Miracle-dz/UniFAR-FTUs huggingface dataset:
Faktor Ekstrinsik dan Intrinsik dalam Memprediksi Kematangan Karir

Penelitian ini bertujuan untuk mengetahui peran dukungan sosial dan kepribadian (ekstraversi, agreeableness , con sscientiousness , neurotisisme , dan openness ) terhadap kematangan karir, dan mengetahui pengaruh dukungan sosial terhadap kematangan karir yang dimoderatori oleh kepribadian (ekstraversi, agreeableness , concscientiousness , neurotisisme , dan openness ). Subyek dalam penelitian ini berjumlah 126 partisipan di Perguruan Tinggi. Instrumen penelitian menggunakan Skala Kematangan Karier (SKK), skala Multidimensional Scale of Perceived Social Support (MSPSS) dan Big Five Inventory. Analisis data yang digunakan dalam penelitian ini menggunakan regresi berganda serta analisis moderasi (Hayes, 2013) untuk mengetahui efek tidak langsung kepribadian tehadap hubungan dukungan sosial dengan kematangan karir. Hasil dari penelitian ini menunjukkan bahwa terdapat peran dukungan sosial dan kepribadian terhadap kematangan karir, kepribadian ditemukan memiliki peran terhadap kematangan karir, dan tidak adanya efek moderasi dari kepribadian dalam membahas peran dukungan sosial terhadap kematangan karir
The Effect of Giving Okra (Abelmoschus esculentus L.) Juice on HDL Levels in the Blood Serum of Wistar Strain Rats Fed High-Fat Feed

Cardiovascular disease is the biggest cause of death in the world with the number of deaths reaching 17.7 million people (31% of the total number of deaths). The main cause of cardiovascular disease is a disturbance in the function of the heart and blood vessels caused by atherosclerosis due to the deposition of cholesterol in artery walls. High Density Lipoprotein (HDL) functions to transport free cholesterol contained in the endothelial peripheral tissue to HDL receptors located in the liver so that it can be processed to be used as bile. Therapy to increase levels of HDL in the blood using okra juice (Abelmoschus esculentus L.) can be done in rats that have been given high-fat feed. The purpose of this study was to determine the effect of okra juice (Abelmoschus esculentus L.) on HDL levels in rats fed high fat. The study was conducted with giving okra juice (Abelmoschus esculentus L) with dosage difference of 1500 mg/kg bw, 3000 mg/kg bw and 6000 mg/kg bw. The research design used was complete random design with post-test randomized group design with a number of replications 5. Testing of HDL levels was carried out by the CHOD-PAP (Cholesterol Oxidase Para Aminophenazone) method. The research data were analyzed using one-way Anova followed by LSD tests. The results of the study giving okra juice (Abelmoschus esculentus L.) to HDL levels by induction of high-fat feed at a dose of 6000 mg / kg body weight were significantly different from lower dosage. Conclusion, okra juice (Abelmoscus esculentus L.) has a positive effect on increasing HDL levels.
Stories and Storytelling for Moral Education: Kindergarten Teachers’ Best Practices

Habituation is the most common used form of moral education in early childhood education in Indonesia. However, this method has been found to be insufficient in contributing fully to young children’s moral development. An alternative method currently being promoted is the narrative method which involves the use of stories and storytelling. These two techniques provide children with justification to do good deeds and allow them to be critical of their actions. This research examined the best practices of teachers in the use of narrative method for the Moral Education of young children. Best practices show how we can use them to improve the teaching of Moral Education among young children and can serve as useful alternative to habituation. The findings revealed that there are five ways in which the kindergarten use stories and storytelling in teaching and learning moral education for young children, namely: to repeat the story; to include clear example; to explain the story; to dramatize the story; and to modify the story.
Set‐based design: The state‐of‐practice and research opportunities

