bluuebunny/crossref_metadata_2025 huggingface dataset:
Public Sector Marketing in Poland
Authors: Seliga Robert
Published: August 2019

Marketing is increasingly interdisciplinary area of high-scale diversity. Noticeable is the implement and adapt the tools and the concept of marketing in the different sectors of the economy such as the private sector, non-governmental sector or the public sector. Marketing is a concept in the area of management science and it plays a special role in the area of public management. For selected areas of public life such as: health services and higher education, it will be possible to use more sophisticated tools than in the case of administrative operations. The aim of the chapter is to create a comprehensive model of interdependence and cooperation of various marketing concepts in the public sector in Poland. The empirical part of the article was based on quantitative research conducted in 2015 – 2016.
Design of Interactional Decision Support Applications for E-Participation in Smart Cities
Authors: Ortner Erich , Mevius Marco , Wiedmann Peter , Kurz Florian
Published: August 2019

Nowadays, the number of human to application system interactions is dramatically increasing. For instance, citizens interact with the help of the internet to organize meetings spontaneously. Furthermore, standards such as Business Process Model and Notation (BPMN) and the Decision Modeling Notation (DMN) allow the creation of graphical models to document the (interaction) processes. Moreover, simulations and automations can be set up to encounter new technical challenges. Smart Cities aim at enabling their citizens to use these digital services. However, looking beyond technology, there is still a significant lack of interaction and support between “normal” citizens and the public administration. This article introduces an approach, which describes the design of enhanced interactional applications for decision support in Smart Cities based on Dialogical Logic process patterns. The authors demonstrate the approach with the help of a use case concerning a budgeting scenario as well as a summary and outlook on further research.
Integrating Semi-Open Data in a Criminal Judicial Setting
Authors: Bargh Mortaza S. , Choenni Sunil , Meijer Ronald F.
Published: August 2019

Judiciary systems comprise various partner organizations (e.g., police, public prosecutor, courts, and rehabilitation centres) that collaboratively resolve criminal cases. These partner organizations have their own data administration and management systems, which are setup/operated separately and integrated barely. This chapter explains the approach of the authors' organization for integrating the data sets of the Dutch judiciary systems, and for opening the data integration outcomes to the public and/or to specific groups. These outcomes (e.g., data sets and reports) are meant to provide useful insights into (the performances of) the partner organizations individually and collectively. Such data opening efforts do not comply with all Open Data requirements, mainly due to the quality, (privacy) sensitivity and interoperability issues of the raw data. Nevertheless, since these initiatives aim at delivering some benefits of Open Data, the chapter introduces the new paradigm of Semi-Open Data for acknowledging such data opening initiatives.
Mastering Electronic Procurement, Green Public Procurement, and Public Procurement for Innovation
Authors: Kasemsap Kijpokin
Published: August 2019

This chapter explains the overview of Electronic Procurement (e-procurement); the critical success factors and implementation of e-procurement systems; the barriers to e-procurement implementation; the perspectives on electronic public procurement; the Interpretive Structural Modeling (ISM), Structural Equation Modeling (SEM), and e-procurement; the prospect of Green Public Procurement (GPP); the importance of Public Procurement for Innovation (PPI); and the intermediation of PPI. E-procurement, GPP, and PPI expand the aspects of enterprise resource planning systems, sustainability, and innovation, allowing the automation of internal business processes and providing the procurement-related platforms that support automation at a global level. The benefits of e-procurement, GPP, and PPI include reduced transaction time, increased productivity, improved standardization, enhanced sustainability, and simplified global procurement.
Engaging Citizens and Delivering Services
Authors: Roach Charlene M. L. , Beddeau Cristal
Published: August 2019

Globally, governments are attempting to transform their societies with the widespread use of information and communication technologies (ICTs). Public agencies consider ICTs as powerful tools to deliver services to citizens and encourage engagement. Debate surrounds issues of e-government and how it can be used to transform service delivery and engagement to citizens. For developing countries research indicates that most of these attempts can be explained as e-government versus e-governance. This article examines initiatives by the Housing Development Corporation in Trinidad and Tobago to provide service delivery to citizens and encourage their participation through electronic means. It also evaluates the effects of the agency's initiatives to citizens and its ability to interact with them. Using content analysis of the agency's website and survey interviews, the study examines four categories taken from two research questions and suggests the extent to which these efforts signal the development of e-government practices by this agency.
The Dutch Participation Society Needs Open Data, but What Is Meant by Open?
Authors: During Roel , Pleijte Marcel , van Dam Rosalie I. , Salverda Irini E.
Published: August 2019

