Miracle-dz/UniFAR-FTUs huggingface dataset:
The Research Synthesis of Relationships between Positive Psychological Capital, Self-Management and Family Coping in Thailand

The primary objectives of this research synthesis were to examine the characteristics of published research studies conducted in Thailand related to positive psychological capital, self-management and family coping and to consider how positive psychological capital is related to selfmanagement. The review consisted of 128 research studies that were accessed using online databases and were available to be downloaded in fulltext versions. The information within each study was analyzed and synthesized using content analysis. Research synthesis results showed that positive psychological capital, selfmanagement and family coping were included in dissertations for master’s degrees, that the majority of research objectives were descriptive, the data was collected by questionnaire, the reliability of instruments was Cronbach’s alpha coefficient and the validity of instruments was content validity. Findings from the reviewed studies supported a positive correlation between positive psychological capital and self-management.
Nutritional Evaluation of Value Added Products Using Potato Flour.

Five value added products namely dhokla, vadae, idli, tikki and pancake were developed using potato flour evaluated on sensory parameters using nine point hedonic rating scale. Accepted level of potato flour in the developed products was 20-50 per cent. Highest overall acceptability score was obtained for pancake with addition of potato flour. Significant increase (p<0.05) in protein, fat, fibre and ash content of dhokla, vadae, idli and tikki was found with addition of potato flour. Micronutrient content increased significantly (p< 0.05) with incorporation of potato flour in all five products. The developed value added products using potato flour could be recommended for malnourished children, pregnant and lactating mothers under supplementary feeding program run by government and nongovernment agencies.
Critical Factors for Microbial Contamination of Domestic Heating Oil

Microbial contamination can occur during long-term storage of domestic heating oil (DHO), thus biofouling the fuel and equipment. In this study, microorganisms in domestic heating oil storage tanks were identified, and the factors that promote growth in DHO storage tanks were examined. Notably, obligate aerobic but not strict anaerobic microbes were detected, suggesting the existence of an oxic environment. The measured and calculated diffusion rates of oxygen in the oil support the finding that oxygen limitation in a storage tank is unlikely. Fatty acid methyl ester (FAME) fostered microbial growth in DHO tanks, and fewer microorganisms were required to initiate growth in FAME-blended fuels. The results are discussed in the context of minimizing microbial contamination during long-term storage of FAME blends in domestic heating oil applications.
Coagulation as a pretreatment of SFBW for membrane filtration

Granular filtration has been incorporated as a major barrier to prevent the dissemination of disease-causing agents by drinking water. Particles and pathogens such as Giardia lamblia and Cryptosporidium parvum retained in the filters are then washed by utilizing clean water. This study was conducted, primarily, to evaluate coagulation as a pretreatment for the Spent Filter Backwash Water (SFBW) treatment by ultrafiltration (UF). SFBW Samples were collected from four different water treatment plants and carefully analyzed. Jar-tests and backwash pilot studies were performed in the laboratory. Depending on the water source, protozoan parasites and viruses were found to be prevalent in SFBW. The results show that turbidity cannot serve as a surrogate for the microbial load of the SFBW. Alum flocculation pretreatment of SFBW was found to be effective in reducing turbidity, particle count, viruses and parasites, consequently it may also reduce membrane fouling. Settling the SFBW prior to flocculation did not enhance the removal of turbidity and particle count as compared to the unsettled SFBW samples. This finding might imply that settling would not be required prior to UF. The largest remaining particle fraction after alum flocculation was 3-10 pm in size, both Cryptosporidium and Giardia are found in this size range. Coagulation enhanced the removal of small size particles and may result in extending the filtration cycle by reducing the SFBW fouling potential.
The Roles of Work Climate and Knowledge Sharing: The Effect of Leader Creative Behavior to Organizational Creativity at Furniture Industries in Indonesia

Creativity is often defined as developing ideas about products, services, practices, or procedures that are new and potentially of value to departments or organizations. Creative behavior is considered vital because it can be conceptualized as necessary for creative results. The purpose of this study was to examine the effect of Leader Creative Behavior on Organizational Creativity through Work Climate and Knowledge Sharing in the furniture industry in Indonesia. In previous studies, it has been stated that Leader Creative Behavior does not have a significant influence on Organizational Creativity. Therefore, this study examines the effect of Leader Creative Behavior on Organizational Creativity by using Work Climate mediation and Knowledge Sharing as a novelty. The research method used in this study is quantitative. Data analysis techniques in this study using the Partial Least Square (PLS) method in fifty furniture industries in Indonesia. The results showed that the Creative Behavior Leader had a significant influence on Organizational Creativity through Work Climate and Knowledge Sharing.
THE EFFECT OF JOB SATISFACTION, WORK ENVIRONMENT AND QUALITY OF WORKING LIFE ON ORGANIZATIONAL CITIZENSHIP BEHAVIOR EMPLOYEES IN THE DEPARTMENT OF COMMUNITY AND VILLAGE EMPOWERMENT KERINCI DISTRICT Pirdinal

