Miracle-dz/UniFAR-FTUs huggingface dataset:
Analisis Hukum Penyelesaian Sengketa Murabahah di Pengadilan Agama

It is mentioned in the laws article 49 No 3 2006 that one of religious court’s duty is to solve murabahah dispute. However, a case related to murabahah dispute number 2860/Pdt.G/2013/PA.Mr. which is submitted to MojokertoReligius Court was rejected by judges. This research attempt to analyse this (1) What is judges consideration in charge of settling murabahah dispute in a verdict number 2860/Pdt.G/2013/Pa.Mr? (2) What factors affecting the judges verdict number 2860/Pdt.G/2013/Pa.Mr? (3) How do the murabahah financing products eligible with religious advice DSN Indonesian Ulamas Council in terms of murabahah financing? This research use case study. The primary data was taken in Mojokerto Religious Court with the case number 2860/ Pdt.G/2013/Pa.Mr while the secondary data based on law books and journals which is related to sharia economy. Data was collected by using interviews and documentation. This research conclude this (1) The judges decided to not accept the case number 2860/Pdt.G/2013/Pa.Mr because the murabahah agreement which contain dispute settlement should be resolved through the arbitration institution (BASYARNAS). (2) Factors that influence judges verdict was law and rules that regulate arbitration which is consist of laws No 1 21/2008 on Sharia Banking article 55, Laws no 48 2009 about Judicial Power article 59, article 1338 the Book of Civil Law and article 21 (3) In addition, a case number 2860/pdt.g/2013/pa mr in form of loan capital was not in accordance with MUI teaching number 4/DSN-MUI/IV/2000 that govern murabahah only for purchase of goods. Keyword : murabahah, dispute settlement, religious court .
Using Discovery Learning to Encourage Creative Thinking

Creative thinking ability development is needed to be implemented by every educator including lecturers to their students. Therefore, they need to seriously act and design their learning process. One of the ways to develop student’s creative thinking is using discovery learning model. This research is conducted in physics education study program in 2016 with students who took learning and teaching class as research subject. From the research analysis result and discussion, it can be concluded that discovery learning model can encourage students’ creative thinking ability in learning and teaching strategy subject.
Challenges and Opportunities of Social Media Data for Socio-Environmental Systems Research

Social media data provide an unprecedented wealth of information on people’s perceptions, attitudes, and behaviors at fine spatial and temporal scales and over broad extents. Social media data produce insight into relationships between people and the environment at scales that are generally prohibited by the spatial and temporal mismatch between traditional social and environmental data. These data thus have great potential for use in socio-environmental systems (SES) research. However, biases in who uses social media platforms, and what they use them for, create uncertainty in the potential insights from these data. Here, we describe ways that social media data have been used in SES research, including tracking land-use and environmental changes, natural resource use, and ecosystem service provisioning. We also highlight promising areas for future research and present best practices for SES research using social media data.
Common Crawled Web Corpora: Constructing corpora from large amounts of web data

Efforts to use web data as corpora seek to provide solutions to problems traditional corpora suffer from, by taking advantage of the web’s huge size and diverse type of content. This thesis will discuss the several sub-tasks that make up the web corpus construction process – like HTML markup removal, language identification, boilerplate removal, duplication detection, etc. Additionally, by using data provided by the Common Crawl Foundation, I develop a new very large English corpus with more than 135 billion tokens. Finally, I evaluate the corpus by training word embeddings and show that the trained model largely outperforms models trained on other corpora in a word analogy and word similarity task.
From Benefits to Success: Veterans’ Educational Outcomes in the Post-9/11 Era

ABSTRACT The Post-9/11 GI Bill provides unprecedented federal funding for veterans to attend post-secondary education and make the transition to the civilian workforce. However, there is little empirical research on recipients’ educational outcomes, especially in community colleges. This study investigated the variables that influence completion and transfer rates among Post-9/11 student veterans enrolled at a Texas community college. Institutional and National Student Clearinghouse data were employed in a logistic regression to discover if any variables were associated with successful completion or transfer; the overall model predicted 86.5% of the population’s outcome. Finally, a linear regression with first-semester GPA as the dependent variable was run. The results suggested a statistically significant negative relationship between minority racial status and GPA, a statistically significant positive influence for full-time enrollment status, and a statistically significant positive effect for older student veterans on GPA. The article ends with recommendations for policy, practice, and future research.
Building Pathways: Nurturing a Female Generation of School Leaders in China

