Miracle-dz/UniFAR-FTUs huggingface dataset:
Case of Actualizing Geometry Knowledge in Abstraction Thinking Level for Constructing a Figure

The purpose of studying geometry is for the development of student thinking, able to abstract and reason, against concepts in the object. Note on some study results that the combination of the student's conceptualization process and knowledge of geometry are a source of barriers to their learning. This study aims to investigate how students actualize their geometry knowledge for the development of thinking to the level of abstraction. Investigations on input, internal processing, and output. This study was conducted on high school students use questions regarding object and product of thought in geometry thinking at analysis and abstraction level. Based on study findings, students actualize their knowledge through figural aspects then developed into the conceptual aspect, and the two aspects are integrated with the relationship between properties. There is a mathematical connection to the integration process. However, because most students' understanding of geometry knowledge is still prototypical figural concepts, so there is an interaction issue between figural and conceptual aspects, namely the validity of relationship between properties. Therefore, students learn geometry in order to investigate the connections between objects and properties as a whole.
Orr mechanism in transition of parallel shear flow

The precise role of the Orr mechanism in transition of parallel shear flow is investigated. We found two transition scenarios, oblique and streak transition, in which the Orr mechanism plays a central role in triggering transition. In the oblique transition, the spanwise velocity perturbation amplified with the Orr mechanism initiates both streak amplification and breakdown, whereas in the streak transition, the role of the Orr mechanism is limited only to the streak breakdown at the late stage of transition.
Examining the Relationship Between Criminogenic Thinking, Differential Identification, Motivation, and Risk-Taking Behavior in Emerging Adults

Young adults engage in a disproportionately high rate of problematic behaviors such as risky sexual activities, academic dishonesty, and substance abuse. In order to understand why this occurs, two lesser-known constructs related to risk-taking behavior were investigated in this study: differential identification, which has yet to be empirically studied in the context of emerging adults, and criminogenic thinking, which has only been evaluated in this context to a minimal degree. To bridge the gap between these two constructs, motivation was hypothesized to be a moderator in each of these respective relationships. Data from 309 emerging adults were recruited via Amazon’s Mechanical Turk (MTurk) to complete the survey materials online. The analysis consisted of a hierarchical multiple linear regression. Results indicated that motivation did not moderate either relationship (i.e., differential identification and risk-taking behavior and criminogenic thinking and risk-taking behavior). However, a main effect was found between one aspect of differential identification and risk-taking behavior. No other main effects were found in this study. Potential explanations for the results of this study are discussed, as well as implications and directions for future research.
A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data

ABSTRACT Studies on urban–rural fringes, which represent regions facing various urbanization problems caused by rapid expansion, have steadily increased in recent years. However, problems persist in the quantitative delimitation of such regions. Based on the characteristics of abrupt urbanization-level changes in urban–rural fringe areas, we propose a constraint-based method in this study to detect the urban–rural fringes of cities with a spatial polycentric structure of ‘Main center–Subcenter’ based on data from multiple sources. We used the proposed approach to delimitate the fringe areas of Jiangyin and Zhangjiagang and identify their urban main center and subcenter pre-defined by their city master plans, towns, and rural hinterlands. Comparison of the identified results of different single urbanization indices, a single detection center, kernel density estimation, and a single constraint revealed that the patch density and Shannon’s diversity index of the proposed method were higher in urban–rural fringes and smaller in city centers and rural hinterlands. This suggests that the landscape of urban–rural fringes delimitated by the proposed method is more fragmented, diverse, and complicated, thereby performing better. This study is significant for future urban spatial analysis, planning, and management.
A Image Enhancement Method For Night-Way Images

