bluuebunny/crossref_metadata_2025 huggingface dataset:
ADVANCES IN THE DESIGN AND OPTIMIZATION OF SMART IRRIGATION SYSTEMS FOR SUSTAINABLE URBAN VERTICAL FARMING
Authors: Bakirov Kuanysh , Tussupov Jamalbek , Tultabayeva Tamara , Makangali Kadyrzhan , Abdikerimova Gulzira , Yessenova Moldir
Published: December 2024

Urban vertical farming has emerged as a sustainable and innovative approach to addressing the increasing global demand for food in rapidly growing and densely populated cities, where traditional agriculture faces significant challenges due to space and resource constraints. A primary issue in these systems is the efficient management of critical resources, particularly water and energy, which are essential for maintaining high crop productivity and environmental sustainability. This study introduces, develops, and evaluates a mathematical model that integrates Internet of Things (IoT) technology to optimize water and energy usage in a hydroponic vertical farming setup. The model utilizes real-time environmental data collected from IoT sensors to dynamically adjust irrigation and energy consumption, ensuring minimal waste while sustaining optimal conditions for plant growth. Extensive simulations conducted using Python demonstrate substantial improvements in Water Use Efficiency (WUE) and significant energy savings, validating the model’s effectiveness. The study also presents practical case studies from regions like Singapore, Qatar, and Malaysia, showcasing how the integration of renewable energy sources, such as solar photovoltaic panels, with advanced smart irrigation technologies can lead to up to 50% growth rate improvements. Despite existing challenges, such as high initial capital investments, technical complexities, and the need for continuous maintenance, the findings indicate that modular and scalable system designs offer a promising path forward. Future research should aim to reduce overall costs and enhance system adaptability for various urban environments. Ultimately, this research provides a scalable and efficient framework for advancing urban agriculture, with the potential to contribute significantly to global food security and promote the sustainability of urban ecosystems.
COMPARATIVE ANALYSIS OF THE EFFECTIVENESS OF NEURAL NETWORKS AT DIFFERENT VALUES OF THE SNR RATIO
Authors: Kulakayeva Aigul , Tikhvinskiy Valery , Nurlankyzy Aigul , Namazbayev Timur
Published: December 2024

This work is devoted to a comparative analysis of the effectiveness of neural networks, CNN and RNN, at different SNR ratios.  The research conducted within the framework of this work showed that CNN convolutional neural networks demonstrate higher efficiency in speech signal recognition tasks, regardless of different levels of SNR ratio and language. Thus, the CNN neural network showed stable superiority over RNN under all conditions, especially at low SNR ratios. It was revealed that with an increase in the SNR ratio, the difference in accuracy between the CNN and RNN neural networks decreases, but the CNN continues to lead, which indicates its higher adaptability and ability to learn under conditions of different noise and interference levels. It is especially important to note that the advantage of CNN becomes noticeable at low SNR values, where the accuracy of the RNN decreases more significantly. As a result, with an SNR ratio of 3 dB, the recognition accuracy using CNN was 80% for the Kazakh language, whereas RNN showed a result in the region of 75%. With an increase in the SNR ratio to 21 dB, the difference in accuracy between CNN and RNN decreased, but CNN continued to lead, reaching 88% accuracy compared to 86% for RNN. In addition, the results showed that the effectiveness of the CNN and RNN depended on the language in which they were trained. Neural networks trained in Kazakh showed the best results in recognizing Kazakh speech but also successfully coped with recognizing the Russian language. This highlights the importance of considering language features when developing and training neural networks to improve their performance in multilingual environments.
The Influence of Organizational Culture and Work Environment on Job Satisfaction of Sharia Insurance Employees in Surabaya
Authors: Riduwan Riduwan
Published: December 2024

Employee satisfaction is an important factor that can influence organizational productivity and performance. This research aims to analyze the influence of organizational culture and work environment on employee satisfaction. The research method uses a quantitative approach with data collection techniques using questionnaires. The research sample was 50 employees of Sharia Insurance Companies in Surabaya. The data analysis technique uses multiple regression analysis and classical assumption tests consisting of normality tests, multicollinearity tests and heteroscedasticity tests. The results of the analysis show that both organizational culture and work environment have a significant positive influence partially and simultaneously on employee satisfaction
Primary Cuff Repair Augmented With a Balloon Spacer in a Large and Massive Rotator Cuff Tear Series: A Technique and Short-term Outcome and Imaging Study
Authors: Wong Seng Juong , Lie Hannah M. , Bin Massuryono Muhammad Danish , Wong Nicholas H. P. , Lie Denny T. T.
Published: December 2024