International feminist perspectives recognize the continuing inequalities of power between men and women across all classes (Adler & Israeli, 1988; Alston, 2000; De la Rey, 2005). In China’s male-dominant society, for example, women often have been inhibited from pursuing leadership positions (Wiseman, Obiakor & Bakken, 2009). Further, women’s access to leadership positions is constrained within many social sectors (Cooke, 2005). In school settings, there is no doubt that women have greatly contributed to the changing practice of educational management in China since 1980s ( Zhong & Ehrich, 2010). However, despite recent changes, women are still vastly underrepresented in educational leadership positions due to a variety of reasons, such as their adherence to traditional gender roles (Coleman, Qiang & Li, 1998). One particular reason that has been drawing increasing attention across the world is the lack of appropriate training and guidance in young women’s leadership (Su, Adams & Miniberg, 2000; Cooke, 2003; Barnett, 2004; Chen, 2005). This paper probes in greater depth one of the most important, yet largely overlooked aspects in the educational leadership of China – women’s leadership roles in education and young women’s leadership preparation.
A New Structural Analysis of Inflation and Economic Activity

We theoretically investigate the role of expectations in modelling economic activity and the evolution of inflation rates. The New Keynesian Phillips-IS model is extended in our study by having two types of firms with a fraction of firms that uses ‘limited’ information to develop their expectations. The remaining firms, which are referred to as forward-looking, would use all information available to set prices and make manufacturing budgets. Then we use UK data to examine the robustness of our extension. To estimate our augmented model, we employ the Uhlig (2005) priori restrictions and the Nakajima (2011a) time-varying parameter regression. Our results suggest that the expectations of each type of firms play an important role in explaining the inflation rate and real economic growth in the UK.
Considering the military-media nexus from the perspective of competing groups: the case of ISIS and al-Qaeda in the Arabian Peninsula

ABSTRACT To address if and how militant, non-state actors in the online environment react to on-the-ground military pressures facing their competitors, this study explores AQAP’s visual media campaign during the 2016–2017 military operations to retake Mosul and Raqqa from ISIS control. Using chi-square analyses and content analysis, we analyzed 4027 images from Inspire, Jihad Recollections, and al-Masra to reveal how the onset of the ISIS battles corresponded to changes in AQAP’s strategic use of visual content, presentational form, and language-based audience targeting. Significant changes in visual content related to the display of institutional power structures rather than identity markers. Shifts in presentational elements involved image positioning (foreground/background) and viewer distance (intimate/personal vs. social public). Language-based targeting strategies between English and Arabic publications, however, demonstrated the most substantial change from before to during the battles. The study concludes that a complete understanding of the military-media nexus of militant, non-state groups requires consideration of military pressure on competing groups.
User Satisfaction with Group Decision Making Process and Outcome

Today's organizations are becoming more and more complex, and the complexity of organization's resource management makes it difficult for individual organizations to deal effectively with decision making. The pressures of complex environment and organization lead to business teams become distributed along with the dimension of space, time and computing. There is a need to develop a collaborative approach that can facilitate strategic decision-making and improve the effectiveness and efficiency of resource management. Much needed as well is integrating into this collaborative decision-making process a computer-based group decision support system (GDSS) to support and facilitate strategic decision making. This study attempts to provide the better understanding of how technology helps to enrich organizations' decision-making and identifies, which factors influence on group decision making performance.
Face Verification Subject to Varying (Age, Ethnicity, and Gender)Demographics Using Deep Learning

Human facial appearance is strongly influenced by demographical characteristics such as categorical age, ethnicity, and gender with each category further partitioned into classes-Black, White, Male, Female, Young (18-30), Middle Age (30-50), and Old (50-70)-and groups−mix of classes. Most subjects share a more similar appearance with their own demographic class than with other classes. We evaluate here the accuracy of automatic facial verification for subjects belonging to varying age, ethnicity, and gender categories. Towards that end, we use a convolutional neural network for feature extraction and show that our method yields better performance on individual demographics compared to a commercial face recognition engine. For one-class demographic groups, we corroborate empirical findings that biometric performance on verification is relatively lower for females, young subjects in the 18-30 age group, and blacks. We then expand the scope of our method and evaluate the accuracy of face verification for several multiclass demographic groups. We discuss the results and make suggestions for improving face verification across varying demographics.
Information Needs and Challenges of Agricultural Researchers and Extension Workers in Edo State, Nigeria

