Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilization of mental health services among university students in Vietnam

Abstract This study aimed to describe mental health service utilization and examine associated factors among students in Vietnam. Data were collected at eight universities in Hanoi, Vietnam, in 2018 using an administered questionnaire. The total number of participants was 9,120 (95.1% response rate). Among students participating in our survey, 12.5% (95% CI: 10.9–14.1) with depression and/or anxiety symptoms used mental health service in the last 12 months. In the multivariable regression models, significant factors associated with mental health service utilization were marital status, types of housemate, mental health problems, physical activity, smoking status, and alcohol drinking. Our study made recommendations to stakeholders for improving mental health services utilization among students in Vietnam. These findings had important implications for future research on factors associated with mental health service utilization among university students.
Predictor of Instant Messaging Use among Students for Academic Purpose

This study was carried out to identify the predictors of instant messaging use for academic purposes among undergraduates at Faculty of Educational Studies in Universiti Putra Malaysia (UPM). Predictors studied were perceived usefulness, perceived ease of use, perceived enjoyment, perceived convenience, attitude toward use and behavior intention to use instant messaging for academic purposes. A total of 285 samples were selected from undergraduates. Data were collected in a quantitative manner using a questionnaire. The inferential statistic confirmed the significant positive relationship between perceived usefulness, perceived ease of use, perceived enjoyment, perceived convenience, attitude toward use and behavior intention with the use of instant messaging for academic purposes. All relationship was identified as moderate. Also, the multiple linear regressions analysis was used to identify predictors of six independent variables that contributed towards the use of instant messaging. Finally, the results showed the predictors of instant messaging use for academic purposes amongst students were the perceived usefulness, perceived convenience and attitude towards the use of instant messaging. The study indicated that when students feel by using the instant messaging is useful and convenience to them, they will use it. Besides that, positive attitudes towards using instant messaging is among critical factor for the students to use it. This finding further suggests that students in general positively view of instant messaging as a useful tool that supports them in communicating between peers and lecturers. This further suggests that instant messaging platforms are likely to have a positive perception and students feel pleased to use instant messaging as tools of communication.
Development of Gluten-Free Breads Using Andean Native Grains Quinoa, Kañiwa, Kiwicha and Tarwi

The aim of this study was to develop gluten-free breads using the flours of Andean native grains. The following native grains were used: quinoa (Chenopodium quinoa) Pasankalla variety, kiwicha (Amaranthus caudatus) Centenario variety, kañiwa (Cheopodium pallidicaule) Illpa Inia variety and tarwi (Lupinus mutabilis) Blanco de Yunguyo variety. The formulations of the breads with Andean grains flours were optimized using the Mixture Design and the Central Composite Rotational Design, analyzing the dough’s textural properties (firmness, consistency, cohesiveness and viscosity index), specific volume and crumb texture. Potato starch and xanthan gum were used in the preparation of the breads. The optimized formulations of the gluten-free breads with Andean grain flours were composed of quinoa (46.3%), kiwicha (40.6%), kañiwa (100%) and tarwi (12%) flours. The gluten-free breads developed showed acceptable specific volume and low crumb firmness and could help to improve the nutrition of celiac patients.
Clustering Improves the Goemans-Williamson Approximation for the Max-Cut Problem

MAX-CUT is one of the well-studied NP-hard combinatorial optimization problems. It can be formulated as an Integer Quadratic Programming problem and admits a simple relaxation obtained by replacing the integer “spin” variables xi by unitary vectors v→i. The Goemans–Williamson rounding algorithm assigns the solution vectors of the relaxed quadratic program to a corresponding integer spin depending on the sign of the scalar product v→i·r→ with a random vector r→. Here, we investigate whether better graph cuts can be obtained by instead using a more sophisticated clustering algorithm. We answer this question affirmatively. Different initializations of k-means and k-medoids clustering produce better cuts for the graph instances of the most well known benchmark for MAX-CUT. In particular, we found a strong correlation of cluster quality and cut weights during the evolution of the clustering algorithms. Finally, since in general the maximal cut weight of a graph is not known beforehand, we derived instance-specific lower bounds for the approximation ratio, which give information of how close a solution is to the global optima for a particular instance. For the graphs in our benchmark, the instance specific lower bounds significantly exceed the Goemans–Williamson guarantee.
Role of Carbon Nanofiber on the Electrical Resistivity of Mortar under Compressive Load

