bluuebunny/crossref_metadata_2025 huggingface dataset:
Thérapie multifamiliale et refus scolaire anxieux à l’adolescence : retour sur l’expérience parentale
Authors: Snegaroff Claire , Moro Marie Rose , Grandclerc Salomé , Hellier Éloïse , Minassian Sevan , Barry Caroline , Hassler Christine , Harf Aurélie
Published: July 2024

La thérapie multifamiliale est proposée depuis plusieurs décennies dans la prise en charge de nombreux troubles psychiques et a démontré son efficacité. Depuis 2019, la thérapie multifamiliale est proposée à la Maison de Solenn-Maison des Adolescents dans la prise en charge des refus scolaires anxieux à l’adolescence. L’objectif de cette étude est d’explorer le vécu des parents ayant participé à une thérapie multifamiliale centrée sur le refus scolaire anxieux de leur adolescent. Pour avoir accès à cette expérience parentale, nous avons choisi une méthode qualitative. L’analyse qualitative phénoménologique des 31 entretiens a permis de mettre en évidence trois thèmes : Le premier thème illustre à quel point l’efficacité et le processus de la thérapie multifamiliale s’appuient sur des identifications multidirectionnelles. Au sein de ce premier thème seront développés trois sous-thèmes : « se comparer et se reconnaître dans l’autre », « prendre appui sur les différences » et « l’autre comme porte-parole ». Le deuxième thème est la traversée émotionnelle que représente la thérapie multifamiliale. Ce deuxième thème s’articule autour de trois sous-thèmes : « des parents malmenés », « la thérapie multifamiliale comme espace d’expression de la souffrance parentale » et « la thérapie multifamiliale comme espace d’exposition aux symptômes phobiques » Le troisième thème met en exergue les remaniements des interactions familiales permis par la thérapie multifamiliale à travers notamment deux sous-thèmes : l’émergence de nouvelles représentations parentales et un repositionnement des parents avec une réappropriation d’un rôle parental modifié. Ces résultats seront discutés, autour de plusieurs axes de réflexion : la relance d’un processus adolescent figé par le refus scolaire anxieux ; des représentations parentales en mouvement ; le retour du parent sur sa propre relation à l’école ; réparer une parentalité abîmée et enfin la spécificité des thérapies multifamiliales centrées sur le refus scolaire anxieux à l’adolescence.
La capacité négative en thérapie : « Laisser le Vide pour faire advenir le Plein »
Authors: Ambroise Pascale
Published: July 2024

Cet article explore l’importance de la « capacité négative » en psychothérapie, un concept introduit par Bion en 1965, qui implique d’accepter l’inconnu sans agir immédiatement. Cette approche est particulièrement pertinente dans le traitement des enfants, notamment ceux atteints de troubles du spectre autistique. L’auteure illustre son propos avec des cas d’enfants où le thérapeute doit tolérer le silence, l’inaction et l’incompréhension, permettant ainsi l’émergence de la relation et la transformation de l’enfant. Elle souligne la nécessité d’un cadre thérapeutique stable pour la construction de l’identité de l’enfant et son développement psychique. La thérapie est comparée à une vallée dans la peinture chinoise, un espace vide qui nourrit et permet la croissance.
Les drogues, première activité illicite au monde
Authors: Lalam Nacer
Published: July 2024

Peu de régions dans le monde semblent épargnées par les problématiques engendrées par le trafic de drogues. Drogues d’origine naturelle (cannabis, cocaïne, héroïne) ou drogues de synthèse (ecstasy, amphétamines, fentanyl), l’offre s’est diversifiée et a vu s’installer une véritable économie faite de profit, d’accumulation, d’avance sur recettes ou encore de plan d’investissement. Or, ces activités s’accompagnent d’effets délétères pour les sociétés. Il en va ainsi des coûts sociaux comme les violences, les homicides, la corruption et les effets d’attractivité pour une part de la jeunesse en butte aux difficultés socio-économiques. C’est aussi, dans certains pays, des organisations criminelles qui agissent en acteurs non étatiques et pénètrent les mondes politiques et économiques officiels, en en perturbant les équilibres .
L’Union européenne face au crime organisé
Authors: Berthelet Pierre
Published: July 2024

Alors que la criminalité organisée se propage à travers l’Union européenne, l’augmentation de la violence associée aux trafics entraîne une hausse du sentiment d’insécurité parmi la population. Face à ce phénomène, l’Union s’organise. Passant de la coopération intergouvernementale à un modèle d’intégration, sa réponse se structure autour d’un maillage réglementaire dense, de programmes d’action de nature à stimuler l’entraide et à favoriser le développement de nouvelles mesures répressives, ainsi que par l’essor d’une coopération accrue entre agences européennes spécialisées. L’usage des derniers outils numériques et le déploiement de nouvelles techniques de lutte constituent désormais autant de défis pouvant remettre en question le nécessaire équilibre entre répression du crime et protection des libertés .
Les dynamiques temporelles présentes dans les formations tout au long de la vie
Authors: Roquet Pascal , Boutinet Jean-Pierre
Published: July 2024

