bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Pelaksanaan Prinsip Transparansi APBNag Cubadak di Kabupaten Tanah Datar tahun 2020-2022.
Authors: Nafisa Adinda Charisma , Mahendra Bagas Islam , Khoirunnisa Diffa , Wardana M .Afif , Putri Salsa Auliamri , Irawati Irawati , Fajri Mhd
Published: August 2024

Abstract Good governance has now become a standard or paradigm that needs to be applied in governance because good governance is based on principles such as participation, transparency, accountability and efficiency. One of the principles of good governance is transparency, where transparency can be interpreted as an openness of government in managing public resources. Nagari Revenue and Expenditure Budget (APBNag) is a village regulation that makes sources of revenue and allocation of village expenditure within one year. Nagari Cubadak is one of the villages that has a good reputation or report card in terms of transparency in managing the APBNag. This is then the background of this research. This study aims to analyze the implementation of the principle of transparency of the Cubadak APBNag in Tanah Datar Regency for 2020-2022. The approach in this study uses a qualitative approach with data collection techniques using interview and observation methods. The types of data used are primary data and secondary data. Based on the results of the study, the researcher draws the conclusion that the Cubadak Nagari Government has carried out consistent transparency of APBNag management for the last 3 years well. The application of the principle of transparency is also in accordance with the indicators of transparency according to Krina, namely the provision of clear information, easy access to information, establishing a complaint mechanism, and increasing the flow of information through cooperation with the mass media and non-governmental organizations. Keywords: Good governance; Transparency; APBNag
Implementasi Kebijakan Peraturan Daerah Kawasan Tanpa Rokok Dan Terbatas Merokok Kota Probolinggo
Authors: Megayanti Arini Dwi , Natsir Mohammad
Published: August 2024

In an effort to protect the human rights of every human being to be able to breathe fresh and clean air or be free from cigarette smoke, as well as in an effort to improve the health of the people of Probolinggo City while still respecting the rights of smokers, the Probolinggo City Government has issued Probolinggo City Regional Regulation (Perda) No. . .12 of 2012 concerning No-Smoking and Limited Smoking Areas and Probolinggo Mayor (Perwali) Regulation No. 118 of 2021 concerning Implementation Guidelines for Probolinggo City Regional Regulation no. 12 of 2012 concerning No-Smoking and Limited Smoking Areas. After this regulation has been in effect for 11 years, it turns out that there are still many violations of non-smoking areas and restricted smoking areas. This research aims to determine the implementation of Regional Regulations regarding No-Smoking and Limited-Smoking Areas in Probolinggo City and identify obstacles in implementing these Regional Regulations. The research method used in this research is a qualitative descriptive method. Interviews and observations were carried out in the No-Smoking Area (SMA Negeri 1 Probolinggo) and the Limited-Smoking Area (Mayangan Subdistrict, Mayangan District, Probolinggo City). The informants in this research were the Probolinggo City Health Service and the Probolinggo City Civil Service Police Unit.The results of the research show that the implementation of regional regulations in non-smoking areas has gone well, while in restricted smoking areas it has not gone well.
Distribution and systematics of the cosmopolitan Amynthas carnosus complex (Crassiclitellata, Megascolecidae) from eastern Asia
Authors: Han Anne Charis N. , Zhang Yufeng , Miao Pu , Wu Shaolong , Xiao Nengwen , Qin Mingyan , Zhao Huifeng , Wu Donghui , Aspe Nonillon M.
Published: August 2024

Pheretimoid earthworms, Amynthas carnosus, were collected from Northeast and North China. An update on the distribution and systematics of the A. carnosus complex in eastern Asia using both morphological and molecular data is provided. Three subspecies, A. carnosus carnosus, A. carnosus naribunji, and A. carnosus roki, are confirmed. Comparisons of morphological characters between the subspecies of A. carnosus are provided. Our results support the subspecies assignment with an intraspecific K2P genetic distance of not greater than 10% using the mitochondrial cytochrome c oxidase subunit I (COI). In addition, a re-description of the morphology of A. carnosus naribunji is presented here.
First record of the genus Falconina (Araneae, Corinnidae) from Mexico, with a description of a new species and observations on its interactions with ants
Authors: Ibarra-Núñez Guillermo , Marín Linda
Published: August 2024

Falconina cafeterasp. nov. (Araneae, Corinnidae) is described based on specimens of both sexes. Specimens were collected in shaded coffee agro-ecosystems and in a suburban cacao orchard in Chiapas, Mexico. This new species is the first Falconina recorded from Mexico and the northernmost species of the genus in continental America, with the exception of F. gracilis (Keyserling, 1891) introduced to the USA and Cuba. F. cafeterasp. nov. differs from all other Falconina species by having most of its opisthosoma light-colored with some dark patches and by the characteristics of the male palp and female epigynum. Observations are included about one sclerite found in the male palp of this species, not mentioned for other species in this genus. The key of Falconina species by García and Bonaldo (2023) is modified to include this species. Furthermore, field observations and laboratory rearing of juveniles indicate that F. cafeterasp. nov. spiders are able to feed on ants.
Effects of Proprioceptive Neuromuscular Facilitation Technique on Balance Function and Muscle Health in Older Adults With High Fall Risk
Authors: Xiong Xianmei , Zang Jiejin , Zhu Chunfeng , Wei Wei , Wang Ping , Wang Jianjun , Gao Qunfang
Published: August 2024