This study investigated information needs and challenges of agricultural researchers and extension workers in Edo State, Nigeria. Proportionate sampling technique was used to select 106 respondents. Descriptive and inferential statistics were used to analyse the data. The majority (71.6 %) of respondents indicated their need for information with respect to climate change and adaptation measures (71.6 %). Extension workers communicated more with agricultural researchers monthly (77.5 %). Lack of office-wide internet connectivity (2.06±1.08), unstable power supply (2.05±1.07), and non-subscription to relevant online resources by employer (2.05±1.07) inhibited respondents from meeting their information needs. The study recommends that to enhance knowledge sharing among researchers and extension workers, there is need for research institutes and state government to develop electronic repositories for their research outputs as this will further help other agricultural stakeholders to access local contents immediately.
Properties of self-compacting concrete containing granite dust particles

In the course of production in the Granite Industry, a lot of quarry dust wastes is generated which is either heaped at sites causing environmental and health hazards or dumped in landfills causing ecological problems. It is imperative to evolve a viable option for disposal so to rid the environment of this menace. This study investigated the use of quarry dust particles (QDP) generated from the granite industry as a cement replacement in self-compacting concrete (SCC). The experimental program was carried out in two phases: the first phase optimized the amount of QDP as replacement of Portland cement (PC) with acceptable flow-ability. The second phase evaluated the fresh and hardened properties of SCC which include tests on slump flow, J-ring and L-box to determine filling, passing abilities of SCC while compression and splitting tensile tests were conducted to determine the compressive and splitting tensile strengths, respectively. Test results show that at 20% replacement of cement with QDP, the SCC-QDP mixes has a slump ranged from 642 to 730 mm compared with 578 mm for SCC mix, a compressive strength of 37 N/mm2 compared with 30 N/mm2 for SCC. This was enhanced by QDP which filled the voids between the coarse grains of cement and water molecules which facilitated the flow ability of the mixes and then at later ages reacted with liberated calcium hydroxide from cement hydration to enhance the strength of the mixes. The results then indicated that QDP can be used to replace PC up to 20% by mass of PC in the production of SCC without adverse effect on both fresh and hardened properties. This results also show that QDP, a suitable material for partial replacement of PC in SCC production, can be used to reduce demand for cement thus reducing carbon dioxide emission and also solve other environmental problems.
Propping in Business Groups: Prediction Efficacy of Earnings Announcements

Abstract This study examines the evidences of propping in business groups in India. The article is an empirical study which adopts the event study method to ascertain the price reaction to the earnings announcement by listed group firms. Results indicate that the earnings announcements are perceived to have a positive effect on the financial health of other firms of the group. The cumulative abnormal return (CAR) of the portfolio of nonannouncing firms in a business group is found to be strongly and positively related with that of the announcing firm of that group. The findings of this article will help investors, shareholders and lenders to ex ante forecast the possible improvement in the financial performance of firms of some business groups which maybe going through tough times presently.
Algorithmic-Level Approximate Computing Applied to Energy Efficient HEVC Decoding

This paper presents a novel method for applying approximate computing at the level of a complete application. The method decomposes the application into processing blocks which types define the classes of approximate computing techniques they may tolerate. By applying these approximation techniques to the most computationally intensive blocks, drastic energy reduction can be obtained at a limited cost in terms of Quality of Service. The algorithmic-level approximate computing method is applied to a software High Efficiency Video Coding (HEVC) video decoder. The method is shown to offer multiple trade-offs between the quality of the decoded video and the energy required for the decoding process. The algorithmic-level approximate computing method offers new possibilities in terms of application energy budgeting. Energy reductions of up to 40 percent are demonstrated for a limited degradation of the application Quality of Service.
Influence of course characteristics, student characteristics, and behavior in learning management systems on student performance