La variété actuelle des actions de formation entrant dans le dispositif de la formation tout au long de la vie sollicite une réflexion sociétale sur les différentes dynamiques temporelles qui les sous-tendent et leur donnent sens. Ces dynamiques en effet dans leur diversité mais aussi leur singularité constituent l’un des paramètres essentiels pour déterminer la pertinence d’une formation et sa capacité à coopérer avec les temporalités ambiantes. En partant des problématiques temporelles de deux pionniers marquants en sciences de l’éducation et de la formation, Ardoino et Pineau, deux façons de problématiser le temps en formation ont été identifiées qui toutes les deux mettent en évidence des temporalités paradoxales à faire cohabiter. Ce sont sept figures typiques de ces temporalités paradoxales qui ont pu être relevées dans la littérature scientifique, principalement francophone, qui sont mises en évidence dans la suite de la Note de synthèse, ouvrant sur des perspectives pour des cheminements pluriels dans les démarches de formation et d’apprenance adultes.
Une approche genrée de sélection au cours des premières années d’engagement chez les sapeurs-pompiers volontaires
Authors: Born Pauline
Published: July 2024

Cet article s’intéresse à l’intégration des femmes chez les sapeurs-pompiers volontaires. S’appuyant sur un cadrage théorique consacré à l’engagement et à l’identité professionnelle, il se concentre sur les premières années d’engagement, dédiées essentiellement au suivi de la formation initiale obligatoire. À partir d’une méthodologie qualitative, l’article propose une analyse des obstacles rencontrés par les femmes au début de leur parcours de sapeur-pompier volontaire, au cours de leur formation initiale et dans la vie à la caserne. Les résultats montrent que les difficultés auxquelles elles font face ont un impact sur leur développement identitaire et la poursuite de leur engagement. Le milieu semble toujours souffrir d’une approche genrée de sélection.
The Medical Consequences of Child Abuse and Neglect
Authors: Palaszynski Karen M. , Nemeroff Charles B.
Published: July 2024

CME Educational Objectives

1.

Review the basic components of the acute stress response, including the hypothalamic-pituitaryadrenal axis (HPA), corticotropinreleasing factor system, and locus coeruleus-norepinephrine system.

2.

Explain the potential, long-term medical consequences of child abuse, including risk for heart disease and obesity, as well as alterations in HPA axis reactivity, the autonomic nervous system, and immune function in adults who were exposed to early-life trauma.

3.

List other long-standing consequences associated with abuse.
Several fixed-point theorems for generalized Ćirić-type contraction in $ G_{b} $-metric spaces
Authors: Zhao Yunpeng , He Fei , Lu Shumin
Published: July 2024

In the framework of $ G_{b} $-metric spaces, we introduce the concept of a generalized Ćirić-type contraction and obtain several fixed-point theorems for this contraction. First, we present a significant lemma, which is used to ensure that the Picard sequence is a Cauchy sequence. Using this lemma, we establish three fixed-point theorems satisfying different conditions. Second, we construct new examples to illustrate our results. As applications, we deduce the famous Ćirić fixed-point theorem in terms of $ b $-metric spaces using our results. In addition, we obtain Reich-type contraction fixed-point theorems in such a space using the aforementioned lemma. Our results improve and complement many recent findings. In particular, we substantially enlarge the range of the contraction constant in our results. Finally, we consider the existence and uniqueness of solutions for integral equation applying our new results.
Les cinéphonies, des « chefs-d’œuvre expliqués par l’image » ?
Authors: Taillandier-Guittard Inès
Published: July 2024

Au milieu des années 1930, Émile Vuillermoz supervise la réalisation d’une série de sept courts métrages produits par la Compagnie des Grands Artistes Internationaux (CGAI), qu’il intitule « cinéphonies », considérées dans la littérature existante comme les ancêtres du vidéoclip. Ce terme désigne un objet audiovisuel dont la visée est double. Il s’agit d’une part de filmer les interprètes (cette captation est dénommée « film technique »), d’autre part de proposer de l’œuvre exécutée une transposition cinématographique (la cinéphonie proprement dite). Cet article se propose d’examiner le statut de ces courts-métrages, partagés entre ambition didactique et visée promotionnelle. Il tente en outre d’envisager le médium visuel non pas comme un pur miroir du son (si complexe que soit cette relation spéculaire), mais comme le fruit de métamorphoses successives qui construisent, à l’intérieur du plan et entre les plans, une logique propre. Trois cinéphonies seront plus particulièrement analysées : La Fontaine d’Aréthuse et Jeune fille au jardin de Dimitri Kirsanoff, ainsi que La Valse brillante de Chopin de Max Ophuls.
De l’instrument joué à la pratique représentée : comprendre les figures de flûtistes dans l’iconographie recuay (sierra nord-centrale du Pérou, 100‑800 n.è.)
Authors: Ferras Mélanie , Moretti Alexia
Published: July 2024

