Miracle-dz/UniFAR-FTUs huggingface dataset:
Front-line professionals and local sport policy: a theoretical framework

Abstract In this article, the changing role of modern front-line professionals within the contemporary governance setting is explored. For this purpose, a thematical literature review was conducted. Several studies show that the character of professionalism has changed in relation to the changing governance setting, with its emphasis on the neighbourhood as a locus of addressing complex social issues. The main conclusion are (1) Connective capacities—the ability to address often complex social issues and work together with others—are more important than expertise and specialisation; (2) Front-line professionals apply ‘fixing strategies’ to bring together the objectives of government policies with the needs and concerns of the local community. This changing role of front-line professionals is illustrated with the case of community sport coaches in the Netherlands. On the basis of recent literature on governance and professionalism, a theoretical framework is introduced that brings together different governance models and corresponding forms of professionalism. Empirical study of how front-line professionals use these fixing strategies, and the dilemmas they face in trying to bring the different agenda’s together, can give important insight into the policy process. The presented framework can guide such studies, by illuminating the ‘local governance setting’ in which front-line professionals operate. It also questions the traditional distinction between politics and policy, and between policy and implementation. This implies that front-line professionals can no longer be seen as mere ‘implementers’ of public policy and that their work is inherently ‘political’.
Implementation of Rumor Detection on Twitter Using J48 Algorithm

The existence of rumors on Twitter has caused a lot of unrest among Indonesians. Unrecognized validity confuses users for that information. In this study, an Indonesian rumor detection system is built by using J48 Algorithm in collaboration with Term Frequency Inverse Document Frequency (TF-IDF) weighting method. Dataset contains 47.449 tweets that have been manually labeled. This study offers new features, namely the number of emoticons in display name, the number of digits in display name, and the number of digits in username. These three new features are used to maximize information about information sources. The highest accuracy is obtained by 75.76% using 90% training data and 1.000 TF-IDF features in 1-gram to 3-gram combinations.
The Path and the Pavement: (Pre)modern Landscapes of Ecotourism on the Jeju Olle Trail, South Korea

Abstract Urban and rural landscapes are tied to shifting modes of production and corresponding changes in social relations, and in South Korea are deeply entwined due to government development policies, including ecotourism. Ecotourism development often relies on a binary understanding of landscapes, and like all binaries, pre-modern and modern landscapes are inextricably interlinked. In this article, we examine the development of ecotourism on Jeju Island to discern how class struggles over material landscapes and discursively-produced, imaginary landscape ownership emerged through the creation of the Jeju Olle Trail, and how local people experienced individually and collectively the tensions of urban-centered modernization in South Korea that played out through ecotourism. We use the framework of political ecology to conceptualize class conflicts over material and imagined landscapes, specifically rural landscapes resulting from the uneven geographies of economic development of an Asian NIC (Newly Industrialized Country).
Catalysts Prepared with Matured Compost Derived from Mechanical-Biological Treatment Plants for the Wet Peroxide Oxidation of Pollutants with Different Lipophilicity

The current work proposes a strategy for the valorization of compost obtained from municipal solid waste, through its activation with H2SO4 and thermal treatment at 400–800 °C to produce low-cost catalysts for wet peroxide oxidation. All the developed materials were catalytically active for the aqueous solution oxidation of 2-nitrophenol (C2-NP,0 = 0.5 g L−1) and 4-nitrophenol (C4-NP,0 = 5.0 g L−1). In particular, using the catalysts prepared by thermal activation of the compost (with and without subsequent treatment with H2SO4), complete removal of both model pollutants was achieved after 24 h (at 50 °C, initial pH 3, Ccat = 2.5 g L−1, and employing a stoichiometric quantity of H2O2 needed for the total mineralization of the pollutants). In a cyclohexane–water mixture (simulating biphasic oily wastewater), 4-nitrophenol is also completely removed by the catalyst not treated with H2SO4. In contrast, the removal of 2-nitrophenol decreased to 93% due to its higher lipophilic character. Thus, this work demonstrates that active catalysts for wet peroxide oxidation can be obtained by using as a precursor a matured compost derived from municipal solid waste.
Personality Traits and Changes in Depression Symptoms in Female University Students