Massive rotator cuff tears are a challenge for patients and surgeons. We explored the outcomes of patients with massive rotator cuff tears primarily treated with primary cuff repair augmented with a subacromial balloon spacer. The mean age of the patients was 64.3 years, with 24 (71%) having massive cuff tears and the remaining 29% having large cuff tears. Most patients (61%) exhibited significant fatty atrophy (at least grade 3 Goutallier). At 6 months, patients showed improved Constant score, UCLA score, and Oxford Shoulder Score. Pain scores also significantly decreased. A phase 1 study of postoperative imaging indicated balloon disintegration in 50% of cases at 6 weeks. Augmenting primary cuff repair with a subacromial balloon spacer demonstrates promising short-term outcomes. Our postoperative images suggest that balloon disintegration may occur as early as 6 weeks. We recommend caution in using a balloon spacer as a standalone therapy. [
Orthopedics
. 2025;48(1):e56–e61.]
Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data
Authors: Carlos Wallace Camacho , Copetti Alessandro , Bertini Luciano , Moreira Leonard Barreto , Gomes Otávio de Souza Martins
Published: December 2024

The field of human activity recognition, abbreviated as HAR, benefits significantly from deep learning by addressing the complexity of human behavior and the vast volume of data produced by sensors. This work adopted the strategy of converting inertial data, such as accelerometer and gyroscope signals, into 2D images through recurrence plots. This approach facilitated the effective exploration of data input and neural network architectures. By utilizing the recent history of movements as input for the models, this study evaluated the impact of this methodology on HAR using two adapted architectures: 2D convolutional neural networks combined with long short-term memory layers (2D CNN-LSTM) and standalone 2D convolutional neural networks (2D CNN). Their performances were compared with other state-of-the-art deep learning models. The contributions of this study were threefold: the handling of input data, the development of the two network architectures for HAR, and the high accuracy achieved, ranging from 97% to 98%, on the public University of California, Irvine human activity recognition dataset (UCI-HAR). These results highlighted the benefit of incorporating temporal data to enhance accuracy in activity classification.
Callimachean Criticism in Anaximenes SH 45 and Choerilus of Iasos SH 333
Authors: Perale Marco
Published: December 2024

This article traces the relics of Callimachean criticism in the testimonia to the work of Anaximenes of Lampsacus and Choerilus of Iasos, portrayed either as poet-sycophants or authors of bad quality poetry. It assesses the profile of Anaximenes as an epic writer and investigates the origin and dynamics of the confusion between Choerilus of Iasos and Choerilus of Samos in late Hellenistic and Imperial witnesses. It concludes that the negative judgment on Choerilus of Samos formulated by Istrus, a disciple of Callimachus, may have been wrongly transferred to Choerilus of Iasos and that it influenced later critics and writers’ perception of the latter.
A Qualitative Inquiry on Synchronous Virtual Exchange Interactions in an Interdisciplinary ESP Context
Authors: Kalyaniwala Carmenne
Published: December 2024

This paper seeks to underline the features of synchronous virtual exchange interactions that took place in English during an interdisciplinary transnational virtual exchange arranged between French and Spanish students in 2021. During their ten-week collaboration, twenty‑two law students from the Université de Lorraine (France) and nineteen business English students from the Universitat de València (Spain) used their legal and business expertise in jointly creating a promotional video for a fictionally created start-up. A limited sample size of empirical qualitative data drawn from the transcripts of five synchronous exchanges were analysed at two levels for this study. The first level of analysis was thematic and revealed the different ESP (and other conversational) themes in both the 2D and 3D modes of interaction. The second level of analysis identified discursive sequences as the principal unit of analysis. This revealed that while a 3D environment can facilitate interaction by providing the tools learners need to summarize a text orally and explain key ESP concepts in simple English, learners need to rely on their own language skills when it comes to interacting in 2D environments.
Preservation of Culinary Heritage and Cultural Tourism
Authors: Ghose Anuttama , Ali SM Aamir
Published: December 2024

Cheese tourism, a specialized kind of culinary tourism, has gained significant attention from researchers throughout the globe in recent years. Geographical indications and appellation of origin safeguard the names of items that come from certain locations and possess distinct traits or a reputation associated with the manufacturing area. Additionally, their objective is to enhance the distinctive attributes of goods associated with their regional origin and traditional expertise. Cheese is produced from milk sourced from animals that graze and eat on the same land, preserving the authenticity from the farm to the table. Cheesemakers play a crucial role in safeguarding this distinctive legacy. This research seeks to analyze the effects of Geographical Indication protection on various types of cheese and its implications for cultural tourism in a critical manner. This study aims to clarify the complex importance of keeping cultural identity in a globalized society by analyzing the relationship between legal frameworks, cultural preservation, and economic growth.
Creating Cheese Tourism from Scratch
Authors: Koutoulas Dimitris
Published: December 2024

