bluuebunny/crossref_metadata_2025 huggingface dataset:
Does emotional intelligence really ensure a happy life? The mediation role of emotional competencies
Authors: Martowska Katarzyna
Published: October 2021

The study was focused on relations between the abilities to recognize facial emotions, emotion understanding abilities, emotional competencies and well-being. It was expected that the relation between emotional intelligence and well-being is mediated by emotional competencies. Statistical software IBM SPSS AMOS 21 was used to test mediation models involving emotional abilities as the independent variable, emotional competencies as the mediator variable, and well-being as the dependent variable. The participants were 144 students aged between 18 and 32 (M = 20.59; SD = 1.82). Two tests were used to measure emotional intelligence: Emotional Intelligence Scale – Faces (EIS-F, in Polish: Skala inteligencji emocjonalnej – twarze, SIE-T) by Anna Matczak, Joanna Piekarska and Elżbieta Studniarek, and Emotion Understanding Test (EUT, in Polish: Test rozumienia emocji, TRE) by Anna Matczak and Joanna Piekarska. Emotional competencies were estimated with a self-descriptive questionnaire PQEI (in Polish: PKIE) by Anna Matczak et al. Well-being was measured with the use of a Depression Symptom Questionnaire (DSQ, in Polish: Kwestionariusz symptomów depresyjnych, KSD) by Anna Matczak and Katarzyna Martowska. It was found that emotional competencies are the mediator of the relation between emotional intelligence and well-being. The study also shows that having high emotional potential (emotional abilities) itself does not guarantee well-being. It is acquired emotional competencies, meaning the skills of coping in different emotional situations, that may significantly contribute to improving the person's physical and mental state. At the same time, emotional intelligence is a prerequisite for the development of such competencies, although more than that is necessary. The results of the study confirm the difference between emotional abilities and emotional competencies constructs and point out the importance of emotional competencies for the person's well-being.
Health problems of postmenopausal women
Authors: Pałucka Klaudia , Bałanda-Bałdyga Agnieszka , Pilewska-Kozak Anna B.
Published: October 2021

Abstract: The postmenopausal period is the final stage of the transition from the procreative period to the senium period. It is also a time of many complex biological transformations. The changes that occur, associated with the gradual expiration of the endocrine function of the ovaries, can affect the appearance of many psychophysical ailments. Low estrogen values, which are physiologically observed in the postmenopausal period, result in the appearance of various health problems. Clinical signs are divided into early (short-term) and late (long-term). This work discusses the definition and course of postmenopause and the health problems and consequences of sex hormone deficiencies on a woman's body systems. Being aware of the changes taking place during this period of women's lives can help improve and/or create new prophylactic programs. This knowledge seems essential in the daily practice of health professionals, in particular gynaecologists and midwives.

Key words: menopause, postmenopause, climacteric syndrome
“Through Roger Matthews' eyes"
Authors: Machado Bruno Amaral , Cordeiro Carolina Souza
Published: October 2021

Roger Matthews was a British criminologist renowned as a left realist. He was a Professor of Criminology at the University of Kent and worked with figures such as Cohen and Young. He was part of the National Deviancy Conference and was there when Taylor, Walton and Young publish “The New Criminology”. Matthews was also one of the founders of the European Group for the Study of Deviance and Social Control. In this interview, Matthews presented a brief context of British sociocriminological academia in the 1970’s and on. He showed us the academic network between North American and British academics and the rivalry among them. After all that, Matthews still talked about his impressions on European and Latin American Criminology.
State and vulnerability
Authors: Leao Anabela Costa
Published: October 2021

Vulnerable subjects (individuals and groups), from asylum seekers to members of cultural and social minorities, the disabled, the elderly and women, have common but also specific needs for recognition and protection. This paper aims to discuss the constitutional State's attitude towards the vulnerability of individuals and groups in the context of a theory of justice that supports a State committed to human and fundamental rights and to human dignity, on the one hand, and “responsive” to vulnerability, on the other. This requires a complex understanding of equality, encompassing both equal and different protection norms, policies, and practices. However, in addition to the discussion on the possibilities of protection, the limits to this protection must also be addressed, namely those resulting from the protection of autonomy and human dignity.
Formulasi Spray Gel Ekstrak Etil Asetat Bunga Melati (Jasminum sambac (L.) Ait.) Sebagai Antijerawat
Authors: Hayati Rima , Sari Amelia , Chairunnisa Chairunnisa
Published: October 2021

