in the traditional CRN method. The low synthesis temperature and short period for the preparation of VN was due to the vanadium-coated carbon structure of the precursor, which enlarged the contact area between reactants significantly and provided more homogeneous chemical composition. In addition, the simultaneous direct reduction and indirect reduction of the interphase caused by the coating structure obviously accelerated the reaction. The phase evolution of the precursor was as follows: (NH4)2V6O16·1.5H2O → V2O5 → V6O13 → VO2 → V4O7 → V2O3 → VC → VN. The precursor converted to V6O13 and VO2 completely after being calcined at 550 °C, indicating that the pre-reduction of V2O5 in the traditional CRN method can be omitted. This method combined the synthesis of VN with the vanadium extraction creatively, having the advantages of simple reaction conditions, low cost and short processing time.
Effect of Foliar Spraying by Some Bio and Organic Compounds on Growth, Yield and Chemical Composition of Snap bean Plants

Two field experiments were conducted during the two successive summer seasons of 2008 and 2009 at "Giza Governorate" to investigate the response of Snap bean plants to foliar spray by dry yeast at a rate of ( 2 and 4 g/l), amino green compound at a rate of (2 and 4 cm/l) and humic acid at a rate of (2 and 4 cm/l) on growth, yield and some chemical contents of Snap bean plants. The results indicated that, application of dry yeast compound as a foliar spray at a rate of 4 cm/l gave the maximum number of leaves compared with other treatments. In addition, the highest values of leaf dry weight, pods weight, total yield of snap bean and quality ( ascorbic acid and T.S.S ) were obtained by foliar application of 4 g/l dry yeast. The lowest amount of N-NO 3 in buds of Snap bean was recorded by using humic acid as a foliar spray at a rate of 4 cm/l. On the other hand, the highest amount of N-NO3 was recorded when amino green compound was used as a foliar spray at a rate of 4 g/l. The highest content of N and P were recorded by foliar spray of dry yeast at a rate of 4 cm/L. Meanwhile, the highest amount of K was given when humic acid was sprayed at a rate of 4 cm/L.
Harmonic mitigation in 18-pulse rectifier based on zigzag autotransformer by DC side auxiliary circuit

To improve the power quality of a multi-pulse rectifier, a zigzag 18-pulse uncontrolled rectifier with an auxiliary circuit at the DC side is proposed. When the grid-side currents are sinusoidal waves, the required DC side injection currents to be compensated can be obtained by analyzing the AC-DC side relationship of diode bridge rectifiers. Then the 6 compensation currents generated by an active auxiliary circuit are injected into the DC side to eliminate the grid-side harmonics of the rectifier. The simulation results verifying the correctness of the theoretical analysis show that the proposed rectifier can mitigate the harmonic content, as the total harmonic distortion of the grid-side current is about 1.45%. In addition, the single-phase inverter used in the active auxiliary circuit has the characters of simple circuit structure and easy controllability.
The Mediating Role of Corporate Governance on Corporate Social Responsibility and Shareholder Wealth Maximisation

: Corporate social responsibility has been a popular topic for these past few years. As far as the knowledge of the author, there is no study that examines the relationship of corporate social responsibility and shareholder wealth maximisation mediate by corporate governance. The main purpose of this paper is to provide a review of how corporate governance can mediate the relationship between corporate social responsibility and shareholder wealth maximisation. Moreover, this study refers to stakeholder theory as the underpinning theory for drawing up the conceptual framework of the relationship between corporate social responsibility, shareholder wealth maximisation, and corporate governance. There is plenty of research investigated the relationship between corporate social responsibility and shareholder wealth where most of it focuses on the developed and some of the developing countries. However, very minimum research that uses corporate governance as a mediator variable especially for this relationship. Therefore, this review forms a concept of corporate governance as a mediating variable for corporate social responsibility and shareholder wealth maximisation.
Outstanding Performance of Hole‐Blocking Layer‐Free Perovskite Solar Cell Using Hierarchically Porous Fluorine‐Doped Tin Oxide Substrate

