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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Advancing sedimentation modeling in large reservoir systems: Insights from multi-scale process coupling and machine learning by Yuning Tan, Huaixiang Liu, Yongjun Lu, Zhili Wang, Wenjie Li

“…Our climate scenario simulations revealed uneven sedimentation patterns and projected declining sedimentation rates over the next 30 years. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. ResBNet demonstrated high accuracy in predicting relative droplet radius, Strouhal number, and optimized geometric ratios, while FEN offered computational efficiency and robust performance across a broad range of flow rates. …”
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Using OpenPrescribing.net to evaluate neighbourhood-level prescribing of inhalers for asthma and COPD by Thomas C. Richards, Alison Heppenstall, Rachel A. Oldroyd, Victoria Barr, Roger Beecham

“…We find inequalities in prescribing behaviour, with the most deprived neighbourhoods associated with higher rates of emergency or ’rescue’ inhaler prescribing - a pattern that was interrupted during the March 2020 lockdown. …”
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Quantitative assessment method for firefighting danger based on numerical simulation of forest fire spread in canyon wind fields. by Ao Wang, Chenghu Wang, Guiyun Gao, Ningyu Wu, Haiyan Su

“…Based on the numerical modeling data of forest fire behavior, it was found that the proportion of areas with high and perilous spreading rates in the study area was 16% and 54%, respectively. …”
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Impact behavior of recycled aggregate concrete modified with nano-silica and fiber by Xingguo Wang, Zhixuan Liu, Yonggui Wang, Xianggang Zhang, Maolin Jiang

“…The impact resistance of treated specimens was evaluated under different strain rates using the split Hopkinson pressure bar (SHPB) method. …”
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Multimodal Hidden Markov Models for Real-Time Human Proficiency Assessment in Industry 5.0: Integrating Physiological, Behavioral, and Subjective Metrics by Mowffq M. Alsanousi, Vittaldas V. Prabhu

“…A key advantage of the MHMM over black-box approaches is its interpretability by providing quantifiable transition probabilities that reveal learning rates, forgetting patterns, and contextual influences on proficiency dynamics. …”
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Herbivore functions in the hot-seat: Resilience of Acanthurus triostegus to marine heatwaves. by Taylor Souza, Jeroen Brijs, Leon Tran, Larry Crowder, Jacob L Johansen

“…Here we evaluate the consequences of thermal stress on the capacity of a common herbivorous coral reef fish (Acanthurus triostegus) to control finely filamentous matrices of Caulerpa sertularioides and C. verticillata algae in Hawai'i, by characterizing in-vivo changes in metabolic demands, diurnal foraging rates, activity patterns and individual condition in a laboratory setting during winter (24.0±0.1°C), summer (27.5±0.1°C), and at the peak of a representative marine heatwave, (31.0±0.1°C). …”
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Complex Common and Internal Iliac or Aortoiliac Aneurysms and Current Approach: Individualised Open-Endovascular or Combined Procedures by Thomas Kotsis, Louizos Alexander Louizos, Evangelos Pappas, Kassiani Theodoraki

“…We report 100% patency rate during 26.3 months of followup. Conclusion. …”
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Prevalence and antimicrobial resistance of bacterial meningitis in China from 2017 to 2021: a multicenter retrospective study by Chunyan Zhang, Zheng Li, Mengyuan Wang, Shifu Wang

“…A. baumannii showed a high resistance rate to cephalosporins and carbapenems but was sensitive to tigecycline and polymyxins. …”
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Ecological Implications of Germination Temperature on Native and Invasive Rumex Spp. by Michaela Jungová, Martina Kadlecová, Vilém Pavlů, Leona Leišová‐Svobodová, Pavel Svoboda, Zdenka Martinková

“…Contrary to expectations, R. alpinus exhibited the highest germination rate across all temperatures. In the second experiment, germination rates varied significantly, with a positive correlation between germination success and transition from Alpine to Czech localities. …”
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Study on Thermal Behavior and Safety Properties of Na₄Fe₃(PO₄)₂(P₂O₇) and NaNi_1/3Fe_1/3Mn<sub... by Ran Yu, Shiyang Liu, Xuehai Li, Bin Wei, Xiaochao Wu

“…Additionally, adiabatic thermal runaway tests were conducted using an accelerating rate calorimeter (ARC) to explore temperature–voltage evolution patterns and temperature rise rates. …”
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Changes in first-line cART regimens and short-term clinical outcome between 1996 and 2010 in The Netherlands. by Mikaela Smit, Colette Smit, Suzanne Geerlings, Luuk Gras, Kees Brinkman, Timothy B Hallett, Frank de Wolf, Athena Observational Cohort

“…<h4>Objectives</h4>Document progress in HIV-treatment in The Netherlands since 1996 by reviewing changing patterns of cART use and relating those to trends in patients' short-term clinical outcomes between 1996 and 2010.…”
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Williams Syndrome and Agreement: The Case for Spanish Speakers by Antònia Llull Febrer, Lluís Barceló-Coblijn, Elga Cremades

“…Additionally, error rates are low in both groups, suggesting that observed discrepancies might be due to individual variation rather than condition-specific deficits, even though the statistical power of the study is limited. …”
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The impact of remote work on mobilities in the UK by Kirsten Clarke

“…The COVID-19 pandemic has substantially increased remote and hybrid working rates, creating a large group of workers whose experiences differ from those in traditional workplace settings. …”
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Epidemiology and survival outcomes for liposarcoma patients in England: An observational cohort study using real world data by Jessie O. Oyinlola, Mounia Beloueche-Babari, Monika Frysz, Eleanor Yelland, Amy Walker, Rachael Williams, Robin L. Jones

“…Purpose: This real-world data study evaluates demographic and clinical characteristics and survival in patients with liposarcoma to inform our understanding of treatment patterns and associated outcomes in this rare cancer. …”
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Clustering Library Loan Books Using K-Means Clustering by Mawar Indah Tanjung, Sriani Sriani

“…This study aims to classify books based on borrowing patterns to provide insights into library collection management. …”
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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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