Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementasi Etika Bisnis Islami Bagi Pengusaha Terhadap Pelanggan Di Toko Seragam Sekolah di Pusat Grosir Butung Makassar

This study aims to determine the application of Islamic business ethics values and the impact felt by school uniform entrepreneurs when implementing Islamic business ethics in their business. There are several principles in Islamic business ethics which consist of the principles of Tawheed, the Principles of Siddiq (Honesty), the principles of Amanah (Trust), the Principles of Tablig, and the principle of Fathanah (Intelligence). The result of this study is that Business Ethics in the Butung Wholesale Market Center environment is not fully in accordance with Islamic Sharia. Traders still give blank notes to customers who ask for harm to others, but out of that, the principles applied by businessmen at Butung Wholesale Center have fulfilled the nature that God and His Messenger implanted. As for what is included in Islamic Business Ethics include the Tauhid Principle which is channeled through zakat expenditure and trade sincerity, the Shiddiq Principle is reflected in the attitude of traders who do not multiply prices in buying and selling, and provide freedom for buyers to choose. The principle of Amanah, in the form of achieving optimal service as a form of gratitude to consumers. The Tabligh principle applied by traders includes communicating with friendliness, and establishing friendship with business partners and consumers. The Fathanah principle is reflected in its intelligence in acquiring and retaining customers.
Customers’ Switching Intention among Smartphone Brands

Witnessing the unprecedented development and high competition in smartphone industry, the study aims to explore the factors affecting customers’ switching intention among smartphone brands. Based on literature review of previous researches, a research model was built with constructs, namely switching intention, product quality, service quality, relationship quality, switching cost, inertia, perceived price,and using habit. A survey was conducted and 482 samples were collected for data analysis process. By applying LISREL, this study shows service quality, relationship quality, and inertia as expected, negatively influence customers’ switching intention, while product quality and switching cost have insignificant influence. In addition, besides switching cost and using habit, perceived price as a newly-suggested antecedent positively influences inertia.
Improving prefetching mechanisms for tiled CMP platforms

Recently, high performance processor designs have evolved toward Chip-Multiprocessor (CMP) architectures to deal with instruction level parallelism limitations and, more important, to manage the power consumption that is becoming unaffordable due to the increased transistor count and clock frequency. At the present moment, this architecture, which implements multiple processing cores on a single die, is commercially available with up to twenty four processors on a single chip and there are roadmaps and research trends that suggest that number of cores will increase in the near future. The increasing on number of cores has converted the interconnection network in a key issue that will have significant impact on performance. Moreover, as the number of cores increases, tiled architectures are foreseen to provide a scalable solution to handle design complexity. Network-on-Chip (NoC) emerges as a solution to deal with growing on-chip wire delays. On the other hand, CMP designs are likely to be equipped with latency hiding techniques like prefetching in order to reduce the negative impact on performance that, otherwise, high cache miss rates would lead to. Unfortunately, the extra number of network messages that prefetching entails can drastically increase power consumption and the latency in the NoC. In this thesis, we do not develop a new prefetching technique for CMPs but propose improvements applicable to any of them. Specifically, we analyze the behavior of the prefetching in the CMPs and its impact to the interconnect. We propose several dynamic management techniques to improve the performance of the prefetching mechanism in the system. Furthermore, we identify the main problems when implementing prefetching in distributed memory systems like tiled architectures and propose directions to solve them. Finally, we propose several research lines to continue the work done in this thesis.
Intertextualidad y cultura material: un estudio de narrativa ficcional audiovisual contemporánea

Presentamos en este espacio una sintesis/recorte de los principales resultados finales de nuestra tesis doctoral, que asumio como objeto empirico un producto televisivo, la serie norteamericana Once upon a time. De forma subyacente, a lo largo de todo estudio, buscamos contribuir teorica y metodologicamente con la investigacion de textos televisivos. Con el nucleo en la dimension discursiva, nuestro objetivo fue investigar como opera la intertextualidad (Kristeva, 2012, Fiorin, 2003) en la construccion narrativa de esta serie contemporanea. Para eso, adoptamos una metodologia que camina del plano verbal a lo imagetico. Siendo la narrativa en foco dividida en dos textos diegeticos distintos, entre los resultados mas singulares de la investigacion destacamos que vemos en los objetos escenicos sus grandes articuladores intertextuales.
An Algorithmic Approach to Personalized and Interactive News Generation

