bluuebunny/crossref_metadata_2025 huggingface dataset:
INFLUENCE OF TECHNOLOGICAL PARAMETERS ON THE COMPOSITION AND PROPERTIES OF PETROLEUM COKE
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, AUBAKIROV Y.А. , BUZAYEV N. ,   AL-FARABI KAZAKH NATIONAL UNIVERSITY, TOSHTAY K. ,   AL-FARABI KAZAKH NATIONAL UNIVERSITY
Published: March 2024

This study is devoted to studying the complex process of producing coke from heavy oil residues using previously developed experimental approaches and using analytical methods of analysis. The purpose of the study is to produce low-sulfur coke by thermal processing of heavy oil residues in the presence of waste motor oils. The resulting coke was analyzed by various physicochemical methods. The composition and structure of the resulting coke were studied using Raman spectroscopy methods. As a result of the analysis, the predominance of polyaromatic compounds and olefins in the coke composition was revealed. Electron microscopy techniques provided a visual representation of the microstructure and morphology of coke samples obtained both in the presence and absence of a recycling agent. Significant results were obtained by measuring the specific surface area of coke, which highlight the significant influence of temperature fluctuations on its characteristics of coke. It is noteworthy that the specific surface area of micropores varies significantly – from 16 to 600 m2/g. The results of the analysis of sulfur content showed the possibility of its thermal dehydration, which should lead to an improvement in the quality of coke. In addition, it has been shown that conducting the experiment in the presence of a recycling agent significantly increases the yield of coke and opens up prospects for more efficient use of heavy oil residues. Taken together, the results provide valuable insight into the intricacies of producing low-sulfur coke from heavy petroleum residues. In addition to industrial significance, this research also has environmental significance, since it proposes an approach that allows not only to maximize the use of secondary resources, but also to reduce the sulfur content in coke, which will help limit the environmental impact of industrial processes.
BITUMEN PLANT WASTEWATER TREATMENT
Authors:   CASPIAN UNIVERSITY OF TECHNOLOGY AND ENGINEERING NAMED AFTER SH. YESSENOV, SERIKBAYEVA A.K. , TAIZHANOVA L.S. ,   CASPIAN UNIVERSITY OF TECHNOLOGY AND ENGINEERING NAMED AFTER SH. YESSENOV
Published: March 2024

Wastewater from oil refineries is considered toxic and dangerous to the environment and human health, because their composition is complex, they are capable of forming other compounds, undergoing changes over time, and the constancy of most organic compounds, the strength of chemical bonds, undoubtedly complicate their biological and chemical oxidation and decomposition. Treatment plants consist of stages of mechanical, physico-chemical and biological treatment. In most cases, even a combination of these purification methods cannot purify the water to the required level. Considering that water is the only consumable resource, it is important not only to purify it in accordance with the requirements, but also to update the purification methods for use in other necessary industries. The issue under consideration is aimed at wastewater treatment of the Aktau bitumen processing plant. The article presents the results of a study of the evaporation of wastewater from a bitumen plant in a solar installation without reagents. Laboratory experiments have shown the possibility of wastewater treatment by distillation at lower temperatures and pressures. Along with the wastewater treatment of a bitumen plant without reagents, it can also be considered as a source of the release of precious metals.
EVALUATION OF MACHINE LEARNING ASSISTED PHASE BEHAVIOR MODELLING OF CO2-OIL SYSTEMS
Authors:   TYRAU OIL AND GAS UNIVERSITY AFTER S. UTEBAYEV, MAGZYMOV D. ,   UNIVERSITY OF HOUSTON, MAKHATOVA M. ,   TYRAU OIL AND GAS UNIVERSITY AFTER S. UTEBAYEV; COLORADO SCHOOL OF MINES, DAIROV Zh. ,   TYRAU OIL AND GAS UNIVERSITY AFTER S. UTEBAYEV, SYZDYKOV M. ,   ALMATY UNIVERSITY OF POWER ENGINEERING AND TELECOMMUNICATIONS AFTER GUMARBEK DAUKEYEV
Published: March 2024

This study evaluates machine learning (ML) methodologies in the pursuit of advancing thermodynamic flash calculations that are vital for carbon dioxide storage applications and for the oil and gas industry in general. We generated a dataset for training machine learning algorithms using a traditional physics-based model. This developed hybrid model incorporated into the machine learning model underlying physical constraints. While preliminary results from training and numerical matching were promising, the hybrid model's real-world application revealed non-trivial shortcomings. Specifically, mismatch in the multiphase region was observed during compositional space testing. Such subtle but significant flaws in machine learning methods have profound implications for the accurate physics of carbon storage projects. This article, therefore, presents advantages and disadvantages of employing ML for thermodynamic calculations, emphasizing the intricate balance between computational efficiency and representative physics.
NEW PREBIOTIC FEED SUPPLEMENT: HEMATOLOGICAL AND IMMUNE STATUS OF WEANED PIGLETS
Authors:   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, GORLOV I.F. ,   Volgograd State Technical University, ANISIMOVA E.Yu. ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, ABRAMOV S.V. ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, KARPENKO E.V. ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production; Volgograd State Technical University, LAZAREVA E.Yu. ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, GRISHIN V.S. ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, STARODUBOVA Y.V. ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production
Published: March 2024

