Miracle-dz/UniFAR-FTUs huggingface dataset:
Authoritarian-benevolent leadership, active implementation and job performance: An investigation on the effectiveness of ambidextrous leadership in the Chinese context

Ambidextrous leadership is key to solving organizational tension and complex problems. This type of leadership has gained attention in the field of organizational behavior in recent years. Ambidextrous leadership refers to a set of two complementary leadership behaviors and the flexibility switch between two different behaviors. Existing studies noted the extensive benefits of ambidextrous leadership to employees and organizations. These advantages include enhancement of the psychological empowerment of employees, exploratory and exploitative behaviors, innovation, and organizational change. Prior studies focused on ambidextrous
Protocol for Multiple Black Hole Attack Avoidance in Mobile Ad Hoc Networks

Mobile ad hoc networks (MANETs) form a new wireless networking paradigm with unique characteristics that give them appreciated interest in a vast range of applications. However, many challenges are facing MANETs including security, routing, transmission range, and dynamically changing topology with high node mobility. Security is considered as the main obstacle for the widespread adoption of MANET applications. Black hole attack is a type of DoS attack that can disrupt the services of the network layer. It has the worst malicious impact on network performance as the number of malicious nodes increases. Several mechanisms and protocols have been proposed to detect and mitigate its effects using different strategies. However, many of these solutions impose more overhead and increase the average end-toend delay. This chapter proposes an enhanced and modified protocol called “Enhanced RIDAODV,” based on a preceding mechanism: RID-AODV. The proposed enhancement is based on creating dynamic blacklists for each node in the network. Each node, according to criteria, depends on the number of mismatches of hash values of received packets as compared with some threshold values, and the sudden change in the round-trip time (RTT) can decide to add or remove other nodes to or from its blacklist. The threshold is a function of mobility (variable threshold) to cancel the effect of normal link failure. Enhanced RID-AODV was implemented in ns-2 simulator and compared with three previous solutions for mitigating multiple black hole attacks in terms of performance metrics. The results show an increase in throughput and packet delivery ratio and a decrease in end-to-end delay and overhead ratio.
An appraisal of needs and access of in-service education and training for teachers in basic Schools for the Deaf in Ghana

Teachers like all other professionals need to undergo continuous professional development through in-service training to upgrade their skills and the competencies in the profession. This paper examined the availability of in-service training to teachers of the deaf in Ghana as well as the requirements for the provision of in-service education. To achieve this, ninety-four teachers and four administrators from the schools for the deaf from ten regions were sampled for the study. Questionnaire and interviews were used to collect data. The data were analyzed using descriptive and inferential statistics. The study revealed that in-service training programmes are highly irregular. Insufficient funds have also been identified as one of the major factors hindering the organization of in-service education. Key recommendations are that staff development should be viewed as a policy issue, as a necessity and continuous process. Thus, more resources should be devoted to staff development at regular intervals. Key words: In-service training, professional development, needs, access, teacher, deaf.
Alat Ukur Berat Badan, Tinggi Badan dan Suhu Badan di Posyandu Berbasis Android

Perkembangan ilmu pengetahuan dan teknologi semakin meningkat terutama di bidang elektronika. Hal tersebut menginspirasi peneliti untuk membuat alat yang bersifat ekonomis dan efisien, sehingga mempunyai fungsi utama yaitu untuk mempermudah suatu pekerjaan kader posyandu. Sistem Alat ukur berat badan, tinggi badan dan suhu badan di posyandu berbasis android merupakan pengembangan dari peneliti sebelumnya yang didukung dengan tampilan data angka yang muncul di android untuk mempermudah kader posyandu dalam melihat atau mengamati data angka pada bayi di posyandu. Perancangan alat terdiri dari arduino uno sebagai pengolah data, sensor load cell (berat), sensor ultrasonik (tinggi) dan sensor ds18b20 (suhu) kemudian data angka hasil pembacaan akan berkomunikasi serial menggunakan bluetooth hc-05 selanjutnya akan ditampilkan pada aplikasi smartphone android dalam bentuk data angka. Dari hasil pengujian dan pengambilan data didapatkan akurasi sensor load cell sebesar 96,1 - 96,5 %, sensor hc-sr04 sebesar 99,74 - 99,8 %, dan sensor ds18b20 sebesar 99,56 - 99,66 %, hal ini menunjukan bahwa ketiga sensor yang digunakan memiliki sistem yang baik dengan akurasinya yang tinggi.
A multi-criteria decision making model for the selection of open data management systems

