bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPLEX REVITALIZATION OF HISTORICALLY FORMED INDUSTRIAL TERRITORIES IN KYIV IN POST-WAR RECOVERY
Authors: Leshchenko Nellya , Gulei Daryna
Published: January 2024

The article is aimed at considering revitalization as a complex renewing method and a component of the complex process of restorative-reconstructive transformations of the historical urban environment. The effectiveness of complex revitalization with the involvement of various restoring and renewing methods has been proven. It allows at different system levels to revive and improve the quality of heterogeneous in terms of historical and architectural value and destruction of the historical urban environment, which usually includes the historically formed industrial territories. Such heterogeneity of the historical urban environment, reinforced over the last year by the devastating consequences of the war, today is characteristic of Kyiv and many cities of Ukraine, and therefore the proposed methodology is extremely relevant. The analysis of the experience of revitalizing former industrial territories of Lodz, as the most successful among the cities of Poland – the country with the closest historical, cultural, and architectural ties to Ukraine, is extremely valuable for pre-project studies of neglected and ruined historically formed industrial territories of Kyiv. The proposed concept of revitalizing degraded former industrial territories in Podil and on Radyshcheva Street in Kyiv has demonstrated the effectiveness of the proposed methodology.
Librating Kozai–Lidov Cycles with a Precessing Quadrupole Potential Are Analytically Approximately Solved
Authors: Klein Ygal Y. , Katz Boaz
Published: January 2024

The very long term evolution of the hierarchical restricted three-body problem with a slightly aligned precessing quadrupole potential is investigated analytically for librating Kozai–Lidov cycles (KLCs). Klein & Katz presented an analytic solution for the approximate dynamics on a very long timescale developed in the neighborhood of the KLCs' fixed point where the eccentricity vector is close to unity and aligned (or anti-aligned) with the quadrupole axis and for a precession rate equal to the angular frequency of the secular Kozai–Lidov equations around this fixed point. In this paper, we generalize the analytic solution to encompass a wider range of precession rates. We show that the analytic solution approximately describes the quantitative dynamics for systems with librating KLCs for a wide range of initial conditions, including values that are far from the fixed point, which is somewhat unexpected. In particular, using the analytic solution, we map the strikingly rich structures that arise for precession rates similar to the Kozai–Lidov timescale (ratio of a few).
Genetic diversity of three consecutive selective breeding generations in Pseudobagrus vachellii (Actinopterygii: Siluriformes: Bagridae)
Authors: Wang Huan , Duan Guoqing , Zhou Huaxing
Published: January 2024

Pseudobagrus vachellii (Richardson, 1846) is a commercially important freshwater fish species in China. To understand the effects of artificial breeding on the genetic diversity of three consecutive P. vachellii breeding populations (F1, F2, and F3) since 2012, a genetic analysis was conducted using polymorphic microsatellite markers. The mean allele number, expected heterozygosity, observed heterozygosity, and the polymorphic information content from generation F1 to F3 decreased from 7.75 to 5.63, from 0.77 to 0.63, from 0.83 to 0.77, and from 0.72 to 0.58, respectively. Analysis of molecular variance showed greater genetic divergence within the three generations (93.67%) than that among the generations (6.33%), and the overall differentiation level was moderate. Additionally, the lowest genetic differentiation was between F2 and F3 (Fst = 0.0484), and the highest was between F1 and F3 (Fst = 0.12864). Inbreeding occurred in each generation and was the highest in generation F3. Structural analysis showed that the three P. vachellii generations were most likely divided into two different genetic clusters. Although genetic diversity declined slightly in the mass selection lines after three breeding generations, overall genetic diversity was maintained at a relatively high level. To minimize the loss of genetic diversity and inbreeding in the subsequent breeding process, a moderate number of parents can be used for each generation. Information regarding the genetic diversity and structure of the selective P. vachellii breeding generations obtained in this study will be useful for future broodstock management and selective breeding programs.
First 3D reconstruction of a forewing of a fossil Orthoptera: Interpreting the venation pattern in the smallest known cricket with a stridulatory apparatus, †Picogryllus carentonensis (Orthoptera, Grylloidea, Oecanthidae)
Authors: Ferreira Jules , Josse Hugo , Denadai de Campos Lucas , Nel André , Desutter-Grandcolas Laure
Published: January 2024

Fossil insects are valuable indicators of the evolutionary history of the clades to which they belong. According to their state of preservation, fossil insects are often partially described for key morphological characters, such as forewing venation in crickets (Orthoptera, Grylloidea). In parallel, the use of 3D microtomography is increasingly becoming common for studying some fossils, which allowed here the precise reconstruction and interpretation of the venation pattern in the smallest known cricket with a stridulatory apparatus, †Picogryllus carentonensis, found in opaque amber. The 3D reconstructions have revealed the general structure of the venation of the forewing and have enabled the identification of all its veins and cells, validating its similarity with that of extant crickets. Putative homologies are established according to previous studies, and some particularities are observed, such as the presence of two crossveins in the mirror, a rare feature in extant crickets that is discussed in the frame of cricket venation evolution. These findings highlight the importance of 3D microtomography as a powerful tool for examining fossil insects and also provide crucial information for taxonomic identification and evolutionary studies, offering a validated morphological basis for future phylogenetic analyses incorporating fossils.
Computer implementation of the method for electrolytic production of thin films for biomedical applications: short review
Authors: Galashev Alexander
Published: January 2024

