bluuebunny/crossref_metadata_2025 huggingface dataset:
Terrestrial isopods (Isopoda, Oniscidea) of Slovakia: an annotated checklist, new records, and bibliography
Authors: Mock Andrej , Tajovský Karel , Purkart Adrián , Tuf Ivan Hadrián
Published: February 2025

Woodlice (terrestrial isopods) represent an unmissable, often very numerous components of macrosaprophages inhabiting soil, rocky environments, rotting wood and subterranean habitats, as well as the dwellings of various organisms, including humans. The paper provides a comprehensive summary of the literature on woodlice in Slovakia, including a list of species with unpublished data on two exotic species first recorded in Slovakia. Research on Slovakian terrestrial isopods has been documented in 213 papers (from 1794 to 2024) and 25 theses. To date, 48 species from 14 families have been recorded in Slovakia. Of these, 30 species are autochthonous, while 18 species have been introduced into anthropogenic habitats, with eight species found exclusively in greenhouses. The list also includes an analysis of habitat preferences, bioindicator potential, and biogeographic comments. Notably, two species, Buddelundiella cataractae and Reductoniscus costulatus, are recorded in Slovakia for the first time. Carpathian elements are sparsely distributed within the mosaic of well-preserved natural forests. Hyloniscus mariae is likely the only surface-dwelling endemic species in the northern parts of the Carpathian range. Other species, such as Hyloniscus transsilvanicus, Trichoniscus carpaticus and Trachelipus difficilis, have a broader distribution within the Carpathians. Additionally, Mesoniscus graniger, Orthometopon planum and a few other taxa reach their northern distribution limits in Slovakia. Current research is predominantly focused on the fauna of subterranean habitats and urbanized landscapes.
First-Episode Psychosis
Authors: Iqbal Syed , McDeavitt Kathleen , Blassingame Jonathan Curtis , Isa Samya Anam , Markan Arushi , Nazario Michelle , Shah Asim A.
Published: February 2025

First-episode psychosis (FEP) is a severe mental disorder that poses a challenge to providers, patients, and their families for treatment. This disorder usually presents in the younger age group. Due to the stigma related to mental illness in the community, people are reluctant to disclose symptoms and start early treatment. They reach out for help once the psychotic symptoms cause profound impairment in reality-based thinking and functioning in the community. Psychotic symptoms can put patients at risk of being a danger to themselves and others, for which they require hospitalization. Research has established that early presentation after the onset of symptoms and initiation of treatment shows a better prognosis. A collaborative care approach via coordinated specialty care (CSC) units is more effective than care as usual. The CSC model is focused on shared decision making, involving the patient and the family. It also focuses on psychosocial interventions, including psychotherapy, psychoeducation of patients and families, and case management services.

[
Psychiatr Ann
. 2025;55(1):e4–e7.]
Intellectuals in Diaspora
Authors: Gantar Godina Irena
Published: February 2025

Zbornik je rezultat mednarodnega znanstvenega sestanka s področja migracijskih študij, ki ga je v Portorožu (1.–5. 9. 1998) organiziral Inštitut za slovensko izseljenstvo ZRC SAZU in katerega osrednja tema je bilo vprašanje intelektualca izseljenca. V zborniku so zbrani prispevki udeležencev iz Slovenije in devetih drugih držav: Kanade, ZDA, V. Britanije, Italije, Avstrije, Madžarske, Poljske, Rusije in ZR Jugoslavije, razen štirih prispevkov (J. Žitnik, R. Švent, N. Kurent in F. Adamič), ki so bili predhodno objavljeni v reviji Dve domovini/Two Homelands in zato v zborniku niso ponatisnjeni.
Cenzura na Slovenskem od protireformacije do predmarčne dobe
Authors: Vidmar Luka , Ditmajer Nina , Dović Marijan , Golec Boris , Juvan Marko , Ogrin Matija , Pastar Andrej , Svoljšak Sonja , Deželak Trojar Monika
Published: February 2025

Authors of the monograph (' Censorship in Slovenia from the Counter-Reformation to the Vormärz') deal with the influence of censorship on literature and culture in general in Slovenia from the 16th to the 19th century. Nina Ditmajer analyses forbidden, especially Protestant books, kept in the monastic libraries in Lower Styria. Three chapters are dedicated to the 17th century: Luka Vidmar describes the reception of works, written by libertine Ferrante Pallavicino, Monika Deželak Trojar deals with banned Mariological works of Janez Ludvik Schönleben, and Boris Golec analyses self-censorship of Janez Vajkard Valvasor. Next chapters describe the consequences of the censorship in the period of Enlightenment: Matija Ogrin writes about the blockade of the Late Baroque Slovenian manuscripts, Andrej Pastar about the heyday of bookselling and newspapers, and Sonja Svoljšak about dissemination of forbidden books of (political) philosophy. Last chapters introduce the changes of the long 19th century: Marko Juvan rethinks the role of a censor in the Vormärz period, as he discusses Kopitar’s censorship of the Krajnska čbelica, and Marijan Dović analyses the encounters of Slovenian writers with the imperial censorship.
The Aga Khan University Hospital in Karachi and the Unity of Din and Dunyā
Authors: Ebrahimi Sara Honarmand
Published: February 2025

