bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy and Safety of Dihydropyridine Calcium Channel Blockers for Primary Hypertension: A Bayesian Network Meta-analysis
Authors: Wang Huiduo , Yang Hongxin , Zhang Zhiyong , Guo Hao 
Published: February 2025

Background:
Dihydropyridine-calcium channel blockers (DHP-CCBs) are effective
first-line blood pressure-lowering agents for primary hypertension. However, data comparing the
variations in efficacy and safety between different types of DHP-CCBs are scarce.

Aims and Objectives:
This study aimed to summarize the latest evidence on the benefits and
harms of seven DHP-CCBs (amlodipine, levamlodipine, felodipine, lacidipine, nitrendipine,
nifedipine, and benidipine).

Methods:
A meta-analysis of DHP-CCBs was carried out to explore differences in efficacy and
safety. We searched PubMed, Embase, the Cochrane Library, CNKI, Wanfang Data, and VIP
databases from inception to September, 2023, for randomized controlled trials (RCTs) comparing
DHP-CCBs. The main outcomes were blood pressure lowering and adverse events (AEs) during
treatment.

Results:
We included 181 RCTs (21,383 patients) in this analysis. In terms of efficacy, levamlodipine
ranked highest in reducing office blood pressure (surface under the cumulative ranking
systolic blood pressure = 80.81%, diastolic blood pressure [DBP] = 82.42%) and 24-h ambulatory
DBP (98.07%). Felodipine had the highest probability of reducing 24-h ambulatory blood pressure
(80.65%). Regarding safety, levamlodipine had the least impact on heart rate (85.71%). In
terms of AEs, benidipine had the highest rate for cardiovascular (86.58%) and digestive system
(93.57%) AEs. Nifedipine and amlodipine had the highest rates of central (80.65%) and peripheral
nervous system (83.28%) AEs, respectively. Levamlodipine exhibited significantly lower rates of
total AEs (1.24%), central nervous system AEs (1.28%), and cardiovascular system AEs (3.62%)
than the other interventions.

Conclusion:
In the office setting, levamlodipine may be the best treatment for primary hypertension,
and lacidipine shows good safety.
Fetal Movements during Maternal Apnea in the Third Trimester of Pregnancy: An Indicator of Resistance to Intrauterine Hypoxia
Authors: Urakova Natalya , Urakov Aleksandr , Olaiya Victor , Agyekum Vincentia , Ejeheri Fidelis , Dadzie Ekow , Shabanov Petr 
Published: February 2025

Background:
It was suggested that prenatal use of the Stange test in combination with
fetal biomechanics monitoring would provide an early diagnosis of excessively low fetal resistance
to hypoxia, which could be a criterion for timely cesarean section to prevent stillbirths and perinatal
encephalopathy.

Objective:
The purpose of this study was to investigate the movement dynamics of fetuses and
aquarium fish during acute model hypoxia, which revealed that the duration of their immobility
phase may serve as a biomarker of resistance to hypoxia.

Method:
This manuscript is a review of scientific articles and inventions using major international
databases, taking into account the selected keywords.

Results:
The use of the modified Stange test has been shown to provide real-time assessment of fetal
resistance to hypoxia for physicians and pregnant women. It has been shown that in normal
pregnancy and high fetal resistance to hypoxia, the fetus maintains a state of immobility for at least
30 seconds during maternal apnea. In the presence of severe feta-placental insufficiency, the duration
of fetal immobility during maternal apnea is less than 10 seconds. Therefore, fetal immobility
during maternal apnea with a duration close to zero indicates excessively low fetal resistance to hypoxia.
In such a case, an emergency cesarean section is recommended to prevent stillbirth and encephalopathy.