Bunga melati (Jasminum sambac (L.) Ait.) mengandung linalool, geraniol, eugeniol, eugenol yang dikenal dengan zat penolak serangga. Pada penelitian ini peneliti ingin memformulasikan ekstrak bunga melati menjadi sediaan spray gel yang berfungsi sebagai antijerawat. Dalam penelitian ini dibuat 3 kali pengulangan sediaan spray gel dengan konsentrasi ekstrak etil asetat bunga melati 10%. Eksipien yang digunakan dalam formulasi ini adalah karbopol, gliserin, NaOH, dinatrium EDTA dan NaCl. Spray gel ekstrak bunga melati yang dihasilkan berwarna kuning kecoklatan, berbentuk cair dan berbau khas bunga melati. Selain itu sediaan ini juga menunjukkan uji daya sebar 6 cm (P1), 5,5 cm (P2), 5,75 cm (P3). Uji kondisi semprotan ketiga batch baik, sifat ketahanan melekat. Waktu kering 3,01 menit (P1), 2,50 menit (P2), 2,46 menit (P3) dan memiliki pH 4,59 (P1), 4,58 (P2), 4,48 (P3). Ketiga pengulangan formula memenuhi persyaratan uji viskositas dan tidak mengiritasi.Kata Kunci : Spray gel, Bunga Melati, KarbopolJasmine (Jasminum sambac (L.) Ait.) contains linalool, geraniol, eugeniol, eugenol which are known as insect repellents. In this study, researchers wanted to formulate jasmine flower extract into spray gel preparations that function as anti-acne. In this study, 3 repetitions of spray gel preparations were made with 10% jasmine flower ethyl acetate extract concentration. The excipients used in this formulation were carbopol, glycerin, NaOH, disodium EDTA and NaCl. The resulting jasmine flower extract spray gel is brownish yellow, liquid and has the characteristic smell of jasmine. In addition, this preparation also showed a spread test of 6 cm (P1), 5.5 cm (P2), 5.75 cm (P3). Test the spray conditions of the three batches is good, inherent resistance properties. Dry time was 3,01 minutes (P1), 2,50 minutes (P2), 2,46 minutes (P3) and had a pH of 4,59 (P1), 4,58 (P2), 4,48 (P3). Three repetitions formulas meet the viscosity test requirements and do not irritate.Keywords: Spray gel, Jasmine, Karbopol
MOBILE APPLICATIONS DEVELOPED BY ARAB COUNTRIES IN RESPONSE TO COVID-19: A REVIEW
Authors: Alfayez Zainab Hameed , Al-Sinayyid Nabaa Mohammed , AL-Ameri Sadeq Ibrahim
Published: October 2021

Arab countries have taken different strategies in response to the COVID-19 pandemic such as: imposing travel restrictions, hygienic practices, quarantine, and a complete lock-down. They also have adopted technology-based strategies to deal with the pandemic. Mobile applications were one of these strategies since they offer an opportunity for remote communication in which potentially tackling the pandemic. Therefore, like other countries, Arab countries have developed a number of mobile apps specially to stop or mitigate the spread of the new disease. This paper aims to provide a comprehensive overview of mobile applications being developed in response to the COVID-19 pandemic and especially to serve the Arab region. To achieve this goal, firstly, the related applications were chosen through searching in the two main mobile app stores (Google Play and App Store), Secondly, the number of applications developed by each country was identified, thirdly, exploring the apps in terms of the services being provided by each app. The significant findings of this review are: UAE was the Arab country that developed the biggest number of COVID-19 related mobile apps, and “remote assistant” was the service that was found in most of the identified applications. However, these applications did not consider the privacy issue and lacked solutions for healthcare staff.
ACUTE ENCEPHALITIS SYNDROME IN CHILDREN: A DESCRIPTIVE CROSSSECTIONAL STUDY IN A RURAL BASED TERTIARY CARE HOSPITAL IN INDIA
Authors: Kabiraj Bapan , Gayen Soumya , Rushad Ebna , Mandal Subinay
Published: October 2021

Background: Acute Encephalitis Syndrome (AES) is a group of clinically similar neurologic manifestations due to encephalitis. AES is an important cause of mortality and morbidity in children in various parts of India. Most of the study has been done in adult population. So, I have done this study to evaluate clinical prole, short-term outcome and changing trends of etiologies of acute encephalitis in children. Methods: This is an institution-based descriptive cross-sectional study including sixty children aged one month to twelve years conducted over a period of one and half years in the pediatric department of a rural based medical college in India. Data collected in predesigned case record proforma and analysed with SPSS software version 25. Results: Incidence rate 4 per 1000 patients per year with 2 to 6 years age group with males predominating. Important presenting complaints were fever, convulsion, abnormal behavior, rash, vomiting, headache, lethargy, aphasia and quadriparesis. Poor Glasgow coma score (GCS), meningeal sign and raised intra cranial pressure were important examination ndings. Dengue and scrub typhus were important emerging etiologies replacing Japanese encephalitis. Overall mortality is around 13%. Conclusions:All febrile children with altered sensorium should be investigated for central nervous system (CNS) infection, unless clear evidence of another diagnosis. Viruses are the main culprit with Dengue and Scrub typhus being the important emerging etiology. Timely diagnosis and treatment can reduce morbidity and mortality signicantly.
A Brief History of the Muon
Authors: Glashow Sheldon Lee
Published: October 2021