L’analyse des pratiques musicales et sonores propres à la culture recuay (100‑700 n.è.), dans la sierra nord-centrale de l’actuel Pérou, se heurte à plusieurs inconnues documentaires. Il existe en effet une répartition déséquilibrée des données exploitables : aux contextes archéologiques et aux instruments, peu connus et peu documentés, s’oppose une riche imagerie présente sur des céramiques cérémonielles où sont représentées des scènes, détaillées et récurrentes, dans lesquelles interviennent des instruments de musique.Les céramiques qui représentent des flûtistes sont particulièrement intéressantes. La figure de l’instrumentiste y est toujours centrale et ses attributs le rattachent au domaine sacerdotal. Il serait toutefois réducteur de s’arrêter à l’affirmation selon laquelle l’emploi du son de la flûte est en lien avec une cérémonie. Les analyses formelles et symboliques des motifs représentés permettent d’identifier, sur une même pièce, la juxtaposition de niveaux de réalités distincts qui entrent en contact grâce à la présence de la flûte.Dans le cas présenté, l’approche iconographique offre la possibilité de faire revivre scientifiquement des objets décontextualisés. Ce faisant, elle met en évidence des informations qui, véhiculées par les images, témoignent de la conception du monde d’une culture.
L’archéologie verticale ou l’étude des graffiti anciens : du document iconographique à la source historique (xie‑xvie siècles)
Authors: Gaubert Aymeric
Published: July 2024

Le Moyen Âge et la Renaissance ont produit un ensemble de signes, d’inscriptions et de graffiti qui fait sens dans une société de l’image. Un tel langage iconographique a donné lieu à des usages multiples du mur, révélant une pratique graffitologique qui semble normale, diversifiée, souvent dévotionnelle, mais largement méconnue. Cette tradition graphique, quasiment absente des sources écrites habituelles, reste à documenter en s’appuyant notamment sur le corpus conservé à la forteresse de Loches en Indre-et-Loire. En dépit des difficultés d’identification, d’attribution et de datation, il s’agit de montrer que le graffiti fournit une authentique voie/x aux sociétés anciennes, renvoyant à des perceptions, des croyances et des pratiques passées à éclaircir et à contextualiser au sein d’une véritable archéologie de la trace. À la fois patrimoine matériel (production graphique), patrimoine culturel (témoignage historique) et patrimoine immatériel (geste), le graffiti constitue une archive lapidaire digne d’intérêt faisant désormais l’objet d’une nouvelle science en construction : la graffitologie.
Teachers Are Allowed to Be Human Starting With Trauma-Informed Care of Educators Who Care for Youth
Authors: Bosque Erica J.
Published: July 2024

This chapter explores the experiences and integration of approaches and selfcare techniques of teachers in their TK–12 credential programs and human service workers in providing trauma-informed care or teaching. Focus groups and interviews were used to collect the data from human service providers and TK–12 teachers currently enrolled in credential programs or working in care systems in California. Content analysis of the rich data elevated the voices of these teachers and service providers and the massive gaps in skill development, preparedness, and care to provide heart work and trauma informed care in their classrooms, care systems and communities. The results suggested that the abusive and toxic relationship of working in the education or care systems is a foundational element that impacts and harms both teachers, providers and their students or clients—which stifles the access and effectiveness of trauma informed practices. These stories of adults doing heart work in care systems shows equitable, inclusive care for the adults is where to start.
Information Asymmetry and Greenwashing in the Green Bond Market
Authors: Geetha Sreelekshmi , Sheen Nisha , Nair Biju Ajithakumari Vijayappan
Published: July 2024

Disclosure and transparency are two critical components in the green financing sector, especially the green bond segment. Compared to green instruments like green credit, green bond issuances facilitate information dissemination and reduce information asymmetry. Still, concerns stemming from numerous macro-level and firm-level factors impede market advancement. Investors are restrained from green bond financing owing to a fear of potential greenwashing. The nascency of the market, resulting in inadequate disclosure regimes and measurement challenges, exacerbates the problem. Can we find a solution to tackle the dilemma of greenwashing and information asymmetry using emerging, sophisticated technologies? Assessing the major theoretical underpinnings, this chapter presents a comprehensive landscape of how technologies like distributed ledger technologies, blockchain, the internet of things, artificial intelligence, machine learning, and the like fit into the green debt market. While following a theoretical approach, collating research, and the green bond market developments, the authors initiate an investigation into how technology can manage disclosure biases. The assessment signifies the role of technology, specifically FinTech, blockchain, and AI technologies, in spotting greenwashing and information asymmetry.
Challenging the Need for Treatment in Diabetes
Authors: Chhabra Vandna
Published: July 2024

The question of whether treatment is truly required for diabetes is a multifaceted issue with implications for public health and individual well-being. While medical interventions have proven efficacy, the role of lifestyle modifications and willpower should not be underestimated. A holistic and individualized approach that considers the unique circumstances of each patient may offer a more nuanced and effective strategy for managing diabetes. Further research and ongoing dialogue are essential to guide healthcare professionals, policymakers, and individuals in making informed decisions regarding the most suitable approaches to diabetes care.
A Study on Mathematical Modeling of HIV/AIDS, Malaria, and Dengue Fever
Authors: Kalra Preety , Ali Shoket , Raina Ather Aziz
Published: July 2024

