Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting pro-environmental behaviours: the role of environmental values, attitudes and knowledge

PurposeThis study aims to investigate the effect of prosocial values on pro-environmental behaviours via attitudes in which environmental knowledge and proself values moderate the relationship. This study also examines the application of the Theory of Planned Behaviour and Cognitive Dissonance.Design/methodology/approachThis study employed a quantitative method to examine potential positive or negative moderating effects of environmental knowledge and proself values on environmental attitudes and behaviour. Participants were undergraduate students recruited from a state university in the eastern part of Indonesia. The online survey link was randomly sent to 500 students in 14 different Faculties with a response rate of 57% (285) participants (80% female). Data were analysed using a moderated-mediation regression technique.FindingsThe results suggested that only biospheric value positively affected pro-environmental behaviours. Environmental knowledge negatively moderated the relationship between prosocial values and environmental attitudes. Similarly, high egoistic value potentially reduced the effect of environmental attitude on pro-environmental behaviours. Environmental knowledge could impede the positive impacts of prosocial values while egoistic value negates the effect of attitude on pro-environmental attitude.Research limitations/implicationsAlthough the findings supported most hypotheses, this study did not control the effect of some demographic variables such as education and social-economic status. Participants tended to share some similar characteristics, which potentially influenced the results.Originality/valueThis study challenged some common antecedents of pro-environmental behaviours and offered some alternative explanations. This study has offered a new insight in understanding unique interactions among values, knowledge and attitude.
Role of Perceived Management Support and Personal Valence in Promoting Behavioral Support for Change: A Social Exchange Theory Perspective

Individuals’ support for change is a critical success factor to effectively implement change. Therefore, identifying the possible antecedent and mechanism leading to one’s behavioural support towards change is necessary. The study aims to unfold this avenue of research empirically by examining the role of both person and context factor in promoting behavioral support for change. Data was collected from 292 academic staff of six public sector universities in Pakistan via cross-sectional mean. A self-reported questionnaire was used to collect responses from the desired sample. SPSS 25 and AMOS were used to analyse the data for its relevance to study’s objectives. Results revealed a positive impact of perceived management support on academic staff’s behavioural support for change. Moreover, personal-valence provides an effective intervening mechanism to translate the effect of perceived management support on both dimensions of behavioural support for change such as compliance and championing behaviour. The study contributes to the existing literature on organizational change particularly to the university settings by examining and empirically validating both person and context factor as significant predictors to academic staff’s behavioral support for change.
The use of information technology by restaurants in Joglosemar, the mainstay city of Indonesian culinary

According to the Indonesian Ministry of Tourism, Yogyakarta, Surakarta, Semarang (Joglosemar) are top culinary destinations in Indonesia, with information technology (IT) needed to strengthen its development. Therefore, this study examines IT's adaptation in restaurants owned by micro, small, and medium enterprises (MSMEs) at Joglosemar. This is a descriptive research with data obtained from 200 restaurants each in three cities through questionnaires, interviews, and observation, culminating in 600 restaurants. The result showed that restaurants adopt IT contact (92%), online transportation partner (81%), non-cash cashier payment (66%), IT cashier (61%), Wi-Fi (57%), and large orders-outside restaurant (49%) to improve their performance. This research contributes to providing a current overview of the development of IT restaurants in Indonesia, therefore it is expected to enable the entrepreneur to be more ready to face the business competition in the digital era. This research is limited to Joglosemar, therefore further study needs to investigate other top culinary cities. Secondly, this is a descriptive research on the adoption of IT by restaurants in Joglosemar, therefore further study needs to elaborate on the determinants factors of adoption of IT by restaurants and its effects on performance.
Enhancing Preservice Teachers’ Key Competencies for Promoting Sustainability in a University Statistics Course

In this rapidly changing world, universities have an increased responsibility to prepare professionals for a sustainable future, and teacher education is not an exception to this. In this study, we observed a group of preservice teachers engaging in a statistical investigation project. Specifically, we examined their degree of statistical knowledge; how effective the project was in enhancing their statistical knowledge and thinking; and how they participated in the project to make and share data-driven decisions. To this end, both qualitative and quantitative investigations were used. With the help of pre- and posttests, we found that the degree of knowledge differed between self-perceived and measured knowledge. Moreover, the results demonstrated the project’s effectiveness in enhancing the participating teachers’ statistical knowledge and thinking, specifically estimating the population mean and its interpretation. In making and sharing their decisions, the participating teachers applied multiple key competencies, crucial for promoting sustainability. Thus, the statistical investigation project was effective for enhancing preservice teachers’ statistical knowledge, thinking skills, and ability to promote sustainability.
Alterations in Free Fatty Acid Metabolism in Endocrine Disorders. Part I: Effect of Thyroid Hormone1

