Real-Time Run-Off-Road Risk Prediction Based on Deep Learning Sequence Forecasting Approach by Yunteng Chen, Lijun Wei, Qiong Bao, Huansong Zhang

“…Current driving risk prediction methods typically establish a mapping between driving features and risk statuses. …”
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ChatGPT and oral cancer: a study on informational reliability by Mesude Çi̇ti̇r

“…Abstract Background Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. …”
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An Investigation on Prediction of Infrastructure Asset Defect with CNN and ViT Algorithms by Nam Lethanh, Tu Anh Trinh, Mir Tahmid Hossain

“…Convolutional Neural Networks (CNNs) have been demonstrated to be one of the most powerful methods for image recognition, being applied in many fields, including civil and structural health monitoring in infrastructure asset management. …”
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Caries Incidence in School-Based Prevention Programs in the Presence of Interval Censoring by Ryan Richard Ruff

“…To account for interval censoring, we used semiparametric transformation models for univariate failure time data and imputed caries incidence using G-imputation. …”
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Long-Term Vital Sign Tracking Study of Depression Patients Based on Wearable Devices by Yuebo Jin, Yadong Huang

“…Traditional monitoring methods, relying on self-reported symptoms and periodic clinical assessments, are often subjective and infrequent. …”
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Risk factors of human papillomavirus-related cervical lesions in postmenopausal women: a cross-sectional study by Hongmin Zeng, Qianling Dai, Jieru Peng, Juan Li, Jing Chen, Zhipeng Lan, Xia Wu, Ting Shu, Liu Yang, Wenyi Lin, Mulan Li, Xiao Yang, Yonghong Lin

“…Multivariate analysis revealed that factors showing significant differences between two categories included co-infection with types 16 and 18 (adjusted odds ratio [aOR] = 0.348, 95% confidence interval [CI] = 0.138–0.881, p = 0.026), mixed infections involving other types, HPV 16/18 (aOR = 0.514, 95% CI = 0.336–0.785, p = 0.002), transformation zone (TZ) 3 (aOR = 1.604, 95% CI = 1.018–2.528, p = 0.041), and colposcopy impressions indicating high-grade features and worse (aOR = 11.846, 95% CI = 2.132–65.807, p = 0.005). …”
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Social media crisis communication and public engagement during COVID-19 analyzing public health and news media organizations’ tweeting strategies by Ting Song, Ping Yu, Brian Yecies, Jiang Ke, Haiyan Yu

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Assessment of water quality and emerging pollutants in two fish species from the mallorquin swamp in the Colombian Caribbean by Cindy Elles-Pérez, Maria Guzman-Tordecilla, Yuliceth Ramos, Margarita Castillo-Ramírez, Andrea Moreno-Ríos, Carolina Garzón-Rodríguez, Jacquelin Rojas-Solano

“…Water parameters were analyzed using descriptive statistics and multifactorial ANOVA with the Tukey HSD test for seasonal differences. Normality and variance of the fish results were verified, and differences between groups were evaluated using ANOVA or Kruskal-Walli's method when data transformation failed. …”
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Features of expression of immunohistochemical markers in local and generalized clear cell kidney cancer by E. M. Frantsiyants, A. N. Shevchenko, E. A. Dzhenkova, N. S. Karnaukhov, T. A. Gudtskova, A. A. Breus, E. V. Filatova, D. A. Shvyrev

“…The results were expressed as a percentage-the proportion of stained cells in relation to all tumor cells in the field of vision. Parametric methods of statistics were used for statistical processing of the results. …”
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An end-to-end mass spectrometry data classification model with a unified architecture by Yinchu Wang, Wei Zhang, Lin Guo, Fengyi Zhang, Zilong Liu, Xingchuang Xiong, Xiang Fang

“…Despite progress in classification methods/tools for data collection in the past decade, problems such as complex data processing, weak model characterization, and large interbatch differences persist. …”
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TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection by Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

“…Extensive experiments are conducted on three optical-to-infrared datasets, and the experimental results show that our TPDTNet method achieves state-of-the-art results relative to those of the baseline model.…”
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An Unusual Hybrid Salivary Gland Tumor: Molecular Analysis Informs the Potential Pathogenesis of This Rare Neoplasm by Yan Zhou, Ernesto Martinez Duarte, David J. Eleff, Laura J. Tafe, Jason M. Leibowitz, Darcy A. Kerr

