Miracle-dz/UniFAR-FTUs huggingface dataset:
Linking Human Resource Management Practices to Organizational Performance in Nigeria Education Sector

This study is aimed at examining the relationship between human resource management practices and organizational performance. Training and development and compensation practices were mainly incorporated in our research model. A sample of 181 Education Ministry, boards, parastatals and agencies in seven states of North-Western Nigeria was drawn using stratified proportionate sampling technique. We employed partial least squares path modeling to test our hypothesized model. As expected, we found that training and development had a significant and positive relationship with organizational performance. In the same vein, compensation system was found to be significantly related to organizational performance. Consequently, policy makers, managers and administrators in educational sector are encouraged to provide adequate training to its employees as well as appropriate compensation system need to be able to put in place to promote high employee performance and in return achieve organizational performance. ”
The Case for Public Financing of Environmental Common Goods for Health

Abstract Safeguarding the continued existence of humanity requires building societies that cause minimal disruptions of the essential planetary systems that support life. While major successes have been achieved in improving health in recent decades, threats from the environment may undermine these gains, particularly among vulnerable populations and communities. In this article, we review the rationale for governments to invest in environmental Common Goods for Health (CGH) and identify functions that qualify as such, including interventions to improve air quality, develop sustainable food systems, preserve biodiversity, reduce greenhouse gas emissions, and encourage carbon sinks. Exploratory empirical analyses reveal that public spending on environmental goods does not crowd out public spending on health. Additionally, we find that improved governance is associated with better performance in environmental health outcomes, while the degrees of people’s participation in the political system together with voice and accountability are positively associated with performance in ambient air quality and biodiversity/habitat. We provide a list of functions that should be prioritized by governments across different sectors, and present preliminary costing of environmental CGH. As shown by the costing estimates presented here, these actions need not be especially expensive. Indeed, they are potentially cost-saving. The paper concludes with case examples of national governments that have successfully prioritized and financed environmental CGH. Because societal preferences may vary across time, government leaders seeking to protect the health of future generations must look beyond electoral cycles to enact policies that protect the environment and finance environmental CGH.
Human-Machine Communication and the Burden of Reaching Internal Publics: Does Technology Acceptance Model Play a Role?

The objective of this study was to examine how variablesss from Technology Acceptance Model (TAM) play a role in determining the use of digital interfaces for internal communication in public service institutions. The researchers also examined the most preferred digital interface for internal communication among employees of public service institutions as well as the relationship between internal communication and public service delivery. A total of 385 respondents working in a public service institution took part in the study. The questionnaire was the instrument for data collection. To analyse the results, the researcher used both descriptive and inferential statistics. The result showed that perceived ease of use, perceived usefulness and attitudes to digital interfaces significantly correlate actual use. It was also found that social media was the most preferred digital interface for internal communication among employees of public service institutions. Our result also suggested a significant association between effective internal communication and public service delivery. The theoretical, scholarly and practical implications of the results have been explored.
Regional Foreign Direct Investment Potential in Selected African Countries

The recent devolutionary trend across the world has been in part fuelled by claims of a supposed ‘economic growth by direct investment dividend’ associated with the fiscal decentralization. There is however, little empirical evidence to substantiate these claims. Most prior research has determined different research techniques of measurement by generating mix results. More so, these studies do not differentiate between short and long run techniques and mechanisms through which county expenditure affects economic growth, by investment growth, and by foreign reserve of African countries. The background has investigated empirically the short and long run techniques effect of components of county expenditure on economic growth investment, by foreign direct investment growth in the African countries in period of 2013 to 2017. The variables tested by unit root by no stationary at interval levels. The long and short run of variables computed by ARDL methods by Keynesian theory. However, the budget allocation and execution improved to capital infrastructure and like transport communication help to improve private capital accumulation and economic growth.
The Economic Empowerment Through Entrepreneurship and Cooperatives for the Harmonization in Society