The Diaseli Traditional Cheesery was launched on the Greek island of Ios in 2020, constituting the country's first case of cheese tourism. What used to be a small, century-old traditional goat farm producing cheese by hand was reimagined as a modern food tourism experience aimed at attracting visitors. By introducing the Diaseli brand, the Haros family made the transition from the agricultural to the tertiary sector. A new section was added next to the cheese manufacture comprising a small museum and a cheese-tasting space, thus reinventing the farm as a visitor attraction. Despite the fact that this undertaking was made during the Covid pandemic, the launch of Diaseli proved to be highly successful by attracting a larger than expected number of visitors, generating new income streams for the family and making the farm far more profitable than before. The case study of Diaseli describes the steps taken, the success factors and the lessons learned during such a deeply transformational process.
Gastronomy, Cheese, and the Contributions of Maketing to Territorial Identity
Authors: Sousa Bruno Barbosa , Santos Vasco Ribeiro
Published: December 2024

Tourism is an activity strongly characterized by different motivations and specific interests. In this sense, tourist destinations and territorial stakeholders are paying attention to attributes (e.g. gastronomic heritage) as a preponderant element of territorial management and brand awareness (e.g. city marketing, place marketing, internal marketing, relationship marketing). Cheese tourism has been of particular interest to the marketing and tourism academic community. Portugal, and “Queijo da Serra” in particular, is a tourist product much appreciated by visitors and an important destination brand attribute in the Portuguese context. The chapter aims to present a brief theoretical and exploratory reflection of this product for the niche tourism literature (specifically, cheese tourism). From an embryonic perspective, the chapter presents insights for tourism, internal marketing and territorial management.
Real-Time Anomaly Detection in IoT Networks Using Deep Neural Networks
Authors: Isaac Lydia D. , Mohanraj V. , Sathiyamoorthi V. , Prasuna K. , Kalipindi Murali
Published: December 2024

The increasing proliferation of Internet of Things (IoT) devices has revolutionized various industries, leading to enhanced efficiency and convenience. However, this rapid expansion has also exposed IoT networks to a wide range of security threats, including anomalous activities that could compromise the integrity and confidentiality of data. In answer to this problem, this study provides a unique method for real-time anomaly identification in IoT networks utilizing deep neural networks. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are two common neural network models that we examine while optimizing hyperparameters for high accuracy and real-time performance. We utilize a carefully curated dataset containing various IoT network traffic scenarios to evaluate the proposed approach. We evaluate the real-time capabilities of our deep learning model by contrasting its performance with that of conventional anomaly detection techniques.
AR and VR in Health Expansions and Medical Education
Authors: Singh Bhupinder , Kaunert Christian
Published: December 2024

The advent of augmented reality (AR) and virtual reality (VR) technology has completely changed health expansions and medical training. The in-depth analysis and compilation of these technologies noteworthy contributions shows how they have the ability to significantly increase student performance and engagement as well as educational outcomes. The use of haptic feedback technology is an important advancement in medical education. With providing a very lifelike simulation of clinical operations, haptic interfaces, which enable tactile engagement in virtual environments, are redefining the acquisition of surgical skills. AR and VR technologies are changing education by fusing interactive experiences with real-world applications in ways that conventional lecture-based techniques are unable to do that. This chapter focuses on how immersive VR and AR technologies, in medical education and training contexts, enhance certain competencies in healthcare professionals when compared to no intervention or traditional teaching techniques.
Artificial Intelligence Algorithms as a Precursor for Personalized Learning and Education
Authors: Klinck-van der Merwe Ronelle , Goosen Leila
Published: December 2024

The purpose of the study reported on in this chapter is to enhance the personalized learning experiences of school learners by applying a rigorous online Learning Analytics (LA) framework, while one of the objectives of the study include to provide a descriptive and structured framework for educators to follow, when embarking on a learning intervention. Against the background of real-world applications of Artificial Intelligence (AI) innovation, the main focus of the chapter will be on AI algorithms for personalized learning and education.
AI-Enabled Sustainable Urban Planning and Management
Authors: Abbas Mahapara , Akhai Shalom , Abbas Uzma , Jafri Rana , Arif Syed Mohd
Published: December 2024

This chapter explores the transformative potential of Artificial Intelligence (AI) in sustainable urban planning. As cities grapple with rapid urbanization and climate change, AI offers innovative solutions through data analytics, predictive modeling, and optimization. Successful AI-enabled urban planning projects demonstrate the importance of data-driven decision-making, community engagement, interdisciplinary collaboration, and scalability. The chapter examines AI applications in traffic management, energy efficiency, waste management, urban design, and community engagement. Ethical considerations, including data privacy, algorithmic bias, and digital divide, are discussed, emphasizing the need for responsible AI development and inclusive planning. This chapter provides insights into how AI-enhanced urban planning can promote sustainability, resilience, and social equity. Key considerations for AI adoption, such as data-driven decision-making and community engagement, are highlighted.
Convolutional Neural Network for Quality Monitoring and Predictive Maintenance in Resistance Spot Welding
Authors: Bruno Giulia , Antal Gabriel , Traini Emiliano , De Maddis Manuela
Published: December 2024