Image processing has a wide range of applications especially in our daily lives. Image processing is not common in sensitive industrial applications. Because of these applications, very high percentage of success is requested. Also these applications work in real-time. However, it can be widely used in many daily routines (driving, entrance to the workplace/ exit, control of multimedia devices, security applications, identification applications, etc.). Especially Advanced Driver Assistance Systems (ADAS) is a popular working area for image processing. Strip tracking systems, pedestrian detection systems, reading of traffic signs and signals are based on image processing. In this study, a new method has been developed to increase the visibility levels of road images at night driving. In these images, the brightness level is low because of insufficient of light sources (headlights and road lighting) which are often used to increase the driver's view. On the other hand, adversely affects the view of driver which the headlight of coming vehicles from opposite directions, poorly structured road lighting and etc. Especially the vehicle headlights coming from the opposite direction take the eye of the drivers and cause the level of view to decrease. Intense dark areas and light sources are in the image together. By so, special to these images requires the use of an adaptive improvement method. This is because, when classical image enhancement methods are used, the visibility levels of the dark areas are increased, and the shining regions are more likely to shine and the visibility level decreases in these regions. The developed method aims at enhancement these images that drivers be exposed to. For this purpose, the light sources in the image and the magnitudes of these light sources, the distance of the pixels to be calculated from the light sources, the value of the pixel itself and the neighboring pixels are used as separate parameters. Images are enhancement with the equations developed using these parameters. When the output images obtained with the use of the developed equations and the obtained Structural Similarity Index Maps (SSIM) are examined, it is seen that the developed method gives good results.
Moderating Effect of Organizational Capability on the Relationship Between Business Intelligence Capability and Performance Among Public Listed Firms in Kenya

Business Intelligence remains a primary focus in many organisations and it naturally attracts significant investment. Existing literature is nebulous and fragmented on the real impact and how well the insights induced by this technology have been transformed into successful business learning. Consequently, this paper focuses on determining the influence of organizational capabilities on the relationship between Business Intelligence capability and firm performance. The study employed interdisciplinary theories to realize the research objective, namely Information Systems Capability theory and Organizational Learning theory. In addition, the study was conducted using mixed methods research methodology and a crosssectional approach. The study used structural equations modeling technique (Partial Least Squares approach- SEM-PLS) to analyse quantitative data and validate the developed research model. Thematic analysis aided by Atlas.ti version 8 software was applied to analyse qualitative data. Findings of quantitative and qualitative strands of the study were triangulated at the data analysis stage based on convergence model. Results revealed that organizational capability has a positive and significant moderating impact. The findings provide fresh enlightenment into current Business Intelligence literature and opportunities for future research with implications for management, policy makers, and academia.
ACADEMIC STRESS IS ASSOCIATED WITH EMOTIONAL EATING BEHAVIOR AMONG ADOLESCENT

Academic stress is one of the sources of stress factor among ad olescent. Stress condition will trigger cortisol reaction process which associated with unhealthy eating behavior. Emotio nal eating is an eating behavior in response to stimulation of negative emotion. This study aims to analyze the association between academic stress with emotional eating behavior among adolescent at SMAN 6 Surabaya. This study used a cross sectional design. Samples were obtained using Cluster Random Sampling techniques with total sa mple of 133 people. Data were collected using the Educational Stress Scale for Adolescent (ESSA), Dutch Eating Be havior Questionnaire (DEBQ) and Food Frequency Questionnaire (FFQ). Kolmogorov-Smirnov was used to determine t he normality of data obtained. Association between variables was analyzed using Spearman correlation. The results showed that 47,4% students experienced moderate academic stress and 51,1% of students experienced emotional eat ing. There was signifi cant association between academic stress with emotional eating behavior (p=0.003). Emoti onal eating behavior was positively correlated with consumption of fast food or canned food, sweet food or cakes, d airy products and sweet beverages.
Can inner and outer containment counteract pulls and pushes toward delinquency? A test of Walter Reckless’s containment theory