A selection of advanced open and linked data technologies is very important in improving the impact of open government. This paper seeks to provide a multi-criteria decision model assessing open data management systems that are being deployed to enhance the e-government development. More precisely, it aims to provide a solution to the existing selection problem. The proposed evaluation framework consists of criteria identified through a systematic literature review focusing on selected open data management systems and their various quality dimensions. The fuzzy analytic hierarchy process was applied to validate the proposed modelling an illustrative case study. For this purpose, an expert panel was established. Additionally, a sensitivity analysis was performed to understand the effects of the chosen priority weights. The results imply that open-source CKAN is the most suitable system (platform) that fulfils the requirements and characteristics of open data.
Case Study of a New Teacher Mentoring and Induction Program

ii Dedication . iii Acknowledgements . iv Chapter 1: Introduction . 1 Background of the Study . 1 Statement of the Problem . 2 Purpose of the Study . 3 Research Questions . 3 Conceptual Framework . 4 Research Method and Design . 6 Definition of Key Terms . 7 Assumptions, Limitations, and Delimitations . 8 Significance of the Study . 10 Chapter 2: Literature Review . 12 Conceptual Framework . 14 Review of Research Literature and Methodological Literature . 20 Synthesis of the Literature . 38 Critique of the Literature . 40 Methodical Literature.41 Methodological Issues . 41 Summary . 42 Chapter 3: Methodology . 46
Determinants of condom use at last sex by South African construction workers

Due to its fragmented nature, the typically remote location of project sites and considerable reliance upon migrant workers, the construction industry in South Africa is adversely affected by the HIV/AIDS pandemic. The correct and consistent use of condoms is critical to combatting the spread of infection and reinfection. The demographic, behavioural and AIDS-related knowledge determinants of condom use at last sexual encounter were investigated in a survey of 512 site-based construction workers in the Western Cape Province. Half of all survey participants reported not having used a condom at last sexual encounter. Respondents most likely to have not used a condom were predominantly ‘Black’ African, single, in the 27 to 36 and 37 to 49 years old age groups, and those engaging in risky sexual behavior. Gender, education, employment position, alcohol consumption and cannabis (‘dagga’) use were not found to be significantly related to condom use, nor was the extent of workers’ AIDS-related knowledge. Workplace interventions by employers (in response to requests by the South African government for greater private sector involvement), whilst focusing on all employees, should concentrate their efforts on identifying and targeting those demographic sub-populations that are at greatest risk for lack of condom use. Particular attention should be given to construction workers who are migratory (rural to urban work-seekers), working on sites in remote areas, or working in environments where the appeal and likelihood of risky sexual behavior are anticipated to be greatest. Key words: Condom use, construction workers, South Africa.
ISCRAM turns 15: A Trend Analysis of all ISCRAM-Papers 2004-2017

In 2004, Information Systems for Crisis Response and Management (ISCRAM) was a new area of research. Pio-neering researchers from different continents and disciplines found fellowship at the first ISCRAM workshop. Around the same time, the use of social media in crises was first recognized in academia. In 2018, the 15 th IS-CRAM conference will take place, which gives us the possibility to look back on what has already been achieved with regard to IT support in crises using social media. With this article, we examine trends and developments with a specific focus on social media. We analyzed all papers published at previous ISCRAMs ( n =1339). Our analysis shows that various platforms, the use of language and coverage of different types of disasters follow certain trends – most noticeably a dominance of Twitter, English and crises with large impacts such as hurricanes or earthquakes can be seen.
Condition recognition of high-speed train bogie based on multi-view kernel FCM

Monitoring the operating status of a High-Speed Train (HST) at any moment is necessary to ensure its security. Multi-channel vibration signals are collected by sensors installed on bogies and beneficial information are extracted to determine the running condition. Based on multi-view clustering and considering different views of complementary information, this study proposes a Multi-view Kernel Fuzzy C-Means (MvKFCM) model for condition recognition of the HST bogie. First, fast Fourier transform coefficients of HST vibration signals of all channels are extracted. Then, the fuzzy classification coefficient of every channel is calculated after clustering to select the appropriate channels. Finally, the selected channels are used to cluster by MvKFCM and the conditions of HST are determined. Experimental results show that the selection is effective to maintain rich feature information and remove redundancy. Furthermore, the condition recognition rate of MvKFCM is higher than that of single-view and four other multiple-view clustering algorithms.
Application of Machine Learning Techniques to Tweet Polarity Classification with News Topic Analysis

The exponential growth of online community provides the tremendous amount of textual information in terms of human behavioral reaction. Thus, online social media platforms such as Twitters, Facebook and YouTube are reflected as an essential part of human relationship networks. Especially, Twitter is widely applied to the disaster situation as a text and it provides critical insights into emergency management. In this study, we propose a topic analysis and sentiment polarity classification with machine learning techniques for emergency management. In this study, we compared the polarity classification models using three machine learning methods and found that the model with random forests showed the best classification performance.
NEURO-BIOLOGICAL EMOTIONALLY INTELLIGENT MODEL FOR HUMAN INSPIRED EMPATHETIC AGENTS