The theoretical and measured values of the muon magnetic moment anomaly have grown apart. Is this due to experimental error, or computational error, or to physics lying beyond the Standard Model?
Authentic Reflection for Experiential Learning at İnternational Schools
Authors: Perry Stirling L. , Martin Robin A.
Published: October 2021

When students are required to reflect on their experiential learning, they face many challenges. Moreover, if teachers and advisors do not implement reflection effectively, students are less likely to internalize the lessons they learn from their experiences. Based on a multi-case study applying grounded theory, this research examined how reflection on experiential learning was implemented at six International Baccalaureate schools in Turkey. Several patterns emerged across schools from which the authors developed a theoretical framework for conceptualizing the reflection process for experiential learning with respect to (1) timing and frequency of reflections, (2) formats and contexts for reflection, and (3) feedback about reflection. The authors make a number of recommendations for improving the reflection process in the aforementioned areas and offer suggestions for future research.
Effect of Service-Learning on the Multicultural Competence of Teacher Candidates: From a Doing With Community Framework
Authors: Han Insoon , Hazareesingh Nedra A. , Cao Peihong
Published: October 2021

This article details the findings of a study investigating the effect of service-learning with a Doing With Community framework on teacher candidates’ multicultural attitudes and competence. Fifty-one teacher candidates participated in the research: 27 in an experimental condition and 24 in a comparison classroom. In order to transform the conventional service-learning experience into one incorporating the Doing With framework, a Dialogue with Diverse Families component was included in the experimental condition. A mixed-methods design was employed; specifically, a quasi-experimental design was utilized to obtain quantitative data from measures on multicultural attitudes and competence, and a phenomenological method was used to collect qualitative data from the students’ reflections on project experiences. The service-learning project with the Dialogue With Diverse Families component had a significant effect on teacher candidates’ multicultural competence but not on their multicultural attitudes. This article argues that the Doing With framework of service-learning contributes to teacher candidates’ multicultural competence and civic responsibility.
International Service-Learning and Community Engagement
Authors: Ó Donnchadha Brian , Ma Carol
Published: October 2021

In this International Service-Learning and Community Engagement section of the journal, four articles highlight scholarly engaged work in Mexico, Pakistan, Australia and Chile. The contents of the articles are very diverse, reflective and rigorous, and have implications for service-learning as it is practiced across the globe.
Review and Update of the Risk Factors and Prevention of Antiresorptive-Related Osteonecrosis of the Jaw
Authors: Kim Ha Young
Published: October 2021

Antiresorptive-related osteonecrosis of the jaw (ARONJ) is a rare but serious adverse event of bisphosphonate or denosumab administration; it is associated with severe pain and a deteriorated quality of life. Since its first report in 2003, there have been many studies on its definition, epidemiology, pathophysiology, diagnosis, and treatment. Nevertheless, the epidemiology and mechanisms underlying this condition have not yet been fully delineated and several risk factors are known. Moreover, as there is no effective treatment currently available for osteonecrosis of the jaw, prevention is essential. Furthermore, close cooperation between prescribing physicians and dentists is important. The aim of this review was to provide up-to-date information regarding the risk factors and prevention of ARONJ from a physician’s perspective.
Review of the 151th meeting of the Dispute club “Economic Policy Knots” of the Association of the Russian Economic Think Tanks on the Topic “What is the Twenty-first year preparing for us?”
Authors: Zubova E. A. , Izmailov A. A. , Tutov L. A.
Published: October 2021

The work is devoted to a review of the results of the 151st meeting of the Dispute Club “Economic Policy Knots” of the Association of Russian Economic Think Tanks (hereinafter referred to as ARETT) on the topic "What is the twenty-first year preparing for us?" The purpose of the event was to discuss issues of economic and market development in 2021. The debaters were Alexei Leonidovich Vedev, head of the financial research laboratory of the Institute for Economic Policy named after E.T. Gaidai, and Natalia Vladimirovna Orlova, head of the “AO ALFA-BANK” macroeconomic analysis center. The review presents the key ideas of the disputants, and also summarizes the main results of their answers to questions.
Using Concentration Offset to Analyze the Dependence of Galaxy Quenching on Morphology
Authors: Patrick A. L. , Lintott C. , Smethurst R. J.
Published: October 2021

Quenching is the process by which a galaxy's star formation ceases and it moves from being a blue star-forming to a red quiescent galaxy. Concentration has been shown to be a good indicator of this process; this paper uses ΔΣ1 (a concentration offset derived below) to observe how quenching differs between galaxy morphologies. We use Sloan Digital Sky Survey data to plot ΔSFR against ΔΣ1, with morphological classifications from Galaxy Zoo 2 and environmental classifications from Yang et al. We find a difference in the distributions of concentration offset between early- and late-types that is not observed with differing environmental conditions and so conclude that separating the two allows more insight into their individual quenching processes. Late-types are shown to follow a process of compaction before then quenching and this is consistent with a picture where they quench slower than the early-types.
Professionalism among Family Medicine Residents in Al Madinah Region, Saudi Arabia
Authors: Almaghaslah Sokinh , Almaghaslah Dalia
Published: October 2021

