bluuebunny/crossref_metadata_2025 huggingface dataset:
Faire descendre le maître de son piédestal. Retour sur parcours d’un formateur-chercheur
Authors: Glâtre Philippe
Published: December 2024

Cet article propose un retour sur mon parcours pédagogique, retracé au regard du maître ignorant, figure proposée par Jacques Rancière à l’aune des travaux de Joseph Jacotot. Autant dans l’accompagnement à la Validation des Acquis de l’Expérience, que dans la préparation aux concours, où la Lutte Contre l’Illettrisme, il s’agit d’interroger la place du savoir et la relation favorable à une émancipation des apprenants. Une focalisation sur des ateliers de slam et des projets de poésie orale, effectués à La Réunion dans des formations en travail social, permet de montrer comment les perspectives de l’Enseignement universel ont inspiré ma pratique, notamment en inventant des moments translingues, faisant descendre le maître de son piédestal. Cette horizontalisation de la relation rend possible une démarche d’intercompréhension, trop peu utilisée en didactique des langues et cultures. L’instauration d’une égalité des intelligences passe enfin par des projets lors desquels les étudiants font l’expérience du terrain, dans une optique de recherche, rendant ainsi au savoir sa dimension démocratique.
Raymond Aron, les sociétés démocratiques modernes et l’éducation
Authors: Roelens Camille
Published: December 2024

Cet article relève de la philosophie politique de l’éducation, de l’histoire des idées et de l’exploration du paradigme théorique des figures inspirantes pour (penser) l’éducation. Nous nous y intéressons plus spécifiquement à Raymond Aron, et montrons qu’il est une importante figure inspirante pour une socialisation démocratique. Nous nous intéresserons à la redécouverte de la pensée tocquevillienne de la modernité par Aron - en contrepoint à celle de Marx - et de son rôle dans la structuration du débat public autour de l’opposition démocratie-totalitarismes (1). Nous replongerons ensuite dans l’analyse de la compréhension de la modernité et de l’individualisme démocratique qu’Aron développa dans son essai sur Mai 68 (2). Nous dégageons enfin les linéaments d’une philosophie politique de l’éducation d’inspiration spécifiquement aronienne, et ce qui fait sa particulière actualité pour penser la socialisation démocratique.
La Scuola Rinnovata de Giuseppina Pizzigoni entre droits de l’enfant et changement social
Authors: Chistolini Sandra
Published: December 2024

Giuseppina Pizzigoni (1870-1947), fondatrice de la Scuola Rinnovata Pizzigoni à Milan, est l’une des plus grandes figures de la pédagogie du XXe siècle en Italie. Le plan éducatif de 1907 a commencé avec une nouvelle structure de bâtiment selon la méthode expérimentale, qui fonctionne encore aujourd’hui. La Rinnovata faisait partie du mouvement des nouvelles écoles et présentait les caractéristiques d’une école active. L’idée ingénieuse de l’enseignante et directrice a bouleversé l’organigramme et la méthode de l’école publique et gratuite pour donner accès à l’éducation à tous les enfants de zéro à quatorze ans. Elle a anticipé l’éducation en plein air et théorisé l’environnement d’apprentissage spécial, riche en sujets éducatifs. L’école est conçue comme une réponse aux besoins sociaux nés par l’industrialisation, l’urbanisation, les migrations internes. Le malaise de l’enfance exigeait une nouvelle conscience sociale et civique, la formation d’une culture démocratique. Le Fondo Pizzigoni, une collection créée au sein du département des sciences de l’éducation de l’université de Roma Tre, rassemble des documents qui témoignent de la pédagogie et de la méthode. Privilégiant la perspective de l’ethnométhodologie, nous discutons de la validité de la méthode expérimentale pour enseigner selon la nature, la vérité et l’expérience pour une école inclusive et durable caractérisée par des processus de socialisation démocratique.
Conception honnethienne d’une socialisation au service de la démocratie et de la liberté sociale
Authors: Bachand Charles-Antoine
Published: December 2024

Cet article s’intéresse aux travaux du philosophe francfortois Axel Honneth portant sur la liberté sociale. Avec le concept de liberté sociale, Honneth espérait offrir une définition plus satisfaisante de la liberté qui ne serait ni négative, ni morale, ni strictement juridique. S’inspirant des travaux des premiers socialistes, il cherche ainsi à réconcilier les trois promesses révolutionnaires que sont la liberté, l’égalité et la fraternité. Il estime que la liberté ne peut être que collective et qu’il n’est possible d’espérer la réalisation des aspirations individuelles et collectives que dans le contexte d’une relation de coopération mutuelle. Alors que l’autonomie et la liberté sont généralement admises comme des finalités de l’éducation, la liberté sociale de Honneth permet-elle d’imaginer une autonomisation qui serait solidaire ? De même, quelles implications pourrait avoir une telle conception de la liberté sur la socialisation y compris en contexte scolaire ? Ce sont des pistes qui seront explorées dans cet article théorique.
Des enseignants brésiliens sur les réseaux sociaux : gestion de la proximité et de la distance face au public scolaire
Authors: Santos Tiago Ribeiro
Published: December 2024