This research aims to Knowing the effect of job satisfaction, work environment and quality of work life on the Organizational Citizenship Behavior (OCB) of employees inCommunity and Village Empowerment Service(DPMD) Kerinci Regency jointly and individually. The population in this study were all 55 employees in the DPMD Kerinci Regency. Technique Determining the number of samples taken as respondents with this sampling technique using total sampling technique (whole sample). The results of this study indicate that (1) Job Satisfaction has a positive influence on OCB Employees in DPMD Kerinci Regency. (2) The work environment has a positive influence on Employee OCB in DPMD Kerinci Regency. (3) The quality of work life has a positive influence on employee OCB in DPMD Kerinci Regency. (4) Job satisfaction, work environment and quality of work life together have a positive effect on employee OCB in DPMD Kerinci Regency.
Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs

The growing use of microblogging platforms is generating a huge amount of posts that need effective methods to be classified and searched. In Twitter and other social media platforms, hashtags are exploited by users to facilitate the search, categorization, and spread of posts. Choosing the appropriate hashtags for a post is not always easy for users, and therefore posts are often published without hashtags or with hashtags not well defined. To deal with this issue, we propose a new model, called HASHET (HAshtag recommendation using Sentence-to-Hashtag Embedding Translation), aimed at suggesting a relevant set of hashtags for a given post. HASHET is based on two independent latent spaces for embedding the text of a post and the hashtags it contains. A mapping process based on a multi-layer perceptron is then used for learning a translation from the semantic features of the text to the latent representation of its hashtags. We evaluated the effectiveness of two language representation models for sentence embedding and tested different search strategies for semantic expansion, finding out that the combined use of BERT (Bidirectional Encoder Representation from Transformer) and a global expansion strategy leads to the best recommendation results. HASHET has been evaluated on two real-world case studies related to the 2016 United States presidential election and COVID-19 pandemic. The results reveal the effectiveness of HASHET in predicting one or more correct hashtags, with an average F-score up to 0.82 and a recommendation hit-rate up to 0.92. Our approach has been compared to the most relevant techniques used in the literature (generative models, unsupervised models, and attention-based supervised models) by achieving up to 15% improvement in F-score for the hashtag recommendation task and 9% for the topic discovery task.
Risk Factors for Periodontal Disease in Diabetes Mellitus Type 2 Patients at Padongko Health Center, Barru Regency (Study Epidemiology)

Background: Diabetes Mellitus (DM) is a non-contagious chronic disease and becomes one of global public health problems. Several oral conditions frequently found in Diabetes Mellitus patient include periodontal disease with alveolar bone resorption and gingival inflammation, a clear abscess, and xerostomia. The many complications, periodontitis mostly occurs in Diabetes Mellitus patient. It is a common chronic disease that accounts for 75-85% of diabetes cases in which the inflammatory response to bacteria in the gum tissue (periodontal ligament) caused irreversible loss of supporting structures and can eventually lead to tooth loss. Material and Methods: This research applied an observational analytic method with a case control study approach. Result and discussion: The sample was 60 patients of diabetes mellitus type 2taken using demographic data questionnaires and patient medical record data. The results showed that the age of the elderly (>60 years) had a risk of periodontal disease compared to adulthood (
The rise and fall of L-spaces, II

In 2005, Ben-El-Mechaiekh, Chebbi, and Florenzano obtained a generalization of Ky Fan's 1984 KKM theorem on the intersection of a family of closed sets on non-compact convex sets in a topological vector space. They also extended the Fan-Browder xed point theorem to multimaps on non-compact convex sets. Since then several groups of the L-space theorists introduced coercivity families and applied them to L-spaces, H-spaces, etc. In this article, we show that better forms of such works can be deduced from a general KKM theorem on abstract convex spaces in our previous works. Consequently, all of known KKM theoretic results on L-spaces related coercivity families are extended to corresponding better forms on abstract convex spaces. This article is a continuation of our [38] and a revised and extended version of [34].
Nutritional Evaluation and Microbiological Analysis of Full Fat Yoghurt processed with biological and chemical preservatives