Perovskite solar cells (PSCs) are of great interest in current photovoltaic research due to their extraordinary power conversion efficiency of ≈20% and boundless potentialities. The high efficiency has been mostly obtained from TiO2‐based PSCs, where TiO2 is utilized as a hole‐blocking, mesoporous layer. However, trapped charges and the light‐induced photocatalytic effect of TiO2 seriously degrade the perovskite and preclude PSCs from being immediately commercialized. Herein, a simplified PSC is successfully fabricated by eliminating the problematic TiO2 layers, using instead a fluorine‐doped tin oxide (FTO)/perovskite/hole–conductor/Au design. Simultaneously, the sluggish charge extraction at the FTO/perovskite interface is overcome by modifying the surface of the FTO to a porous structure using electrochemical etching. This surface engineering enables a substantial increase in the photocurrent density and mitigation of the hysteretic behavior of the pristine FTO‐based PSC; a remarkable 19.22% efficiency with a low level of hysteresis is obtained. This performance is closely approaching that of conventional PSCs and may facilitate their commercialization due to improved convenience, lower cost, greater stability, and potentially more efficient mass production.
Binding Data Analysis for Interaction of n- Alkyl Sulfates with Insulin

The binding data for interaction of a homologous series of n-alkyl sulfates with alkyl chain lengths from C8 to C12 with insulin were analyzed on basis of Hill equation for two classes of binding sites . The intrinsic Gibbs free energies were calculated and resolute on basis of electrostatic and hydrophobic contributions The estimation of these contributions reveals the major role of electrostatic interactions on first binding set and the minor one in the second.
Confirmation of aflatoxin in fish and shrimp by LC/MS-MS (ZEVO TQD)

Mycotoxins are agricultural contaminants of fungal origin occurring at all latitudes worldwide and being characterized by acute and chronic effects on human health and animal wellness, depending on the species sensitivity. Various types of crops like maize, wheat, soybeans etc are used as raw materials for preparing feed of fish and shrimp. They are particularly susceptible to infection by Aspergillus following prolonged exposure to a high humidity environment. For this reason, the fish and shrimp samples should be tested for identifying and quantifying mycotoxin. The major mycotoxins of food concern are aflatoxin (B1, B2, G1, G2) for its toxicity. This paper focus on the confirmation of aflatoxin in fish and shrimp by developing method and validated it by LC/MS-MS (ZEVO TQD) which is important for ensuring the safety of fishery product for human consumption. The monitored MRM transitions for B1, B2, G1, G2 were m/z 31357 and m/z 31371, m/z 31888 and m/z 318256, m/z 328.75242.99 and m/z 328.75199.9, m/z 330.3488 and m/z 330.34106 respectively. Limit of decision (CCα) for B1, B2, G1, G2 were 0.59 μg/kg, 0.70 μg/kg, 0.68 μg/kg, 0.83 μg/kg respectively and detection capability (CCβ) for B1, B2, G1, G2 were 1. 01μg/kg, 1.19 μg/kg, 1.15 μg/kg, 1.40 μg/kg respectively.
Survey of Machine Learning in Credit Risk

Machine learning algorithms have come to dominate some industries. After decades of resistance from examiners and auditors, machine learning is now moving from the research desk to the application stack for credit scoring and a range of other applications in credit risk. This migration is not without novel risks and challenges. Much of the research is now shifting from how best to make the models to how best to use the models in a regulatory-compliant business context. This article seeks to survey the impressively broad range of machine learning methods and application areas for credit risk. In the process of that survey, we create a taxonomy to think about how different machine learning components are matched to create specific algorithms. The reasons for where machine learning succeeds over simple linear methods is explored through a specific lending example. Throughout, we highlight open questions, ideas for improvements, and a framework for thinking about how to choose the best machine learning method for a specific problem.
Effects of Ethanol Extract from Soybean Meal on Plasma Lipid Level, Bile acid Concentration, Lipase Activity, Fecal Lipid Content and Weight Gain in Swiss Mice