Purpose:

Older adults frequently encounter health challenges, such as impaired balance and muscle health, which increase risk of falls. The current study investigated the effectiveness of the proprioceptive neuromuscular facilitation (PNF) technique in improving balance and muscle health among older adults with high fall risk.

Method:

A total of 160 older adults with high fall risk were randomized into control and intervention groups. Over 6 months, the control group received standard interventions, while the intervention group received the same interventions and additional PNF training.

Results:

Both groups demonstrated improvements in balance function over time, with the intervention group exhibiting significant improvements in Berg Balance Scale scores, Timed Up and Go test times, and 30-Second Chair Stand Test counts (
p
< 0.05). Bone density significantly increased in the intervention group compared to the control group (
p
< 0.05), although no substantial differences in lower limb muscle mass were observed. Satisfaction rates were higher and fall incidents fewer in the intervention group.

Conclusion:

The PNF technique is effective in enhancing balance function and muscle health in older adults with high fall risk, demonstrating potential in reducing fall risk and improving quality of life among older adults. [
Journal of Gerontological Nursing, 50
(8), 37–44.]
Walking Interventions and Sleep Quality of Persons Living With Dementia and Their Family Caregivers: Effects of Different Walking Companions
Authors: Shih Yen-Hua , Yang Ya-Ping , Chao Hui-Chen , Hsiao Hua-Tsen , Wang Jing-Jy
Published: August 2024

Purpose:

To examine the effect of walking interventions on sleep quality of persons with dementia (PWD) and their caregivers (dyads), and how different companions affect results.

Method:

Forty-five dyads were divided into three groups: a control group and two experimental groups (one with a care attendant, one with a family caregiver). The two experimental groups engaged in 120 minutes of walking per week for 24 weeks.

Results:

A significant improvement in sleep quality was observed among PWD in the family caregiver group (Wald χ
2
= 4.55,
p
= 0.033), whereas there was no improvement in the care attendant group. A slight improvement in sleep quality of family caregivers was also found.

Conclusion:

Findings suggest the importance of creating individualized walking activity plans for dyads, incorporating trust and rapport-building strategies to improve sleep quality. [
Journal of Gerontological Nursing, 50
(8), 46–56.]
High-resolution susceptibility mapping of seismically induced landslides on Ischia island: the 2017 earthquake case study
Authors: Gianardi Roberto , Bisson Marina , Beccaro Lisa , De Ritis Riccardo , Sepe Vincenzo , Colini Laura , Tolomei Cristiano , Cocchi Luca , Spinetti Claudia
Published: August 2024

Ischia island represents the westernmost portion of the Phlegraean Volcanic District (Campania Region, Italy) and is characterized by the presence of Mt. Epomeo, a giant centrally located resurgent volcanic horst. This horst is controlled by fault systems and magmatic dynamics able to generate recurrent seismicity. Such seismicity, associated with the presence of volcanic terrains with different degrees of erodibility, makes Ischia highly subjected to several ground instability phenomena such as landslides. This multidisciplinary study aimed to map the seismically induced landslide susceptibility of the island, taking into account the Md 4.0 earthquake that occurred on August 21, 2017, as a reference seismic event. Eight parameters were isolated as relevant predisposing factors for landslide occurrence and combined, through GIS elaborations, to compute a numerical index (SNAP index) that quantified the seismically induced landslide susceptibility for each 5 × 5 m area. The resulting map, through five classes of susceptibility, highlights that the highest exposed areas are mainly localized along the N–NW flanks of Mt. Epomeo, involving mainly the municipality of Casamicciola Terme. Moreover, the map is discussed considering the spatial distribution of historical and recent seismically induced ground effects, an ERT field survey carried out on significant test sites, and the displacement map obtained by 2015–2022 InSAR data.
Navigating Integration and Emotional Distress During Vulnerable Stages of Life: The Case of Slovenian Repatriates From Venezuela
Authors: Vah Jevšnik Mojca
Published: August 2024

Slovenia has been repatriating persons of Slovenian descent and their immediate family members from poverty-stricken Venezuela since 2019. The article explores the innate, situational, and structural vulnerabilities of the repatriates, focusing in particular on the vulnerabilities affecting their well-being and leading to emotional distress. The vulnerabilities are examined through the lens of time, i.e., before, during, and after the acquisition of the status of a repatriate, and in the context of specific age-related integration challenges. The article shows that their preferred emotional support is provided by the close-knit community of Venezuelan repatriates with whom they share the same language, culture, and experience of repatriation and integration and by the Catholic church through mass, confession, and church gatherings.
Kongresnik John Blatnik v boju za državljanske pravice v ZDA
Authors: Mrđenović Milan , Klemenčič Matjaž
Published: August 2024