Abstract
This was an observational,
descriptive, and cross-sectional study conducted
among the medical students at UB.
Background: Professionalism is the core to sustaining trust between a healthcare provider and the community. Family medicine has an important role in health promotion, prevention and is the first line care which provides service to all age groups; this cross-sectional study was conducted to assess knowledge and attitude among family medicine residents in Al Madinah region.
Methods: A structured self-administered web-based questionnaire was adapted from CanMEDs use to assess professionalism. The questionnaire contained five domains: demographics, commitment to patients, commitment to society, commitment to the profession, and commitment to self. 119 out of 161 residents at family medicine training centres in Al Madinah responded by completing the questionnaire, giving 74% response rate. There was 49% male and 51% female participants; most (47%) graduated from Taibah University, followed by 18% from Umm Al-Qura University.
Results: findings of commitment towards patients indicated that 75% of participants often or always exhibited appropriate professional behaviour and relationships in all aspects of practice. More than 80% of participants often or always demonstrated a commitment to excellence in all aspects of practice. More than half (58%) of participants often or always recognised and managed conflicts of interest. Findings of commitment toward society showed that more than half (59%) of participants often or always demonstrated accountability to patients, society and the profession by responding to societal expectations of physicians always or often. Findings of commitment revealed that 68% of participants often or always fulfilled and adhered to the professional and ethical codes, standards of practice, and laws governing practice. Findings of commitment to oneself showed that 60% of residents often or always exhibited self-awareness and managed influences on personal well-being and professional performance. About two-thirds (65%) often or always managed personal and professional demands for a sustainable practice.
Reaction-advection-diffusion competition models under lethal boundary conditions
Authors: Kim Kwangjoong , Choi Wonhyung , Ahn Inkyung
Published: October 2021

In this study, we consider a Lotka–Volterra reaction–diffusion–advection model for two competing species under homogeneous Dirichlet boundary conditions, describing a hostile environment at the boundary. In particular, we deal with the case in which one species diffuses at a constant rate, whereas the other species has a constant rate diffusion rate with a directed movement toward a better habitat in a heterogeneous environment with a lethal boundary. By analyzing linearized eigenvalue problems from the system, we conclude that the species dispersion in the advection direction is not always beneficial, and survival may be determined by the convexity of the environment. Further, we obtain the coexistence of steady-states to the system under the instability conditions of two semi-trivial solutions and the uniqueness of the coexistence steady states, implying the global asymptotic stability of the positive steady-state.
Dynamics of a Leslie-Gower predator-prey system with hunting cooperation and prey harvesting
Authors: Yao Yong , Liu Lingling
Published: October 2021

In this paper, we study the dynamics of a Leslie-Gower predator-prey system with hunting cooperation among predator population and constant-rate harvesting for prey population. It is shown that there are a weak focus of multiplicity up to three and a cusp of codimension at most two for various parameter values, and the system exhibits two saddle-node bifurcations, a Bogdanov-Takens bifurcation of codimension two and a Hopf bifurcation as the bifurcation parameters vary. The results developed in this article reveal far more complex dynamics compared to the Leslie-Gower system and show how the prey harvesting and the hunting cooperation affect the dynamics of the system. In particular, there exist some critical values of prey harvesting and hunting cooperation such that the predator and prey populations are at risk of extinction if the intensities of harvesting and hunting cooperation are greater than these critical values. Moreover, numerical simulations are presented to illustrate our theoretical results.
Multi-objective optimization model for planning metro-based underground logistics system network: Nanjing case study
Authors: Sun Xiliang , Hu Wanjie , Xue Xiaolong , Dong Jianjun
Published: October 2021

Utilizing rail transit system for collaborative passenger-and-freight transport is a sustainable option to conquer urban congestion. This study proposes effective modeling and optimization techniques for planning a city-wide metro-based underground logistics system (M-ULS) network. Firstly, a novel metro prototype integrating retrofitted underground stations and newly-built capsule pipelines is designed to support automated inbound delivery from urban logistics gateways to in-city destinations. Based on four indicators (i.e. unity of freight flows, regional accessibility, environmental cost-saving, and order priority), an entropy-based fuzzy TOPSIS evaluation model is proposed to select appropriate origin-destination flows for underground freight transport. Then, a mixed integer programming model, with a well-matched solution framework combining multi-objective PSO algorithm and A* algorithm, are developed to optimize the location-allocation-routing (LAR) decisions of M-ULS network. Finally, real-world simulation based on Nanjing metro case is conducted for validation. The best facility configurations and flow assignments of the three-tier M-ULS network are reported in details. Results confirm that the proposed algorithm has good ability in providing high-quality Pareto-optimal LAR decisions. Moreover, the Nanjing M-ULS project shows strong economic feasibility while bringing millions of Yuan of annual external benefit to the society and environment.
On a Langevin equation involving Caputo fractional proportional derivatives with respect to another function
Authors: Laadjal Zaid ,   Department of Mathematics and Computer Sciences, Abbes Laghrour University, Khenchela, 40004, Algeria, Jarad Fahd ,   Department of Mathematics, Çankaya University, 06790 Ankara, Turkey,   Department of Medical Research, China Medical University, Taichung 40402, Taiwan
Published: October 2021