In 1969, the Aga Khan IV, the forty-ninth hereditary Imam (spiritual and temporal leader) of the global Shiʻi Ismaili Muslim community, selected a “suitable team” to design and construct the Aga Khan University Hospital in Karachi, Pakistan. The buildings began going up in 1971, and the complex was completed in 1985. This article situates the design and planning of the University Hospital in the context of 20th-century hospital architecture to explore how it was designed and planned differently from Western models of the period. It shows that the University Hospital was designed to embody the Aga Khan IV’s theological quest for harmony between dīn (faith) and dunyā (world). Understanding and appreciating this theological quest helps going beyond merely adding the University Hospital to the historiography of hospital architecture in the 20th century to discern how it diversifies this historiography. Since the quest for harmony between dīn and dunyā raises the question of whether the Aga Khan IV supported ambitions for Pakistan as an Islamic state, the article also reflects, although briefly, on the place of the University Hospital in ambitions for Pakistan.
المعيش الاجتماعي زمن جائحة كوفيد 19 في الجزائر : دراسة ميدانية
Authors: نوار فؤاد , بن غبريط رمعون نورية , سنوسي زوبيدة
Published: February 2025

تناقش هذه الورقة البحثية آثار جائحة كوفيد 19 على الحياة اليومية لعيّنة من العائلات الجزائرية، وتحلّل واقع ممارساتها وتمثلاتها وخطاباتها حول الجائحة وطرق تدبيرها ومعيشها بعد توقف التمدرس وتحديد مجالات العمل. نعتمد في ذلك على دراسة ميدانية شملت في- شقّها الكمي 1200 وحدة سكنية، وفي شقها الكيفي 30 مقابلة. مسّت هذه الدراسة ولايات وهران، غرداية، قسنطينة والبليدة، وتمّ انجازها بعد سنة من بداية الجائحة. تفتح قاعدة البيانات التي أمكن تحليلها من معرفة جانب من واقع العلاقات بين الزوجين زمن الحجر الصحي، ومن تحديد تأثيرات غلق المدارس على الاستراتيجيات التي تبنتها العائلات في تسيير وقت أبنائها المتمدرسين زمن الجائحة، كما تسمح لنا بمعرفة مواقفهم وتمثلاتهم من بعض آليات تسيير الأزمة الصحية وفق السياقات المحلية المختلفة.
Consumption Trends of Algerian Families in Times of Covid-19
Authors: Merah Amina , Boussaïd Khadidja , Merabet Imen , Hadefi Abdelkrim Zoheir , Djani Fella
Published: February 2025

The objective of this study is to examine the impact of the Coronavirus Disease 2019 (Covid-19) pandemic on consumer behaviour in Algeria. The study’s significance lies in its investigation of the factors influencing the modification of consumption behaviour, thereby facilitating a deeper comprehension of this phenomenon. Through an online quantitative survey on consumption trends during the pandemic period, we successfully reached our target population and conducted a comprehensive analysis of the changes in spending and purchasing patterns observed before and during the pandemic. Additionally, we examined the impact of income change on consumer behaviour. The results demonstrate a notable shift in consumer behaviour, with an increased focus on health goods and services, as well as hygiene products, while maintaining a continued emphasis on food consumption. The pandemic has prompted families to prioritise domestic time and reduce their mobility, leading to the emergence of new consumption practices in food and culture. This work contributes to a growing body of literature on consumer behaviour and can inform the development of more nuanced political responses during health crises.
La métalangue scolaire à l’épreuve des faits de langues en contexte bilingue
Authors: Vernaudon Jacques
Published: February 2025

Il est désormais admis qu’encourager les élèves à comparer les langues à l’école peut contribuer au développement de leurs compétences métalinguistiques. Ces compétences métalinguistiques sont à leur tour utiles à la réussite scolaire en améliorant la compréhension et la production écrite et en favorisant l’apprentissage de nouvelles langues. Inspiré par « l’éveil aux langues », des initiatives comparatives se mettent en place progressivement à l’école des collectivités françaises des Outre-mer, entre le français, seule langue officielle et principale langue de scolarisation, et les langues locales lorsqu’elles sont intégrées aux programmes. Parmi les enjeux liés à la démarche comparative dans le cadre scolaire, l’un est peu questionné, c’est celui de la métalangue destinée à comparer les langues. La question peut sembler triviale pour des langues proches, d’un point de vue phylogénétique et typologique, et qui partagent une tradition grammaticale commune d’origine gréco-latine, ce qui est le cas des langues européennes entre elles. Elle l’est moins quand il s’agit de comparer le français à des langues typologiquement très différentes comme peuvent l’être les langues océaniennes. Cet article est consacré plus spécifiquement à la question de la métalangue commune dans le cas de la comparaison du français au tahitien. Il montre, dans le cadre de l’étude de la phrase type, en quoi le concept de prédicat, présenté comme une « complication inutile » du point de vue de la grammaire scolaire française, s’avère indispensable non seulement pour décrire le tahitien, mais aussi pour permettre des ponts comparatifs entre les deux langues.
De l’intérêt de décentrer les mathématiques occidentales ? Retour sur deux expériences
Authors: Léglise Isabelle , Rossille Adrien , Tiennot Luc , Tournès Dominique
Published: February 2025

