Miracle-dz/UniFAR-FTUs huggingface dataset:
The psychometric properties of an information-ethics questionnaire

Purpose The purpose of this paper is to provide an overview of the development and validation of a self-report structured questionnaire based on the theory of planned behaviour (TPB). The questionnaire was used to investigate university undergraduate students’ cognition, behavioural intent, and behaviour concerning the ethical use of information and communication technologies (ICTs). Design/methodology/approach A quantitative correlational cross-sectional approach to data collection was used by administering a self-report questionnaire to a sample of 327 undergraduate students. To establish the construct validity of the questionnaire, internal consistency reliability and factorial analyses were performed. Findings Significant but different correlations between the constructs were under study. The behavioural intention had the greatest and most significant correlation with behaviour pertaining to information ethics. Overall, the scales, which constitute the instrument, showed acceptable indices of measurement validity. Practical implications The research implications of this paper shed light on the applicability of the TPB to the specific context in which this study was conducted. The results imply that the TPB framework can be extended and employed to understand better the influence of comprehending information-ethics concepts on the intentions and practices related to the ethical use of ICTs. Originality/value The paper has methodological value for researchers who seek to develop empirical instruments for measuring the factors that bear upon the attitudes and the behaviours related to information ethics. Furthermore, the paper has pedagogical value for students, teachers, and developers of information-ethics educational programmes at the tertiary level.
Trust in humanoid robots: implications for services marketing

PurposeService robots can offer benefits to consumers (e.g. convenience, flexibility, availability, efficiency) and service providers (e.g. cost savings), but a lack of trust hinders consumer adoption. To enhance trust, firms add human-like features to robots; yet, anthropomorphism theory is ambiguous about their appropriate implementation. This study therefore aims to investigate what is more effective for fostering trust: appearance features that are more human-like or social functioning features that are more human-like.Design/methodology/approachIn an experimental field study, a humanoid service robot displayed gaze cues in the form of changing eye colour in one condition and static eye colour in the other. Thus, the robot was more human-like in its social functioning in one condition (displaying gaze cues, but not in the way that humans do) and more human-like in its appearance in the other (static eye colour, but no gaze cues). Self-reported data from 114 participants revealing their perceptions of trust, anthropomorphism, interaction comfort, enjoyment and intention to use were analysed using partial least squares path modelling.FindingsInteraction comfort moderates the effect of gaze cues on anthropomorphism, insofar as gaze cues increase anthropomorphism when comfort is low and decrease it when comfort is high. Anthropomorphism drives trust, intention to use and enjoyment.Research limitations/implicationsTo extend human–robot interaction literature, the findings provide novel theoretical understanding of anthropomorphism directed towards humanoid robots.Practical implicationsBy investigating which features influence trust, this study gives managers insights into reasons for selecting or optimizing humanoid robots for service interactions.Originality/valueThis study examines the difference between appearance and social functioning features as drivers of anthropomorphism and trust, which can benefit research on self-service technology adoption.
Perceived Sustainability Practices, Turnover Intentions, and Organizational Identification in Hotel Industries

Research Question: The present study intends to study the effect of employees’ perception of their hotel’s sustainability practices and motive to undertake those practices on their identification with the organization and their intentions to quit. Motivation: Over the past few years, the hotel industry has heeded to the need of sustainability, but its effect on human resource outcomes needs attention. Earlier research reports that adopting sustainable practices enhances the reputation of the organisations, and positively impacts the employees’ organisational identification and intention to stay in the organisation. The bearings of such practices are seen in the expected cash flows and growth of the industry. Idea: The core idea behind this research was to investigate the effect of perceived sustainability activities and motive attribution on human resource outcomes. In the study, perceived sustainability activities and motive attribution were the independent variables whose effect was seen in the human resource outcomes, namely, organizational identification and intentions to quit. Data: The sample comprises 137 managers from star hotels of Vadodara and Ahmedabad. The data were collected over a period of 4 months. Tools: The survey questionnaire adopted already established scales on environmental sustainability, turnover intentions, organisational identification and motive attribution. The researchers added a few questions on social and economic sustainability to capture the whole concept of sustainable development. Findings: The findings of the study indicate employee welfare is a significant predictor of organizational identification and turnover intentions in hotel industries. Moreover, intrinsic, as well as extrinsic motive attribution are necessary to encourage employees to take ownership and retain it. Contribution: The study implies that hoteliers must channelize their resources to enhance employee welfare. Utmost care and support will be reciprocated in terms of higher organisational identification and lower turnover rates. Efforts must also be made to educate all the employees as regards the reasons for undertaking policies and actions. This will help them understand the organisational values and encourage them to align their values with the organisation. The way employees allocate reasons for conducting sustainability has implications for the judgement and actions of both managers and employees. It also plays a role in motivating them to involve themselves in sustainable activities. This research also suggests research areas for future studies. The researchers foresee the results of this research will be intriguing for policy makers and future researchers as knowledge of how employees inculcate sustainability in their actions proves the policy success rate.
Morpheme-based Language Models for Improving the Speech Recognition of Arabic Dialects