In this work, we introduce and study a class of Langevin equation with nonlocal boundary conditions governed by a Caputo fractional order proportional derivatives of an unknown function with respect to another function. The qualitative results concerning the given problem are obtained with the aid of the lower regularized incomplete Gamma function and applying the standard fixed point theorems. In order to homologate the theoretical results we obtained, we present two examples.
Big Data and High-Performance Analyses and Processes
Authors: Kashyap Ramgopal
Published: October 2021

The period of vast information and examination has arrived and is changing the world significantly. The field of information frameworks ought to be at the bleeding edge of comprehension and deciphering the effect of the two innovations and administration to lead the endeavors of business to inquire about in the information period. In this chapter, the author investigates administrative issues of business change coming about because of the original appropriation and inventive uses of information sciences in business. The author ends by giving an analysis of big data that covers all the analytical processes and future research headings.
Role of Big Data in Internet of Things Networks
Authors: Saravanan Vijayalakshmi , Hussain Fatima , Kshirasagar Naik
Published: October 2021

With recent advancement in cyber-physical systems and technological revolutions, internet of things is the focus of research in industry as well as in academia. IoT is not only a research and technological revolution but in fact a revolution in our daily life. It is considered a new era of smart lifestyle and has a deep impact on everyday errands. Its applications include but are not limited to smart home, smart transportation, smart health, smart security, and smart surveillance. A large number of devices connected in all these application networks generates an enormous amount of data. This leads to problems in data storage, efficient data processing, and intelligent data analytics. In this chapter, the authors discuss the role of big data and related challenges in IoT networks and various data analytics platforms, used for the IoT domain. In addition to this, they present and discuss the architectural model of big data in IoT along with various future research challenges. Afterward, they discuss smart health and smart transportation as a case study to supplement the presented architectural model.
Big Data and Advance Analytics: Architecture, Techniques, Applications, and Challenges
Authors: Verma Surabhi
Published: October 2021

The insights that firms gain from big data analytics (BDA) in real time is used to direct, automate and optimize the decision making to successfully achieve their organizational goals. Data management (DM) and advance analytics (AA) tools and techniques are some of the key contributors to making BDA possible. This paper aims to investigate the characteristics of BD, processes of data management, AA techniques, applications across sectors and issues that are related to their effective implementation and management within broader context of BDA. A range of recently published literature on the characteristics of BD, DM processes, AA techniques are reviewed to explore their current state, applications, issues and challenges learned from their practice. The finding discusses different characteristics of BD, a framework for BDA using data management processes and AA techniques. It also discusses the opportunities/applications and challenges managers dealing with these technologies face for gaining competitive advantages in businesses. The study findings are intended to assist academicians and managers in effectively quantifying the data available in an organization into BD by understanding its properties, understanding the emerging technologies, applications and issues behind BDA implementation.
Big Data Visualization Tools and Techniques
Authors: Okechukwu Obinna Chimaobi
Published: October 2021

In this chapter, a discussion is presented on the latest tools and techniques available for Big Data Visualization. These tools, techniques and methods need to be understood appropriately to analyze Big Data. Big Data is a whole new paradigm where huge sets of data are generated and analyzed based on volume, velocity and variety. Conventional data analysis methods are incapable of processing data of this dimension; hence, it is fundamentally important to be familiar with new tools and techniques capable of processing these datasets. This chapter will illustrate tools available for analysts to process and present Big Data sets in ways that can be used to make appropriate decisions. Some of these tools (e.g., Tableau, RapidMiner, R Studio, etc.) have phenomenal capabilities to visualize processed data in ways traditional tools cannot. The chapter will also aim to explain the differences between these tools and their utilities based on scenarios.
Statistical and Computational Needs for Big Data Challenges
Authors: Sedkaoui Soraya
Published: October 2021

The traditional way of formatting information from transactional systems to make them available for “statistical processing” does not work in a situation where data is arriving in huge volumes from diverse sources, and where even the formats could be changing. Faced with this volume and diversification, it is essential to develop techniques to make best use of all of these stocks in order to extract the maximum amount of information and knowledge. Traditional analysis methods have been based largely on the assumption that statisticians can work with data within the confines of their own computing environment. But the growth of the amounts of data is changing that paradigm, especially which ride of the progress in computational data analysis. This chapter builds upon sources but also goes further in the examination to answer this question: What needs to be done in this area to deal with big data challenges?
A Survey of Big Data Analytics Using Machine Learning Algorithms
Authors: Moorthy Usha , Gandhi Usha Devi
Published: October 2021

