Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Flourish in Female Adolescents by Maternal Character Strengths: the Mediating Role of Emotional Regulation

Purpose: The aim of this study was to predict Predicting flourish in female adolescents by maternal character strengths: the mediating role of emotional regulation. Methodology: This was an applied study conducted based on a descriptive-correlational design. The statistical population consisted of 3996 secondary high school students from Rey city during the academic year of 2018-2019. For sample size, a total of 350 students were chosen according to Kerjcie and Morgan’s table and using multi-stage cluster sampling. Research tools included an actualization questionnaire developed by Soleymani et al. (2015), Seligman and Peterson’s character strengths questionnaire (2004), and emotion regulation questionnaire (Gross and Jhon, 2003). The reliability of questionnaires was confirmed by professors and their credibility by Cronbach’s alpha ( α = 0.85). Data were analyzed through correlational tests and structural equations in Spss24 and Amos20. Findings: From the results, maternal character strengths directly (by a path coefficient of 0.65) and indirectly (through emotion regulation; with a Path coefficient of 0.21) influences girl’s actualization (p<0.001). Also, emotion regulation affects actualization with a Path coefficient of 0.58. Research variables predicted 51 % of the variance of secondary high school girl’s actualization (R 2 =0.51). Conclusion: Education and empowering character strengths, as well as regulating maternal emotions, improves girl’s actualization.
Analisis Pemahaman Pelajar pada Rambu Lalu Lintas

Tulisan ini bertujuan untuk menjelaskan dan menganalisis pengaruh pemahaman dan sikap pelajar SMP di Surabaya terhadap rambu lalu lintas. Metode yang digunakan adalah deskriptif kuantitatif. Pengumpulan data menggunakan teknik angke/kuisioner dan observasi. Penelitian ini menggunakan sampel sebanyak 178 siswa dengan teknik random sampling. Teknik analisis data ini dilakukan untuk mendapatkan seberapa besar pemahaman pelajar terhadap rambu lalu lintas, adapun teknik analisis data dalam penelitian ini dilakukan dengan menggunakan rumus metode analisis regresi linear dengan bantuan software SPSS. Setelah dilakukan sosialisasi tentang keselamatan berkendara dan rambu rambu lalu lintas dengan baik pengetahuan siswa SMP dapat meningkat. Dibuktikan dengan nilai hasil postest yang meningkat. Diharapkan pengetahuan yang diterima dapat diaplikasikan untuk keselamatan berkendara di waktu siswa sudah mendapatkan surat izin mengemudi. Hasil dari uji paired t test penelitian ini menunjukan bahwa responden mampu memahami materi yang telah diberikan dan sosialisasi berhasil.
Computational Prediction and Evaluation of Solid-State Sodium Superionic Conductors Na7P3X11 (X = O, S, Se)

Inorganic solid-state ionic conductors with high ionic conductivity are of great interest for their application in safe and high-energy-density solid-state batteries. Our previous study reveals that the crystal structure of the ionic conductor Li7P3S11 contains a body-centered-cubic (bcc) arrangement of sulfur anions and that such a bcc anion framework facilitates high ionic conductivity. Here, we apply a set of first-principles calculations techniques to investigate A7P3X11-type (A = Li, Na; X = O, S, Se) lithium and sodium superionic conductors derived from Li7P3S11, focusing on their structural, dynamic and thermodynamic properties. We find that the ionic conductivity of Na7P3S11 and Na7P3Se11 is over 10 mS cm–1 at room temperature, significantly higher than that of any known solid Na-ion sulfide or selenide conductor. However, thermodynamic calculations suggest that the isostructural sodium compounds may not be trivial to synthesize, which clarifies the puzzle concerning the experimental problems in t.
Self-control in sports