Conclusion:
The duration of fetal immobility during maternal apnea may serve as a biomarker of
fetal resistance to hypoxia. Prenatal screening of fetal resistance to hypoxia can improve the outcome
of pregnancy and childbirth.
JEAN-JACQUES ROUSSEAU CHEZ LES YOUGOSLAVES AUX XIXe ET XXe SIÈCLES
Authors: Vučelj Nermin 
Published: February 2025

Cet article se propose d’analyser la réception universitaire, critique et éditoriale de l’œuvre de Jean-Jacques Rousseau chez les Yougoslaves aux XIXe et XXe siècles. Comme le rassemblement des Slaves du Sud occupant le sud-ouest des Balkans fut d’abord un projet philologique et culturel, se précisant tout au long du XIXe siècle, connu sous le nom de « Mouvement illyrien », et que le terme « yougoslave » fut entré dans l’usage au XIXe siècle, bien avant la formation du Royaume des Serbes, Croates et Slovènes (1918), rebaptisé Royaume de Yougoslavie (1929), pour cette raison le présent article englobe les deux siècles de la réception yougoslave de Rousseau : de la première traduction datant de 1812 et le premier essai critique qui avait paru en 1884, jusqu’au bicentenaire de la mort de l’auteur français, célébré dans le numéro spécial de la revue la Pensée politique (Zagreb, 1979) et l’ouvrage monographique sur Rousseau chez les Serbes (Belgrade, 1990). La présente recherche offre ainsi un aperçu des traductions yougoslaves des œuvres de Rousseau et l’analyse des textes critiques, des ouvrages et des articles universitaires relatifs à la pensée de ce penseur controversé des Lumières françaises.
PHÉNOMÈNES DE FRAMING DANS LE DISCOURS ENVIRONNEMENTAL DES ENTREPRISES
Authors: Dalodière Romuald 
Published: February 2025

La communication des entreprises sur leur site Internet est une occasion idéale de se « mettre en scène ». Les organisations sont ainsi libres de présenter l’information à leur avantage, et, ce faisant, de tenter de diriger l’interprétation de leur public selon un procédé de framing. Sur la base de deux de ces formes de framing issues de la typologie de MacLachlan et Reid (1994), nous démontrons l’existence, dans deux corpus distincts, d’une corrélation statistique significative entre organisation spécifique de l’information dans le déroulé de la phrase, et recours aux figements thématiques du discours environnemental.
LE SENTIMENT NATIONAL VU L’INTERCULTURALITÉ DANS L’ENSEIGNEMENT DU FLE : PRÉSENCE DE LA CULTURE DE DÉPART DANS LES MANUELS DESTINÉS AUX COLLÉGIENS SERBES
Authors: Stikić Biljana 
Published: February 2025

Vu une approche interculturelle, l’article aborde la présence des éléments de la culture d’origine dans les livres de l’élève qui sont utilisés dans l’enseignement du FLE aux collèges de Serbie. Il s’agit de cinq méthodes de français : Le monde de Léa et Lucas, Images de France, Nouveau Pixel, Et toi ? et Club @dos. D’après leur analyse profonde, qui a pris en considération les contenus encadrés de la structure des livres de l’élève, on peut constater que la majorité des auteurs a élaboré la problématique d’une façon assez faible, en particulier les niveaux de thématique de l’unité, des textes de base et des exercices et activités. Les parties consacrées à la civilisation francophone et aux projets montrent pourtant un certain développement, et cela du point de vue comparatif ; on y pose des questions et exige la réalisation de petites tâches relatives à la tradition de la culture serbe telles que gastronomie, coutumes, histoire, géographie et sciences. La cause des résultats assez bas repose peut-être sur le fait que la plupart des méthodes sont originairement françaises, sans un public tout à fait précis, et qui n’ont pas été adaptées ni mises en contexte local. Pour soutenir la conduite des enseignants et unifier leurs démarches, on propose l’introduction de (petites) rubriques interculturelles régulières qui promouvraient davantage l’aspect comparatif de la culture d’origine.
QUAND L’EAU ET LE FEU SE METTENT AU SERVICE DE L’ART : DÉLUGE D’HENRY BAUCHAU
Authors: Vercruysse Jean-Marc 
Published: February 2025