The production of full fat yoghurt from full cream milk enhanced with ginger extract and sodium benzoate with a view to improve its nutritional quality and shelf life was carried out. The pH of the yoghurt samples were determined, as incubation time increased the pH of the samples reduced. The yoghurt with 5000mg/L of sodium benzoate had the lowest pH of 4.2, while yoghurt with ginger extract had the highest pH of 4.8. The organoleptic evaluation was conducted by ten panel members to assess: appearance, sourness, consistency, aroma, taste and general acceptance; yoghurt with ginger was rated the best and the most acceptable. Proximate analysis was carried out to evaluate nutritional composition such as: crude protein, fiber, fat, moisture and ash contents; yoghurt with ginger extract had the highest protein content of 10.44% while the control sample had the lowest (3.59%). Also, the control sample had the highest fat content of 3.71% while yoghurt with ginger extract had the lowest (1.58%). The shelf life of the four yoghurt samples were monitored and the control had the lowest shelf life of three weeks, followed by yoghurt with 2500mg/L of sodium benzoate had shelf life of eight weeks, while the yoghurt with ginger extract and yoghurt with 5000mg/L of sodium benzoate had the highest shelf life of three months. Lactic acid bacteria and non-lactics isolates were isolated from the yoghurt. The isolates were characterized and identified as Lactobacillus brevis, Lactobacillus casei, Lactobacillus plantarum, Lactobacillus lactis, Lactobacillus bulgaricus, Bacillus cereus, Pseudomonas fluorescens, Proteus mirabilis, Pseudomonas chlororaphis, Bacillus subtilis. The total bacteria colony count of each of the samples was monitored for four weeks and the control sample had the microbial load of 2.0 x 10 4 in the first week after production and increased to >6.0 x 10 7 in the fourth week. The ginger preserved cheese had the lowest microbial load of 2.0 x 10 2 in the first week and increased to 5.0 x10 5 in the fourth week. Therefore, the high cost and side effect of chemical preservatives could be overcome by the application of biological preservatives particularly ginger extract which added to the nutritional value of the yoghurt, it also demonstrated a good preservative property. © 2013 Elixir All rights Reserved. ARTICLE INF O Articl e h istory: Received: 21 May 2013; Received in revised form: 17 June 2013; Accepted: 2 July 2013;
Collaborative Governance in Eucalyptus Oil Industry Development from Forest Area

Collaborative Governance in the industry development of Eucalyptus Oil from forest area that is being done by the Forest Management Unit of Tarakan City, North Kalimantan, is an essential thing in managing resource disputes, where the results, potential synergies and ‘win-win solution' have not been deeply explored. An active role is needed from each related party to achieve a success in that industry development. A good forest governance system is characterized by countries’ collaboration process and any form voluntary initiative from societies and private parties. Collaborative Governance is a form of arrangement that is aimed at handling public programs or assets intentionally in a formal-collective and consensus-oriented way, where one or more public agencies that directly involve private stakeholders. The present study will be conducted under qualitative approach by using the literature study method and photovoices. By using a model proposed by Ansell dan Gash, where there are four variables including Starting Condition, Institutional Design, Facilitative Leadership, and Collaborative Process, it is known that Collaborative Governance has been on track, but still there are several things that need to be anticipated and to be upgraded, such as the change in laws and regulations that happens and the role of the actors involved. A joint-mission has to be built among the actors, and also an optimization of needing variable, so that the Eucalyptus Oil Industry Development can be reached as expected. Keywords—Collaborative Governance, Eucalyptus Oil Industry Development, Forest Management Unit (KPH)
Determinant Factors of Intellectual Capital Disclosure: Evidence from Indonesia

The paper examines the determining factors of intellectual capital disclosure (ICD) published by manufacturing companies in Indonesia. The results showed that the firm size and ownership structure contributed significantly but negatively to determine the degree of ICD. However, the finding shows that leverage does not play a substantial role in determining ICD. The study also examined whether the firm size and ownership structure had an impact on leverage. The findings confirm the considerable impacts of both variables on the dependent variable. Keywords—firm size, ownership structure, leverage, intellectual capital disclosure
Review of the biogeography of Artemia Leach, 1819 (Crustacea: Anostraca) in Iraq

istory of the study of Artemia in Iraq goes back to 1921. But there are many unfortunate misidentifications of the species. The work before 2004 emphasized the use of the scientific name A. salina, which is limited to the Mediterranean basin. Two species of Artemia were recognized in Iraq: a bisexual populations; A. franciscana, which, so far, have only been recorded from the south of Iraq, and possibly occur in the middle of the country, and a parthenogenetic populations which were reported from the south and middle of Iraq. However, Artemia has not yet been encountered in North Iraq. The invasion of A. franciscana to the country is thought to be intentional.
A spatial-econometric perspective on regional labour market adjustment and social security benefit uptake in New Zealand*