A nanomodified cement consisting of particles with in situ synthesized carbon nanofibers was developed to introduce a strong load-sensing capability of the hydrated binder matrix. The material was produced using chemical vapor deposition. The nanomodified cement contained 2.71 wt% of carbon nanofibers (CNFs). The electrical properties of the composite were determined. Several mortar samples were prepared by partially substituting ordinary Portland cement with 2, 4, 6, 8, and 10 wt% of the nanomodified cement. Additionally an ordinary Portland cement mortar was used as reference. The results show that the strongest piezoresistive response and therefore the best load-sensing was obtained for the mortar containing the highest amount of CNFs. This mortar contained 10 wt% of nanomodified cement. The fractional change in electrical resistivity of this mortar was 82% and this mortar had a compressive strength of 28 MPa.
Potential of Mangifera indica activated carbon for removal of chromium and iron

Abstract The heavy metals are exceptionally responsive at low fixations and can accumulate in the food web, causing extreme general wellbeing concerns. Remediation utilizing customary physical and substance techniques is uneconomical and creates huge volumes of compound waste. Bioremediation of risky metals has gotten impressive and developing enthusiasm throughout the years. Adsorption of Cr3+and Fe2+ from its aqueous solution on biosorbent Mango leaf powder (MLP) was prepared from matured Mango (Mangifera indica) leaves. The study was carried out by batch adsorption experiments using atomic adsorption spectroscopy upon various parameters used to assess their impact on the adsorption of metal ions. The achieved results evidenced the adsorption of Cr3+and Fe2+on MLP is better. The higher adsorption ability was shown about 237.5 and 227.5 mg/g respectively at 50 mg/L concentration of metal ions and 100 mg/L of MLP. Besides, the adsorption of Cr3+and Fe2+ on MLP was found to be fitted with the Freundlich isotherm. Thermodynamic results showed the sorption process is feasible, spontaneous, and endothermic. Kinetic parameters had shown that the adsorption of Cr3+ and Fe2+ ions found as pseudo-second-order kinetics; also this current study proposing that the adsorption process is presumably chemisorption. The consequences of this examination will be helpful for the expulsion of metals from water containing substantial metal ions. Further, this assessment is prescribed to recognize and evaluate the possible wellspring of those major and substantial metals to the wastewater. Thus, the current investigation emphatically prescribes the mango leaf powder used to expel the metals particles from wastewater.
Physical Properties, Flavor Characteristics and Antioxidant Capacity of Shimatogarashi (Capsicum frutescens)

Physical properties, flavor characteristics and antioxidant properties of the red mature peppers of Shimatogarashi (Capsicum frutescens) were compared to Takanotsume peppers (Capsicum annuum) as the control. Compositions of organic acids and capsaicinoids differed between the peppers. Malic acid was the prevalent organic acid in Shimatogarashi, while citric acid was prevalent in Takanotsume. Shimatogarashi had higher capsaicin and dihydrocapsaicin contents compared to Takanotsume. In terms of volatile compound compositions, the prevalent compounds in Shimatogarashi and Takanotsume peppers were hexanal and 10s,11s-himachala-3(12),4-diene, respectively. Overall, Shimatogarashi peppers were brightly colored, highly pungent with a fresh and fruity aroma, while Takanotsume peppers were dark red, moderately pungent with a warm and herbaceous aroma. As suggested by their total phenolic content and ORAC, Shimatogarashi peppers showed higher antioxidant activity compared to Takanotsume peppers.
Sampling, Filtering, and Analysis Protocols to Detect Black Carbon, Organic Carbon, and Total Carbon in Seasonal Surface Snow in an Urban Background and Arctic Finland (>60° N)