Big data is information management system through the integration of various traditional data techniques. Big data usually contains high volume of personal and authenticated information which makes privacy as a major concern. To provide security and effective processing of collected data various techniques are evolved. Machine Learning (ML) is considered as one of the data technology which handles one of the central and hidden parts of collected data. Same like ML algorithm Deep Learning (DL) algorithm learn program automatically from the data it is considered to enhance the performance and security of the collected massive data. This paper reviewed security issues in big data and evaluated the performance of ML and DL in a critical environment. At first, this paper reviewed about the ML and DL algorithm. Next, the study focuses towards issues and challenges of ML and their remedies. Following, the study continues to investigate DL concepts in big data. At last, the study figures out methods adopted in recent research trends and conclude with a future scope.
Big Data Analytics and Mining for Knowledge Discovery
Authors: Leung Carson K.
Published: October 2021

Big data analytics and mining aims to discover implicit, previously unknown, and potentially useful information and knowledge from big data sets that contain huge volumes of valuable veracious data collected or generated at a high velocity from a wide variety of rich data sources. Among different big data analytic and mining tasks, this chapter focuses on frequent pattern mining. By relying on the MapReduce programming model, researchers only need to specify the “map” and “reduce” functions to discover (organizational) knowledge from (i) big data sets of precise data in a breadth-first manner or depth-first manner and/or from (ii) big data sets of uncertain data. Such a big data analytics process can be sped up by focusing the mining according to the user-specified constraints that express the user interests. The resulting (constrained or unconstrained) frequent patterns mined from big data sets provide users with new insights and a sound understanding of users' patterns. Such (organizational) knowledge is useful is many real-life information science and technology applications.
From Business Intelligence to Big Data
Authors: Alnoukari Mouhib
Published: October 2021

Boundaries between business intelligence (BI), big data (BD), and big data analytics (BDA) are often unclear and ambiguous for companies. BD is a new research challenge; it is becoming a subject of growing importance. Notably, BD was one of the big buzzwords during the last decade. BDA can help executive managers to plan an organization's short-term and long-term goals. Furthermore, BI is considered as a kind of decision support system (DSS) that can help organizations achieving their goals, creating corporate value and improving organizational performance. This chapter provides a comprehensive view about the interrelationships between BI, BD, and BDA. Moreover, the chapter highlights the power of analytics that make them considered as one of the highly impact's organizational capability. Additionally, the chapter can help executive managers to decide the way to integrate BD initiatives as a tool, or as an industry, or as a corporate strategy transformation.
Big Data and Enterprise Applications
Authors: Doğan Ahmet , Arı Emin Sertaç
Published: October 2021

Today, a company continues its activities in a highly competitive environment regardless of the sector in which it operates. An important point has been emphasized in many developments by experienced managers and academics which have been released to the public. From marketing to finance, human resource management, auditing and planning, all business processes have entered an incredible innovative process. One of the topics in this process is big data. When cumulative data are not used, they cannot transcend being huge piles of garbage. However, it is not possible to analyze such large, complex, and dynamic data via conventional methods. At this point, the concept of big data has emerged. In this study, after the explanation and definition of the concept, a vast literature review was conducted in order to present the relationship of big data with IoT, big data-related topics, and academic researches on big data. Afterwards, real-life enterprise applications were exemplified from various industries.
Understanding the Determinants of Big Data Analytics Adoption
Authors: Verma Surabhi , Chaurasia Sushil
Published: October 2021

This article aims to empirically investigate the factors that affects the adoption of big data analytics by firms (adopters and non-adopters). The current study is based on three feature that influence BDA adoption: technological context (relative advantage, complexity, compatibility), organizational context (top management support, technology readiness, organizational data environment), and environmental context (competitive pressure, and trading partner pressure). A structured questionnaire-based survey method was used to collect data from 231 firm managers. Relevant hypotheses were derived and tested by partial least squares. The results indicated that technology, organization and environment contexts impact firms' adoption of big data analytics. The findings also revealed that relative advantage, complexity, compatibility, top management support, technology readiness, organizational data environment and competitive pressure have a significant influence on the adopters of big data analytics, whereas relative advantage, complexity and competitive pressure have a significant influence on the non-adopters of big data analytics.
Mapping the Intellectual Structure of the Big Data Research in the IS Discipline
Authors: Verma Surabhi
Published: October 2021

