Enhanced Object Detection in Thangka Images Using Gabor, Wavelet, and Color Feature Fusion by Yukai Xian, Yurui Lee, Te Shen, Ping Lan, Qijun Zhao, Liang Yan

“…Existing detectors often struggle to capture both global structures and local details and rarely leverage domain-specific visual priors. …”
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COVID-19 vaccination refusal among the anti-vaccinationists in a Chinese society: a critical medical anthropology study of the vaccination barriers by Judy Yuen-Man Siu, Judy Yuen-Man Siu, Judy Yuen-Man Siu

“…A qualitative approach with individual, semi-structured, in-depth interviews was conducted from September 2022 to March 2023 with 30 individuals aged 20–59 years who did not receive COVID-19 vaccination in Hong Kong. …”
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Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes by Stijn Horck, Sanne Steens, Jermain Kaminski

“…Our study makes two primary contributions: first, it offers a new approach for future research on the factors that determine project success or failure, closely aligning with Structuration Theory. Additionally, it suggests potential efficiency improvements in theory development by enabling multiple pattern configurations within Grounded Theory. …”
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Expert consensus on medical nutrition therapy for people with type 2 diabetes by Alejandro Marin Sánchez, Katherine Restrepo Erazo, Karen Palacios Bayona, Angelica Veloza Naranjo, Sandra Mora Thiriez, Lina M Valencia, Carlos O Mendivil

“…Methods: This consensus process followed a structured three-step approach. First, a focus group was conducted to identify key topics requiring attention. …”
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Key Words as Markers of the Communicative Behavior of the Discursive Personality of the Nominee to the USA Presidency (Based on the Genre of Pre-Election Debates) by L. A. Kochetova, Ya. Yu. Demkina

“…The discursive personality of the US presidential candidate reflects the variable socio-ideological component of political discourse, which is manifested in a specific set of speech strategies and tactics and language structures that implement them.…”
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Exploring Multi-Channel GPS Receivers for Detecting Spoofing Attacks on UAVs Using Machine Learning by Mustapha Mouzai, Mohamed Amine Riahla, Amor Keziou, Hacène Fouchal

“…As a main contribution, we propose a more interpretable approach to exploit the dataset by extracting individual mission sequences, handling non-stationary features, and converting the GPS raw data into a simplified structured format. …”
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Implementing community-based interventions for the management of chronic conditions in low- and middle-income countries: A scoping review of qualitative evidence. by Syreen Hassan, Nancy Kagwanja, Brahima Diallo, Robinson Oyando, Pablo Perel, Anthony Etyang, Benjamin Tsofa, Ellen Nolte, IHCoR-Africa Collaborators

“…Data were thematically analysed and interpreted using the Socio-Ecological Model (SEM) to capture multi-level influences on implementation. …”
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Survival status and determinant factors of mortality among pediatric patients who underwent ventriculoperitoneal shunting surgery for hydrocephalus in Ethiopia by Mathewos Sileshi Menberu, Abdurehman Seid Mohammed, Yared Negussie Kebede, Getachew Mekete Diress

“…Data were extracted using a pre-tested, structured questionnaire. The Cox proportional hazard model was used to identify determinants of pediatric patient survival, where the hazard ratio, p-values, and 95% CI for adjusted hazard ratio were used to test significance and interpret the results. …”
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A Review of Advanced Deep Learning Methods of Multi-Target Segmentation for Breast Cancer WSIs by Qiaoyi Xu, Afzan Adam, Azizi Abdullah, Nurkhairul Bariyah

“…However, manually reviewing whole slide images (WSIs) for tissue segmentation is time-consuming and prone to errors, highlighting the need for multi-target deep learning models to automate the segmentation of these complex structures. …”
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Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation by Ramin Ansari, Sorayya Rezayi, Ali Asghar Safaei, Reza Mollazadeh, Eisa Rezaei, Mahboobeh Khabaz Mafinejad, Soha Namazi, Keyhan Mohammadi

