bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ethical and Secure Evidence Generation from Regionwide Clinical Data through a Collaborative Environment for Advancing Predictive Care
Authors: Muñoyerro-Muñiz Dolores , Villegas Román , Oliva Víctor de la , Esteban-Medina Alberto , Valle Patricia Fernández , Sánchez Ana , Susin M. Belen , Gutierrez-Alvarez Isidoro , Reboredo Marta , Alejos Laura , Loucera Carlos , Dopazo Joaquin 
Published: November 2024

Abstract

Background: Data protection is often regarded as a major hurdle in clinical research, especially when handling sensitive patient information. However, by managing sensitive data within a secure environment, it becomes possible to mitigate these challenges and promote evidence generation through clinical data studies. This manuscript introduces a collaborative environment which facilitates the secure and ethical secondary use of clinical data for medical research. The environment combines a comprehensive health population database, integrating real-world data (RWD) from over 15 million patients, with a legal framework for patient privacy and data security and a secure processing environment (SPE) for ethically compliant clinical data research.
Methods: The SPE of this collaborative environment is a computational infrastructure (IRWD), located within the healthcare corporative network, that enables large-scale studies essential for real-world evidence (RWE) generation. Within iRWD, diverse studies can be conducted, including treatment efficacy assessments, survival analyses, and the development of predictive models. These studies leverage RWD to perform robust analyses while maintaining compliance with stringent regulatory standards, such as the European Health Data Space (EHDS) and the General Data Protection Regulation (GDPR), which govern data security and patient privacy.
Results: One of the key outcomes facilitated by this infrastructure is the systematic development of early endpoint predictors. These predictive algorithms can identify high-risk patients before symptoms emerge, enabling preventive interventions. The approach promotes a shift in healthcare from a reactive model to a preventive one, allowing for early, efficient, and cost-effective treatments that improve patient outcomes. Additionally, the model supports public-private partnerships, generating revenues that sustain this collaborative environment while reinforcing its capacity for continuous healthcare innovation.
Conclusions: The integration of clinical big data within a legally compliant and secure framework provided by the SPE offers a sustainable and proactive model for healthcare improvement. The infrastructure supports the development of cost-effective predictive models that are particularly valuable for an aging population, ultimately transforming healthcare delivery into a proactive, data-driven system. By positioning the health system as a central player in knowledge generation and wealth creation, this collaborative initiative sets a new benchmark for data-driven healthcare models across Europe and beyond, highlighting its potential for global adaptation and impact.
Septal Thickness as a Predictor for Appropriate ICD Shocks in Hypertrophic Cardiomyopathy Patients
Authors: Danesh Sina , Ahadi Mahsa , Nikoo Mohammad Hossein 
Published: November 2024

Abstract

Introduction:
implantable cardioverter defibrillators (ICD) can prevent sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM) patients. Guidelines assess HCM patients regarding SCD risk to identify ICD candidates. This study aimed to evaluate the correlation between receiving an appropriate shock and SCD’s main risk factors in patients with ICD.
Method
All the HCM patients with ICD implantations during 2006 to 2021 in Alzahra and Shahid Faghihi hospitals in Shiraz, Iran who were ≥ 18 were included. Patients with other cardiac or chronic underlying diseases were excluded. Patients were divided into two groups based on receiving an appropriate or inappropriate shock. We used Pearson correlation test to find correlations between receiving an appropriate shock and cardinal risk factors of SCD. A receiver operating characteristic curve was plotted to define a cutoff point for the variables that were correlated to appropriate shock.
Result
We enrolled 71 patients (65% male). The mean age of participants was 46.0 ± 17.5 years. Patients who experienced an appropriate shock during the follow-up period (24 patients), were younger (41.3 ± 13.3 years). Only septal thickness of > 18mm showed a significant correlation with receiving an appropriate shock with 87.5% sensitivity and 86% specificity (all P values < 0.001). The mortality rate in our population was 5.6%.
Conclusion
conventional risk factors of SCD have a low predictive utility for appropriate shocks. The latest guidelines state that left ventricle wall thickness ≥ 30 mm is an isolated risk factor. We suggest the septal thickness > 18mm as a potential risk factor in SCD risk assessment guidelines.
Improving Participant Recruitment in Clinical Trials: Comparative Analysis of Innovative Digital Platforms
Authors: Bikou Alexia Georgia , Deligianni Elena , Dermiki-Gkana Foteini , Liappas Nikolaos , Teriús-Padrón José Gabriel , Beltrán Jaunsarás Maria Eugenia , Cabrera-Umpiérrez Maria Fernanda , Kontogiorgis Christos 
Published: November 2024