Avtorja v prispevku obravnavata delovanje Johna Blatnika, ameriškega kongresnika slovenskega porekla v predstavniškem domu, med letoma 1963 in 1964, ko so sprejemali temeljni zakonski predlog o državljanskih pravicah, ki je odpravil formalno diskriminacijo temnopoltih Američanov. V prispevku je povzeta korespondenca med Blatnikom in volivci 8. kongresnega okraja v Minnesoti, kjer je živelo veliko slovenskih Američanov. Avtorja na kratko povzameta tudi zgodovino rasne diskriminacije v ZDA.
Uredniški uvodnik ob 60. številki revije Dve domovini, razprave o izseljenstvu
Authors: Toplak Kristina , Vižintin Marijanca Ajša
Published: August 2024

Naključno, a s kančkom simbolike, jubilejna številka revije Dve domovini / Two Homelands prinaša tematski sklop na temo duševnega zdravja in migracij. Na prvi pogled obrobna tema je v današnjem svetu nenadnih sprememb in stresnih situacij, ki zahtevajo skrajno prilagajanje migrantk in migrantov in z migracijami označenih skupnosti, zelo aktualna in nujno potrebna znanstvene obravnave. Gostujoča urednica Sanja Cukut Krilić (ZRC SAZU, Družbenomedicinski inštitut) je izbrala pet člankov, ki z različnih tematskih, metodoloških, epistemoloških in disciplinarnih zornih kotov naslavljajo duševno zdravje migrantk in migrantov. V uvodniku v tematski sklop je urednica sistematično nanizala, zakaj so tovrstne teme za raziskovalke in raziskovalce v družboslovju in humanistiki vse bolj družbeno aktualne, pereče in tudi privlačne.Poleg tematskega sklopa so v reviji objavljeni še štirje drugi članki, od tega dva v slovenskem in dva v angleškem jeziku. Ti ponazarjajo večperspektivnost in zapletenost migracijskih procesov, saj obravnavajo tako izseljevanje iz Slovenije kot priseljevanje v Slovenijo v različnih časovnih obdobjih (v sedanjosti in preteklosti), na širše migracijske procese po svetu (Bangladeš, Sudan, evropske in arabske države) in na njihovo raziskovanje (kvalitativno in kvantitativno) na različnih področjih (v 60. številki etnografija, zgodovina, sociologija, izobraževanje, ekonomija).
Artificial Intelligence in Finance
Authors: Abouraia Mahmoud Kamal
Published: August 2024

This chapter provides a comprehensive overview of the opportunities and risks associated with the integration of artificial intelligence (AI) in the domains of banking, investments, and microfinance. Through a detailed analysis of various data sets, case studies, and industry reports, the research highlights the significant impact of AI on enhancing customer satisfaction, improving investment portfolio performance, and promoting financial inclusion for underserved communities. The findings underscore the transformative potential of AI in driving operational efficiency, mitigating risks, and fostering innovation within the financial sector. However, the discussions also underscore the challenges related to data security, ethical implications, regulatory compliance, and workforce transitions that accompany AI integration. The abstract emphasizes the importance of implementing robust governance frameworks, ethical guidelines, and continuous skill development initiatives to ensure responsible AI deployment and sustainable growth in the financial industry.
Beyond the Screen
Authors: Asim Zeeshan , Vasudevan Asokan , Khan Shad Ahmad , Mahmood Mudassar , Yosof Yusri , Muniyanayaka Devarajanayaka
Published: August 2024

Extended reality (XR) technologies are gaining popularity due to their cost-effectiveness and advantageous features. However, there is a need for a comprehensive understanding of numerous ethical dilemmas regarding the effective use of XR for various purposes. Despite the optimistic prospects, this emerging technology has been clouded by uncertain potentialities, resulting in a slower adoption of XR technology than initially anticipated due to some social and physiological implications. Examine potential issues linked to XR technologies, delve into the diverse ethical responsibilities involved, and analyze the underlying factors contributing to those implications. This research demonstrates that the utilization of XR technologies presents four ethical aspects, encompassing social, physiological, environmental, and financial ramifications, alongside privacy vulnerabilities and moral quandaries. The findings of this study lay the groundwork for forthcoming research endeavors aimed at comprehending and tackling the ethical challenges posed by XR technologies.
Ethical Considerations as Limitations of Extended Reality
Authors: Indradevi R. , Venkataswamy K. P. , Saravanan Sathish Arumbi , Mittal Arun
Published: August 2024