Optimizing the electrodeposition process condition requires considerable effort and time. The use of modeling and simulations can largely solve this problem. This short review is focused on the development of mathematical models and molecular dynamics simulations, which can be used to predict the electrodeposition of thin silicon and silicon carbide films using the KCl-KF-KI electrolyte. The use of computer simulations to obtain thin films of silicon nitride and silicon dioxide is considered. Silicon, silicon dioxide, silicon nitride, and silicon carbide are important biomedical materials. Additionally, we consider modeling the decomposition process of various precursors used as sources of Si4+ and C4+ ions for electrolytic deposition. The calculation of various physical properties of crystalline silicon and important modifications of silicon carbide, including the thermal conductivity, surface diffusion coefficients, and a detailed structure determined by constructing Voronoi polyhedra, are discussed. A computer model allows one to explore the use of “a defective silicene/silicon carbide” hybrid material as a lithium-ion battery anode. The possibilities for solving problems of processes optimization in modern methods for producing biomedical materials are discussed.
The uniqueness of meromorphic function shared values with meromorphic solutions of a class of q-difference equations
Authors: Wang Zhuo , Lin Weichuan
Published: January 2024

We first investigate the meromorphic solutions of a class of homogeneous second-order q-difference equations and the uniqueness problem for a meromorphic function with three shared values; then we discuss the uniqueness problem for the meromorphic solutions of a class of nonhomogeneous q-difference equations and a meromorphic function with four shared values.
Unlocking weight loss potential: Investigating the impact of personalized nutrigenetic-based diet in an Indian population
Authors: Lakshmi Duraimani Shanthi , Bhawna Sati , Junaid Ahmed Khan Ghori , Abinaya Selvanathan , Katherine Saikia , Ishita Lote , Geetika Ahluwalia , Hetal Gosar , Swetha Dharmaraj , Dhivya Bhatt , Akshada Kocharekar , Raunaq Salat , Aarthi Ramesh , Balamurali AR , Rahul Ranganathan
Published: January 2024

Obesity and its related complications have become a pressing public health issue, requiring personalized nutritional and lifestyle interventions. Nutrigenetic diets utilize genetic information to tailor dietary recommendations based on an individual's genetic variations. This case-control study aimed to evaluate the impact of a nutrigenetic diet on weight loss and clinical parameters. Three groups were included: obese individuals following a nutrigenetic diet (n = 27), obese individuals following a generic diet (n = 23), and a control group of individuals with a normal body mass index (BMI) (n = 19). Based on polygenic risk scoring, personalized diet plans were developed that considered various genetic traits such as the impact of high amounts of protein on weight loss, the impact of low amounts of carbohydrates on weight loss, the risk of a high body fat percentage, the impact of a calorie restriction on weight loss, lactose intolerance, and gluten intolerance. By assessing a subject's risk scores, a personalized diet was created. Measurements taken at baseline and after four months included weight, BMI, body fat, lean mass, fasting blood sugar levels, total cholesterol, triglycerides, thyroid-stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), and uric acid. Results showed significant differences favouring the nutrigenetic group in weight (p < 0.001), BMI (p < 0.001), and body fat percentage (p = 0.05) when compared to the control and the generic diet groups. Additionally, the nutrigenetic group exhibited significant improvements in triglycerides (p = 0.003). Moreover, the within-group effect among nutrigenetic subjects showed a significant weight reduction (p < 0.001), BMI (p < 0.001), body fat percentage (p < 0.001), fat mass (p < 0.001), fasting blood sugar level (p = 0.019), and uric acid (p = 0.042). These findings suggest that a nutrigenetic diet may yield more effective weight loss and improved clinical parameters compared to a generic diet.
Wealth Inequality in a Low Rate Environment
Authors: Gomez Matthieu , Gouin-Bonenfant Émilien
Published: January 2024

We study the effect of interest rates on wealth inequality. While lower rates decrease the growth rate of rentiers, they also increase the growth rate of entrepreneurs by making it cheaper to raise capital. To understand which effect dominates, we derive a sufficient statistic for the effect of interest rates on the Pareto exponent of the wealth distribution: it depends on the lifetime equity and debt issuance rate of individuals in the right tail of the wealth distribution. We estimate this sufficient statistic using new data on the trajectory of top fortunes in the U.S. Overall, we find that the secular decline in interest rates (or more generally of required rates of returns) can account for about 40% of the rise in Pareto inequality; that is, the degree to which the super rich pulled ahead relative to the rich.
L’universalité de l’usage de la dialectique par les âmes dans l’éthique plotinienne
Authors: Guigon Camille
Published: January 2024