This book chapter delves into the realm of mathematical modeling concerning the spread and dynamics of HIV/AIDS, malaria, and dengue fever. It comprehensively examines existing mathematical models utilized to understand the epidemiology, transmission, and control strategies of these diseases. The review highlights key findings, methodologies, and challenges in modeling each disease, emphasizing their impact on public health interventions. Through this exploration, the chapter aims to provide insights into the multifaceted nature of mathematical models in addressing these crucial health concerns.
Integrating Machine Learning to Enhance Online Learning Student Performance
Authors: Das Somdeep , Acharjya Pinaki Pratim
Published: July 2024

The extensive growth of online learning in recent years has opened the avenues of learning without any physical boundaries. The ultimate aim of online learning is to increase the perimeter of students learning and to achieve this students performance should also be monitored and improved. Online learning integrated LMSs enables capturing and tracking data related to students and courses. The performance of students may highly be impacted by various parameters in online learning environment. This work proposes the study and analysis of student performance which may be enhanced by implementing Machine Learning technologies on the student information mined in the LMSs. It focuses on developing models based on machine learning (ML) to comprehend the multiple factors that influence student success in an online learning environment. Various machine learning classifier algorithms were utilized to train the model.
The Use and Effects of ChatGPT in Tourism Education
Authors: Yaşar Emre , Öztürk İsmail , Yayla Eda , Tür Erge
Published: July 2024

This study evaluates the role and impact of ChatGPT in tourism education. According to the study results, the areas of use of ChatGPT in tourism education are preparing course content, curriculum and exams, language learning, and obtaining theoretical knowledge. ChatGPT is suitable for academicians and students within the scope of tourism education. The factors affecting the applicability of ChatGPT in tourism education are the digital skills and technological predispositions of academics and students, ethical and security concerns, and the structural characteristics of tourism education. The positive effects of ChatGPT on tourism students are that it improves their research skills and efficiency, saves time, increases creativity, and provides access to information quickly. The negative effects of ChatGPT on tourism students are the possibility of making them lazy, accessing wrong information, reducing their thinking skills, and making them dependent on technology.
Professions Transformed by Artificial Intelligence
Authors: Barış Özlem , Yeşilyurt Segah , Ün Ömer
Published: July 2024

While artificial intelligence technology is increasing its development and function day by day, some professionals fear that their jobs will disappear. The fact that artificial intelligence imitates human intelligence and can perform operations beyond human intelligence reveals ideas that artificial intelligence technology will replace humans in business life. This study addresses the transformation and development brought about by artificial intelligence technology, which has marked the 21st century and enabled great developments, within the framework of professions with a descriptive method. Thus, by revealing the professions that have been transformed with artificial intelligence and the direction of this transformation, the impact of artificial intelligence on professions is tried to make sense. The study allows inferences to be made on the positive and negative effects of the transformation of artificial intelligence on professions.
Applying Business Intelligence and Blockchain in Entrepreneurship
Authors: Kathirvel Naren , A. Kathirvel
Published: July 2024

The development of numerous cryptocurrencies, dApp monetization Smart personal Contracts, Decentralized Finance apps (Defi), and Non-Fungible Tokens (NFTs) preceded general adoption of the Blockchain concept. Blockchain Technology (BT) is digital money, which increases in value every hour by a factor of bigger than its previous worth. Even though Blockchain's widespread appeal has been confined to its role in the development of Bitcoin and other cryptocurrencies, a number of other applications are currently being developed steadily. This demonstrates the promise of decentralized technology and the undeniable influence of blockchain on business across many industries. These days, businesses use blockchain technology and its various features, like as ICOs and smart contracts, for a variety of objectives that are related to their daily operations.
Leveraging AI for Entrepreneurial Innovation in Healthcare
Authors: Tariq Muhammad Usman
Published: July 2024

This chapter explores the transformative role of artificial intelligence (AI) in generating innovative entrepreneurial ideas within the healthcare sector. As AI technologies advance, they offer unprecedented opportunities for entrepreneurs to address complex challenges in healthcare, from enhancing patient care to streamlining operational efficiencies. This chapter aims to provide a comprehensive overview of how AI can inspire and shape entrepreneurial ventures, focusing on the identification, development, and implementation of AI-driven solutions in healthcare. Through investigation, the chapter highlights how AI upgrades symptomatic exactness, personalizes treatment plans, and makes strides in persistent observing, driving superior healthcare results and operational effectiveness. It moreover looks at effective case considers of AI-driven healthcare new companies, illustrating real-world applications and impacts.
Tailored Therapy Regimes Using Digital Twins
Authors: Sathish Aswathy , Ranjan Abhishek , Mahek Areena
Published: July 2024

A huge amount of data needs to be integrated and processed in the field of personalised medicine. In this case, the authors propose a solution that relies on the creation of digital twins. These are high resolution models of individual patients who have been computationally treated with thousands of drugs in order to find the drug that is most suitable for them. Digital twins could improve the proactiveness and individualization of healthcare services. It possesses the capability to identify irregularities and evaluate health risks prior to the onset or manifestation of a disease through the use of prediction algorithms and real-time data. Enormous databases of medical records biological and genomic data interconnected around the world by harnessing the power of super computers provides us the knowledge to create digital twins of yourself and using your data to improve the network for others after you who tend to have diseases that happen together based on similar gene expression or due to unprovoked side effects of simultaneous drug administration.
Predictive Healthcare Analytics
Authors: Eswaran Ushaa , Eswaran Vivek , Murali Keerthna , Eswaran Vishal
Published: July 2024