In the article the results of study of a new high-energy feed supplement, including a prebiotic component and a vitamin-mineral complex are stated. A farm-scientific experiment was conducted on weaned piglets of a large white breed. In this research hematological indicators, characterizing the level of protein metabolism, the transport function of blood, the intensity of the leukocyte reaction, as well as the level of immunoglobulins G, M and A, characterizing the intensity of the functioning of the humoral immunity of piglets, were analyzed. It has been established that the inclusion of the studied feed supplement in the diets of experimental animals increases the body's resistance, decreases the negative consequences of the adaptation period during weaning and transfer into the rearing workshop, improves the physiological state, and intensifies metabolic processes.
THE EFFECT OF A FEED ADDITIVE WITH A PROBIOTIC ON THE PRODUCTIVITY OF SUCKLING PIGLETS
Authors:   MeatProm LLC, NEOBUTOVA M.A. , DOROFEEVA S.G. ,   VIC Group
Published: March 2024

The article provides findings of the farm scale trial on feeding suckling piglets with the probiotic feed additive Bactocel in the MeatProm farm (Altai region). The paper also presents a comparative assessment of productivity and safety of suckling piglets management period.
Impacto económico en las fincas cafeteras de Colombia
Authors: Suárez-Rubio Rodolfo , Carvajal-Monroy Felipe
Published: March 2024

El sistema de información de costos, con los registros obtenidos a nivel de finca, realizado por el Proyecto Gestión Inteligente del Agua – Manos al Agua y el Servicio de Extensión de la Federación Nacional de Cafeteros (Plan 2000F), viene suministrando informes para los cafeteros sobre los resultados económicos del negocio junto con un reporte, con el cual puede compararse con otros productores y lograr eficiencia en el manejo de costos de la empresa.
Guía para la evaluación de la huella hídrica de café en colombia
Authors: Rojas Acosta Juan Mauricio , Rodríguez-Valencia Nelson , Romero-Sanchez Miguel Antonio , De Miguel García Angel , Montes María Angélica , Quintero-Yepes Laura Vanessa
Published: March 2024

El proyecto Manos al Agua-GIA, consideró importante contribuir a la medición de la Huella Hídrica del Café de Colombia, para que a partir del conocimiento generado bajo las condiciones agroecológicas de la producción nacional, se realice una contribución que con el soporte técnico y científico sea la base para la toma de decisiones en diferentes ámbitos y al desarrollo de recomendaciones para que los caficultores bajo el concepto de Buenas Prácticas puedan implementar y contribuir a la gestión integral del recurso hídrico.
An evaluation of the USA s Africa policy since the Cold War
Authors: Çelik Ahmet
Published: March 2024

In this study, the African policy of the USA has been analyzed. In the bipolar world, in the competition with the Soviet Union and communist ideology, Africa was seen as a geography that should not be lost to its rivals in American foreign policy. It is observed that the interest of the USA, which became the sole power of the international system with the collapse of the Soviet Union, in Africa decreased in the first years of the post-Cold War period. However, after the terrorist attacks that took place in his country at the beginning of the twenty-first century, with the effect of the energy reserves that started to be discovered in the continent and the increasing interest of the great powers such as China, the EU, India, Japan and Russia towards Africa, the USA started military operations in Africa during the Bush era. By increasing its presence, it established a separate command responsible only for the continent and became the foremost commercial partner of the continental countries. With the presidents who came to power later, the interest in Africa decreased compared to the Bush era. In the Obama and Trump eras, it is seen that the USA lost its quality of being the most important trade partner of Africa to China and the EU. Therefore, it is seen that Africa, which rose to an important position in American foreign policy in 2001-2008, decreased in the following years. In this study, it will be emphasized how the 2008 economic crisis and the desire of the USA to reduce its dependence on foreign energy made a change in the African policy of the USA. With China's increasing interest in Africa, the fact that the continent has become a competition area of great powers will be discussed.
The life of Dr. Hu Shih as a scientist, diplomat, revolutionary and politician
Authors: Nuhut Özgür
Published: March 2024

Dr. Hu Shih is a Chinese scientist, especially a philosopher in education, diplomat and leading advocate of political liberalism. But he is also a very important Elite in the history of Chinese and Taiwanese culture, with wide interests. It has contributed greatly to the adoption of the spoken language as an official writing language. As an influential supporter of American pragmatism, he advocated the creation of a new society through mass education rather than a political revolution. Dr. Hu Shih was born in Shanghai on December 17, 1891 and died in Taiwan on February 24, 1962. This study is conducted to reveal the biography of Dr. Hu Shih, a distinguished Chinese scientist, along with his intellectual, literary and political personality. Our goal while making this study is not only to tell his life story, but also to establish a relationship between his ideas and actions, and especially to reveal his contributions to the intellectual and cultural life of China and the world. The important thing is that no matter how much he tries to stay away from politics, his contributions to the cultural and political development of China and then Taiwan with his duties and liberal ideas will be demonstrated.
A South Asian Identity Constructed By The Indo-Pacific Discourse: India
Authors: Yildiz Merve
Published: March 2024

