THE RELEVANCE OF A COMPREHENSIVE ANALYSIS OF MEDICAL AND DEMOGRAPHIC PROBLEMS IN CONNECTION WITH THE HARMFUL EFFECTS ON HUMANS OF ENVIRONMENTAL FACTORS IN KUZBASS by Андрей Георгиевич Петров, Виктор Андреевич Семенихин, Ольга Владимировна Хорошилова, Сергей Николаевич Филимонов, Юлия Александровна Сашко

“…The goal is to identify patterns of changes that have occurred with medical and demographic indicators in connection with the harmful effects on humans of environmental factors in Kuzbass. …”
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Spatial analysis of under-five mortality in Africa using geographically weighted poisson regression by Johnson Adedeji Olusola, Adedeji Adigun Oyinloye, Kemi F. Akeju, Ropo Ebenezer Ogunsakin, Sibusiso Moyo

“…The disparities in child mortality rates can be attributed to socioeconomic and environmental inequalities across nations. …”
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Investigation of the effect of deprivation on the burden and management of venous leg ulcers: a cohort study using the THIN database. by Emily S Petherick, Nicky A Cullum, Kate E Pickett

“…<h4>Background</h4>There has been limited examination of the contribution of socio-economic factors to the development of leg ulcers, despite the social patterning of many underlying risk factors. No previous studies were found that examined social patterns in the quality of treatment received by patients with leg ulcers.…”
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Prevalence and predictors of substance use as a factor in suicide in the USA, 2015–2020: a repeated cross-sectional analysis by Julie A Phillips

“…Background US rates of substance abuse and suicide mortality increased dramatically in recent years, but little is known about how rising rates of drug and alcohol use are associated with suicide. …”
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Resonance-Driven Discrete Growth and Chemical Reactivity of Optically Levitated Droplets by Kaiqi Zhang, Grégory David, Yue Zhao, Hua-Yun Xiao, Ruth Signorell, Chenxi Li

“…By combining Mie theory-based analysis of the stimulated Raman scattering and droplet thermodynamics, we develop an approach to retrieve the key properties (e.g., temperature, pH, and molality) of thermally locked droplets and demonstrate that chemistry-driven thermal locking results in a signature particle growth pattern. Comparison of sulfate formation rates in locked versus unlocked droplets further reveals that thermal locking can accelerate chemical reactions or even change the dominant mechanism by promoting photoinduced reaction pathways. …”
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Evaluating the Quality of Online Fertility Nutrition Claims by Kimberly R Lush, Amy T Hutchison, Jessica A Grieger

“…Survey participants rated 40 claims using a 5-point Likert scale from “Not at all likely” to “Highly likely”. …”
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Treatment response in relation to subthreshold bipolarity in patients with major depressive disorder receiving antidepressant monotherapy: a post hoc data analysis (KOMDD study) by Park Y, Lee B

“…The Beck Depression Inventory (BDI), Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Scale, and Beck Scale for Suicide Ideation were applied at baseline, 1 week, 3 weeks, 2 months, 3 months, and 6 months. …”
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Regional Climate Drives Spatial Variation in Species Richness in the Most Diverse Family of Neotropical Snakes (Colubroidea: Dipsadidae) by Juan P. Ramírez, Julián A. Velasco, Tod W. Reeder

“…Under these hypotheses, climate can determine the richness of regions in two main ways: (1) directly, by determining their carrying capacity, or (2) indirectly, through its effects on either (a) lineage diversification (i.e., the rates of speciation and/or extinction), or (b) the duration over which regions have been accumulating species. …”
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Temporal trends and future projections of cysticercosis-induced epilepsy: insights from the global burden of disease study 2021- a cross-sectional study by Siyuan Yang, Xiaoyu Ji, Xuebo Sun