In many countries downward trends in official unemployment rates have often coincided with increases in hidden unemployment, particularly among low skilled older workers, who end up on long term social security benefits, such as the sickness or invalids benefit. International research has shown that there is an important regional dimension to this phenomenon. Particularly in peripheral regions, the types of jobs that are being created may not offer opportunities for older and less mobile workers. This paper aims to analyze the determinants of regional variation in labour force participation and in non-participation in work by category (viz. unemployment, sickness, incapacity and single parents caring for dependent children) in New Zealand during the period 1986-2006 using a panel of data drawn from the five yearly Census of Population and Dwellings aggregated to functionally defined local labour market areas (LMAs). Issues of spatial spillovers in social security benefit uptake are addressed with models of spatial dependence. Besides estimation of global parameters of reduced form equations, the paper also reports geographically weighted regression (GWR) models to explore parameter variation across the LMAs. We find that there is evidence of spatial autocorrelation in labour force participation, unemployment benefit uptake and sickness benefit uptake, but not in invalids benefit uptake and domestic purposes benefit uptake. The evidence for spatial heterogeneity is weak and such heterogeneity appears completely absent in 2006. This suggests that the estimated global parameters regarding determinants of labour force participation and benefit uptake are informative regarding the underlying processes across all LMAs in New Zealand.
Individual Investments Biased by the Size of a Foreign Investor: An Experimental Study

The field of behavioral finance has actively researched behavioral elements influencing the choices of individual investors. This study also contributes to the behavioral finance and examines the effect of an increase in a foreign firm’s partial ownership in a domestic firm on the local individual investments in that domestic firm. Specifically, using a controlled lab experiment the study examines the investments of Pakistani individual investors between a purely Pakistani firm and a Pakistani firm with three different levels of Chinese ownership (portfolio, minority, majority). The experimental results show that with reference to Chinese minority ownership in a Pakistani firm, the potential investors are 47% (61%) less likely to invest in a Pakistani firm with Chinese portfolio (majority) ownership than in a purely Pakistani firm. The study uncovers an important non-monetary factor in the form of a foreign firm’s partial ownership that can significantly influence the choices of individual investors. It also makes an important contribution to the growing literature on the Chinese foreign investments specifically in Pakistan by exploring how potential individual Pakistani investors are likely to react to an increase in Chinese investments in Pakistani firms.
Effect of Profitability, Investment Opportunity Set and Good Corporate Governance on Company Value

The purpose of this study is to determine the effect of profitability, investment opportunity set and good corporate governance on firm value. This research is conducted at manufacturing companies in the consumer goods industry sector on the Indonesia Stock Exchange 2017-2019. The population in this study amounted to 45 companies with a sample of 31 for three years of observation, namely 2017-2019, resulting in 93 observational data. The sampling technique used in this study is purposive sampling and is analyzed using multiple linear regression. This research succeeds in supporting the existence of a signal theory but cannot support the existence of agency theory. In addition, this research can also help interested parties to utilize financial and non-financial information in the form of company performance appraisal as well as consideration in determining investment decisions. The results obtained based on the data analysis conducted show that the profitability and investment opportunity set have a positive effect on firm value. Meanwhile, good corporate governance as proxied by the independent board of commissioners and the audit committee has no effect on firm value.
Higher order thinking skills students in mathematical statistics course base on revised bloom taxonomy in factual and conceptual knowledge dimension

The purpose of this study was to identify Higher Order Thinking Skills (HOTS) in mathematics education study program students in the Mathematical statistics course. HOTS in this study is based on the Revised Bloom Taxonomy which includes analyzing, evaluating and creating, especially in the dimensions of factual knowledge and conceptual knowledge. This research is a qualitative descriptive study. The research subjects were 35 students of the fourth semester mathematics education study program of Al Asyariah Mandar University. The data collection techniques such as essay test and each of which consisted of 3 items of dimension of procedural knowledge and conceptual knowledge, which was C4 (analyzing), C5 (evaluating), C6 (creative) level. HOTS data were obtained from test answers given to students and then analyzed descriptively. HOTS criteria include low, medium, and high. The results of the research on the factual knowledge dimension with a C4 level (analyzing) of 6.7 (medium), a C5 level (evaluating) of 4.6 (low), and a C6 level (creating) of 4.3 (low). Whereas in the conceptual knowledge dimension with a C4 level (analyzing) of 6.9 (medium), a C5 level (evaluating) of 4.7 (low), and a C6 level (creating) of 4.1 (low). In general, students’ HOTS are in low criteria.
Performance Analysis of Deep Learning Architectures for Super Resolution

Super resolution (SR) being one of the computer vision tasks with increasing applications in modern scenarios, several challenging factors are still prominent despite the numerous breakthroughs achieved in this field in recent years. Introduction of deep convolutional neural networks has brought a booming development to the existing SR techniques tackling many unsolved challenges. As an attempt to perform a relative analysis between currently used methods, this paper explores and establish the capability of Enhanced and Wide super resolution networks. These models are encompassed with improved residual networks with an aim to achieve a higher accuracy with reduced memory usage. The models trained with DIV2K dataset are evaluated using the T91 dataset and found to be showcasing a reliable performance in comparison with other cutting-edge methods devised for super resolution.