Au Brésil, la présence des réseaux sociaux dans les interactions entre enseignants et élèves permet d’interroger un travail collectif de gestion de la proximité et de la distance. À partir de témoignages d’enseignants, nous cherchons à comprendre les pratiques de gestion des rapports scolaires sur Facebook. Les rapports sont analysés à la lumière des travaux d’Erving Goffman et de deux catégories d’analyses qui rassemblent les impressions que les enseignants ont d’eux-mêmes lorsqu’ils parlent de l’utilisation de Facebook. La première catégorie pointe sur ce que nous appelons « rassemblement de cercles sociaux différenciés », permettant de reconnaître la singularité d’un espace comme Facebook par rapport à la gestion de la proximité et de la distance de l’enseignant avec le public scolaire. La seconde se distingue par les « conditions techniques de discrétion » signalant des marges de manœuvre que les enseignants utilisent sur le réseau social en ligne, établissant une forme idéale de distance avec leurs élèves. Ces catégories aboutissent à une réalité dans laquelle les enseignants gèrent à la fois leurs relations avec le public scolaire (et avec la technologie) ainsi que leurs images personnelles et les éventuels (dis)crédits pédagogiques qui leur sont liés.
Stratégies organisationnelles pour fournir des services d’enseignement des langues étrangères aux adultes de plus de 45 ans
Authors: Rudnyeva Iryna
Published: December 2024

L'organisation de services éducatifs pour les personnes âgées de plus de 45 ans est essentielle pour leur développement personnel, leur participation à la vie économique, leur inclusion sociale et leur bien-être mental. Les législations internationale et locale soutiennent ces initiatives. Elles visent à offrir des possibilités d'éducation équitables et inclusives pour tous les âges et à recueillir les bénéfices de l'engagement fructueux de ces personnes dans la vie économique et sociale d'un pays. L'article vise à examiner les stratégies de prestation de services éducatifs aux apprenants adultes (citoyens âgés de plus de 45 ans) dans différents pays (pays européens, États-Unis, Australie, Chine, Ukraine, Brésil, Japon et Portugal), en se concentrant sur la question de savoir si ce processus est intégré dans les services publics et les services d'éducation en rapport avec le cadre du concept d'apprentissage tout au long de la vie. Les méthodes utilisées comprenaient l'analyse de la littérature dans des bases de données telles que Google Scholar, JSTOR et ERIC, l'analyse comparative de documents de politique éducative, des études de cas et des rapports provenant de différents pays, la méta-analyse, des observations sur le terrain et d'autres méthodes typiques du domaine de l'éducation comparée et de l'éducation générale. Elles ont été utilisées pour fournir une analyse complète et équilibrée de la manière dont les différents pays organisent et mettent en œuvre des services d'enseignement des langues étrangères pour les adultes de plus de 45 ans. Les résultats révèlent que les approches de l'enseignement des langues étrangères pour les adultes de plus de 45 ans varient considérablement d'un pays à l'autre. Cela reflète les traditions historiques, les valeurs culturelles et les besoins sociétaux actuels propres à chaque nation. Cette diversité des approches peut être classée en quatre catégories principales : les services fournis par les services sociaux, les systèmes éducatifs formels, les systèmes éducatifs informels et les services autoorganisés, ce qui nous permet de présenter l'approche dominante de l'enseignement des langues étrangères aux personnes de plus de 45 ans dans chaque pays. L'étude conclut que l'offre de services d'apprentissage des langues étrangères pour les personnes de plus de 45 ans varie considérablement d'un pays à l'autre, ce qui reflète des traditions historiques, des attitudes culturelles et des besoins actuels différents. Que ce soit par le biais des services sociaux, des systèmes d'éducation formelle, des canaux éducatifs informels ou de l'auto-organisation, l'approche de chaque pays souligne l'importance d'adapter les services éducatifs pour répondre aux besoins d'une population adulte en quête d'un développement personnel et professionnel continu.
Lifelong Learning
Authors: Bashir Tabassum , Akhouri Deoshree , Afroj Salma , Khan Kalim Ahamd , Akanksha  , Hamza Hamza
Published: December 2024

This chapter examines lifelong learning among older people and highlights the relationship between lifelong learning, economic participation, and demographic trends. Through an analysis of the theoretical underpinnings, demographic developments, and practical ramifications, it seeks to improve the conversation on older adult education. To support older adults in their ongoing learning endeavors, regardless of their self-identification as learners, the chapter redefines traditional educational concepts by promoting a broader understanding of learning as a lifelong process and emphasizing the integration of emerging learning theories, research, and policies. In cognition, emotion, and behavior, psychological theories are examined and emphasize how aging impacts mental processes and emotional experiences. Lifelong learning is essential for improving employability in a labor market that is constantly changing and for adjusting to the workforce's needs, which benefits both individuals and the economy. The chapter promotes the removal of obstacles to lifelong learning and development.
Digital Inclusion and Economic Participation of the Elderly
Authors: Afroj Salma , Bashir Tabassum , Vishnu Pallav , Khan Kalim Ahmad
Published: December 2024