Open data and citizen-led initiatives can be both friends and foes. Where it is available and ‘open', official data not only encourages increased public participation but can also generate the production and scrutiny of new material, potentially of benefit to the original provider and others, official or otherwise. In this way, official open data can be seen to improve democracy or, more accurately, the so-called ‘participative democracy'. On the other hand, the public is not always eager to share their personal information in the most open ways. Private and sometimes sensitive information however is required to initiate projects of societal benefit in difficult times. Many citizens appear content to channel personal information exchange via social media instead of putting it on public web sites. The perceived benefits from sharing and complete openness do not outweigh any disadvantages or fear of regulation. This is caused by various sources of contingency, such as the different appeals on citizens, construed in discourses on the participation society and the representative democracy, calling for social openness in the first and privacy protection in the latter. Moreover, the discourse on open data is an economic argument fighting the rules of privacy instead of the promotion of open data as one of the prerequisites for social action. Civil servants acknowledge that access to open data via all sorts of apps could contribute to the mushrooming of public initiatives, but are reluctant to release person-related sensitive information. The authors will describe and discuss this dilemma in the context of some recent case studies from the Netherlands concerning governmental programmes on open data and citizens' initiatives, to highlight both the governance constraints and uncertainties as well as citizens' concerns on data access and data sharing. It will be shown that openness has a different meaning and understanding in the participation society and representative democracy: i.e. the tension surrounding the sharing of private social information versus transparency. Looking from both sides at openness reveals double contingency: understanding and intentions on this openness invokes mutual enforcing uncertainties. This double contingency hampers citizens' eagerness to participate. The paper will conclude with a practical recommendation for improving data governance.
Public Financial Management and Systems of Accountability in Sub-National Governance in Developing Economies
Authors: Boachie Christopher
Published: August 2019

There is an increasing focus worldwide on improving the quality of public financial management, with many countries in both the developed and the developing world making important and impressive achievements in strengthening public financial management and governance. This chapter explores how subnational government financial management can be improved and capacity strengthened in developing economies. Using Ghana's subnational financial management and accountability system as illustration, this study shows that improving public financial management leads to better quality of public services. The subnational government landscape is rapidly changing, with increasing emphasis on fiscal management and discipline, prioritization of expenditure, and value for money. It is even more important that international donors, governments, and national and local institutions, including regulators and professional accountancy bodies, work together in partnership to achieve long-lasting improvements, transparency, and accountability in public financial management.
Societal and Economical Impact on Citizens Through Innovations Using Open Government Data
Authors: Misra D. P. , Mishra Alka
Published: August 2019

This chapter analyzes the impact that an open data policy can have on the citizens of India. Especially in a scenario where government accountability and transparency has become the buzzword for good governance and further look at whether the availability of open data can become an agent for socio-economic change in India. What kind of change it can bring to India which has its own complexities when it comes to socio economic issues and whether the steps taken by the government are up to the mark to address these complexities through data sharing. In order to understand the changes which may occur for the good or the bad, the chapter looks at specific examples where the open data platform have been utilized in India and what impact they have had on the Indian society and how the citizens have responded to it.
E-Government and Related Indices
Authors: Boyer-Wright Kathleen M. , Kottemann Jeffrey E.
Published: August 2019

The primary United Nations E-Government Index is a composite of three component indices: telecommunications infrastructure, human capital, and online e-government services, where the first two can be seen as enablers of the third. This study investigates the addition of a complementary component index for institutional efficacy, which is hypothesized to be another enabling factor. The institutional efficacy index is operationalized using existing measures gathered and made available by the World Bank. Statistical analysis shows that the institutional efficacy index is indeed a significant, additional predictor of online e-government services across nations. Following the presentation of basic results, qualitative analyses are undertaken to develop an assortment of generic national profiles. Preliminary analyses of changes over time are also presented using data from prior years, and directions for future research are outlined.
Politics-Administration Relations and the Effect on Local Governance and Development
Authors: Rahman Muhammad Sayadur
Published: August 2019

This study explores the politico-bureaucratic dynamics within the local government of Bangladesh, focusing on the policy role while explaining the governance role of politicians and bureaucrats. Particular emphasis is placed on the politics-bureaucracy relationship and its impact on local governance and development, given that the nature of this relationship and the appropriate role of political leaders and administrators have been the subject of considerable debate. During the last two decades of democratic governance in Bangladesh, politicians have been the dominant forces in governance due to their role in aggregating interests and values; however, bureaucrats are similarly influential, given their role as initiators and implementers of policies. The bureaucracy has emerged as a dominant institution in both local and central governments. The bureaucracy is directly or indirectly involved in partisan politics, which negatively impacts local governance and development.
Governance Evolution and Impact on Economic Growth
Authors: Raju A. Subramanyam , Balasubramaniam Nagarajan , Srinivasan Rajamanickam
Published: August 2019