Background
Pharmaceutical product development relies on thorough and costly clinical trials. Participant recruitment and monitoring can be challenging. The incorporation of cutting-edge technologies such as blockchain and artificial intelligence has revolutionized clinical research (particularly in the recruitment stage), enhanced secure data storage and analysis, and facilitated participant monitoring while protecting their personal information.

Objective
This study aims to investigate the use of novel digital platforms and their features, such as e-recruitment, e-consent, and matching, aiming to optimize and expedite clinical research.

Methods
A review with a systematic approach was conducted encompassing literature from January 2000 to October 2024. The MEDLINE, ScienceDirect, Scopus, and Google Scholar databases were examined thoroughly using a customized search string. Inclusion criteria focused on digital platforms involving clinical trial recruitment phases that were in English and had international presence, scientific validation, regulatory approval, and no geographic limitations. Literature reviews and unvalidated digital platforms were excluded. The selected studies underwent meticulous screening by the research team, ensuring a thorough analysis of novel digital platforms and their use and features for clinical trials.

Results
A total of 24 digital platforms were identified that supported clinical trial recruitment phases. In general, most of them (n=22, 80%) are headquartered and operating in the United States, providing a range of functionalities including electronic consent (n=14, 60% of the platforms), participant matching, and monitoring of patients’ health status. These supplementary features enhance the overall effectiveness of the platforms in facilitating the recruitment process for clinical trials. The analysis and digital platform findings refer to a specific time frame when the investigation took place, and a notable surge was observed in the adoption of these novel digital tools, particularly following the COVID-19 outbreak.

Conclusions
This study underscores the vital role of the identified digital platforms in clinical trials, aiding in recruitment, enhancing patient engagement, accelerating procedures, and personalizing vital sign monitoring. Despite their impact, challenges in accessibility, compatibility, and transparency require careful consideration. Addressing these challenges is crucial for optimizing digital tool integration into clinical research, allowing researchers to harness the benefits while managing the associated risks effectively.
Mobile App for Improving the Mental Health of Youth in Out-of-Home Care: Development Study Using an Intervention Mapping Approach
Authors: Park Jinyoung , Lee Jungeun , Noh Dabok 
Published: November 2024

Background
Youth in out-of-home care encounter substantial mental health challenges because of the absence of stable family and social support systems. Their vulnerability is heightened by trauma, neglect, and abuse. They struggle, especially when transitioning to independent living, coping with loneliness, anxiety, and pressure.

Objective
This study aimed to develop a mobile app with high accessibility and long-term continuous effects to support independent living and improve mental health among youth in out-of-home care. The approach used was the systematic and step-by-step intervention mapping (IM) framework.

Methods
The program was created using the IM framework and had 6 steps. Drawing from data from individual and focus group interviews and literature reviews, we developed a logical model of the problem. We established program outcomes and objectives, defining performance objectives and variable determinants. We identified theoretical and evidence-based methods that influence determinants. The app design integrated these methods into practical applications, allowing for the creation of self-management and emotional support tools. The development process included ongoing discussions between app designers and the research team to ensure that user needs and preferences were addressed.

