Breastfeeding and Intersectionality in the Deep South: Race, Class, Gender and Community Context in Coastal Mississippi by John P. Bartkowski, Katherine Klee, Xiaohe Xu, Jacinda B. Roach, Shakeizia (Kezi) Jones

“…We use insights from this theory to examine breastfeeding patterns reported by women living on the Mississippi Gulf Coast. …”
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Informational Approaches in Modelling Social and Economic Relations: Study on Migration and Access to Services in the European Union by Florentina-Loredana Dragomir-Constantin, Camelia Madalina Beldiman, Monica Laura Zlati

“…The research is based on the correlations between gross value added (GVA), gross fixed capital formation (GFCF), greenhouse gas emissions (GHGE), health expenditure (SHA11), and migration rates (MIGR). The applied methodology includes attribute distribution analysis, identification of hidden patterns through clustering algorithms (K-Means and Expectation-Maximisation) and training of classifiers using regression decision trees with linear leaf models (M5P) corresponding to interdependent data processing and integration modules, exploratory analysis module, machine learning and decision-making modules, oriented to support public policies through explainable scenarios and predictive-evaluative structures. …”
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Clinical evolution and medical resource utilization in adult patients with respiratory syncytial virus infection at a community hospital in Argentina. by Agustin Bengolea, Juan I Ruiz, Celina G Vega, Matias Manzotti, Nadia Zuccarino, Lucila Rey-Ares

“…Cardiovascular comorbidities might be associated with increased severity and intensive care unit admissions. The high rate of antibiotic use is noteworthy and warrants further investigation to understand prescribing patterns and optimize antimicrobial stewardship. …”
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A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Our results demonstrate significantly improved axon detection rates across both state-of-the-art and traditional methodologies. …”
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EEG-Based Attention Classification for Enhanced Learning Experience by Madiha Khalid Syed, Hong Wang, Awais Ahmad Siddiqi, Shahnawaz Qureshi, Mohamed Amin Gouda

“…This adaptive approach ensures a more effective learning experience by maintaining optimal cognitive engagement, resulting in improved learning rates, reduced stress, and increased overall learning efficiency. …”
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Magma Differentiation, Contamination/Mixing and Eruption Modulated by Glacial Load—The Volcanic Complex of The Pleiades, Antarctica by Samuele Agostini, Noemi Leone, John L. Smellie, Sergio Rocchi

“…Mafic samples are characterized by multi‐elemental patterns typical of OIB magmas, moderately low 87Sr/86Sr (0.7037) and high 143Nd/144Nd (0.51284), with a clear within‐plate affinity, indicating a subcontinental lithospheric source. …”
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Mechanistic Insights Into the Tumor‐Driving and Diagnostic Roles of KCTD Family Genes in Ovarian Cancer: An Integrated In Silico and In Vitro Analysis by Ling Zhang, Chong Cheng, Bin Tang

“…ABSTRACT Background Ovarian cancer (OC) remains one of the most lethal gynecological malignancies, characterized by late‐stage diagnosis and high recurrence rates. Despite advances in treatment, the overall survival rate for OC patients remains low due to the lack of reliable biomarkers for early detection and prognosis. …”
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Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

“…A neural network classifier analyzes this data to identify complex patterns and behaviors associated with DDoS attacks. …”
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Insights of the asynchronous strain evolution of lean coal in uniaxial compression creep by Tingting Cai, Jia Liu, Zengchao Feng, Kai Wang, Yongxing Shen, Yulong Jiang, Bichuan Zhang

“…Despite the observed asynchrony, both the axial and radial strains exhibit similar patterns and can well be described by the same creep model, but with different parameters, under identical stress levels. …”
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Risk factors and public health interventions associated with adolescent pregnancy prevention among females aged 10–19 years in Kenya: a scoping review protocol by Abdu Mohiddin, Kimbley Asaso Omwodo, Danielle Denwood, Augustine Gitonga