This study aimed to examine the effects of ethanol-soluble components (Es) in soybean meal (SBM) on plasma lipid level, bile acid concentration, lipase activity and fecal lipid content in mice. The SBM was extracted with aqueous ethanol, then the supernatant was separated from the residue and dried to produce the Es. Four experimental diets were prepared and denoted as CD (standard diet, control), CD+Es10 (CD plus Es 10 g/kg), CD+Es20 (CD plus Es 20 g/kg) and CD+Es30 (CD plus Es 30 g/kg). Nine mice with an initial body weight of 31 g were allocated to each of 8 cages, resulting in two replicate cages per dietary treatment. For 3 weeks, the mice were fed the experimental diets ad libitum. The results showed that the final body weight and weight gain tended to be lower in mice fed diets supplemented with the Es, while feed intake did not differ among the treatment. Mice fed diets supplemented with the Es had lower plasma total cholesterol and triglyceride levels, inferior bile acid concentration and lipase activity in the intestine, but higher lipid content in feces as compared to those fed CD. The findings of the present study suggested that the Es in SBM negatively affected lipid digestion process in Swiss mice and could be used to reduce dyslipidemia and obesity.
Enhancing the Prediction of Early Readmissions Utilizing Translation Approaches

Hospitals around the world are penalized if patients are readmitted shortly after discharge. To reduce the number of such occurrences and the linked costs, a method to identify patients at risk is highly sought after. In previous work, various machine learning approaches have been investigated to build models which predict a patient’s early readmission risk. These approaches use only a single data source which usually is scarce. In this thesis, we want to examine the effect of using multiple data sources to address the scarcity issue, since more data usually leads to better models. Using Domain Translation, we combine the information from multiple datasets to generate synthetic data of high quality. This synthetic data is then merged with the real data to train a classification model which predicts whether or not a patient will be readmitted.
Characterizing Engineering Outreach Ambassadors' Teaching Moves during Engineering Design Activities (Fundamental)

Engineering outreach programs have the potential to significantly influence precollege youth; university-led engineering programs reach approximately 600,000 K-12 students each year in the United States. Despite the prevalence of these outreach programs, little is known about the nature of the discursive interactions between outreach ambassadors and participating youths and the ways in which these interactions support youths’ progress in engineering. Understanding the ways in which outreach ambassadors support youth to learn engineering is critical to furthering the effectiveness of these programs and contributes to greater understanding about how to support engineering in K-12 settings. Often, these programs are facilitated by undergraduate and graduate engineering ambassadors who themselves are developing as engineers and educators. In the context of an engineering outreach program for elementary students, this study examines the teaching moves of outreach ambassadors, adds to the understanding of their teaching moves, and offers preliminary conjectures about the impact of these moves on students. This study asks: What kinds of discursive teaching moves do outreach ambassadors enact when interacting with elementary student design teams?
How did the mental health of children and adolescents change during early lockdown during the COVID-19 pandemic in the UK?

BackgroundThe COVID-19 pandemic has caused extensive disruption to the lives of children and young people. Understanding the psychological effects on children and young people, in the context of known risk factors, is crucial to mitigate the effects of the pandemic. This study set out to explore how mental health symptoms in children and adolescents changed over a month of full lockdown in the UK in response to the pandemic.MethodsUK-based parents and carers (n = 2,673) of school-aged children and young people aged between 4 and 16 years completed an online survey about their child’s mental health at two time points between March and May 2020, during early lockdown. The survey examined changes in emotional symptoms, conduct problems and hyperactivity/inattention.ResultsThe findings highlighted particular deteriorations in mental health symptoms among pre-adolescent children, which translated to a 10% increase in those meeting possible/probable caseness criteria for emotional symptoms, a 20% increase in hyperactivity/inattention, and a 35% increase in conduct problems. In contrast, changes among adolescents were smaller (4% and 8% increase for hyperactivity/inattention and conduct problems respectively) with a small reduction in emotional symptoms (reflecting a 3% reduction in caseness). Overall, there were few differences in change in symptoms or caseness over time according to demographic characteristics, but children and young people in low income households and those with special educational needs and/or neurodevelopmental disorders, exhibited elevated symptoms (and caseness) at both time points. ConclusionsThe findings highlight important areas of concern in terms of the potential impact of lockdown on children and young people’s adjustment. Developing an understanding of who has been most severely affected by the pandemic, and in what ways, is crucial in order to target effective support where it is most needed.
miR-146a regulates TLR1/2 and 4 induced inflammation and links it with proliferation in human SZ95 sebocytes