Poète, dramaturge et romancier belge francophone, Henry Bauchau publie en 2010 un récit intense et délicat dont le titre, Déluge, renvoie à la création d’une toile monumentale représentant la catastrophe divine par un peintre marginal. Tous les personnages de l’intrigue vont évoluer au gré de la réalisation de cette œuvre fédérative et salvatrice.L’intertextualité biblique (mais aussi mythologique) est mise au service d’une réflexion sur l’art et du cheminement intérieur des protagonistes. Le déluge ne fait plus référence à un phénomène naturel mais à une introspection profonde. La narration développe un itinéraire subtil de la perception d’une rencontre improbable à l’émotion artistique et l’action créative. Florian, le peintre pyromane qui brûle habituellement ses dessins et ses tableaux, parviendra-t-il, cette fois-ci, à préserver sa dernière œuvre, diluvienne comme son sujet et fourmillante de couleurs, dans laquelle l’eau et le feu présentent la même ambivalence ?Œuvre de la maturité (parue quelques mois avant la disparition de son auteur) et écrite dans une langue sobre et élégante, Déluge d’Henry Bauchau témoigne de la dimension cathartique qu’offre la création à plusieurs mains et embarque son lecteur dans une arche à la silhouette très contemporaine.
LA TRADUCTION ENTRE PERCEPTION ET ACTION - RÉFLEXIONS ET ENJEUX POUR LE TRADUCTEUR DU FRANÇAIS VERS LE MACÉDONIEN-
Authors: Babamova Irina 
Published: February 2025

Dans cet article, nous explorons les défis liés à la traduction du vocabulaire des sensations, en particulier de celui des sons, des bruits et des couleurs. Les sensations engendrent des perceptions qui, en tant qu’opérations complexes mentales, nous permettent d'organiser les données sensorielles, de former une représentation des phénomènes extérieurs et de comprendre le monde réel. En traduction, la perception du traducteur est conditionnée par celle de l'auteur. Elle se présente plutôt de façon virtuelle, car il s'agit de percevoir à travers les mots du texte qu’il faudra traduire en saisissant la perception de l'auteur.Qu'il s'agisse de la perception visuelle, auditive ou autre, la perception de l’auteur se manifeste à travers un vocabulaire spécifique. La compréhension du message repose sur la capacité du traducteur à « voir les couleurs et les images » ou à « entendre les sons » présents dans le texte source, à interpréter correctement le sens du lexique lié à différentes sensations et à les relier à ses connaissances et à sa compréhension du monde.En nous basant principalement sur un corpus d’exemples tirés de dictionnaires et de textes littéraires, nous tentons d'illustrer les défis inhérents à la traduction des éléments sensoriels tels que les sons, les bruits et les couleurs. Les langues observées sont le français et le macédonien.
Estrategias didácticas para el desarrollo de la comunicación verbal en inglés en los estudiantes de grado tercero del instituto champagnat de Pasto
Authors: Narváez Cerón Jenny Patricia 
Published: February 2025

Ser competente en el siglo XXI exige una educación de calidad que prepare a niños y jóvenes como ciudadanos globales capaces de responder a los desafíos de la vida en diferentes ámbitos.
El Instituto Champagnat de Pasto, consciente de la necesidad del aprendizaje del inglés, en consonancia con las indicaciones del Ministerio de Educación Nacional, ha iniciado un camino hacia un colegio bilingüe.
El aprendizaje de un idioma se basa en la comunicación oral, entonces es importante recrear situaciones comunicativas donde los estudiantes escuchen y hablen en inglés para propiciar un entorno auténtico y significativo. Para maximizar el tiempo de clase en actividades conversacionales, la presente investigación orientada por los lineamientos del paradigma mixto y la investigación acción participativa, realizada con estudiantes de grado tercero, no solamente propone la selección y uso de estrategias de enseñanza eficientes que contribuyan al desarrollo de habilidades comunicativas, según su nivel y edad, de manera gradual, sino también diseñar e implementar actividades y materiales educativos que fomenten su desarrollo según las necesidades y características de los estudiantes y posteriormente, evaluar su efectividad. En el diagnóstico se empleó el examen internacional Starters y para el proceso de recolección de información, se utilizó videos, grabaciones, fotos y entrevistas.
¿Cuáles son las estrategias didácticas que potencian el desarrollo de habilidades de comunicación verbal en inglés? Son estrategias relacionadas con diálogos, videos, elaboración, uso y presentación de minibooks sobre diferentes situaciones comunicativas, festival de la canción, oración de la mañana y actividades para el cuidado del planeta, como campañas del agua, mensajes de protesta, capacitaciones y exposiciones en el colegio y en un congreso sobre reducir, reusar, reciclar y la clasificación de basuras, potenciando la interdisciplinariedad en la enseñanza del inglés, dinamizando el trabajo de aprendizaje basado en proyectos “EcoMaristas, protectores de nuestra casa común”.
Development and Validation of the Patient-Level Chinese Diabetes Outcome Model on Long-term Complications in Type 2 Diabetes: An Application of the Hong Kong Diabetes Register
Authors: Lau Eric S.H. , Luk Andrea O.Y. , Lim Lee-Ling , Wu Hongjiang , Yang Aimin , Kong Alice P.S. , Ma Ronald C.W. , Ozaki Risa , Chow Elaine Y.K. , Tsang Chiu-Chi , O Chun-Kwun , Fu Amy , Gregg Edward W. , Clarke Philip , So Wing-Yee , Lui Juliana N.M. , Chan Juliana C.N. 
Published: February 2025

