Coherence and statistical insights for low electron count regimes in transmission electron microscopy by Joohyun Lee, Ji-Hwan Kwon, Sooheyong Lee

“…Low electron count rates, with a mean of approximately 0.017 electrons per pixel, reveal discrete electron events dominated by shot noise. …”
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Mathematical Models to Compare the Pharmacokinetics of Methadone, Buprenorphine, Tramadol, and Tapentadol by Prathvi Shenoy, Joslin D’Souza, Mahadev Rao, Shreesha Chokkadi, Naveen Salins

“…This data is significant for understanding the drug’s clearance rate and its potential duration of action. By comparing the distribution patterns and elimination rates of methadone, buprenorphine, tramadol, and tapentadol, the study provides insights into the differences between these drugs in terms of their pharmacokinetic properties. …”
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Risk factors and prevention of falls in children under 3 years: a systematic review by Tetiana Yermakova

“…Investigating the mechanisms of falls and their possible outcomes is a promising and crucial area for reducing childhood injury rates. The aim of this systematic review is to identify key patterns and factors associated with falls in young children, as well as to propose preventive strategies to minimize the risk of injuries. …”
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Regional changes in the prevalence of Parkinson’s disease over a ten-year period in the state of Texas by Sean G. Young, Kathryn Elwell, Christopher R. Watts

“…Males had a higher prevalence rate in both years, though both sexes doubled their prevalence over the ten-year period. …”
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Road ecology of a Chihuahuan Desert snake community: size-based mortality sets the stage for evolutionary change in a widespread pitviper by Daniel F. Hughes

“…Snakes are significant predators in many ecosystems, but high rates of road mortality threaten to diminish their ecological contributions. …”
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From Decline to Rebound: Analyzing the Dynamics of Fertility Trends in Sleman Regency Amid Global Shocks, 2018-2022 by Muhammad Arif Fahrudin Alfana

“…This quantitative study aims to examine the trends of live birth rates in Sleman Regency over a five-year period (2018-2022). …”
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The past, present, and future evolution of Aurora Subglacial Basin’s subglacial drainage system by Anna-Mireilla Hayden, Tyler Pelle, Christine F. Dow

“…Since subglacial drainage accounts for up to 70% of ice shelf melt, our results imply that subglacial hydrology could trigger higher rates of mass loss than previously suggested.…”
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Time series analysis of construction accidents in Saudi Arabia with consideration of COVID19 lockdown effects by Badr T. Alsulami

“…The analysis identifies recurring seasonal patterns, long-term trends, and quantifies the impact of the COVID-19 lockdown on accident rates. …”
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Pursuit of entertainment or self-expression? Research on adventure tourism by Mustafa Gülmez, Ayşe Nur Soysal, Naci Büyükdağ, Ayşegül Acar, Burak Türten, Cenk Murat Koçoğlu

“…The study further found gender-specific differences, with males showing higher explained variance rates in self-image congruity and WOM. Experienced and male tourists gravitated more towards experiencing nature, whereas joy was more influential among inexperienced and female tourists. …”
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Using the Active Faults of Eurasia Database for solving tectonic problems by D. M. Bachmanov, E. A. Zelenin, A. I. Kozhurin, V. G. Trifonov

“…This new database contains more than 30000 objects that are geographically linked, equipped with attributes of the kinematic type, estimated movement rates and activity confidence ranks. As an exam‐ ple, we consider processing of the data on several tectonic regions of the Alpine‐Himalayan mobile belt and construction of rose‐diagrams of faults for a comparative analysis of their Late Cenozoic kinematics. …”
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Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells by Kajal Charan, Sandip Kar

“…Herein, we perform a computational modeling study to demonstrate that correlated fluctuations of the inherited transcription rates during cell cycle progression and their random resetting in mitosis are sufficient to account for the experimentally observed cell cycle duration correlation patterns for cell lineage pairs. …”
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Examining Deep Learning Techniques for Ethical Artificial Intelligence: Cleansing Malicious Comments from Users by Ji Woong Yoo, Kyoung Jun Lee, Arum Park

