DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

“…Assessing the severity of gait impairment in Parkinson’s disease (PD) using the Movement Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is typically performed by clinical experts, but this process is time-consuming, subjective, and costly. …”
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Whole-Genome Sequence-Based Diversity of <i>Mycobacterium tuberculosis</i> Strains Isolated from a Central Western Region of Mexico by Andrea Monserrat Negrete-Paz, Gerardo Vázquez-Marrufo, Adrián Rodríguez-Carlos, Bruno Rivas-Santiago, Ma. Soledad Vázquez-Garcidueñas

“…Tuberculosis remains a significant health issue in Mexico, which has one of the highest incidence rates in the Americas. This study aimed to analyze the circulating sublineages, spoligotypes, drug resistance, and transmission patterns of <i>Mycobacterium tuberculosis</i> in Mexico’s Central Western region using whole-genome sequencing. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Evaluation of the Effects of Anesthetics and Surgery on Sleep Quality in Patients Undergoing Posterior Spinal Instrumentation Surgery: A Prospective Randomised Clinical Trial by Selcan Akesen, Gökay Eken, Yücel Bilgin, Saltuk Buğra Güler, Elifgül Ulutaş

“…Introduction: The aim of the study is to evaluate the impact of the anesthesia methods and surgical procedure on the sleep patterns and sleep quality of patients undergoing posterior spinal instrumentation, using the Pittsburgh Insomnia Rating Scale-20 (PIRS-20). …”
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AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson’s disease for the development of neuronal fingerprints using artificial... by Martijn Beudel, Rick Schuurman, Rob M A de Bie, Deborah Hubers, Mariëlle J Stam, Martijn G J de Neeling, Bart J Keulen, Arthur W G Buijink, Bernadette C M van Wijk

“…The objective of the AI-DBS study is to identify patient-specific patterns of neuronal activity that are associated with the severity of motor symptoms of PD. …”
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Prevalence and Antibiotic Resistance of Bacteria Isolated from Cerebrospinal Fluid of Neurosurgical Patients in Malang, Indonesia by Tommy Alfandy NAZWAR, Bagus Ramanto SAPUTRA, Dewi RETNONINGSIH, Farhad BAL'AFIF, Donny Wisnu WARDHANA

“…Conclusions: The sensitivity rates of ceftriaxone and meropenem were found to be 0% and 100%, respectively. …”
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Sex determination and stature estimation using logistic and linear regression models: A population-specific study of tibia and Fibula in Northeastern Thais by Suthat Duangchit, Chanasorn Poodendaen, Phetcharat Phetnui, Pornpimol Tasu, Worrawit Boonthai, Nareelak Tangsrisakda, Sitthichai Iamsaard

“…Results: For sex determination, the results showed that univariate logistic regression models achieved the accuracy rates up to 87.50 %, with maximum proximal epiphyseal breadth of the tibia demonstrating highest discriminatory power. …”
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Clinical and survival differences between second primary and first primary nasopharyngeal carcinoma in a retrospective study by Xin Huang, Ying Kong, Tianyu Wu, Zhen Meng, Min Kang

“…Therapeutically, 2nd NPC patients showed significantly lower rates of curative-intent treatment (75.6% vs. 91.3%, p = 0.010), lower rates of good treatment tolerance (86.7% vs. 96.1%, p = 0.068), reduced chemotherapy utilization (73.3% vs. 89.3%, p = 0.014), and less frequent cisplatin use during concurrent chemotherapy (66.7% vs. 84.4%, p = 0.034). …”
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Prevalence and associated factors of adherence to antihypertensive medication: a nationwide cross-sectional study by Muhammad Arshed, Mehwish Kiran, Muhammad Farooq Umer, Jamil Adnan Samkari, Syed Mehmood ul hassan, Shafqat Qamer, Ali Hassan Gillani, Sajid Hameed, Waseela Ashraf, Hasan Mujtaba, Muhammad Naseem Khan