The community has disharmony and potential conflicts caused by traumatic from terrorism arrests, so it requires anticipation in empowerment activities as a social and economic rehabilitation of the community. Therefore, the study aims to create economic empowerment models in entrepreneur and cooperative institutions for the harmonization of society. Study used qualitative research methods of Participatory Action Research (PAR). Data was collected through interviews, documentation, observation, and Focus Group Discussion. Informants have been purposive selected form each research location i.e. 25 people from the entrepreneurship group and cooperatives. Research location Binangun District of Cilacap Regency in Central Java and Cikoneng District of Ciamis Regency in West Java. The research analysis through triangulation, seeking diversity and investigation with society. The results showed the implementation of community economic empowerment model, it was succesful to set the spirit and togetherness to improve knowledge and skills of entrepreneurship and cooperatives, execute a program extension, training and comparative study. The successfully implemented to monitoring and evaluation in the form of assistance, expansion of market access and partnership, and then managed to become rehabilitation process of mental, social and economic from the traumatic, negative stigma and disharmony in the community after the event of arresing terrorism suspected.
A Systematic Review of mHealth apps Evaluations for Cardiac Issues

Currently, with the widespread penetration of mobile devices with Internet access, including the smartphones, they can allow specific and/or complementary activities in the health field as well as in other commercial sectors. To verify the impact of the studies about medical scientific publications relatives to cardiac mobile applications (app). This review corresponds to information in scientific journals of high impact. The intention of this review is respond to the follow question: How these research works have evaluated the performance of health mobile applications, with a special interest in cardiac issues? This review of these searches corresponds to an analysis by 4 categories, which are: Assessment of the wearables—Body Care, Use of sensors in the applications, app in health, Health Care—Comparisons of review app and app specialized commercial/clinical use. Only 6% of the app are associated with a medical professional, 15% is published by a professional medical society and 63% according to the opinions of the user. It provides evidence of how some apps have been evaluated, and in some cases the effectiveness of the estimated accuracy is not in line with the real situation. In Panama, a platform has been presented that permit the integration of health applications for patient follow-up. AmI-HEALTH has been developed to provide a mechanism for self-management of hypertensive patient data, by re-cording elements such as blood pressure (systolic, diastolic and pulse). In this point is very important to remember to the near relation between the Cardiac Issues and the hypertension condition. This makes us reflect on the true implications that bring us closer to these technological innovations. Today, our world is so changing and globalized.
Listening to the Consumer: Exploring Review Topics on Airbnb and Their Impact on Listing Performance

While research has investigated various aspects of electronic word of mouth and their effects on business performance, it has neglected detailed topics in reviews. This study explores this new aspect in reviews and examines the effects of review topics on Airbnb listing performance. We use 2,799,420 reviews from 64,464 listings posted on the Airbnb platform in 10 U.S. cities. Using the latent Dirichlet allocation method, we identify 16 key topics of consumer reviews on Airbnb. Then, using a negative binomial regression model, we show that various factors can affect a listing’s performance on Airbnb. These findings have implications for Airbnb hosts and the sharing economy.
Linking employee wellbeing and stakeholder quality of life: The case of aged care

Aged care is a rapidly growing sector in the Australian economy due to an aging population and extended life expectancies. The major challenge currently faced by the sector is to provide quality of care despite staff shortages and budget constraints. In this paper we consider the role of employee wellbeing in supporting quality of life for the various stakeholders including clients, families and the wider community. We suggest that employee wellbeing is directly linked to service quality and overall business performance. We further suggest that HR practices such as recruitment, selection, training, development, and compensation play a significant role in enhancing and maintaining employee wellbeing. To clarify the relationship between employee wellbeing, service quality and quality of life we present a conceptual model and argue that the future success of aged care will depend on a holistic approach to service quality.
Control design and implementation of a spiral spring energy storage system connected to a grid via PMSG

For an innovative spiral spring energy storage system, the permanent magnet synchronous generator (PMSG) is utilized as the energy conversion device due to its simple structure, low weight and high torque. During power generation, the output torque and moment of inertia of the spiral spring are changing continuously and simultaneously and the parameters of the PMSG show uncertainties. Furthermore, the DC link voltage of the converter should be stable and the power injected into the grid needs to be controlled. First, the change features of the external power source and the uncertainties of the generator's internal parameters are expressed as the comprehensive disturbances, which are introduced into the dynamic model of the PMSG and also modify the dynamic model. Then, the high gain observers are utilized to estimate the comprehensive disturbances, and an improved robust backstepping control scheme integrating L2 gain and high gain observers is proposed. Secondly, the gridside inverter controller for the DC voltage loop and reactive power loop is designed based on the backstepping theory. Finally, hardware implementation is fulfilled to verify the presented algorithm. The results show that high gain observers are able to accurately estimate the external and internal interferences; the proposed control scheme can effectively suppress the external and internal interferences and guarantees output current, operating speed of the PMSG and output reactive power to correctly track respective references, and effectively stabilize the DC link voltage.
Control and analysis of DC Microgrid with multiple distributed generators