Governance matters (Kaufman, et al, 1999) for growth is now an accepted dictum. However, there are as many hypotheses as to what constitutes governance 'as there are researchers in the field' (Bressers, J.T.A. & Kuks, S.M.M., 2003). Apart from econometrics, political science provides important insights on factors that influence governance and facilitate growth. This chapter examines the political history and economy of South Asia to determine the features that shaped governance and affected economic growth. It finds that governance in South Asian context evolved through three phases. Using a comparative perspective of GDP growth rates and World Governance Indicators in South Asia and Brazil, it analyzes the relationship between political history and economy in each phase. The findings indicate that political ideologies, stability of regimes and policy continuity hugely influence the institutions of government and economic growth. The chapter also finds that people's participation in governance would enhance growth and distributive social justice.
Critical Success Factors in Electronic Health Records (EHR) Implementation
Authors: Bajwa Navneet Kaur , Singh Harjot , De Kalyan Kumar
Published: August 2019

Electronic Health Records (EHR) has been the subject of much academic discussion in recent times. The impact that a successful implementation of EHR can have on a hospital cannot be overstated. Factors which are crucial to successful implementation of an EHR system are commonly known as Critical Success Factors (hereinafter referred to as CSFs). Purpose: The present study investigates the role of CSFs in implementation process of EHR systems in north Indian multispecialty hospitals. Design: The questionnaire has been distributed to 12 hospitals which have been using EHR technology. Findings: It has been concluded that three out of the five CSFs included in the study, play a more important role than the other two factors. Research limitations: The factors have not been considered separately based upon pre-implementation scenario and post-implementation phase. Originality: The study attempts to outline the impact of EHR systems on successful operational performance of hospitals.
Inter-Organizational Knowledge Sharing System in the Health Sector
Authors: Al-Busaidi Kamla Ali
Published: August 2019

This study aimed to investigate the physicians' attitude toward inter-organizational knowledge sharing system (IOKSS) deployment in the health sector in Oman. IOKSS in the health sector can be very crucial and results in several operational, strategic, social and economic benefits for healthcare providers and physicians. Previous research on inter-organizational systems (IOS) has focused on organizational adoption, particularly on vertically-linked organizations. Identifying major issues that are critical to physicians, the end users and key stakeholders, is crucial for IOKSS deployment. Based on data collected from physicians in Oman, results indicated that peers, the sector and knowledge workers, are critical factors to physicians' attitudes toward IOKSS. The study also indicated that physicians' attitudes were positively associated with their intention to share implicit, explicit, exploratory and exploitive knowledge. These results are valuable for organizational designing, planning and decision-making regarding their adoption of IOKSS in the health sector.
Semantic Interoperability-Enabled Architecture for Connected Health Services
Authors: Taweel Adel
Published: August 2019

With the increasing availability of connected health organisations, key medical information is expected to be accessible at the point of care. However, the high sensitivity of the clinical data and the large heterogeneity in health information systems pose a great interoperability challenge, including solutions that rely solely on the use of data exchange standards. Due to low adoption of these standards, such solutions will not sufficiently scale to achieve this objective. This chapter presents a service-based approach that utilises domain models combined with extensible problem models, enriched with domain terminology and knowledge services to enable autonomous data governance and semantic interoperability. The chapter addresses the resulting requirements, describes the proposed a solution and reports the results from the prototype of the approach.
Design and Development of Real Time Patient Monitoring System with GSM Technology
Authors: Suryanarayanan Sindhu , Manmadhan Sreekala , Rakesh N.
Published: August 2019

Technology keeps evolving every second. Humans receive all the essential information with just one touch. Be it the weather forecast or ordering any grocery or communicating with one's peers, everything happens so easily and efficiently. It is undoubtedly user friendly. When the same technology associates itself with the medical equipment it becomes easier to fetch and process the patient's data in real time. It also helps to make several life-saving, spontaneous decisions for the critical care. This paper talks about the patient monitoring system. The physiological parameters of the patient are continuously monitored in real time using sensors. The data that is obtained from the sensor is then sent to an Arduino Uno microcontroller where it is analyzed. If the patient's data differs from the required threshold values, an emergency message is sent to the assigned doctor's mobile. This is done using the GSM module which is interfaced with the microcontroller. Verifying the system in software is done using Proteus.
New Features for Damage Detection and Their Temperature Stability
Authors: Gharibnezhad Fahit , Delgado Luis Eduardo Mujica , Rodellar Jose
Published: August 2019