Le but de cet article est d’expliquer comment la dialectique, telle qu’elle est décrite par Plotin, permet à toutes les âmes de remonter vers l’intelligible. La dialectique constitue la seconde étape de la remontée, la première étape étant celle constituée par la pratique des vertus. Ce faisant, Plotin s’oppose à Platon, qui considérait que la dialectique n’était accessible qu’à une minorité d’hommes, ceux dont l’âme avait correctement contemplé les idées avant de chuter.
Républicanisme versus écologisme. Quelle place pour la désobéissance civile écologiste à l’heure du contrat d’engagement républicain ?
Authors: Fondimare Elsa
Published: January 2024

En rejetant le recours formé par le préfet de la Vienne visant à retirer la subvention accordée à l’association écologiste Alternatiba Poitiers, le Tribunal administratif de Poitiers a, à cette occasion, dessiné les contours des formes de désobéissance civile acceptables au regard du contrat d’engagement républicain qui lie désormais les associations.
Le Noir et le Blanc
Authors: Le Bail Marine
Published: January 2024

Les années 1880 marquent l’entrée de Stendhal et de ses œuvres romanesques dans la sphère de l’édition pour amateurs. À cet égard, l’édition Conquet du Rouge et le Noir en 1884 marque une nouvelle étape dans la réception du roman et sera d’ailleurs suivie de plusieurs entreprises similaires. Cette étude s’intéresse au programme iconographique déployé dans trois éditions d’amateur du Rouge et le Noir, richement illustrées, et s’interroge sur les (re)lectures que les gravures proposent de cette œuvre dont les ambiguïtés et les non-dits constituent autant de défis pour le dessinateur.
Stendhal, les guides de voyage et Milan : l’invention d’un discours touristique ?
Authors: Strèque Apolline
Published: January 2024

À partir de la fin du xviiie siècle, Milan fait l’objet d’une découverte touristique dont témoigne la littérature de voyage de la période : longtemps considérée comme une étape pour les voyageurs en Italie, elle devient une destination à part entière pour la nouvelle génération de visiteurs. Si Milan joue un rôle essentiel dans la constitution de l’œuvre et l’identité de Stendhal, son discours sur la capitale lombarde possède, malgré ses revendications d’originalité, de nombreux points communs avec celui de ses contemporains : quelles sont donc les particularités du discours touristique stendhalien sur Milan ?
Antoine-Jean Gros, la caricature et La Chartreuse de Parme
Authors: Thompson Christopher W.
Published: January 2024

L’évocation, au tout début de La Chartreuse de Parme, d’une caricature politique de Gros n’a pas suscité beaucoup de curiosité chez les stendhaliens. Il a d’ailleurs fallu attendre 2016 pour que les historiens d’art constatent chez Gros la moindre velléité de cette sorte. Cette note éclaircit, d’une part, cet aspect, et analyse, d’autre part, la fonction de cette évocation inattendue au milieu de l’ouverture tumultueuse du roman.
Technology Transfer as a Mechanism for the Internationalization of Higher Education in Brazil
Authors: Camargos Renan Mendes , Santos Silva Luan Carlos
Published: January 2024

Technology transfer plays a fundamental role in enabling Brazilian institutions to access world-class knowledge and innovation while contributing to the country's economic and social development. This chapter explores the importance of technology transfer as an essential mechanism for the internationalization of higher education in Brazil. It conducts a comprehensive analysis of the literature, addressing key concepts, legal frameworks, challenges, and associated impacts of internationalization. This study provides valuable insights for educational administrators, researchers, and policymakers interested in promoting academic excellence and socioeconomic development in Brazil through international collaboration. However, it also highlights the need to address challenges such as development asymmetries and resistance when pursuing effective internationalization. Internationalization of higher education is an evolving field with significant opportunities for the future.
Deciphering Innovation Dynamics in Emerging Markets
Authors: Padmapriya B.
Published: January 2024

Innovation is the process of exploration, assimilation, and transformation of new and old knowledge for generating new unique value-adding products and processes, leading to superior firm performance through value creation and appropriation by the innovating firm. While extant innovation studies have focused on the impact of innovation on either value creation or value appropriation, studies analyzing both aspects together are under-explored. Establishing a linkage between value creation and appropriation requires understanding the various stimulus which catalyze the innovation process in a business firm. The studies limited themselves to either at country level, industry level, or firm level. This study focuses to bridge this gap by exploring the impact of innovation on both value creation and value appropriation, and also understand how the three levels influence each other's innovation output.
Public Management at FACE/UFGD Support Strategies for Academic Persistence of Students by the GPOVE Research Group
Authors: Alves Mendonça Jane Corrêa , de Almeida Marcos Souza , Junior Nelson Tsuji , Dias Maicon Tulio , Gomes Narciso Bastos , de Oliveira Pereira Francielli
Published: January 2024