The direct integration of renewable energy resources to the utility grid is pretty tough due to their intermittent feature and dispersed nature. Microgrid is one promising approach to gather the local distributed generators (DGs), supply local loads as well as exchange power with the utility grid as a controllable unit. This local-generation-localconsumption mode is able to avoid the long distance power transmission, thus can benefit a higher efficiency. The control aim of DC microgrids is to make the multiple DGs share the load properly as well as maintain the DCbus voltage stable. In steady state, the constrains of the classic droop control in multiple DGs environment are analyzed, and a mixed compensation method using common current is proposed to improve the voltage and load sharing performance simultaneously. In dynamic state, the system comprehensive model is constructed by the introduction of virtual inductor in the equivalent circuit of the DG, then several reduced-order models are examined to check their effectiveness for the system stability analysis. A reduced-order multi-scale model (RMM) is proposedto keep major time scale information as well as reduce the system complexity. Finally, an active disturbance rejection control (ADRC) based control method is proposed to realize the time scale droop control. It can effectively adjust the dynamic of the local control by adjusting the bandwidth of the Linear Extend State Observer or/and the controller. The proposed analysis and control methods are verified by experimental tests in our laboratory platform.
Magnetic resonance brain images algorithm to identify demyelinating and ischemic diseases

Brain demyelination lesions occur due to damage of the myelin layer of nerve fibers, this deterioration is the cause of pathologies such as multiple sclerosis, leukodystrophy, encephalomyelitis. Brain ischemia is the interruption of the blood supply to the brain, and the flow of oxygen and nutrients needed to maintain the correct functioning of brain cells. This project presents the results of an algorithm processing images with the the main objective of identify and differentiate between demyelination and ischemic brain diseases through the automatic detection, classification and identification of their features found in the magnetic resonance images. The sequences of images used were T1, T2, and FLAIR and with a dataset of 300 patients with and without these or other pathologies, respectively. The algorithm in this stage uses Discrete Wavelet Transform (DWT), principal component analysis (PCA) and a kernel support vector machine (SVM). The algorithm developed indicates a 75% of accuracy, for that reason, with an effective validation could be applied for the fast diagnosis and contribute to an effective treatment of these brain diseases especially in the rural places.
Career engagement of different generations: A case study in the information and communication technology (ICT) sector in Lithuania

The aim of this article is to analyse career engagement of different generations in the Information and Communication Technology (ICT) sector in Lithuania. The research is based on the Kaleidoscope Career Model and Career Engagement Scale. The research included 571 representatives of Generation X and Generation Y living in Lithuania, EU, and those working in the ICT sector and/or studying in the area of Informatics. The Pearson correlation analysis and Independent Samples t Test were used for data analysis. The research revealed that career engagement of Generation X in the ICT sector is higher than that of Generation Y and is influenced by a variety of socio-demographic and other factors. The dimensions of the Kaleidoscope Career Model—Authenticity, Balance and Challenge—and their need are more vividly expressed in Generation X than in Generation Y. Statistically significant differences were identified in career engagement of generations X and Y and Balance and Challenge dimensions of the Kaleidoscope Career Model. Keywords: Career engagement, different generations, Generation X, Generation Y information and communication technology (ICT) sector.
Falling Prey to Online Romantic Alternatives: Evaluating Social Media Alternative Partners in Committed Versus Dating Relationships

Social media represents an integral platform that is currently used to maintain and develop new social connections including alternative romantic partners. Over engagement with online friends and pursuing alternative partners can potentially threaten the primary romantic relationship. In the present study, the author examined if the partners’ relationship status is a predictor of relationship satisfaction, quality of online romantic alternatives, online infidelity-related behaviors, social media addiction, and the total number of social networking sites (SNSs) accounts. In a cross-sectional study, romantic partners (N = 578, 378 females and 200 males) completed a battery of self-report scales. The partners were divided into two groups based on their relationship status: Those who reported to be in a committed relationship (n = 330) and those who reported to be in a casual dating relationship (n = 248). Results revealed that there is a significant between-group difference in the way both groups evaluated the quality of potential alternative partners and level of SNSs addiction. However, there was no between-group difference in relationship satisfaction, SNSs infidelity behaviors, or the total number of SNSs accounts. The dating group reported significantly more sexual alternatives than the committed group. However, the number of potential committed alternatives was not significantly different between the two groups. Implications and limitations of the study are discussed.
Corporate social responsibility disclosure and Shari'ah supervisory board : a case study of Islamic banks in GCC region