This chapter is devoted to present novel techniques in Structural Health Monitoring (SHM). These techniques are based on different statistical and signal processing methods that are used in other fields but their performance and capability in SHM is presented and tested for the first time in this work. This work is dedicated to the first level of SHM, which might be considered the main and most important level. Piezoceramic (PZT) devices are chosen in this work to capture the signals due to their special characteristics such as high performance, low energy consumption and reasonable price. Suggested techniques are tested on different laboratory and real scale test benchmarks. Moreover, this work considers the effect of environmental changes on performance of the presented techniques. This work shows that although those techniques have a significant result in normal conditions, their performance can be affected by any environmental discrepancy such as temperature change. As such, there is a vital need to consider their effect. In this work, temperature change is chosen, as it is one of the main environmental fluctuation factors.
M-Health in Prehospital Emergency Medicine
Authors: Metelmann Bibiana , Metelmann Camilla
Published: August 2019

Prehospital emergency medicine strives to treat (potentially) life-threatening conditions as early as possible and thus reduce preventable disabilities and deaths. MHealth enables the transfer of knowledge to the emergency site. The purpose of this chapter is to display different approaches. Knowledge can be brought to the emergency site e.g. by smart phone applications allowing retrieval of data or by real-time communication with a remote medical expert. High definition video communication in real time offers the highest amount of mHealth communication currently available in prehospital emergency medicine. Projects, using such a video communication are discussed. In the European Union funded project LiveCity a special video camera was developed and tested. After having encountered simulated emergency scenarios, emergency doctors and paramedics rated the video connection as helpful, an improvement of the quality of patient care and could imagine working with such a video consultation. MHealth has huge potential for the application in prehospital emergency medicine.
Factors Influencing Physicians' Acceptance of E-Health in Developing Country
Authors: Hoque Md. Rakibul , Albar Adnan , Alam Jahangir
Published: August 2019

E-Health is one of the solutions to provide better access for patients and physician to healthcare facilities. In developing countries, e-Health is particularly important due to a shortage of physician and medical workers. Although most physicians in developing countries like Bangladesh acknowledge the benefits of e-Health, low adoption is not uncommon. The objective of this study is to identify the critical factors affecting e-Health adoption among physicians in Bangladesh. A cross-sectional survey questionnaire method was used for this study. The structural equation modeling (SEM) with the partial least square (PLS) approach was used to analyze the data. The study found that Performance Expectancy, Effort Expectancy, Social Influence and Personal Innovativeness had a significant impact on the behavioral intention to use e-Health, while Facilitating Conditions had no significant effect. The findings of this study will facilitate the degree of more acceptance of new technology by the physicians for their own betterment.
A Proxy-Based Solution for Asynchronous Telemedical Systems
Authors: Rauti Sampsa , Lahtiranta Janne , Parisod Heidi , Hyrynsalmi Sami , Salanterä Sanna , Aromaa Minna Elisabeth , Smed Jouni , Leppänen Ville
Published: August 2019

Asynchronous telemedicine systems face many challenges related to information security as the patient's sensitive information and data on medicine dosage is transmitted over a network when monitoring patients and controlling asynchronous telemedical IoT devices. This information may be modified or spied on by a malicious adversary. To make asynchronous telemedicine systems more secure, the authors present a proxy-based solution against data modification and spying attacks in web-based telemedical applications. By obfuscating the executable code of a web application and by continuously dynamically changing obfuscation, the authors' solution makes it more difficult for a piece of malware to attack its target. They use a constructive research approach. They characterize the threat and present an outline of a proposed solution. The benefits and limitations of the proposed solution are discussed. Cyber-attacks targeted at the information related to patient's care are a serious threat in today's telemedicine. If disregarded, these attacks have negative implications on patient safety and quality of care.
Who Am I as a Healthcare Provider?
Authors: Umoren Rachel , Rybas Natalia
Published: August 2019

The U.S. healthcare delivery system relies on the formation of ad hoc teams of highly-trained, experienced, providers of various specialties. The providers work in interprofessional teams that converge to address situations around acute patient care. Various models of virtual training provide structured opportunities for interprofessional education, whereby learners engage with roles and responsibilities essential for their professions and active collaboration with other team members. This learning is transformative as it influences the development of professional identity and teamwork skills needed for successful collaborative practice in interprofessional teams. This chapter explores the role of training health care professional students using virtual simulations and the emerging potential of virtual and augmented reality for health professional education.
Security in Application Layer Protocols of IoT
Authors: Norman Jasmine , Joseph Paul
Published: August 2019

