Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors associated with dengue fever patients attending primary health clinics in Kota Kinabalu

Background: Dengue fever infection has become a major public health concern in Malaysia with frequent epidemics occurring in urban areas. In Sabah, Dengue fever is among the 5 most reported communicable diseases and the district of Kota Kinabalu is among the top 3 districts with the highest number of dengue cases with 563 cases recorded in 2016. Aims and Methodolgy: This study aimed to determine the factors contributing or associated with dengue fever occurrence in Kota Kinabalu. A cross- sectional study was conducted among the primary health care clinic attendees in Kota Kinabalu. Data was collected via a set of structured questionnaires focusing on socio-demographic characteristic of participants, environmental characteristic of households, history of previous exposure to dengue fever, knowledge towards dengue fever and its vector, awareness on dengue fever and mosquito control and dengue fever prevention practices. Results and Recommendations: Among the 350 individual’s that participated in the interview, 53 were dengue fever cases. Subsequently, the prevalence of Dengue fever cases among the study population was calculated with prevalence in percentage concluded as 15.1%. Further analysis revealed that factors such as aged group by years, number of household occupants, staying at dengue outbreak areas, self – reported history of recent mosquito bites, indoor and outdoor storage of open water containers, installed house window screens, knowledge on dengue fever and its vector, practices of wearing protective clothing outdoor and usage of mosquito repellent ointment or creams showed significant association with dengue fever outcomes. However, further studies would need to be conducted to determine if these factors possess a higher threat or risk for dengue fever. Bangladesh Journal of Medical Science Vol.20(4) 2021 p.878-886
Unraveling the links between active and passive social media usage and seniors' loneliness: a field study in aging care communities

PurposeThe literature reports inconsistent findings about the effects of social media usage (SMU). Researchers distinguish between active and passive social media usage (ASMU and PSMU), which can generate different effects on users by social support and social comparison mechanisms, respectively. Drawing on social presence theory (SPT), this study integrates an implicit social presence mechanism with the above two mechanisms to explicate the links between SMU and seniors' loneliness.Design/methodology/approachData were collected from a field study by interviewing seniors living in eight aging care communities in China. Loneliness, social media activities and experiences with social media in terms of online social support (OSS), upward social comparison (USC) and social presence (SP) were assessed. Factor-based structural equation modeling was used to analyze the data.FindingsOSS can mediate the relationship between ASMU and seniors' loneliness. Moreover, SP mediates between ASMU, PSMU, and seniors' loneliness, and between OSS, USC and seniors' loneliness. OSS mediates the relationship between ASMU and SP, and USC mediates the relationship between PSMU and SP.Practical implicationsThis study shows that social media can alleviate seniors' loneliness, which could help relieve the pressures faced by health and social care systems. Social presence features are suggested to help older users interact with social health technologies in socially meaningful ways.Originality/valueThis study not only demonstrates that SP can play a crucial role in the relationship between both ASMU and PSMU and loneliness, but also unravels the links between SP and OSS, as well as USC.
The Expectancy-Value-Cost Light Scale to Measure Motivation of Students in Computing Courses

This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation. However, measuring motivation is complex, there are several scales already carried out to do that job, but only a few of them consider the longitudinal follow-up of motivation throughout the courses. The EVC Light was applied to 245 undergraduate students from four universities. The Omega coefficient, scale items intercorrelation, item-total correlation, and factor analysis are used to validate and measure the reliability of the instrument. Confirmatory and exploratory factor analyses supported the structure, consistency, and validity of the EVC Light scale. Moreover, a significant relationship between motivation and student results was identified, based mainly on the Expectancy and Cost factors.
Development of Crop Geometry for Drip Irrigated Rice Cultivation