Social relationship quality rates our social interaction. Evaluation of emotional situation and identification of effective responsive strategy for currently observed situation management is dependent to social interaction and interpersonal relationship quality. According to functional perspective on emotion, to adapt and navigate the social environment ‘affective responses ‘assist individuals. Emotional Intelligence (EI) is a cognitive intelligence. For humanizing social interaction, we propose a neuro-biological emotional intelligence model covering six basic primary emotions for natural human-machine interaction, which captures extrinsic inputs through sensory receptors, and after processing, recalling prior memories, map those inputs to current exposition in order to exhibit an adaptive emotional behavior using Artificial Neuro Fuzzy Inference System Technique.
Learners' Perceptions and Attitudes towards L2 Vodcasting Tasks in an E-Learning Project.

The Vodcasting technology has thrived as an auxilia ry tool to support learners with supplementary materials. The current study aimed at exploring the use of vodcasting technology and the learners’ perceptions and attitudes towards p acticing L2 vodcasting tasks. For this reason, a sample of 120 Iranian EFL learners were s lected and they received twelve weeks of treatment which included working on five different genres of vodcasting tasks. Participants received vodcasting tasks via Telegram application and were asked to do them in specific stages. In order to measure the participants’ attitudes and perceptions, a learner engagement questionnaire was electronically distributed. The r esults revealed that the learners viewed the experience as significantly positive and constructi ve. It is concluded that the vodcasting technology can be executed independently as it can cha ge the studying habits of learners, facilitate the monitoring process and the assessmen t system, maximize cooperation among the learners, and improve the relationship between the learners and the instructor.
Massive MIMO Channel Characterization and Modeling: The Present and the Future

One of the technologies aimed to provide large increase in data rate, enhanced spectral efficiency, transmit power efficiency, high sum rates, and increase link reliability for the fifth generation network (5G) is the massive multiple input multiple output (MIMO) antenna system. The projected benefits of massive MIMO depend on the propagation environment. However, due to the non wide-sense stationarity properties of massive MIMO, small scale characterization (SSC) is not enough for modeling its propagation channel as the spatial domain is also required. Giving consideration to the dynamic adaptation of the elevation angles which is not captured in 2D channel models will open up new possibilities for 3D beamforming which will introduce considerable performance gains for 5G network capacity enhancement. In this paper therefore, we review the various non wide-sense stationary channel parameters for characterizing massive MIMO channel particularly in the 3D plane and their methods of measurement, All through the discussion, we identified outstanding research challenges in these areas and their future directions.
Explaining the impact of new parties in the Western European party systems

ABSTRACT In recent years, and particularly following the impact of the “great recession”, Western European party systems have undergone profound change. New parties have emerged and been successful, thus radically changing the structure of inter-party competition. So far, research on new parties has been mainly conducted from party-level and election-centred perspectives. Here, instead, we focus on party system innovation (PSInn), meaning the impact of new parties on Western European party systems, and on the factors that explain such impact, by adopting a systemic perspective and taking into account all the arenas where inter-party competition takes place (i.e. elections, parliaments and governments). For this purpose, this article relies on an original dataset on the performances of new parties in terms of votes, seats, and ministerial posts, covering about 350 elections and 670 governments in 20 countries, over the period 1945–2017. The results of the analysis show a notable increase in PSInn over the last decade, in particular with regard to the electoral and parliamentary arenas. Moreover, data show that PSInn in the electoral and the parliamentary arenas is mainly predicted by turnout change, while in the governmental arena is instead driven by the country’s economic performance.
The effect of a mentoring program on Indigenous apprenticeship completion in Queensland

This paper provides an analysis of completions and cancellations from apprenticeship training contracts in Queensland, focusing on the differences between Indigenous apprentices with and without a mentor. Interest lies in this topic because of the observed high cancellation rate among apprentices, and the generally higher rate for Indigenous apprentices. The study uses administrative data collected and maintained by the Queensland Department of Education, Training and Employment. A multistate modelling approach is adopted to account for the fact that many apprentices experience multiple episodes of training. Overall, the results indicate that apprentices with a mentor face a significantly lower risk of cancellation.
The process of how mothers with down’s syndrome children learn about the diagnosis: A qualitative research

Şaziye Senem Başgül1, Duygu Mutlu2, Yasemin Alanay3, Merih Toker4 1Child and Adolescent Psychiatrist, Hasan Kalyoncu University, Gaziantep, 2Clinical Psycholog, Hasan Kalyoncu University, Gaziantep, 3Child Genetics, Acibadem University, İstanbul, 4Clinical Psycholog, Hasan Kalyoncu University, Gaziantep, Turkey Informing about down syndrome diagnose to mothers The process of how mothers with down’s syndrome children learn about the diagnosis: A qualitative research
When Do Friendships Help Versus Hurt? Perceived Best Friend Victimization and Support as Moderators of Peer Victimization-Related Distress