OBJECTIVE
Patient-level simulation models, mainly developed in Western populations, capture complex interactions between risk factors and complications to predict the long-term effectiveness and cost-effectiveness of novel treatments and identify high-risk subgroups for personalized care. However, incidence of outcomes varies significantly by ethnicity and region. We used high-quality, patient-level register data to develop the Chinese Diabetes Outcomes Model (CDOM) for predicting incident and recurrent events in type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS
The CDOM was developed using the prospective Hong Kong Diabetes Register (HKDR) cohort (n = 21,453; median follow-up duration, 7.9 years; 166,433 patient-years). It was externally validated with a retrospective territory-wide cohort of Chinese patients with T2D attending Hong Kong publicly funded diabetes centers and community clinics (n = 176,120; follow-up duration, 7.2 years; 953,523 patient-years).

RESULTS
The CDOM predicted first and recurrent events with satisfactory performance during internal (C-statistic = 0.740–0.941) and external (C-statistic = 0.758–0.932) validation after calibration. The respective C-statistic values for cancer were 0.664 and 0.661. Subgroup analysis showed consistent performance during internal (C-statistic = 0.632–0.953) and external (C-statistic = 0.598–0.953) validation after calibration.

CONCLUSIONS
The CDOM, developed using comprehensive register data with long-term follow-up, is a robust tool for predicting long-term outcomes in Chinese patients with T2D. The model enables the identification of patient subgroups to augment study design and develop tailored novel treatment strategies, inform policy, and guide practice to improve cost-effectiveness of diabetes care.
Feasible Implementation of Explainable AI Empowered Secured Edge Based Health Care Systems
Authors: Lateef Haroon P.S. Abdul , K N Hareesh 
Published: February 2025

Abstract
The Infusion of Explainable Artificial Intelligence (XAI) in secured edge-based healthcare systems addresses the critical challenges of ensuring trust, transparency, and security in sensitive medical applications. Existing healthcare systems leveraging traditional AI methods often face issues such as lack of interpretability, data privacy risks, and inefficiencies in real-time decision-making. These limitations hinder user trust and the adoption of AI solutions in clinical and edge environments. To overcome these challenges, we propose an XAI-empowered secured edge-based healthcare framework utilizing deep learning (DL) models, specifically Long Short-Term Memory (LSTM) networks, for accurate and interpretable diagnosis. The system incorporates the UNSW dataset to train and validate the model for healthcare anomaly detection and prediction tasks. By embedding XAI methodologies, the proposed framework ensures that decision-making processes are transparent and understandable to healthcare professionals, fostering trust and enabling better clinical decision-making. Our implementation addresses the critical need for secure and real-time healthcare analytics at the edge while maintaining high accuracy and privacy. Through rigorous experimentation, the proposed system achieves a remarkable accuracy of 99%, demonstrating its potential to revolutionize edge-based healthcare solutions. This research highlights the synergy between XAI, edge computing, and DL techniques in advancing secured and interpretable healthcare systems for real-world applications.
Design and Implementation of the Deep Reinforcement Energy Efficient Routing for the Fog-BAN-Cloud of Things using Smart Health care applications
Authors: Kumar S Pradeep , Venkatramulu S. , Chintapalli Siva Surya Narayana 
Published: February 2025