À partir du récit de deux expériences, en formation d’enseignants dans l’Outre-mer et dans la médiation scientifique lors de la création du musée des mathématiques à Paris, ce texte propose de déconstruire les idées de centralité et d’universalité des mathématiques occidentales. Il s’appuie pour cela sur le nécessaire décentrement non seulement des différents acteurs (enseignants, élèves, médiateurs), mais également des contenus et de l’idée même de mathématiques occidentales. Ce décentrement peut être favorisé grâce à des disciplines comme l’histoire des mathématiques ou l’ethnomathématique, mais également grâce à une approche conversationnelle de la médiation scientifique. Sont abordées en particulier la diversité des pratiques mathématiques et l’inclusion de savoirs locaux, notamment ultramarins – en salle de classe ou au musée – qui permettent la légitimation de ces savoirs invisibilisés.
Témoignage : Intégrer les savoirs autochtones en classe
Authors: Appolinaire Liliane
Published: February 2025

J’aimerais livrer ici mon témoignage d’enseignante, puis de formatrice autochtone. Concilier ma langue et ma culture kali’na avec le cadre très normé du système éducatif français reste un exercice difficile. Cela suppose souvent de résoudre simultanément plusieurs difficultés et de dépasser des contradictions épistémologiques. Chez les autochtones, le mode de pensée est très différent du mode de pensée occidental. La transmission des savoirs et des connaissances englobe obligatoirement la façon de voir le monde. L’apprentissage est un tout, il n’est pas morcelé comme dans le système éducatif français. Dans le cadre éducatif actuel, ménager une place aux savoirs autochtones à l’école oblige à une gymnastique intellectuelle que nous avons pris l’habitude en Guyane de nommer « transposition didactique » et on voit bien que cette démarche a ses limites. Cette gymnastique intellectuelle vise à proposer des contenus d’apprentissage à ses élèves dans lesquels il peut se reconnaître.
Passato e presente: analisi di un programma di storia in tv
Authors: Ugolotti Carlo
Published: February 2025

Il presente contributo si propone di analizzare una delle trasmissioni di divulgazione storica di maggior successo in onda dal 2017 sulle reti generaliste italiane, Passato e presente. Il saggio si concentra su come questo programma declini la narrazione storica e come costruisca, attraverso il linguaggio televisivo, la sua stessa dimensione di vettore enunciativo. Enucleando le caratteristiche della sua messa in scena e narrativa, il saggio dimostra il grado di ricercatezza e innovazione di questo programma nel panorama italiano ma anche il permanere di limitatezze della comprensione nel comprendere le specificità del medium audiovisivo per la divulgazione storica.
Securing the Future of IoMT
Authors: Satheesh Kumar S. , Muthukumaran V. , Jahnavi S. , Krishna C.
Published: February 2025

Integrating Internet of Things (IoT) technologies into healthcare has brought about a new era characterized by enhanced connectivity and efficiency. However, this transformation also introduces significant challenges in safeguarding medical information. This analysis focuses on the interconnected network of medical devices and systems. It covers various types of medical data, including Personal Health Information (PHI) and telemetry data, susceptible to threats such as unauthorized access, data breaches, and exploitation of IoT vulnerabilities. The research emphasizes the need for proactive and adaptable security measures. Technological solutions such as secure data storage systems and communication channels are also analyzed to provide a holistic understanding of the tools available for mitigating security risks. Finally, the paper explores future trends in medical data security using a Dynamic Attribute-Based Encryption Scheme (DABES), which enables fine-grained access control to medical data.
The Evolution of Artificial Intelligence in Healthcare
Authors: Santoshi Seneha , Bansal Hina , Bondhopadhyay Banashree , Maurya Palak
Published: February 2025

Artificial Intelligence (AI) has become an unprecedented force in healthcare with significant impact on personalized medicine and Biosensor Engineering. This chapter discusses the evolution of AI in healthcare from the early Expert Systems to the advanced Machine Learning (ML) algorithm in practice. Integration of AI in personalized medicine has revolutionized Genomic Analysis, Predictive Analytics, and Drug Discovery and Manufacture with customized treatment. The advancement of AI and AI empowered Biosensor Engineering Technologies has brought future of real time health management and diagnosis by the development of wearable and implantable devices with advanced technologies like ML. The research reveals that AI improves diagnostic accuracy, shortens the time to treatment, and streamlines the drug development process. Additionally, progress in AI-driven biosensor engineering has led to innovations in real-time health monitoring and diagnostics, particularly through the creation of wearable and implantable devices that leverage machine learning technologies.
Deep Learning Classification of Diabetic Retinopathy Using ResNet-101 Convolutional Neural Networks
Authors: Ravindraiah R. , Jyothi Grande Naga , Royal J. Pavan , Reddy B. Nagavardhan , Kumar B. Nithish
Published: February 2025