The integration of digital twin technology with healthcare systems promises to revolutionize clinical decision-making and patient outcomes in Healthcare 6.0. This chapter explores predictive healthcare analytics' role in preventive care, resource optimization, and patient-centered outcomes. It examines theoretical foundations, methodologies like machine learning, and real-world applications, highlighting predictive maintenance and risk stratification. Ethical considerations and regulatory compliance are emphasized, with a look at future trends. Ultimately, the chapter serves as a guide for stakeholders navigating predictive healthcare analytics in Healthcare 6.0, advocating for proactive, data-driven decision-making and improved patient outcomes.
Digital Transformation of Marketing Processes, Customer Privacy, Data Security, and Emerging Challenges in Fostering Sustainable Digital Marketing
Authors: Gull Hina , Saeed Saqib , Alaied Hamzah A. K. , Alajmi Ali N. A. , Saqib Madeeha , Iqbal Sardar Zafar , Almuhaideb Abdullah M.
Published: July 2024

Marketing is a core business function to communicate the value of a product to its customers. Digital technologies have transformed this business function into digital marketing, which is the core focus of the digital transformation drive of business organizations. Digital marketing relies on modern technologies to reach out to prospective customers, and other stakeholders in the community. However, this technological transformation has brought data security and privacy challenges for organizations as well. In this chapter, the authors have conducted a systematic literature review to understand these challenges and presented a framework for organizations to respond to these challenges in an agile manner. This framework outlined four key enablers and associated strategies to better achieve these enablers to foster a sustainable digital marketing process in business organizations. This framework benefits business organizations and policymakers to improve the digital marketing effectiveness of their organizations to maximize the benefits of digital transformation.
Leveraging Artificial Intelligence in Education
Authors: Kaur Sargunpreet , Budhraja Komal , Pahuja Anurag , Nayyar Varun , Saluja Shefali
Published: July 2024

The integration of artificial intelligence (AI) technologies into education has emerged as a promising avenue to revolutionize the learning experience. With the use of AI tools and methodologies, teachers can tailor educational pathways to suit their students' individual needs, respond to differences in teaching style and provide prompt feedback so that they are more engaged and comprehended. Various applications of artificial intelligence in the field of education such as intelligent tutoring systems, adaptive learning platforms, and natural language processing tools are examined to highlight their effectiveness for dealing with educational challenges and supporting student success. This chapter looks at the potential of artificial intelligence for improving education practices, with a focus on increasing learning processes and optimising student results. It highlights the importance of responsible use of AI to reduce biases and ensure equal opportunities for all in order to address concerns about ethics and possible problems related to integration of AI into education.
A Review on Irradiated Si-Surface for 2D-Materials Corrosion Inhibitors Applications
Authors: Kumar Sumit , Garg Sandeep Kumar
Published: July 2024

A better understanding comes from the AFM surface investigation of irradiated silicon for application as corrosion inhibitors. A Si-surface coated with 2D materials like MoS2, graphene, MXene, MnS, SnxSy family, 2D-transition metal dichalcogenides (2D-TMDs), transition metal chalcogenides (TMCs) and 2D-layered double hydroxides (2D-LDH) nanomaterials can be used for surface protection in modern Industry 4.0 where humidity and corrosive gas pollutants plays a significant role. The role of hydrated molecule complex or ion detection sensors due to their electronic transport phenomenon and high oxygen affinity at the interfaces nearby surface is also a supportive escort. Irradiated surfaces which are coated with complex 2D metal oxide-based nanomaterials show super inhibiting properties. Ar-ion beam induced low energy irradiaton effect on silicon or metal surface holds a firm layer protection of metals underneath and has a longer life compared to general treatments. This review elaborate the interaction of atoms and ripples on Si-substrate for harmful corrosions through AFM micrographs.
Advances in Boron Nitride
Authors: Rivera-Rivera Hiram Roberto , Rojas-Blanco Lizeth , Ramirez-Morales Erik , Pérez-Hernández Germán , Zamudio-Torres Ildefonso
Published: July 2024

This chapter discusses recent advances in boron nitride (BN), focusing on synthesis, characterization, and coating techniques. Various synthesis methods like chemical vapor deposition (CVD), sol-gel, and ball milling are explored, emphasizing their roles in tailoring BN materials for specific applications. Characterization techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and spectroscopic methods are utilized to elucidate BN's structural and chemical properties. Coating techniques including chemical vapor deposition (CVD), physical vapor deposition (PVD), atomic layer deposition (ALD), and electrodeposition are reviewed for their effectiveness in depositing BN coatings with precise control over thickness and uniformity. The chapter also addresses BN's hardness and corrosion resistance. Future research directions are outlined, including novel coating process optimization to enhance BN's.
Potential of Moroccan Discarded Sardine
Authors: Elmaazouzi Lamia , Lizoul Brahim , Driouch Anas , Lechheb Mahdi , Dagdag Omar , Lmachraa Imane , Tayoub Saida , Jaafar Adil , Lakbaibi Zouhair
Published: July 2024

