Trends in Lipid‐Lowering Agent Consumption in Croatia: A 25‐Year Observational Study by Andrej Belančić, Marta Kučan Štiglić, Luka Prgomet, Ivan Pećin, Željko Reiner, Dinko Vitezić

“…We conducted a population‐based analysis using IMS and IQVIA databases, calculating drug utilization in defined daily doses per 1000 inhabitants per day (DDD/1000) and evaluating financial expenditures and prescribing patterns. …”
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Geological heritage in UNESCO's World Heritage List: A critical review by Carles Canet, Driselda Sánchez-Aguirre, Laeticia García-Sánchez, Elizabeth Castañeda-Bastida

“…The Advisory Bodies of UNESCO evaluate nominated properties, including geological ones, with input from the International Union of Geological Sciences (IUGS) in this case. …”
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AI-Synthesized Image Detection: Source Camera Fingerprinting to Discern the Authenticity of Digital Images by Manisha, Chang-Tsun Li, Karunakar A. Kotegar

“…Traditional methods often fall short in addressing this evolving landscape where testing images can be produced by more powerful generative models or combined with various post-processing operations. …”
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Novel use of waste sawdust in green stormwater infrastructure (GSI) by Ebru Özer, Berrin Tansel

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Circadian Regulator-Mediated Molecular Subtypes Depict the Features of Tumor Microenvironment and Indicate Prognosis in Head and Neck Squamous Cell Carcinoma by Ling Aye, Zhanying Wang, Fanghua Chen, Yujun Xiong, Jiaying Zhou, Feizhen Wu, Li Hu, Dehui Wang

“…A novel circadian score was introduced to evaluate the circadian modification pattern of each patient and further validated in an independent cohort from the Gene Expression Omnibus (GEO) dataset. …”
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A positive deviance approach to understand gender relations and practices that support transformative adaptation: Insights from Kenya dairy households by Renee Bullock, Tanaya DuttaGupta, Philip Miriti

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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…The suggested deep learning algorithms' performance is evaluated using criteria such as precision, specificity, sensitivity, accuracy, and error rate. …”
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Antimicrobial Susceptibility Trends in <i>E. coli</i> Causing Pediatric Urinary Tract Infections in the United States by Simren Mahajan, Neena Kanwar, Gina M. Morgan, Rodrigo E. Mendes, Brian R. Lee, Dithi Banerjee, Rangaraj Selvarangan

“…Urinary tract infections (UTIs) are among the most common pediatric infections. This study evaluated the antimicrobial susceptibility patterns of 3511 uropathogenic <i>E. coli</i> (UPEC) isolated from pediatric patients in the United States from 2014 to 2023. …”
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A stream classification system to explore the physical habitat diversity and anthropogenic impacts in riverscapes of the eastern United States. by Ryan A McManamay, Matthew J Troia, Christopher R DeRolph, Arlene Olivero Sheldon, Analie R Barnett, Shih-Chieh Kao, Mark G Anderson

“…Additionally, we compare stream diversity to patterns of anthropogenic disturbances to evaluate associations between stream types and human disturbances, but also to prioritize rare stream types that may lack natural representation in the landscape. …”
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Customizability in Conversational Agents and Their Impact on Health Engagement (Stage 2) by Stephen C. Paul, Nina Bartmann, Jenna L. Clark

“…As such, agents should be designed to resemble ideal interaction patterns, for example, by resembling their users. In this registered report, we evaluated this paradigm by testing the impact of customization on similarity and reciprocity, which in turn were hypothesized to improve perceptions of the agent and compliance with the agent’s recommendations to complete a cognitive training exercise. …”
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Machine learning-based spatio-temporal assessment of land use/land cover change in Barishal district of Bangladesh between 1988 and 2024 by Walida Zaman, H Rainak Khan Real

“…The performance of four machine learning algorithms (Support Vector Machine, Classification and Regression Tree, K-Nearest Neighbor, and Random Forests) were evaluated to ensure classification reliability. Results indicate that Random Forest outperforms other classifiers, achieving an average accuracy of 99 % across all study periods, making it the most suitable model for classifying heterogeneous landscapes. …”
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The Value of Learning about Natural History in Biodiversity Markets. by Douglas J Bruggeman