The aim of the current study is to provide an empirical test of containment theory of Walter Reckless (1899–1988). The theory proposes that outer and inner containment hold adolescents back from delinquency even when external factors pull and push them toward it. This early control theory was ahead of its time, but never received the empirical attention it deserves. This article outlines the core theoretical concepts and the basic propositions in order to empirically examine their validity. We employed hybrid linear regression analysis using longitudinal survey data of 612 adolescents (12–18 years old) in the city of The Hague, the Netherlands. The results indicate that outer and inner containment can be meaningfully distinguished, and that several but not all propositions of the theory are supported. Inner and outer containment function as a buffer against external pulls and are able to counteract the effect of increases in environmental pulls during adolescence. We conclude that containment theory is still a promising interaction theory that can help us understand why adolescents who experience external pulls toward delinquency are able to resist these influences.
Cutaneous Leishmaniasis Outbreak Investigation in Hajjah Governorate, Yemen, in 2018: Case-Control Study

Background Cutaneous leishmaniasis (CL) is endemic in Yemen. About 4440 cases were reported in 2019. On July 23, 2018, a Hajjah governorate surveillance officer notified the Ministry of Public Health and Population about an increase in the number of CL cases in Bani-Oshb, Kuhlan district, Hajjah governorate. On July 24, 2018, Yemen Field Epidemiology Training Program sent a team to perform an investigation. Objective We aimed to describe a CL outbreak in Hajjah governorate and determine its risk factors. Methods A descriptive study and case-control study (1:1 ratio) were conducted. Cases included people who met the suspected or confirmed case definition of the World Health Organization and lived in Bani-Oshb subdistrict during the period from August 2017 to July 2018. Controls included people living for at least 1 year in Bani-Oshb without new or old skin lesions. Crude odds ratios (cORs) and adjusted odds ratios (aORs) with 95% CI were used to test the significance of associations. Results We identified 30 CL cases. Among the 30 patients, 7 (23%) were younger than 5 years, 17 (57%) were 5 to 14 years, 17 (57%) were females, and 23 (77%) had one lesion. The attack rate was 7 per 1000 population in the age group <15 years and 1 per 1000 population in the age group ≥15 years. On bivariate analysis, the following factors were significantly associated with CL: female gender (cOR 5.2, 95% CI 1.7-16.5), malnutrition (cOR 5.2, 95% CI 1.7-16.5), not using a bed net (cOR 14.5, 95% CI 1.7-122.4), poor house lighting (cOR 6.4, 95% CI 2.1-19.7), poor house hygiene (cOR 11.2, 95% CI 3.1-40.7), poor sanitation (cOR 14.5, 95% CI 1.7-122.4), living in houses without window nets (cOR 5.2, 95% CI 1.3-21.2), plantation around the house (cOR 6.5, 95% CI 2.1-20.5), animal barn inside or close to the house (cOR 9.3, 95% CI 1.9-46.7), raising animals (cOR 8.1, 95% CI 1.6-40.7), and having animal dung in or near the house (cOR 6.8, 95% CI 1.7-27.7). The following risk factors remained significant on multivariate stepwise analysis: female gender (aOR 22.7, 95% CI 1.6-320.5), malnutrition (aOR 17.2, 95% CI 1.3-225.8), poor house hygiene (aOR 45.6, 95% CI 2.5-846.4), plantation around the house (aOR 43.8, 95% CI 1.9-1009.9), and raising animals (aOR 287.1, 95% CI 5.4-15205.6). Conclusions CL was endemic in Hajjah governorate, and an increase in cases was confirmed. Many individual, housing, and animal related factors were shown to contribute to CL endemicity. Implementation of control measures directed toward altering the factors favoring contact among vectors, reservoirs, and susceptible humans is strongly recommended to control future outbreaks.
Numerical Study on Factors Affecting the Induction of Apoptotic Temperatures of Tumor in the Multi-Layer Skin Structure Using Monte Carlo Method