“…Molecular analysis revealed differing driver genetic alterations in each component. …”
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Psychological security in the digital classroom by Larysa P. Zhuravlova, Liubov V. Pomytkina, Alla I. Lytvynchuk, Tetiana V. Mozharovska

“… The rapid digitalization of education, accelerated by the COVID-19 pandemic, has transformed how teachers engage with information and communication technologies (ICT). …”
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Prevalence of multimorbidity among urban–rural older adults in Mongolia: a cross-sectional study by Uuganbayar Otgonbaatar, Xinyi Zhang, Mengjie Zhang, Chichen Zhang

“…This study aimed to investigate the prevalence of multimorbidity and its risk factors for multimorbidity among older adults (aged sixty years and above) in urban and rural areas in Mongolia. Methods A face-to-face, questionnaire-based cross-sectional study was conducted with 720 valid participants aged ≥ 60 years in Mongolia from June to September 2023. …”
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COMPARATIVE ANALYSIS OF THE IN VITRO EQUIVALENCE OF METERED AEROSOL INHALERS CONDUCTED BY THE NEW GENERATION IMPACTOR by L. A. Trukhacheva, N. V. Gorpinchenko, S. P. Dementyev

“…The impactor results were statistically evaluated by log transformation of the single data NGI. Results. Statistically significant differences were seen between the deposition profile of Seretide and Tevacomb obtained using the NGI. …”
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From migration to cultivation: how green finance reshapes rural income and enhances agricultural resilience by Jinchen Yan, Jing Li, Yifang Liu, Kun Li, Xia Li

“…However, its specific effects on household income composition and broader rural transformation remain underexplored.MethodsThis study investigates the impact of the Green Finance Reform and Innovation Zones (GFRIZ) on the income structure of rural households. …”
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Cosmetics as a product group of the Russian pharmaceutical market: competition and level of dominance analysis by N. I. Markov, L. S. Treshchetkina

“…Objective: Analysis of competition and the level of dominance in the cosmetics market within pharmacy sales, identification of trends in three key segments: selective, mass market and active (medicinal) cosmetics.Material and methods. The materials used were the annual reports on the Russian pharmaceutical market of the DSM Group company. …”
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The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries by Nicholas Ngepah, Charles S. Saba, Ariane Ephemia Ndzignat Mouteyica, Abieyuwa Ohonba

“…Despite advancements, maternal mortality remains disproportionately high in developing countries due to weaker healthcare infrastructure. Methods Using panel data from 70 countries (1990–2022), sourced from WHO’s Global Burden of Disease (GBD), World Bank’s World Development Indicators (WDI), UNCTAD, and the World Robotics database, we apply the Difference-in-Differences (DiD) approach to assess AI’s impact over time and the Auto-Regressive Distributed Lag (ARDL) model to examine short- and long-term effects. …”
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Efficacy of Topical Nigella sativa Oil for Oral Wound Healing in Rats by Alper Tabaru, Sedat Rüzgar

“…ABSTRACT Objective This study aimed to examine the effect of topical Nigella sativa oil (NSO) on intraoral wound healing in rats. Materials and Methods Forty‐eight female Wistar albino rats (2.5–3 months old) were assigned to two groups (n = 24 each): A control group receiving no treatment and an NSO group receiving a topical application of 1 cc NSO. …”
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COMPARISON OF HEART RATE VARIABILITY ADJUSTED FOR AGE AND HEART RATE IN WOMEN WITH RHEUMATOID ARTHRITIS AND WOMEN WITHOUT RHEUMATIC DISEASES by D. S. Novikova, T. V. Popkova, A. N. Gerasimov, A. V. Volkov, E. I. Nasonov

“…To compare the 24-hour indicators of heart rate variability (HRV), adjusted for age and 24-hour average heart rate (HR24) in women with rheumatoid arthritis (RA) and women of the control group.Material and methods. Women with RA (n=291) at the age of 20-60 were examined. …”
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