Black carbon (BC), organic carbon (OC), and total carbon (TC) in snow are important for their climatic and cryospheric effects. They are also part of the global carbon cycle. Atmospheric black and organic carbon (including brown carbon) may deposit and darken snow surfaces. Currently, there are no standardized methods for sampling, filtering, and analysis protocols to detect carbon in snow. Here, we describe our current methods and protocols to detect carbon in seasonal snow using the OCEC thermal optical method, a European standard for atmospheric elemental carbon (EC). We analyzed snow collected within and around the urban background SMEARIII (Station for Measuring Ecosystem-Atmosphere Relations) at Kumpula (60° N) and the Arctic GAW (Global Atmospheric Watch) station at Sodankyla (67° N). The median BC, OC, and TC in snow samples (ntot = 30) in Kumpula were 1118, 5279, and 6396 ppb, and in Sodankyla, they were 19, 1751, and 629 ppb. Laboratory experiments showed that error due to carbon attached to a sampling bag (n = 11) was <0.01%. Sonication slightly increased the measured EC, while wetting the filter or filtering the wrong side up indicated a possible sample loss. Finally, we discuss the benefits and drawbacks of OCEC to detect carbon in snow.
Regulatory roles of sugars in plant growth and development

In recent years, several studies have focused on the factors and mechanisms that regulate plant growth and development, as well as the functioning of signaling pathways in plant cells, unraveling the involvement of sugars in the processes regulating such growth and development. Saccharides play an important role in the life of plants: they are structural and storage substances, respiratory substrates, and intermediate metabolites of many biochemical processes. Sucrose is the major transport form of assimilates in plants. Sugars can also play an important role in the defense reactions of plants. However, it has been shown that glucose, sucrose, or trehalose-6-phosphate (Tre6P) can regulate a number of growth and metabolic processes, acting independently of the basal functions; they can also act as signaling molecules. Changes in the concentration, qualitative composition, and transport of sugars occur continuously in plant tissues, during the day and night, as well as during subsequent developmental stages. Plants have developed an efficient system of perception and transmission of signals induced by lower or higher sugar availability. Changes in their concentration affect cell division, germination, vegetative growth, flowering, and aging processes, often independently of the metabolic functions. Currently, the mechanisms of growth regulation in plants, dependent on the access to sugars, are being increasingly recognized. The plant growth stimulating system includes hexokinase (as a glucose sensor), trehalose-6-phosphate, and TOR protein kinase; the lack of Tre6P or TOR kinase inhibits the growth of plants and their transition to the generative phase. It is believed that the plant growth inhibition system consists of SnRK1 protein kinases and C/S1 bZIP transcription factors. The signal transduction routes induced by sugars interact with other pathways in plant tissues (for example, hormonal pathways) creating a complex communication and signaling network in plants that precisely controls plant growth and development.
Under pressure. Economic constraints, electoral politics and labour market reforms in Southern Europe in the decade of the Great Recession

Even when subject to comparable exogenous constraints during the Eurozone crisis and in its immediate aftermath, governments in Southern Europe have pursued distinct labour market reform agendas. What room for manoeuvre did governments of crisis-struck peripheral countries really have in shaping their labour market reform strategies, and how can we account for the observed variation? We address these questions by making a twofold contribution to the debate on the political economy of austerity in the Eurozone periphery. First, through the ﬁrst systematic analysis of all labour market and collective bargaining (CB) reforms implemented in Portugal, Spain, Italy and Greece over 2009–2019, we identify those elements of core labour market deregulation common across Southern European countries (namely, the loosening of employment protection for workers on open-ended contracts and the decentralisation of CB to the ﬁrm level); and those elements of variation, both cross-country and cross-party, in the content of corollary labour market interventions that accompanied this core deregulation. Second, we explain these similarities and variations in reform outcomes as the product of the interaction of two factors: economic constraints and electoral dynamics. We argue that the implementation of the common core of deregulation is linked to the exogenous pressure to improve export competitiveness to which Southern European countries have been subjected since the crisis. Through the combination of survey data analysis and qualitative evidence, we then show empirically how the variation in the corollary measures accompanying deregulation is linked to the class composition of the electoral social blocs Southern European partisan governments rely on or aim to assemble. Based on this analysis, we identify four ideal-typical labour market reformist strategies attempted by Southern European governments during the decade of the Great Recession. The analysis highlights that although domestic politics plays a crucial role in shaping structural adjustment under crisis conditions, not all reform strategies are equally viable within the framework of Economic and Monetary Union.
Policy and practice: including parents and students in school self-evaluation