Resistance spot welding is used to join two or more metal sheets by overlapping them and producing a localized spot weld through the simultaneous application of pressure and heat to the weld area by two electrodes. In case of unsuitable choices taken when setting the welding process, some issues might arise on the assembled workpiece, and even cause some damage to the structure of the welded materials. The presence of expulsion, for instance, is frequently used as a welding quality indicator. The present work aims to address the challenge of automatically detecting the presence of expulsions during the welding process. By implementing an automated expulsion detection system, manufacturers can proactively monitor electrode condition and schedule maintenance or replacement before weld quality begins to deteriorate. To achieve this goal, a deep learning algorithm, specifically a Convolutional Neural Network model, is proposed. The implementation of such an algorithm offers significant advantages in the quality control process of resistance spot welding operations.
Harnessing AI for Fraud Detection and Prevention in Finance and Banking
Authors: Prakash Vedant , Deokar Ruchira
Published: December 2024

This chapter explores how Artificial Intelligence (AI) is revolutionizing Fraud Detection and Prevention within finance and banking. Traditional methods fall short against modern fraud schemes, driving the adoption of AI. AI-powered solutions, including Machine Learning, Natural Language Processing (NLP), and Anomaly Detection, scrutinize transactional data to identify fraudulent patterns, enhancing accuracy. Real-world applications encompass transaction monitoring, identity verification, and fraud prediction. Emphasizing Explainable AI, this chapter delves into the transparency of AI-driven decisions, crucial for addressing challenges like data privacy and algorithmic biases. Continuous innovation is essential to outpace fraudsters. Ultimately, leveraging AI promises to safeguard assets and bolster trust in financial systems.
The Convergence of AI and Librarianship
Authors: Adetayo Adebowale Jeremy , Babalola Oluwaseun Odunayo , Olukayode Victoria Adeola
Published: December 2024

This chapter investigates the influence of AI-powered chatbots, specifically ChatGPT, Gemini, and Copilot, on library services. It examines their transformative role in user engagement, information access, and the future of librarianship. The study evaluates the unique capabilities of each chatbot, from ChatGPT's content generation to Gemini's engagement features to Copilot's information retrieval accuracy. It also explores the potential to generate hallucinatory answers and ethical concerns related to data privacy, bias mitigation, and transparency in AI implementation. The findings underscore the substantial potential of AI chatbots in revolutionizing library services, with ChatGPT, Gemini, and Copilot each contributing distinct strengths to user interactions and information dissemination, thereby enhancing library experiences for diverse user needs. This chapter emphasizes balancing technological innovation with ethical considerations in the library context.
An Analytical Study of Challenges Faced by the Visually Impaired Football Players
Authors: Joshi Prasad Vasant
Published: December 2024

Participation in disabled sports provides physical health benefits, improves mental health and psychological well-being, provides opportunities to socialize, and develops a sense of belongingness among disabled sports players. While pursuing sports, disabled players encounter multiple challenges. This chapter studies the challenges visually impaired football players face and their perception of the classification system. A mixed-method data collection and analysis approach involved quantitative analysis of a questionnaire-based survey and qualitative data through semi-structured interviews of 20 visually impaired football players. The outcomes reveal a number of challenges these players face, including commuting to and from the sports venue, costs involved in transportation and registration, finding a companion to travel, lack of coaching facilities, and lack of specialized sports equipment. The perception study shows dissatisfaction with classification due to a lack of transparency, absence of standard processes, and human intervention.
Globalization Trends and the Postinternational Order
Authors: Ramjit Dana-Marie
Published: December 2024

The contemporary landscape features intensified interconnectivity and challenges transcending national borders. With the expansion of global governance networks and the rise of supranational regulatory institutions, there is a pressing need to explore the complexity and dynamism of modern political economy. This chapter analyzes the contemporary political landscape through the lens of postinternationalism, highlighting the evolving nature of global governance and the challenges posed by interconnectedness and interdependence. It argues that traditional approaches to international relations are insufficient in addressing the complex and multifaceted crises facing the world today, advancing a shift towards collaborative governance and the need for innovative and inclusive approaches to decision-making and problem-solving. By presenting collaborative governance as a viable solution to crisis, the chapter contributes to the ongoing discourse on international relations. It offers insights into how the international community can work together to address the complex challenges.
Humanitarian Crises in the Digital Age
Authors: Guliyeva Aida , Rzayeva Ulviyya , Azimzadeh Aslan , Guliyeva Aysel
Published: December 2024