In this paper, innovative experiments were done to improve the Language Models (LMs) for three parallel dialects. In each dialect, two different LMs were produced: a closed domain LM and an open domain LM. The methodology of the second part of the multi dialect morphology analyser, involved retrieval of web frequencies for different parts of a word; this methodology was modified and then used to extract the three suggested forms of the word; stem alone, prefix+stem and stem+suffix. Six results were then extracted per dialect, giving a total of eighteen results. All the experiments yielded positive results, between 0.5% to 6.8% in WERs.
DESIGN A FSS USING JERUSALEM CROSS STRUCTURE AS A BSF FOR SATELLITE APPLICATIONS AT 10GHz

In this paper we present how to design FSS as a Band Pass Filter (BPF) or Band Stop Filter (BSF). Filter is used to pass the desired frequency and block the undesired frequency. “FSS stand for Frequency selective surface have a property that it reflects plane wave in-phase” and suppress the surface waves. FSS can be used as a filter, reflector, polarizer, absorber, etc. Here we designed FSS which is acts as a Band Stop filter, which operate at 10GHz resonant frequency. This type of filter can be used for satellite applications, radar and biomedical. For the analysis of band stop filter transmission and reflection coefficient can be obtained with the help of Ansoft Designer tool. This type of filter design can improves the certain parameters like VSWR, gain, efficiency, return loss in antenna.
The quest for educational inclusion in Nepal : a study of factors limiting the schooling of Dalit children

7 Declaration of Original Contribution . 8 Copyright Statement . 9 Acknowledgements . 10 Introduction . 12 Background to the Research . 13 Defining ‘Dalit’ . 14 Rationale of the Study . 14 Research Problem . 16 Outline of the Thesis . 17 Chapter One: International Developments to Promote Education for All . 19 1.1 International Developments . 19 1.1.1 Education for All . 19 1.1.2 Making Education for All Inclusive . 21 1.1.3 Addressing Equity. 24 1.1. 4 Summary . 26 1.2 Barriers . 26 1.2.1 Problems Emerging in Different Countries . 26 1.2.2 The Case of a Developing Country: South Africa . 33 1.2.3 The Case of a Developed Country: New Zealand . 39 1.2.4 Some Reflections . 44 1.3 Summary of the Chapter . 45 Chapter Two: The Context of Nepal . 47 2.1 General Background of the Country. 47 2.2 The Caste System . 48 2.3 History of Dalits’ Educational Development . 53 2.3. 1 Before 1951 – the pre-democratic era . 53 2.3. 2 Between 1951-1990 – the demo-panchayat era . 54 2.3. 3 Between 1990-2015 – the re-instalment of democracy and transition from monarchy to the republican era . 55 2.4 Towards a More Inclusive National Political Environment . 58 2.5 The Performance of Nepal’s Education System . 60 2.6 National Understanding of Inclusive Education. 64 2.7 Conclusion . 65
Factors to consider when enhancing the use of web 2.0 technologies in higher education: students’ and lectures’ views for quality use