Activation of Toll-like receptors (TLR) 1/2 and 4 are central in inducing inflammation in sebocytes and in the pathogenesis of acne by regulating the expression of protein coding mRNAs, however the microRNA (miRNA) profile in response to TLR activation and thus the possible role of miRNAs in regulating sebocyte functions has not been elucidated. In this work therefore, we aimed to identify the miRNA with the most abundant induction and to reveal its role in TLR1/2- and 4-activated SZ95 sebocytes. We found that miR-146a, detected with increased expression also in sebaceous glands of acne samples, showed the highest induction levels in the activated sebocytes. When exploring its role, we found that the increased levels of miR-146a led to the down-regulation of IL-8 secretion, decreased the chemoattractant potential and stimulated the proliferation of sebocytes, whereas the latter may be affected by GNG7 down-regulation. According to our results miR-146a may be a potential player in acne pathogenesis by regulating inflammation and by providing a link between inflammation and sebocyte proliferation.
The Dimension and Influence of Blue Ocean Leadership in Different Perspectives in Malaysia: A Systematic Review of the Literature

Blue ocean leadership is a contributing influence on organization operations from time to time. Much of the attention adjacent blue ocean leadership has aimed the different perspectives in an organization. In order to evaluate the variable of blue ocean leadership, its dimension needs to be identified. However, a lack of systematic reviews has been conducted on Malaysia's practitioner's dimension and influences (leader). Therefore, the aim of this article is to analyze the prevailing literature on Malaysian leaders related to the dimension and influence of Blue Ocean Leadership. A systematic review of Scopus, Google Scholar, and other resource databases, driven by the PRISMA Statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) review process, resulted in an established 10 related studies. Advance review of these articles occasioned in several main perspectives – employee engagement, strategic decision making, organizational politics, firm performance, and emotional intelligence. This paper will be served as a guidance for the implementation of BOL in other organizational context.
Investigating Changes in Household Consumable Market Using Data Mining Techniques

For an economic review of food prices in May 2019 to determine the trend of rising or decreasing prices compared to previous periods, we considered the price of food items at that time. The types of items consumed during specific periods in urban areas and the whole country are selected for our statistical analysis. Among the various methods of modelling and statistical prediction, and in a new approach, we modeled the data using data mining techniques consisting of decision tree methods, associative rules, and Bayesian law. Then, prediction, validation, and standardization of the accuracy of the validation are performed on them. Results of data validation in the urban and national area and the results of the standardization of the accuracy of validation in the urban and national area are presented with the desired accuracy.
Good Corporate Governance, Pengungkapan Sustainability Report dan Manajemen Laba terhadap Nilai Perusahaan

This study aims to examine and provide empirical evidence of the impact of good corporate governance and sustainability report disclosure on firm value with earning management as an intervening variable. The firm value measured by price to book value, good corporate governance measured by meeting frequency of audit committee and percentage of the independent commissioner on board, sustainability report disclosure measured by the number of items disclosed divided by the items regulated in the GRI, earning management measured by discretionary accruals. The sampling technique is purposive sampling. The number of samples used in this study is 42 companies listed on the Indonesia Stock Exchange in 2018-2019. The data are analyzed using path analysis. The results showed that the audit committee has a significant influence on earning management. Sustainability report disclosure and the independent commissioner have no significance to the earning management. Sustainability report disclosure and the independent commissioner have a significant influence on firm value. Audit committee and earning management have no significant influence on firm value. Earnings management does not mediate the relationship between audit committee, independent commissioners, and sustainability report disclosure on firm value. DOI: https://doi.org/10.26905/afr.v3i2. 5195
Adsorption of Metallic, Metalloidic, and Nonmetallic Adatoms on Two-Dimensional C3N