The incidence of skin cancer is increasing with the recent increase in UV exposure. The treatment of skin cancer generally proceeds through an excision of the tumor area, which causes bleeding into the affected area and surrounding tissues, and there is a possibility that secondary infection may occur. Photothermal therapy is drawing attention as an alternative treatment to overcome this limitation. In this study, a numerical analysis was performed on skin cancer tumors located between the reticular dermis and the skin surface by applying the Monte Carlo method. The numerical analysis derives a quantitative correlation using an effective apoptosis ratio with respect to the intensity of the laser that produces the optimal photothermal therapy effect and the volume fraction of gold nanorods (GNRs) injected into a tumor. Through this study, it is confirmed that the optimal treatment effect exists for the depth and length of the various tumors, the intensity of the laser, and the volume fraction of GNRs to minimize the thermal damage to the surrounding normal tissues while maximizing the apoptosis in the tumor. It is expected that it can be used as an optimal condition for better treatment while performing photothermal therapy in the future.
Sustainability of the Smart phone applications usage in rural India –An empirical study

The Indian smart phone applications market is really flourishing with India ranked as number one in terms of the downloads made via Android and Google play store. However the smart phone application penetration is still low in rural India as compared to its urban part. This study is first of its kind which tries to explore two things, one the reasons, why rural Indian market is not growing in terms of smart phone application downloads/usage and second some antecedents that can affect the behavioral intention of rural customers for increased smart phone application usage. For this study authors resorted to ethnographic in-depth interview during pre-test stage followed by collecting of responses through administrated questionnaires in the second part. Around 346 responses were collected from ten villages in Rangareddy district in Telangana state, in India. SEM was used as the statistical tool to run the hypothesis. In terms of smart phone application development, this study is unique one which tries to throw light immensely on how the marketers/developers can increase the sustainability of smart application usage among rural consumers which happens to be an untouched profitable segment till this point of time.
SAPAVE: an improved semi-analytical FE program for dynamic viscoelastic analysis of asphalt pavement

ABSTRACT Analyzing dynamic viscoelastic responses induced by moving loads is a significant issue for pavement design and performance evaluation. Developing three-dimensional FE models in commercial software is an effective method, but the time-consuming disadvantage prevents it from extensive engineering applications. In this paper, an improved semi-analytical FE model was proposed to overcome this drawback. Besides, modified artificial boundaries were applied to minimise the interference of reflected waves generated by model edges. Further, a program named SAPAVE has been developed in MATLAB to achieve the modeling procedure, of which accuracy and efficiency were verified by comparing with the three-dimensional FE model in ABAQUS. The computing cost of SAPAVE was only one-sixth of ABAQUS, while SAPAVE can roughly achieve the function of ABAQUS for simple pavement modeling. The response considering the asphalt layer as viscoelastic was quite different from the linear elastic in the comparative study. The viscoelastic analysis seems to be closer to the field situation. Besides, the impact of vehicle speed was studied to examine the application ability of SAPAVE, and the results were generally consistent with existing researches. Overall, this study indicates that SAPAVE is an efficient and accurate tool for mechanical analysis of asphalt pavement.
Trustworthiness and the Adoption of Business Analytics

ABSTRACT The satisfaction managers have in their business analytics is related to their perceived usefulness of it as an IT (Information Technology). However, their belief in the trustworthiness of the business analytics team contributes to both the level of analytics they utilize and their satisfaction with it. Both trustworthiness and perceived usefulness increased with better information quality, but information quality did not increase the level of business analytics analysis.
Measuring the Disposition Effect

Despite hundreds of papers confirming the existence of the disposition effect, too little attention has been devoted to the prevailing arguments on the choice of a given method to measure it. This paper fills this gap and compares different measurement approaches. First, based on empirical and simulation-based data, I show how results may differ across measures depending on market trends but, more importantly, on the frequency at which investors make their decisions. Second, the pitfalls in analyzing cross-sectional differences in the disposition effect are illustrated and discussed. Finally, I clearly show that hazard models are quite appropriate for measuring the disposition effect of any investor, be it a day trader or a typical retail investor who monitors his portfolio infrequently.
Reconstructive Social Innovation Cycles in Women-Led Initiatives in Rural Areas