The article explores humanitarian crises in the digital age and the role of information technology in their management and resolution. In an era of rapid technological advancement, digital tools are becoming increasingly important for monitoring, coordinating and providing assistance in humanitarian disasters. Both the advantages and disadvantages of using these technologies are analyzed, including limited access to digital infrastructure and cultural barriers that may prevent their effective use. Particular attention is paid to innovative approaches. The article highlights the need for further development of inclusive digital solutions that can cope with complex vulnerabilities and marginalization, and also examines the potential threats of information technology.
Debating Change and Continuity in the Xi Jinping Era
Authors: Tekdal Veysel , Demir Emre
Published: December 2024

While there is broad consensus that China's foreign policy has become more ambitious and assertive under Xi Jinping's leadership, interpretations regarding the extent of this shift vary. This paper reviews the debate on change and continuity in China's foreign policy by examining the evolution of China's South China Sea (SCS) policy before and during the Xi era. Recent original scholarship on the SCS provides valuable insights and findings for discussing change and continuity under Xi. By reviewing these insights and findings, along with official documents and speeches, this paper concludes that ascribing China's new assertiveness in the SCS primarily to Xi's preferences may overlook other contributing factors. These include the perception of a narrowing power gap with the United States since the late 2000s, the cumulative growth of maritime capabilities resulting from concerted efforts since the late 1990s, and the influence of domestic actors on policy formulation and implementation.
Analysis of NATO-Russian Federation After the Cold War in the Context of the “Other Identity” Approach
Authors: Günyel Cihan
Published: December 2024

As of the end of the 2000s, NATO went through a process of expansion with new memberships towards Eastern Europe and the Black Sea and moved towards the sphere of influence of the former Tsarist Russia and the USSR within the European integrity of the Western identity. The Russian Federation has begun to feel the threat coming from the West, which has historical roots. The fact that NATO's Western identity approach creates itself through discourse and action has caused the Russian Federation to act accordingly on the basis of perception-discourse-action, within the framework of poststructuralism's assumption that each identity creates another identity. At this point, Ukraine's possibility of becoming a NATO member has alarmed the Russian Federation's threat perception and other identity approach.
The Changing Structure of the Regional System of International Relations in the MENA Region
Authors: Kuliyeva Nubara
Published: December 2024

After more than ten years passed since the “Arab Spring”, it can be mentioned as a tipping point both for particular MENA countries and for the regional system of international relations as a whole. As a result, several trends that characterize the development of the regional system after 2010 can be identified. Firstly, a change in the regional power structure in accordance with the redistribution of influence both at the vertical (from global actors to regional) and horizontal (between regional actors, between global actors) level. Secondly, the strengthening of old (between Sunnis and Shiites, etc.) and the formation of new fault lines in the region. Thirdly, the increase in the activity and significance of non-state actors against the backdrop of weakening statehood and the associated complication of the nature and significance of military-political conflicts. These trends determined the logic of regional development, within which the formation of a new model of involvement of global and regional actors as well as new “zones of instability” emerged.
As a Regional and Global Security Problem DAESH Khorasan Terrorist Organization
Authors: Karakaya İskender
Published: December 2024

ISIS Khorasan is a terrorist organization known as a branch of ISIS and often referred to as “ISIS-K” (ISIS Khorasan). It was established in 2015 to operate in Afghanistan and Pakistan. The name “Khorasan” refers to a region encompassing eastern Iran, Afghanistan, and part of Central Asia throughout Islamic history. DAESH Khorasan adopts the ideology of DAESH and targets local groups and people in this region. It is known for acts of violence such as terrorist attacks, suicide bombings, and gunfights. ISIS is fighting against Taliban forces and other enemies in Khorasan, Afghanistan. It attracted great reaction internationally, especially with its attacks targeting civilians. The United States and NATO forces have conducted various military operations to combat this organization. However, the organization continues to exist by taking advantage of the instability and conflicts in the region.
Advanced Cyber-Physical Systems Utilizing Deep Learning for Crowd Density Detection and Public Safety
Authors: Leisha R. , Medows Katelyn Jade , Thiruthuvanathan Michael Moses , Ravindra Babu S. , Divakaran Prakash , Chaturvedi Vandana Mishra
Published: December 2024

This study aims to detect the increasing crowd density, which is crucial, especially in dynamic environments like festivals or concerts. By harnessing cyber-physical systems and cutting-edge technologies, we have employed computer vision and deep learning to create a reliable model for accurate crowd counting. Utilizing deep learning, renowned for its ability to handle image-related tasks, the system gives decision-makers precise crowd density estimates, enabling well-informed actions such as crowd control measures. This study aims to improve safety and security in crowded areas by delivering an efficient system that can identify and quantify high crowd densities by integrating deep learning and computer vision technologies within a cyber-physical system framework. This approach facilitates proactive measures to mitigate safety risks and optimize crowd management strategies. The study seeks to advance safety and security measures in crowded areas by delivering an efficient and comprehensive crowd density detection and analysis system using cutting-edge technologies.
Impact Assessment of Macroeconomic Elements on India's ESG Index
Authors: Vishnoi Goysha , Narang Rishank , Ganguly Anushree
Published: December 2024