Imagine yourself walking to the gym in the rain after a long hard day at work. Picture yourself lifting heavy weights, even though you would prefer sitting on the sofa watching your favorite baseball team win a playoff match. Envision a marathon runner who keeps pushing herself during the final miles of a run, trying to override her thoughts of quitting the straining competition. These are just some sports-related examples of situations during which self-control processes enable us to keep striving for a desirable goal and suppress po-tentially tempting action alternatives. In general, “self-control refers to the capacity for alter-ing one’s own responses, especially to bring them into line with standards such as ideals, values, morals, and social expectations, and to support the pursuit of long-term goals” (Baumeister, Vohs, & Tice, 2007, p. 351) . However, self-control is not always applied effec-tively as, for instance, evidenced by the large number of gym dropouts every year (e.g., Eng-lert & Rummel, 2016). In this chapter, we will discuss empirical findings that highlight the importance of self-control for sports-related performance and we will introduce the theoretical accounts that try to explain why self-control sometimes appears to fail. Finally, we will discuss open research questions in order to improve our understanding of how self-control operates and why it is not applied at all times.
Effect of Melatonin on the Sleep Quality: A Systematic Review

Introduction:Sleep is one of the most important human needs affected by many factors. Sleep disorders, such as insomnia and delayed sleep, are very common and can affect the quality and quantity of sleep. The current systematic review aimed to evaluate the evidence on the effectiveness of melatonin treatment on sleep quality. Methods:The data on the effect of melatonin on sleep were collected using seven English databases, including Scopus, PubMed, Ovid, ProQuest, and Science Direct, as well as six Persian databases, including Iran Medex, SID, IRANDOC, Magiran, MEDLIB, and Noormags, from their inception up to the end of January 2020. English language, randomized clinical trials, human samples, and age of higher than 18 years were the main eligibility criteria. Nonrandomized clinical trials or those without a control group were excluded from the present study. Results: Seven articles met the eligibility criteria for being included in this review. In the aforementioned studies, the effect of melatonin therapy on sleep quality was assessed in 343 subjects. The majority (86%) of the studies confirmed the effectiveness of melatonin treatment on sleep quality. Conclusion: Melatonin as an orally administered drug had beneficial effects on sleep quality. These effects of melatonin attributed to more efficient healthier sleep, deeper sleep, longer sleep duration without causing fatigue and early morning drowsiness, and faster sleeping. One of the limitations of the present study was considered reviewing articles without the consideration of the medical conditions of the subjects. Moreover, the type of sleep disorder was not investigated in this review.
PARADOXES IN POLICY IMPLEMENTATION: State Defense Program Anomaly

ABSTRACTThis paper carries out an in-depth review of the implementation of state defense policies in Situbondo so far which is still not optimal. To conduct in-depth research in this paper the researcher uses qualitative research with a porposive approach in order to obtain valid, in-depth and proportional information. The results of the study concluded that: First, the implementation of state defense policy in Situbondo Regency is still not optimal in achieving its stated goals, because there is a paradox in its implementation. This paradox arises because in the implementation of state defense policies top down and ignores local potential, such as the role of charismatic kiai - social capital - which has a strong influence in the Situbondo community so far, so that it has a direct impact on the creation of regional stability, as one of the objectives of national defense. Secondly, because there is a paradox in the implementation of the country's defense policy, it eventually gave birth to an anomaly in the National Defense Program because the Ministry of Defense on one hand wanted the birth of as many national defense cadres, in order to maintain the country's existence from various threats. But on the other hand, in its implementation the Ministry of Defense is exclusive by ignoring the role of the kiai as a very important social capital in the area in encouraging the optimization of the State Defender Program in Situbondo.
Optimizing thienothiophene chain lengths of D–π–D hole transport materials in perovskite solar cells for improving energy levels and hole mobility