An Algorithmic Approach to Personalized and Interactive News Generation Dongwhan Kim Department of Communication Seoul National University Algorithms are increasingly playing an important role in the production of news content with growing computational capacity. Moreover, the use of the algorithm is taking up traditional human roles as increasing number of journalistic activities are mediated by software. For instance, the Los Angele Times runs software called Quakebot, which makes automated decisions on publishing news articles on abnormal seismic events. The Associated Press and Forbes have long been publishing algorithm-generated news content in collaboration with narrative-generation algorithm developers since 2014. The Washington Post also joined the trend by developing news reporting software for 2016 Rio Olympics. We were motivated by the advent of various algorithm-generated news products. We reviewed current practices of algorithm-generated news and classified common algorithmic attributes to derive insights on how to maximize the capacity of the algorithm for more engaging and appealing news content
Comparison of Earliest and Later Autobiographical Memories in Young and Middle-Aged Adults

The current study examined earliest memories of young and middle-aged adults in comparison to a recent autobiographical memory and a free-report one from any life phase. These three types of memories were compared in terms of their memory characteristics such as vividness, emotionality, importance, confidence, and rehearsal frequency. A total of 319 young (18-30 years) and 112 middle-aged (40-65 years) adults completed the online survey. Results showed that earliest memories were rated either similar to or lower than later memories in their memory characteristics. More specifically, they received lower ratings than freereport memories in all memory characteristics whereas they did not significantly differ from recent memories only in importance and emotionality. In addition, free-report memories were highest in emotionality, importance and rehearsal frequency whereas recent memories were highest in vividness and confidence ratings. Compared to young adults, middle-aged adults provided higher ratings for all memory characteristics in general, and they further recalled earliest memories from an older age. Finally, the order of reporting the three types of memories (earliest memory first versus recent memory first) was examined with respect to its potential influence on memory characteristics and dating of the recalled memories. Results displayed no significant effect of the reporting order on memory characteristics. Dating of the earliest and free-report memories, however, was significantly affected by the reporting order. The mean age for earliest memories was higher when it was retrieved following the recent memory compared to the reporting order in which earliest memories are retrieved and reported first. Overall, results indicated that earliest memories are not particularly special compared to later memories (e.g., free-report memories) in terms of their memory characteristics, and they are vulnerable to experimental manipulation such as changing the reporting order just like other types of autobiographical memories.
Misinterpretation of Mental Retardation Disability by Caregivers in Jammu Region of India

There is abundant research on different areas of Mental Retardation worldwide. The present study intends to assess the misinterpretation among the care–givers of Mentally Retarded patients in Jammu region of Jammu & Kashmir. One hundred fifty-two (152) caregivers who were actively involved in the care of Mentally Retarded patients and reported in psychiatry hospital Jammu for percentage of disability certification for financial/monitory purpose constituted the sample. Caregivers were assessed by a qualitative inquiry by asking the purpose for disability certification and in order to get important information about the MR patient. The patients were assessed on developmental mile stone Screening test, Bhatia Battery performance test of intelligence, Seguin Form board test. Caregivers of patients with severe, profound and major psychiatric illness were excluded from the present study. The study showed that mental retardation disability and financial benefits to the intellectually disabled are considered as a sort of nail in the coffin for such patients and no further attempts are made to rehabilitate the disabled person. The patient is considered as a financial burden. The authors insist on better psychosocial rehabilitation services in addition to the financial benefits to the disabled persons.
Metaphor and Brain: A Neuropragmatic Overview

This article offers an overview of the different types of metaphor and cognitive abilities that are required in metaphor comprehension. It does so in connection with the general psycholinguistic and pragmatic theories of metaphor, which are examined briefly. Attention is then turned to neuropragmatic functions and the brain in terms of anatomic structure and functioning. Finally, the article suggests some relevant areas for future research.
Burden and factors responsible for neonatal morbidity among Low-Birth-Weight infants in Kenya