The aim of the study is to examine the relationship between ESG (Environmental, Social and Governance) index performance and key macroeconomic variables in the context of India, focusing on factors like foreign direct investment, inflation, exchange rates, and economic and political stability. The methodology includes a comprehensive analysis of these relationships and their impact on sustainable business practices. Statistical analysis is performed using EViews Student version 12. The study uses Autoregressive Distributed Lag (ARDL) models, to model and quantify the impact of foreign direct investment, inflation, exchange rates, and political and economic stability on ESG index values. In addition, the Cumulative Sum (CUSUM) test is used to assess the stability of the regression model over time. The results of the study will provide investors with valuable information on how to incorporate sustainability issues into decision-making processes.
Exploring the Interlinkages Between Industry 4.0, Circular Economy, and Sustainable Performance
Authors: Marak Zericho R. , Sharma Aashna , Uikey Ashish Ashok
Published: December 2024

In recent years, the concepts of Industry 4.0 (I4.0), the circular economy (CE), and sustainability have garnered significant attention within both academic and practical spheres. Numerous studies have been conducted to investigate these concepts individually, with a growing body of research also examining the bivariate relationships among these variables. Though a lot of studies have emerged examining the bivariate relationships, studies focusing on investigating the interlinkages between these three concepts are still very limited. Therefore, this chapter aims to examine the interlinkages between I4.0, CE, and Sustainable Performance (SP). This chapter also investigates the drivers in implementing I4.0 technologies, CE, and sustainability practices. Firm's challenges in implementing I4.0 and CE to achieve SP objectives are also discussed in this chapter. The chapter presents theoretical frameworks for understanding complex interlinkages between I4.0, CE, and SP. This chapter will be useful for both academia and industry in understanding the nexus between I4.0, CE, and SP.
Casestudy on Integrating Advanced Technologies for the Conservation and Exploration of Deep Sea Ecosystems
Authors: Vignesh U. , Parvathi R. , Parihar Arpan Singh
Published: December 2024

Echnological advancements have revolutionized deep-sea ecosystem conservation and exploration, offering unprecedented capabilities to understand and protect these fragile marine environments. Remote sensing technologies such as satellite imagery and acoustic sensors provide high-resolution mapping of deep-sea habitats, guiding conservation strategies. Autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) equipped with advanced sensors enable detailed surveys and observations in previously inaccessible regions, yielding valuable data on species distribution and habitat characteristics. Additionally, genetic sequencing technologies elucidate deep-sea biodiversity and evolutionary processes, informing conservation efforts. These innovations collectively enhance our understanding of deep-sea ecosystems and facilitate informed management practices, ensuring the preservation and sustainable use of these vital marine environments for future generations.
Exploring the Depths-Comprehensive Insights Into Deep Sea Mining and Its Implications for Ecosystems, Technologies, and Sustainability
Authors: Ali Anooja , Rani Meesala Shobha , Pandiyan Saranya , Shaheen H.
Published: December 2024

Deep sea mining is a potential industry in discovering enormous mineral resources, such as polymetallic nodules, hydrothermal vent deposits, and cobalt-rich crusts. These minerals are essential for high-tech companies and renewable energy applications. However, resource exploitation presents substantial obstacles and threats to deep marine ecosystem, are least studied. The geographical areas chosen for deep-sea mining are frequently rich in biodiversity, that could be adversely damaged by mining operations. Deep sea mining has important legal and societal ramifications, with disputes centred on regulatory frameworks, ownership rights, and the possible socioeconomic benefits. Current legislation is evolving to address these issues, but comprehensive worldwide guidelines are urgently required to ensure environmentally and socially acceptable mining practices. Future directions in deep-sea mining will likely focus on increasing operational sustainability, improving environmental monitoring, and creating technologies that reduce ecological footprints.
Identifying and Utilizing the Skillset of Student Community in Higher Education Sector
Authors: Krishna S.
Published: December 2024

This is a qualitative evaluative case study on the design and implementation of EWYL project in a rural Government Arts and Science College of Kerala. This research focuses on work attributes and experience of part-time work of students within the campus. The study is carried out in one of the Government Arts and Science College in the State of Kerala, India. The research participants are composed of those students who have been part of any one of the EWYL projects. Skill enhancement, social capital creation and gender inclusiveness are reported as the outcome.
Impact of Extracurricular Activities on Competency Development in Engineering Students
Authors: Cerezo-Narváez Alberto , Castro-Medina Daniel , Montero-Gutiérrez MPaz , Ramírez-Peña Magdalena , Sánchez-García Daniel , Delgado Carmen Guerrero , Otero-Mateo Manuel , Pastor-Fernández Andrés , Ramos José Sánchez
Published: December 2024

