Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconciling social enterprise: beyond the paradox perspective

PurposeThe paper aims to critically review the increasingly taken-for-granted view of social enterprise (SE) as inherently paradoxical and tackles the research question as follows: are the tensions experienced by SE and social entrepreneurs (SEnt) actually paradoxical and if not, what are the implications for theory and practice? Design/methodology/approachA paradox theory (PT) approach has been utilized to explore the implications, validity and helpfulness of the paradox perspective in understanding and managing the tensions that are inherent in SE.FindingsConceptualizing the primary tension of doing social good through commercial activity as a paradox is argued to be a limiting misnomer that conspires to reify and perpetuate the tensions that SE and SEnt have to manage. Drawing upon PT, the findings of the paper reconceptualize these tensions as myths, dilemmas and dialectics, which are subsequently used to develop a more complete ontological framework of the challenges that arise in SE and for SEnt.Practical implicationsReconceptualizing the “inherent paradoxes” of SE as either dilemmas or dialectics affords a means of pursuing their successful resolution. Consequently, this view alleviates much of the pressure that SE managers and SEnt may feel in needing to pursue commercial goals alongside social goals.Originality/valueThe work presents new theoretical insights to challenge the dominant view of SE as inherently paradoxical.
Two studies of the perceptions of risk, benefits and likelihood of undertaking password management behaviours

ABSTRACT Passwords remain the most common form of authentication in the digital world. People have increasing numbers of passwords, and many people undertake risky password management behaviours such as re-using passwords, writing them down and sharing them. It is unclear whether people persist in these behaviours because they do not understand the risks involved or the benefits of the behaviour outweigh the risk. Two studies investigated the relationships between people's perceptions of the risks and benefits of a range of password management behaviours and their self-reports of their likelihood of undertaking them. The first study involved 120 MTurkers in the U.S.A. , the second study involved 128 respondents from 26 different countries including approximately 50% students. In both studies, respondents took rated the risks, benefits and likelihood of undertaking 15 password management behaviours. The two very different samples provided very similar results, validating our classification of password management behaviours into four components: Storing, Sharing, Loggingn and Change behaviours. Somecomponents were more affected by perceptions of the benefits, others were equally affected by the perceptions of the risks and the benefits. These results have implications for how information about risky password behaviours is presented to users and general education about password security.
Predicting STC Customers’ Satisfaction Using Twitter

The telecom field has changed accordingly with the emergence of new technologies. This is the case with the telecom market in Saudi Arabia, which expanded in 2003 by attracting new investors. As a result, the Saudi telecom market became a viable market [1]. The prevalence of mobile voice service among the population in Saudi Arabia for that, this research aims at mining Arabic tweets to measure customer satisfaction toward Telecom company in Saudi Arabia. This research is a use case for the Saudi Telecom Company (STC) in Saudi Arabia. The contribution of this study will be capitalized as recommendations to the company, based on monitoring in real-time their customers’ satisfaction on Twitter and from questionnaire analysis. It is the first work to evaluate customers’ satisfaction with telecommunications (telecom) company in Saudi Arabia by using both social media mining and a quantitative method. It has been built by a corpus of Arabic tweets, using a Python script searching for real-time tweets that mention Telecom company using the hashtags to monitor the latest sentiments of Telecom customers continuously. The subset is 20 000 tweets that are randomly selected from the dataset, for training the machine- classifier. In addition, we have done the experimented using deep learning network. The results show that the satisfaction for each service ranges between 31.50% and 49.25%. One of the proposed recommendations is using 5G to solve the “internet speed” problem, which showed the lowest customer satisfaction, with 31.50%. This article’s main contributions are defining the traceable measurable criteria for customer satisfaction with telecom companies in Saudi Arabia and providing telecom companies’ recommendations based on monitoring real-time customers’ satisfaction through Twitter.
Relation of Low Serum Magnesium Level with Type 2 Diabetes Mellitus in Eastern India

Background: Odisha, a state in eastern India is swiftly becoming one among the diabetes hotspots in the country. Magnesium deficiency is implicated in poor glycemic status and various complications of diabetes. However, prevalence of hypomagnesemia is wide-ranging and its association with micro-vascular complications is contradictory. Purpose: To estimate the prevalence of hypomagnesemia in type 2 diabetes and determine its association with microvascular complications and glycemic status. Methods: A cross-sectional study was conducted on 165 type 2 diabetic patients. HbA1c was measured by HPLC method and serum Mg2+ was measured by colorimetric method. Serum Mg2+ level of <1.7mg/dl was defined as hypomagnesemia. Results: Hypomagnesemia was found in 12.1% (n=20) of patients. Retinopathy and microalbuminuria were found as 40% vs. 35.8 % and 30% vs. 20% between hypomagnesemia and normomagnesemia groups, respectively. Patients with poor glycemic control were more susceptible to have hypomagnesemia (16.5% vs. 3.5%) (OR: 5.314, 95% CI: 1.193-23.915, p=0.016). Moreover, HbA1c had significant inverse relation with serum Mg2+ (r= -0.3, p<0.001). Conclusion: Strict glycemic control or increased dietary intake of magnesium may decline the incidence of hypomagnesemia in diabetic patients.
JD-02-2021-0027_proof 42..64