Increasing system complexity has provided the impetus to develop new and novel systems engineering methodologies. One of these methodologies is set‐based design (SBD), a concurrent design methodology well suited for complex systems subject to significant uncertainty. Since the 1990s, numerous private, public, and defense sector design programs have successfully implemented SBD. However, concerns regarding SBD's complexity, tendency toward qualitative methods, and lack of quantitative tools have limited its use. To address these issues, our research surveys 122 refereed journal articles and conference papers to assess SBD's state‐of‐practice and identify relevant research opportunities. To accomplish these tasks, we perform a structured literature review to identify and assess relevant and influential research. We found that SBD's state‐of‐practice relies heavily upon decision and tradespace analysis with increasing emphasis on uncertainty modeling and MBSE. We found that the majority of SBD research consists of quantitative methodologies focusing on component and small system applications. We also found that complex system applications used mostly qualitative methodologies. We identify SBD research opportunities for requirements development, MBSE, uncertainty modeling, multiresolution modeling, adversarial analysis, and program management. Finally, we recommend the development of a comprehensive SBD methodology and toolkit, suited for complex system design across all stages of the product development life cycle.
Shelf-life of vacuum and modified atmosphere packaged sliced pangasius catfish (Pangasianodon hypophthalmus) under refrigerated storage condition

The effects of vacuum (VP) and 100% N2 modified atmosphere packaging (MAP) on the qualityand shelf-life of sliced pangasius catfish (Pangasianodon hypophthalmus) during refrigerated storage (4°C)were investigated up to 12 days. The values of pH, total volatile base nitrogen (TVB-N) and thiobarbituricacid reactive substance (TBARS) of sliced fish samples during storage under VP and MAP packaging werewithin the limit acceptable for chilled fish. Total viable count (TVC) of pangasius fish, on the other hand,gradually increased from the initial value of 4.32±0.04 to 8.30±0.13 log CFU/g on day 9 for non-sealedpack (control) and 7.64±0.12 and 8.34±0.07 log CFU/g for VP and MAP on day 12. There were nosignificant (p<0.05) differences in TVC values among the three packaging conditions during the storageperiod except on day 9 where significantly (p<0.05) lower TVC values were observed in the VP samplecompared to that of other samples. Based on the bacterial counts of 7 log CFU/g, which is considered as theupper acceptable limit for fresh and frozen fish, the shelf-life was determined as the excess of 6 days forcontrol pack and MAP samples, and excess of 9 days for VP sample. Therefore, VP is a good option toincrease the shelf-life of wet fish, which can be adopted by the superstores to display their products withextended shelf-life.
‘We know what we are, but know not what we may be’ – research-minded practitioners and their possible futures in social work

ABSTRACT Social work is often presented with new concepts and methods that are taken to heart without much consideration. This study discusses one such new concept – research-minded practitioners – with the aim of investigating its possibilities. This has been done through a critical reading of three texts where the founders describe its building blocks and definition. It is concluded that it may be a viable concept, but it is still in its early days and more studies are needed. The connection between research-minded practitioners and the implied positive link to evidence-based practice is characterized as lacking a foundation. Suggestions are offered for further developing the concept.
Board gender diversity, critical masses, and organizational problems of non-profit sport clubs

ABSTRACT Research question: This study examines the effect of board gender diversity and a critical mass of women on the board on organizational problems of non-profit sport clubs. It relies on theories from social categorization and information/decision-making perspectives and on critical mass theory. Research methods: Four waves of data from a German sport club panel (2009–2015; n = 6504) are used which allow analyzing causal effects with lagged variables. Gender diversity was measured with the share of women on the board, the Blau index, and the number of women on the board. The perceived severity of human resource, financial, facility, and development problems represent the dependent variables. Results and findings: The results of regression analyses show that board gender diversity significantly reduces human resource and financial problems. Human resource problems are even smallest in clubs with an overbalanced board (≥60% women), while facility problems are perceived as bigger in such clubs. The results provided evidence for critical masses of one or at least three women for reducing human resource problems and of at least four women for perceiving bigger facility problems. Development problems are not impacted by board gender diversity or critical masses. Implications: The findings for human resource and financial problems support the information/decision-making perspective, suggesting that board gender diversity benefits the organization because of diversity in resource access, human and social capital, and improved quality of decision-making. Thus, increasing gender diversity of the board can be a way to reduce problems in these areas.
IoT‐based platform for environment data sharing in smart cities