Fasting levels of plasma free fatty acid (FFA) and the response to epinephrine and norepinephrine infusions have been measured in normal subjects. The results have been compared with those of studies done on patients with hyperthyroidism, hypothyroidism and panhypopituitarism. In hyperthyroidism there was a significant elevation of resting levels of FFA and an enhanced mobilization of FFA after catechol amine stimulation. Hypothyroid subjects presented a wide variation in fasting levels and a broad range of response to catechol amine stimulation. Mobilization of FFA after catechol amine infusion was decreased, and this diminished response appeared to be related to the degree of thyroid deficiency. Preliminary observations on the disappearance rates of labeled palmitic acid suggested that thyroid hormone has an effect on utilization as well as mobilization of fatty acids. Studies in panhypopituitary patients indicate that fasting levels and the response to catechol amines are related primarily to thyroid d.
Integrating Mobile Multimodal Interactions based on Programming By Demonstration

ABSTRACT Mobile Multimodal Interaction aims at exploiting complementary aspects of human communication capacities and new mobile sensors. Recently, most mobile applications are limited to a basic interaction modality, namely touchscreen, which is subject to restricted interaction under certain situations. In this paper, we present On-the-Fly Interaction Editor (OFIE), an application that allows mobile end-users to define and integrate sensor-based unimodal and multimodal input interactions in their already installed applications according to their contexts. OFIE is based on the Event-Condition-Action rules and Programming By Demonstration approach that allows end-users to demonstrate their expected action simply by performing it on the application’s interface. We evaluated OFIE through a controlled user study. Our evaluation involves 15 participants distributed on 4 groups based on their programming experience. Each participant was invited to integrate six input interactions (three multimodal inputs). The initial results show that end-users are able to successfully integrate sensor-based input interactions using OFIE.
Not all corporate social responsibility (CSR) is created equal: a study of consumer perceptions of CSR on firms post fraud

ABSTRACT Through the lens of Resource-Advantage Theory, we find that consumer’s perceptions of CSR and CEO compensation influence their view of the firm in a post-fraud environment. Those who see CSR used in a post-fraud environment as a positive strategy prefer to see firms that engage in CSR that assists close stakeholders while those who do not like seeing CSR used as a strategy post fraud would prefer CSR that benefits the community at large. Our findings suggest that firms may wish to target consumers differently when communicating post-fraud CSR messages.
The Evolutionary Model of Corporate Entrepreneurship: A Case Study of Samsung Creative-Lab

Despite international interest in corporate entrepreneurship research, relevant knowledge has not been systematically accumulated. Even in practice, the discussions of corporate entrepreneurship revolve around the appropriate level necessary and the preferred method of action. This paper proposes an evolutionary model that outlines corporate entrepreneurship overall in terms of an organization’s entrepreneurial activities. For the research objective, this paper includes in-depth case studies on Samsung’s Creative Lab. The Creative-Lab of Samsung has been actively implementing corporate venture system for eight years. We conducted collective case studies by focusing on a single case (Creative-Lab) and then moving to multiple cases (Creative-Lab spin-off companies). Firstly, the study identifies the development process of entrepreneurship from the individual-level to the firm-level, and from the firm-level to the social-level. Secondly, the study confirms that corporate venturing and the corporate spin-off system have a positive impact on entrepreneurial behavior, which is crucial to seize opportunities. Thirdly, based on the growth factors and performance of corporate entrepreneurship, an evolutionary model of corporate entrepreneurship is proposed in this paper. This study can contribute to the establishment of an integrated and structured mechanism of related research as it comprehensively reviews the antecedents, elements, and outcomes of corporate entrepreneurship.
Structural and compositional heterogeneity influences the thermal environment across multiple scales