Aims: To determine the effectiveness of the selected dripper spacing and dripper discharge rate on crop growth and yield parameters of rice crop and to determine the suitable variety and crop geometry for higher productivity and use efficiency of drip irrigations system. Study design: Experiment was conducted in strip plot design, method of establishment as main plot treatment viz., Direct seeded under raised bed (M1) and Transplanting under raised bed, varieties as sub-plot treatment viz., ‘ADT 54’, ‘TKM 13’ and‘ CR 1009 sub-1’(medium and long duration variety)and spacing as sub- sub-plot treatment viz., 20 x 10 cm , 20 x 20 cm , 25 x 25 cm and 20 x 40 x 10 cm (Paired row) . Place and duration of the study: Agricultural Engineering College and Research Institute, Kumulur, Tiruchirapalli district of Tamil Nadu during 2019-2021(two years) in sandy clay loam soil during Samba season Methodology: The growth and yield parameters viz., plant height, number of tillers and productivity tillers, number of filled grains, test weight and grain and straw yield was observed and economics on cost of cultivation, gross return, net return and BCR were calculated and water use efficiency and water productivity were calculated. Results: Studies showed that 90 cm lateral and 60 cm dripper spacing with 4lph is the optimum for rice cultivation under sandy clay loam soil. Combination of direct seeded rice in raised bed with medium duration variety ‘TKM 13’ in the spacing of 20x40x10 cm(paired row)was recorded higher grain yield(7075 kg/ha) and net return(Rs. 82526/ha), BCR (2.76 )and higher water use efficiency (7.69 kg./ha-mm) in drip irrigated paddy cultivation during Samba season. Conclusion: Direct seeding in raised bed with medium duration variety at the spacing of 20x40x10 cm along with other agronomic practices is the best for getting higher yield parameters, yield, net return, higher water use efficiency and water productivity in Samba (Rabi) season under drip irrigated rice cultivation.
“I think Canadians look like all sorts of people”: ethnicity, political leadership, and the case of Jagmeet Singh

Abstract Research into the impact of a politician's sociodemographic profile on vote choice in Westminster-style systems has been hindered by the relative sociodemographic homogeneity of party leaders. Past research has focused mainly on the evaluation of local candidates in the American context, but given that elections in plurality systems are far less candidate-oriented , the evaluation of local candidates tells us little about the prevalence of affinity or discrimination in other contexts. This article investigates the effect of political leaders' ethnicity on political behavior by looking at the case of Jagmeet Singh in Canada, the first federal party leader of color in the country's history. While the literature has shown that the gender of leaders in Canada can matter, little is known about the attitudes of Canadians toward party leaders of color specifically. We are interested in the evaluations of Singh and his party, as well as the shifts in voting intentions between elections in 2015 and 2019. We uncover affinity-based behaviors from individuals who identify as Sikh, as well as a negative reception of Singh's candidacy in Quebec.
Ethnomedicinal Study of the Use of Zingiberaceae by the Mentawai People in Siberut, West Sumatra, Indonesia

The Mentawai archipelago is situated to the west of mainland Sumatra and is part of the West Sumatra province. The Mentawai people are indigenous to this archipelago and are well known for their traditional healing practices performed by their Sikerei healers. Only a few studies on the traditional plant medicines of the Mentawai people have been published, which mostly suggest that Zingiberaceae is one of the most widely used families. This study examines the indigenous knowledge of Zingiberaceae by the Mentawai people living in Siberut. Field surveys were undertaken at four locations in the island where the Sikerei healers were interviewed directly to obtain information about medicinal treatments using plants from the Zingiberaceae family. Voucher specimens were collected, dried and deposited at the Herbarium of Andalas University (ANDA), Padang, West Sumatra. The study suggests that at least 32 Zingiberaceae species are used in the Mentawai’s traditional medicines. The floristic aspects, the plant part used, and the type of disease treated are discussed.
Pengaruh Status Quo, Herding Behaviour, Representativeness Bias, Mental Accounting, serta Regret Aversion Bias terhadap Keputusan Investasi Investor Milenial di Kota Surabaya