Results
Individual interviews and focus group discussions revealed challenges in managing daily routines and regulating emotions. The program design was based on the transtheoretical model, social cognitive theory, and elaboration likelihood model. Key features included goal setting, structured routines, emotion recognition flashcards, character models demonstrating emotion regulation strategies, verbal persuasion, and self-monitoring tools to support habit formation and emotion regulation. An implementation plan was developed to facilitate the app’s adoption, execution, and maintenance, while an evaluation plan was established, including app usage analytics, user logs, and feedback surveys. A randomized controlled trial will be conducted to assess the app’s impact on mental health outcomes, focusing on reducing anxiety and depressive symptoms, improving emotion regulation, and enhancing daily living skills.

Conclusions
The IM framework was beneficial in developing a mobile app to enhance the mental health of youth in out-of-home care. The study produced a program grounded in theory and evidence that caters to the needs of these individuals. Further research should aim to verify the app’s effectiveness in real-world settings and refine it continuously based on user input.
Cinemáticas errantes da Boca do Lixo
Authors: Bonisson Marcos 
Published: November 2024

A proposta deste texto é refletir, através de uma narrativa geopoética, sobre as trajetórias e a poética cinemática do artista Rogério Sganzerla na Boca do Lixo e no mundo. A Boca do Lixo, situada no bairro Santa Efigênia, no centro de São Paulo, hoje também conhecida como Cracolândia, foi um ativo polo de intensa produção cinematográfica independente nas décadas de 1960 e 1970. Sganzerla foi um atuante crítico de cinema desse período, escreveu artigos marcantes para importantes publicações e filmou nesse topônimo de São Paulo várias cenas de O Bandido da Luz Vermelha (1968), um dos filmes mais emblemáticos da história do cinema brasileiro. A partir de uma grande amizade e de uma colaboração criativa nos últimos 15 anos de vida com o cineasta (1946-2004), este texto fez parte de minha pesquisa de doutorado no PPGCA-UFF, cujo título é Rogério Sganzerla: poéticas cinemáticas de invenção.
Successful complete vaginectomy in dorsal recumbency: description of surgical technique without repositioning combining celiotomy and episiotomy in three dogs
Authors: Mala Barbora , Witsberger Tige , Vlasin Michal 
Published: November 2024

Abstract

OBJECTIVE
To describe a simultaneous surgical approach to the abdominal cavity and perineum for complete vaginectomy performed in dorsal recumbency and to create a schematic for guiding the procedure without the need for patient repositioning.

ANIMALS
3 client-owned dogs with urogenital pathology.

CLINICAL PRESENTATION
The first dog, an 11-year-old neutered female Border Collie, presented with stranguria and tenesmus. The second dog, a 13-year-old intact female Cocker Spaniel, was referred for further investigation of a vaginal mass. The third dog, a 12-year-old intact female Border Collie, presented with polyuria/polydipsia and vaginal discharge.

RESULTS
Data concerning complete vaginectomies performed in dorsal recumbency between June 2023 and June 2024 were retrospectively reviewed. A single intraoperative complication, involving perforation of the caudal urethra, was encountered in the third dog. Postoperative complications included intermittent urinary incontinence responsive to medical treatment in the first dog and transient self-limiting urinary incontinence in 2 dogs. Long-term follow-up revealed excellent outcomes with satisfactory cosmetic results for the first, second, and third dogs, with follow-up periods of 12, 8, and 4 months, respectively. No complications related to positioning were encountered, and no conversions were required.