Diabetic Retinopathy (DR) patients suffer from chronically excessive blood sugar, which impairs retinal features. Diabetic sufferers are extra prone to this difficulty, which may cause vision loss unless caught and handled early. It is the world's sixth most common cause of eyesight loss. Therefore, in-depth studies have been demanded in this vicinity to locate new approaches to diagnosing DR ranges. Initially, dedicated fundus image recognition techniques and computational algorithms were used to identify DR, however, their usefulness in real-time clinical practice became inadequate. Convolutional Neural Networks (CNNs), one type of deep learning model, are better at predicting the prognosis of DR. The goal of this research work is to understand the overall performance of a deep-gaining knowledge model, ResNet, a deep-stage neural network, in detecting non-prescriptive and exclusive varieties of suggestible DR.
Navigating the Convergence of IoMT and Generative AI in Global Healthcare
Authors: Tariq Muhammad Usman
Published: February 2025

This chapter examines the transformative potential of combining Generative AI with the Internet of Medical Things (IoMT) in healthcare. IoMT's capacity to empower ceaseless wellbeing observing and ongoing information assortment, joined with Generative man-made intelligence's high-level prescient and logical power, guarantees huge progressions in diagnostics, patient administration, and customized medication. The chapter focuses on case studies that demonstrate improved healthcare delivery and outcomes as it examines novel applications of these technologies. Be that as it may, it additionally addresses basic difficulties like security, security, and moral situations, including information insurance, algorithmic predisposition, and patient independence. Systems for beating these hindrances, particularly in asset compelled settings, are talked about, accentuating the requirement for hearty moral structures and administrative approaches.
Sustainable Development Goals and Supply Chains for Driving Positive Impact and Resilience
Authors: Ulker Yasemin , Demirel Banu
Published: February 2025

This chapter strives to draw attention to the role of supply chains in delivering sustainable development to increase the awareness of the strategic value of the supply chain strength in achieving several SDGs to attain environmental sustainability in particular. Using a quantitative methodology, the study examines the relationship between supply chain strength and environmental performance in BRIC and MIKTA countries, based on the Global Competitive Index and Environmental Performance Index (EPI). Results reveal a strong, significant positive association, with environmental performance explaining 44.7% of the variance in supply chain strength.
Going Green
Authors: Erkan Turan Erman , Barre Abass Sheikh
Published: February 2025

Organizations are assessed for both their economic and sustainable development when it comes to their sustainable performance more so in the dynamic global supply chain management. There has been growing concern over the sustainability of the planet and corporate stakeholders are becoming more aware of the rising environmental concerns. A key strategy for global organizations in supply chain management for environmental awareness is the implementation of a green supply chain (GSC). Going green and the complete adoption of Green Supply chain is the pathway to global environmental solutions and a contributor to the achievement of sustainable development goals. This paper seeks to assess the impact of implementing GSC management practices on sustainable development. The study will reply on secondary data from available literature on the theme of green supply chain management and sustainable development. Data will be analysed using both quantitative and qualitative analysis techniques
Blockchain and IoT Technologies for Sustainable Supply Chain Management
Authors: Ozel Semih
Published: February 2025

In today's increasingly complex global trade landscape, sustainable supply chain management has become a pressing concern. Traditional methods are proving inadequate to meet the challenges posed by the length, complexity, and global impacts of modern supply chains. In this context, emerging digital technologies such as Blockchain and the Internet of Things (IoT) offer promising solutions to enhance transparency, reliability, and efficiency in supply chain operations. This chapter explores the potential of Blockchain and IoT technologies in driving sustainable practices within supply chains. Through a comprehensive review of existing literature and real-world case studies, it examines how these technologies can mitigate environmental and social risks, ensure ethical standards, and improve overall supply chain sustainability.
Measurement and Assessment of Supply Chain Sustainability Performance
Authors: Koç Erdinç
Published: February 2025

This chapter examines the measurement and assessment of supply chain sustainability performance, emphasizing its growing significance amid legislative mandates, consumer expectations, and ecological concerns. It explores the theoretical and practical aspects of sustainable supply chain management, integrating environmental, social, and economic dimensions. Key frameworks like the Global Reporting Initiative (GRI), Life Cycle Assessment (LCA), and Multi-Criteria Decision Analysis (MCDA) are discussed, alongside challenges such as data limitations, operational complexity, and business integration. The chapter highlights industry best practices from leaders like Patagonia, Unilever, and Google, emphasizing the importance of leadership, technology, and stakeholder collaboration. Concluding with recommendations for practitioners and policymakers, it advocates for advanced data tools, standardized reporting, and fostering a culture of sustainability. Future research directions are proposed to refine methodologies and address emerging trends in sustainability assessment.
Circular Economy Principles and Their Application in Agri-Food Supply Chain
Authors: Roy Mallika , Akbar Delwar , Rajapaksa Darshana
Published: February 2025