Extended reality (XR) includes virtual reality, augmented reality, and spatial computing. It introduces a spectrum of immersive technologies with the potential for pathbreaking interactions and unique digital engagement. In the case of online retailing, XR is crucial for personalization, interactivity, and information acquisition. The present study focuses on ethical considerations as limitations of extended reality. The sample size chosen for the study was 289 retail consumers. The sampling method used was judgement sampling. The data analysis was conducted with the help of exploratory factor analysis (EFA) and multiple regression analysis (MRA) and artificial neural network (ANN). It was found that the ethical dimensions of XR such as privacy concerns, informed consent, security risks and psychological impact significantly influence the wise use of XR by consumers.
AI-Powered HR Technology Implementation for Business Growth in Industrial 5.0
Authors: T. Thangaraja , Maharudrappa Maheshkumar , Bakkiyaraj M. , Johari Lalit , E. Uma Maheswari , Muthuvel S.
Published: August 2024

Industrial 5.0 is a transformation where advanced technologies merge with traditional manufacturing processes, transforming the role of human resources (HR) in driving organizational growth. AI-powered HR technology is integrating automation, IoT, and AI into traditional industrial frameworks, improving efficiency, productivity, and agility. The benefits like optimized talent acquisition and personalized employee experiences are served by HR solutions. HR functions, such as streamlining recruitment processes, providing insights into workforce dynamics, and fostering a culture of continuous learning, are revolutionized by AI. Talent management and succession planning, while personalized training modules enhance employee skills and innovation, have been performed by AI-powered analytics. AI is also used to improve strategic capacities by facilitating data-driven decision-making, which gives HR directors the ability to foresee skill shortages, reduce risks, and proactively promote organizational growth.
Fog and Cloud Computing Integration With Intelligent Surfaces and Recent Advances
Authors: C. R. Komala , Vaithianathan V. , Kumar K. J. Jegadish , Vijayakumar S. , M. A. Gunavathie
Published: August 2024

Intelligent surfaces' combination of fog and cloud computing is a major breakthrough in digital infrastructure. In this chapter, these two realms work in concert, emphasizing how intelligent surfaces serve as linkages to close the gap. It explores the basic ideas of fog and cloud computing and their functions in dispersed systems and intelligent surfaces. Real-time analytics, predictive maintenance, user experiences in smart cities, healthcare, and industrial automation are discussed because integration has the potential to revolutionize industries. However, there are obstacles to overcome, such as security worries, interoperability problems, and standard protocols. The stakeholders may utilize current advancements and best practices to accelerate digital transformation and create a new linked world.
Immersive Learning Experience for Design Education in the Lens of Education 4.0
Authors: Kandemir Ozge , Ulusoy Gökhan , Kandemir Celal Murat
Published: August 2024

The fourth industrial revolution creates a digital world that enables the activation of intelligent systems, allowing virtual and physical systems to cooperate flexibly with each other. This world, designed on ICT, blurs the lines between physical and virtual, and makes it necessary to develop educational environments by digital technologies. This development is described as Education 4.0. Integration with the education fields in general, and design fields in particular, into Education 4.0 requires acquiring new skills and competencies. The social transformation experienced with Industry 4.0 requires solving rapidly changing, more numerous, and complex problems and meeting changing needs. So, the study aims to reveal the characteristics of Education 4.0,and what kinds of technological infrastructure required for it. In particular, it stands out with its potential for developing design education within the Education 4.0 framework. It aims to reveal immersive technologies and their types, technology-based immersive experiences, immersive learning experiences, and the opportunities of these experiences for design education.
Internet of Things (IoT) Technologies With Intrusion Detection Systems in Deep Learning
Authors: Goldena Nancy Jasmine , Subashree Rashia
Published: August 2024

In the era of the internet, 5G is the super-fast network unified with mobile phones and communication devices, with a good bandwidth spectrum to transform information. The combination of IoT devices with 5G technologies facilitates quick and seamless data transformation. This expansion fosters connectivity, operational efficiency, and intellectual development. An intrusion detection systems (IDS) is an efficient tool for network security that keeps an eye on malicious activities or security policy violations under surveillance to detect anomalies in devices. The early part of the chapter deals with the integration of 5G technologies with IOT devices. The chapter also emphasize the role of collaboration between IDS and emerging technologies in deep learning (DL). The integration of intelligent algorithms enhances detection accuracy and enables adaptive responses to evolve the security threats in real-time. In conclusion, the insights provided in this chapter aim to understand the Research gap in DL IDS and the pivotal role played by IDS in ensuring a resilient and secure IoT environment.
Design of Patch Antenna and Its Implementation in Spatial Multiplexing for 5G NR Applications
Authors: Krithiga S. , Vijayalakshmi Dhinakaran , Dayana R. , Vadivukkarasi K.
Published: August 2024