“…Conclusion These findings highlight the complex interplay of demographics, medication patterns, and economic factors in medication adherence with very low adherence rates in Pakistan. …”
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A tale of two heatwaves: variable daily growth and a broad diet enable neustonic larval cabezon to thrive during warm oceanic conditions by Megan N. Wilson, Megan N. Wilson, Richard D. Brodeur, Toby D. Auth, G. Curtis Roegner, Cheryl A. Morgan, Samantha M. Zeman, Su Sponaugle

“…Findings include the first published measurement of larval cabezon daily growth rates. Mean growth rates were higher during MHWs, suggesting that elevated temperatures did not pose a major growth or survival challenge. …”
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Global burden of atrial fibrillation and atrial flutter due to high alcohol use from 1990 to 2021: estimates from the global burden of disease study 2021 by Xiaoming Wang, Changzheng Chen, Zhihua Yang, Yu Chen, Jun Fan, Renchun Tang, Yankun Shi, Lixia Yang

“…Methods We extracted GBD 2021 estimates on deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) for AF/AFL due to high alcohol use across 204 countries. …”
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Wild Ungulate Prey Size and Feeding Group Demographic Structure Affect Interactions and Per Capita Food Intake of African Pride Lions in East African Maasai Steppe by Thobias Oddo Tomeka, Bernard M. Kissui, Ifura Godfrey Ukio, Frank R. Mushi, Rudolf F. Mremi, Nathan J. Roberts, Marcel Holyoak, Guangshun Jiang

“…However, subadults increased their per capita intake rates when feeding together with both cubs and adult females. …”
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Toll-like receptor 4 promotes proliferation and apoptosis resistance in human papillomavirus–related cervical cancer cells through the Toll-like receptor 4/nuclear factor-κB pathwa... by Ninghong Jiang, Feng Xie, Qisang Guo, Ming-Qing Li, Jingjing Xiao, Long Sui

“…Proliferation of HeLa and Caski cells was promoted in lipopolysaccharide-stimulated groups but suppressed in short hairpin RNA–transfected groups. Apoptosis rates were lower in lipopolysaccharide-stimulated groups relative to short hairpin RNA–transfected groups. …”
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Global, regional, and national burden of sudden infant death syndrome and the impact of COVID-19: a trend and health inequality analysis based on the global burden of disease study... by Xinkuo Zheng, Meishen Liu, Xingwei Zhao, Xiuqi Xu, Wei Tao, Ling Wu, Weijia Sun, Yuhang Dong, Yalin Xi

“…Age-standardized DALY rates (ASDR; per 100,000 population) with 95% uncertainty intervals (UIs) were calculated for 204 countries and territories, stratified by age, location, and socio-demographic index (SDI).ResultsIn 2021, the ASDR of SIDS accounted for 44.16 (95% UI: 25.70–59.26) per 100,000 population globally, which was a 58.97% decrease from 1990. …”
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Spectrum and epidemiology of rare diseases in a Chinese natural population of 14.31 million residents, 2012–2023 by Ming-Jia Li, Qi Li, Miao-Miao Zhao, Hanna Kim, Ruo-Qi Feng, Mo-Ning Guo, Jian-Peng heng, Jin-Kui Yang, Chang Liu

“…Age-standardized incidence rates (ASIR) were calculated per 100,000 person-years with 95% confidence intervals. …”
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Six decades of global crop yield increase and cropland expansion from 1960 to 2020 by Karina Winkler, Richard Fuchs, Mark Rounsevell, Martin Herold

“…Brazil, Indonesia, Thailand, Colombia, and Malaysia), had both the highest crop yield increases and cropland expansion rates. By analysing the relationship of annual crop yield and cropland area changes, we see potential rebound effects of yield increases in tropical lowlands of low- to middle-income countries. …”
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Influence of model selection on optimal control of traffic for emissions minimisation by Khatun E Zannat, Judith Y T Wang, David P Watling

“…However, at a microscopic level (e.g. acceleration, deceleration rates, and deviations from the mean), pronounced differences became evident. …”
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