It has been estimated that by 2050, four of the top five economies in the world will all be in Asia, with India, Japan and Indonesia all taking a spot alongside China in surpassing the United States, and revealing a global shift toward the Asian axis. While the Asia-Pacific discourse that has emerged since the Cold War promotes a China-centered understanding of Asia, a South Asian country, India, is emerging as a second rising power on the Asian continent and is taking a central position in the region. The continuing discourse will play an active role in the construction of a South Asian identity and its acceptance in the international arena.
A Self-consistent Data-driven Model for Determining Stellar Parameters from Optical and Near-infrared Spectra
Authors: Sizemore Logan , Llanes Diego , Kounkel Marina , Hutchinson Brian , Stassun Keivan G. , Chandra Vedant
Published: March 2024

Data-driven models, which apply machine learning to infer physical properties from large quantities of data, have become increasingly important for extracting stellar properties from spectra. In general, these methods have been applied to data in one wavelength regime or another. For example, APOGEE Net has been applied to near-IR spectra from the Sloan Digital Sky Survey (SDSS)–V APOGEE survey to predict stellar parameters (T
eff, log g, and [Fe/H]) for all stars with T
eff from 3000 to 50,000 K, including pre-main-sequence stars, OB stars, main-sequence dwarfs, and red giants. The increasing number of large surveys across multiple wavelength regimes provides the opportunity to improve data-driven models through learning from multiple data sets at once. In SDSS-V, a number of spectra of stars will be observed not just with APOGEE in the near-IR, but also with BOSS in the optical regime. Here, we aim to develop a complementary model, BOSS Net, that will replicate the performance of APOGEE Net in these optical data through label transfer. We further improve the model by extending it to brown dwarfs, as well as white dwarfs, resulting in a comprehensive coverage between 1700 < T
eff < 100,000 K and 0 <

log
g

< 10, to ensure BOSS Net can reliably measure parameters of most of the commonly observed objects within this parameter space. We also update APOGEE Net to achieve a comparable performance in the near-IR regime. The resulting models provide a robust tool for measuring stellar evolutionary states, and, in turn, enable characterization of the star-forming history of the Galaxy.
Self-consistent Atmosphere Representation and Interaction in Photon Monte Carlo Simulations
Authors: Peterson J. R. , Sembroski G. , Dutta A. , Remocaldo C.
Published: March 2024

We present a self-consistent representation of the atmosphere and implement the interactions of light with the atmosphere using a photon Monte Carlo approach. We compile global climate distributions based on historical data, self-consistent vertical profiles of thermodynamic quantities, spatial models of cloud variation and cover, and global distributions of four kinds of aerosols. We then implement refraction, Rayleigh scattering, molecular interactions, and Tyndall–Mie scattering to all photons emitted from astronomical sources and various background components using physics first principles. This results in emergent image properties that include: differential astrometry and elliptical point spread functions (PSFs) predicted completely to the horizon, arcminute-scale spatial-dependent photometry variations at 20 mmag for short exposures, excess background spatial variations at 0.2% due to the atmosphere, and a PSF wing due to water droplets. We use a common atmosphere representation framework to self-consistently model all phenomena by simulating individual photons. We reproduce the well-known correlations in image characteristics: correlations in altitude with absolute photometry (overall transmission) and relative photometry (spectrally dependent transmission), anticorrelations of altitude with differential astrometry (nonideal astrometric patterns) and background levels, and an anticorrelation in absolute photometry with cloud depth. However, we also find further subtle correlations including an anticorrelation of temperature with background and differential astrometry, a correlation of temperature with absolute and relative photometry, an anticorrelation of absolute photometry with humidity, a correlation of humidity with lunar background, a significant correlation of PSF wing with cloud depth, an anticorrelation of background with cloud depth, and a correlation of lunar background with cloud depth.
Anthropogenic Coal Ash as a Contaminant in an Underwater Search. II. Beyond Beryllium, Lanthanum, and Uranium
Authors: Gallardo Patricio A.
Published: March 2024

It has been shown that the Beryllium, Lanthanum and Uranium concentrations in the “BeLaU” spherules are in the expected ranges of coal ash. It is reported that the average elemental concentration of 12 microspherules can be found in the COALQUAL database in 98% (49/50) of the elements examined. The “BeLaU pattern” is found to be not unique, it can be reproduced using a coal ash standard (SRM1633a) and a chondritic normalization. The ratio of rare-earth elements in the “BeLaU” spherules and the SMR1633a sample is of order unity. Comparisons against SRM1633a return only two elements with abundances statistically significantly lower than the coal ash standard of reference (or fractions of order unity), agreeing in 96% (52/54) of the elements tested. No elements show higher abundance than 10× the reference standard. Terrestrial coal ash is curiously very similar to the collected spherules. Origin from a recent meteoritic event remains uncertain.
Lunar Boulder Fields as Indicators of Recent Tectonic Activity
Authors: Nypaver Cole , Watters Thomas , Thomson Bradley , Bramson Ali , Cahill Joshua , Clark Jaclyn , Elder Catherine , Fassett Caleb , Morgan Gareth , Pérez Cortés Santa Lucía , Powell Tyler
Published: March 2024