IoT is an acronym for Internet of Things. It is the revolutionary area that transforms the digital world into a device world. IoT helps in not only fulfilling human requirements, but also they act as a communication medium between humans and electronic devices. The birth of IoT started in early 2000s, but since then, it is an amazing fact that now at least 65% of devices are connected with IoT technology with the term “smart” in their prefix and it would be up by 30% at the end of 2016 (Gartner Survey, 2015). Since then, many security issues were raised, and have been risen all these years due to the flaws in that devices. This made attackers to take advantage over that devices and started controlling them. This chapter studies IoT application layer protocols, services offered and gives an idea of existing cyber attacks and threat. In addition, the authors give the possible attacks on the IoT devices, in particular at application layer, and give the necessary precautions to overcome the cyber attacks both for consumers and vendors.
Fault-Recovery and Coherence in Internet of Things Choreographies
Authors: Cherrier Sylvain , Ghamri-Doudane Yacine M.
Published: August 2019

Facilitating the creation of applications for the Internet of Things (IoT) is a major concern to increase its development. D-LITe, our previous work, introduces genericity by providing a universal programming interface. Objects are dynamically configured to have their own behaviour, and their actions/reactions are considered as part of a whole application. D-LITeful Objects describe their capabilities, receives the application logic to be executed, and interacts with other. The application is seen as a choreography of behaviours. But the main issue of choreographies is the loss of coherence. Because of their unreliability, some networks used in IoT may introduce de-synchronization, leading to interactions errors. We propose to reintroduce coherence in order to keep the advantages of choreography while dealing with this main issue. An overlay of logical check-points defines the dependence between the coherent states of objects and triggers re-synchronizations. This paper ends with a discussion on the trade-off between the checking cost and the reliability improvement.
Agent Based Noise Detection Using Real Time Data Analysis Towards Green Environment
Authors: De Sarkar Nivedita Ray , Kundu Anirban , De Mou , Bera Anupam
Published: August 2019

The authors propose an agent-based noise detection system based on Internet of Things (IOT) for handling abnormality in sound levels of a specified zone and further analysis of data received. Our research work is important for managing different noise levels and to control fully automated emergency response unlike existing mechanism. Increased requirement of safety and security of typical organizations triggers the idea of IOT based framework creating safer zone for highly secured data and/or substances. Agents are to be considered for producing a particular effect based on external noise values. In this article, the authors have used noise agents to identify noise levels in enclosed spaces. The safety of any zone or organization should be monitored having live noise data generated by sensors situated in specific locations of users' interests at any time instance. Generated live data is sent for further analysis for identifying noise patterns. These noise patterns determine intensity of abnormality in real environments. Their predefined set of values identifies the intensity and helps system to respond appropriately. Based on specific values of noise, distinct thresholds are decided for different enclosed zones. An alert system is based on distinct thresholds. Noise sensors have been used at sender's side and receiver's side for smooth transmission of data. New theory based on data sent, data received and dependency of noise of an agent on weightage factors has been proposed in this paper.
Securing Financial XML Transactions Using Intelligent Fuzzy Classification Techniques
Authors: Ammari Faisal Tawfiq , Lu Joan
Published: August 2019

The eXtensible Markup Language (XML) has been widely adopted in many financial institutions in their daily transactions. This adoption was due to the flexible nature of XML providing a common syntax for systems messaging in general and in financial messaging in specific. Excessive use of XML in financial transactions messaging created an aligned interest in security protocols integrated into XML solutions in order to protect exchanged XML messages in an efficient yet powerful mechanism. However, financial institutions (i.e. banks) perform large volume of transactions on daily basis which require securing XML messages on large scale. Securing large volume of messages will result performance and resource issues. Therefore, an approach is needed to secure specified portions of an XML document, syntax and processing rules for representing secured parts. In this research we have developed a smart approach for securing financial XML transactions using effective and intelligent fuzzy classification techniques. Our approach defines the process of classifying XML content using a set of fuzzy variables. Upon fuzzy classification phase, a unique value is assigned to a defined attribute named “Importance Level”. Assigned value indicates the data sensitivity for each XML tag. The research also defines the process of securing classified financial XML message content by performing element-wise XML encryption on selected parts defined in fuzzy classification phase. Element-wise encryption is performed using symmetric encryption using AES algorithm with different key sizes. Key size of 128-bit is being used on tags classified with “Medium” importance level; a key size of 256-bit is being used on tags classified with “High” importance level. An implementation has been performed on a real-life environment using online banking system in Jordan Ahli Bank one of the leading banks in Jordan to demonstrate its flexibility, feasibility, and efficiency. Our experimental results of the system verified tangible enhancements in encryption efficiency, processing-time reduction, and resulting XML message sizes. Finally, our proposed system was designed, developed, and evaluated using a live data extracted from an internet banking service in one of the leading banks in Jordan. The results obtained from our experiments are promising, showing that our model can provide an effective yet resilient support for financial systems to secure exchanged financial XML messages.
Anonymous Pico-Payments for Internet of Things
Authors: Rykowski Jarogniew , Cellary Wojciech
Published: August 2019