The present study aimed to investigate the course of symptoms of depression in female university students over a four-year period, while also exploring the predictive value of four personality traits with regard to symptoms of depression. The sample comprised 74 female first-year university students. Symptoms of depression were assessed using the Zung Self-Rating Depression Scale and were collected twice over a four-year interval, while the personality traits of extraversion, neuroticism, psychoticism and lie tendencies were assessed by the Eysenck Personality Questionnaire only at the baseline. The results revealed that after a four-year period the depression symptoms increased in intensity/frequency on 10 out of 20 items as well as in the summary score, and decreased only in diurnal variations, which wasfavourable outcome. Multiple regression analysis indicated that out of the four personality traits only neuroticism was a significant predictor of the summary depression score four years later. This means that young female students with higher scores in neuroticism, although still in the normal or average range, would very probably have a more pronounced and less well-regulated emotional response to a stressful period of their university education.
Revealing the Effect of Work-From-Home on Job Performance during the Covid-19 Crisis: Empirical Evidence from Indonesia

This study aims to determine the effect of work-from-home on job performance It proposes work environment, job satisfaction and work motivation as mediating variables, and answers how work-from-home affects employee performance through them The study has implications for business practitioner who intend to measure the effectiveness of their work-from-home policies This is especially pertinent during the coronavirus crisis The original contribution of this study lies within its questionnaire that has been attuned to changes caused by COVID-19 Data collection was completed by distributing an online questionnaire to workers in Indonesia The questionnaire with a Likert scale was sent to approximately 2720 employees by email and a link was also shared on social media The survey attracted 330 respondents To answer the research questions, this study used structural equation modelling The output revealed that working from home, employees experienced greater enjoyment, satisfaction and motivation thus enhancing job performance While the validity of this research is constrained in scope to how these benefits are manifested in Indonesia, there may be external validity among other countries affected by COVID-19
Molecular dynamics of a respiratory protein fragment in phospholipid monomolecular films

Molecular dynamics simulations of the fragment Mini-B of Surfactant Protein B were carried out in the NVT ensemble for simulation times ranging from 20 ns to 80 ns. These simulations were performed in DPPC:POPG monolayers and POPG monolayers at different cross-sectional areas per lipid, varying the initial depth and orientation of the peptide. Analysis was carried out to determine what depth the peptide can attain in the monolayers towards the end of the simulations. Secondary structure of the peptide was also examined, and it was found that in the majority of cases both alpha helices remained alpha helical to a reasonable degree in the monolayers. The tilt angles of the alpha helices of Mini-B in the DPPC:POPG monolayers seemed to show relatively small deviations from those of the corresponding structure determined in SDS micelles by NMR, provided that the peptide was placed at a low enough depth. A study was also performed to determine the effect of sodium ions on the interaction between the cationic Arginine and Lysine residues of Mini-B and the anionic phosphate headgroups of POPG.
BIOLOGICAL IMPORTANCE OF MICROBES IN AGRICULTURE, FOOD AND PHARMACEUTICAL INDUSTRY: A REVIEW

Biotechnology is the most prominent and rapidly growing segment of the biological sciences that is making its diversified application in sustainable agriculture. Biofertilizers, biopesticides, bioherbicides, bioinsecticides, and many of the other fungal based and viral based insecticides, obtained using microorganisms, are some of the outcomes of biotechnology playing a key role in sustainable agriculture. Many of other important food products are also obtained by microbial fermentation. Different microbes are added to get the desired effect of food at the specific stages of food production process. Pharmaceutical microbiology includes the manufacturing of different pharmaceutical and medicinal products. This review article has a wide overview of microbes mainly used in agriculture, food industries, and pharmaceutical industries.
A Joint Embedding Method of Relations and Attributes for Entity Alignment

