Who underreports smoking on birth records: a Monte Carlo predictive model with validation. by Thomas G Land, Anna S Landau, Susan E Manning, Jane K Purtill, Kate Pickett, Lauren Wakschlag, Vanja M Dukic

“…However, little is known about which populations have higher rates of underreporting. Availability of more accurate measures of smoking during pregnancy could greatly enhance the usefulness of existing studies on the effects of maternal smoking offspring, especially in those populations where underreporting may lead to underestimation of the impact of smoking during pregnancy.…”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. The algorithm’s adaptability to various biomedical data patterns enables more effective real-time monitoring and decision-making in IoT-based healthcare environments. …”
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Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter. by Wasim Abbas, Sieun Lee, Sangil Kim

“…The implications of our findings suggest a notable shift in transmission and recovery rates, starting in 2015.<h4>Discussion</h4>The model successfully predicted the peak and magnitude of HFMD outbreaks occurring between June and December, closely matching the observed epidemic patterns. …”
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Regional Pathways to Internationalization: The Role of Erasmus+ in European HEIs by Eleni Georgoudaki, Spyridon Stavropoulos, Dimitris Skuras

“…Employing hotspot analysis and a two-level random intercept model, this research analyses spatial patterns and the influences of regional characteristics and institutional variables on Erasmus mobility rates. …”
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A Comprehensive Assessment of Ayurvedic Patient Care Services in a Modern Medicine Public Tertiary Care Hospital by Renuka Munshi, Santosh Kadam

“…Over five years patient retention rates exhibited a gradual increase signifying a higher level of patient satisfaction and loyalty towards Ayurvedic treatments. …”
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An Examination of Water‐Related Melt Processes in Arctic Snow on Tundra and Sea‐Ice by Anika Pinzner, Matthew Sturm, Jennifer S. Delamere, Andrew R. Mahoney

“…In both years meltout dates varied by up to 25 days between sites, and more than 20 days within sites, with melt rates at locations only meters apart differing by up to a factor of seven. …”
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Modeling Riding and Stopping Behaviors at Motorcycle Box Intersections: A Case Study in Chiang Mai City, Thailand by Wachira Wichitphongsa, Nopadon Kronprasert, Moe Sandi Zaw, Pongthep Pisetsit, Thaned Satiennam

“…This research aims to evaluate the traffic performance of motorcycle boxes with respect to motorcycle departure times, headway intervals, lane-filtering rates, and vehicle movement patterns at 12 signalized urban intersections in Chiang Mai, Thailand. …”
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Evaluation of urinary tract infection agents in intensive care unit patients and monitoring of antimicrobial profile in Gram-negative bacteria by Nazife Akman, Pelin Özmen

“…Due to high resistance rates, the use of carbapenems and quinolones should be avoided in the treatment of A. baumannii. …”
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Modeling nitric oxide diffusion and plasticity modulation in cerebellar learning by Alessandra Maria Trapani, Carlo Andrea Sartori, Benedetta Gambosi, Alessandra Pedrocchi, Alberto Antonietti

“…The results demonstrate that NO diffusion significantly affects synaptic plasticity, dynamically adjusting learning rates based on synaptic activity patterns. This metaplasticity mechanism enhances the cerebellum's capacity to prioritize relevant inputs and mitigate learning interference, selectively modulating synaptic efficacy. …”
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An approach to using stranding data to monitor cetacean population trends and guide conservation strategies by Rachel L. Lennon, Rosie S. Williams, Kathryn J. Allan, Mariel T.I. ten Doeschate, Nicholas J. Davison, Simon A. Babayan, Andrew C. Brownlow

“…Species were clustered into broad ecological groups - baleen whales, short-beaked common dolphins, deep divers, harbour porpoises and pelagic dolphins - for spatiotemporal analysis of stranding patterns. All groups showed increases in annual stranding rates over the study period, with common dolphins and baleen whales exhibiting exponential increases, suggesting these species may be facing heightened pressures. …”
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Investigating antibiotic use in Gaza Strip hospitals: A retrospective cross-sectional analysis by Hala ZI Alagha, Maha Jebreel Al Telbani

“… Introduction: Rates of antimicrobial resistance in the Gaza Strip are rising while regulations on antibiotics use are weakly implemented. …”
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Integrated Platform for Bio-Image Processing and Identification of Cervical Cancer by Larisa-Dalina LAZĂR, Diogen BABUC, Todor IVAŞCU

“…The integration of artificial intelligence in medical imaging can contribute to early detection and contribute to reduction of mortality rates associated with this disease. A future direction is to explore the applications of Vision Transformers, which have demonstrated excellent performance in capturing complex patterns in image data, to further improve data preprocessing and classification accuracy. …”
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Mortality trends in Kazakhstan: insights from a million of deaths from 2014 to 2022 by Temirgali Aimyshev, Gulnur Zhakhina, Sauran Yerdessov, Ruslan Akhmedullin, Dinara Galiyeva, Kuanysh Yergaliyev, Antonio Sarria-Santamera, Yuliya Semenova, Abduzhappar Gaipov

“…COVID-19 significantly disrupted mortality patterns in 2020–2021. Mortality rates were consistently higher in males across most age groups, with a sharp increase after age 55, while “other disorders of the brain” emerged as a leading cause of premature mortality. …”
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Examining changes in social care referrals during the 2021 Winter Storm Uri in the Unite Texas network by Zackery White, Amanda Terry, Gillian Feldmeth, Alyssa Altstaedter, Halima Ahmadi-Montecalvo

“…Following the storm, case rates returned to pre-storm levels, with increased case resolution and reduced time to case closure. …”
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Prevalence and factors associated with Babesia bigemina infection in Crioula Lageana cattle breed by Mariana da Silva Casa, Julio de Mattos Vettori, Ketriane Mota de Souza, Paulo Ricardo Benetti Todeschini, Luiz Cláudio Miletti, Carla Ivane Ganz Vogel, André Luís Ferreira Lima, Joandes Henrique Fonteque

“…Males showed significantly higher infection rates (79%; 49/62) compared to females (55%; 137/249; OR=3.36, p<0.001). …”
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Fertility differences across immigrant generations in the United Kingdom by Jiseon Baek, Hill Kulu, Sarah Christison, Francesca Fiori

“…OBJECTIVE: This study examines the first-, second-, and third-birth rates of three migrant generation groups in the United Kingdom – 1.5G, 2G, and 2.5G. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What&#x2019;s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…Then, crime forecasting models are extracted for each area, to monitor and predict how crime rates evolve over time within each partition. However, traditional spatial partitioning approaches, which divide cities into predefined police districts based on geographic and operational considerations, often fail to account for variations in crime patterns. …”
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"What happens when you get corona?": Children's questions and parental responses about the COVID-19 pandemic. by Graciela Trujillo Hernández, David Menendez, Seung Heon Yoo, Rebecca E Klapper, Maria H Schapfel, Kailee A Sowers, Victoria E Welch, Karl S Rosengren

“…Meanwhile, parents during the second peak of infection and death rates were more focused on responding to their children's questions with information about the virus. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…The high accuracy and low false positive rates enable utilities to recover unbilled revenue and reduce inspection costs, amplifying savings compared to raw data or traditional approaches. …”
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Importance of hospital-specific antibiotic policy for ensuring maternal quality of care in India: A narrative review by Arijit Banerjee, Jhuma Biswas

“…Implementing hospital-specific antibiotic policies effectively reduces infection rates and improves maternal-neonatal outcomes through standardized regimens prioritizing narrow-spectrum antibiotics and utilizing local antibiograms. …”
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