The chapter explores the production and application of bioceramics, specifically hydroxyapatite (Hap) derived from Moroccan sardine waste, highlighting its biomimetic resemblance to human bone and its advantageous properties like high bioactivity, cost-effectiveness, and eco-friendliness. The authors emphasize the economic and environmental benefits of utilizing sardine waste for synthesizing natural Hap, considering Morocco's significant sardine production. The estimated economic impact of natural Hap synthesized through the calcination process from sardine waste is significant, aligning with the global trend towards a circular economy and waste management. Indeed, the cash flow of natural Hap extracted from Moroccan sardine waste is valued and estimated at 10,239.2253 million MAD. Expanding research in this field could lead to innovative technologies for waste recycling and enhance collaboration among companies for a more sustainable future and national development.
Interaction of Nanoparticles With Proteins
Authors: Kaur Harpreet , Thakur Abhinay , Thakur Ramesh Chand , Kumar Ashish
Published: July 2024

Nanoparticles, with their unique physicochemical properties, have gained significant attention due to their potential in medicine, materials science, and environmental remediation. This chapter elucidates the fundamental concepts of nanoparticle-protein interactions, covering adsorption mechanisms, surface modifications, and conformational changes. It explores the factors influencing these interactions, such as particle size, shape, surface charge, and protein structure. It discusses the role of nanoparticles in drug delivery, highlighting how their interaction with proteins can impact their biodistribution, targeting efficiency, and release kinetics. Additionally, the potential toxicological effects of these interactions are examined, emphasizing the importance of understanding nanoparticle-protein interactions for assessing their safety. Beyond biomedical applications, the chapter also explores how nanoparticle-protein interactions are harnessed in catalysis, sensing, and nanomaterial fabrication.
Economic and Environmental Impact of Corrosion
Authors: Kumar Rajeev , Chaudhary Vinay Kumar , Pramanik Nabakumar , Ghosh Sampad
Published: July 2024

Most of the metals and alloys are unstable in the Earth's surface and will always be susceptible to corrosion. Over the past 150 years, corrosion has been the focus of scientific study from both a scientific and a technological viewpoint. It is a phenomenon that occurs naturally and is defined as the degradation of a material, typically a metal, due to its reaction to its environment. Looked at in this way, it leads to enormous economic losses for the whole world. Apart from the economic consequences, corrosion has resulted in several structural­ failures that had serious consequences for human health and life and the surrounding environment. Safety and environmental concerns tend to be very difficult to define in terms of cost. Therefore, corrosion problems must be addressed for safety and to minimize environmental pollution. There are, however, still many problems that corrosion scientists and engineers need to solve through improved corrosion management. The aim of this chapter is to cover an outline of the corrosion chemistry and economic and environmental impact due to corrosion.
An Improved Fast Collision Detection Algorithm for Human Models Based on Hybrid Bounding Boxes
Authors: Yue Xuezhi , Fan Ye , Zeng Yuan , Fan Weitao , Zhou Luhui
Published: July 2024

This article analyzes the commonly used collision detection methods in game engines and designs a hybrid bounding box structure that is more suitable for human models based on their motion characteristics. In addition, this article also optimized the collision response algorithm after the system detects collisions, making the collision response process faster. Through experimental analysis, this approach has a good effect in addressing the problem of model penetration caused by continuously changing the model posture in shooting games; it also avoids the game fairness problem caused by model penetration and improves the realism of the game's virtual environment.
Influence of Parents' Perceptions of Brand Recognition of Distance Online Education and Training
Authors: Xu DongMei
Published: July 2024

With the rapid development of Internet technology, distance online education and training is becoming an important part of the education and training market. Based on the theory of perceived value, taking the distance online education and training platform as the research object, this paper establishes a sample database, analyzes the reliability, validity, correlation and regression of the data, obtains the main factors of parents' perceived service quality, and analyzes the relationship between parents' perceived service quality and satisfaction and willingness to act, so as to provide ideas for improving the brand awareness of distance online education and training. The research results provide theoretical data support for parents to perceive the brand recognition of distance online education and training.
Machine Learning-Driven Lending Decisions in Bank Consumer Finance
Authors: Wang Xiaoning , Tang Yi , Quaranta Anna Grazia
Published: July 2024

This paper investigates the bank lending decision process for internet consumer finance using machine learning. It focuses on microloans and compares Logistic Regression and GBDT models for credit risk assessment. Variables are filtered and recoded via Information Value and WoE methods to enhance discrimination between defaulting and performing users. Experimental results utilizing these models predict credit risk and optimize using AUC values. Additionally, it develops a fixed-effect regression model to explore how bank-specific factors affect systemic risk, revealing that larger banks reduce risk, while higher returns, non-performing loans, and equity volatility elevate it, with inconclusive effects from leverage ratio.
Cloud IoT-Oriented Secure College Physical Education Teaching Platform Vased on Deep Learning
Authors: Zhang Qi
Published: July 2024