Heterogeneity has a critical influence on biodiversity and ecosystem processes. While the influence of heterogeneity on species diversity and abundance is well documented, how heterogeneity influences the distribution and arrangement of necessary resources across a landscape is still unclear. Heterogeneity in vegetation structure and composition is often cited as an important factor in the nearground thermal environment; however, because of a paucity of comparative studies across landscapes that differ in their degree of vegetation heterogeneity, researchers lack knowledge of the underlying mechanisms that influence variation in the thermal environment. Particularly, we do not have a clear understanding of the relative contribution of structural and compositional vegetation heterogeneity to thermal patterns. Therefore, we assessed the thermal environment in nine grassland landscapes that differed in their degree of structural and compositional heterogeneity. At the landscape level, we used a variance partitioning approach with linear mixed models to measure the link between four metrics of vegetation heterogeneity and temperature variability. At the microsite level, we used piecewise structural equation models to assess the fine-scale drivers of temperature in these landscapes and develop a causal model describing the relationship between vegetation variables and temperature. We found that temperature variance at the landscape scale was strongly related to the diversity of plant functional groups, heterogeneity in plant species composition, and variation in vegetation height. At finer scales, species richness, vegetation height, and overhead obstruction were the best predictors of temperature once weather was accounted for. Vegetation composition variables indirectly influenced fine-scale temperature variation through their effects on vegetation structure. These results suggest that scale has a strong influence on the observed relationship between temperature variance and different metrics of vegetation heterogeneity. Our results provide support for the role of landscape heterogeneity in shaping the thermal landscape and offer insights into the possible impacts of habitat homogenization on the thermal environment.
The Influence of Multiple Pass Submerged Friction Stir Processing on the Microstructure and Mechanical Properties of the FSWed AA6082-AA8011 Joints

The AA6082–AA8011 friction stir-welded joints were subjected to submerged multiple pass friction stir processing to evaluate the microstructure and mechanical properties of the joints. A maximum of four submerged friction stir processed passes were used in this study. All the specimens were extracted from three different joint positions (start, middle and end). The tests conducted included microstructural analysis, tensile tests, hardness and fracture surface morphology of the post-tensile specimens, were performed using a scanning electron microscope (SEM). There was no particular trend in the microstructure and mechanical properties when looking at the specimen positioning in all the passes. The minimum mean grain sizes were refined from 3.54 to 1.49 µm and the standard deviation from 5.43 to 1.87 µm. The ultimate tensile strength was improved from 84.96 to 94.77 MPa. The four-pass SFSPed specimens were found to have more ductile properties compared to the one-pass SFSPed one. The hardness of the stir zones in all the passes was found to be higher compared to the AA8011 base material but lower than the AA6082 one. The maximum stir zone hardness of 75 HV was observed on the one-pass SFSP joints.
Covid-19 Chest X-ray Images: Lung Segmentation and Diagnosis using Neural Networks

COVID-19 has caused world-wide disturbances and the machine learning community has been finding ways to combat the disease. Applications of neural networks in image processing tasks allow COVID-19 Chest X-ray images to be meaningfully processed. In this study, the V7 Darwin COVID-19 Chest X-ray Dataset is used to train a U-Net based network that performs lung-region segmentation and a convolutional neural network that performs diagnosis on Chest X-ray images. This dataset is larger than most of the datasets used to develop existing COVID-19 related neural networks. The lung segmentation network achieved an accuracy of 0.9697 on the training set and an accuracy of 0.9575, an Intersectionover-union of 0.8666, and a dice coefficient of 0.9273 on the validation set. The diagnosis network achieved an accuracy of 0.9620 on the training set and an accuracy of 0.9666 and AUC of 0.985 on the validation set.
Hardware in the Loop Testing of Adaptive Inertia Weight PSO-Tuned LQR Applied to Vehicle Suspension Control

This paper presents an adaptive inertia weight particle swarm optimization (AIWPSO) employed for solving the multiobjective weight optimization problem of LQR applied for the vehicle active suspension system (ASS). To meet the competing control objectives of ASS including the ride comfort, road handling, and suspension travel, the state feedback controller design for ASS is formulated as an optimization problem and an improved PSO is employed for finding the optimal weights of the linear-quadratic regulator (LQR). Specifically, for solving the premature convergence of the particles and imbalance between exploration and exploitation capabilities of PSO, an adaptive inertia weight that updates the velocity of the particles based on the success rate is used. The efficacy of the AIWPSO-tuned LQR is experimentally tested on a quarter-car ASS plant using the hardware in loop (HIL) testing for an uneven road surface. Experimental results highlight that, compared to conventional PSO-tuned LQR, the proposed scheme can significantly minimize the vehicle body acceleration due to irregular road profile while guaranteeing the minimum tire friction for passenger safety. The ISO 2361-1 standards adopted to evaluate the ride and health criteria substantiate that the proposed scheme reduces the vibration dose value by 25.34% for a bumpy road profile. Moreover, the cumulative power spectral density (CPSD) of vehicle body acceleration assessed in both low- and high-frequency regions manifests the significant improvement in the ride comfort.
The conundrum of bank capital structure: Empirical evidence from Pakistan