An extensive review of digital inclusion among seniors is given in this chapter, with particular attention on social integration promoted by digital technology, economic engagement, and the effects of post-COVID-19 digital inclusion. It seeks to make a significant contribution to the current conversation on digital inclusion by examining the tactics and obstacles that go along with it. Technology continues to influence how we obtain health information, maintain relationships with loved ones, and participate in society as our living environments grow more digitally connected. This pattern has been highlighted by the COVID-19 pandemic, proving internet access a crucial socioeconomic factor that influences health. The usage of digital technologies by older individuals has a direct impact on their quality of life and health outcomes more than ever before. It draws attention to the expanding significance of digital technology for daily activities, social communication, and healthcare access, with digital access emerging as a major social determinant of health.
Intergenerational Caregiving on Grandparents Health
Authors: Dev Priya S. , Eljo J. O. Jeryda Gnanajane , Srinivasan S.
Published: December 2024

In contemporary society, parents strive to provide a better life for their children by pursuing job opportunities. There is a significant increase in parents entrusting the duty of baby care to their own parents or in-laws. Taking care of grandchildren is a herculean task for some, while for others; it brings happiness and enjoyment during their retirement life. In these circumstances, they have their own concerns regarding health, family, children, as well as the grandchildren in their care. The findings of the study reveals that, the positive, as well as negative, aspects of intergenerational caregiving have substantial importance in the area of policy making. The study conclude with a statement regarding the need of Social support policies, that can play a pivotal role in identifying the needs of grandparents during the caregiving process and the essentiality to establish intergenerational bonding between grandparents and young adults.
AI's Call to Action
Authors: Chakraborty Pranashi , Paul Shyamalendu
Published: December 2024

The combination of Quantum Networks and Artificial Intelligence is increasingly seen as a potent force that has the potential to drastically alter the provision of healthcare services. With an emphasis on topics including precision medicine, drug discovery, predictive analytics, telemedicine, and improving healthcare infrastructure, this study explores the relationships between artificial intelligence and quantum networks and how they are used in the healthcare industry. Healthcare providers can utilize advanced computational power, improve data security, and enable secure and efficient data sharing and analysis by integrating AI algorithms with Quantum Networks. Yet, the incorporation of these technologies also brings about difficulties, such as technical obstacles, ethical concerns, and regulatory intricacies. The article emphasizes the significance of teamwork among healthcare, AI, and Quantum Networks stakeholders to tackle obstacles and unlock the complete capabilities of these technologies.
Harnessing Quantum Networking for Enhanced Societal Health and Resilience Through Awareness
Authors: Madhu S. , Anuradha K.
Published: December 2024

This paper proposes a web application to address challenges in emergency care for addiction. The platform aims to bridge the gap by delivering precise, comprehensible, and targeted information to users. Acknowledging the discomfort experienced by individuals dealing with addiction when considering visits to healthcare facilities, the web application goes beyond conventional approaches. It introduces a user-centric ecosystem facilitating online appointment bookings with healthcare professionals, real-time chat options with doctors, and avenues to seek healthcare advice, motivation, and counseling services. This strategic amalgamation ensures a seamless and secure user experience, emphasizing the responsive design elements of Bootstrap and React, coupled with the efficiency of Python for server-side processes. The integration of AWS services and quantum networking underscores the platform's commitment to secure data storage, prioritizing safeguarding sensitive information.
Quantum Networks-Driven Deep Learning Framework for Predicting Testicular Cancer Risk Factors Advancing Precision Medicine
Authors: Yadavalli Nikhil , Ponnaluri Venkata Durga Naga Sree , Allagadda Karthik Kumar Reddy , Vysyaraju Prateesh Raju , P. V. V. S. Srinivas , T. K. Rama Krishna Rao
Published: December 2024

One of the most prevalent cancers among young men is testicular cancer, necessitating accurate risk assessment and early detection strategies. This paper presents a quantum networks-driven deep learning framework designed to predict testicular cancer risk factors, thereby enabling precision medicine interventions. Leveraging convolutional neural networks (CNNs), our approach analyzes multi-modal data, including genetic, demographic, and clinical information, to identify patterns indicative of the vulnerability to testicular cancer. Through extensive experimentation and validation on large-scale datasets, the model demonstrates superior performance in risk factor prediction compared to traditional methods. Moreover, the framework offers interpretability insights, facilitating a deeper understanding of the underlying biological mechanisms driving testicular cancer development. This research represents a significant advancement in the field of oncology, paving the way for personalized risk assessment and early intervention strategies tailored to individual patients
An Intelligent Diagnosis of Anemia Using Tensor Flow
Authors: Nithyashri J. , Ramya Pasala Sree , Mathur Isha
Published: December 2024

Typically, hemoglobin levels are measured in the patient's blood to make the diagnosis. But as research develops, techniques other than assessing the conjunctival pallor may be used to determine hemoglobin levels. A framework consisting of decision tree, logistic regression comparison techniques, as well as the Histogram of Oriented Gradient (HOG), attempts to diagnose diabetes from connected photos. A consensus was reached on issues like room size 8x8, block size 8x8, bin number 15, L2Hys block normalization and entropy process, the best discriminator, random state is 10, minimum pollution reduction is 0.15, and the system can produce 82.5% of the test images, which had an image size of 256x128 based on the results of HOG and decision tree. As for the logistic regression is concerned, the best is blocking normalization and random state with unit size 16x16, block size 8x8, number of bins 11, L2Hys 30, system capacity, utilizing the Stochastic Gradient Descent (SGD) optimizer method. 92.5% of the best outcomes were produced in 24.20 seconds of calculation time.
Leveraging Quantum Networks for Early Detection of Heart Diseases and Breast Cancer
Authors: Yelleti Durga Sai Deepak , Nakka Hrushikesh Bhaanu , Velaga Hema Vardhan , Karre Anirudh , P. V. V. S Srinivas , Amarendra K.
Published: December 2024