Investment activity in Indonesia steadily increases as more people become aware of the investment's value and potential returns. This study aims to determine the impact of status quo bias, herding behavior, representation, and mental accounting on the investment decisions of millennial investors in Surabaya. This study is conclusive because it used purposive and snowball sampling techniques to obtain samples by distributing online questionnaires—the research sample as many as 241 respondents. The analysis technique uses Structural Equation Model (SEM). This study focuses on millennial investors registered with the Indonesian Central Securities Depository (KSEI) and securities firms in Surabaya. The findings suggest that the variables status quo and regret aversion significantly bias investment decisions, whereas herding behavior, representativeness, and mental accounting do not affect investment decisions. Thus, this study can assist various parties, particularly millennial investors, pay more attention to their biases and be more cautious when making investment decisions
The International Authority Database

International organizations (IOs) are perceived as increasingly important, yet also severely challenged actors in world politics. How authoritative are IOs, how do they exercise authority, and how has their authority evolved over time? The International Authority Database (IAD) offers a novel measure of IO authority built from several aspects of an IO’s institutional design. We provide systematic data on how IOs exercise authority across seven policy functions, using a representative sample of 34 IOs, based on coding over 200 IO bodies, and covering the period 1920–2013. Empirical applications illustrate how the IAD advances our understanding of IOs in novel and important ways.
Anionic Polymers Composed of Dicarboxylic Acids and Uses Thereof

The present invention relates to biodegradable anionic polymer containing the re-routing Chemistry polymer subunits consisting of maleic anhydride, itaconic acid anhydride or citraconic acid and dicarboxylic acid monomers such. The free-radical polymerization method is used There for producing a polymer of the present invention. The polymers of the present invention provides a composition useful as an agricultural by being ion and the complexing and / or mixed with fertilizers or seed. A preferred product of the invention it is possible to improve the nutrient absorption by the plants being sprayed on the ground adjacent to the leaves of these plants or of plant growing.
Creating a Taxonomy of Business Models for Data Marketplaces

Data marketplaces can fulfil a key role in realizing the data economy by enabling the commercial trading of data between organizations. Although data marketplace research is a quickly evolving domain, there is a lack of understanding about data marketplace business models. As data marketplaces are vastly different, a taxonomy of data marketplace business models is developed in this study. A standard taxonomy development method is followed to develop the taxonomy. The final taxonomy comprises of 4 meta-dimensions, 17 business model dimensions and 59 business model characteristics. The taxonomy can be used to classify data marketplace business models and sheds light on how data marketplaces are a unique type of digital platforms. The results of this research provide a basis for theorizing in this rapidly evolving domain that is quickly becoming important.
Bridging the Gap between Academia and Industry through Students’ Contributions to the FIWARE European Open-Source Initiative: A Pilot Study

Although many courses in computer science and software engineering require students to work on practical assignments, these are usually toy projects that do not come close to real professional developments. As such, recent graduates often fail to meet industry expectations when they first enter the workforce. In view of the gap between graduates’ skills and industry expectations, several institutions have resorted to integrating open-source software development as part of their programs. In this pilot study, we report on the results of the contributions of eleven students to the FIWARE open-source project as part of their final year project. Our findings suggest that both teachers and students have a positive perception towards contributing to the FIWARE open-source initiative and that students increased their knowledge of technologies valued by the industry. We also found that this kind of project requires an additional initial effort for the students as well as for the instructor to monitor their progress. Consequently, it is important that the instructors have previous experience in FIWARE, as many of the students need help during the process.
Board effectiveness and school performance: a study of Australian independent schools