The agri-food supply chain is vital for food security, economic development, and environmental sustainability. However, traditional linear production and consumption models have caused environmental degradation, resource depletion, and waste. This study explores integrating circular economy principles into the agri-food supply chain to create a more sustainable, resilient system. A comprehensive literature review examines current initiatives, strategies, and best practices across production, processing, packaging, distribution, retail, consumption, and waste management stages. Emphasis is on both developing and developed countries, with technological advancements, policy frameworks, and case studies from Australia highlighted. The findings stress the importance of collaboration, policy support, innovation, and public awareness in driving circular economy practices. This study offers valuable insights for policymakers, practitioners, and stakeholders, providing a foundation for future research and policy interventions to promote a sustainable circular agri-food system.
Digitalizing the Shipping Containers of Bangladesh Sustainable Solutions Amidst Challenges
Authors: Amin Rubel , Muppani Venkata Reddy , Sairam Pinisetti Swami , Arora Rupali , Haque Mazadul , Islam Sahidul
Published: February 2025

This study investigates digitalization in Bangladesh's container shipping sector, crucial for sustainable development. Interviews reveal collaboration as a major barrier due to limited engagement with external stakeholders and internal digitalization gaps. Through qualitative analysis of interviews with industry professionals and a review of pertinent literature, the study elucidates challenges such as inadequate IT infrastructure, financial constraints, and cybersecurity risks. It highlights the pivotal role of digital leadership and strategy in driving successful digitalization efforts. The research emphasizes the need for organizational culture conducive to digital transformation, employee upskilling, and top management support. The study underscores the potential benefits of digitalization, particularly in enhancing competitiveness and sustainability. It proposes collaborative solutions, including stronger partnerships with stakeholders and standardizing digital systems. Bangladesh's container shipping industry can leverage digital transformation to achieve long-term success.
Application of Circular Economy Principles in Indian SME Supply Chain for Sustainable Value Creation
Authors: Purushothaman R. , Alamelu R. , Sudha M.
Published: February 2025

The main focus of the study is sustainable development goals . To achieve the SDGs, organizations must follow the principles of the circular economy in the supply chain. The United Nations 2015 agenda states that all members of the UN will transform to sustainable development in 2030. This study focuses on the design of the products, Resource efficiency, Innovative business models, The role of data and technology to implement CE principles. Policy and regulatory support are driving the transition towards a circular economy with a supply chain. It is evident that prominent corporate is demonstrating successful integration of circular economy principles but small and medium enterprises are still in initial stages adopting CE principles. This study provides an overview of how implementing circular economy principles with possible technologies in the supply chain increases sustainability, resilience, value creation, and performance in the entire ecosystem of SMEs in Tamil Nadu, India .
Social Innovation Advancing Society Through R&D
Authors: Jung Byungkwan , Chang Hyung Jae
Published: February 2025

This chapter explores the advancement of society through research and development (R&D) of potential blockchain technology and sixth-generation (6G) networks. Social innovation seeks to devise practical solutions for complex social and environmental challenges, increasingly leveraging innovative technologies. Blockchain, known for its decentralization, transparency, and security, is reshaping public services, financial systems, and healthcare sectors. Simultaneously, the emerging 6G network, with its promise of ultra-fast speeds, minimal latency, and extensive connectivity, is set to revolutionize smart cities, education, and introduction to edge intelligence. We also explore applications integrating blockchain and 6G, demonstrating how their integration can enhance security, data integrity, and decentralized operations and society. However, the journey towards these advancements is not without challenges. Despite such promising societal advancement, there are ethical and security concerns.
Using Artificial Neural Networks in Designing and Developing Magnesium-Based Materials for Degradable Implant Applications
Authors: Elipey Manoj Kumar , Kishore P. S. , Buradagunta Ratna Sunil
Published: February 2025

In spite of its excellent biocompatibility and nontoxicity, Mg suffers from its uncontrolled degradation as an implant material when exposed to corroding bio-environment. Several parameters including chemical composition, surface properties, microstructural features, processing methods and the exposed environment are the important factors which effect the life span and sustainability of Mg implants in highly corroding bio-environment. Striking a balance among them to yield optimized performance in Mg implants is challenging. Here comes the advantage of using artificial neural networks (ANNs) in designing appropriate chemical composition and other influencing parameters. The present chapter provides a brief summary of using ANN to tailor Mg based implants with promising expected outcomes. Different ANN techniques used to develop Mg based biomaterials are summarized and the challenges involved in implementing ANN techniques in developing Mg based implants are also discussed.
An Intelligent Leaf Disease Prediction for Corn and Maize Using Convolutional Neural Network
Authors: Arulmurugan A. , Lakkshmanan Ajanthaa , Kaviarasan R. , Rajkumar E. , Punitha A. , Elsehly Emad M.
Published: February 2025

About 40% of Indians work in agriculture directly and 20% indirectly. The most widely grown crop, maize, is utilized in biofuels and the food chain. Many Indian small-scale farmers depend on farming for their livelihood and necessities. Diseases affect maize production and farmer profits. Bad weather and temperature changes spread the disease. Farming and agricultural enterprises use technology increasingly with digital. Farmers can use huge volumes of data on crop and soil conditions, climate change, and other environmental factors to manage plants and animals using machine learning. This study classifies three major maize diseases and identifies healthy pictures using modified deep transfer learning. This study studied the most frequent diseases: blight, grey leaf spot, and rust. Convolutional Resnet-18 predicted classes. Data was split widely for many scenarios to create transfer learning on Resnet-18 using the maize leaf image. It has four classifications and 96% mean accuracy over existing systems.
Optimizing Manufacturing Processes With Neural Network-Based Quality Control
Authors: Kaur Mandeep , Sundararamaiah Munikrishnaiah
Published: February 2025