In physical education (PE) teaching, the teaching platform is comprehensively applied to provide students with high-quality PE teaching resources to meet their learning needs in different forms. A human motion trajectory detection method is proposed based on deep learning and superpixels. The initial positioning of human body is performed through the attention mechanism and the YOLOv5 model, and the human target tracking is performed through superpixels. Aiming at the difficulty of cross-domain security management due to the lack of security infrastructure in multi-domain cloud IoT, a lightweight certificateless cross-domain authentication scheme is designed. Simulation results show that the proposed detection method has significantly improved accuracy and running time compared with traditional methods and can adapt to different detection scenarios. Furthermore, the proposed certificateless cross-domain authentication scheme can securely access sensor-generated data under the cloud IoT of the PE teaching platform in colleges.
An Interactive Multimedia Model for Developing QOE-Enhanced E-Learning Platforms
Authors: Kivuti Edwin Mwosa , Kaburu Dennis , Ogada Kennedy Odhiambo
Published: July 2024

This paper provides an approach to providing QOE enhancement for a multifaceted learning platform that includes streamed media content. We demonstrate how the QOE of a multifaceted platform can be enhanced using the Lighthouse tool. The Lighthouse tool helped improve the page load speed by 75%. We also demonstrate how the playback quality of the video streaming content can be enhanced using CMAF-formatted DASH content. When compared to single-bit rate media, DASH-based media provided better video playback quality. The study also evaluates the learners` preferences for specific interactive features of a learning platform. The least preferred feature uniquely had static content. The results of this study provide empirical data that would help instructional designers make feature selection choices that`s guided by empirical data and improve the QOE of their instructional learning platforms.
Identifying Alternative Options for Chatbots With Multi-Criteria Decision-Making
Authors: Srivastava Praveen Ranjan , Singh Harshit Kumar , Sakshi Surabhi , Zhang Justin Zuopeng , Li Qiuzheng
Published: July 2024

Artificial intelligence-powered chatbot usage continues to grow worldwide, and there is ongoing research to identify features that maximize the utility of chatbots. This study uses the multi-criteria decision-making (MCDM) method to find the best available alternative chatbot for task completion. We identify chatbot evaluation criteria from literature followed by inputs from experts using the Delphi method. We apply CRITIC to evaluate the relative importance of the specified criteria. Finally, we list popular alternatives of chatbots and features offered and apply WASPAS and EDAS techniques to rank the available alternatives. The alternatives explored in this study include YOU, ChatGPT, PerplexityAI, ChatSonic, and CharacterAI. Both methods yield identical results in ranking, with ChatGPT emerging as the most preferred alternative based on the criteria identified.
Research on Joint Strength and Mechanism of Composite/Aluminum Alloy Connections Based on FDS Technology
Authors: Ge Xing , Liu Hai Jiang , Zhu Li Bin , Yu Zi Jian , Wu Chen Yu
Published: July 2024

This paper applies Flow Drill Screws (FDS) technology to the joining of composite materials and metal materials. It investigates the connection strength and mechanism between thermosetting carbon fiber reinforced composites and metal materials, as well as between thermoplastic carbon fiber reinforced composites and metal materials. The study includes shear tests and metallographic tests to analyze the two types of connections. The experimental results demonstrate the feasibility of using the FDS process for composite materials and metal materials. It is found that the FDS process is more suitable for connecting thermoplastic composites and metal materials compared to thermosetting composites and metal. This type of connection exhibits a smaller damage range at the interface and allows the thermoplastic matrix to effectively fill the threaded connection area after heating. Additionally, the micro-mechanical interlocks generated at the laminate interface can effectively increase the connection strength.
Slenderness Limits and Buckling Response of Bamboo Scrimber under Axial Compression
Authors: Goonewardena Janeshka , Ashraf Mahmud , Subhani Mahbube , Kafle Bidur , Reiner Johannes
Published: July 2024

Bamboo scrimber is a promising engineered bamboo material in the construction sector due to its favourable mechanical and aesthetic properties. Although considerable research on mechanical properties has been conducted, there is a gap in the knowledge of slenderness limits for short columns of bamboo scrimber. Slenderness limits suggested in four testing and structural design standards that are commonly used for engineered bamboo have been critically analysed and compared to identify their relative shortcomings. From these standards, Eurocode 5 proposes a better limit while the others behave conservatively. Owing to the lack of a design standard for engineered bamboo, researchers abide by standards compiled for timber/engineered timber to predict the compressive response of intermediate and long columns. In addition to showing the limitations of these studies, a rational column equation has been derived with a modified Euler load that yields reasonable accuracy with respect to two experimental studies.
The Sorption Isotherm of Pretreated Breadfruit Starch Flour
Authors: Adebayo W. A. , Andero S. O. , Bankole R. O.
Published: July 2024