“…The analysis will involve thematic data extraction and charting to highlight patterns in adolescent pregnancy risk factors, intervention outcomes and existing gaps.Ethics and dissemination No ethical approval is needed. …”
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Association between physicians' interaction with pharmaceutical companies and their clinical practices: A systematic review and meta-analysis. by Hneine Brax, Racha Fadlallah, Lina Al-Khaled, Lara A Kahale, Hala Nas, Fadi El-Jardali, Elie A Akl

“…<h4>Conclusion</h4>There is moderate quality evidence that physicians' interactions with pharmaceutical companies are associated with their prescribing patterns and quality.…”
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Impact of plant-based diets and associations with health, lifestyle and healthcare utilisation: a population-based survey study by Natalia Echiburu, Maria Antonieta Also-Fontanet, Antoni Sisó-Almirall, Luis González-de Paz

“…Design: We estimated vegetarian and vegan individuals’ national and regional prevalence and analysed their socio-demographic characteristics and weekly dietary intake patterns. Individuals with a plant-based dietary pattern were matched to a control group (1:4) with similar socio-demographic characteristics. …”
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Radiologic Predictors of Disease Recurrence in Nasopharyngeal Carcinoma: A Retrospective Evaluation of MRI and ¹⁸F-FDG-PET/CT Parameters by Banu Karaalioğlu, Tansel Çakır, Ömer Yazıcı, Mustafa S. Tekin, Ebru Karcı

“…Local tumor features, nodal status, and response patterns were evaluated using MRI and PET/CT-derived metrics: SUVmax, SUVmean, SUVpeak, MTV, and TLG. …”
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Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

“…By integrating satellite cache states, user cache states, and multi-modal data attributes (including imagery, metadata, and temporal request patterns) into a unified Markov decision process (MDP), our approach pioneers the application of the multi-actor-attention-critic with parameter sharing (MAPPO) algorithm to ISTNs push tasks. …”
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Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz by Cong Wang, Ke Che, Guanglei Zhang, Hao Yu, Junsong Wang

“…Redundancy analysis demonstrated Anhui samples exhibited significantly higher antioxidant activity (DPPH and hydroxyl radical scavenging rates) than other regions, strongly correlating with stable low-temperature environments (annual mean temperature) and precipitation patterns. …”
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Impact of clay coating on sandstone reservoir quality: A multiphase-field investigation by numerical simulation by Akash KUMAR, Michael SPÄTH, Nishant PRAJAPATI, Benjamin BUSCH, Daniel SCHNEIDER, Christoph HILGERS, Britta NESTLER

“…Such parameters include the growth of exposed pyramidal faces, lateral encasement, coating coverage, and coating pattern, etc. The coating pattern has a remarkable impact on cementation, with the layered coatings corresponding to fast cement growth rates. …”
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Site‐Specific Impacts of Urbanisation on Annual Survival of a Forest Bird by Boglárka Bukor, Brett K. Sandercock, Karl L. Evans, Ivett Pipoly, Krisztina Sándor, András Liker, Gábor Seress

“…Survival probabilities decreased with bird age at both urban sites in most years, but such patterns were not detected at forest sites. Our results demonstrate that the impacts of aging on avian survival rates can diverge between urban and forest habitats, and that the demographic factors regulating urban populations can vary between locations. …”
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Intravesical BCG: A Double-Edged Sword? The Untold Story of Infection Risks by Orçun Barkay, Ercüment Keskin

“…UTIs were classified based on susceptibility patterns, and statistical analyses were performed to determine associations between clinical variables and UTI risk. …”
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Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory by E. V. Shokhirev, P. P. Volodkin, V. A. Lazarev, A. V. Konstantinov

“…Scientific novelty in the form of development of autoregressive neural network model of accident rate forecasting to identify dependencies and patterns of data, which can improve the quality of accident rate forecasting, considering also the possibility of processing a large amount of data with information about the factors affecting the accident rate. …”
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Genetic diversity and antifungal resistance in Candida albicans from VVC cases in Indian women by Binaya Krushna Sahu, Utkalika Mallick, Rashmi Hegde, Jyotirmayee Turuk, Mahesh Chandra Sahu, Sujogya Kumar Panda

“…Aim This study investigates the genetic diversity and antifungal resistance patterns of C. albicans isolated from VVC patients. …”
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