Although high-quality friendships are presumed to protect peer-victimized adolescents from distress, evidence supporting this claim is mixed. This study investigated whether the protective function of high-quality best friendships for victimized youth varies depending on adolescents’ perceptions of their best friend’s victimization. Among a sample of 1,667 eighth graders, we tested the effects of self-perceived victimization, best friend emotional support, and best friend victimization on depressive symptoms and social anxiety across eighth grade. Perceptions of higher emotional support buffered links between boys’ victimization and depressive symptoms. Perceived emotional support buffered links between girls’ victimization and internalizing symptoms if they viewed their best friend as nonvictimized, but it amplified such associations if they viewed their friend as victimized. These results suggest that although perceptions of best friend emotional support benefit peer-victimized youth, highly intimate friendships between victimized adolescent girls may promote maladaptive coping and increased distress.
Translators' requirements for translation technologies: user study on translation tools

This dissertation investigates the needs of professional translators regarding translation technologies with the aim of suggesting ways to improve these technologies from the users’ point of view. It mostly covers the topics of computer-assisted translation (CAT) tools, machine translation and terminology management. In particular, the work presented here examines three main questions: 1) what kind of tools do translators need to increase their productivity and income, 2) do existing translation tools satisfy translators’ needs, 3) how can translation tools be improved to cater to these needs. The dissertation is composed of nine previously published articles, which are included in the Appendix, while the methodology used and the results obtained in these studies are summarised in the main body of the dissertation. The task of identifying user needs was approached from three different perspectives: 1) eliciting translators’ needs by means of a user survey, 2) evaluation of existing CAT systems, and 3) analysis of the process of post-editing of ma- chine translation. The data from the user survey was analysed using quantitative and qualitative data analysis techniques. The post-editing process was studied through quantitative measures of time and technical effort, as well as through the qualitative study of the actual edits. The survey results demonstrated that the two crucial characteristics of CAT software were usability and functionality. It also helped to distinguish the features translators find most useful in their software, such as support for many different document formats, concordance search, autopropagation and autosuggest functions. Based on these preferences, an evaluation scheme for CAT software was developed. Various ways of improving CAT software usability and functionality were proposed, including making better use of textual corpora techniques and providing different versions of software with respect to the required level of functionality. Another major concern of the survey respondents was the quality of machine translation and its usefulness for creating draft translations for post- editing. In this direction, a part of this dissertation is dedicated to evaluation of machine translation, and investigation of the post-editing process. The findings of these studies showed which machine translation errors are easier to post-edit, which can be of practical use for improving the post-editing workflow.
Perceived Hunger in College Students Related to Academic and Athletic Performance

The current study examines perceived hunger, which may result from food insecurity, and its effect on academic and athletic performance in students on a liberal arts college campus in New Hampshire. It also examines how students compensate for hunger and their preferences for different types of resources to address hunger. A review of the literature on food insecurity in college students informed the development of a questionnaire on hunger. A mixed-method approach was used to collect qualitative/quantitative data from students of different disciplines. Three hundred and seventy-one students had complete surveys. Thirty-six percent and 34% of students reported that their academic and/or athletic performance, respectively, had been affected by hunger. Forty-seven percent of students responded they would consider taking advantage of an on-campus food pantry. In an open-ended question, students reported concerns about the social stigma related to economic instability and utilizing a food pantry. Our research findings support many on-campus initiatives including the creation of a student-run on-campus food pantry, longer dining common hours, a Swipe It Forward program, and the creation of a task force to address food insecurity on campus and to work with college systems to develop opportunities to better serve students at the college.
Shattered shame states and their repair

The primate relational systems for attachment, care-giving, mating, social ranking, inclusion, exclusion, and co-operation form a platform upon which complex human social life is built. Under ordinary conditions of peace, I would suggest that shame is one of the primary regulators of social relations. Fear is the primary regulator only in circumstances where social structures for maintaining peace have broken down and social relations are ruled by violence. As the attachment system was initially conceptualized by Bowlby (1973), fear was considered the primary regulator. Bowlby described anxiety and anger as the infant’s emotional responses to separation, and crying, following, and clinging as behavioural responses. As a good Darwinian, he saw the adaptive function of the attachment system in maintaining the infant’s proximity to the care-taker, thus affording protection. This basic attachment system is common to human beings and other primates. On the platform of this attachment bond are built the child’s first internal working models of human intimacy. In primary attachment 111 2 3 4 5 6 711 8 9 10 1 2 3 4 5 6 7 8 9 211 1 2 3 4 5 6 7 8 9 30 1 2 3 4 5 6 7 8 911