Social innovations can tackle various challenges related to gender equity in rural areas, especially when such innovations are initiated and developed by women themselves. We examine cases located in rural areas of Canada, Italy, Lebanon, Morocco, and Serbia, where women are marginalized by gender roles, patriarchal values, male dominated economy and policy, and lack of opportunities for education and employment. Our objective is to analyze five case studies on how women-led social innovation processes can tackle gender equity related challenges manifested at the levels of everyday practice, institutions, and cognitive frames. The analyses are based on interviews, workshops, literature screening, and are examined via the qualitative abductive method. Results summarize challenges that rural women are facing, explore social innovation initiatives as promising solutions, and analyze their implications on gender equity in the five case studies. Based on our results we propose a new concept: reconstructive social innovation cycle. It refers to is defined as cyclical innovation processes that engage women via civil society initiatives. These initiatives reconstruct the existing state of affairs, by questioning marginalizing and discriminative practices, institutions, and cognitive frames that are often perceived as normal. The new concept helps with to assessing the implications that women-led social innovations have for gender equity.
Sistem Pendukung Keputusan Tingkat Kepuasan Pasien terhadap Mutu Pelayanan Rumah Sakit berdasarkan Metode ServQual

Pengukuran tingkat kepuasan pasien akan pelayan yang diberikan oleh institusi rumah sakit akan menjadi tolak ukur dalam meningkatkan mutu pelayanan. Teknologi informasi dan komunikasi dapat dimanfaatkan untuk mempercepat proses pengukuran mulai dari pengumpulan data hingga mendapatkan hasil analisis yang dapat digunakan sebagai data pendukung dalam pengambilan keputusan. Sistem pendukung keputusan yang terkomputerisasi dirancang memanfaatkan diagram-diagram yang ada pada Unified Modelling Language (UML) sebelum dikembangkan menjadi sebuah perangkat lunak. Hasil dari penelian ini berupa perangkat lunak yang dikembangkan dari perancangan yang terstruktur yang dapat digunakan sebagai alat pengumpulan data kemudian mengolahnya hingga menganalisis data menjadi informasi yang akurat untuk digunakan dalam pengambilan keputusan.
Effects of Wave-Induced Processes in a Coupled Wave–Ocean Model on Particle Transport Simulations

This study investigates the effects of wind–wave processes in a coupled wave–ocean circulation model on Lagrangian transport simulations. Drifters deployed in the southern North Sea from May to June 2015 are used. The Eulerian currents are obtained by simulation from the coupled circulation model (NEMO) and the wave model (WAM), as well as a stand-alone NEMO circulation model. The wave–current interaction processes are the momentum and energy sea state dependent fluxes, wave-induced mixing and Stokes–Coriolis forcing. The Lagrangian transport model sensitivity to these wave-induced processes in NEMO is quantified using a particle drift model. Wind waves act as a reservoir for energy and momentum. In the coupled wave–ocean circulation model, the momentum that is transferred into the ocean model is considered as a fraction of the total flux that goes directly to the currents plus the momentum lost from wave dissipation. Additional sensitivity studies are performed to assess the potential contribution of windage on the Lagrangian model performance. Wave-induced drift is found to significantly affect the particle transport in the upper ocean. The skill of particle transport simulations depends on wave–ocean circulation interaction processes. The model simulations were assessed using drifter and high-frequency (HF) radar observations. The analysis of the model reveals that Eulerian currents produced by introducing wave-induced parameterization into the ocean model are essential for improving particle transport simulations. The results show that coupled wave–circulation models may improve transport simulations of marine litter, oil spills, larval drift or transport of biological materials.