The technological development and dissemination of IoT equipment have led to large volumes of environmental data which, in some cases, are incomplete, follow different formats of representation, and even have different semantic approaches. All such aspects and the heterogeneity of different IoT components (e.g., network interfaces, communication protocols, data structure, and data semantics) have caused interoperability issues which might hamper the effectiveness of support decision systems for smart cities, where the use of big data and machine learning techniques has been considered, in addition to the exploration of smart city data. This article proposes an environment IoT‐based platform for smart cities that grants interoperability from data capture to knowledge extraction and visualization through the use of Semantic Web Technologies and the definition of an ontology for environment indicators. The components of the platform include IoT devices, gateways, cloud, and fog computing, which are used for a better application of big data techniques. A real environment quality monitoring use case was considered for the validation of the platform. Metrics, such as latency and resources consumption, were analyzed for three communication protocols, namely, MQTT, CoAP, and REST. CoAP adapter provided the best results regarding latency, RAM, and CPU consumption.
Identifying key factors in momentum in basketball games

Momentum as elaborated under a recent novel definition has been shown quantitatively to have a significant impact on basketball game outcomes. This paper makes two contributions to the analytical literature on sports momentum: (1) two aspects of the new definition are operationalized so that its practicality becomes evident; and (2) through a dimension-reduction technique (elastic net), key factors associated with momentum are identified. Both technical variables such as field goals, assists, rebounds, etc. and environmental variables such as the spectator attendance rate and player salary dispersion are considered, and the potential for useful real-time analyzes is illustrated.
Analyzing the Effects of Data Augmentation on Single and Multimodal Biometrics

Now-a-days, in the field of machine learning the data augmentation techniques are common in use, especially with deep neural networks, where a large amount of data is required to train the network. The effectiveness of the data augmentation technique has been analyzed for many applications; however, it has not been analyzed separately for the multimodal biometrics. This research analyzes the effects of data augmentation on single biometric data and multimodal biometric data. In this research, the features from two biometric modalities: fingerprint and signature, have been fused together at the feature level. The primary motivation for fusing biometric data at feature level is to secure the privacy of the user’s biometric data. The results that have been achieved by using data augmentation are presented in this research. The experimental results for the fingerprint recognition, signature recognition and the feature-level fusion of fingerprint with signature have been presented separately. The results show that the accuracy of the training classifier can be enhanced with data augmentation techniques when the size of real data samples is insufficient. This research study explores that how the effectiveness of data augmentation gradually increases with the number of templates for the fused biometric data by making the number of templates double each time until the classifier achieved the accuracy of 99%.
Changing Behavior: A Theory- and Evidence-Based Approach