Wrinkle ridges are the predominant tectonic structure on the nearside lunar maria. Although lunar wrinkle ridge formation began as early as ∼3.9–4.0 Ga, recent investigations have identified wrinkle ridges in the lunar maria that were tectonically active as recently as the Copernican period of lunar geologic history. Some of those geologically young wrinkle ridges were identified by the presence of dense fields of meter-scale boulders on their scarps and topographic crests. Other investigations have identified recently active lunar wrinkle ridges that lack the ubiquitous presence of boulder fields, thereby rendering the presence of boulder fields ambiguous in the search for ongoing tectonic activity on the Moon. Here we assess boulder populations associated with 1116 wrinkle ridge segments on the lunar maria that are inferred to be recently active (<1.5 Ga) based on their crisp morphologies and crosscutting relationships with small impact craters. We utilize data from the Lunar Reconnaissance Orbiter Mini-RF and Diviner Lunar Radiometer Experiment instruments to assess surface rock populations across these recently active structures. Our results indicate that, where present, meter-scale boulder fields are likely indicators of fault-slip-induced ground acceleration given the short lifespan of lunar surface boulders. However, elevated boulder populations are not observed on all recently active ridges analyzed here. This latter observation supports the notion that wrinkle ridge boulder fields are a nonunique indicator of recent tectonic activity. Furthermore, the spatial distribution of those boulder fields indicates that variable mare protolith properties may play a role in boulder field formation.
Managing the concept of hospitality to stimulate behavioural loyalty – a post-pandemic challenge for hotel managers in the luxury sector
Authors: Othmani Leila , Lichy Jessica , Ben Khelil Haykel , Bahri-Ammari Nedra
Published: March 2024

Basé sur une enquête (n=350) dans les hôtels de luxe, cet article développe un modèle explicatif de l'impact de l'hospitalité sur la fidélité comportementale. En Tunisie, les résultats montrent que la fidélité à la marque et le prosélytisme sont influencés par l'hospitalité à travers la satisfaction du client et l'attachement à la marque. L'étude est pertinente pour les hôteliers qui développent une stratégie de marketing pour promouvoir le concept d’hospitalité afin d'établir et de maintenir la fidélisation de la clientèle. Les résultats appuient le modèle conceptuel et l'importance de l'introduction de la composante affective. L'étude explique les mécanismes de l'hospitalité et de la fidélité comportementale dans les hôtels de luxe, et elle a par conséquence une résonance pour d'autres zones de la région MENA. Les implications sont développées pour offrir un aperçu de l'hospitalité dans l'ère postpandémique.
Separable algebras in multitensor C$ ^* $-categories are unitarizable
Authors: Giorgetti Luca , Yuan Wei , Zhao XuRui
Published: March 2024

S. Carpi et al. (Comm. Math. Phys., 402 (2023), 169–212) proved that every connected (i.e., haploid) Frobenius algebra in a tensor C$ ^* $-category is unitarizable (i.e., isomorphic to a special C$ ^* $-Frobenius algebra). Building on this result, we extend it to the non-connected case by showing that an algebra in a multitensor C$ ^* $-category is unitarizable if and only if it is separable.
Culinary tourism in natural protected areas: The case of the Cuxtal Ecological Reserve in Yucatan, Mexico
Authors: González-Alejo Ana Laura , Neger Christoph
Published: March 2024

The Cuxtal Ecological Reserve is located in the urban periphery of Merida. This reserve represents an element of tourist interest due to the diversity of tourist resources, although these have not been recognized yet. In addition, most of the local population has traditional culinary knowledge, which is little explored from a tourist perspective. This article proposes to identify the culinary resources of the reserve to elaborate a culinary map. The study is based on in-depth interviews with residents to assess their culinary knowledge, visitor surveys, and the field´s traditional food and agricultural product mapping. The results show that it has the potential to develop culinary tourism. Gastronomy can play an important role in boosting the local economy and conserving culinary identity among the inhabitants under the pressure of ultra-processed food from Merida.
Crowds of women against patriarchal violence: a discursive analysis of feminist cries in Argentina, Brazil and Chile (2015–2020)
Authors: Castro Amanda Reis de , Morais Argus Romero Abreu de
Published: March 2024

This work aimed to perform an analysis of three discursive formulas (Krieg-Planque, 2010) observed in feminist manifestations in Argentina, Brazil and Chile between 2015 and 2020, namely “Ni Una Menos”, “Ele Não” and “Nunca Más Sin Nosotras”. In the first section we evaluated the feminist movements in the three countries. We focused on the political and social factors that form them, as well as on how they oppose the patriarchal violence prevalent in these territories. In the second section we reviewed the category “discursive formula” and proposed a different interpretation which takes into account the concepts of “collective cry” and “crowd”. Finally, in the third section we analyzed the three cries. A study of this kind contributes to debates on collective cries in Latin American contexts.
De l’Italie à la France, chanter la Résistance avec Bella Ciao
Authors: Sini Lorella
Published: March 2024