Learning quality enhancement with Web 2.0 tools needs good implementation framework and lessons from best practice. However, there is not much research on what constitutes best practice in the implementation of Web 2.0 in learning activities. This research seeks to contribute to research in this area by seeking the views of students on increased adoption of Web 2.0 social tools in learning activities. The research reports on the observational study carried out in one university in Scotland and a quantitative study carried out in the first stage of the research. The research reveals that an increase in the use of Web 2.0 tools in higher education is positively related to perceived usefulness, perceived ease of use, prior knowledge, motivation to use, social factors and performance expectancy. The findings in this research show students and lecturers’ views on how increased use of Web 2.0 technology tools for learning in higher education can be achieved.
An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO) algorithm and are fixed. The second one is a reinforcement learning (RL) based supplementary controller that has a flexible structure and improves the output of the first stage adaptively based on the system dynamical behavior. Due to the use of RL paradigm integrated with PID controller in this strategy, it is called RL-PID controller. The primary motivation for the integration of RL technique with PID controller is to make the existing local controllers in the industry compatible to reduce the control efforts and system costs. This novel control strategy combines the advantages of the PID controller with adaptive behavior of MA to achieve the desired level of robust performance under different kind of uncertainties caused by stochastically power generation of DERs, plant operational condition changes, and physical nonlinearities of the system. The suggested decentralized controller is composed of the autonomous intelligent agents, who learn the optimal control policy from interaction with the system. These agents update their knowledge about the system dynamics continuously to achieve a good frequency oscillation damping under various severe disturbances without any knowledge of them. It leads to an adaptive control structure to solve LFC problem in the multi-source power system with stochastic DERs. The results of RL-PID controller in comparison to the traditional PID and fuzzy-PID controllers is verified in a multi-area power system integrated with DERs through some performance indices.
Role of Information Technology in Healthcare Services: Visitor's Perception

The ageing population, increasing pollution, and lethargic life style of human beings are some of the primary reasons for the growth of healthcare sector. Indian entrepreneurs have observed this growth opportunities and providing healthcare services in multiple ways. However, the literature emphasizes that without integrating information technology in existing healthcare facilities, quality service cannot be rendered to a large number of patients. With this backdrop, the present study is a novel endeavour to explore the role of information technology in Indian healthcare services. It aims to explain the relevance and dimensions of information technology in relation to healthcare services and examines the empirical relationship between identified dimensions and some demographical factors (age, educational qualification, income, and gender). The results of this study can be beneficial to healthcare professionals, service enablers, implementing agencies, and policy makers. Limitations, further research directions and conclusions have been discussed.
Fintech and Its Potential Impact on Islamic Banking and Finance Industry: A Case Study of Brunei Darussalam and Malaysia

Fintech is growing at an exponential rate which leads to the emergence of innovative business models. Advanced technologies like Blockchain, internet of things (IoT’s), artificial intelligence (AI), and robotics have become mature enough to create disruption in banking and finance industry both conventional and Islamic finance industry. Brunei Darussalam and Malaysia, both, offer wide range of Shari'a compliant services. The main purpose of this study is to investigate the potential impact of Fintech on the Islamic banking and finance industry in Brunei and Malaysia. Accordingly, this research deals with the qualitative method to accomplish and fulfill the research objectives. Content analysis and Semi-structured interview approach were employed throughout the research. The results clearly show that Fintech has great potential impact on both conventional and Islamic finance industry. This potential impact is in both ways i.e. positive and negative. And, the response and reaction of Islamic finance industry towards the emergence of Fintech and its potential impact seems very slow as compared to their conventional counterparts. This study has indicated important points which include the necessity for the Islamic financial institution to cope with the growth of Fintech.
Analysis of Display Latency for 3D Perceptual Experiments

Abstract : The purpose of this investigation was to test if timing variability in a 3D stereo display was correlated with the displayed degree of stereo depth cue. A series of recordings of display timing were made under various levels of experimental manipulation to test for correlation between dimensions. Small correlations were identified in the device, as well as systematic delays in recorded timing over scheduled timing. No meaningful correlation was found between display timing and human response times. We conclude that any perception of a correlation is due to the human perceptual system and should not prevent further use of the tested 3D display system for further empirical research in 711 HPW/RHCV.
Patterns of practice: An exploratory factor analysis of child and family social worker skills

There is relatively little research on the communication skills that social workers use in direct practice with families. This study explores patterns of practice skill found in child and family social work home visits. The study analysed 127 practice interactions in family homes, coding for seven dimensions of worker skill using a coding framework drawn from motivational interviewing. Exploratory factor analysis was employed to establish patterns of skill within the data and to group key dimensions of skill. The findings make two contributions. First, three fundamental dimensions of good practice emerged, which we characterize as care and engagement, good authority, and support for behaviour change. Second, in exploring the relationship between “care” and “control” elements of social work, skilled social workers were able to combine good authority and empathic engagement, whereas those who were less skilled in use of authority were also less good at engagement. This contributes to debates about care and control in social work. The usefulness of these dimensions for conceptualizing practice in child and family social work is discussed and directions for further research are suggested.
Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties.