“…Our findings demonstrate that deep learning models surpass CleanBot in accuracy and block rates for handling negative user comments, including malicious ones, enabling organizations to effectively manage such comments in online communities using AI-based methods. …”
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Ischemic heart disease burden attributable to inadequate omega-3 fatty acid intake in Chinese adults, 1990–2021: an Age-Period-Cohort analysis of the Global Burden of Disease study... by Lin Luo, Lin Luo

“…Although both death rates and DALY rates have decreased, population aging continues to drive an increase in the absolute disease burden. …”
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Firearms-related injury and sex: a comparative National Trauma Database (NTDB) Study by Shahin Mohseni, Babak Sarani, Maximilian Peter Forssten, James A Zebley, Catherine Zwemer, Susan Kartiko, Joy Dowden Hughes

“…Background Existing study findings on firearms-related injury patterns are largely skewed towards males, who comprise the majority of this injury population. …”
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Retrospective Study 2019–2021 of Antimicrobial Resistance in <i>Escherichia coli</i>, <i>Klebsiella pneumoniae</i>, and <i>Proteus mirabilis</i> in Mexicali, Mexico by Dolores A. Márquez-Salazar, Ricardo Delgadillo-Valles, Gerson N. Hernández-Acevedo, Edwin Barrios-Villa, Raquel Muñiz-Salazar, Gilberto López-Valencia, Rafael Martínez-Miranda, Jonathan Arauz-Cabrera

“…The aim of this study was to investigate AMR rates in clinical isolates of <i>Escherichia coli</i>, <i>Klebsiella pneumoniae</i>, and <i>Proteus mirabilis</i> obtained from community-acquired infections in Mexicali between 2019 and 2021. …”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…It also proposes the Solar FaultNet‐a novel deep learning‐based approach that significantly improves fault detection performance in solar PV systems and integrates the model with state‐of‐the‐art ML techniques like CNN and LSTM to capture inherent complex patterns and interdependencies of fault data. Besides, the proposed model outperforms conventional machine‐learning algorithms and state‐of‐the‐art deep‐ learning models for better performance by yielding higher accuracy, precision, recall, F1‐score, and low error rate on various fault types such as PV array faults, inverter faults, grid synchronization faults, and environmental faults. …”
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Effect of water-saving irrigation on the seasonal emission of CH₄ from paddy field by PENG Shi-zhang, LI Dao-xi, JIAO Xi-yun, HE Yan, YU Jin-yuan

“…There is no statistically significant difference on the mean emission rates of CH₄ between two kinds of irrigation patterns during the ponding to the peak tillering stage of rice (0.05&lt;P=0.87); while CH₄ emission rate from PFCI is significantly lower than that from PFFI during the later tillering to ripening stage of rice (0.00=P&lt;0.05). …”
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GreenNav: Spatiotemporal Prediction of CO₂ Emissions in Paris Road Traffic Using a Hybrid CNN-LSTM Model by Youssef Mekouar, Imad Saleh, Mohammed Karim

“…In a global context where reducing the carbon footprint has become an urgent necessity, this article presents a hybrid CNN-LSTM prediction model to estimate CO₂ emission rates of Paris road traffic using spatio-temporal data. …”
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Assessment of Larsen C Ice Shelf stability: insights from surface and basal fracture by Qian Li, Zemin Wang, Jiachun An, Mingliang Liu, Pei Jiang, Zhuoya Shi

“…The LIS surface fracture (surface crevasses and depressions) distribution was linked to strain rates and maximum buttressing. Basal melting predominantly influences basal fracture formation (basal crevasses), with the penetration rate increasing in the direction of ice flow. …”
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Deep learning based predictive models for real time accident prevention in autonomous vehicle networks by Ahmed Almutairi, Abdullah Faiz Al Asmari, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

“…These studies evaluate key metrics such as the accuracy of predictions, the response time, the reduction in accident rate, the efficiency of decision-making, and the resilience to false data. …”
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