Kenya, like the rest of Sub-Saharan Africa and many other developing countries in the world, has made progress in improving newborn health, but did not meet the millennium development goal four for child health. Neonatal morbidity and mortality remains unacceptably high. The objectives of this study were to estimate the burden on neonatal morbidity and determine the socioeconomic and proximate factors responsible for neonatal morbidity in Kenya. A cohort study was carried out at Pumwani maternity hospital, Thika Level 5 hospital and Machakos Level 5 hospital with a sample of 343 stable LBW (2000g) infants. Informed by the concepts of Mosley and Chen (1984) analytical framework, several socioeconomic and proximate factors of neonatal morbidity and mortality were examined. Cross tabulations and multiple logistic regression analyses were done to determine the relationships between these factors and neonatal morbidity. The burden of neonatal morbidity was high, 61.5% (N=343) of the low-birth-weight infants. Micronutrient use, lower birth weight, pregnancy history, infant sex being male, birth complications and source of water as rivers, well and ponds were factors responsible for neonatal morbidity. Stakeholders should develop programs that address these factors to improve newborn health among birth-weight infants.
Panduan Praktikum Fisika Dasar 1 Berbasis Guided Inquiry Terhadap Peningkatan Hard Skills dan Soft Skills Mahasiswa

This study aims to analyze the significant influence of the use of first basic physics guide based on a guided inquiry to increased hard skills and soft skills of students. The experimental design used was "One Group Pretest-Postest Control Groups Design". This research was conducted at Integrated Laboratory of Islamic University of Madura. The sample of the study is the students who follow the first Basic Physics Practicum. The instruments used are hard skills observation sheet and student soft skills. Data analysis using SPSS16 for windows software help. Based on the research results, the average value of hard skills posttest is 4.01 with the category "Good", while the average value of soft skills is 4.35 which is categorized as "Excellent". For analysis using SPSS16 for windows obtained t-test hard skills and soft skills of student equal to 13,175 and 12,551 with sig. 0.00. This indicates that there are significant differences in students' hard skills and soft skills during pretest and posttest. From the result of the research, it can be concluded that there is a significant influence of the use of first basic physics guide based on a guided inquiry to increased of hard skills and soft skill of students.
THE SOURCE OF ERRORS IN INDONESIAN-ENGLISH TRANSLATION

This research aimed to identify types of translation errors and to find out the sources of errors (interlingual and intralingual errors) in Indonesian-English translation written by the students. The type of this research was descriptive research which used Error Analysis procedures to identify and analyze the students’ error. The findings showed that the types of grammatical errors made by the students in their translation were three types, namely global errors, local errors, and other errors. The most frequent error made by the students was local errors and the fewest error made by the students was other errors. Then, this research revealed that mostly errors occurred in students’ translation were caused by intralingual error. Meanwhile, only few errors were caused by interlingual error. The errors occured due students’ incomplete knowledge of the target language.
A Case Study of Using Mobile Applications and Peripherals to Encourage "Real-Life" Critical Analysis in Human Physiology.

This paper shares a practice of encouraging critical analysis in science students by comparing mobile applications and peripherals to traditional tools to record physiological variables such as heart rate and blood pressure. A progressive series of case studies is described with learning outcomes mapped to the benchmark statement for Bioscience from the United Kingdom's Quality Assurance Agency. A student reflection and staff commentary of the practice is also offered.
A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text

Natural language texts are often meant to express or impact the emotions of individuals. Recognizing the underlying emotions expressed in or triggered by textual content is essential if one is to arrive at an understanding of the full meaning that textual content conveys. Sentiment analysis (SA) researchers are becoming increasingly interested in investigating natural language processing techniques as well as emotion theory in order to detect, extract, and classify the sentiments that natural language text expresses. Most SA research is focused on the analysis of subjective documents from the writer’s perspective and their classification into categorical labels or sentiment polarity, in which text is associated with a descriptive label or a point on a continuum between two polarities. Researchers often perform sentiment or polarity classification tasks using machine learning (ML) techniques, sentiment lexicons, or hybrid-based approaches. Most ML methods rely on count-based word representations that fail to take word order into account. Despite the successful use of these flat word representations in topic-modelling problems, SA problems require a deeper understanding of sentence structure, since the entire meaning of words can be reversed through negations or word modifiers. On the other hand, approaches based on semantic lexicons are limited by the relatively small number of words they contain, which do not begin to embody the extensive and growing vocabulary on the Internet. The research presented in this thesis represents an effort to tackle the problem of sentiment analysis from a different viewpoint than those underlying current mainstream studies in this research area. A cross-disciplinary approach is proposed that incorporates affect control theory (ACT) into a structured model for determining the sentiment polarity of event-based articles from the perspectives of readers and interactants. A socio-mathematical theory, ACT provides valuable resources for handling interactions between words (event entities) and for predicting situational sentiments triggered by social events. ACT models human emotions arising from social event terms through the use of multidimensional representations that have been verified both empirically and theoretically. To model human emotions regarding textual content, the first step was to develop a fine-grained event extraction algorithm that extracts events and their entities from event-based textual information using semantic and syntactic parsing techniques. The results of the event extraction method were compared against a supervised learning approach on two human-coded corpora (a grammatically correct and a grammatically incorrect structured
Network Flow Algorithms