Abstract
The integration of Fog Computing, Body Area Networks (BANs), and the Cloud of Things (CoT) has revolutionized smart healthcare applications, enabling real-time data processing, seamless connectivity, and efficient resource management. However, the growing demands for energy-efficient operations and reliable data transmission in these systems present significant challenges. This study proposes the development of a Deep Reinforcement Learning (DRL)-based energy-efficient routing algorithm tailored for Fog-BAN-Cloud architectures in healthcare applications. The proposed solution leverages DRL models to dynamically optimize routing paths and scheduling policies, minimizing energy consumption while maintaining high Quality of Service (QoS). The routing algorithm prioritizes low-energy paths in BAN and Fog networks. The paper specifically employs Proximal Policy Optimization (PPO), a reinforcement learning technique, to optimize the routing decisions by considering factors including energy consumption, network congestion, and data traffic conditions. PPO is used to dynamically adjust the policy updates, ensuring stability while reducing power usage and improving data transmission efficiency. Extensive simulations highlights the performance of the proposed model, demonstrating potential improvements in energy efficiency, reduced latency, and enhanced data reliability compared to traditional methods. This work highlights the potential of intelligent algorithms to address the unique challenges of healthcare-driven IoT ecosystems, providing a scalable and sustainable solution for energy-efficient routing in Fog-BAN-Cloud environments. The proposed approach is a promising strategy for optimizing IoT-driven smart healthcare systems.
Reconceiving the Edge Intelligence Based IoT Devices for an effective Classification of ECG Systems
Authors: H Sangamesh , Cheripelli Ramesh , G S Nijaguna 
Published: February 2025

Abstract
The rise of Internet of Things (IoT)-enabled healthcare systems has led to the development of real-time, intelligent solutions for medical data processing, especially in electrocardiogram (ECG) signal classification. As wearable IoT devices for health monitoring become more widespread, there is increasing demand for an effective method that can run on edge devices, ensuring low-latency processing and real-time decision-making. This research introduces a novel method that integrates Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) networks for precise ECG classification. The model utilizes CNNs for spatial feature extraction from raw ECG signals, identifying key patterns like P-waves, QRS complexes, and T-waves, which are essential for accurate classification but challenging to extract manually. To capture the sequential nature of ECG signals, the model incorporates LSTM layers, which are effective at retaining long-range dependencies and recognizing patterns indicative of cardiovascular conditions. The system is trained and validated using ECG data collected from IoT-enabled wearable sensors, ensuring real-world applicability in edge computing environments. The model is designed to handle the constraints of edge devices, such as limited computational power, while maintaining high classification accuracy. The hybrid CNN-LSTM model achieves a 99% accuracy rate, surpassing existing Machine Learning (ML) models in terms of sensitivity, specificity, and overall performance. This approach offers a promising direction for integrating AI-based analytics into IoT-driven healthcare systems, enabling real-time, accurate decision-making for early diagnosis and intervention. It enhances IoT healthcare systems' scalability and practicality, improving patient monitoring and cardiovascular health outcomes.
To Design and Develop the Hybrid Blockchain Enabled IoT System for Secured Industry 4.0 Systems
Authors: Shiva Kumar K.B. , Veeresh  , IWENDI Celestine 
Published: February 2025

Abstract
The rapid evolution of Industry 4.0 has catalyzed the integration of advanced technologies to ensure secure, efficient, and scalable industrial systems. This study introduces a Hybrid Blockchain-Enabled IoT System tailored for secured Industry 4.0 environments. By combining the decentralized and immutable nature of blockchain technology with the real-time data acquisition and analytics capabilities of the Internet of Things (IoT), the proposed framework addresses critical challenges such as data integrity, cybersecurity, and system scalability. The IoT devices serve as edge nodes, collecting and transmitting data securely through a private blockchain network to mitigate risks of tampering and unauthorized access. The system leverages a hybrid consensus mechanism to balance computational efficiency with security. For evaluation, real-time industrial data, including sensor readings, machine states, and environmental parameters, were utilized to assess the system's performance in various industrial scenarios. The results demonstrate robust security, low latency, and seamless interoperability across connected devices. Compared to traditional centralized models, the proposed system offers superior resilience against cyber threats while maintaining high throughput and reliability. This research underscores the potential of merging blockchain and IoT technologies to pioneer secure and efficient Industry 4.0 systems, paving the way for sustainable and trustworthy industrial automation.