“…However, the global prevalence and YLDs rates of CIE declined from 1992 to 2021, with estimated annual percentage change (EAPC) of −1.281 (95% CI: −1.373 to −1.19) and −1.878 (95% CI: −1.961 to −1.794). …”
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A Systematic Review of Tobacco Smoking Prevalence and Description of Tobacco Control Strategies in Sub-Saharan African Countries; 2007 to 2014. by Rachel Brathwaite, Juliet Addo, Liam Smeeth, Karen Lock

“…Rwanda had the highest prevalence of women smokers (12.6%) and Ghana had the lowest (0.2%). Rural, urban patterns were inconsistent. Most countries have implemented demand-reduction measures including bans on advertising, and taxation rates but to different extents.…”
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Polymicrobial Prosthetic Joint Infections: Unraveling Risk Factors and Outcomes in a Single-Center Study by Álvaro Auñón, Ignacio Ortiz, Salvador Peñarrubia, Carmen Álvaro, Estíbaliz Torrecilla-Sádaba, Joaquin Garcia-Cañete, Jaime Esteban

“…Patients with polymicrobial infections had higher rates of obesity, insulin-dependent diabetes, and higher Charlson comorbidity scores. …”
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Empirical Evaluation of the Relative Range for Detecting Outliers by Dania Dallah, Hana Sulieman, Ayman Al Zaatreh, Firuz Kamalov

“…Outlier detection plays a key role in data analysis by improving data quality, uncovering data entry errors, and spotting unusual patterns, such as fraudulent activities. Choosing the right detection method is essential, as some approaches may be too complex or ineffective depending on the data distribution. …”
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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

“…Descriptive statistics, error rates, and correlation analyses were performed using R software (version 4.1.2). …”
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Common Glomerular Diseases in Adult Jordanians: A Single-Center Experience by Ahmed Sheyyab, Mohammad Al-thnaibat, Aseel A. Zghayer, Jafar Alsheyyab, Radi Hamed

“…The pattern of glomerular diseases has been reported previously with contradictory results. …”
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The joint impact of road density and width on road network performances —a simulation approach based on macroscopic fundamental diagram by Yingying Ma, Wenyi Xie, Xiaoran Qin, Zebang Liang, Ziyan Guan

“…Using the macroscopic fundamental diagram (MFD) model, we analyzed metrics including MFD scatter dispersion, changes in experimental results with different vehicle arrival patterns, distortion of the MFD image with varying traffic volume, MFD slope variations, and maximum outflow rates. …”
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Evolutionary trajectory and spread of respiratory syncytial virus group A in neonatal cohorts in Pakistan amidst the COVID-19 pandemic by Sana Tamim, Nidia S. Trovao, Julia Paoli, Abdul Ahad, Nazish Badar, Uzma Bashir Aamir, Muhammad Salman, Aamer Ikram

“…These rates later dropped to 10.0% (2021–22), suggesting a possible re-implementation of such measures. …”
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Arthroscopic Fixation of Tibial Plafond Central Depression Pilon Fracture With Percutaneous Jail Screw Technique by Ming Hong Chau, M.B.Ch.B., F.H.K.C.O.S., F.H.K.A.M. (Orthopaedic Surgery), F.R.C.S.Ed. (Orth), M.R.C.S.Ed, Stephanie Ka Ki Liu, M.B.B.S., F.H.K.C.O.S., F.H.K.A.M. (Orthopaedic Surgery), F.R.C.S.Ed. (Orth.), F.H.K.C.O.S. (Rehabilitation), M.R.C.S.Ed

“…One of the most complex patterns is the pilon type of ankle fracture. It is commonly associated with high complication rates. …”
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Detection of Cisplatin Resistance in Bladder Cancer Using Machine Learning by Moditha Reddy Jagannatha Reddy, Mrudula Ranganatha, Shanthala Lakshminarayana, Jayoung Kim, Sungyong Jung, Yuze Sun, Hyusim Park

“…However, the emergence of cisplatin resistance poses significant challenges, contributing to high recurrence rates. This study investigates the mechanisms of cisplatin resistance in BC through the application of Machine Learning (ML) models, including Association Rule Mining, K-mode Clustering, and Decision Tree Classifier. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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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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