A Novel Carbon Fiber Composite Material for the Simulation of Damage Evolution in Thick Aquifers by Bozhi Zhao, Xing Gao, Weibing Zhu, Jiaxing Ding, Pengjun Gao

“…This study found that as the carbon fiber content increased, the evolution patterns of the electrical resistance change rate and the damage coefficient of the similar material tended to coincide. …”
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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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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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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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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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Epidemiological Characteristics of Human Rabies in Urban and Suburban Districts in Shanghai, 2006–2021 by Zhi Li, Jiayu Hu, Zhuoying Huang, Xiang Guo, Jia Ren, Jing Qiu, Xiaoying Ma, Han Yan, Fang Huang, Xiaodong Sun

“…The body parts most frequently injured by dogs were the hands (48.84%). The fatality rate was 100%. Most cases (86.05%) were not treated after exposure. …”
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Intelligent Prediction of Lost Circulation and Gas Invasion in Cementing Operations Based on ACO-SWXGBoost by Wei Ji, Mengyuan Xiong, Shuangjin Zheng

“…The model extracts both raw features and slope-based variations of key parameters—flow rate, pressure, and density—to enhance representation, incorporates a sliding window and time decay mechanism to capture dynamic patterns, and leverages ACO to optimize hyperparameters for improved predictive performance. …”
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Statistical Analysis of a Generalized Variant of the Weibull Model Under Unified Hybrid Censoring with Applications to Cancer Data by Mazen Nassar, Refah Alotaibi, Ahmed Elshahhat

“…Characterized by one scale parameter and two shape parameters, the proposed model offers enhanced flexibility for modeling diverse lifetime data patterns and hazard rate behaviors. Notably, its hazard rate function can exhibit five distinct shapes, including upside-down bathtub and bathtub shapes. …”
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Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study. by Darren M Lipnicki, John D Crawford, Rajib Dutta, Anbupalam Thalamuthu, Nicole A Kochan, Gavin Andrews, M Fernanda Lima-Costa, Erico Castro-Costa, Carol Brayne, Fiona E Matthews, Blossom C M Stephan, Richard B Lipton, Mindy J Katz, Karen Ritchie, Jacqueline Scali, Marie-Laure Ancelin, Nikolaos Scarmeas, Mary Yannakoulia, Efthimios Dardiotis, Linda C W Lam, Candy H Y Wong, Ada W T Fung, Antonio Guaita, Roberta Vaccaro, Annalisa Davin, Ki Woong Kim, Ji Won Han, Tae Hui Kim, Kaarin J Anstey, Nicolas Cherbuin, Peter Butterworth, Marcia Scazufca, Shuzo Kumagai, Sanmei Chen, Kenji Narazaki, Tze Pin Ng, Qi Gao, Simone Reppermund, Henry Brodaty, Antonio Lobo, Raúl Lopez-Anton, Javier Santabárbara, Perminder S Sachdev, Cohort Studies of Memory in an International Consortium (COSMIC)

“…<h4>Background</h4>The prevalence of dementia varies around the world, potentially contributed to by international differences in rates of age-related cognitive decline. Our primary goal was to investigate how rates of age-related decline in cognitive test performance varied among international cohort studies of cognitive aging. …”
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An Epidemiological and Multidrug Resistance Study for E. coli Isolated from Urinary Tract Infection (Three Years of Study) by Mahde S. Assafi, Fawwaz F. Ali, Reem Fouad Polis, Nisreen Jawad Sabaly, Sozan Muhsin Qarani

“…The uropathogenic E. coli rate was higher, statistically not significant, in females (21.4%) than males (18.5%) (P=0.4946). …”
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Mapping the global burden of early-onset Parkinson’s disease: socioeconomic and regional inequalities from the Global Burden of Disease Study 2021 by Xinyu Li, Jingpei Zhou, Wanqing Peng, Renhui Zhao, Quan Sun, Zhijuan Liu, Yanning Liu, Ziyuan Li, Ziting Huang, Yihui Zhang, Shuqiao Zhang, Xubo Hong, Zhenhu Chen, Jun Lyu, Jun Lyu, Nanbu Wang

“…Countries with higher SDI levels, particularly China, Bolivia, and Peru, bore the greatest burden. Socioeconomic patterns suggested high-middle SDI regions experienced the highest rates of incidence and prevalence, whereas middle-SDI regions showed the highest rates of disability and mortality. …”
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Machine learning-optimized dual-band wearable antenna for real-time remote patient monitoring in biomedical IoT systems by Umar Musa, Amor Smida, Muhammad S. Yahya, Mohamed I. Waly, Jun Jiat Tiang, Nazih Khaddaj Mallat, Surajo Muhammad, Abubakar Salisu

“…The heart rate ranged from 65 to 99 BPM, and the body temperature ranged from 30 to 37 °C. …”
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Cause-specific mortality in individuals with and without mental disorders according to socioeconomic position: a population-based cohort studyResearch in context by Danni Chen, Linda Ejlskov, Julie Werenberg Dreier, Natalie C. Momen, Lisbeth Mølgaard Laustsen, Henrik Toft Sørensen, Jayati Das-Munshi, Oleguer Plana-Ripoll

“…Summary: Background: Mental disorders are associated with elevated cause-specific mortality rates; however, the role of socioeconomic position (SEP) on these associations remains unclear. …”
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Multiple-Fault Diagnosis Method Based on Multiscale Feature Extraction and MSVM_PPA by Min Zhang, Zhenyu Cai, Wenming Cheng

“…MSVM method with PPA parameters optimization will classify the fault patterns. The results of a case study of the rolling bearings faults data from Case Western Reserve University show that (1) the proposed intelligent method (MFE_PPA_MSVM) improves the classification recognition rate; (2) the accuracy will decline when the number of fault patterns increases; (3) prediction accuracy can be the best when the training set size is increased to 70% of the total sample set. …”
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