Extracurricular activities play a key role in the competency development of university students in engineering. These endeavors, such as participating in competitions, engaging in multidisciplinary projects, integrating into professional societies, and collaborating with student associations, provide opportunities to apply theoretical knowledge they have gained in practical situations. This not only reinforces learning but also enables them to better understand how these concepts are used in the real world, fostering crucial soft skills such as communication, teamwork, problem-solving, and leadership, which complement hard skills acquired in the formal curriculum. Additionally, it gives them the chance to manage projects in a controlled environment, while also developing their decision-making skills under pressure. Furthermore, they establish a network of contacts, offering a forum for the exchange of ideas and future partnerships. This involvement increases motivation and commitment, renewing their interest in engineering and giving them a clearer perspective on their career paths.
Speculative Scenarios for the Future of Talent Management in Higher Education
Authors: Veluchamy Ramar , Kanagaraj M. Ganesan Alias , K. K. Karthick , Vimalnath V.
Published: December 2024

This research paper explores the future of talent management in higher education through the lens of speculative design. By examining current trends and challenges, it develops and analyzes three distinct scenarios: The Automated Academy, The Gig Academy, and The Purpose-Driven Academy. These scenarios envision potential futures shaped by advancements in technology, societal changes, and shifts in educational paradigms. The paper identifies opportunities and pitfalls associated with each scenario, offering insights into how higher education institutions can proactively adapt to emerging trends and navigate uncertainty. The goal is to encourage innovative thinking and proactive approaches towards talent management among higher education stakeholders.
Talent Management Ensuring the Safety and Cybersecurity in Schools
Authors: Siripipatthanakul Supaprawat , Siripipattanakul Sutithep
Published: December 2024

Schools are adopting digital technologies to improve operations and learning in this technological age. This article discusses how talent management-based school management systems secure student data and safety. Talent management could be utilized to select school staff to preserve student privacy and safety due to these gadgets' ease of use. This systematic review of School Management Systems (SMS), a crucial technical innovation, incorporates Google Scholar, Web of Science, and Scopus. This research used content analysis. Managing talent consolidates School procedures like management, communication, and resource organization. Primary reviews say talent management is essential to school data security and cybersecurity. School management software optimizes administrative processes and boosts efficiency through talent management. These digital technologies offer many benefits, but school administrators should prioritize talent management, data protection, and cybersecurity.
Optimizing Food Quality and Customer Service in Restaurants Through AI-Powered Monitoring Systems
Authors: Singh Vipin , Karthik K.
Published: December 2024

The restaurant world is fast and competitive with advancement in technology. Success in the business world heavily relies on customer happiness. Providing exceptional dining experiences to customers is no longer considered a luxury, but rather a necessity. Fortunately, the advent of AI has brought a wave of transformation in the restaurant industry. AI technology, restaurants can provide unmatched customer satisfaction. From personalized dining experiences to streamlining operations, AI is revolutionizing the industry by introducing innovative solutions in the competitive restaurant industry by enhancing food quality, kitchen efficiency, and customer service. AI ensures consistency, safety, and excellence in dining experiences through advanced algorithms and real-time data analytics. Exploring how AI-powered technologies streamline restaurant operations and elevate hospitality standards is the main focus of this study. Case studies include AI robots manage various services showcasing AI's potential to transform guest interactions and operational accuracy.
Digital Transformation and Its Challenges in the Hospitality Industry in Malaysia
Authors: Nair Sree Kala
Published: December 2024

Digital transformation and technology development in Industry Revolution (IR) 4.0 are here to stay. The automation, digitalization, robotizing, and a tsunami of innovations that make up IR 4.0 are making their presence stronger as days go by. Newer technologies, like AI, Big Data, the Internet of Things (IoT), and machine-based algorithms, have given the world various choices of high-speed connectivity through online bookings, online shopping, chats, blogs, and virtual realities. AI and technologies have infused digital transformation and continued to dramatically alter the hospitality industry. This qualitative paper aims to explore what type of digitalization has been incorporated and the challenges faced aftermath. The interview results from eight hospitality managers reveal that all hotels except one have incorporated newer technologies mildly aligned with IR 4.0 within their hotels. All the hotels face trials related to technology, namely budgets, rapid upgrading of digitalization, and insufficient technical employees to oversee the administration of these systems.
Assessment of Customer Satisfaction in Online Food Delivery Within Klang Valley
Authors: Selvanayagam Gobinath , Sathasivam Devendren , Sangaran Gopinath
Published: December 2024