As with school self-evaluation in most European countries, the Irish education system now promotes the involvement and inclusion of stakeholders such as parents and students in the evaluation process. Yet, in the Irish context, there is limited research exploring the role of these stakeholders in this internal mode of school evaluation. To address this lacuna, this research draws on a national survey of post-primary school principals and interviews conducted with 109 stakeholders now placed at the centre of the evaluation process: school staff, parents and students. While there are some optimistic indications in the data, this research highlights that only slight progress has been made in terms of including parents and students in school self-evaluation in Ireland. The data presented in this paper corroborate that many age-old obstacles in the Irish context still exist and continue to dominate. Ultimately, this research concludes that changes in policy do not necessarily produce changes in practice.
Optimum Digestible Valine to Lysine Ratio for Meat-Type Quails from 15 to 35 Days of Age

This study was conducted to estimate the dig. valine to lysine (Val:Lys) ideal ratio for meat-type quails from 15 to 35 d of age. A total of 385, 15-day-old not sexed quails, were randomly assigned to five treatments, each one seven times replicated with eleven quails per experimental unit. Experimental treatments consisted of five dig. Val:Lys ratios (0.65; 0.70; 0.75; 0.80 and 0.85). Ideal dig. Val:Lys ratio was estimated using polynomial regression and linear broken-line regression model. Significant effect was considered when p≤0.05. Feed conversion ratio was not affected by dig. Val:Lys ratios in any of the assessed phases. From 15 to 21 d of age Val:Lys ratios increased linearly feed intake, weight gain and body weight. From 15 to 28 d of age, weight gain and body weight were both optimized by the Val:Lys ratio of 0.77. A linear effect of dig. Val:Lys ratios was observed on weight gain and final body weight from 15 to 35 d of age. From 15 to 35 d of age, according to linear broken-line regression model, the dig. Val:Lys ideal ratios for optimum final body weight and weight gain were 0.77 and 0.76, respectively. Based on the results the estimated dig. Val:Lys ratio for optimum meat-type quail performance from 15 to 35 d of age is 0.77
Money Often Costs Too Much: A Study to Investigate The Effect Of Twitter Sentiment On Bitcoin Price Fluctuation

Introduced in 2009, Bitcoin has demonstrated a huge potential as the world’s first digital currency and has been widely used as a financial investment. Our research aims to uncover the relationship between Bitcoin prices and people’s sentiments about Bitcoin on social media. Among various social media platforms, micro-blogging is one of the most popular. Millions of people use micro-blogging platforms to exchange ideas, broadcast views, and to provide opinions on different topics related to politics, culture, science, and technology. This makes them a potentially rich source of data for sentiment analysis. Therefore we chose one of the busiest micro-blogging platforms, Twitter, to perform sentiment analysis on Bitcoin. We used ELMo embedding model to convert Bitcoin-related tweets into a vector form and SVM classifier to divide the tweets into three sentiment categories - positive, negative, and neutral. We then used the sentiment data to find its relation with Bitcoin price fluctuation using the linear mixed model.
IN-STORE BRAND COMMUNICATION: WHEN SHELF-SPACE AND DISPLAY SEDUCE CONSUMERS