This chapter proposes a microstrip patch antenna suitable for 5G NR applications operating at 66 GHz. This frequency range lies in mm-Wave spectrum, also called as high band spectrum that has the advantage of very high speed over short distance. The antenna has been designed with a reflector grid which provides increased efficiency at less cost. This antenna design has been developed to the next stage as an antenna array with 64 elements, which yields improved directivity. The proposed design employs row and tapered column tapering providing a better input impedance matching for wider frequency range. Directivity of 20dB has been obtained through this proposed antenna design with Kaiser windowing technique. The spatial multiplexing increases data rate within a limited bandwidth. The simulation results have shown that the designed antenna will be suitable for 5G systems offering a higher data rate in the range of gigabits per second
Privacy Preserving Data Aggregation Algorithm for IoT-Enabled Advanced Metering Infrastructure Network in Smart Grid
Authors: Sundarraj Subaselvi
Published: August 2024

The integration of emerging IoT (internet of things) technologies into utility control centers have data exchange between smart appliances, smart meters (SM), data collector (DC) and control center server (CCS). The DC controls the receiving and processing of advanced metering infrastructure (AMI) applications data from multiple SM. To address the issues associated with DC, SM are proposed to act as a relay device. The SM face communication challenges during peak hours when a significant amount of data with varying traffic rates and latency is exchanged within the utility control center. The challenges related to AMI in the context of smart grids focus the role of DC and hybrid data aggregation strategy. A hybrid data aggregation strategy is implemented on a cluster head aggregator (CA) within a clustering topology and the aggregated data are sliced to ensure privacy is proposed. In the proposed algorithm, CA reduces the workload of cluster-head (CH), targets interval meter reading (IMR) application data for aggregation, and efficiently utilizes the constrained resources of AMI devices are evaluated using the network simulator.
Prospects of Network Function Virtualization (NFV) and Software-Defined Networking (SDN) Techniques for Smart Grid Cyber Defense
Authors: Mariyappan Isai Vani , Kavitha V. , Aravindaraj R. , Chockalingam Sonia C. , Guerrero Josep M.
Published: August 2024

In the enormous growth of smart grid technology, the integration of 5G architecture network technology offers many advantages such as real-time data processing, improved communication facilities, safe data transfer, improved privacy, and diversified services. Yet, it leads to new cybersecurity problems that need to be addressed to ensure the smooth operation of the smart grid. This chapter outlines an extensive study of state-of-the-art network function virtualization (NFV) and software-defined networking (SDN) cybersecurity techniques in smart grid applications. NFV and SDN are key perceptions in the development of 5G networks, promoting flexibility, scalability, programmability, and centralized control over network resources. NFV, along with SDN, promotes the transformation of telecommunication networks, enabling them more adaptable, scalable, and capable of facilitating the diverse services envisioned in the 5G era, protecting critical energy infrastructure from cyber threats.
Implementing Secure Machine Learning
Authors: Shanthi J. , Rajalakshmi M. , Rani D.Gracia Nirmala , Muthulakshmi S.
Published: August 2024

This chapter investigates integrating a decision tree algorithm to boost smart grid stability within the 5G and fiber optics security framework. It stresses robust cyber defense for critical infrastructure, using machine learning, especially decision trees, to analyze smart grid stability data. Steps involve thorough data preprocessing, algorithm justification, model training, and evaluation. Visual aids aid interpretation. The chapter ends with future research suggestions, underlining machine learning's evolving role in enhancing security.
Wireless Interference Identification in 5G Smart Networks
Authors: Bilal Rabia , Khan Bilal Muhammad
Published: August 2024

In the rapidly evolving landscape of 5G communication, the identification and mitigation of wireless interference is paramount to maintaining the integrity and efficiency of data transmission. This chapter delves into the intricate process of wireless interference identification, emphasizing its critical role in the predictive analysis of modulation classification and the implementation of adaptive modulators. The discussion begins with a comprehensive overview of 5G architecture, and the inherent challenges posed by dense signal environments. Key techniques for interference identification are explored, including advanced machine learning algorithms and spectrum sensing methods that enable real-time detection and characterization of interference sources. The chapter then examines how these identification techniques inform the predictive analysis of modulation classification. By accurately predicting the modulation scheme of incoming signals, the system can adaptively adjust its modulator settings, thereby optimizing performance and minimizing error rates.
Green Computing-Based Optimization Technique for Sustainable Educational Center With Hybrid Renewable Energy Sources
Authors: Prasad Dharmbir , Singh Rudra Pratap , Rizwan Ariba , Verma Shubham , Khan Md. Irfan
Published: August 2024

In recent years, there has been a significant rise in the global adoption of renewable energy sources. Many steps are being taken to reduce the carbon footprint of major rising economies in order to achieve environmental sustainability. A significant goal in this direction is the zero emissions target. In Panagarh, a progressive view of opportunities and innovations is created by the intersection of education, technology, and renewable energy. The present study examines Panagarh's educational electrification by using technology and offer renewable energy power generation. In the proposed location, Panagarh, the electricity requirement is 3 MW. The proposed system combination of solar, wind, and grid produce 7,108 kWh; where the PV generates 454 kWh, the wind turbine generates 4,539 kWh, the grid purchased is 1,001 kWh, and the grid sales are 2,999 kWh. Here, CO2 emissions of the system are 32.0 kg/year. The economic metrics are ROI 12%, IRR 15%, and a simple payback of 11.77 years. This research provides an overview of green power generation with lesser emissions and offers affordable green power in Panagarh, West Bengal, India.
Green Human Resource Management and Economic Performance
Authors: Nair Sridevi , Sampath Sanjana
Published: August 2024