CLINICAL RELEVANCE
The combination of ventral midline celiotomy with episiotomy in dorsal recumbency is a feasible, well-tolerated technique that provides optimal surgical access and visualization. Eliminating the need for intraoperative repositioning reduces anesthetic and surgical times while maintaining sterility, stability, and continuous monitoring.
Assessing the influence of ruminating ungulates on forest regeneration and young stands in Slovakia: results from the National Forest Inventory
Authors: Šebeň Vladimír , Konôpka Bohdan 
Published: November 2024

Abstract
Our analyses utilized data from the latest National Forest Inventory conducted in Slovak forests in 2015–2016. Specifically, we included data on approximately 21,737 trees grown on forest land and 3,342 trees on non-forest land, all with a height of up to 1.3 meters. Browsing emerged as the second most frequent limiting factor for regeneration on forest land, following light deficiency, whereas on non-forest land, it ranked third after ground vegetation and light deficiency. Our results revealed the highest browsing rates on goat willow (47.8%), silver fir (39.3%), and rowan (35.1%). Conversely, certain commercial tree species exhibited relatively low browsing rates, notably Norway spruce (13.9%), European beech (8.1%), and oaks (6.2%). Among abiotic factors, exposition and slope were found to be significant, the south aspect was associated with the highest browsing rates, while browsing rates decreased with increasing slope steepness. Planted trees were more frequently browsed than those of natural origin. At the same time, higher trees (height between 0.5 m and 1.3 m) were browsed more frequently than small trees (under 0.5 m). Furthermore, significant differences in browsing frequency were observed among specific territories (hunting sub-regions), with the heaviest browsing occurring in the southwestern and northeastern parts of Slovakia, as well as in the Rimavská Sobota district. Given that reducing browsing pressure primarily relies on hunting activities, which are outside the forestry sector, close collaboration between foresters and hunters is essential. Additionally, hunting strategies in the near future must consider also the needs of other sectors such as forestry, agriculture, and nature conservation.
Artificial Intelligence and Creativity: Anthropological, Sociological and Pedagogical Reflections
Authors: Siri Anna , Olcese Gianluca , Spulber Diana 
Published: November 2024

Abstract
Artificial Intelligence (AI) is redrawing the boundaries of human creativity, challenging our traditional notions of art and expression while raising important sociological and anthropological questions. This article explores the complex relationship between human creativity and AI and how these new technologies are redefining the boundaries of art and creative expression. Starting from an evolutionary analysis of the concept of creativity, the article explores the impact of AI on creative processes and the perception of art. It shows how AI contributes to a “loss of aura” in art and changes the relationship between humans and the creative process. Finally, the article emphasises the importance of a critical and reflexive approach in analysing these phenomena and highlights the need for training in new technologies to cope with the complexity of these changes. This interdisciplinary study provides valuable tools to understand how AI is redefining not only the creative process but also our notions of art, authenticity and human expression in the digital age.
The Game Changer: How Artificial Intelligence is Transforming Sports Performance and Strategy
Authors: Pisaniello Andrea 
Published: November 2024

Abstract
This systematic review examines the integration of artificial intelligence (AI) in sports, focusing on its applications in performance analysis, injury prediction, tactical decision-making, and talent identification. Drawing from a comprehensive analysis of the existing literature, this study highlights the pivotal role of AI-driven technologies, such as machine learning algorithms, computer vision systems, and predictive analytics, in transforming the landscape of sports science and management. Key findings suggest that AI significantly enhances the accuracy of athlete performance tracking, optimizes injury prevention strategies through biomechanical data analysis, and supports real-time decision-making in coaching. Despite these advancements, challenges persist, particularly regarding the interpretability of AI models, ethical considerations surrounding data privacy, and the potential over-reliance on automated systems. This review underscores the transformative potential of AI in sports while identifying critical research gaps and suggesting avenues for future investigation.
AI in inclusive education which differences in research trend
Authors: Spulber Diana 
Published: November 2024