Although perovskite solar cells (PSCs) have recently achieved power conversion efficiencies (PCE) of over 23.6%, one major bottleneck for further improving the PCE is the lack of suitable hole transport materials. To further understand the structure–property relationship of hole transport materials and design new materials, we calculated the energy levels and optical properties of a series of thienothiophene derivatives by using density functional theory, and their hole transfer behaviors were also described by the Marcus charge transfer theory. It is found that the HOMO energies gradually decrease as the number of thiophene rings (n) increases when n is less than 4. However, when n is more than 4, the HOMO energy is a constant value of −5.23 eV. As for the LUMO energy and energy gaps, they show a similar change trend, that is, a gradual decrease with growing n. Optical calculations showed that thienothiophene extension cannot affect the Stokes shifts of thienothiophene derivatives. Importantly, it is found that the hole mobility of thienothiophene molecules is co-determined by the molecular size and odd or even number of thiophthene units, and all investigated thienothiophene molecules show higher hole mobility than Sprio-OMeTAD due to the face-to-face packing model. These results provide useful information to further develop suitable HTMs used in PSCs.
Chalcone dendrimer stabilized core–shell nanoparticles—a comparative study on Co@TiO2, Ag@TiO2 and Co@AgCl nanoparticles for antibacterial and antifungal activity

A series of core@shell nanoparticles (Co@TiO2, Ag@TiO2 and Co@AgCl) stabilized with zeroth generation triazolylchalcone dendrimer was synthesized using reduction transmetalation method. The coordination of chalcone dendrimer with silver ions was confirmed by UV–vis spectroscopy. The NMR spectrum ensures the number of protons and carbon signals in the chalcone dendrimer. The prepared samples were structurally characterized by XRD, FESEM and HRTEM analysis. The SAED and XRD analyses exhibited the cubic structure with dhkl = 2.2 Å, 1.9 Å and 1.38 Å. The antibacterial and antifungal activities of the dendrimer stabilized core@shell nanoparticles (DSCSNPs) were tested against the pathogens Bacillus subtilis, Proteus mirabilis, Candida albicans and Aspergillus nigir from which it is identified that the dendrimer stabilized core shell nanoparticles with silver ions at the shell (Co@AgCl) shows effectively high activity against the tested pathogen following the other core@shell nanoparticles viz Ag@TiO2 and Co@TiO2.
Understanding Impact of Twitter Feed on Bitcoin Price and Trading Patterns

‘‘Cryptocurrency trading was one of the most exciting jobs of 2017’’. ‘‘Bit- coin’’,‘‘Blockchain’’, ‘‘Bitcoin Trading’’ were the most searched words in Google during 2017. High return on investment has attracted many people towards this crypto market. Existing research has shown that the trading price is completely based on speculation, and its trading volume is highly impacted by news media. This paper discusses the existing work to evaluate the sentiment and price of the cryptocurrency, the issues with the current trading models. It builds possible solutions to understand better the semantic orientation of text by comparing different machine learning techniques and predicts Bitcoin trading price based on Twitter feed sentiment and additional Bitcoin metrics. We observe that the statistical machine learning model was able to better predict the sentiment of Twitter tweet feed compared to the advanced BERT model. Using Twitter feed sentiment and additional Bitcoin metrics, we were able to improve the prediction of bitcoin price compared to only using bitcoin’s previous day closing pricing.
Insights of Pharmaceutical Co crystals

Active pharmaceutical ingredients (API) and API drug products developments are facing impending challenges as approximately 60-70% of newly discovered APIs belong to biopharmaceutical classification system (BCS) Class II (poor solubility, good permeability) or BCS Class IV (poor solubility, poor permeability) which results in low oral bioavailability [1]. The conventional approaches of formulating API salts and amorphous APIs are also limiting because in most of these cases APIs either lack ionizable functionalities or do not have strong ionization to allow salt formation. Also, solubility enhanced amorphous form of APIs are thermodynamically unstable and are prone to transformation in more stable but less soluble crystalline form upon storage. Further, pH gradient across gastro intestinal 5track adds an additional challenge as some of these APIs possess variable pH dependent solubility and some are unstable or are prone to degradation. In this context, alternative approaches are being researched extensively.
Feedback on Teaching: Non-standard Minute Paper Methods