This chapter aimed to deepen the understanding of the profile of students at the Faculty of Administration, Accounting, and Economics (FACE). A comprehensive survey was conducted through an online questionnaire, exploring various academic, institutional, and socioeconomic aspects of students enrolled in Administration, Accounting, and Economics at FACE. The Effective Vacancy Occupation Research Group (GPOVE) was established in April 2023 at the Federal University of Grande Dourados (UFGD) to identify the challenges affecting student retention in undergraduate courses. Based on this diagnosis, GPOVE plans to implement retention and academic support programs, focusing on those at risk of dropping out of higher education. Additionally, the group is committed to developing strategies to strengthen the relationship between UFGD and the community, aiming to overcome challenges associated with attrition and promote student success.
Sustainable Technology Adoption in Public Organizations
Authors: Thomas Jais V. , M. Mallika Sankar
Published: January 2024

This chapter examines the necessity of using sustainable technology inside public institutions to use digital capital for a beneficial environmental outcome. This study explores the dynamic changes occurring in innovation and technology transfer within the public sector, specifically focusing on the significant contribution of digital solutions in addressing environmental concerns. It examines case studies and established methods, offering a strategic framework for public organizations to incorporate sustainable technology effectively. By doing so, these organizations can simultaneously improve their environmental responsibility and optimize their operational performance.
The University and Its Environmental Aspects
Authors: Mineli Kátia Cristina Silva , Vera da Silveira Claudia
Published: January 2024

The university can play several roles in its local context, including in the sustainability scenario. Issues related to teaching, research, and extension need to be linked to the sustainability area, especially when they involve management practices. This chapter aimed to identify the actions that contributed to the pursuit of a balanced environment in the economic, cultural, and socio-environmental aspects of the Federal University of Grande Dourados (UFGD), between the years 2016 and 2018. Regarding the methodological procedures, bibliographic research and documentary research were conducted. As a result, a range of actions was identified, stemming from the interaction of the service sector with the activities carried out by the institution through the incorporation of measures that enable the institution to fulfill its role in the city of Dourados and the region.
Actors in Regional Innovation Systems
Authors: Majano-Benavides Jilma
Published: January 2024

This chapter explores the innovation ecosystem in Costa Rica's Chorotega region, analyzing the contributions of various stakeholders to local and regional progress through innovation. Utilizing qualitative and descriptive methods, data from sources like university databases and institutional websites are examined. The findings reveal a network of key players, including national and local governments shaping innovation policies, higher education institutions fostering research and technical skills, and diverse industries collaborating with government bodies, financial institutions, and international markets to boost productivity and innovation. The conclusions highlight knowledge infrastructure actors like universities, research institutions, tourism chambers, and community associations, as well as government and business entities driving innovation and development in the Chorotega region. In summary, this study unveils the complex web of actors propelling innovation and advancement in Costa Rica's Chorotega region.
Clinical Characteristics and Relationship of Acute Kidney Injury With the Severity of Disease and Death in COVID-19 Patients
Authors: McGrowder Donovan , Miller Fabian , Nwokocha Magdalene , Cross Melisa Anderson , Wilson-Clarke Cameil , McFarlane Shelly , Gordon Lorenzo
Published: January 2024

Globally, the coronavirus disease 2019 (COVID-19) pandemic has adversely affected healthcare with significant morbidity and mortality among patients due to the virulent effects of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The kidneys and other organs are infected and the development of renal disorders such as acute kidney injury (AKI) and subsequently chronic renal disease if there is no clinical intervention. There is increasing evidence of more COVID-19 patients developing AKI, and incidence of mild, moderate and severe stages of the disease. There is also evidence of significant morbidity and mortality, especially in patients with severe AKI admitted to the intensive care units (ICU). We reviewed the recent publications in PubMed, Google Scholar, Embase and Cochrane library relating to AKI in COVID-19 patients. This review examines (i) multifactorial causes of AKI in COVID-19 and the pathophysiology of this renal disorder, (ii) incidence of AKI in COVID-19 as well as the same in mild, moderate and severe disease, (iii) the association between the incidence of AKI and disease severity as well as mortality in patients with confirmed COVID-19, and (iv) incidence of renal replacement therapy among COVID-19 patients with AKI. The evidence points to the need for early therapeutic intervention and multidisciplinary supportive care for COVID-19 patients. This is critical for COVID-19 patients with comorbidities such as diabetes mellitus, hypertension and cardiovascular diseases as their renal function may be compromised.
Executive Function Coaching in Higher Education
Authors: Woodcock Christine
Published: January 2024

Employers report that new hires do not work out for reasons such as lack of coachability, rather than content knowledge. Although all students would benefit tremendously from executive function (EF) coaching, only some colleges provide it to some students. This qualitative research project is a collection of three case studies of colleges with self-proclaimed strong EF coaching practices. In seeking insights into the comprehensiveness of existing EF coaching programs in college, the author found four major trends: coaching must be comprehensive and cover many EF skills, coaching must be individually tailored and based in real life, coaching must build in complexity over time and allow participants to apply skills across generalized contexts, and many tangible tools must be shared. By sharing this cross-case analysis, more colleges can enact EF coaching practices that go beyond merely coaching a segment of the student population to a more inclusive approach for all students, thereby creating more equity and more opportunities for professional growth beyond the college years.
Work-Integrated Learning as a Model to Strengthen Industry-Academia Collaboration
Authors: Nuuyoma Vistolina , Mbambo Kretha , Kambeyo Linus
Published: January 2024