This chapter discusses how progress made in the area of neural networks has helped to revolutionize the issue of quality assurance in manufacturing systems. It starts by reviewing some of the past approaches to quality control with a view of showing how they fail to meet today's manufacturing demands. The availability of neural networks (deep learning and reinforcement learning) is put forward as a realistic solution to increasing the efficiency of defect detection and improving the process. The chapter also gives an outline of neural network systems with the emphasis of data acquisition, data preprocessing, and choice of the neural network architecture of the implementation tools and platforms, such as TensorFlow and PyTorch. Quantitative findings derived from the case analysis show better enhancement in the defects rate and quality scores when using neural networks instead of traditional techniques.
Predicting and Monitoring the Failure of Steel Structures Using Artificial Neural Networks
Authors: Buradagunta Ratna Sunil , Sundara Kumar P. , Kamala Devi K. , Fattah I. M. R.
Published: February 2025

Artificial neural networks (ANN) have emerged as powerful tool to compute, assess, predict and understand the structural system behavior subjected to combination of complex input variables such as mechanical loads, extreme environmental conditions, seismic conditions etc. The existing experimental and simulation methods may not completely predict the structure response under combination of different input variables. In this context, assessing the failure of the steel structures by using ANN techniques ease the efforts of engineers in structure health monitoring. Compared with the available traditional methods, using ANN enables to assess the failure of the structures with more accuracy and reliability. The present chapter provides a summary of using ANNs in predicting different failures usually observed in steel structures. Additionally, the challenges and future perspectives are also discussed.
Fundamentals of Smart Education
Authors: Díaz-Parra Ocotlán , Ruiz-Vanoye Jorge A. , Marroquín-Gutiérrez Francisco , Salgado-Ramírez Julio C. , Ramos-Fernández Julio C. , Xicotencatl-Pérez Juan M. , Trejo-Macotela Francisco R.
Published: February 2025

Smart Education represents a transformative approach to teaching and learning, leveraging advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data analytics, and adaptive learning systems. This chapter explores the foundational principles of Smart Education, highlighting its potential to personalise learning experiences, enhance student engagement, and optimise educational outcomes. By integrating these technologies, Smart Education provides a dynamic and responsive environment that adapts content and methodologies to individual student needs, fostering a lifelong learning mindset. Key topics discussed include the evolution of traditional educational models into smart systems, the role of IoT in creating interconnected learning ecosystems, and the significance of data-driven approaches in refining instructional strategies. The chapter also examines the challenges and opportunities associated with implementing Smart Education across various contexts, addressing issues such as accessibility, privacy concerns, and the digital divide.
Development of Supervised Learning Models to Predict School Dropout at the University Level
Authors: Montufar-Benítez Marco Antonio , Ortega Omar López , Vargas Jaime Mora , Montaño-Arango Oscar , Armenta José Ramón Corona , Gómez Héctor Rivera
Published: February 2025

School dropout is a multifactorial problem that affects not only the individual but also the society, since the potential intellectual capacity is diminished. Universities, either with private or public funding are committed to understand this phenomenon under several approaches, one of the being the capability to predict whether a student will likely dropout or not. In this context, we experiment with several supervised learning models that are trained with two different datasets, one that has been gathered by a private Mexican university and another by a public Mexican university. The structure of the datasets is explained thoroughly, performance measures are given for the training and test data, and a summary is provided for each case. We pay important attention to the greatest Recall value as a performance measure, because this correctly identified the percent of true cases. In this sense, the Support Vector Machine model had the best performance for the data from the private university, while the Random Forest model was the best for the public university.
Enhancing Student Engagement and Learning Experience Through Augmented Reality
Authors: Joseph Twinkle Sara , Paul Ajith , Sharatchandran K. , Kunnumpurath Biju , Menon Vishnu Achutha
Published: February 2025

The impact of technology, initiated during the fourth industrial revolution with concepts like AI, AR, and VR, has significantly influenced education. Integrating Augmented Reality (AR) in education enhances student engagement and learning. AR enables students to visualize complex theories through real actions, making learning interactive and fun. This paper explores student experiences with Assemblr Studio, a 3D AR visualization tool, in hybrid learning at Christ University, Bangalore. The study examines Assemblr Studio's educational impact, user experience, and classroom effectiveness using questionnaires and focus group discussions. Results show that AR via Assemblr Studio fosters innovative and effective learning, positively altering traditional educational strategies.
The Role of Online Learning Platforms
Authors: Martínez-Mireles Josué Román , Rodríguez-Flores Jazmín , García-Márquez Marco Antonio , Austria-Cornejo Arturo , García-Escorza Brenda Berenice
Published: February 2025