Abstract This paper aims to analyze factors explaining the capital structure puzzle in the banking sector of Pakistan. Capital Adequacy Ratio (CAR) is used as a proxy for bank capital structure. Secondary data has been collected from the publications of the State Bank of Pakistan and the annual reports of banks from 2006–2017. The data is analyzed by applying the pooled OLS, fixed effect, and the GMM estimator. The determinants are grouped in (i) bank financial performance (ii) bank risk-based and (iii) industry level. Using bank financial performance indicators, the alternate cost of capital is significant, and management quality is an insignificant determinant of capital structure. Similarly, using bank risk-based variables, default risk, and credit risk is statistically significant whereas, bank risk index is statistically insignificant in explaining capital structure. Furthermore, using the industry-specific variables, both the average CAR of the banking sector and the market competitiveness proxied by the Herfindahl-Hirschman Index (HHI) is significantly predicting capital structure. Overall the bank risk-based and the industry-specific indicators are explaining bank capital structure more significantly compared to other indicators in the study. Finally, this paper included the financial crisis to observe any exogenous shocks while studying capital structure which is found to be significant in the current study.
Effect of Soft Drink on Surface Roughness of Preheated and Non-Preheated Nanohybrid Composite Resins

Introduction: Nanohybrid composite resins exhibit a smooth surface due to the presence of small filler particles. Surface roughness is affected by the low pH of soft drinks. A rough surface leads to bacterial adhesion and plaque accumulation, inducing secondary caries. Preheating involves the heating of the composite resin before application, which in turn enhances its properties. Objective: To analyze the difference in the surface roughness of preheated and non-preheated nanohybrid composite resins before and after immersion in soft drinks. Methods: Cylindrical samples of nanohybrid composite resin Filtek™ Z250 XT (10 mm in diameter and 2 mm in height) were prepared and divided into two groups: preheated and non-preheated. For samples in the preheated group, the composite resin was heated using a Micerium SpA heater. All samples were immersed in 10 mL of the soft drink for 2 h per day for 15 days. Surface roughness was measured before immersion and at 12 and 15 days of immersion using the Surface Roughness Tester Taylor Hobson S100 Series. Results: The surface roughness changed at every measurement in each group. Significant differences in the surface roughness of the non-preheated group of the preheated group after 12 days of immersion were not observed. However, a significant difference in the surface roughness of the preheated group after 15 days of immersion was observed. Conclusion: Soft drinks significantly affect the surface roughness of preheated nanohybrid composite resins after 15 days of immersion.
DETERMINANTS OF AGRICULTURE AS A DEGREE CHOICE AMONG THE YOUTH IN BUKIDNON, PHILIPPINES

1. Faculty,College of Agriculture,Central Mindanao University. 2. Professor, College of Public Affairs, University of the Philippines Los Baños. Manuscript Info Abstract . Manuscript History Received: 15 August 2020 Final Accepted: 18 September 2020 Published: October 2020
Dividends Announcement and Semi Strong Form of Efficiency at The Nairobi Securities Exchange in Kenya

The objective of this study was to establish the effects of dividend announcement to current market prices at the Nairobi Securities Exchange, with four specific objectives; to determine the information content of dividend announcements, to determine the extent to which prices converge to new values after dividend announcements on a sector by sector basis, to establish the market reaction to announced information and also to establish whether investors can secure excess returns by acting on announced information. A 66 days event timeline was employed from 2005 to 2015 on daily closing stock prices. A sample of 179 dividend announcements from 22 listed companies in 8 sectors were drawn and analysed using an OLS Market Model. Findings of the research conclude that; dividend announcements do have an impact on stock prices for the Agricultural, Banking, Commercial, Construction, Manufacturing and Telecomm Sectors and not for the Energy Sector, Insurance Sector and the Nairobi Securities Exchange Market. It takes more than five days for prices to adjust to their correct values and this makes it possible for market players to profit from the inefficiency by earning abnormal returns. We conclude that the Nairobi Securities Exchange is not semi-strong form efficient.
JAMBURA JOURNAL OF INFORMATICS

Lack of students’ attention and interest to learn influence the learning process within the class. Thus, their learning achievement decreased. This study aims at designing a motion graphic, video animation learning media in Indonesian history subject. This study uses a research and development method based on the modified research model developed by Borg and Gall with five stages model namely, needs analysis, media design, product development, evaluation and product trial, and final product. This study reveals that the average pretest score before the implementation of the learning media is 57.60, whereas the average posttest score after the motion graphic, animation video learning media implementation is 79.20. The fitness of the media feedback from the media experts’ score is 88% with very appropriate criteria. Also, the material expert gives a score of 89% for the media appropriateness with very appropriate criteria, and users’ (students) feedback on the media is 87.9% with very appropriate criteria. It is concluded that the designed motion graphic, animation video learning media for Indonesian history subject positively influences students’ learning achievement and is appropriate to be applied in Indonesian history subjects.