Many problems observed in today’s society can be linked, directly or indirectly, to human behavior. Problems with roots in, or links with, behavior include debilitating illnesses and chronic conditions (e.g., cardiovascular disease, cancers, obesity, sexually transmitted infections), global pandemics of communicable diseases (e.g., SARS, H1N1, COVID-19), mental health problems (e.g., depression, anxiety), addictions (e.g., substance abuse), social and interpersonal problems (e.g., bullying, abuse and violence in relationships), financial difficulties (e.g., personal debt, problem gambling), criminal behavior (e.g., social disorder, vandalism), educational challenges (e.g., truancy, attentional difficulties), and environmental concerns (e.g., overuse of nonrenewable resources, failures to recycle or save energy). Analogously, regular participation in relevant behaviors is associated with adaptive outcomes such as better health and wellbeing, positive mental health, better functioning in the workplace, in interpersonal relationships, and at school, and more environmentally conscious choices and consumer behavior. Vast databases of archival statistics demonstrating how behavior is linked to social problems are at the disposal of organizations responsible for developing policy to tackle them. Such data signal the need for behavioral solutions and have catalyzed fervent interest in the determinants of behavior and in methods and strategies to change behavior. Governments, organizations (private and public corporations, schools, community organizations), and professionals (government officials, health care workers, managers, teachers) recognize the value of developing strategies to change the behavior of targeted population groups in order to promote adaptive outcomes. To date, legislation (e.g., seat belt use) and regulation (e.g., banning smoking in public places) stand as some of themost successfulmeans to change population behavior. However, in many cases, such initiatives are not possible, feasible, or acceptable. As a consequence, alternative approaches to behavior change are needed. Scientific inquiry into behavior change has entered into the mainstream. Recognition of the importance of behavior change to solving social problems has led governments to engage scientists from various disciplineswithin the social and behavioral sciences to inform policy and develop effective behavior change strategies targeting highpriority, behavior-related problems. For example, governments and organizations have invested in funding initiatives to develop research evidence (e.g., National Cancer Institute, 2019; National Institutes of Health, 2019; Nielsen et al., 2018; OBSSR, 2016), commissioned reports and evidence syntheses (e.g., Behavioral Insights Team, 2019b; Cabinet Office, 2011; NICE, 2007, 2012, 2014), and set up working groups, expert panels, and conferences with an advisory purview on behavior change (e.g., Behavioral Insights Team, 2019a; Brandt & Proulx, 2015; House of Lords, 2011; Ogilvie Consulting, 2019; Spring et al., 2013).
Correlation between carcass grade and progesterone receptor membrane
 component 1 in Korean Hanwoo

Carcass grade primarily depends on marbling of intramuscular fat, which is associated with the texture and tenderness of beef. Accordingly, various economical molecular tests for high intramuscular fat in beef have been attempted. Especially, Hanwoo (Korean Cattle) intramuscular fat has higher levels of monounsaturated fatty acids than that in the beef of other cattle. Intramuscular fats are associated with levels of lipid metabolic genes in the liver transcriptome. Therefore, hepatic triglyceride synthesis can considerably increase intramuscular fat. To investigate the relationship between hepatic lipogenesis and carcass grade, we analyzed 52 Hanwoo liver samples from domestic farms, and evaluated lipid levels and transcript levels of glucose and lipid metabolism-related genes according to carcass grade. Oil-Red-O staining revealed fatty livers in high carcass grades. Moreover, we found significantly higher levels of mRNA for lipogenesis, glycolysis, and triglyceride synthesis genes in high carcass grade livers. Importantly, progesterone receptor membrane component 1 (Pgrmc1) levels were significantly lower in high carcass grade livers. As Pgrmc1 suppression is correlated with induction of de novo lipogenesis (DNL) and glycolysis genes, it has a diagnostic impact for high carcass grades. These results could be used for genetic improvements in carcass grades of cattle. More importantly, as Pgrmc1 can be detected in blood peripheral nucleated cells, it also has value for rapid blood diagnosis.
Diamond-Like Carbon Films with Low Internal Stress by a Simple Bilayer Approach

Amorphous carbon films with a high hardness usually suffer from high internal stress. To deposit films with a hard top surface but reduced internal stress, a simple bilayer approach was used. Films were prepared by plasma source ion implantation, using only hydrocarbon precursors. The single layer with the highest hardness (deposited by a low direct current (DC) voltage and radio frequency (RF) generation of the plasma) has the highest internal stress with more than 3.5 GPa. By adding an interlayer with a lower hardness, the resulting stress of the bilayer film can be reduced to below 1.4 GPa while maintaining the high hardness of the top layer. By avoiding metallic interlayers or dopants within the films, the deposition process can be kept simple and cost-effective, and it is also suitable for three-dimensional samples.
Cutting Force Prediction and Experiment Verification of Paper Honeycomb Materials by Ultrasonic Vibration-Assisted Machining