The integration of quantum networks with machine learning (ML) algorithms and deep neural networks (DNNs) has the potential to revolutionize medical imaging and electrocardiogram (ECG) analysis, particularly in diagnosing heart conditions and breast cancer. By leveraging quantum computing's enhanced processing capabilities, medical practitioners can achieve unprecedented accuracy and speed in identifying anomalies in cardiac structures and functions, as well as in categorizing malignant lesions indicative of breast cancer.Furthermore, in heart disease and breast cancer pathology, quantum-enhanced ML algorithms analyze ultrasound, CT, and MRI imaging data to detect cirrhosis, fibrosis, and hepatocellular carcinoma, differentiating between healthy and diseased tissues for early intervention. This quantum-based implementation empowers clinicians with superior diagnostic accuracy, facilitating prompt treatment, improving patient outcomes, and advancing the field's capability to diagnose complex medical conditions.
Advancing Alzheimer's Disease Diagnosis Leveraging Quantum Networking With AI and ML-Driven CNN Models
Authors: Afreen Ziya , Vadlamudi Saranya , Chandu Uma Mahesh , Pasupuleti Lokesh Babu , P. V. V. S. Srinivas , V. V. S. Sasank
Published: December 2024

A complex neurodegenerative disease, Alzheimer's disease (AD) gradually erodes cognitive abilities and memory.Quantum networking is used to create a robust neuroimaging data processing system to overcome speed and quality constraints. This article discusses the importance of neuroimaging techniques like PET, MRI, and cerebrospinal fluid biomarkers for Alzheimer's disease (AD). We discuss Alzheimer's disease diagnosis challenges, including the need for large datasets from multiple centers, model understanding, and data diversity. In this paper, we delve into the intricate architectures of CNN models, the methods used to extract features, and the most recent advancements in the use of CNNs for the detection of Alzheimer's disease (AD). Additionally, we investigate the potential of AI in actual clinical settings for Alzheimer's disease diagnosis, highlighting the significance of models that are simple by medical professionals. To guarantee the correct integration of AI-powered diagnostic tools into clinical workflows, researchers, physicians, and industry individuals must collaborate.
Expanding AI Using Quantum Network Models for the Genetic Architecture of Back Pain
Authors: Amutha S. , Vasujadevi Midasala , Sandhya M. , Anandaraj A.
Published: December 2024

The operation of quantum network models to evaluate artificial intelligence (AI) styles in the context of evaluating the inheritable armature of back pain techniques. Back pain is a prevalent health problem that has complicated underlying causes that can be seen in families. When it comes to dealing with the huge datasets that are required for inheritable studies, traditional techniques to artificial intelligence sometimes suffer scalability issues. To solve this scalability issue, the utilization of quantum network models provides a promising result. These models can efficiently reuse and deconstruct enormous quantities of inheritable data because they make use of the concepts of quantity mechanics. This makes it easier to examine the intricate inheritable components that contribute to back pain. To unravel the inheritable problems of back pain, the purpose of this study is to demonstrate the efficacy of merging neural network models with applications of artificial intelligence. This might potentially lead to additional treatments that are more focused and effective in the future.
Mental Illness Monitor
Authors: Lakshmi B. Sri Sarshika Vaibhav , Priyalakshmi B. , Elamaran E. , Jahnavi Meeravathu , Srivas Mandalika Sai
Published: December 2024

Significant risks to both physical health and mental well-being are posed by stress, prompting the need for the development of comprehensive assessment techniques. In this study, data from electroencephalogram (EEG), temperature sensors, accelerometers, and heartbeat sensors are combined to learn more about the physiological effects of stress. Through the analysis of relationships between EEG brainwave patterns, skin temperature changes, physical movement captured by accelerometers, and heart rate variations, nuanced insights into the complex dynamics of stress are sought. The findings elucidate the complementary information offered by EEG, ECG, accelerometer, temperature, and heart rate sensor measurements under stress conditions, enhancing our understanding of stress-related physiological responses. Quantum networking will help in creating more efficient machine learning techniques by its parallel processing capabilities
Utilizing Quantum Networks to Ensure the Security of AI Systems in Healthcare
Authors: Ramesh T. R. , Sharma Ambrish Kumar , Balaji Thotakura , Umamaheswari S.
Published: December 2024

In the field of healthcare, the development of artificial intelligence (AI) gives a tremendous opportunity for improving patient care and medical diagnostics. However, the safety of these artificial intelligence systems continues to be a major worry. There is a possibility that traditional encryption methods will not be able to withstand advanced cyber threats. This research proposes to improve the safety of artificial intelligence systems in the healthcare industry by utilizing the power of Quantum networks. Because quantum networks are based on the principles of quantum mechanics, which are comparable to those of traps and superpositions, they provide security in previously unforeseen conditions. It is possible to have sensitive case data transferred securely by implementing Quantum communication protocols into healthcare AI systems. This will protect the data from being intercepted and from being accessed by unwanted parties. When it comes to protecting AI operations in the healthcare industry, ensure patient sequestration, and the integrity of medical data.
AI and Quantum Network Applications in Business and Medicine Machine Learning-Based Classification and Prediction of DDoS Attacks Using Naive Bayes
Authors: G. Hemantha Kumar , K. Senthil Kumar
Published: December 2024