Abstract
In modern education systems, inclusive education is an approach that aims to meet the different needs of all students, especially those from underrepresented groups, by ensuring everyone has fair access to good education. It sees the value in every child and creates a setting where differences are accepted and appreciated. Artificial intelligence (AI) can change how we learn, especially in the area of inclusive education. Using AI technologies is important to meet students’ different needs, particularly those with disabilities. Studies show that AI can create personalized learning by adjusting content to fit individual needs and giving quick feedback with smart tutoring systems. Additionally, using AI in teaching methods can improve engagement for students from underrepresented groups, which helps combat existing gaps in educational success. However, even with the increasing recognition of AI’s advantages, challenges like poor infrastructure and lack of teacher training remain, making it hard to implement effectively. The manuscript’s aim is to analyse the trend of publication research. Mainly, the manuscript focuses on analyzing the paradigm that is used in research when academicians treat arguments about AI inclusion and Education. The results will create an opportunity for future discussion on the effects of AI on inclusive education, looking at both the possibilities it offers and the obstacles that need to be addressed to build fair learning environments for every student.
Prevalence, molecular identification and genotyping of the crayfish plague pathogen, Aphanomyces astaci in major narrow-clawed crayfish (Pontastacus leptodactylus Eschscholtz, 1823) populations from Türkiye
Authors: Akhan Süleyman , Çağatay İfakat Tülay , Berber Selçuk , Taştan Büşra , Taştan Yiğit , Dalar Tuba 
Published: November 2024

Abstract

Introduction
Crayfish plague is considered the most important crayfish disease globally. It is caused by the fungus-like agent, Aphanomyces astaci. This study aimed to identify and determine the prevalence of A. astaci using PCR in narrow-clawed crayfish (Pontastacus leptodactylus) populations from across Türkiye.

Material and Methods
A PCR was carried out with primers specific to the internal transcribed spacer region of the A. astaci pathogen on both telson and abdominal cuticle tissues from crayfish individuals from 41 different locations.

Results

Aphanomyces astaci was detected in the crayfish from 34 of the locations. Molecular diagnosis showed the prevalence rates of A. astaci to be between 0% and 68.2%. For 7 of the 34 locations, the strain of A. astaci was determined. Microsatellite analysis of tissue from individuals with positive PCR results revealed the A. astaci genotypes in seven populations. Genotype B was found to be the predominant genotype responsible for crayfish plague in Turkish crayfish populations. The Psl genotype (genotype B) was determined in six of the populations, and the As genotype (genotype A) was detected in only one.

Conclusion
Crayfish plague poses a significant threat to crayfish populations, necessitating the development of rapid, highly sensitive diagnostic methods. An understanding of the sensitivity of the PCR detection method and of the prevalence and genotyping of A. astaci in Turkish crayfish populations has been gained from this study.
Towards appropriate training for Moroccan laboratory professionals: Identifying QMS needs
Authors: Feniche Mohammed El , Gazzaz Hassane , Omari Hajar El , El-Mouhdi Karima , Arai Mounir , Aatik Yassine El , Ouardi Abdelghani El , Kharrazi Anass , Kaddouri Ahmed Chbihi , Bouaiti El Arbi 
Published: November 2024

Abstract

Background
Professional development plays a key role in improving laboratory quality management by enhancing staff skills and knowledge to implement and maintain the quality management system (QMS). This research aims to identify and prioritize continuing training needs for Moroccan laboratory professionals in QMS and to formulate recommendations for suitable training programs.

Methods
The present research is a cross-sectional, quantitative study conducted among a larger group of laboratory professionals from September 2021 to May 2023. The data collection tool was a self-administered questionnaire. Statistical data analysis was performed by IBM SPSS version 22.0 software calculating Chi-square.

Results
A total of 478 people participated in the study. Participants’ training needs on various topics related to quality in medical laboratories ranged from 68.20% to 84.52%, covering several subjects such as quality tools (82.01%), continuous improvement (83.68%), ISO 9001 (83.26%), and ISO 15189 (79.71%).

Conclusions
The results indicate a favorable trend toward continuing training in QMS. These suggestions should be considered when formulating future training programs to foster strong commitment and continuous improvement of skills, thereby improving the quality of healthcare provision and guaranteeing patient safety.