Entity alignment is to link the entities that point to same objects in the real world among different knowledge graphs (KGs). Existing kn10owledge-embedding-based entity alignment methods mostly regard KG as relation triples, while ignoring attributes and attribute values in KG. However, attribute information provides a valid information supplement for relation triple, alleviates relation triple's relation universality problem and information incompleteness problem, and improves accuracy of entity alignment task. In this paper, we make the first attempt towards combing relation and attribute triples for entity alignment. We divide a KG into relation triples and attribute triples, use parameter sharing (PS) joint method and translation-based knowledge embedding methods to embed them jointly. In addition, we design two strategies: direct accumulation and weight assignment strategy, to explore the effect of relation and attribute triple's embedding on experiment performance. The experimental results show that our method has significantly improved Hits@1, Hits@10 and Mean Rank metrics compared to baseline, and is the state of the arts on entity alignment task. The source code for this paper is available from https://github.com/ChengRui536/RAKRL.
Measuring Racist Aggressions on Social Media and the Effects on U.S. College Students of Color: An Instrument Validation

Abstract The Racist Aggressions on Social Media (RASM) survey, with adapted scales to social media, was developed and tested. Results indicate that the instrument yields reliable and valid scores to measure the impact of racist aggressions encountered on social media by U.S. college students of color, and on their college experiences.
Pemulihan Ekonomi Pariwisata Bali di Era New Normal

Tourism is a very important sector in the income of the Indonesian economy in general and Bali in particular. Bali is a contributor to more than one third of the number of foreign tourists visiting Indonesia each year. Nature, customs and culture are the main factors that attract tourists to visit Bali. This greatly affects the economy of the Balinese people, because most of them are engaged in the tourism industry. The Covid-19 pandemic in all parts of the world, and also hit Indonesia, has an impact on the economic sector of Bali's tourism. The decline in Bali's tourism economy and the steps being taken to overcome the Covid-19 pandemic are very interesting to study. This study aims to explore the economic recovery of Bali's tourism in a new normal era. This research uses descriptive qualitative method. The results of this study indicate that it takes a long time to improve the tourism economy of Bali, so that recovery steps are needed. Starting July 9, the Provincial Government of Bali implemented the New Normal policy. This policy is implemented in collaboration with all components of Balinese society. Keywords : Tourism Economy, New Normal
Perceived Produce Availability and Child Fruit and Vegetable Intake: The Healthy Communities Study

Children eat more fruits and vegetables when more are available at home, but less is known about how the neighborhood food environment relates to children’s diet and weight outcomes. The goal of this study was to determine whether parental perception of the food environment (neighborhood and home) is associated with children’s fruit and vegetable (F&V) intake and weight outcomes, and to assess differences by household food security status and household income. Cross-sectional data from the 2013–2015 U.S. Healthy Communities Study included 5138 children, aged 4 to 15 years old, from 130 U.S. communities. Neighborhood and home food environments were assessed with parent-reported, perceived F&V availability scores. Associations were tested with multi-level linear regression models. Parents’ perception of produce availability was associated with household F&V availability ratings (β = 0.09 points, p < 0.001). Household F&V availability was associated with child F&V intake (β = 0.32 cups/day or 25.6 g/day, p < 0.001). A higher child F&V intake was associated with a lower child BMI z-score (β = −0.05, p = 0.002). Weaker relationships were seen for children living in food insecure or low-income households. Optimizing neighborhood and home access to F&V may help children improve diet quality, but may not be as effective for children living in food insecure or low-income households.
Atherogenic risk assessment of naive HIV-infected patients attending Infectious Diseases Service of Kinshasa University Teaching Hospital, Democratic Republic of the Congo (DRC)