The evolution of online education has undergone substantial transformation over time, driven by advancements in information and communication technologies, as well as the development of educational models. As the educational environment continues to evolve, online learning platforms have played a pivotal role in shaping online education into its current form. This chapter aims to explore the key attributes and functionalities of these online learning platforms to understand their impact on pedagogical practices, as well as their effects on student engagement, retention rates, and overall educational outcomes—factors that remain vital for educators, educational process managers, and leaders alike. In doing so, we seek to provide a comprehensive review of the development of online learning platforms, evaluate the effectiveness of different technologies, and contemplate potential future directions for online education. This analysis is grounded in a meticulous review of existing literature and supported by comparative analysis.
Technical Challenges in Scaling Data Infrastructure
Authors: Vaghani Divyeshkumar
Published: February 2025

In the era of digital transformation, the proliferation of big data presents both unprecedented opportunities and formidable challenges for data infrastructure scalability. This research delves into the multifaceted technical challenges associated with managing vast and complex data sets, emphasizing the critical dimensions of volume, velocity, and variety. As data generation accelerates, traditional data management systems struggle to keep pace, leading to significant bottlenecks in data capture, storage, processing, and analysis. This study systematically reviews the current landscape of big data analytics, identifying key obstacles such as inefficient input/output operations, the scarcity of skilled professionals, and the limitations of existing visualization tools. Furthermore, it highlights the necessity for innovative solutions and frameworks that can effectively harness the potential of big data while addressing the inherent complexities.
Analysis of Industrial Waste Management Efficiency as Part of a Sustainable Business Development Strategy
Authors: Afanasyeva Katsiaryna , Malei Alena , Sushko Volha
Published: February 2025

The article presents methodology of analysis of industrial waste management efficiency based on the concept of balanced scorecard, which allows to assess environmental, economic and social efficiency of waste management in accordance with the strategic objectives of business development. The information basis for the process of industrial waste management and analysis of the efficiency of their treatment is the waste accounting system recommended by the authors at its' life cycle stages in the context of the following objects for management: industrial waste in physical terms and at fair value, the cost of industrial waste management (in terms of actual costs for their collection, accumulation, recycling and disposal). Analytical support for the industrial waste management process is provided by the developed system of environmental, economic and social indicators of the efficiency of the company and the effectiveness of management efforts in the field of waste management, which will determine the degree of fulfilment of the strategic goals of the company's sustainable development.
Green Finance as a Catalyst for Sustainable Development
Authors: Jadon Renu
Published: February 2025

Green finance is in nascent stage in India and it needs to be adopted to mitigate the climate change and carbon emission. This chapter proposes to examine the impact and potential of green finance for Sustainable Development Goals (SDGs) in India. The objective of this chapter is to define the green finance concept and to examine the mechanism through which green finance contributes to achieve sustainable development goals. This chapter deals with the exploration of the current state and challenges of green finance in India, and propose strategies to enhance its effectiveness. The study will focus on key sectors such as banking, agriculture, and infrastructure. This chapter adopts a case study approach to examine best practices and lessons learned from successful green finance projects in India in key sectors. The finding of this paper reveals the comprehensive overview of the current state of green finance in India and the impact of green finance on achieving Sustainable Development Goals (SDGs) in key sectors. It also assesses the challenges and barriers to green finance in India.
Green Consumer Behaviour
Authors: Kaur Simranjit , Kumar Amit , Sharma Priyanka , Gulati Gagan , Kaur Anupriya
Published: February 2025

In the realm of modern consumer research, the phenomenon of green consumer behaviour has emerged as a new paradigm of marketing discipline for researchers and marketers. As the consequences of environmental degradation become more evident, individuals are becoming more conscious of their environmental footprint, making it essential to understand how they make green choices. This consciousness leads consumers to buy or consume eco-friendly products and consume in a sustainable way. One of the best ways for gaining insights into sustainable consumption is by monitoring buying behavior of the consumers. This study aims to utilize bibliometric analysis to explore the current state and trends in the context of green consumer behaviour, providing a detailed understanding of the key elements that drive and hinder sustainable consumption. By identifying and examining these factors, the research seeks to contribute to the body of knowledge on sustainable consumption and offer insights for policymakers, businesses, and researchers to promote green consumer practices effectively.
Optimizing Assembly Line Operations: A Study on Dispatching Rule Performance
Authors: Sukwadi Ronald , Jou Yung Tsan , Putra Vicky Pratama , Pratama Ferdian Aditya , Silitonga Riana Magdalena , Inderawati M.M. Wahyuni , Thu Nguyen Thi Bich
Published: February 2025