Incorporating environmentally friendly practises into a company's human resource management policies and plans is known as green human resource management (GHRM). While green HRM has been accepted as a tool to promote sustainability and improve environmental performance in the organization, its impact on economic performance is far less explored. Based on literature, the researchers propose a direct impact of green HRM practices on economic performance and an indirect impact, mediated by OCBE. The current study is based on data collected from working professionals in India. The final dataset consisted of 224 respondents, and the analysis of the data was conducted in SPSS and R. The findings suggest that green HRM practices have a significant impact on the economic performance of an organization. Thus, in addition to promoting environmentally friendly practices, green HRM practices are also financially beneficial and can improve productivity of the organization.
Integrating the Sustainable Supply Chain With Renewable Energy
Authors: Bentalha Badr
Published: August 2024

Economic development and energy consumption are temporally correlated. Renewable energy can help overcome contemporary and future pressures, contributing to sustainable development. The aim of this chapter is to provide an integrated multi-criteria decision-making framework based on the fuzzy approach for sustainable chain development in the renewable energy sector. The proposed framework encompasses all components of the photovoltaic supply chain, from raw material suppliers to distribution operations. The framework is based on the characteristic triple bottom line triad (social, economic, and environmental). A literature review is used to identify and evaluate sub-criteria for each dimension, followed by prioritization and operationalization using the fuzzy method. The results show a preponderance of economic indicators, the complementarity of the indicators selected, and the potential for integrating a global approach to photovoltaic supply chain management.
IR5.0 Eco-Future Building Sustainability for Tomorrow's Humanity
Authors: Alhakimi Asmaa Mahfoud
Published: August 2024

The rapid growth of technology has enhanced wireless communication with faster data transfer, lower latency, and improved energy efficiency. However, the environmental impact cannot be overlooked. Wireless device production, usage, and disposal contribute significantly to e-waste, greenhouse gas emissions, and resource depletion. IR5.0 offers an opportunity to address these issues with sustainable practices like renewable energy, energy-efficient hardware, and eco-friendly manufacturing. It can revolutionize industries like agriculture, healthcare, and transportation through real-time data transfer and automation, reducing resource consumption and emissions. Achieving sustainability in IR5.0 requires collaboration among policymakers, industry leaders, and consumers, advocating for regulations, investments, and demand for sustainable practices. The 'IR5.0 Eco-Future' initiative stresses the collaborative approach needed for a sustainable future by integrating eco-friendly practices into technology development.
Rethinking Higher Education in a New Digital Era
Authors: Yun Wong Sing , Fu Sai Hoe , Surianshah Sarimah Binti , Yassin Jain , Juhan Nurliyana Binti
Published: August 2024

Education witnessed tremendous changes with the rapid digitalization, which revolutionized conventional approaches and opened up new avenues for interaction between educators and students. While there is no doubt that digitalization has created new potential, it poses some critical hurdles that are in need of urgent addressing. In light of this, this chapter will delve into analyzing the changes of teaching and learning under a new digital era by particularly drawing focus on the higher education system in Malaysia. Next, a review will be provided on the impact of such changes on the learners as well as on the educators. In addition, the authors examine the obstacles encountered and benefits that can be obtained with the evolution of education under digitalization pressure. It is increasingly imperative for us to re-evaluate institutional structures, educational policies, and the overarching goals of higher education. With the embracement of the potential digital technologies, educators and policymakers can collaboratively design a future-proofed educational landscape.
Understanding Timor-Leste's Energy Transition
Authors: Simões João
Published: August 2024

This chapter explores the energy transition outlook in Timor-Leste, a small island developing state located in Southeast Asia. It examines various aspects, such as the country's energy national policies and international cooperation. The central research question guiding this analysis is: What are the challenges faced by Timor-Leste in its pursuit of energy transitions? To address this question, the chapter draws insights from scientific and grey literature, as well as official national development plans and policy documents. Timor-Leste enjoys abundant sun, water, wind, and sea wave resources that could meet its energy needs. The prospects for full integration in the ASEAN position the country favorably for energy transitions. Nevertheless, this chapter highlights the limitations and difficulties associated with national energy transitions within the specific context of Timor-Leste. By shedding light on these challenges, the chapter aims to contribute to a broader understanding of energy transitions in developing states.
Advancing Sustainable and Green Development
Authors: Taera Edosa Getachew , Lakner Zoltan
Published: August 2024