The use of learning management systems (LMS) in education make it possible to track students’ online behavior. This data can be used for educational data mining and learning analytics, for example, by predicting student performance. Although LMS data might contain useful predictors, course characteristics and student characteristics have shown to influence student performance as well. However, these different sets of features are rarely combined or compared. Therefore, in the current study we classify student performance using information from course characteristics, student characteristics, past performance, and LMS data. Three classifiers (decision tree, rule-based, and SVM) are trained and compared with the majority class baseline. Overall, SVM is the best classifier to identify pass/fail for a student in a course. However, for more interpretable results, the decision tree or the rule-based algorithm with course characteristics, student characteristics, and midterm data are good second bests. Additionally, it is shown that the different feature sets all have a positive influence on predicting pass/fail. In particular, student characteristics and the midterm grade have a large influence. Compared to these feature sets, LMS data seems less important. Yet, a more fine-grained analysis of the specific metrics found in the learning management system may still yield useful information.
Work-Life Balance and Mental Health Conditions during a Reduction in the Number of Working Hours: A Follow-Up Study of Hong Kong Retail Industry Workers

This longitudinal study investigates the relationship among the number of working hours, work-life balance, and mental health conditions for full-time retail industry workers during a reduction in retail sales in Hong Kong, an area without standard working-hour legislation. Two questionnaire surveys were administered – one in 2014 and the other in 2015. Each survey was conducted on an anonymous basis, each comprising 100 retail industry workers in the same retail industry area. Results from the 2014 survey indicated that the number of working hours was long (51.92 hours per week). During the reduction in retail sales, there was a significant reduction in the original number of working hours (from 51.92 hours to 47.25 hours, p<0.0001), an increase in the number of daily hours of personal or private activities (from 3.06 hours to 3.606 hours, not statistically significant), a significant increase in self-perceived work-life balance (from 3.76 to 4.51, p=0.0009), a decrease in the number of workers having problems because of disturbed worklife balance, and a significant decrease in the high mental health score (from 18.93 to 15.36, p=0.0003), indicating an improvement in mental health conditions. To conclude, the number of working hours for retail industry workers in Hong Kong was long. A reduction in the number of working hours resulted in an improvement in work-life balance and mental health conditions.
Development and Initial Validation of the Constructivist Beliefs in the Career Decision-Making Scale

Although career adaptability and constructivist beliefs both capture important aspects of career construction, previous research has predominantly focused on career adaptability and ignored the importance of constructivist beliefs. Drawing on career construction theory and decision-making science, the current study proposes two factors (i.e., satisficing decision and agentic creation) of constructivist beliefs in career decision-making (CBCD) and develops and initially validates a scale measuring the two factors. Study 1 develops the CBCD Scale and supports the two-factor structure of the CBCD through exploratory factor analysis. Study 2 supports the internal consistency reliability of the CBCD and cross-validates the two-factor structure of the CBCD through confirmatory factor analysis. Additionally, Study 2 finds support for the incremental predictions of the CBCD for career indecision and career decision ambiguity management over and beyond career adaptability. The theoretical and practical implications of the CBCD are discussed, as are the limitations and suggestions for future research.
Private Saving and Terms of Trade Shocks : Evidence From Developing Countries

This paper examines the relationship between temporary terms of trade shocks and household saving in developing countries. It is first shown that, from a theoretical standpoint, this relationship is ambiguous: private saving may rise or fall in response to a transitory terms of trade shock, depending on the values of the intertemporal elasticity of substitution and the intratemporal elasticity of substitution between traded and nontraded goods. Empirical estimates of these two parameters are obtained using data from a sample of 13 developing countries, and then used to draw implications for the response of private saving to transitory terms of trade shocks.
The Influence, Gender, Life on Development Planning in Indonesia

The purpose of this study is to determine the position and role of women in the life of the nation and state through national policies carried out by institutions that are able to fight for the realization of gender equality and justice. In order to improve the quality of the role and independence of women's organizations while maintaining the value of unity and unity as well as the historical value of women's struggle in order to continue efforts to empower women as well as the welfare of families and communities. Thus the empowerment of women in the context of realizing gender justice and equality is a commitment of the Indonesian people whose implementation is the responsibility of all parties of the executive, legislative, judicial, religious leaders and society as a whole. The results showed that the role of women greatly affected development. Furthermore, it was found that women could improve the quality of human resources and create gender justice and equality.