Let us assume that it is our intention to transfer material from source to sink through the nodes of a graph. Each edge has a certain capacity. Our goal is to determine how much material can be transferred from the source to the sink without violating the capacity limit. Initially basic linear programming techniques were used to solve this problem, but later many other algorithms were discovered. Some of them use approaches and methods that are interesting from a theoretical point of view, while others are more suitable for practical use. The aims of the thesis are the presentation of these algorithms, their analysis and the display of basic examples. We want to figure out which algorithm is currently the fastest in solving this problem.
HIDROGÉIS À BASE DE POLIACRILAMIDA E QUITOSANA COM POTENCIAL APLICABILIDADE NO CONTROLE DE CONFORMIDADE EM RESERVATÓRIOS DE PETRÓLEO

As fraturas e canais de alta permeabilidade em rochas de reservatórios geram alguns problemas durante a extração do óleo, como por exemplo, eficiência de varredura não satisfatória, avanço antecipado do fluido de recuperação, sua produção excessiva e desnecessária, entre outros. Portanto, destaca-se o desenvolvimento de hidrogéis à base de poliacrilamida e quitosana para criarem bloqueios impermeáveis nas regiões de maior permeabilidade, evitando a canalização dos fluidos e permitindo uma maior produção de óleo.
Visual Simulation Steering for a 3D Neutron Transport AGENT Code System

We have integrated a framework for computational steering developed at the Technische Universitat Munchen into the AGENT codebase. This framework allows for the arbitrary interruption of any simulation system for the purpose of modifying internal state. Once the simulation is interrupted, the solver, meshing and resolution parameters, and convergence variables can all be modified to more appropriate values. Depending which settings have been modified, remeshing and refined resolution are then performed, and values are copied from the old set of resolution parameters onto the new set. Then the simulation restarts at whatever state - for example, timestep - it reached previously, without requiring a resubmission into the job control system. The utility of this computational steering process is exemplified during the 3D simulation of the University of Utah’s 100 kW TRIGA reactor (UUTR) core with the AGENT code. In this paper we present an example in which initially the mesh resolution of the UUTR core input set up with a wide ray separation of 1.2 cm that as expected does not converge to the specified criteria after 600 iterations; the AGENT code version we used to demonstrate this new feature does not initiate any of other existing iteration acceleration techniques. Thus, using the aforementioend computational steering framework, the simulation is interrupted after 249 iterations. The ray separation is then changed to a smaller value and after 351 iterations the solution meets the required convergence criteria. The second example illustrates how the user can accelerate the convergence: starting from a coarse mesh resolution an interruption is performed after a few iterations to refine the initial resolution. There is a significant reduction in the CPU time ( 22.0 the solution using only the refined resolution.
Authentic assessment in literal and inferential reading comprehension for university students

The teaching of English as a foreign language in Indonesia is widely developed time to time. In the teaching of English, reading comprehension has an important role, because through reading the text the students will acquire the knowledge of science and technology. Furthermore, the teachers have also have to measure the students’ performance in comprehending the reading text. The use of authentic assessment in the literal and inferential reading comprehension can help the students and also the teachers in comprehending what they learn in the text. The authentic assessment will reduce the tension of the students while they do reading test. Teachers also can implement the teaching learning process and the assessment efficiently. This paper aim to give some contribution to the readers how to select a good reading assessment that should be given for the university students. Hopefully, this paper can give a contribution to the teachers in Indonesia to be wise in selecting a good reading text and reading assessment in order to get the purpose of reading itself.
Robust adaptive tracking control for unmanned helicopter with constraints

In this article, a prescribed performance-based adaptive neural network control scheme is proposed for an uncertain small-scale unmanned helicopter system subject to input saturations and output constraints. The radial basis function neural networks are employed to approximate system uncertainties. A nonlinear disturbance observer is developed to tackle input saturation. Meanwhile, the prescribed performance function is adopted to deal with output constraint. The closed-loop system stability is rigorously proved using Lyapunov synthesis. Finally, simulation results for unmanned helicopter system are presented to demonstrate the effectiveness of developed tracking control scheme using disturbance observer and radial basis function neural network.