Machine learning models have found numerous successful applications in computational drug discovery. A large body of these models represents molecules as sequences since molecular sequences are easily available, simple, and informative. The sequence-based models often segment molecular sequences into pieces called chemical words ,analogous to the words that make up sentences in human languages, and then apply advanced natural language processing techniques for tasks such as de novo drug design, property prediction, and binding affinity prediction. However, the chemical characteristics and significance of these building blocks, chemical words, remain unexplored. To address this gap, we employ data-driven SMILES tokenization techniques such as Byte Pair Encoding, WordPiece, and Unigram to identify chemical words and compare the resulting vocabularies. To understand the chemical significance of these words, we build a language-inspired pipeline that treats high affinity ligands of protein targets as documents and selects key chemical words making up those ligands based on tf-idf weighting. The experiments on multiple protein-ligand affinity datasets show that despite differences in words, lengths, and validity among the vocabularies generated by different subword tokenization algorithms, the identified key chemical words exhibit similarity. Further, we conduct case studies on a number of target to analyze the impact of key chemical words on binding. We find that these key chemical words are specific to protein targets and correspond to known pharmacophores and functional groups. Our approach elucidates chemical properties of the words identified by machine learning models and can be used in drug discovery studies to determine significant chemical moieties.
Spatial Transformation as an Institutional Factor of the Public Management of Macroeconomic Systems

: Purpose: The article analyzes the issue of substantiating the impact of the spatial organization of the territory of the Russian Federation on the public management at the level of macroeconomic systems. Design/Methodology/Approach: The federal districts were chosen as the object of the study as macro-regional socio-economic systems, the Southern Federal District and its constituent regions (subjects of the Russian Federation). The article investigates the main transformational processes taking place in the RF spatial development, concerning the development of the regional systems of the public management and the necessity of their consistency at the supra-regional (macro-regional) level. Findings: The authors propose a set of measures to form supra-regional system to coordinate the regional development priorities considering the peculiarities of the spatial transformation of Russia’s territory and the position of the Southern macro-region in the spatial system of the country. This system formation allows involving as many interested parties as possible. Practical Implications: The results may be implemented into macro-region public administration to maximize the advantages of the geo-economic and strategic position, natural and climatic conditions of Russian regions’ development. Originality/Value: The main contribution of this study is a tailored approach to the public administration of the social and economic development of the macro-regions in the context of the spatial transformation
Corporate incubators as knowledge brokers between business units and ventures

Purpose Through digitization and globalization, corporate incubators have gained new relevance as tool to foster innovation within established companies. Although many studies address business incubators in general, the specifics of corporate incubators are often neglected in the literature. The paper aims to discuss this issue. Design/methodology/approach The author systematically reviewed academic articles regarding corporate incubation, published in peer-reviewed journals. In the course of a subsequent analysis, open questions for further research were identified and addressed. Findings Corporate incubators differ significantly from business incubators. Based on an analysis of 45 academic papers, the main features of corporate incubators have been identified and addressed. Originality/value The present work suggests that it is one of the first that systematically analyze the literature on corporate incubation. Based on the literature review, a holistic framework was constructed that highlights the different elements of corporate incubation and also considers the incubator as knowledge broker between business units and ventures.
Contribution to the modeling and automatic control of the virgin olive oil elaboration process

espanolEl proceso de elaboracion de aceite de oliva virgen es un proceso industrial relativamente complejo, con distintas variables implicadas y objetivos dicotomicos. En esta tesis se propone el uso de modelado borroso para la construccion de un modelo del proceso. Posteriormente, y basandose en este modelo, se plantean problemas de optimizacion para construir un sistema de ayuda a la decision para asistir al operador de la almazara en la decision de que objetivo de elaboracion establecer, que valores de referencia asignar a las variables de proceso para alcanzar dicho objetivo, y como se deben modificar estos valores de referencia en el caso de que no se alcanzara exactamente el objetivo fijado. EnglishThe virgin olive oil elaboration process is a somewhat complex industrial process, with several variables involved and dichotomic production objectives. In this thesis, fuzzy modeling based on expert knowledge is used to construct a model of the process. Then, an optimization approach based on this model is used to construct a decision support system to assist the operator of the plant in the decisions of what production objective choose, which set points of the process variables enable reaching that objective, and how should those set points be modified if the production objective is not met.