ABSTRACT This study examines whether board diversity, board practices, and principal influence over board decisions impact board effectiveness across independent schools in Victoria, Australia, and to what extent board effectiveness is associated with academic and financial performance of the schools. Analyses were based on survey data from board Chairs and board members within independent schools. Results show that diversity of board composition and board practices contribute to increased board effectiveness, whereas board effectiveness is less robust in schools with stronger principal influence over board-level decision making. The results provide an indication that while some board attributes (i.e., diversity of board composition and board practices) indirectly influence school performance through their positive association with board effectiveness, excessive influence of the principal over board-level decisions may impair board effectiveness.
Analysis of the Photo Conversion of Asphaltenes Using Laser Desorption Ionization Mass Spectrometry: Fragmentation, Ring Fusion, and Fullerene Formation

http://jpst.ripi. ir Journal of Petroleum Science and Technology 2018, 8(2), 57-69 © 2018 Research Institute of Petroleum Industry (RIPI) ABSTRACT The conversion or photo conversion of asphaltenes to polycyclic aromatic hydrocarbons (PAH’s) promoted by a laser source is analyzed using both experimental and theoretical methods. We propose that during measurements performed at an intermediate laser power, fragmentation to afford PAH’s and ring fusion to yield fused PAH’s (FPAH’s) may occur either within molecular clusters (resin case) or within molecular aggregates (asphaltene case) which are vaporized or sublimed after ionization by the laser source. These events change the initial molecular mass distribution (MMD) of the sample to a continuous statistical MMD that can be fitted to a log-normal distribution. At a high laser power, the experimental MMD is converted to a sequence of Cn bands (n is an even number) which are separated by a 24-amu, the characteristic of a mixture of fullerene compounds.
Invited Review: Ketosis Diagnosis and Monitoring in High-Producing Dairy Cows

This work reviews the current impact and manifestation of ketosis (hyperketonemia) in dairy cattle, emphasizing the practical use of laboratory methods, field tests, and milk data to monitoring this disease. Ketosis is a major issue in high-producing cows, easily reaching a prevalence of 20% during early postpartum when the negative energy balance is well established. Its economic losses, mainly related to decreasing milk yield, fertility, and treatment costs, have been estimated up to €250 per case of ketosis/year, which can double if associated diseases are considered. A deep relationship between subclinical or clinical ketosis and negative energy balance and related production diseases can be observed mainly in the first two months postpartum. Fourier transform infrared spectrometry methods gradually take place in laboratory routine to evaluates body ketones (e.g., beta-hydroxybutyrate) and probably will accurately substitute cowside blood and milk tests at a farm in avenir. Fat to protein ratio and urea in milk are largely evaluated each month in dairy farms indicating animals at risk of hyperketonemia. At preventive levels, other than periodical evaluation of body condition score and controlling modifiable or identifying non-modifiable risk factors, the ruminatory activity assessment during the peripartum seems to be a valuable tool at farms. We conclude that a technological advance progressively takes place to mitigate the effects of these metabolic diseases, which challenge the high-yielding cows.
Experimental and Numerical Investigation of 3D Dam-Break Wave Propagation in an Enclosed Domain with Dry and Wet Bottom

Dam-break flood waves represent a severe threat to people and properties located in downstream regions. Although dam failure has been among the main subjects investigated in academia, little effort has been made toward investigating wave propagation under the influence of tailwater depth. This work presents three-dimensional (3D) numerical simulations of laboratory experiments of dam-breaks with tailwater performed at the Laboratory of Hydraulics of Iskenderun Technical University, Turkey. The dam-break wave was generated by the instantaneous removal of a sluice gate positioned at the center of a transversal wall forming the reservoir. Specifically, in order to understand the influence of tailwater level on wave propagation, three tests were conducted under the conditions of dry and wet downstream bottom with two different tailwater depths, respectively. The present research analyzes the propagation of the positive and negative wave originated by the dam-break, as well as the wave reflection against the channel’s downstream closed boundary. Digital image processing was used to track water surface patterns, and ultrasonic sensors were positioned at five different locations along the channel in order to obtain water stage hydrographs. Laboratory measurements were compared against the numerical results obtained through FLOW-3D commercial software, solving the 3D Reynolds-Averaged Navier–Stokes (RANS) with the k-ε turbulence model for closure, and Shallow Water Equations (SWEs). The comparison achieved a reasonable agreement with both numerical models, although the RANS showed in general, as expected, a better performance.
Assessment of knowledge, attitude and practice of reporting of adverse drug reaction among family physicians in Surat city