The disc-cutter is a finishing tool for the ultrasonic-cutting of paper honeycomb-core material. The cutting state directly affects the machining accuracy and surface quality of the workpiece. The cutting force is an important physical quantity and the cause of ultrasonic cutting defects of the honeycomb-core material. Due to differences in the mechanical properties and cutting performance of honeycomb-core materials and commonly used metal materials, existing metal-cutting-force models cannot be applied to the calculation of ultrasonic cutting forces in the processing of honeycomb-core materials. In response to this problem—combined with actual working conditions using the ABAQUS finite element analysis software—a finite element simulation model of the ultrasonic vibration-assisted cutting force of the disc-cutter on the honeycomb-core material was established, and the cutting curves and values were obtained. The experiment of ultrasonic vibration cutting of the disc-cutter proves that from the surface morphology of the honeycomb core, the milling-width has the greatest influence on the cutting force, and the cutting-depth has the smallest influence on the cutting force. The maximum error between the cutting force experimental results and the finite element simulation results under the same cutting conditions was 13.2%, which means that the established cutting-force finite element model is more accurate and can be used to predict the cutting in honeycomb ultrasonic vibration-assisted cutting-force value. Finally, based on the response surface method, a three-dimensional cutting force prediction model of the ultrasonic cutting honeycomb core of the disc-cutter was established by using the simulation model data. The results of this study can provide a useful basis for the improvement of cutting performance and processing efficiency in the processing of paper honeycomb-core materials.
Emotions in Tourism: Theoretical Designs, Measurements, Analytics, and Interpretations

The theorization of emotion receives considerable attention in contemporary tourism literature. Remarkably, existing studies largely ignore the operationalization of emotion in tourism research. Drawing on extant knowledge from psychology, marketing, and tourism literatures, this article describes methodological and theoretical concerns and provides guidance for selecting highly useful-for-the-context (HUFTC) emotion measures. To help researchers choose HUFTC measures, this study proposes a new model: Emotionapps. The article here highlights the need for tourism researchers to account for the complexities in measuring emotions and how such measurement impacts theory construction.
Investigating the impact of an adventure-based 3D solar system game on primary school learning process

Teachers face many difficulties in the motivation, engagement, and improvement of learning outcomes for students in Science, Technology, Engineering, and Mathematics (STEM). In this paper, we present a research study on the learning experience of a new interactive educational 3D video game called Final Frontier, designed for primary school students. This game supports student knowledge acquisition on two Solar System planets Mercury and Venus, and a satellite - Moon through direct experience, interactive challenges and fun. This article compares the learning impact of the computer game-based learning approach with a classic teacher-based learning approach. User experience with the game and game usability are also evaluated. A case study that involved 53 children was conducted for the evaluation. Among the most important findings, include the facts that the experimental group that used the game in their learning activity have performed much better than the control group and the students had a great learning experience when using the Final Frontier game.
Damage classification in concrete, mortar and cement-paste beams under bending by Acoustic Emission Technique (AET)

In concrete, AET has been used to characterize the different fracture modes in flex-ural beams by RA method (described in RILEM TC 212 ACD recommendation). In this study, three-point-bending tests have been conducted on cement-based specimens (concrete, mortar and cement-paste) to promote tensile mode and/or shear mode in these specimens. Acoustic Emission (AE) raw data were filtered to remove noise from signals. Then, k-means algorithm, as a Pattern Recognition Analysis (PRA) method, was used to identify the similarities within the recorded signals and to classify the filtered-signals into groups. Clustering results by k-means according to a proposed process have proven efficiency in providing information on RA, AF, Rise-time, Duration and Absolute Energy (ABEN) related to mode I and mode II. Then, two damage classification techniques were used, in which RA method was applied to filtered signals. By these techniques, the proportion of mode I and II was specified and the location of demarcation line also fixed.