“…I include uncertainty in habitat fragmentation effects by evaluating market transactions using five alternative dispersal models that were able to approximate observed patterns of occupancy and movement. …”
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Explainable artificial intelligence for predicting dengue outbreaks in Bangladesh using eco-climatic triggers by Md. Siddikur Rahman, Md. Abu Bokkor Shiddik

“…Climatic, socio-demographic, and landscape features were used to train these models; SHapley Additive Explanations (SHAP) values and LIME (Local Interpretable Model-agnostic Explanations) were used to interpret the results. …”
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Study on the Interaction Mechanism Between Urbanization and Ecological Resilience—The Case of Urban Agglomeration on the North Slope of Tianshan Mountain by Yanjun Tong, Tiange Shi, Shubao Zhang, Yunjie Cheng, Jiangyan Liang, Jun Lei

“…In this study, the interaction between urbanization and ecological resilience is investigated, taking the urban agglomeration on the north slope of Tianshan Mountain (UANST) as a study area and using the entropy value method to construct an urbanization evaluation system. Based on land use change data, an ecological resilience evaluation model is constructed using the InVSET model, the landscape pattern index, and the unit area value equivalent factor method. …”
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The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Finally, a comparison of the effectiveness of the four ecological networks is conducted using 12 landscape pattern metrics. The results indicate several key points. …”
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Analysis of Spatial and Temporal Changes and Driving Forces of Ecological Environment Quality in Tuojiang River Basin Based on RSEI Improved Modeling by ZHAO Xiaoyan, TAN Shucheng, ZHANG Su, LI Yongping, WU Han, WANG Chao

“…[Methods] Based on the Google Earth Engine platform, Landsat remote sensing images from 2000 to 2020 were selected to construct an ecological environment quality evaluation model with NDVI, WET, LST, NDBSI, and AI indices, and the coefficient of variation, one-way linear regression, and spatial autocorrelation analysis methods were used to analyze the spatial and temporal evolution pattern of ecological environment quality in the watershed, and to detect the driving force using the optimal parameter Geographic Detector Model(OPGD). …”
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Graph Neural Network Learning on the Pediatric Structural Connectome by Anand Srinivasan, Rajikha Raja, John O. Glass, Melissa M. Hudson, Noah D. Sabin, Kevin R. Krull, Wilburn E. Reddick

“…Architecture exploration experiments were conducted to evaluate the impact of network depth, pooling techniques, and skip connections on the ability of GNN models to capture connectomic patterns. …”
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Direct genetic transformation bypasses tumor-associated DNA methylation alterations by Sara Hetzel, Eran Hodis, Elena Torlai Triglia, Alexander Kovacsovics, Kathleen Steinmann, Andreas Gnirke, Meiying Cui, Daniel McQuaid, Raha Weigert, Georg Pohl, Mandar D. Muzumdar, Serge Leyvraz, Ulrich Keilholz, Marie-Laure Yaspo, Aviv Regev, Helene Kretzmer, Zachary D. Smith, Alexander Meissner

“…Results Here, we use extensive patient atlas data to define common features of the tumor DNA methylation landscape as they compare to healthy human cells and apply this benchmark to evaluate 21 engineered human and mouse models for their ability to reproduce these patterns. …”
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The impact of screen time and social media on youth self-harm behaviour and suicide: A protocol for a systematic reviews. by Kerri M Gillespie, Grace Branjerdporn, Sabine Woerwag Mehta, Jasmyn Glegg, Matthew Porter, Selena E Bartlett

“…Article selection, quality evaluation, and data extraction will be conducted independently by two reviewers. …”
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Integrating computational approaches to uncover β-lactamase-associated resistance in diarrheagenic Escherichia coli from pediatric patients by Taru Singh, Chandra Shekhar, Saurabh Singh, Shukla Das

“…Structural modeling, phylogenetic analysis, and molecular docking were used to evaluate evolutionary patterns and drug interactions with ceftriaxone and amoxicillin. β-lactamase enzymes in DEC strains exhibited varying thermal stability and were frequently co-produced. …”
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