Background: Majority of the patients first contact the family physicians (FP) for treatment. If adverse drug reaction (ADR) occurs necessary measures are taken and ADR managed but usually not reported. The present study was conducted to assess knowledge, attitude and practice of reporting of ADR among family physicians.Methods: The study was a prospective cross-sectional questionnaire based study. The correctly filled forms from 90 family physicians were analysed based on 20 questions (knowledge 10, attitude 5, and practice 5). Results: Majority of family physicians were aware regarding the occurrence of ADR and 59% of them were aware that all ADR should be reported. Most of (71%) the physicians do not know there is ADR reporting form. Majority of them (93%) are aware that reporting of ADR is necessary that will increase patient safety (92%). About 78% of physician were aware that ADR can be reported by any of health care professional. However, about 71% do not know how to report and where to report ADR. Only few of them (19%) have reported ADR.Conclusions: The family physicians of Surat have adequate knowledge about pharmacovigilance and aware that ADR should be reported. However, most of them have not reported any ADR due to various reasons.
Malleability of food values amid the COVID-19 pandemic

Food values are supposed to be stable. This paper tests this assumption by comparing food values before and during the coronavirus-19 pandemic. While the ranking of food values remains very similar, there are some interesting differences in the relative importance that consumers attached to food values before and during the pandemic. A substantial decrease in the importance that consumers attach to food safety was observed during the pandemic, while there was a moderate increase in the importance attached to taste, nutrition, appearance, convenience and origin. The changes in food values vary across sociodemographic groups. Implications of the results are discussed.
The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis

Background It is unclear which Early Warning System (EWS) score best predicts in-hospital deterioration of patients when applied in the Emergency Department (ED) or prehospital setting. Methods This systematic review (SR) and meta-analysis assessed the predictive abilities of five commonly used EWS scores (National Early Warning Score (NEWS) and its updated version NEWS2, Modified Early Warning Score (MEWS), Rapid Acute Physiological Score (RAPS), and Cardiac Arrest Risk Triage (CART)). Outcomes of interest included admission to intensive care unit (ICU), and 3-to-30-day mortality following hospital admission. Using DerSimonian and Laird random-effects models, pooled estimates were calculated according to the EWS score cut-off points, outcomes, and study setting. Risk of bias was evaluated using the Newcastle-Ottawa scale. Meta-regressions investigated between-study heterogeneity. Funnel plots tested for publication bias. The SR is registered in PROSPERO (CRD42020191254). Results Overall, 11,565 articles were identified, of which 20 were included. In the ED setting, MEWS, and NEWS at cut-off points of 3, 4, or 6 had similar pooled diagnostic odds ratios (DOR) to predict 30-day mortality, ranging from 4.05 (95% Confidence Interval (CI) 2.35–6.99) to 6.48 (95% CI 1.83–22.89), p = 0.757. MEWS at a cut-off point ≥3 had a similar DOR when predicting ICU admission (5.54 (95% CI 2.02–15.21)). MEWS ≥5 and NEWS ≥7 had DORs of 3.05 (95% CI 2.00–4.65) and 4.74 (95% CI 4.08–5.50), respectively, when predicting 30-day mortality in patients presenting with sepsis in the ED. In the prehospital setting, the EWS scores significantly predicted 3-day mortality but failed to predict 30-day mortality. Conclusion EWS scores’ predictability of clinical deterioration is improved when the score is applied to patients treated in the hospital setting. However, the high thresholds used and the failure of the scores to predict 30-day mortality make them less suited for use in the prehospital setting.