This chapter explores sustainable and green development, integrating environmental, social, and economic issues for a brighter future. It defines these concepts, examines their evolution, and discusses various approaches for implementing sustainable practices across industries. The chapter also addresses issues, laws, regulations, and obstacles related to these concepts, emphasizing the complex connection between environmental preservation and economic growth. It presents case studies and policy proposals to promote a sustainable and green future, emphasizing the need for holistic approaches in designing policies and practices.
An Interdisciplinary Study on the Nexus of English Language, Social Psychology, and Emerging Global Economy
Authors: Özyurt Sinan , Kalgı Mehmet Emin
Published: August 2024

This study examines the interrelationship between English language, social psychology, and global economics. In this sense, through the present study, it is aimed to highlight their joint impact on behavior and societal norms. As the global lingua franca, the role of English in cultural adaptation and economic decision-making is investigated in order to reveal how linguistic proficiency and psychological factors influence economic behaviors and trends in a global context. The research delves into the effects of globalization and technology on language use and psychological well-being, suggesting that the synergy among these elements shapes economic resilience as well. By integrating insights across various disciplines, the findings propose a number of effective strategies for promoting economic growth and social cohesion by offering valuable implications for policymakers and business leaders aiming at inclusive global development and economic resilience.
Descriptive Analysis of Maize Characteristics
Authors: Vučkovski Biljana Grujić , Marina Irina
Published: August 2024

In this chapter, the authors followed the trend of the movement of maize according to selected variables: harvested area (in ha), production (in t), and the value of maize exports (thousand USD). The movement of these variables was observed in the example of twenty-seven European countries that have available data in the period from 2010 to 2022. The aim of the research was to determine the changes that occurred in the analyzed countries during the observed time period and according to the variables in terms of growth and/or reduction of average indicator values. The basic source of data was the FAOSTAT database, but also other relevant scientific and professional literature. The results of applying descriptive statistics showed that the greatest deviation from the arithmetic mean was recorded in the value of maize exports (Cv = 209.3493), while the Pearson correlation coefficient showed that the strongest correlation was between production and area harvested of maize (.955). Finally, a conclusion was given according to the graphic presentation in the form of a trend line of maize production.
Green Logistics and Supply Chain Management
Authors: Muchenje King Christopher
Published: August 2024

This chapter explores the importance of incorporating ecological considerations into the logistics and supply chain management sector, known as “green logistics.” It discusses various strategies, technologies, and initiatives that organizations can implement to reduce their carbon footprint, improve operational efficiency, and achieve long-term environmental sustainability goals. The chapter provides an overview of the environmental challenges associated with transportation activities in the supply chain and highlights the significance of sustainable transportation solutions. It examines the principles and strategies of green transportation, including fuel efficiency, alternative fuels, and propulsion technologies. Additionally, the chapter discusses the role of logistics collaboration and optimization in creating eco-friendly supply chains, focusing on consolidation centres, route optimization, and last-mile delivery strategies to minimize inefficiencies and maximize resource utilization.
Leveraging Alternative Energy Sources to Enhance Sustainable Transportation
Authors: Chikwere David , Chibaro Munyaradzi , Govere Ephraim
Published: August 2024

As the world grapples with the challenges of climate change and the depletion of fossil fuel reserves, the transition towards sustainable transportation has become imperative. Various alternative energy options to enhance sustainable transportation such as solar, wind, hydroelectric, biofuels, and hydrogen, highlighting their potential to mitigate greenhouse gas emissions needs to be explored. Real-world cases drawn from various international contexts were examined to offer important insights into how sustainable mobility practices may be supported by alternative energy solutions. Some challenges in transitioning to sustainable transport systems which include energy efficiency, scalability, infrastructure needs, and environmental impact were identified. This introduction explores the potential of alternative energy sources in enhancing sustainable transportation, focusing on their advantages, challenges, and transformative impact on promoting greener, more equitable, and efficient mobility solutions. The remainder of the chapter is described as follows: Section 2 presents the electric vehicles (EVs) applications. Section 3 reviews hydrogen fuel technology. Section 4 examines the biofuels energy. Section 5 presents the environmental impacts and benefits of alternative energy sources. Section 6 explains ways of overcoming challenges and adoption while Section 7 finally concludes the chapter by discussing case studies and best practices on alternative energy sources.
Driving Towards Emission-Free Urban Centers
Authors: Munuhwa Shakerod
Published: August 2024

Cities worldwide are under increasing pressure to reduce greenhouse gas emissions and transition towards emission-free urban centers. The focus is on Glasgow, Scotland, as a case study in striving for emission-free road transport. Insights are gleaned from Glasgow's efforts, challenges, and accomplishments, providing valuable guidance for cities worldwide to lead the charge towards sustainable, emission-free transportation systems. Key elements explored include innovative policies promoting electric vehicle adoption, expansion of public transport infrastructure, and initiatives to incentivise sustainable mobility choices. Challenges such as infrastructure gaps, funding constraints, and behavior change barriers are also addressed. The lessons from Glasgow's experience offer actionable guidance for urban planners, policymakers, and stakeholders seeking to replicate and scale sustainable transport initiatives. The chapter contributes to the global discourse on achieving emission-free urban centers, pioneering transformative change towards a sustainable future.
Urban Car Parking Puzzle in the UK
Authors: Munuhwa Shakerod , Chikwere David , Chibaro Munyaradzi
Published: August 2024