The importance of feedback in the learning and teaching context is widely recognised. In recent years, its primary focus has been on the provision of feedback to students, a unidirectional flow of information from educators to students on their formative and summative assignments. Feedback on teaching makes learning visible; however, this visibility depends on the teacher awareness of their impact on students. The uptake of end of class student feedback is relatively small in large classes. This paper reports on three lecturers’ account in collecting and responding to regular feedback on teaching in the School of Computing Science at the University of Glasgow. The lecturers’ accounts of their experience may be used as a starting point for educators willing to implement regular routine feedback on their teaching. Based on our experience, we propose guidelines emphasising structure and regularity in the collection of feedback on teaching.
Water adsorption on the surface of Ni‐ and Co‐based layer‐structured cathode materials for lithium‐ion batteries

Funding information Inha University Research Grant Abstract Ni-based layer-structured cathode materials are more vulnerable to moisture than conventional LiCoO2 cathodes, adsorbing more water and easily forming LiOH on the surface. This study investigated the moisture adsorption mechanism on the surface of layer-structured cathodes. The behavior of water molecules on LiCoO2 and LiNiO2 surfaces were simulated and the structural and chemical changes during the adsorption process were analyzed by first-principles methods. It was found that the adsorption occurs via two types of mechanism: one involving ionic interactions between Li on the crystal surface and O in the adsorbate, and the other involving covalent bonding between the transition metal (TM) on the surface and O in the adsorbate, which restores the coordination of the TM by recovering its broken bonds. The difference between the water adsorption behaviors of Ni-based and Co-based layer-structured cathodes was found to be mainly due to the ionic-interaction-driven adsorption on the (003) surface.
Local Binary Patterns and Its Extended Variants

ABSTRACT This paper focuses on the Local Binary Patterns and its various important variants. LBP is a non-parametric descriptor and used to extract, analyze, recognize and classify the different modality images. It summarizes the local patterns of image characteristics efficiently. LBP and its many extended versions have been extensively used in numerous applications of computer vision, image processing, pattern recognition and biomedical field in recent years. Very discriminative and computationally efficient local texture descriptors based on local binary patterns (LBPs) is studied, which led to significant progress in applying texture methods to different problems and applications. The efficiency and usability of the LBP operator and its success in various real world applications has inspired the development of much new powerful LBP variants. In this paper, the important extensions of LBP using local structure of the image are extensively reviewed. Keywords: Local binary pattern, texture, LBP, LTP
Driver distraction detection using machine learning algorithms: an experimental approach

Driver distraction is the leading cause of accidents that contributes to 25% of all road crashes. In order to reduce the risks posed by distraction, the warning must be given to the driver once distraction is detected. According to the literature, no rankings of relevant features have been presented. In this study, the most relevant features in detecting driver distraction are identified in a closed testing environment. The relevant features are found to be the mean values of speed and lane deviation, maximum values of eye gaze in y direction, and head movement in x direction. After the relevant features have been identified, pre-processed data with relevant features are fed into decision tree classifiers to discriminate the data into normal and distracted driving. The results show that the detection accuracy of 78.4% using decision tree can be achieved. By eliminating unhelpful features, the time required to process data is reduced by around 40% to make the proposed technique suitable for real-time application.
Analysis of the Impact of Johnson's Behavioral Model on Anxiety of Mothers of Children with Cancer

Background : Nowadays, cancer is one of the most critical health problems. The present study aimed to investigate the impact of the Johnson Behavioral Model on the anxiety of mothers of children with cancer. Methods : This empirical study was done on 66 mothers of children with cancer in the centers covered by children with cancer in 2020. The samples were selected using simple random sampling. Data were collected using the Spielberger demographic and anxiety inventory. After data collection, data analysis was done in SPSS18 using descriptive statistics and independent t-test, paired t-test, chi-square test, fisher, and covariance test. The significant level was set at 0.05. Results : The anxiety level was equal to 112.39±18.22 and 111±20.07 before intervention and equal to 81.21±6012 and 108.42±18.37 after the intervention in the intervention and control group, respectively. The independent t-test showed no significant difference between the two groups before the intervention (Pvalue=0.769). However, the difference was significant after the intervention (Pvalue<0.01). The paired t-test showed a significant difference between the two groups before and after the intervention in the intervention (Pvalue=0.001) and control (Pvalue<0.001) groups. Conclusions : The results obtained from this study showed that the Johnson theory plays a key role in reducing the anxiety of mothers of children with cancer. Keywords : Johnson Behavioral Model, Anxiety, Mothers of children, Cancer
Educational Thinking of the 21st Century and Perseverance of the Malay Value