Dans cette étude, nous revisiterons la destinée du chant populaire Bella Ciao en Italie et en France, en mettant l’accent sur ses caractéristiques rythmiques, linguistiques et narratives qui ont pu, en partie, déterminer son succès. Nous montrerons en quoi ce chant est susceptible de mobiliser les foules dans la construction collective d’un ethos de combat et comment il cristallise encore aujourd'hui les antagonismes politiques en Italie en donnant lieu à une véritable guerre des mémoires. Le succès renouvelé de ce chant en France a été promu par les descendants d’immigrés italiens, modèles d’intégration, qui transmettent le lointain souvenir des récits de la Résistance et de révolte au sens large. Mais si ce chant est susceptible d’accompagner aussi bien des revendications sociales que des valeurs universelles de liberté contre tout obscurantisme, sa diffusion internationale sur le marché global risque en revanche de diluer sa force performative de mobilisation civique, en le vidant de son poids mémoriel.
Waste-to-Energy Solutions Harnessing IoT and ML for Sustainable Power Generation in Smart Cities
Authors: Vashishth Tarun Kumar , Sharma Vikas , Sharma Kewal Krishan , Kumar Bhupendra , Chaudhary Sachin , Panwar Rajneesh
Published: March 2024

This chapter explores waste-to-energy (WtE) solutions empowered by the integration of internet of things (IoT) and machine learning (ML) for sustainable power generation in smart cities. By leveraging IoT sensors, real-time data acquisition optimizes waste management processes, and ML algorithms enhance operational efficiency. The potential impact of these technologies on WtE's future includes predictive maintenance, waste sorting automation, and adaptive energy production. The role of WtE in smart cities extends to decentralized energy generation, integrated waste management, and fostering circular economy principles. This study calls for further research and the adoption of sustainable practices to propel WtE as a key component in the future energy landscape of smart and resilient urban environments.
Empowering Users
Authors: Clifford Monica Janet , Kavitha R.
Published: March 2024

It is crucial to arm users with the information and resources they need to protect their online presence in the dynamic world of cybersecurity, where threats are evolving at an alarming rate. This chapter examines contextual marketing as a potent strategy for delivering cybersecurity education and solutions. In order to effectively engage consumers and inform them about cybersecurity risks and best practices, contextual marketing is the strategic application of customised content and resources supplied at the appropriate time and in the appropriate environment. The chapter tackles the underlying difficulties that consumers confront in comprehending and managing their cybersecurity requirements. It emphasizes how critical it is to plug the knowledge gap by giving users access to information that is pertinent to their situation and degree of comprehension. By creating user-centric experiences, contextual marketing enables cybersecurity educators and solution providers to maximize the effect of their work. This chapter delivers several contextual marketing strategies that have been productive in enhancing users' cybersecurity awareness and skills. It accomplishes so by drawing on real-world examples and case studies. Educational activities can be made engaging and easily remembered by adapting messages, tutorials, and resources to meet users' roles, interests, and habits. The chapter also looks at how sophisticated cybersecurity solutions and contextual marketing work together. It exemplifies the benefits of context-aware security systems. The chapter concludes by arguing in favour of incorporating contextual marketing principles into cybersecurity instruction and solution delivery. Contextual marketing paves the way for a more informed and cyber-aware society that is better able to face the ever-evolving challenges of the digital world by providing users with personalized, timely, and relevant information.
Understanding the Concept, Evolution, and Key Technologies Shaping Industry 4.0
Authors: Herath Siriyama Kanthi , Herath Laksitha Maheshi
Published: March 2024

One of the most revolutionary paradigms of modern industrial history, Industry 4.0, will be thoroughly explained in this chapter. The fourth industrial revolution's concept, history, and basic technologies are all addressed in this chapter, which also highlights how it will affect other industries such as manufacturing and automated procedures. Industry 4.0, or the “Fourth Industrial Revolution,” refers to a revolutionary period that is changing the way companies function and manufacture things. Due to their creative use of networked sensors and cutting-edge software, the intricate machinery and equipment of Industry 4.0, driven by the convergence of digital technology, data-driven processes, and intelligent automation, stand out. Industry 4.0, which encourages a complete, networked strategy in which intelligent goods collaborate for decentralized decision-making, forces businesses to review their strategies. Industry 4.0 creates intelligent, adaptable industrial ecosystems that can be optimized in real time by embracing big data analytics and the internet of things.
Sustainability in the Digital Age
Authors: Sindiramutty Siva Raja , Jhanjhi NZ , Tan Chong Eng , Wei Goh Wei , Hamzah Norhidayah , Akbar Rehan
Published: March 2024

This chapter explores the convergence of Industry 4.0 technologies and sustainable supply chain practices, presenting a comprehensive overview of these digital advancements' transformative potential. The chapter begins by defining the intersection between sustainability and Industry 4.0, emphasizing the pivotal role of digital technologies in fostering environmentally and socially responsible supply chains. With clear objectives in mind, the exploration delves into the impact of key digital technologies on responsible supply chain practices. The discussion spans the utilization of the internet of things (IoT) for real-time sustainability monitoring, big data analytics for informed decision-making, and the integration of robotics to enhance ethical manufacturing.
Supply Chain Management Using Fermatean Fuzzy-Based Decision Making With ISSOA
Authors: Thirumalraj Arunadevi , Anandhi R. J. , Revathi V. , Stephe S.
Published: March 2024