Work-integrated learning is an umbrella concept that denotes a curricular, pedagogic, and assessment practice across many academic disciplines that attempts to integrate formal learning and workplace concerns. It is participative, more situated and less didactic, and focuses on the real world. It is a pedagogical approach that is underpinned by experiential, community engagement and service learning as its philosophical and theoretical basis. Although work-integrated learning benefits both industry and academia or higher education institutions, guiding documents in the extant literature are observed to be general and not focused on how industry-academia collaboration may be strengthened. Bridging the gap between industry and academia is vital. Owing to that, the authors describe how work-integrated learning can be utilized as a model to strengthen industry-academia collaboration. A three-phase work-integrated model that may be used to strengthen industry and academia collaboration is designed and described.
Strategic Plan for Research Activities in an Engineering Institute
Authors: Kulkarni Sunil Jayant
Published: January 2024

Research and innovation increase the intellectual quotient of the organization. Food for good thought is always a sign of harmony. The enhancement of the research activities through research projects of students has twofold benefits in terms of tangible outcomes and accreditation points. Funding applications to various funding organizations shall provide the resources required for the research. Taking up industrial problems can help staff and students to realize real-life problems and learning problem-solving methodologies. Various activities by innovation and research-related committees are aimed at improving paper writing skills, awareness of intellectual property rights, and solving real-life problems through technological innovation. The current document sheds light on the measures taken at Gharda Institute of Technology, Maharashtra in recent past and strategic planning for academic year 2023.
Advancing Economic Participation Through Student Entrepreneurship in Higher Education in Select South African Universities
Authors: Tshishonga Ndwakhulu Stephen
Published: January 2024

This chapter interrogates the concept of student entrepreneurship as one of the pathways towards uprooting economic marginalization and social exclusion. Young people as both youth or students are confronted by poverty, unemployment, and inequality. The finding from this chapter is that with student active participation, adequate support by universities and other stakeholders, emerging student entrepreneurs could beat the scourge of poverty, hunger, and unemployment experienced by student youth at universities and beyond. The enterprises established by students at higher education institutions such as Durban University of Technology, Mangosuthu University of Technology, and University of KwaZulu-Natal have demonstrated the potential of not only securing livelihood for student entrepreneurs, but also provided employment for other economically marginalized students. Since this chapter is qualitative, case study method and interviews with key student entrepreneurs and officials from the student entrepreneurship support units were used to solicit relevant information.
Spacecraft Charging in Non-Maxwellian Plasmas at GEO Altitudes
Authors: Ali Shahid
Published: January 2024

Spacecraft charging phenomenon at GEO altitudes is revisited by highlighting various spacecraft missions, spacecraft orbits, surface charge mitigating techniques, and particle distribution models. A comparative analysis is presented to study the onset of negative charging for spacecraft with single Maxwellian, Kappa, and q-nonextensive distributions. Since the plasma constitutes a mixture of two clouds having cold and hot electrons with their distinct thermal energies and densities, therefore it is important to investigate surface charging with double extensive and non-extensive distributions as well as analyzing the current-balance equations (CBEs) both analytically and numerically. The Whittaker function integral is employed to solve the power-law integrals. The q-distributed electrons show more pronounced energy tails to obey Tsallis statistics having nonstationary equilibrium states. Non-extensivity effect strongly modifies the CBE for spacecraft charging, supporting better in the limit q<1 in contrast to Maxwell and κ distributions. Numerically critical and anticritical thresholds are also identified to understand the onset of negative charging of various space-grade materials.
Numerical Approach to Thermal Conductivity of Electrorheological Complex (Dusty) Plasmas
Authors: Shakoori Muhammad Asif , Khan Misbah , Li Haipeng , He Maogang , Shahzad Aamir , Raza Syed Ali
Published: January 2024

Electrorheological complex (dusty) plasmas (ER-CDPs) are type of plasmas with rheological behavior under external electric field (EEF). In this chapter, the nonequilibrium molecular dynamics simulations method is used to tune thermal conductivity for two-dimensional (2D) complex plasma liquids using EEF in different directions. Anisotropic thermal conductivity is investigated in three different cases, (i) Ex(x-axis), (ii) Ey(y-axis), and (iii) Exy(xy-axis) and with constant external perturbation force (Px = 0.02). The thermal conductivity under the influence of EEF is different in different directions. Obtained results are compared and discussed with previous known theoretical, simulation, and experimental data for 2D systems in constant EEF. The appropriate normalized thermal conductivity with Einstein frequency at constant EEF follows universal temperature scaling law. These comparisons and discussions show that algorithms of EEF of different cases with Yukawa potential have accuracy and consistency. These comparisons validated a new numerical model that can be used for variations of EEF along with different system sizes and plasma parameters.
Artificial Intelligence Applications in Renewable Power Systems
Authors: Nassereddine Mohamed , Nassreddine Ghalia , El Arid Amal A. , Samad Mahmoud
Published: January 2024