Purpose of the study: This study aims at analyzing the role of shelf-space and display in stimulating impulse buying. Further, this study also covers the comparison between all shelf positions (regular-shelf, Chiller, and wings-rack) to get insights deeper into which one is the most effective in stimulating impulse buying. Methodology: By highlighting the case of a beverage brand in a hypermarket in Indonesia, the recent study uncovers the experiences and perceptions of 200 participants through an explanatory survey. The primary data collection has been done by distributing survey questionnaires to 200 target respondents located in Jakarta. The data collected have been analysed using SPSS software. Main Findings: Both shelf-space and display factors are found to have a positive and significant effect on impulse buying, where the former is found dominant. Various constructs in shelf-space such as the spaciousness-of-shelf, highness-of-traffic, largeness-of-shelf, easiness in finding the shelf, and in-store display communications such as the attractiveness-of-color, cleanness-of-display, neatness-of-display arrangement, the blocking-space, and the attractiveness-of-product arrangement emerge validly. Of the three objects studied, the chiller had the highest effectiveness compared to the regular-shelf and wings-rack in arousing the impulsivity of consumer purchases. This fact shows that the appearance of cold drinks seems to have a significant effect on consumers in causing impulse buying, especially for consumers in tropical countries like Indonesia. The seller or brand owner should consider this finding. Applications of this study: This study confirms the real, meaningful, and experiential visual power of in-store brand communications. So the brand can explore creatively and ergonomically as well as maximizing the potentials of visual communication, especially shelf-space and display in sales spaces as silent sellers. Novelty/Originality of this study: Few studies still pay attention to the role of in-store brand communications in encouraging impulse buying, especially in an era where the virtual shopping world is increasingly distracting researchers and marketers from the spark of communication events in the actual shopping space. This article proves how the attractiveness of in-store brand communications through shelf-space and in-store displays has a significant impact on impulse buying.
Reality of Linguistic Competencies of Pre-Service and In-Service Female Physical Education Teachers in the Sultanate of Oman

This study aims to identify the acquisition of linguistic competencies by pre-service physical education teachers at the College of Education, Sultan Qaboos University, and in-service physical education teachers in Muscat and Dhofar Governorates in Oman, as well as any statistical differences between these two groups. The population of the study consisted of 30 pre-service teachers and 28 in-service teachers. The observation card instrument was used to collect data. The results showed that the acquisition level of the linguistic competencies of pre-service physical education teachers was medium. However, the acquisition level of the linguistic competencies of in-service physical education teachers was high. Furthermore, there were significant differences between the acquisition level of linguistic competencies in pre-service and in-service teachers in favor of in-service teachers. Based on these findings, we recommend developing these competencies in pre-service teachers during the teacher education program by focusing particularly on planning, implementation, and assessment.
Combining ability and heterotic pattern in West African sorghum landraces

Heterotic grouping based on combining ability for traits of interest, in addition to plant performance and genetic relationship among germplasm, would be useful in planning crosses in breeding programmes. This study aimed at determining the combining abilities of selected landraces for morphological and physiological traits under contrasted environments and identifying the suitable heterotic grouping method for superior hybrid production. For this purpose, nineteen accessions representing different origins and population structure among West African Sorghum Accessions Panel (WASAP) and two female lines, were used in « Line x tester » mating design to produce thirtyeight (38) hybrids. Analysis of variance showed significant general combining ability and specific combining ability effects for grain weight, plant height, days to flowering, panicle length and chlorophyll content implying existence of heterotic responses for these traits. Both additive and non-additive gene effects were important in controlling the inheritance of the traits. Parents K31.3, K37 and Ni331 were the best combiners for grain weight, providing the opportunity for breeders to improve grain yield under diverse environments. AVG-1 x K31.3 and AVG-1 x Tg148 were the superior hybrids. Combining ability based heterotic grouping methods classified sorghum accessions into four groups. The heterotic group’s specific and general combining ability (HSGCA) method was the suitable in predicting hybrid superiority. This combining abilities based heterotic grouping study is an additional tool that breeders could use to identify the best parents for superior hybrids development in West Africa. Key Words : Combining ability, heterotic groups, sorghum, West Africa