Two-dimensional polyaniline with a C3N stoichiometry is a newly fabricated material that is expected to possess fascinating electronic, thermal, mechanical, and chemical properties. The possibility of further tuning the C3N properties upon the adsorption of foreign adatoms is thus among the most attractive research. We carried out extensive ab initio density functional theory simulations to investigate the adsorption of various elements including nonmetallic, metalloidic, and metallic elements on the C3N monolayer. While pristine C3N acts as a semiconductor with an indirect electronic band gap; the functionalization with nonmetallic and semimetallic elements leads to a p-type doping and induces metallic behavior to the monolayer. On the contrary, metallic adsorption depending on the adatom size and the number of valence electrons may result in semiconducting, half-metallic, or metallic properties. Whenever metallic foreign atoms conduct metallic characteristics, they mostly lead to the n-type doping by el.
Prevalence of Generalized Anxiety Disorder (GAD) Among Saudi Medical Students and Associated Risk Factors

1 Department of Nursing, Faculty of Applied Medical Sciences, Tabuk University, Saudi Arabia. 2 Department of Radiological Sciences, Faculty of Applied Medical Sciences, Tabuk University, Saudi Arabia. 3 Department of Physical Therapy, Faculty of Applied Medical Sciences, Tabuk University, Saudi Arabia. 4 Department of Medical Laboratory, Faculty of Applied Medical Sciences, Tabuk University, Saudi Arabia. 5 Department of Statistics, Faculty of Science, Tabuk University, Saudi Arabia
Nanostructure Selectivity for Molecular Adsorption and Separation: the Case of Graphyne Layers

Graphynes are porous derivatives of graphene that can be considered as ideal 2D nanofilters. Here, we investigate by theoretical methods graphtriyne multilayers, proposing them as membranes featuring pores of subnanometer size suitable for CO2/N2 separation and CO2 uptake. The potential energy surfaces, representing the intermolecular interactions within the CO2/N2 gaseous mixtures and between the graphtriyne layers and the molecules, have been formulated in an internally consistent way, by adopting potential models far more accurate than the traditional Lennard-Jones functions, routinely used to predict static and dynamical properties of matter. The new force fields so obtained and tested on accurate ab initio calculations have been used to perform extensive molecular dynamics simulations of membrane selectivity and adsorption. The accuracy of the potentials granted a quantitative description of the interactions and realistic results for the dynamics under a wide range of conditions of applied interest, .
Decoding Grain Boundary Thermodynamics in High-Entropy Alloys in a 5D Space: Coupled Segregation and Disordering

Grain boundaries (GBs) can critically influence the microstructural evolution and various materials properties. However, a fundamental understanding of GBs in high-entropy alloys (HEAs) is lacking because of the complex couplings of the segregations of multiple elements and interfacial disordering, which can generate new phenomena and challenge the classical theories. Here, by combining large-scale atomistic simulations and machine learning, we demonstrate the feasibility of predicting the GB properties as functions of four independent compositional degrees of freedoms and temperature in a 5D space. Subsequently, GB counterparts to bulk phase diagrams are constructed for the first time for quinary HEAs. A data-driven discovery further reveals new coupled segregation and disordering effects in HEAs. Notably, an analysis of a large dataset discovers a critical compensation temperature at which the segregations of all elements virtually vanish simultaneously. While the machine learning model can predict GB properties via a black-box approach, a surrogate data-based analytical model (DBAM) is constructed to provide more physics insights and better transferability, with good accuracies. This study not only provides a new paradigm enabling prediction of GB properties in a 5D space, but also uncovers new GB segregation phenomena in HEAs beyond the classical GB segregation models.