In this Chapter a new way of payments for Internet of Things services is proposed, based on a stream of anonymous pico-payments realized by means of pico-coins. System architecture and information flow are presented, showing fully automated way of contextual payments which protect customers' privacy. With the proposed stream of pico-payments, two basic problems of efficient and widely acceptable payment method for the Internet of Things are solved: privacy protection, and toleration of frequent unexpected disconnections.
Energy Aware Cluster Head Selection for Maximizing Lifetime Improvement in Internet of Things
Authors: Maddikunta Praveen Kumar Reddy , Madda Rajasekhara Babu
Published: August 2019

Energy efficiency is a major concern in Internet of Things (IoT) networks as the IoT devices are battery operated devices. One of the traditional approaches to improve the energy efficiency is through clustering. The authors propose a hybrid method of Gravitational Search Algorithm (GSA) and Artificial Bee Colony (ABC) algorithm to accomplish the efficient cluster head selection. The performance of the hybrid algorithm is evaluated using energy, delay, load, distance, and temperature of the IoT devices. Performance of the proposed method is analyzed by comparing with the conventional methods like Artificial Bee Colony (ABC), Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and GSO algorithms. The performance of the hybrid algorithm is evaluated using of number of alive nodes, convergence estimation, normalized energy, load and temperature. The proposed algorithm exhibits high energy efficiency that improves the life time of IoT nodes. Analysis of the authors' implementation reveals the superior performance of the proposed method.
Rose's Thorn
Authors: Williams Regina Gavin
Published: August 2019

This case study examines the life of Rose, a 17-year-old junior attending a public high school in a southeastern city. In the state where Rose resides, the year of “aging-out” of the foster care system is 18-years-old. With the age of 18 being such a pivotal year, Rose must not only think about her potential post-secondary options, but her ability to achieve adult self-sufficiency at such a young age as well. With no supports, this proves to be a daunting task for Rose. It becomes Rose's thorn. This chapter will explore the career and college readiness self-efficacy of Rose as she navigates her post-secondary options, builds her support networks, and discovers resources for adolescents aging out of the foster care system via her work with Dr. Williams, creator and counselor of the Students That Are Reaching Success (S.T.A.R.S.) program. Results from Rose's participation in the program will be shared and implications for counselors working with adolescents aging out of the foster care system will be reviewed.
Utilization of Acceptance and Commitment Therapy (ACT) With Charlotte Underrepresented on Campus
Authors: Gant Chantel K.
Published: August 2019

This chapter will focus on an underrepresented student in STEM Charlotte and the utility of Acceptance and Commitment Therapy (ACT) and how African-American college students' access to STEM careers remains low with representation of eight percent in varied STEM fields by Georgetown University Center on Education and Workforce Analysis. This chapter highlights psychological flexibility in ACT in connection with counseling an African-American female, and first-generation college student in STEM who has academic, financial, emotional, and familial stressors. A multicultural and social justice perspective (MSJCC) addresses some of the unique challenges this student faces while focusing on her holistic growth in the counseling process. Recommendations for higher education, counseling, and STEM are discussed.
Aaron
Authors: Scott Brianne E. , Sacco Katie K.
Published: August 2019

The purpose of this chapter is to examine the integration of the existentialist counseling approach and MSJCC as it relates to the case study of Aaron. Authors review the case of Aaron, a college student, who identifies within the LDS faith, struggling with symptoms of depression and anxiety. The authors include a review of the foundation and history of the LDS church, as well as the modern structure and implications for counseling. The authors also describe their own cultural backgrounds and counseling approaches when working with Aaron. Following this review is a case conceptualization through an existential theoretical lens with the inclusion of short-term and long-term goals alongside a treatment plan.
Effective Management of Generational Dynamics in the Workplace
Authors: Bowman Sandra G. , Mulvenon Sean W.
Published: August 2019