Purpose – This study examines the information literacy practices of young video bloggers, focusing on the ways in which they construct their cognitive authority through a health-related information creation process. Design/methodology/approach – This study draws upon socially oriented information literacy research and nexus analysis as its methodological framework. Data, including YouTube videos, theme interviews and video diaries, were collected with three Finnish video bloggers and qualitatively analysed using nexus analytical concepts to describe the central elements of social action. Findings –The study shows that video bloggers employ several information practices during the information creation process, including planning, information-seeking, organization, editing and presentation of information. They construct their cognitive authority in relation to their anticipated audience by grounding it on different types of information: experience-based, embodied and scientific. Trustworthiness, emphasized with authenticity and genuineness, and competence, based on experience, expertise and second-hand information, were recognized as key components of credibility in this context. Originality/value – This study increases the understanding of the complex ways in which young people create information on social media and influence their audiences. The study contributes to information literacy research by offering insights into the under-researched area of information creation. It is among the few studies to examine cognitive authority construction in the information creation process. The notion of authority as constructed through trustworthiness and competence and grounded on different types of information, can be taken into account in practice by information professionals and educators when planning information literacy instruction.
Bus Travel Time Prediction: A Comparative Study of Linear and Non-Linear Machine Learning Models

Congested roads are a global problem, and increased usage of private vehicles is one of the main reasons for congestion. Public transit modes of travel are a sustainable and eco-friendly alternative for private vehicle usage, but attracting commuters towards public transit mode is a mammoth task. Commuters expect the public transit service to be reliable, and to provide a reliable service it is necessary to fine-tune the transit operations and provide well-timed necessary information to commuters. In this context, the public transit travel time is predicted in Tumakuru, a tier-2 city of Karnataka, India. As this is one of the initial studies in the city, the performance comparison of eight Machines Learning models including four linear namely, Linear Regression, Ridge Regression, Least Absolute Shrinkage and Selection Operator Regression, and Support Vector Regression; and four non-linear models namely, k-Nearest Neighbors, Regression Trees, Random Forest Regression, and Gradient Boosting Regression Trees is conducted to identify a suitable model for travel time predictions. The data logs of one month (November 2020) of the Tumakuru city service, provided by Tumakuru Smart City Limited are used for the study. The time-of-the-day (trip start time), day-of-the-week, and direction of travel are used for the prediction. Travel time for both upstream and downstream are predicted, and the results are evaluated based on the performance metrics. The results suggest that the performance of non-linear models is superior to linear models for predicting travel times, and Random Forest Regression was found to be a better model as compared to other models.
The Articulation of Lexical and Post-lexical palatalization in Korean

Palatalization in Korean is of two types lexical palatalization governed by language-specific phonological rules, and postlexical palatalization that appears to be purely phonetic. While lexical palatalization only occurs when a morpheme boundary intervenes between a target consonant and a palatalization trigger, post-lexical palatalization occurs irrespective of the presence of a morpheme boundary. This study investigates whether these two types of palatalization and different morphological structures of words manifest as distinct tongue gestures using ultrasound imaging of 4 native speakers of Korean. Comparison of the ultrasound tongue contours shows that the gestural distinction between lexical and post-lexical palatalization may not be the same across individual speakers. Furthermore, the effects of morpheme boundaries are not uniform across different coronal consonants and speakers in terms of tongue gestures. The findings from this study provide further empirical evidence for the role of morphological structures in coarticulation, and are in line with mounting evidence for speaker-specific variability in speech production.
FODDER QUALITY ANALYSIS OF OPEN POLLINATED SEEDLING SEED ORCHARD OF GREWIA OPTIVA DRUMMOND