Background and aim: Metabolic abnormalities are common in HIV/AIDS. Increasingly, lipid ratios are used as screening tools for dyslipidaemia in these medical conditions. The aim of this study was to assess the ability of 4 lipid ratios to predict cardiovascular risks. Methods: This is a cross-sectional and analytical study included 105 HIV+ patients followed in Kinshasa University Teaching Hospital (KUTH). Four indices [Atherogenic Index of Plasma (AIP), Castelli Risk Index (CRI) I and II, Atherogenic coefficient (AC)] were compared. Statistical analyzis consisted of measuring frequencies and means, Student’s t-tests, ANOVA and Ficher’s exact test, and the calculation of the Kappa value. Results: Lipid ratios predicted respectively the risk in 62% (AIP), 28.6% (CRI-I) and 23.8% (CRI-II). CRI-I and II were elevated, especially in women. The AIP appeared to be a better predictor than CRI-I and II to assess dyslipidaemia in general and the high-risk frequency. The cholesterol detected risk in 66.7% (Low HDL-C), 50% (High LDL-C), 38.9% (High TC and/or TG). The atherogenic risk was higher with age, advanced WHO stage, HIV-TB, HBV-HCV co-infections, smoking and alcohol intake. Haemoglobin (Hb) and CD4 counts were low when the risk was high. Age ≥ 50 years, stage 4 (WHO), CD4s+ ≤ 200 cells/µL were independent factors associated with atherogenic risk. Conclusion: Lipid ratios can be used as reliable tools for assessing cardiovascular risk of naïve HIV-infected patients who received HAART.
Real‐time moving object detection and removal from 3D pointcloud data for humanoid navigation in dense GPS‐denied environments

Robot perception in dynamic confined unstructured environments is a challenging task due to unanticipated changes that take place in the surroundings. Although 3D perception sensors are able to capture terrain topology with high precision, the interim variations between collected sensor data that are caused due to the motion of moving entities with respect to the robot lead to noisy mappings of the environment. In this article, a real‐time 3D perception filter is presented that is capable of detecting and eliminating moving point clusters from the input pointcloud data collected in an indoor environment. Using LiDAR and IMU sensors the proposed mechanism can help in precise 3D pointcloud map generation in dynamic and unstructured GPS‐denied environments. In this article, a novel approach has been proposed based on the concepts of data clustering, relative motion, pointcloud change detection and confidence tracking. The novelty of this approach lies in its ability to detect within cluster movements and the proposal of a generic tracking method for handling inconsistent motion of objects typically found in indoor environments. For the detection of moving objects, the proposed mechanism does not require any prior knowledge about the target entity. For pointcloud preprocessing, a ground plane removal approach has been proposed based on voxel grid covariance along the axis normal to the ground. The approach was experimented on a humanoid robot in indoor office environments using Velodyne VLP‐16 LiDAR and Intel T265 IMU. The results show that the proposed approach is efficient in detecting indoor moving objects in real time.
An Affective and Cognitive Toy to Support Mood Disorders

Affective computing is a branch of artificial intelligence that aims at processing and interpreting emotions. In this study, we implemented sensors/actuators into a stuffed toy mammoth, which allows the toy to have an affective and cognitive basis to its communication. The goal is for therapists to use this as a tool during their therapy sessions that work with patients with mood disorders. The toy detects emotion and provides a dialogue that would guide a session aimed at working with emotional regulation and perception. These technical capabilities are possible by employing IBM Watson’s services, implemented into a Raspberry Pi Zero. In this paper, we delve into its evaluation with neurotypical adolescents, a panel of experts, and other professionals. The evaluation aims were to perform a technical and application validation for use in therapy sessions. The results of the evaluations are generally positive, with an 87% accuracy for emotion recognition, and an average usability score of 77.5 for experts (n = 5), and 64.35 for professionals (n = 23). We add to that information some of the issues encountered, its effects on applicability, and future work to be done.
Preparation of modified cotton cellulose in ionic liquid and its adsorption of Cu(II) and Ni(II) from aqueous solutions