For the first time in history there are four generations co-existing in the workplace. Each generation, Traditionalists, Baby Boomers, Generation X and Generation Y, has very distinct attitudes, values, ideas, behaviors, ways of communicating, and expectations. These generational differences can affect everything in the organization including recruiting and retaining employees, team building, communicating, motivating, and managing. To successfully integrate these diverse generations, companies will need to embrace changes that actively demonstrates respect and inclusion for all generations. Organizations that find a way to accommodate all generations may create a more productive work environment resulting in a powerful competitive advantage.
Millennial Teamwork and Technical Proficiency's Impact on Virtual Team Effectiveness
Authors: Graham C. Matt , Daniel Harold , Doore Brian
Published: August 2019

The successful completion of information systems projects is already a difficult process that many times ends with projects failing to meet the information systems requirements. These requirements typically center on completing projects that perform the way initially envisioned, and delivering completed projects on time and within budget. Pressures around communication and leadership style are now compounded by the use of virtual teams. The goal of this study was to determine whether or not technical proficiency in the project-based skills, facility with database management systems development, and greater technical proficiency in coping within the virtual environment contributed to the development of greater virtual team effectiveness. This study targeted millennial students at the Maine Business School who were assigned to virtual teams tasked with developing a database management system within a virtual environment. Findings suggest that increased proficiencies in project skills will contribute to greater team effectiveness and more importantly, increased proficiencies within the virtual environment will contribute to greater virtual team effectiveness. These findings have implications for business educators and by natural extension, business practitioners as they suggest that training students and workers how to communicate, collaborate, exchange ideas, and share information better within virtual environments will improve virtual team effectiveness which should translate into greater virtual teams project outcomes.
Youth Employment
Authors: Öztürk Şenol
Published: August 2019

Youth employment has been a challenge with gradual acceleration from beginning of 1990s. It also has been exacerbated by latest global crises. Besides, as a fact mutually having a fostering relation with it, increasing rate of inactive population among the youth has caused to soar worry about the matter. Although youth unemployment is a common problem for developed and developing countries, it differs in these countries in terms of formation, intensity and solution way. In two decades countries around the world have implemented particular policies against the matter accordance to action plans prescribed by international organizations such as ILO, OECD and EU. Even though, there has been some partial improvements as a result of economic and labour market policies, there is a long way to solve the problem significantly and to decrease the anxiety down to reasonable level. Therefore, the countries must continuously monitor and analyze their conditions and create integrated policies suited to socio-economic conjuncture.
Three Local Search Meta-Heuristics for the Minimum Interference Frequency Assignment Problem (MI-FAP) in Cellular Networks
Authors: Lahsinat Yasmine , Boughaci Dalila , Benhamou Belaid
Published: August 2019

The minimum interference frequency assignment problem (MI-FAP) plays an important role in cellular networks. MI-FAP is the problem of finding an assignment of a small number of frequencies to a large number of transceivers (TRXs) that minimizes the interferences level. The MI-FAP is known to be NP-Hard, thus it cannot be solved in polynomial time. To remedy this, researchers usually use meta-heuristic techniques to find an approximate solution in reasonable time. Here, the authors propose three meta-heuristics for the MI-FAP: a variable neighborhood search (VNS) and a stochastic local search (SLS) that are combined to obtain a third and a new one, which is called VNS-SLS. The SLS method is incorporated into the VNS process as a subroutine in order to enhance the solution quality. All three proposed methods are evaluated on some well-known datasets to measure their performance. The empirical experiments show that the proposed method VNS-SLS succeeds in finding good results compared to both VNS and SLS confirming a good balance between intensification and diversification.
New Artificial Neural Network Models for Bio Medical Image Compression
Authors: Kumari G. Vimala , Rao G. Sasibhushana , Rao B. Prabhakara
Published: August 2019

This article presents an image compression method using feed-forward back-propagation neural networks (NNs). Marked progress has been made in the area of image compression in the last decade. Image compression removing redundant information in image data is a solution for storage and data transmission problems for huge amounts of data. NNs offer the potential for providing a novel solution to the problem of image compression by its ability to generate an internal data representation. A comparison among various feed-forward back-propagation training algorithms was presented with different compression ratios and different block sizes. The learning methods, the Levenberg Marquardt (LM) algorithm and the Gradient Descent (GD) have been used to perform the training of the network architecture and finally, the performance is evaluated in terms of MSE and PSNR using medical images. The decompressed results obtained using these two algorithms are computed in terms of PSNR and MSE along with performance plots and regression plots from which it can be observed that the LM algorithm gives more accurate results than the GD algorithm.
Comparative Analysis of MCDM Methods for the Evaluation of Optimum Green Energy Sources
Authors: Bhowmik Chiranjib , Dhar Sreerupa , Ray Amitava
Published: August 2019