This paper attempts to investigate how satisfied customers are with online meal delivery services in the Klang Valley, an industry that is expanding quickly due to changes in consumer behaviour and technological improvements. This study aims to examine the relationship between customer satisfaction and important elements including food quality, sales promotion, and e-service quality, as the demand for efficiency and convenience grows. The study will collect data from purchasers who use online meal delivery services by using an online questionnaire and a quantitative research approach. The results will shed light on consumer preferences and expectations, which is critical for improving the level of services and streamlining business operations in the food delivery industry.
Community Participation in Solid Waste Management in Rural Maharashtra
Authors: Kadam Diwakar Dhondu
Published: December 2024

Community participation in solid waste management (SWM) in rural Maharashtra is essential for sustainable development and public health. Rural areas often face challenges such as inadequate waste collection services, improper disposal practices, and a lack of awareness about sustainable waste management methods. This study explores how local communities can be mobilized to engage in SWM, highlighting the importance of active involvement in planning, implementing, and monitoring waste management practices. The research identifies barriers and opportunities, emphasizing that community engagement can lead to better resource allocation, increased awareness, and more sustainable practices. By examining current practices and proposing policy recommendations, the study aims to enhance community participation in SWM, ultimately improving environmental and public health outcomes in rural Maharashtra.
Enhancing Solid Waste Management Through Educational Initiatives in the Rural Areas
Authors: Kulshrestha Ruchika , Seth Kunal , Goyal Shalini , Farhan Mohd
Published: December 2024

The objective of this study was to examine the impact of Educational Programmes on Solid Waste Management Practices in Rural Areas. This study utilized case studies conducted in rural districts of India to ascertain the strategies employed in managing solid waste. Case studies are valuable tools for comprehending the efficacy of educational programs in advancing sustainable waste management practices in rural India. This chapter focuses on examining the significance of educational programs in the implementation of solid waste management practices in rural communities. Research has revealed that solid waste management plays a crucial role in rural regions and has a substantial influence on promoting sustainable waste management practices in rural communities in India. The results will offer significant knowledge regarding the impact of education on the promotion of sustainable waste management practices. Additionally, they will provide guidance for the development of efficient educational initiatives that are specifically designed to meet the requirements of rural communities.
Waste Management Practices Implementation in the Rural Region to Sustain the Environment
Authors: Kumar Sanjeev , Talukder Mohammad Badruddoza , Bhatnagar Deepali
Published: December 2024

Modern structures for trash disposal should be established to ensure that methods of efficient waste management are put in place to conserve nature and the environment, especially in the countryside. This chapter aims to examine waste management technologies in rural areas, focusing on the challenges and opportunities of the used strategies. In the context of this research study, latent factors that define the execution of waste management projects are defined as the outcomes of a review of related literature and, second, case studies of several rural areas. Such elements are the involvement of community, government policies aimed at supporting, technologies, and funds. In terms of the issues of waste management, the outcomes indicate an opportunity to solve problems connected with waste management not only by applying legislation and education but also by using such assets as innovative practices. Thus, the chapter concludes that promoting and implementing sustainable WM in rural areas benefits the environment, health, economic development, and population quality of life.
Use of Virtual Reality in Psychological Counseling Processes
Authors: Kafes Ali Yasin , Albayrak Mehmet
Published: December 2024

The study examines the integration of virtual reality (VR) technology into psychological counseling, highlighting its applications, benefits, and challenges. VR creates immersive, controlled environments, opening new therapeutic possibilities for conditions such as anxiety disorders, PTSD, and phobias. It enhances exposure therapy, cognitive-behavioral therapy (CBT), and skills training, improving patient engagement and treatment adherence. VR's ability to provide safe, realistic simulations allows for the gradual introduction of stimuli, aiding in the management of phobias and anxiety. It also helps in identifying and altering dysfunctional cognitions through simulated experiences. Despite its advantages, the high cost and technological demands of VR systems, along with physical side effects like nausea and dizziness, limit its accessibility and usability. There is a pressing need for empirical evidence to support the long-term efficacy and safety of VR in psychological treatment.
Exploring Digital Inequalities and Their Social Media Solutions
Authors: Arora Anisha , Kaur Uttam , Siddhey Prashant Kumar
Published: December 2024

The relationship between digital inequality and other socioeconomic disparities is still underestimated, even though the field is always changing. This paper challenges social scientists to explore the topic of digital inequality from both a methodological and substantive standpoint, both within and outside of the field of digital media studies. The researcher outlines current studies addressing access, usage, skills, and self-perceptions about digital inequality. They also suggest directions for further research. Every submission promotes the recognition of digital inequality in the present period alongside more conventional types of social inequality. It claims that social scientists who study a range of life outcomes should include digital inequality in their work rather than leaving it to the experts. According to the authors, the effects of digital inequality are felt at both the individual and societal levels, affecting things like life paths, politics, healthcare, healthcare, gender, race, and class as well as social connectivity and economic engagement.