The goal of this research is to create a decision-making process for sustainable supplier selection and order allocation that is known as Fermatean Fuzzy Sets-Based Decision Making (FFS-DMS). The Improved Salp Swarm Optimization (ISSO) approach is used to pick suppliers and allocate the best order quantities. The suggested FFS-ISSA-DMS technique's viability and efficacy are proven through empirical experiments. With an astounding 99.81% accuracy rate, this method outperforms other models that are already in use in this situation.
Culinary Narratives and Community Revitalization
Authors: Jain Vishal , Mitra Archan
Published: March 2024

This discussion examines how media promotes sustainable gourmet tourism and community development. Gastronomy tourism explores the cultural, historical, and social aspects of gastronomy, which boost community pride and economic growth. The move from traditional to digital media, especially social media and influencer marketing, has a major impact on culinary tourism. Successful media campaigns for global gourmet tourism are shown in case studies. The difficulties of balancing commercialization with authenticity and ethical cultural portrayal are carefully examined. Future advances may include using VR and AR to enhance tourist experiences and encourage culinary tourism. Community engagement and sustainable practices in gourmet tourism are stressed, as is the role of media in promoting and preserving cultural heritage. The conversation concludes with acknowledging media's dynamic and complicated impact.
Bioinformatics in Agriculture and Ecology Using Few-Shots Learning From Field to Conservation
Authors: Shinde Jayashri Prashant , Nayak Smitha , Ajalkar Deepika Amol , Sharma Yogesh Kumar
Published: March 2024

The integration of bioinformatics with contemporary machine-learning algorithms is transforming sustainable practices and conservation activities in biology and agriculture. Plant disease identification is an area where few-shot learning (FSL) excels because of data scarcity. This study applies FSL to computational biology to tackle agricultural and environmental concerns. Bioinformatics has a significant influence on sustainable farming and research, according to the report. The chapter introduces few-shot learning, and shows how it may address the lack of labelled data in several disciplines. Case studies, including explanations, demonstrate the manner in which the FSL method is widely used in ecological surveillance, environmental programs, and crop supervisors. The essay discusses ethical issues around machine learning in ecological systems and agriculture, emphasizing open and responsible data methods.
An Overview and Analysis of Machine Learning Classification Algorithms in Healthcare
Authors: Saha Soumitra
Published: March 2024

To decode a wide range of complex and challenging problems around us, we must utilize the data that already exists in our surroundings as effectively as possible. This data will be functional in diverse fields in everyday life, and the data plays the most crucial role in healthcare and medicine, finance and banking, and information technology. The first, foremost, and prime reason for forming or generating this big data is the increasing complexity of real-world problems, which takes considerable work to implement. For example, in healthcare and medicine, extensive data are needed to detect deadly diseases like cancer, cardiovascular diseases, and HIV/AIDS effectively. Classification algorithms are the essential and substantial machine learning algorithms used to decode numerous challenging real-life problems in the healthcare industry. Implementing the algorithm encounters fewer problems regarding time and space and comparatively better interpretability and scalability. Through this study, the authors have demonstrated how different classification algorithms perform in the healthcare system.
Unveiling the Potential
Authors: Lilhore Umesh Kumar , Simaiya Sarita
Published: March 2024

In the rapidly evolving field of bioinformatics, the surge in biological data necessitates innovative approaches for practical analysis and comprehension. This chapter presents an in-depth exploration of the potential applications of deep learning and transfer learning methods, showcasing their transformative impact on various facets of bioinformatics research. Deep learning methodologies significantly enhance the capacity to extract intricate patterns and features from diverse biological datasets, fostering a more profound understanding of genomic, proteomic, and metabolomic dynamics. Additionally, transfer learning assumes a pivotal role in optimizing model performance, particularly in scenarios where labeled data is scarce, by leveraging knowledge acquired from pre-trained models. The integration of deep learning and transfer learning techniques in bioinformatics yields valuable insights, serving as a guiding framework for researchers and practitioners aiming to harness the full potential of these methodologies in deciphering the complexities of biological systems.
Green Human Resource Management in the Spanish Wine Industry
Authors: Falcó Javier Martínez , Sánchez-García Eduardo , Marco-Lajara Bartolomé , Millán-Tudela Luis A. , Popescu Cristina Raluca Gh.
Published: March 2024

The objective of this research is to assess the impact of green human resource management (GHRM) on the economic, social, and ecological outcomes within Spanish wineries. To analyze the cause-and-effect dynamics accurately, variables such as the winery's age, size, and protected designation of origin (PDO) status were included as controls. A theoretical model was constructed and assessed using structural equation modeling (SEM). The data for this evaluation was sourced from a survey of 196 wineries in Spain, conducted over the period from September 2022 to January 2023. The results underscore a meaningful and positive association between the implementation of GHRM practices and improved performance metrics across the three categories, specifically in the Spanish wine industry context.
The Role of Circular Economy in Sustainable Resource Management
Authors: Shenoy Neha , Pallavi J. , Kachhi Zidan
Published: March 2024