This study investigated the sorption isotherm of breadfruit starch with the view of providing sorption isotherm data that will enhance its storability and utilization in food formulation. The sorption isotherm of breadfruit starch flour at temperature levels (30, 35, 40, and 45 ℃) and water activity (ranging from 0.1 – 0.9) using sulphuric acid was experimentally investigated in an incubator until equilibrium moisture content (EMC) was obtained gravimetrically. The sorption data obtained was fitted into six different existing mathematical models using linear (Origin statistical procedure) and non-linear (Gauss-Newton) regression programs. The models were compared using the coefficient of determination (R2), residual mean square error (RMSE) and the sum of square error (SSE). The sorption models' predictive parameters were used to determine the best-fitting model. The results showed that the Modified Henderson model and Halsey model are best suited to predict the sorption isotherm of breadfruit (Artocarpus altilis) flour. In conclusion, this research gives insights for understanding the sorption isotherm behaviour of the breadfruit flour which is crucial in predicting shelf-life stability, designing and optimization of drying equipment and choosing appropriate packaging material for the product.
Employee Training for Sustainable Development: Insights from Siṅgāla sutta
Authors: Nandabodhi Ven. B.
Published: July 2024

The Siṅgāla sutta (Discourse to Sigala) elucidates the dynamics of social relationships by delineating duties and obligations across six domains. This discourse emphasizes the importance of understanding and practicing these obligations as its central teaching. It is proposed that the sutta can be subjected to an alternative analysis, to enhance the overall sustainable development of society This study aims to explore the utilization and influence of those doctrinal elements on human and organizational behavior, fostering stronger interpersonal connections and more robust governance structures. In addition to the six quarters, the discourse encompasses key concepts such as the Four Corrupt Deeds, Four Grounds, Six Drains on Wealth, and Six Drawbacks of Drinking. Employing content analysis as a methodological approach, this study delves into the qualitative examination of these doctrinal concepts to preserve the discourse's authenticity and depth. It seeks to unravel the interconnectedness between social, physical, mental, spiritual and educational advancements resulting from the diligent practice of these foundational teachings, which extend beyond the benefits derived from fulfilling duties and obligations across the six quarters. Ultimately, this study endeavors to elucidate how these factors influence individual and organizational capacities, enhancing skills and capabilities for the betterment of society as a whole.
Antibiotic allergy: Mislabels, Misinterpretation and Mismanagement
Authors: Badanasinghe C. N.
Published: July 2024

Antibiotics are implicated as one of the most common medications to cause allergic reactions. Further, they account for the highest number of deaths due to drug induced anaphylaxis. Yet, antibiotic allergies are over-reported and most often, patients with a self-reported or recorded antibiotic allergy are not truly allergic when clinically evaluated, tested, and re-challenged. These antibiotic allergy “mislabels” can have devastating consequences on public health as they may result in displacement of the first-line treatment options with increased use of restricted, broad spectrum antibiotics leading to emergence of antibiotic resistance and significantly higher healthcare cost. Owing to the public health implications of inaccurate antibiotic allergy labels, this review aims to include a contextual account on classification, presentation and mechanisms of antibiotic allergy and a practical approach for investigation and management in the attempt to avoid mislabelling, misinterpretation of investigations and mismanagement of patients with antibiotic allergy.
Piezo channels in migraine and trigeminal pain syndromes: a systematic review of their role in pain pathways
Authors: Asimakopoulos Thalis , Kourousi Marianna , Varrassi Giustino , Rekatsina Martina
Published: July 2024

Piezo channels, a class of mechanosensitive ion channels, have emerged as key players in sensory transduction. Piezo1 and Piezo2 have been implicated in various physiological processes, including touch sensation and nociception. Their association with migraine and their role in pain involving trigeminal nerve have gained significant research attention. Following PRISMA guidelines, we performed a systematic review of the literature, on the role of Piezo1 and Piezo2 channels in migraine and trigeminal pain. From PubMed, Cochrane Library, and Scopus, we deemed 20 studies published between 2014 and 2023 appropriate to be included in this review. Piezo1 emerges as a key player in migraine pathogenesis, contributing to meningeal nociception and pain generation. In trigeminal pain syndromes, Piezo channels, particularly Piezo2, have a role in various pain conditions, from corneal nociception to dental and orofacial pain. Mechanistic insights provide potential therapeutic targets for migraine and other pain conditions involving trigeminal nerve. This systematic review accentuates the emerging significance of Piezo channels in migraine and trigeminal-associated pain, underscoring cross-associations that interconnect Piezo channels, migraine, and trigeminal neurons, as well as suggesting promising avenues for targeted therapeutic interventions and future research directions.
Do not move! Spinal immobilization or spinal motor restriction: the long-lasting debate from the Napoleonic Wars to 2024 SIMEU policy statement
Authors: Serra Sossio , Poggiali Erika , Rugna Mario , De Iaco Fabio , Ghiadoni Lorenzo
Published: July 2024

The management of spinal trauma in the pre-hospital setting is based on techniques of immobilization for prevention of secondary neurological damage in high-risk patients during transportation.1 Since the ’70s, the traditional form of Preventive Spinal Immobilization (PSI) has been carried out using a long spinal board, head blocks, and immobilization straps often associated with the placement of a cervical collar.2 The first documentation of this practice comes from the early 19th century, when pre-hospital trauma care was introduced on the battlefields of the Napoleonic Wars.3 This strategy is still adopted by many pre-hospital medical services worldwide and taught as the gold standard on many trauma courses. The traditional form of PSI is indeed based more on pragmatism than on high-quality studies supporting its efficacy.3 [...]