The aim of this article is to select the optimum green energy sources for sustainable planning from a given set of energy alternatives. This study examines the combined behavior of multi-criteria decision-making approaches-TOPSIS, MOOSRA and COPRAS are used to evaluate the green energy sources–solar, hydro, biogas and biomass and to identify the optimum source by appraising its functioning features based on entropy probability technique. An illustrative case study is presented in order to demonstrate the application feasibility of the combined approaches for the ranking of optimum green energy sources. The analyzed results show that biogas is the optimum green energy source having the highest score value obtained by combined approaches. The sensitivity analysis shows the robustness of the combined approaches with the highest effectiveness. The study not only considers the various cost criteria but other actors like power generation, implementation period and useful life are also considered to select the optimum green energy sources for future project investment.
MIMO Modes in LTE
Authors: Dixit Saurabh , Katiyar Himanshu , Singh Arun Kumar
Published: August 2019

The multiple input multiple output (MIMO) technology is a key technology for fourth generation (4G) and beyond wireless communications. The MIMO exploits the space diversity to improve performance as well as augment its capacity. Long term evolution (LTE), the dominant 4G standard, operates in diverse MIMO modes, including spatial multiplexing, spatial diversity, and beamforming techniques to combine the advantages of spatial diversity and spatial multiplexing. This article discusses the various modes in LTE and analyses the performance of the single input single output (SISO) and the single input multiple output (SIMO) modes with selection combining (SC) and maximal ratio combining (MRC) at the receiver end. multiplexing (OFDM) is the multiple. The analysis was done on different values of power decay factor and the different number of channel taps. The performance of MIMO configurations for varying power delay profiles and resolvable paths has been analyzed. It is inferred that the higher number of resolvable paths and a low scattering propagating environment augments the performance.
Role of Social Media Promotion of Prescription Drugs on Patient Belief-system and Behaviour
Authors: Mukherjee Samrat Kumar , Kumar Jitendra , Jha Ajeya K , Rani Jaya Rani
Published: August 2019

In the current scenario, extremely little information exists on the uses, benefits, and limitations of social media for health communication among the patients and health professionals. Further, how it is affecting the patient belief system and behavior is even less studied, but it is emerging on the research horizon due to its growing significance in this digital age. This is a review article using a systematic approach. We performed a systematic literature search for papers that address social media–related challenges and opportunities for pharmaceutical drugs. It identifies the needs that propel patients to take recourse to SMPs; the benefits they derive from these and their limitations. This review article confirms that healthcare information provided by the social media sites has been found to be beneficial in many ways for the stakeholders and that it complements existing patient-physician interaction. However, it has limitations that need to be explored and understood to avoid ill consequences.
Exploring Accommodation Cluster and Tourism Development Based on GPS Positioning and GIS Analysis
Authors: Hsueh Ya-Hui , Lin Yi-Ling
Published: August 2019

This research aims to locate a set of points of B&B accommodations on a coffee cultivation area by using GPS positioning and GIS spatial analysis for responding to Porter's concept of industry cluster and to analyze the locational factors of B&B accommodation. Due to the coffee attractiveness, the B&B lodging establishments have sprung up in the area like mushrooms to service more and more tourists for the past 20 years. The spatial cluster of B&B establishments is displayed by specifying a set of GPS positioning points on different GIS raster surfaces to process point density analysis, buffer analysis and terrain analysis. To explore the locational characteristic of B&B establishments, overlay analysis is processed to examine the terrain, landscape, accessibility and tourist attractiveness factors. Instead of focusing on innovation atmosphere, knowledge intensive and technology transfer of new industry cluster factors, this research emphasizes traditional cluster concept of geography proximity on the benefits of agriculture and tourism linkage to available of tourist foods.
Framing Indigenous Knowledge in Digital Context
Authors: Zaman Tariq , Falak Hasnain
Published: August 2019

For more than three decades, designers have been increasingly involved in various design activities through a large number of participatory design projects in indigenous communities. To understand the indigenous information taxonomies, the designers need active participation and engagement of the local community in the design process. Designers are in the continuous quest for methods and tools that can work as “all-in-one solutions.” However, every project is unique, and it is necessary to decide which design approach, method and tool to use in a specific context. This article covers the experiences of the community-driven design process in the development of indigenous knowledge management systems in a rural site of Borneo. The authors' endeavors lead them to question the validity of techniques and interpretations of interactions originating from a Western scientific paradigm and pursue the creation of an indigenous HCI paradigm to frame design methods. It hoped that the experience will help designers to understand the importance of local communities' active engagement in the design process.