should be limited to 200 words and convey the main points of the paper-outline, results and conclusion or the significance of the results. Introduction should give the reasons for doing the work. Detailed review of the literature is not necessary. The introduction should preferably conclude with a final paragraph stating concisely and clearly the aims and objectives of your investigation. Materials and Methods should include a brief technical description of the methodology adopted while a detailed description is required if the methods are new. Results should contain observations on experiment done illustrated by tables and figures. Use well known statistical tests in preference to obscure ones. Discussion must not recapitulate results but should relate the author's experiments to other work on the subject and give their conclusions. All tables and figures must be cited sequentially in the text. Figures should be abbreviated to Fig., except in the beginning of a sentence when the word Figure should be written out in full. The figures should be drawn on a good quality tracing/ white paper with black ink with the legends provided on a separate sheet. Photographs should be black and white on a glossy sheet with sufficient contrast. References should be kept to a minimum and listed in alphabetical order. Personal communication and unpublished data should not be included in the reference list. Unpublished papers accepted for publication may be included in the list by designating the journal followed by "in press" in parentheses in the reference list. The list of reference at the end of the text should be in the following format. 1. Witkamp, M. and Olson, J. S. 1963. Breakdown of confined and non-confined Oak Litter.Oikos. 14:138-
Connecting Theories of Emotional Intelligence and Emotion Regulation with Positive Psychology

In recent years, there has been an increased scientific interest in the area of emotional intelligence, specifically emotion regulation, as well as the field of positive psychology. Because of the vital role emotion regulation plays in enhancing individuals’ overall well-being, I suggest that it is crucial to connect the two disciplines. This paper conducts a literature review, introduces an overview of positive psychology, the science of well-being, and summarizes existing emotional intelligence and emotion regulation models. It then finds how theories and applications in positive psychology interrelate with research in emotion regulation—suggesting strategies on how to best respond to external and internal stimuli in a manner that maintains one’s overall well-being. I conclude this paper by comparing psychological findings around emotion regulation to parallel religious principles in Islam.
Prevention and Treatment of Postoperative Complications in Equines

Colic surgery is one of the most expensive procedures in equine clinics throughout the world. Although costs of surgery and anesthesia can be standardized to some extent, the cost of aftercare is less predictable. It can be altered considerably by the development of complications, such as surgical site infection, postoperative ileus, and formation of post-operative hernias, among others. Colic surgery places enormous demands on personnel, time, and resources. Nevertheless, it is a life-saving procedure. Complications increase cost through prolonged nursing care, technician salaries, extended treatment with antibiotics and other drugs, repeated laboratory analysis, and high-volume fluid therapy. Additional surgery, such as repeat celiotomy or repair of incisional complications, increases the costs considerably. Because none of these can be anticipated in most cases, a critical part of case management is a complete evaluation of expected and probable unexpected costs for the owner
Screening for SARS-CoV-2 persistence in Long COVID patients using sniffer dogs and scents from axillary sweats samples

Objectives: Dogs can be trained to identify several substances not detected by humans, corresponding to specific volatile organic compounds (VOCs). The presence of VOCs, triggered by SARS-CoV-2 infection, was tested in sweat from Long COVID patients. Patients and methods: An axillary sweat sample of Long COVID patients and of COVID-19 negative, asymptomatic individuals was taken at home to avoid any hospital contact. Swabs were randomly placed in olfaction detection cones, and the material sniffed by at least 2 trained dogs. Results: Forty-five Long COVID patients, mean age 45 (6-71), 73.3% female, with prolonged symptoms evolving for a mean of 15.2 months (5-22) were tested. Dogs discriminated in a positive way 23/45 (51.1%) Long COVID patients versus 0/188 (0%) control individuals (p<.0001). Conclusion:This study suggests the persistence of a viral infection in some Long COVID patients and the possibility of providing a simple, highly sensitive, non-invasive test to detect viral presence, during acute and extended phases of COVID-19.
Household Spending Responses to the Economic Impact Payments of 2020: Evidence from the Consumer Expenditure Survey

Using the Consumer Expenditure Survey and variation in amount, receipt, and timing of receipt of Economic Impact Payments (EIPs) authorized by the CARES Act, this paper estimates that people spent less of their EIPs in the few months following arrival than in similar previous policy episodes and than estimated by existing studies using other types of data. Accounting for volatility during the pandemic and comparing the consumer spending behavior of broadly similar households, people spent roughly 10 percent (standard error 3.4) of their EIPs on non-durable goods and services in the three months of arrival, with little evidence of additional spending in the subsequent three months or on durable goods. People who report mostly spending their EIPs spent 14.3% (3.7) of their EIPs compared to 5.9% (8.3) and -1.6% (5.0) for those who report mostly paying off debt and saving respectively. People with low liquid wealth and people receiving their EIPs on debit cards spent at higher rates: 21.7% (6.4) and 36.8% (24.6) respectively, with economically larger estimates for total spending. JEL codes: E21, E62, H31, D91
Measurement of ionization loss of 50 GeV protons in silicon with smoothly tunable up to 1 cm thickness using a single flat detector