A series of novel cotton cellulose-graft-polycaprolactone copolymers with different grafting contents were successfully prepared via ring-opening polymerization (ROP) in an ionic liquid 1-N-butyl-3-methylimidazolium chloride ([Bmim]Cl). The structures of the grafting copolymers were systematically characterized by FTIR, CP/MAS13C-NMR, XRD, SEM and AFM, while thermal properties were investigated by DSC and TGA. Subsequently, Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich (D–R) adsorption isotherms were representative to simulate adsorption isotherms of Cu(II) and Ni(II) ions in aqueous solution. From the comparison of different adsorption isotherm models, it was found that adsorption of Cu(II) by modified cellulose followed Langmuir, Freundlich and Temkin models, while that of Ni(II) followed the Freundlich model. The results of adsorption indicated that the selectivity sequence of metal ions on graft copolymers was Cu(II) > Ni(II) and the maximum removal capacities of Cu(II) and Ni(II) ions were 98.7% and 35.6%, respectively. Hence, the graft copolymers exhibited significant potential to be an environmentally feasible biosorbent for removal of Cu(II) and Ni(II) ions from aqueous solution.
p-Dichlorobenzene and naphthalene : emissions and related primary and secondary exposures in residential buildings

p-Dichlorobenzene (p-DCB) and naphthalene are commonly used as moth repellents and are available to the public at nearly pure solid phase. Such products are typically used where clothing is kept, e.g., closets, drawers, and garment bags. Therefore, significant chemical adsorption onto clothing is possible following sublimation from the solid product. Chamber experiments were used to determine the amount of p-DCB and naphthalene mass that adsorbs onto selected clothing materials made of cotton, polyester, or wool. Cloth specimens were suspended inside a chamber through which an air stream containing p-DCB or naphthalene was passed at elevated but realistic gas-phase concentrations for one month. After this time, p-DCB or naphthalene were chemically extracted from cloth specimens. Chemical concentrations to which clothing was exposed were varied. Polyester was determined to be the most adsorbent material, while cotton was the least adsorbent for each chemical. An equilibrium partition coefficient of 0.01 m/g for p-DCB and 0.02 m/g for naphthalene was determined experimentally for wool. The mass recovered in air was determined based on laboratory chamber
Turmeric Powder Gavage Improves Lipid Profile of Albino Rats

Dyslipidemia is one of the key risk factors for cardiovascular diseases, which is a leading cause of global morbidity and mortality. This study was designed to investigate the effect of powdered Curcuma longa (turmeric) tubers on lipid profile of albino rats. Twenty-four (24) male albino rats were randomly divided into four groups (A-D), receiving once daily administration of distilled water, 50, 100 and 200 mg/kg of the powder respectively. The body weights of the animals were measured weekly, while lipid profile was determined after three weeks. The result showed that daily oral administration of graded doses of the C. longa powder for three weeks resulted in a non-significant increase in the body weights of the animals. Daily oral turmeric powder (200 mg/kg) treatment significantly (p ≤ 0.05) lowered the serum total cholesterol and triglyceride concentrations, while those that received 100 mg/kg significantly increased HDL-Cholesterol and reduced LDL-Cholesterol. Turmeric powder lowered total cholesterol, triglyceride and increasing HDL cholesterol in albino rats at the indicated doses and duration.
Operationalizing exposure diversity

The concept of exposure diversity, the diversity of information that people actually access and use, has recently gained prominence in media policy debates. This aspect of media diversity, however, remains difficult to define, measure or implement in actual policy. In this article, we propose an empirical approach that operationalizes exposure diversity in terms of news and current affairs providers in the media repertoire of different social groups. This can be studied through cluster analysis of survey data on respondents’ combinations of use of different media providers and outlets. The article first discusses exposure diversity as a media policy aim. We then outline our proposal on how to take the debate a step further through empirical analysis of media repertoires, with an illustration of how such an analysis may be conducted using survey data from Norway.