The field of power engineering has experienced significant advancements as a result of the integration of artificial intelligence methodologies, such as expert systems machine learning and artificial neural networks. In contemporary renewable energy systems, these approaches provide robust resources for the purposes of design, simulation, estimate, fault diagnostics, and fault-tolerant control. Over the course of recent decades, there has been rapid progress in the field of artificial intelligence technology, leading to a substantial increase in the utilization of AI applications inside modern industrial systems. This chapter provides an overview of the function of artificial intelligence in renewable energy systems. Three different types of renewable energy systems have been introduced in this discussion, including solar photovoltaic systems, wind turbine systems, and geothermal energy plants. Following the presentation of these systems, the authors proceed to critically examine the role of artificial intelligence in power prediction and defect detection within those systems.
Blockchain in Healthcare
Authors: Ziade Fouad M. , Daher Malak Mohamad , Ziade Mustapha F.
Published: January 2024

Blockchain technology has emerged as a solution to tackle challenges in the healthcare sector, such as fragmented data vulnerabilities in security and a lack of transparency. In this chapter, the authors provide an overview of blockchain and its potential benefits for the healthcare industry. These include collaboration, improved integrity and security of data, enhanced efficiency, empowerment of patients, and advancements in supply chain management. However, implementing blockchain faces obstacles like scalability issues, the absence of interoperability standards uncertainties regarding regulatory aspects, and usability concerns. To ensure the adoption of technology in healthcare, the authors propose a strategic roadmap for both short-term implementation at individual hospitals and long-term transformation of insurance and billing processes through smart contract automation. This requires integrating with existing IT systems training for staff members addressing ethical considerations effectively and customizing approaches based on regional requirements.
Blockchain Integration in Upstream Oil and Gas
Authors: Laturkar Kaustubh , Laturkar Kasturi
Published: January 2024

With its complex exploration and production processes, extensive information exchange and stringent safety standards, the upstream oil and gas industry is embracing cutting-edge technologies to maximize operational efficiency and improve data reliability. Blockchain technology has risen to prominence as an appealing solution offering decentralized, trustworthy, and immutable information management capabilities. An outline of the upstream oil and gas industry is provided to demonstrate its role and impact on societal development. The fundamental principles of blockchain are then discussed, emphasizing its potential to revolutionize data handling, transactions, and smart contracts. The chapter also provides examples of some of the current operational projects in the upstream oil and gas industry that are exploring its potential uses and the challenges associated with its implementation. Through the insights presented in this chapter, oil and gas companies and key stakeholders can utilize blockchain technology to boost business performance and enhance efficiency.
Blockchain-Based Smart Contracts
Authors: Singh Gulbir
Published: January 2024

Blockchains are decentralized, distributed, and immutable ledgers that can execute contracts on the blockchain, called smart contracts. Blockchain-based smart contracts have different challenges, opportunities, and applications in various fields like cryptocurrency systems, real estate, agriculture, logistics, and fire industry. The codes that can be executed and which operate on top of a blockchain to facilitate, implement, and enforce agreements between numerous parties in the absence of a trusted third party are called smart contracts. This chapter uses a taxonomy to classify different processes, such as comparing and contrasting the strengths and weaknesses of various methods and identifying research gaps and unanswered questions. The chapter also outlines some promising research guidelines for blockchain-based smart contracts and discusses the benefits and challenges. Researchers and practitioners in the field of blockchain-based smart contracts may find this chapter useful because it offers an overview of current and emerging developments in the field.
The Role of Social Media Presence, Technology, and Personalization in Increasing Sales and Achieving Sustainable Business Growth
Authors: Shmait Lilian , Hamati Lea , Remlaoui Barbara , Khalil Nour , Haidar Christine Ghassan , Nasr Sana , Nasr Rita , El Nemar Sam
Published: January 2024

While most businesses are now aware of the importance of focusing their marketing efforts on online advertising, many still struggle to effectively target their audience and convert online users to loyal customers. Nowadays, one of the main challenges faced by businesses is achieving sustainable growth and making profit in the long run while meeting the constantly changing demands of customers. Taking into consideration the psychology of consumer behaviour, the marketing strategies implemented, and the external factors that influence individuals, a comprehensive understanding of all those factors combined is necessary to plan and execute well-defined strategies for marketing professionals to follow. For that reason, a conceptual framework was designed to display all elements that contribute to increasing sales and achieving sustainable business growth by utilizing social media and technology strategically. Those factors were grouped into four main themes that cover effective marketing strategies, good customer relationships, personalization, and data collection.
Blockchain Technology in Healthcare Analytics
Authors: Karthigai Selvi S. , Siva Shankar R. , Ezhilarasan K.
Published: January 2024