Big data (BD) is one of the emerging topics in the field of information systems. This article utilized citation and co-citation analysis to explore research articles in the field of BD to examine the scientific development in the area. The research data was retrieved from the WOS database from the period between 2005 and June 2016, which consists of 366 articles. In the citation analysis, this article relies on the degree centrality and betweenness centrality for identifying 38 important papers in BD. In the co-citation analysis, a principal component factor analysis of the co-citation matrix is employed for identifying six major research themes: foundations, BD applications, techniques and technologies, challenges, adoption and impacts and literature review. This literature review is one of the first studies to examine the knowledge structure of BD research in the information systems discipline by using evidence-based analysis methods. Recommendations for future research directions in BD are provided based on the analysis and results of this study.
How Big Data Transforms Manufacturing Industry
Authors: Chang Victor I. C. , Lin Wanxuan
Published: October 2021

This article describes an overview of what Big Data is and explains how it transforms the manufacturing industry. First, this article defines what Big Data means for the manufacturing industry. It explains four advantages about Big Data analytics and their benefits to manufacturing. Then, it describes about what ethical issues of Big Data are. Next, it discusses more deeply about the ethical issues of Big Data in manufacturing with both individual and organizational perspectives. Finally, this article sums up with some principles to show the ethical governance of the interests of Big Data stakeholders.
Social Enterprises and Sustainable Development Goals
Authors: Surmeli Aral , Narla Nirmala Priya , Hoeflin Caitlyn
Published: October 2021

In line with Sustainable Development Goals (SDGs) put forth by the United Nations (UN), social entrepreneurship models in global health are on the rise. While SDG Goal 3: Good Health and Wellbeing is the direct focus of global health sector, the majority of other SDG goals affect and are affected by ‘good health and wellbeing'. While global health interventions create social value by increasing healthcare access in vulnerable populations, the effect is often limited by the timeline and availability of funds. In a social venture model, where value creation is paired with a sustainable financial income, this issue can be alleviated. In addition, innovative intervention models for vulnerable populations can align themselves with the sustainable social value aims in the UN's new Global Goals. This chapter describes a project (HERA) designed to decrease mortality and morbidity due to preventable diseases in refugees. The authors examine how it transformed to a sustainable and collaborative social initiative working to create lasting social value and discuss this process contextualized by the SDGs.
Intercultural Dialogue as a Tool for Maintaining Sustainable Partnerships in Tourism
Authors: Kiryakova-Dineva Teodora , Chankova Yana
Published: October 2021

International partnerships have a reinforcing effect and lasting benefits for modern economy and social life. The principles of intercultural partnerships in tourism can be compared to other principles of sustainable development. This chapter recognises the ultimate role of sustainable development in the sphere of tourism, while applying the theory of intercultural dialogue as an approach to the SDG 17 and tracing back partnerships to the bridge where different cultures meet. Such meetings very often need a bridge to cross over cultural gaps. In view of the proposed research, one such bridge is presented by the International Tourism Fair Holiday and SPA EXPO 2020, and it is against the background of this event that the established partnerships mediated by intercultural dialogue are classified.
An Evaluation of Online Education Efficacy and the Measures to Improve It From the Perspectives of Management Students in the Wake of COVID-19
Authors: Parmar Akshay , Singh Ankit
Published: October 2021

The forced change to adopt the online mode of education delivery for postgraduate students has posed novel challenges. The efficacy of adopted online education in the wake of COVID-19 needs to be examined. The influence of individual student’s behaviour related variables such as nutrition behaviour, Physical activity behaviour and Social Media usage on perceived online education efficacy and attainment of a learning goal is examined in the current study. A total of 185 post-graduate healthcare management students from different educational institutions of India were surveyed. Path Analysis is performed to test the conceptual model. The results highlight that the effect of exercise on the attainment of a learning goal is best at the higher levels of self-study hours and at the lower levels there is a negative relationship between the two. The impact of social media on self-learning hours and the online education efficacy is negative.
Towards a Conceptual Framework for Customer Intelligence in the Era of Big Data
Authors: Dam Nguyen Anh Khoa , Le Dinh Thang , Menvielle William
Published: October 2021

The dominance of services and service-based products in today's economy highlights the significance of customer intelligence for service offerings. Furthermore, the revolution of big data has generated a vast amount of customer data and reshaped the dimensions of organization, management, and technology within enterprises. The big data era also acknowledges the role of customers for value co-creation. Therefore, the objective of this paper is to propose a service-based framework for customer intelligence in the age of big data, hereafter called the SBCI framework, from the design science and service science approach. It laid the groundwork upon design science; the SBCI framework is proposed with the detailed artefacts, including construct, model, method, and instantiation. The framework also reflects service science through the three levels: 1) the network of service systems level for service proposal, 2) the service system level for service creation, and 3) the service level for service operation.
A Systematic Review on Prediction Techniques for Cardiac Disease
Authors: Wadhawan Savita , Maini Raman
Published: October 2021