Research of the ionization loss of 50 GeV protons, the path of which in the depleted layer of the silicon detector was smoothly regulated in the range from 0.3 to 10 mm, is presented. In the experiment, we used a flat silicon detector with a fixed thickness of the depleted layer of 300 μm. The smooth regulation of the path was realized due to the variation of the angle between the surface of the detector and the incident proton beam. The comparison of experimental data and theoretical calculations of the ionization loss demonstrates agreement in all range of thicknesses. Results of the research can be used in order to control the angle between the surface of the detector and the incident beam of relativistic particles. Besides, the results can be used in the analysis of data from astrophysical silicon detectors of charged particles if high-energy particles crossed flat detectors at arbitrary angle.
Prediction on Cardiovascular disease using Decision tree and Naïve Bayes classifiers

Machine Learning is an application of Artificial Intelligence where the method begins with observations on data. In the medical field, it is very important to make a correct decision within less time while treating a patient. Here ML techniques play a major role in predicting the disease by considering the vast amount of data that is produced by the healthcare field. In India, heart disease is the major cause of death. According to WHO, it can predict and prevent stroke by timely actions. In this paper, the study is useful to predict cardiovascular disease with better accuracy by applying ML techniques like Decision Tree and Naïve Bayes and also with the help of risk factors. The dataset that we considered is the Heart Failure Dataset which consists of 13 attributes. In the process of analyzing the performance of techniques, the collected data should be pre-processed. Later, it should follow by feature selection and reduction.
Predicting Mental Health Illness using Machine Learning Algorithms

Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality of life. Mental health is about one’s psychological, emotional, and social well-being. It affects the way how one thinks, feels, and acts. Mental health is very important at every stage of life, from childhood and adolescence through adulthood. This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy criteria. The five machine learning techniques are Logistic Regression, K-NN Classifier, Decision Tree Classifier, Random Forest, and Stacking. We have compared these techniques and implemented them and also obtained the most accurate one in Stacking technique based with an accuracy of prediction 81.75%.
AN OVERVIEW OF EMOTION-FOCUSED THERAPY

Emotion-focused therapy is an integrative approach based on humanisticexperiential therapy such as client-centered therapy and Gestalt therapy, attachment theory, and family systems theory. Emotion-focused therapy emphasizes the importance of emotions in psychotherapy and emotions are seen as the main components of interventions. It provides a unique framework for working with emotional processes, and use targeted techniques to trigger and transform clients’ emotional experiences. This review paper mainly aimed to address the fundamental aspects of emotion-focused therapy and emphasize the importance of emotionfocused therapy for clients and clinicians by providing information about the basic principles of emotion-focused therapy, the stages of the therapy process, fundamental emotion-focused therapy techniques, and the psychological problems in which emotion-focused therapy is effective. Considering that emotion-focused therapy is a relatively less applied approach compared to the other approach and emotion-focused therapy studies are relatively rare in the literature, this review paper may enable emotion-focused therapy to become a more frequently applied approach in clinics in Turkey and increase research on it.
Global Temperature Effects on Economic Activity and Equity: A Spatial Analysis

Since the first concerns about potential damages from climate change impacts, their economic assessment has emerged as one of the most challenging and controversial issues. While there is evidence of non-linear impact of climate change on economic activity at the country level, we use the highest resolution economic activity data available to revisit the relationship between climatic exposure and economic performance to investigate the potential distribution of future climate impacts across space. The increased detail of the economic processes involved allows us to study the impact of climatic stressors at the local level, explicitly accounting for spatial dependence and decreasing estimation biases. We find that the global optimal temperature maximizing economic activity is 9°C. As a result, a uniform increase of 1°C in temperature above the current grid-cell specific climatic conditions would reduce mean global economic activity by 7.9%. Extreme temperature events further exacerbate these negative impacts, one standard deviation increase in the frequency of warm spells could reduce mean global economic activity by approximately an additional 1.6%. The uneven distribution of impacts across grid-cells results in a significant worsening of income inequality both across and within countries. Gridcells with the lowest level of economic activity also experience the highest losses, while global average Gini coefficient increases from the historical value of 0.33 to 0.46 in 2100. Inequality will increase within all the major continents and regions, with the highest increases in South America and Asia.
A Relational Equality Bias: Women’s Narrative Engagement in Reading Chinese BL

Boys’ Love stories (BL) are a genre of male-male homosexual romance in China. The readers of BL typically are heterosexual young women. BL readers usually argue that they are fighting against traditional gender roles and at the same time promoting liberal social attitudes toward gay men. Some gay men and LGBT scholars criticize BL for reinforcing stereotypes. The current experiment assigned women participants to read either BL or heterosexual romances with identical plots and then self-report their reading experiences. Results suggest that women have a pro-BL bias, meaning they believe BL naturally depict more relationally equal romantic relationships than heterosexual romances. This bias leads to greater identification with characters and ultimately increases the narrative engagement with BL. These findings have important implications for understanding the effects of BL on stereotypical perceptions of gay men in Chinese society.