Artificial Intelligence (AI) and Quantum Networks represent transformative technologies with significant implications for both business and medicine. AI's capacity to analyze vast amounts of data and make predictive insights, combined with quantum networks' unparalleled speed and security, holds the potential to revolutionize various sectors. This paper explores the applications of AI and quantum networks in business and medicine, highlighting their synergistic benefits and the future landscape they promise. Concurrently, Distributed Denial of Service (DDoS) attacks pose noteworthy risks, particularly in the realm of cybersecurity. These attacks typically originate from either the request layer or the network layer, exploiting the interconnectedness of systems within a network. The impact of DDoS attacks can range from severe disruptions to targeted servers to inconveniencing users attempting to access specific services, resulting in reputational damage, productivity losses, revenue setbacks, and even theft for large businesses and financial institutions.
Efficient and Secure Data Sharing in AI-Driven Quantum Network Applications for Business and Medicine
Authors: S. Ganapathy Balaji , Senthilkumar K.
Published: December 2024

With cloud computing, users have easy and on-demand access to applications and services, catering to a dynamic group of users whose demographics evolve over time. To facilitate secure data transmission while safeguarding privacy, we propose a scalable and flexible sharing framework tailored for cloud environments, which allows users to communicate data anonymously using group signature and dynamic broadcast encryption techniques. Additionally, the convergence of AI and quantum networks enhances this framework by offering unprecedented capabilities in business and medicine through secure and high-speed data transmission. Advanced cryptographic techniques such as quantum key distribution (QKD) and AI-driven dynamic access control ensure data confidentiality and integrity amidst frequent changes in user groups. Our comprehensive solution seamlessly adapts to varying group sizes, integrating cloud computing, AI, and quantum networks to provide a robust and efficient data-sharing framework for dynamic environments.
AI and Quantum Networks for Enhanced Organizational Performance
Authors: K. L. Meera , Sarkar Prithu , Aravinda K. , Ajitha G. , Singh Navdeep , Dhanraj Joshuva Arockia
Published: December 2024

By enhancing computational capabilities, data processing rates, and decision-making accuracy, the integration of AI and quantum networks has the potential to significantly enhance organisational performance.Quantum networks are an exceptional foundation for artificial intelligence applications because they enable rapid communication and guarantee the secure transfer of data. The objective of this investigation is to evaluate the advantages and disadvantages of integrating quantum networks with artificial intelligence (AI). It also intends to investigate the potential effects of this integration on various sectors, including strategic planning, operations, and customer service. The research endeavours to offer a glimpse into the potential future challenges that may result from this combination. The current advancements in the sector are assessed in this article, and case studies are provided to demonstrate the substantial transformation that these technologies can bring to firms by improving efficiency, promoting creativity, and obtaining a competitive advantage.
Synthesis and Characterization of Chitosan/Alginate Hydrogel Using CaCl2 as a Crosslinking Agent
Authors: Nafisah Azmia Rizka , Tarmidzi Fadhil Muhammad , Setiawan Deril , Ngabito Dimas Rivaldi
Published: December 2024

Hydrogels, a type of polymer, can be synthesized from both natural and synthetic sources, including some biopolymers like alginate and chitosan, making them particularly interesting for biomedical applications. The popularity of hydrogels in the medical field is due to their high-water content, flexibility, and biocompatibility. Hydrogels, which can swell in a hydrated state, are capable of controlling the release of active substances in pharmaceutical and biomedical applications. Alginate and chitosan exhibit polyanionic and polycationic properties when dissolved under appropriate conditions, allowing them to interact with each other. This interaction occurs through the carbonyl groups of alginates and the amino groups of chitosan. Alginate also has the advantages of being non-toxic, biodegradable, biocompatible, and non-allergenic. Therefore, these two materials readily form polyelectrolyte complexes. The use of calcium chloride in producing hydrogels is due to its ability to perform ionic cross-linking on polymers such as alginate. Calcium chloride reacts with the carboxylate groups in alginate, forming stable cross-links between polymer chains. This cross-linking process results in a three-dimensional network that provides structure and stability to the hydrogel. The benefits of adding CaCl2, in addition to facilitating cross-linking, include increasing the viscosity of the alginate solution, which enhances the formation of the alginate matrix. This study demonstrates that the ratio of chitosan to alginate significantly influences the properties of the resulting hydrogel, impacting its swelling ratio, stability, and ultimately, its potential for biomedical applications. Specifically, the optimal ratio of 5A:1C exhibited superior swelling and gel fraction characteristics, suggesting its potential suitability for controlled drug delivery systems. The successful cross-linking confirmed by FTIR analysis further strengthens the viability of this specific composition for biomedical applications.
Bioplastic Properties of Cassava Peel Starch (Manihot esculenta) Influenced by the Addition of Crab Shell Chitosan and Zinc Oxide (ZnO)
Authors: Sasria Nia , Stanley Nababan John , Zulfikar Ainun
Published: December 2024