The awareness of corporate social responsibility (CSR) has been observed among firms since last few decades. The existing literature related to Islamic finance has emphasised nature and level of CSR disclosure, rather than examining the elements that may impact the level of such CSR disclosure. Based on such understanding, this study aims to examine the level of the CSR disclosure as well as measure the impact of the Shari’ah Supervisory Board (SSB) on level of the CSR disclosure of Islamic banks in the Gulf Cooperation Council (GCC) countries. In order to test the research hypotheses and answer the research questions, this study uses the data gathered from the annual reports of the sampled GCC Islamic banks covering the period between 2006 and 2016. Accordingly, this study applied the content analysis method to analyse the data from twenty-eight Islamic banks. Furthermore, this study uses OLS multiple regression with fixed effect model to examine the effect of SSB on the level of CSR disclosure in the case of the sampled GCC Islamic banks. The research findings reported that the examined Islamic banks in the GCC region scored relatively a low level of CSR disclosure at a value of 0.53. Furthermore, the fixed effect regression model shows that SSB has a significant and positive relationship on the level of CSR disclosure in the case of the examined Islamic banks. Having achieved such results, it can be stated that when Islamic banks pay more attention to their SSB, they will disclose a greater level of information related to their CSR activities in their annual reports. Furthermore, to have a comprehensive understanding, this study examined the effect of SSB on the individual dimensions of the CSR, where statistically significant relationship is achieved by fixed effect regression analysis of the examined data throughout the sample period in the case of the GCC Islamic banks.
Effect of Annotation Preferences of the EFL Students’ on Their Level of Vocabulary Recall and Retention

The contemporary era brings technology into every part of our lives. As a result of technological improvements, education process has been affected and the use of technological devices is inevitable. Teaching language has also been affected by this movement. Thus, Mobile-Assisted Language Learning has gained importance through the recent years. Within light of these, the aim of this study is to understand the effect of annotation use on vocabulary recall and retention levels of English as a foreign language students. A software called Vocastyle was developed for this study. It included annotations that helped students to learn and remember new vocabulary items. The participants of the study were 122 students of a state elementary school in which multimedia learning is benefited at a major city of Turkey. In order to understand whether the use of annotations caused any difference between students’ level of vocabulary recall and retention, the pre-, post-, and delayed posttests were applied. Quantitative data analyses were done via descriptive statistics, chi-square, multivariate analysis of variance, and Kruskal–Wallis and Mann–Whitney U tests. The results implied that learners who used multimedia annotations recalled and retained better than the learners who used paper-based annotations and who received no treatment at all.
Rapid Capture of Topography for Mobility and Situation Awareness

To address the need for rapid capture of terrain profiles, and changes in terrain, researchers from Michigan Tech demonstrated a UAS collection system, during a live exercise, supported by the North Atlantic Treaty Organization’s (NATO) Science and Technology Organization (STO). The UAS collection system was deployed to provide high resolution topography (resolution less than 1 cm) with a terrain collection rate greater than 1 meter per second and results were processed within minutes. The resulting topography is of sufficient quality to demonstrate that the technique can be applied to update mobility models, as well as the detection of traverse by ground vehicles.
Word similarity score as augmented feature in sarcasm detection using deep learning

Sarcasm detection is an important task in natural language processing (NLP). Sarcasm flips the polarity of a sentence and will affect the accuracy of sentiment analysis task. Recent researches incorporate machine learning and deep learning methods to detect sarcasm. Sarcasm can be detected by the occurrence of context disparity. This feature can be detected by observing the similarity score of each word in the sentence. Word embedding vector is used to calculate word similarity score. In this work, the word similarity score is incorporated as an augmented feature in the deep learning model. Three augmenting schemes in deep learning models are observed. Results show that in general, a word similarity score boosts the performance of the classifier. The accuracy of 85.625% with F-Measure of 84.884% was achieved at its best.