Due to rising environmental awareness, many individuals are moving away from fossil-fuel vehicles like gasoline and diesel cars. In contrast, electric vehicles improve air quality and reduce carbon emissions, leading to a surge in their popularity. This growth presents challenges for the motor industry, including a gap between product availability and demand, causing longer delivery times. Efficiently assigning orders to machines, adapting production, and ensuring timely delivery are critical research areas. Dispatching rules are vital in managing production processes, determining how goods are handled as they enter the system. Conventional dispatching systems, which rely on dispatcher expertise and on-site information, often result in incomplete orders being delayed, causing financial losses. This study aims to evaluate various dispatching rules using system simulation to identify the optimal approach for improving order fulfillment. Using the DC motor production line for electric vehicles as a case study, this research develops a production model through FlexSim, used primarily for visualizing production processes. The dispatching rules evaluated include First In, First Out (FIFO), Shortest Processing Time (SPT), and Earliest Due Date (EDD). Results highlight ways the company can improve its processes by comparing fulfillment rates and delay times.
Occupational Accident Risk Control in the Small Scale Industry Metal Casting
Authors: Kurnianingtyas Chandra Dewi , Yuniar Lova Setyajati , Dewa Parama Kartika
Published: February 2025

Work safety is the main aspect that must be considered by companies in carrying out their activities. One of the metal casting companies located in Klaten, Central Java is used as a research site. Work accidents are caused by the company's lack of monitoring of the running of activities in the company and the lack of awareness of the workforce about the importance of work safety. The main problem that arises in the company is the increase in the number of work accidents every year from 2021 to 2023. This can have a negative impact on the company and workers. It is necessary to immediately carry out hazard risk control which is used to control the risks of hazards that arise in the company, The purpose of this research is to conduct a study of the risk of hazards that arise. The method used to conduct research is the Job Safety Analysis (JSA) method. The results of this study are risk controls that are used to help reduce the increase in work accidents in the company. Prioritized risk control is the design and use of personal protective equipment.
The Mass Time Burning Model of Coconut Shell Charcoal Briquettes
Authors: Prasetyadi Andreas , Sambada Rusdi , Harini Bernadeta Wuri
Published: February 2025

Burning Test and Density Test are common to be applied in Coconut Shell Charcoal Briquette for stopping drying process and predict its quality. In order to understand the relation of both test and the quality of the briquette, a research on the burning test and density model was applied. Three different conditions of the briquettes were chosen, they are wet, half-dry, and dry. Mathematical models based on burning test of the charcoal briquette were developed. The results show that burning test can provide different conditions of coconut shell charcoal clearly. A dry briquette has fully exponential pattern of the left mass during 225 minutes combustion. The half-dry has combination of exponential, linear, and exponential pattern for respective times of 0 – 45’, 45 – 120’, and 120 – 225’. The wet briquette has similar patterns with shorter linear. The dry briquette can provide longer burning time than other.
Cinnamon Drying Machine Monitoring System Using IoT Technology
Authors: Prasetya Thomas Rivaldo , Widjaja Damar
Published: February 2025

Cinnamon bark drying machine is one of agricultural technology to dry up the cinnamon bark efficiently. Drying machine monitoring is a system to monitor temperature and weight conditions during the drying process through a smartphone. The dryer monitoring system uses Internet of Things (IoT) technology so that the system can be monitored remotely. The proposed cinnamon bark drying machines uses Arduino Mega2560 as the main microcontroller with 4 Arduino nanoas additional microcontrollers to get star network topology and ESP8266 as a communication device. Loadcell Sensor is used as weight sensor, and DS18B20 is used as temperature sensor. There is simple Blynk application on smartphone as an IoT platform. Based on the test results it can be concluded that the cinnamon bark drying machine monitoring system using IoT technology has good performance and capabilities. It can reduce material weight down to 29,93% for the maximum temperature reached during the drying process is 55 ° C. Transmission delay from the serial monitor to Blynk IoT Platform has a poor value based on TIPHON standardization. The average delay was 1.5 seconds. However, data error rate between serial monitor and Blynk is very small. The average data error rate is 0,21%.
Train Human Resources with Buddhist Teachings for Sustainable Economic Development
Authors: Bulugahapitiye Nandabodhi
Published: February 2025

Sri Lanka is currently facing a profound economic crisis rooted in internal issues such as management inefficiencies, attitudes, and political interventions. This study aims to explore the integration of Buddhist teachings on economic management to address these challenges and foster sustainable development. Utilizing a qualitative approach, the research analyzes the Buddhist Pali canon alongside contemporary economic theories. The findings emphasize the relevance of Buddhist principles in tackling poverty, economic mismanagement, and social issues. Key teachings from Buddhist scriptures such as the Kūṭadanta sutta and Sigalovada Sutta offer frameworks for eradicating poverty, achieving full employment, and ensuring the basic needs of the population. The study also highlights the importance of ethical governance as discussed in the Mahaparinibbana Sutta and Cakkavattisihanada Sutta, suggesting that transparency, accountability, and compassion are crucial for economic stability. Additionally, Buddhist concepts of contentment and mindful consumption, as articulated in the Dhammapada, provide insights into sustainable resource use and environmental conservation. The integration of these teachings into education and professional training can cultivate values of mindfulness, ethical conduct, and social responsibility. The practical application of Buddhist teachings in economic policies, community initiatives, and fair trade practices can enhance social harmony and reduce economic disparities. Despite potential challenges such as cultural shifts and policy implementation, the study concludes that Buddhist teachings offer a holistic approach to addressing Sri Lanka's economic crisis and achieving sustainable development. By applying these principles, Sri Lanka can create a more equitable and prosperous society that values both material and spiritual well-being.