Cassava shell starch and crab shell chitosan can be used as basic for bioplastics with glycerol and additives such as zinc oxide (ZnO) to improve their mechanical properties. This study used the variables of ZnO percentage and crab shell chitosan mass, which has never been done before. This research process was carried out in several stages, the first was bioplastic synthesis using cassava shell starch, glycerol, and crab shell chitosan with variations of 1 g and 1.5 g with zinc oxide (ZnO) of 3% and 5% of the total mass of starch. The limitations of the research are that the thickness of the tensile test samples is only 0.1-1 mm and the method for making bioplastics is the solution casting method. The second stage is characterization using FTIR to analyze the functional groups of cassava peel starch. Next, observe the morphology on the sample surface using an optical microscope, then a tensile test is carried out to calculate the tensile strength value using the ASTM D882 standard. The results of this research show that the highest tensile strength value for the 1.5 g chitosan and 5% ZnO variation was 10,353 MPa, while the lowest was for the 1 g chitosan and 3% ZnO variation at 4,526 MPa. The elongation value obtained was the highest in the variation of 1.5 g of chitosan and 3% zinc oxide at 10.508%. Meanwhile, the lowest ductility value was found in specimens with variations of 1 g of chitosan and 5% zinc oxide, amounting to 6.716%. The level of water resistance from the swelling test was found to be the highest with the 1.5 g chitosan and 5% zinc oxide variation with water absorption of 23.14%, however, the highest water absorption of 39.36% was obtained with the 1 gr chitosan and zinc oxide variation 3%. Optical microscope testing on the surface of samples of variations of 1.5 g chitosan and 5% zinc oxide showed the best physical properties. Therefore, the addition of reinforcement in the form of chitosan and zinc oxide affects the tensile strength value of the bioplastic film, where the higher the amount of reinforcement used, the higher the strength value produced.
Analysis of Energy and Economic Advantages of Dolomite Clinker Production from Industrial Wastes
Authors: Vinnychenko Olena , Vinnichenko Varvara
Published: December 2024

Ukraine has accumulated a large amount of industrial waste. The paper presents the results of the behavior of a mixture of waste dolomite and waste coal during heating. During the operation of enterprises a large amount of “waste” - small fractions of dolomite, which are in the dumps, has been accumulated. Waste is a valuable raw material for production of dolomite binders - lime and cement. Dolomite waste is used for comparison. Comparative analysis showed: energy consumption decreases. Reduction of energy costs indicates reduced fuel consumption for the process. The analysis of reduction of operational costs as a result of replacement of high-calorie fuel by coal preparation waste is carried out. Reduction of operational costs is shown when using dolomite waste instead of dolomite. The economic calculation of reduction of operational costs as a result of replacement of high-calorie fuel by coal preparation wastes is carried out.
Basic Characteristics of the Deformation Diagrams of Compressed Concrete under the Action of Dynamic Loads
Authors: Romashko-Maistruk Olena , Romashko Vasyl
Published: December 2024

This article is devoted to the modeling of the stress-strain diagram of compressed concrete under the action of dynamic loads of various intensities. The main attention is paid to the influence of the strain rate of concrete on the determining parameters of this diagram. The degree of dependence of the dynamic increase factor (DIF) and the level of critical deformability of compressed concrete both on the rate of its deformation and on the level of elastic-plasticity (class) has been established. The analytical relationship between the main static and dynamic characteristics of the deformation diagrams of compressed concrete is established using the hypothesis of invariance and independence from the load mode of the specific potential energy of the ultimate deformation (destruction) of the material.
Inkjet-Printed Liquid Gated Graphene Field Effect Transistor for the Detection of Interleukin-6
Authors: Jabines Al Vincent Amigo , Enriquez Erwin P.
Published: December 2024

Interleukin-6 (IL-6) is an inflammatory cytokine that serves as an important prognostic biomarker for chronic diseases such as cancer and coronavirus disease. Label-free sensors that can conveniently detect IL-6 are essential for health monitoring purposes. Here, we present an aptamer-modified liquid-gated graphene field effect transistor (GFET) biosensor fabricated using inkjet printing techniques that can detect IL-6 levels. In this work, graphene ink suitable for inkjet printing was synthesized and formulated using the ultrasonic liquid exfoliation method. Exfoliated graphene was redispersed into a cyclohexanone/terpineol solvent system and optimized to achieve jettable ink with a Z-number of 13.7. The formulated graphene ink was then used to fabricate the GFET device, which in turn was decorated with IL-6 aptamer using organic linkers. The sensor response of the GFET was measured using the shift in the transistor current-voltage (I-V) transfer curves upon specific binding of the IL-6 with the aptameric GFET. The experimental results showed that the device can sensitively and selectively detect IL-6 in a 1xPBS background with a limit of detection of 372 pM. The fabricated GFET is on a flexible substrate that may be suitably incorporated into a face mask covering that could potentially sample IL-6 from collected saliva.
Synthesis CaTiO3: Er3+ Films on Titanium by Anodization and Hydrothermal Method for Drug Delivery Applications
Authors: Tuyen Nguyen Thi Thanh , Lan Le Thi Thu , Pham Vuong Hung
Published: December 2024