This chapter explores the challenges of urban car parking in the UK, focusing on the scarcity of parking spaces and high user fees. Increasing vehicle ownership and limited space have led to congestion and inefficiencies. The chapter examines root causes, such as urban planning constraints, economic factors, and regulatory shortcomings, by evaluating strategies in various UK cities. Using empirical analysis and case studies, it offers a comprehensive overview of the current parking landscape, drawing insights from successful international models. Policy recommendations aim to enhance accessibility, affordability, and sustainability in urban transportation by optimising space use, integrating technology, and encouraging alternative modes. The chapter seeks to influence policy and planning decisions, promoting a more sustainable urban environment and serving as a resource for policymakers, urban planners, and stakeholders in the UK.
Adoption of Electric Vehicles Among the Buyers of India
Authors: Rawat Bhumika , Indapurkar Kavita
Published: August 2024

Electric vehicles are causing a shift in the automotive industry as a sustainable way to tackle the issues brought on by depleting fossil fuel reserves. Studies point to a spike in CO2 emissions, highlighting how urgently EV development must proceed. Compared to conventional cars, electric vehicles (EVs), driven by electric motors, have fewer fossil fuel and pollution costs. Widespread adoption, however, will come with challenges from consumer behavior and infrastructure constraints. The study attempts to examine different factors that affect India's adoption of electric vehicles such as issue of range anxiety, affordability, infrastructure, etc., and investigates the barriers preventing EV adoption through examining popular perceptions towards them, including concerns about performance, charging infrastructure, and environmental benefits. This research endeavors to explore the effectiveness of government programs in encouraging EV adoption.
The Rise of Two-Wheeler Electric Vehicles in India
Authors: Manda Vijaya Kittu , Mampilly Akhil John , Gupta Vivek , Nammi Lalitha
Published: August 2024

Sustainable transportation practices are essential for any country. Electric vehicles and their infrastructure can substantially impact the greenhouse gas emissions of a country. India recently witnessed an enormous upsurge in its two-wheeler electric vehicle (2WEV) manufacturing capabilities and sales. The key drivers of growth in the 2WEV sector, such as rising fuel costs, government subsidies and policies promoting electric mobility, falling battery prices, and technological improvements, are discussed. The current size of the Indian 2WEV market and its projected future growth are studied. It also profiles major players in the 2WEV space and technological advancements that have made EVs more viable alternatives to petrol-powered vehicles. Government schemes like FAME and other policies impact the 2WEV sales. It also highlights the importance of EV infrastructure, backward integration, and the EV index in promoting the growth of the 2W EV segment. The case of a pioneering startup in the 2W EV industry illustrates the entrepreneurs' challenges and opportunities in this field.
A New Era of Engagement and Satisfaction
Authors: Sharma Ridhima , Sachdeva Timcy , Singh Amrik , Nadda Vipin
Published: August 2024

This study explores the capacity of Artificial Intelligence (AI) to revolutionize the customization of marketing tactics. This study delves into the fundamental principles of customer engagement and investigates the capability of AI to provide relevant and focused marketing experiences. AI can personalize communications by monitoring customer behavior and demographics, which improves engagement and influences decision-making. This theory explores the use of game mechanics to engage and incentivize users. Artificial intelligence has the ability to tailor gamified marketing experiences by personalizing rewards and challenges according to the specific tastes of particular customers. This leads to a deeper and more meaningful degree of engagement. Algorithms have the ability to forecast individual preferences and actions by evaluating vast amounts of consumer data. This allows for the development of content that connects with certain customer groupings, provides product suggestions, and delivers focused advertising.
AI-Driven Strategies for Customer Engagement, Market Segmentation, and Resource Optimization
Authors: Singh Bhupinder , Kaunert Christian
Published: August 2024

With the development of AI, several sectors have undergone radical change thanks to the availability of advanced tools for data analysis and decision-making. Artificial intelligence has unparalleled prospects for augmenting efficacy and efficiency in the domains of client interaction, market classification, and resource allocation. AI-driven chatbots improve customer service efficiency by answering questions, handling tasks, and offering round-the-clock assistance. These chatbots are equipped with natural language processing (NLP) to comprehend and react to client inquiries. It looks at how AI-driven tactics might boost consumer satisfaction, streamline corporate processes, and allocate resources more effectively. Businesses may tailor marketing campaigns, handle resources more effectively, and obtain a better understanding of consumer behavior by utilizing machine learning algorithms, natural language processing, and data analytics. This chapter examines how artificial intelligence (AI) is revolutionizing market segmentation, resource management and consumer interaction.