“…Methods Primarily a semi-structured interview regarding the challenges in the field of thromboprophylaxis for AF and clinical pharmacists and cardiologists’ needs in practice was conducted. …”
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Machine Learning-Based Security Solutions for IoT Networks: A Comprehensive Survey by Abdullah Alfahaid, Easa Alalwany, Abdulqader M. Almars, Fatemah Alharbi, Elsayed Atlam, Imad Mahgoub

“…By synthesizing insights from recent advancements, this paper provides a structured framework for developing robust, intelligent, and adaptive IoT security solutions. …”
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Revising the Nottingham Inversion Instability as a bifurcation between two branches of steady states solutions of thermo-field emission from micro-protrusions by Darius Mofakhami, Benjamin Seznec, Philippe Teste, Romaric Landfried, Philippe Dessante, Tiberiu Minea

“…Abstract Unstable and destructive behaviors in the thermo-field electron emission by micro- and nano-metric structures typically lead to vacuum breakdowns, hindering the experimental exploration of the phenomenon. …”
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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis by Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

“…The limited research on deep learning has hindered both further analysis and the development of subgroup analyses across various models. Furthermore, challenges such as data heterogeneity and interpretability caused by segmentation and imaging parameter variations require further optimization and refinement. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…Transparency emerged as another major theme, with clinicians emphasizing the difficulty of trusting “black box” models that lack clear rationale or interpretability—particularly for rare or complex cases. …”
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Lyotard versus Hegel: The violent end of postmodernity by Herberg-Rothe Andreas

“…In addition, I see Lyotard as an outstanding representative of post-structuralism, with whom he shares comparable problems, so that I make cross-references to similarities in this position, even if I do not treat them separately here.…”
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Protocol of a mixed-methods evaluation of Perfect Fit: A personalized mHealth intervention with a virtual coach to promote smoking cessation and physical activity in adults by Milon H. M. van Vliet, Anke Versluis, Niels H. Chavannes, Bouke L. Scheltinga, Nele Albers, Kristell M. Penfornis, Walter Baccinelli, Eline Meijer

“…Qualitative data will be gathered via semi-structured interviews post-intervention. Data analysis will involve descriptive analyses, generalized linear mixed models (quantitative) and the Framework Approach (qualitative), integrating quantitative and qualitative data during interpretation. …”
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The role of gender in firm-level climate change adaptation behaviour: Insights from small businesses in Senegal and Kenya by Kate Elizabeth Gannon, Shaikh M.S.U. Eskander, Antonio Avila-Uribe, Elena Castellano, Mamadou Diop, Dorice Agol

“…This paper responds to this gap within existing literature and explores how female representation in the ownership or management structures of micro and small businesses shapes firm-level adaptive capacity, as implied through adaptation behaviour. …”
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Possibilities of statistical methodology in the study of economic security of the region by Dmitry V. Dianov, Elena A. Radugina

“…The use of the designated statistical tools allowed obtaining such results as justification of analytical capabilities and approbation of statistical methods in the study of economic security of the Moscow region; formation of clusters, consisting of homogeneous municipal districts of the Moscow region, designated as clustering units; calculation of relative analytical indicators; construction and interpretation of regression models.Conclusion: the complex of the obtained results and conclusions, as well as the scientifically based algorithm of statistical tools application, tested in the work, are undoubtedly an important information component in the management of economic and financial security not only in the Moscow region, but also in any region, both in the Central Federal district and in the whole central Russia.…”
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Understanding perception of the radiology community concerning virtual reality (VR) and augmented reality (AR) technology in radiology education by Suneet Paulson, Dwight Figueiredo, Sushant Matre

“…Furthermore, 3D VR simulation provides a detailed three-dimensional model of anatomical structures, enhancing learning. …”
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Um sistema para programação de uma estação FM by Márcio Samamede de Oliveira, Paulo Oswaldo Boaventura Netto, Rogério de Campos Teixeira

“…<br>The problem of music programming in a FM-rádio station can be structured as that of producing a certain number of 4-music sequences with a given ordering by given classes, such as Brazilian instrumental music; Brazilian vocal music; Foreign instrumental music; Foreign vocal music. …”
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