To address the limitations of traditional drug delivery, CaTiO3:Er3+ film (CTO:Er) is studied as a promising material for drug delivery systems. With regard to the excellent biocompatibility and physicochemical properties, CTO:Er prepared by a facile electrochemical anodizing process combined with a hydrothermal method has been used to fabricate new drug-releasing implants for localized drug delivery. This review discusses the development of CTO:Er applied in localized drug delivery systems, which uses nano drug curcumin for testing. Furthermore, with the special structure of the material, it meets the needs of drug absorption and delivery. Finally, the review concludes with the advances of CTO:Er for controlled drug delivery and corresponding prospects in the future.
Navigating Extrapulmonary Tuberculosis: A Case Series from a Tertiary Care Facility Highlighting Rare Presentations, Diagnostic Challenges, Drug Resistance, and Therapeutic Complexities
Authors: Pathak Megha R. , Pandya Karan Jaykrushna , Ramwani Surabhi P. , Pingalsur Anil , Karatela Shifa , Sisodia Jitendra A. , Dedun Amit R.
Published: December 2024

Background:

Extrapulmonary tuberculosis (EP-TB) constitutes one-fifth of all tuberculosis (TB) cases. EP-TB mimics common infections which pose diagnostic dilemma, requires extensive diagnostics that culminate into therapeutic delay often resulting in irrational and empirical institution of antitubercular therapy (ATT) in challenging cases. This supplemented by poor treatment compliance resulted in emergence of Drug-resistant (DR) strains of EP-TB which further impedes the path to recovery. The aim of the present series is to study the rare and diverse presentations of EP-TB caused by drug-sensitive (DS) and DR mycobacterium that require a multi-modal diagnostic approach and appropriate treatment.

Methods:

This observational retrospective series incorporated six rare EP-TB cases, excluding those with solitary lung affection and underwent comprehensive diagnostic tests aimed at microbial isolation from affected tissues with subsequent drug resistance testing. They were treated by integrative approach, standard (first/second/third line) ATT while few required emergent surgical interventions. Patient outcomes were evaluated based on clinicoradiological improvement and microbiological clearance determined in follow-up.

Results:

Out of six cases (four males and two females; age range: 14–62 years), pleural linings, kidneys, brain and its lining, skin, and axial skeleton were directly affected, while superior mesenteric artery (SMA) syndrome was an indirect consequence of infection. Elective thoracic and urosurgical interventions supplemented medical management in two cases while urgent neurosurgical decompression improved outcomes in Pott’s spine case that exhibited drug resistance. Notably of five DS EP-TB, one patient showed poor clinical response necessitating treatment escalation while nutritional rehabilitation was key in SMA syndrome.

Conclusions:

EP-TB requires high clinical suspicion and a multidisciplinary approach for diagnosis and treatment. Addressing treatment adherence, with emphasis on good nutrition to tackle cachexia, is necessary for favorable outcomes.
Non tuberculous Mycobacterial Surgical Site Infections after Laparoscopic Surgery: A Case Series of 37 Patients
Authors: Pathak Akshant Anil , Kumar Karan , Aggarwal Vaibhav , Agrawal Vivek
Published: December 2024

Nontuberculous mycobacterial surgical site infections (SSIs) have a distinct course of disease with diagnosis and treatment presenting challenges. Thirty-seven patients who underwent various procedures and then developed late SSI due to nontuberculous mycobacteria included in this case series. Samples were sent for diagnosis. Patients were started on a regime of levofloxacin with azithromycin. Multiple patients required repeat surgical intervention. The duration of treatment varied from 4 to 6 months. Complete resolution of symptoms occurred in all patients. Nontuberculous mycobacterial infections can be challenging to diagnose and treat. A high degree of clinical suspicion is warranted to limit morbidity.
Application, benefits, and limitations of herbal garment in natural medicine administration
Authors: Akingbolabo Daniel Ogunlakin , Onu-Boms Chimzi David , Ojo Oluwafemi Adeleke , Ogunlakin Oluwaseun Abigael , Owoeye Micheal Olumide , Adelakun Ajibola David , Adeyeye Sophie Adedamola , Esievo Kevwe Benefit , Sonibare Mubo Adeola
Published: December 2024

Natural dyes are becoming increasingly common for practical finishes that encourage an eco-friendly lifestyle. Natural dyes are renewable materials safe for the environment and do not cause toxicity, cancer, or allergic reactions. Transdermal Drug Delivery offers a pain-free method for delivering medication systemically by administering a drug formulation to intact, healthy skin. Herbal clothing dyed with these herbs has anti-inflammatory, antibacterial, and antioxidant qualities that help the skin and treat dermatitis. Herbal textiles/garments have immense potential in the worldwide textile industry and may one day become a significant textile product. Using herbs and textiles to achieve health while being ecologically conscious is a fantastic way to live a healthy lifestyle. Herbal clothing is becoming increasingly fashionable all around the world. Herbal-treated textiles are one of the most effective approaches to strengthen and extend the worldwide textile market share of the batik business. Herbal clothing is also non-toxic, non-carcinogenic, biodegradable, and eco-friendly, making it an appealing option for modern, well-informed shoppers seeking therapy. Furthermore, developing bio-colorants to meet rising demand will compel entrepreneurs to enter this sector in search of bigger profits, resulting in more employment creation. However, there is a need for standardization of dosages of extract to be used in dying clothes meant for the treatment of specific disease conditions.
A comprehensive Colorectal Cancer Medicinal Plants and Metabolites Database: CRCMMDB
Authors: Tripathi Pankaj Kumar , Jain Chakresh Kumar
Published: December 2024