This chapter explores the intricate interrelationship between sustainability and HRM. The circular economy surfaces as a paradigm-shifting idea that calls on companies to give diversity, skill development, and worker well-being priority. The chapter focuses on promoting the healing principles of the circular economy. The chapter examines the dynamic character of sustainable HRM and India's creative plastic highways. The chapter emphasizes social responsibility, environmental stewardship, and economic sustainability before concluding with IKEA's devotion to the TBL paradigm. Green recruitment and training are gaining relevance in the shifting landscape, strategically harmonizing with sustainability aims. Challenges in the circular economy necessitate strategic solutions that emphasize teamwork, training, and good communication. This chapter offers a comprehensive analysis of historical foundations, practical applications, and leadership commitment that leads to success stories, providing significant insights for organizations wanting to create a sustainable future.
Promoting Diversity and Inclusivity Through Service Learning in Higher Education
Authors: Singha Surjit
Published: March 2024

This chapter explores the profound impact of service learning on Higher Education, focusing on its capacity to foster inclusive and diverse environments. Forming the basis of theoretical frameworks such as critical pedagogy and transformative learning, service learning provokes significant changes in students' perspectives. This chapter examines faculty development, curriculum integration, and assessment in depth, highlighting the mutually beneficial nature of community partnerships. Emerging trends, such as integrating technology and adopting global perspectives, highlight the dynamic nature of service learning. By combining academic knowledge with practical experiences, service learning influences the trajectory of higher education by promoting intellectual development, nurturing social responsibility, encouraging diversity, and encouraging global engagement.
Service-Learning in Higher Education Marketing Courses
Authors: Vazquez-Carrasco Rosario , Olavarria-Jaraba Ana , Grott Emily Mary , Ramon-Jeronimo Maria Angeles
Published: March 2024

This work focuses on presenting a service-learning experience, resulting from the concern of the teaching staff as to the extent to which students of the business faculty, in particular marketing students, acquire a service orientation during their degree studies, as this can help guide them in their future careers. As such, service-learning methodology is proposed as an appropriate means to foster a service orientation. The results show that service-learning can stimulate a service orientation in students, help develop a social dimension and gain knowledge of marketing. This specific service-learning experience involved developing a marketing plan in profit and non-profit organizations.
Victim-Offender Mediation as a Model of Restorative Justice
Authors: El-Kady Ramy
Published: March 2024

This chapter delves into the emergence of restorative justice in the 1960s, rooted in the conflict resolution methods of indigenous communities in the United States and Canada. Contrasting sharply with traditional criminal justice, restorative justice places disputing parties at the forefront, enabling offenders to confess their guilt directly to victims through dialogue, aiming to repair harm and achieve satisfaction and social reintegration. This chapter illuminates restorative justice's concept, origins, characteristics, principles, and differences from conventional justice. It explores victim-offender mediation, highlighting its advantages, and examines restorative justice practices in Egypt, including the criminal reconciliation system and police mediation. This chapter raises key questions about these practices and their application in the Arab context, offering insights into a field yet to gain widespread recognition in the region. Employing an analytical descriptive approach, it relies on legal references to deepen understanding and development.
Non-Human Animals as Victims of Crime
Authors: Pinto Filipa
Published: March 2024

The movements advocating for the rights of non-human animals have their origins in ancient times, albeit their relevance in the present day. Given that relevance, and since Victimology typically centers solely on human experiences, there's the need for an approach that extends beyond humanity to recognize victimization's broader dimensions. With that in mind, this chapter focuses on dismantling the anthropocentric perspective on crime, emphasizing the crucial need to extend consideration to non-human animals as well. By challenging the status quo, it aims to prompt a shift toward incorporating non-human animals into our comprehension of criminality, and, therefore, advocates for the recognition of the rights of non-human animals. In summary, this chapter argues for a more comprehensive understanding of crime, that encompasses both human and non-human experiences, and highlights the importance of studying this type of violence within the field of Criminology, benefiting not only the scientific community but also extending support to victims who, for a long time, have been overlooked.
Advancing Health Literacy in the Technological Era
Authors: Tomé Ana , Neves Rosa Marlene Cristina , Silva Emanuel
Published: March 2024

Body awareness is a relevant concept for healthy aging related to movement harmony, and consists of different connections between different body functions. Balance regulation depends on the integrity of proprioception and strength in different parts of the body. New approaches to promote body awareness literacy are vital and game-based active techniques represent one of the important solutions. This chapter results from a narrative literature review, and it intends to a) explore body awareness determinants and their relevance for health literacy in the aging process; and b) discuss new approaches for developing programs in body awareness literacy, exploring game-based active techniques. The user-centered approaches, like serious games, can facilitate health education, and improve health literacy and body awareness, maximizing health outcomes in older people. This chapter seeks to offer innovative health education strategies, equipping older adults with tools to improve body awareness and well-being through interactive game-based methods.
Land evaluation and crop suitability analysis – A case study on Karachchi Divisional Secretariat, Kilinochchi District, Sri Lanka
Authors: Aginthini Amarasingam , Udayakumara E. P. N. , Arasakesary S. J. , Banujan Kuhaneswaran
Published: March 2024