Mortality rate can be lowered with early prediction of cardiac diseases, which is one of the major issue in healthcare industry. In comparison of traditional methods, intelligent systems have potential to predict these diseases accurately at early stage even with complex data. Various intelligent DSS are presented by researchers for predicting this disease. To study the trends of these intelligent systems, to find the effective techniques for predicting cardiac disease and to find the future directions are the objective of this study. Therefore this paper presents a systematic review on state-of-art techniques based on ML, NN and FL. For analysis, we follow PRISMA statement and considered the studies presented from 2010 to 2020 from different databases. Analysis concluded that ML based techniques are broadly used for feature selection and classification and have the potential for the prediction of cardiac diseases. The future directions are to evaluate the rarely used prediction techniques and finding the way of improving them for model generalization with better prediction accuracy.
First QSTR Report on Allium Cepa Phytotoxicity of Pesticides
Authors: Murmu Anjali , Banjare Purusottam , Singh Jagadish , Roy Partha Pratim
Published: October 2021

Exposure of pollutants, plant protection products with plants through all compartments of the environment result in food contamination and toxicity. With the aim of identification of toxic nature of the diverse pesticides on Allium Cepa, experimental data (EC25 and NOEL) were collected from the OPP database and was subjected to QSTR analysis. All the developed MLR models were found to be robust (Q2LOO = 0.619 - 0.748) and predictive enough (Q2Fn = 0.662 - 0.845, CCC = 0.844 - 0.867). The prediction reliability was assured by the application of the leverage approach of Applicability Domain (AD). Finally, prediction and prioritization of the pesticides with no experimental data for two endpoints (EC25 and NOEL) were done by the first theoretical phytotoxicity model of onion. The occurrence of similar prioritized pesticides for both endpoints indicated that either of the endpoints can be used for the ecotoxicological study of the pesticides.
Individual Barriers to Energy-Efficient Appliance Purchases
Authors: Joshi Gauri Yogesh , Panda Rajesh , Sheorey Pratima Amol
Published: October 2021

This paper reviews the literature on the barriers encountered by consumers while purchasing energy efficient household appliances in the last decade. Energy efficient household appliances are the appliances which consume minimum energy while functioning at their fullest capacity. It is observed that the studies on barriers to energy efficient appliances are highly prevalent in the developed economies while there are not many in the BRICS nations. Moreover, in the developed nations, the barriers towards efficient appliances has been analysed from the lens of behavioural economics disregarding the rational economic perspective, while studies of similar kind are lacking in the emerging economies. The review proposes a model based on theory of planned behaviour and Prospect theory to predict the impact of barriers on consumer’s purchase behaviour. it recommends that the linear relationship between purchase intention and purchase behaviour is mediated by the presence of barriers like perceived product risks, subjective norm, perceived personal inconvenience and price sensitivity.
A Qualitative Study on Financial Inclusion Initiatives in India
Authors: Mani Mukta
Published: October 2021

Bankers’ perception about various financial inclusion programs is a significant factor in successful implementation of financial inclusion initiatives. This study is aimed to investigate the experiences of bankers about various financial inclusion initiatives through qualitative research design. In-depth interviews of bank managers have been carried out in Ghaziabad district of India. The results indicate that shortage of staff in banks is a major challenge in Indian banking sector. Financial illiteracy and unawareness are the other challenges which are being addressed albeit through Financial Literacy initiatives of the Reserve Bank of India. Timely hiring of new staff in banks, their preparation and readiness for better decision making would certainly affect the situation of financial inclusion. The study is unique as it highlights the issues of financial inclusion through a qualitative research and provides bankers’ point of view on same.
Unscheduled bleeding following HRT - assessment and management
Authors: Jayalath J.A.V.S. , Ifla M.I.F.
Published: October 2021

Menopause is defined as permanent cessation of monthly menstrual periods due to permanent depletion of ovarian follicular activity which results in reduced production of ovarian steroids. This in turn causes short term and long term complications in postmenopausal women. Hormone replacement therapy (HRT) is considered as the treatment of choice in the management of these complications. However, unscheduled bleeding following HRT is a well known complication. Diagnosis of unscheduled bleeding is confirmed after careful assessment and exclusion of secondary endometrial pathologies. This can be managed effectively by adjusting or changing the hormone profile in HRT preparations.
What were they drinking? A preliminary study of alcohol metabolites in Andean mummy hair
Authors: Cartmell Larry , Aufderheide Arthur , Caprara Daniela , Klein Julia , Koren Gideon
Published: October 2021

Consumption of alcoholic beverages has occurred for millennia. Sugar is common in most natural fruit juices and our ancestors likely discovered the fermentation process accidentally. Many indigenous populations developed their own fermented drink, which varied depending on local ingredients. In the Andean region, a cloudy beer called Chicha was the favored fermented beverage. Very little direct evidence is known concerning the pre-Hispanic pattern of use. When alcohol was introduced in this society in a widespread manner is also unknown. A direct alcohol marker would enhance our understanding of ancient use as it has with other drugs. Fatty acid ethyl esters (FAEE’s) have been identified as metabolic products of ethyl alcohol in modern hair and recently tests have become available for their detection. This preliminary study was undertaken to determine if FAEE’s could be found in mummy hair to serve as markers of alcohol exposure.