The educational system and philosophy in the Brunei Darussalam has experienced twists and turns of development starting with the time of Resident until it became more intact with the SPN21. Global educational thought emphasizes various criteria such as focus on the students; critical thinking, creativity and innovativeness; thinking out of the box; integration of technology and various skills of the 21 st century; planned teaching and learning; dialogical teaching; differential teaching and so on and so forth. This paper work will prove how far the concepts that are presented in the 21 st century is in line with the values that has always been the Malay way of thinking. Next, this study will analyze the possibility of the educational thought or ideas of the 21 st century bringing universal values until it can be accepted and used by the education system at various countries. The objective of this study will unravel how far the mentioned values and thoughts are in line with the values and thoughts of the Malay people. Next, is to answer if there is any contradiction of the mentioned value and thought with the Malay Islamic Monarchy value that is the philosophy of the Brunei Darussalam. This study uses the text analysis method towards the Malay values that are in the Malay proverb and decree of the Kebawah Duli Yang Maha Mulia Paduka Seri Baginda Sultan Haji Hassanal Bolkiah about self-identity and concept of the Malay Islamic Monarchy.
Phytochemical screening and antimicrobial evaluation of ethanol extract and fractions of the leaf of Terminalia mantaly H. Perrier (Combretaceae)

Medicinal plants contain bioactive chemical substances that are active against external invaders such as pathogenic microorganisms. These bioactive chemicals are primarily manufactured by plant for self defense but have been employed in the treatment of infectious diseases that affect humans due to their therapeutic benefits. The aim of this study is to carry out the phytochemical screen and to evaluate the antimicrobial activity of ethanol extract and fractions of Terminalia mantaly leaf. Plant materials were powdered and macerated with ethanol. The crude extract was fractionated with n-hexane, chloroform, ethyl acetate and ethanol successively using column chromatography and silica gel as adsorbent. Qualitative phytochemical screening of basic plant secondary metabolites was carried out using standard procedures. The ethanol plant extract and fractions were reconstituted in dimethylsulphoxide (DMSO) to 200 mg/ml concentration and Agar well Diffusion method was used in the antimicrobial sensitivity screening of clinical strain of enteric microorganisms. Gentamicin and Ketonazole were used as reference standard antibacterial and antifungal drugs respectively. Two-fold dilutions from 200 – 25 mg/ml were done for sensitive extracts and fraction to determine the Minimum Inhibitory Concentration (MIC) and the results obtained were expressed as Mean ± SEM (Standard error of mean). The results of Phytochemical screening revealed the presence of secondary metabolites such as alkaloids, saponins, tannins, flavanoids, steroids and glycosides in the crude extract while the results of the general antimicrobial assay of the extract and fractions showed a comparable potency with gentamicin against Streptococcus pneumonia, Staphylococcus aureus, Escherichia coli and ketoconazole against Aspergillus niger and Candida albicans. The study validated the forkloric uses of this plant as antimicrobial agent scientifically.
Forecasting Carbon Dioxide Emissions, Total Energy Consumption and Economic Growth in Asian Countries Based on Grey Theory

This paper predicts the total energy consumption, carbon dioxide emissions and gross domestic product in eight Asian countries over the period 2019-2023. According to actual parameters, this article applied Grey models including GM(1,1), DGM(1,1) and DGM(2,1) to forecast the future value of three variables. By evaluating the results of the three forecasting models, the DGM(1,1) model has higher accuracy than others. The results of the study provide useful information for Asian policy makers in balancing economic development and environmental protection. Keywords— Carbon dioxide emissions, total energy consumption, economic growth, forecasting, grey models.