Colorectal cancer (CRC) represents a significant health challenge due to the complexities of treatment, which often result in low efficacy and adverse side effects. Medicinal plants, rich in bioactive compounds, offer promising alternatives but the relevant data is scattered across various sources. Our Colorectal Cancer Medicinal Plants and Metabolites Database (CRCMMDB), consolidates this information into an accessible platform, facilitating the integration of genomic data, natural drugs, and medicinal plant metabolites that show promise in treating CRC. This resource aims to support more focused and effective research on natural therapies for CRC. The database integrates genome information, specific natural drugs for CRC, details on medicinal plants and their metabolites, along with associated pathways and activity in carcinoma, and FDA drug target genes for CRC. Employing one-to-many relationships throughout the data frame facilitates unrestricted connections. We utilized Django v4.3.2 and integrated SQLite3 for web development. The study reveals that CRCMMDB provides extensive data on genomics, CRC-specific natural drugs, medicinal plants, bioactive compounds, and FDA drug target genes. The 'natural drug' section includes curated therapeutic substances with details like PMID, drug ID, chemical structure, source plant, and mechanism of action. It also offers comprehensive coverage of CRC's stages, risk factors, preventive measures, symptoms, and related conditions. Users can explore plant-derived compounds like alkaloids and polyphenols, known to modulate oncogenic pathways like PI3K and Akt. Each plant entry is cross-referenced with NCBI, serving as a valuable resource for natural treatment research. CRCMMDB stands as a vital resource in CRC investigation, addressing the need for centralized data on natural medications. With increasing CRC prevalence globally, there's a critical demand for readily available information. CRCMMDB (http://crcmmdb.in) offers an easily navigable interface promoting the discovery of natural compounds for CRC treatment.
Evaluation of acute toxicity and DPPH radical scavenging activity of Bauhinia racemosa leaf extract
Authors: Jha Deepak , Parihar Ashish Singh
Published: December 2024

Medicinal plants have long been integral to traditional medicine, and Bauhinia racemosa is recognized for its therapeutic and antioxidant potential. This study evaluates the acute toxicity and antioxidant activity of the ethanolic extract from B. racemosa leaves to assess its safety and therapeutic potential. Acute toxicity was assessed following Organization for Economic Cooperation and Development (OECD) 423 guidelines, with female Wistar rats receiving oral doses of 5, 50, 300, and 2000 mg/kg. The rats were monitored for physiological and behavioral changes over 14 days. Antioxidant activity was evaluated by determining the total phenolic content (TPC) and total flavonoid content (TFC) using the Folin-Ciocalteu and aluminum chloride assays, respectively, and by measuring radical scavenging activity (RSA) through the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay. No adverse effects or mortality were observed at any dosage level, indicating the absence of acute toxicity. The TPC and TFC of the extract were 6.42 mg GAE/g and 7.39 mg QE/g, respectively. The DPPH assay revealed a dose-dependent increase in RSA, with an IC50 value of 206.56 μg/mL, confirming substantial antioxidant potential. The results suggest that B. racemosa ethanolic leaf extract is both safe and potent as a natural antioxidant, supporting its potential for therapeutic applications. Further studies on chronic toxicity and bioactive compound identification are needed to fully validate its efficacy in treating oxidative stress-related diseases.
Detection of OMPKs 36/37 porins and other resistance determinants in extended spectrum beta-lactamases (ESBLs) -producing K. pneumoniae
Authors: Akinola Omowumi T. , Dahunsi Samuel Olatunde , Okoh Anthony
Published: December 2024

The rise of β-lactamases and loss of porin by multidrug-resistant Klebsiella pneumoniae is an important global issue. This work aimed to reveal how the loss of outer membrane porin (OMP) contributes to resistance in Klebsiella pneumoniae to certain antibiotic drugs. In this study, standard microbiological techniques of phenotypic procedures were used to isolate K. pneumoniae (P10) from the hospital wastewater sample. A double disk synergy test was used for the phenotypic detection of ESBL. Whole-genome sequencing (WGS) was conducted on the Illumina platform, and the resulting raw read was de novo assembled using RAPT NCBI. The landscape of antibiotic resistance inside the genome was examined using online bioinformatics tools. The biochemical tests identified the isolate to be K. pneumoniae with 100% resistance to ceftazidime, cefepime, augmentin, and intermediate resistance to meropenem but was susceptible to gentamicin. The isolate was confirmed as an ESBL-producer by an enlarged inhibitory zone towards Augmentin-clavulanic acid. WGS results showed the isolate harbors blaTEM, and blaSHV with Ompk 36 and Ompk 37 porin loss. The K. pneumoniae (P10) isolate exhibited a multidrug-resistant profile characterized by ESBL production, additional resistance genes, and loss of OmpK36/37 porins, collectively conferring resistance to a wide range of antibiotics including carbapenem and posing significant challenges for clinical management and infection control.