Agricultural development in any region needs knowledge about the soils, their properties, and spatial distribution. Crop-land maps created using land evaluation are essential for land management. The research was conducted to develop a crop-land suitability map with “Highly Suitable”, “Moderately Suitable” and “Currently Not Suitable” categories for Karachchi Divisional Secretarial Division (DSD) (438.2 square kilometers) by analyzing soil quality. Twelve parameters and 63 sample locations were selected. Weather data such as rainfall, temperature, and relative humidity were collected from secondary sources. A slope map was created using the Digital Elevation Model (DEM) file, and the constructed questionnaire was used to obtain the drainage details. Soil depth was deduced from the wells and soil pits. The collected soil samples were analyzed to determine the parameters such as pH, electric conductivity, the sum of basic cations, base saturation, soil texture, and organic carbon. Each parameter was reclassified using ArcGISTM 10.4.1 to create parameter maps. After that, an analytical hierarchical process (AHP) was applied to each crop, and then each parameter was reclassified again with reference to FAO’s 1993 crop requirement criteria. Finally, the Weighted Overlay Analysis (WOA) was conducted to obtain the crop-land suitability map. The study revealed that 50% of the study area falls under the “Highly Suitable” category for coconut cultivation. Rain-fed paddy shows that 45% of the study area is “Moderately Suitable”. Irrigated paddy has a “Moderately Suitable” area of 48%, while nearly 51% is “Moderately Suitable” for onion. 17% of the land is “Highly Suitable” for groundnuts. The pineapple is “Highly Suitable” for 12% of the study area. A crop-land suitability map for Karachchi DSD was created. This map will be a guide for land planning decision-makers.
The Role of Coinhibitory Receptors in B Cell Dysregulation in SARS-CoV-2–Infected Individuals with Severe Disease
Authors: Saito Suguru , Bozorgmehr Najmeh , Sligl Wendy , Osman Mohammed , Elahi Shokrollah
Published: March 2024

Severe SARS-CoV-2 infection is associated with significant immune dysregulation involving different immune cell subsets. In this study, when analyzing critically ill COVID-19 patients versus those with mild disease, we observed a significant reduction in total and memory B cell subsets but an increase in naive B cells. Moreover, B cells from COVID-19 patients displayed impaired effector functions, evidenced by diminished proliferative capacity, reduced cytokine, and Ab production. This functional impairment was accompanied by an increased apoptotic potential upon stimulation in B cells from severely ill COVID-19 patients. Our further studies revealed the expansion of B cells expressing coinhibitory molecules (PD-1, PD-L1, TIM-1, VISTA, CTLA-4, and Gal-9) in intensive care unit (ICU)–admitted patients but not in those with mild disease. The coinhibitory receptor expression was linked to altered IgA and IgG expression and increased the apoptotic capacity of B cells. Also, we found a reduced frequency of CD24hiCD38hi regulatory B cells with impaired IL-10 production. Our mechanistic studies revealed that the upregulation of PD-L1 was linked to elevated plasma IL-6 levels in COVID-19 patients. This implies a connection between the cytokine storm and altered B cell phenotype and function. Finally, our metabolomic analysis showed a significant reduction in tryptophan but elevation of kynurenine in ICU-admitted COVID-19 patients. We found that kynurenine promotes PD-L1 expression in B cells, correlating with increased IL-6R expression and STAT1/STAT3 activation. Our observations provide novel insights into the complex interplay of B cell dysregulation, implicating coinhibitory receptors, IL-6, and kynurenine in impaired B cell effector functions, potentially contributing to the pathogenesis of COVID-19.
Lessons learned from qualitative fieldwork in a multilingual setting
Authors: Verma Shweta Jain
Published: March 2024

Qualitative research conducted in a multilingual setting is an arduous, yet essential, endeavour. As part of my PhD research program, I set out to conduct qualitative process evaluation of a stroke trial in 11 languages in the Indian subcontinent. In this article, I reflect upon the challenges, oversights, and successes that I experienced in the hope of offering insight of use to fellow researchers conducting healthcare fieldwork in multicultural contexts where many languages are spoken. My account starts with a description of the setting’s context and the necessity of conducting research in multiple languages. I elaborate on the planning of the study which included selection of the sample and preparation of relevant documents, including informed consent in patients’ languages. Subsequent steps entailed submission and approval of requisite documents, setup and training of a research team, and conducting interviews using interpreters. During this process, I developed a hybrid technique for conducting interviews that reduced fatigue for both patient interviewees and interpreters while still yielding in-depth insights. Additionally, I discuss the benefits of engaging professional translators for performing translations. Finally, I introduce a stepwise approach to facilitate the thematic analysis of qualitative data. I believe this account will encourage and empower researchers to pave their own way while anticipating and preparing for potential obstacles when conducting research in similar settings.