Blockchain is an exciting new technology that is being used to provide creative solutions in a number of industries, including the medical field. In the healthcare system, hospitals, labs, pharmacies, and doctors exchange and store patient data via a blockchain connected network. Blockchain-based software can reliably detect serious errors, including potentially harmful ones, in the medical domain. As a result, it can enhance the efficiency, security, and openness of medical data exchange within the healthcare system. Medical facilities can improve their understanding of patient care and obtain valuable insights from the use of this technology. This chapter discusses blockchain technology and its advantages, popular algorithms in blockchain technology, the current issues in medical data maintenance, and blockchain application fields in healthcare. Lastly, the study identifies and discusses the pros and cons of algorithms in medical data maintenance and key benefits of applied fields.
PayCrypto Analtcoin Minting Application as Interest to Cryptocurrencies
Authors: Sandhia G. K. , Vidhya R. , Jansi K. R. , Jeya R. , Gayathri M. , Girirajan S. , Nagadevi S. , Ghuntupalli Manoj Kumar N. , Ramaprabha J.
Published: January 2024

Blockchain is a distributed ledger. It stores transaction data in the form of a linked list combined with encryption algorithms to enhance the security and integrity of the data in each of the blocks. Any participant of the node can verify the correctness of a transaction and a block is created only after the majority of the participants of the network (51%) agree to the correctness of a transaction. The participants reach a consensus on the transactions broadcast and the sequence in which these transactions occurred. At any point of time, all participants have an order of blocks of transactions they have accepted consensus on, and each participant has a set of unprocessed transactions it has in its pool. A block is then selected by one node on which validity of transactions is checked and then it is added to the blockchain. The main focus is to demonstrate the concept of staking cryptocurrencies on blockchains and how decentralized applications can be developed on the Ethereum network to deploy such applications.
Integrating Health Impact Assessment and Environmental Impact Assessment
Authors: Gigimon V. S. , Darsana R. S.
Published: January 2024

Environmental impact assessments (EIA) evolved in ignorance of health concerns. Health impact assessments (HIA) have evolved to cater to health impacts of projects. Due to the intricate relationship between environment and health, integrating Health impact assessment and environmental impact assessment would be more cost-effective and practical. In the implementation of major projects, health impact assessment gains importance as there is large displacement of people, environmental changes, and related health hazards. This would enable a sustainable approach to properly handle the environment, health, and human well-being. This chapter analyses the meaning and scope of health impact assessment, its advantages, and challenges. It describes why India needs an integrated approach considering the socio-economic and demographic situations.
Sustainable Behaviour
Authors: Sharma Kalpana
Published: January 2024

Sustainable behaviour entails considering the need to protect the environment for current and future generations while also considering economic, environmental, and social development. Also, this is one of the goals of positive psychology to investigate the psychological consequences of such behaviour. As per previous studies, practising pro-environmental and altruistic activities can lead to higher levels of happiness, and thrifty consumption can result in a feeling of fulfilment and intrinsic motivation. For this research, a total number of 200 university students completed general ecological behavioural scale and happiness scale. Statistical analysis includes t, Pearson r, and regression analysis. Results showed that sustainable behaviour had a considerable impact on the “happiness” element. Males are more involved in sustainable behaviours as compared to females, and also had a higher mean score on the happiness scale. Furthermore, the participants' satisfaction was significantly predicted by all elements of sustainable behaviour.
Integrating Machine Learning in Legal Management for Intelligent Supply Chain Governance
Authors: Ramirez-Asis Edwin , Saenz-Rodriguez Rolando , Angulo-Cabanillas Luis , Trujillo-Navarro Nathaly , Villegas-Ramirez Diego
Published: January 2024

The integration of machine learning in legal management and the development of intelligent supply chain governance represents transformative approaches to address the evolving complexities of the legal and supply chain domains. This chapter summarizes the key findings and insights drawn from the outlined sections. The problem statement underscores the growing need for data-driven strategies to navigate the intricate legal landscape and meet the challenges of modern supply chains. With a focus on transparency, accountability, and risk management, the significance of supply chain governance is highlighted, emphasizing its critical role in resilient and efficient supply chain operations. Legal management emerges as a pivotal player in this transformation, tasked with utilizing machine learning to navigate a data-rich and complex legal environment.
The Intersection of AI Technology and Intellectual Property Adjudication in Supply Chain Management
Authors: Archibong Esther Edet , Ibia Kene-Unwana Trenchard , Muniandi Balakumar , Dari Sukhvinder Singh , Dhabliya Dharmesh , Dadheech Pankaj
Published: January 2024

In modern Nigerian supply chain management, the adjudication of intellectual property rights has gained paramount importance. With the rapid advancement of technology, the integration of AI-powered analytics has emerged as a promising resolution for settling disputes and safeguarding intellectual property rights. This chapter highlights the multifaceted role of AI-driven analytics in the adjudication process, exploring its impact on improving efficiency, precision, and impartiality in resolving disputes related to intellectual property within the Nigerian supply chain. The authors suggest that comprehensive ethical standards, data privacy regulations, and transparency protocols should be established by the government, stakeholders, and law enforcement agencies to mitigate potential biases, ensure data integrity, and ensure adherence to ethical and legal norms in AI technologies.
Predictive Modeling of Supply Chain Disruptions in the COVID-19 Pandemic Using Advanced Machine Learning Approaches
Authors: Kumar Sunil , Pandey Digvijay , Kumar Sunil , Dwivedi Abhishek , Mishra Abhishek Kumar , Chauhan Mohit Singh
Published: January 2024

In light of the COVID-19 pandemic, this research examines supply chain disruptions critically, highlighting their devastating effect on businesses like as drugs and perishable food. The report emphasizes the need of durable supply networks, encouraging firms to invest in strong risk mitigation measures and cutting-edge technology to maintain continuity and adaptation in an ever-changing business environment. Deep learning and machine learning approaches have emerged as critical tools for solving these supply chain difficulties. Decision trees, random forests, k-nearest neighbors, and support vector machines (SVM) have all been shown to be effective in mitigating supply chain issues, with SVM achieving an impressive accuracy rate of 96.6%. Furthermore, the random forest model has a respectable accuracy of 95.00%. Notably, the study discovers that the gated recurrent unit architecture outperforms the long short-term memory design, with an accuracy rate of 98.01%. This investigation provides useful insights for the difficulties confronting contemporary supply networks.
Intelligent Physarum Solver for Profit Maximization in Oligopolistic Supply Chain Networks
Authors: Verma Rakesh , Christiana M. Beulah Viji , Maheswari M. , Srinivasan Vellayan , Patro Pramoda , Dari Sukhvinder Singh , Boopathi Sampath
Published: January 2024

This chapter discusses the use of an intelligent physarum solver (IPS) to optimize profit in oligopolistic supply chain networks. The IPS, inspired by the foraging behavior of the physarum polycephalum slime mold, addresses the challenges of resource allocation and profit distribution in oligopolistic markets. The chapter analyzes the IPS framework's effectiveness in modeling and optimizing various aspects of oligopolistic supply chains, including pricing strategies, production allocation, and distribution logistics. This research uses case studies and simulations to demonstrate how IPS can improve decision-making, foster cooperation among oligopolistic firms, and increase profitability in supply chain networks. It uses nature-inspired intelligence to provide practical solutions for businesses in oligopolistic environments, contributing valuable insights to supply chain management.
Post-Pandemic Biometric Challenges and Solutions
Authors: Neelima K. , Madhavi B. , Padma C. , Pandey Binay Kumar , Gowwrii Gadee , Sundar Manaktala Shyam
Published: January 2024

The COVID-19 pandemic has imposed several challenges to mankind, among them one being biometric, for attendance of working community and the related demand and supply chain related to biometric companies, developers, investors and customers. Due to many medical constraints, people are now reluctant to use contact-based biometric systems. With the increase in personal and social hygiene to avoid transmission of pathogens via contact, people try to avoid usage of fingerprint, facial-, and voice-based biometrics. Further, if the system is not active then multiple times of access contacts may be necessary. This aspect has to be restricted for avoidance of future pandemic situations.
Mixed Traffic Modelling
Authors: Sadat Mohd , Ahmad Syed Aqeel , Silgu Mehmet Ali
Published: January 2024

Traffic modelling has gained importance due to the adoption of intelligent transportation systems and software based on traffic models providing a platform to test and improve such systems. Modelling mixed traffic has proved to be a challenging task due to variations in vehicle dimensions and composition along with non-lane-based driving. Most of the simulation software is based on the car following models and lane change models which were originally developed for lane-based traffic. Several attempts have been made to adapt these models for mixed traffic by extending them to include new parameters. This study summarizes lane change models used along with car following for mixed traffic. It can be concluded from past studies that lateral manoeuvre varies with the longitudinal speed in a non-linear manner. Sub-models or specific parameters are needed to model the lateral behaviour of each class of vehicle. Trajectory data analysis and subsequent models have also pointed towards the need for vehicle pair-dependent parameters.
Finance and Development in Uruguay Post Cold War
Authors: Agu Osmond , Asaolu Adepoju Adeoba
Published: January 2024

This chapter employed Johansen-Juselius Cointegration test, short-run and long-run causality tests, and error correction modelling to examine the finance and economic development of Uruguay between 1981 and 2019. The result shows that gross fixed capital formation and government expenditure have positive and statistically significant relationships with gross domestic product per capita, while the degree of openness exhibits a negative but statistically significant sign in relationship with gross domestic product per capita. The study therefore recommends that since gross capital formation and government expenditure influenced the economy of Uruguay the most, the Uruguay's government should focus on building more capacity in capital stock, which is believed to attract more investment. They should also spend on real sectors of the economy to boost the economic growth and increase the gross domestic product per capita and by extension the welfare of the economy.