Development of approaches to the evaluation of pharmacotherapy effectiveness for chronic hepatitis C by I. A. Narkevich, E. A. Tsitlionok

“…Objective: to analyse the consumption pattern of antiviral therapy (AVT) for chronic hepatitis C on the example of an infectious hospital.Material and methods. …”
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Valley-filling Potential Evaluation of Urban Public Charging Stations Based on Price Incentive by Dawei SU, Yihui FAN, Tianhui ZHAO, Hongjin PAN, Youhui HUANG, Gang WANG, Yongyong JIA

“…Then, the typical load characteristic indicators including valley-period and flat-period load rates are proposed, and the charging load valley-filling potential evaluation parameters are introduced to carry out valley-filling potential evaluation of urban public charging stations. …”
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Gut Microbiota Contribute to Heterosis for Growth Trait and Muscle Nutrient Composition in Hybrid Largemouth Bass (<i>Micropterus salmoides</i>) by Jixiang Hua, Qingchun Wang, Yifan Tao, Hui Sun, Siqi Lu, Yan Zhuge, Wenhua Chen, Kai Liu, Jie He, Jun Qiang

“…Growth, digestive enzyme activity, and muscle nutrient composition were compared between the hybrid groups (NC and CN) and the purebred groups (NN and CC), and the gut microbiota was investigated. The heterosis rates of body length, body height, and body thickness in hybrid largemouth bass were statistically significant. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Levels and types of physical activity in Russia according to the ESSE-RF study: is there a trace of the COVID-19 pandemic? by M. B. Kotova, S. A. Maksimov, S. A. Shalnova, A. V. Kontsevaya, Yu. A. Balanova, A. E. Imaeva, V. A. Kutsenko, G. A. Muromtseva, N. S. Karamnova, S. E. Evstifeeva, A. V. Kapustina, O. A. Litinskaya, M. S. Pokrovskaya, E. B. Yarovaya, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. D. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radjabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, M. V. Esina, T. A. Kunyaeva, A. M. Nikitina, N. V. Savvina, Yu. E. Spiridonova, E. A. Naumova, A. A. Keskinov, V. S. Yudin, S. M. Yudin, O. M. Drapkina

“…Compared to the urban population, rural residents have higher physical activity rates (23,9 vs 20,3%, p&lt;0,001). The proportion of people with high physical activity is also higher among people with higher income levels (p&lt;0,001). …”
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Clinical characteristics of obsessive-compulsive disorder comorbid with obsessive -compulsive personality disorder: subtype implications by Ayse Dondu, Levent Sevincok

“…The severity of current OC symptoms was assessed using the Yale–Brown Obsessive Compulsive Scale (Y-BOCS), while depressive symptoms were measured with the Hamilton Depression Rating Scale (HDRS). Anxiety symptoms were also evaluated using the Hamilton Anxiety Rating Scale (HARS).ResultsAmong 148 OCD patients, 58.8% met the diagnostic criteria for OCPD. …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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Avaliação comparativa e evolutiva dos protocolos de atendimento dos pacientes fissurados Comparative and evolutive evaluation of attendance protocols of patients with clef lip and... by Nivaldo Alonso, Daniela Yukie Sakai Tanikawa, Jonas Eraldo de Lima Junior, Marcus Castro Ferreira

“…Eight surgical categories were related, palate repair (35.18%) was the most utilized one, followed by lip repair (unilateral and bilateral), keeping the same distribution pattern. Secondary procedures had persisted with high rates (approximately 30%), however the number of complications decreased (no fistulae). …”
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Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season by Clair Barnes, Piyush Jain, Theodore R Keeping, Nathan Gillett, Jonathan Boucher, Philippe Gachon, Dorothy Heinrich, Megan Kirchmeier-Young, Yan Boulanger

“…We find that the annual accumulated daily severity rating (DSR), a measure of weather-related fire risk) is increasing in most ecozones in response to global warming, with the largest increases in the early months of the fire season; although temperatures are increasing everywhere, this effect is offset in some regions by increased precipitation. …”
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Coping and positive mental health in Canada among youth and adults: findings from a population-based nationally representative survey by Mihojana Jhumi, Laura L. Ooi, Karen C. Roberts, Melanie Varin

“…MethodsWe analyzed data from the 2019 Canadian Community Health Survey on the self-rated ability of adults and youth (N = 60 643; 12+ years) to cope with unexpected or difficult problems and day-to-day demands along with three PMH outcomes: selfrated mental health (SRMH), happiness and life satisfaction. …”
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Evaluating the efficacy of Internet-Based Exercise programme Aimed at Treating knee Osteoarthritis (iBEAT-OA) in the community: a study protocol for a randomised controlled trial by Abhishek Abhishek, Sameer Akram Gohir, Paul Greenhaff, Ana M. Valdes

“…The participants will be assessed using a Numerical Rating Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, the Arthritis Research UK Musculoskeletal Health Questionnaire, the Pittsburgh Sleep Quality Index, 30 s sit to stand test, timed up and go test, quantitative sensory testing, musculoskeletal ultrasound scan, muscle thickness assessment of the vastus lateralis, and quadriceps muscles force generation during an isokinetic maximum voluntary contraction (MVC). …”
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Subjective Performance Expectations From and Demographic and Categorical Differences in the Acceptance of Virtual Reality or AI Technologies in Rehabilitation Programs: Cross-Secti... by Guido Waldmann, Dominik Raab

“…A significant rank correlation was observed for 103 out of 105 pairwise comparisons of the therapeutic fields, with distinct patterns of effects sizes within the chosen categories. …”
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Autism spectrum disorder – the fight of the public against a disease it fails to understand by Minahel Ahmed, Eman Sikandar, Arysha Javid

“…Even though multiple rating scales and checklists have been established, it is preferable to use more performance-based methodologies for assessment and diagnosis [2]. …”
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Diffusion–tensor MRI study of the relationship between glymphatic system asymmetry and onset lateralization in Parkinson’s disease by Zihan Li, Xinxin Miao, Qiumei Zhang, Jun Shen, Yongfeng Jia, Shaoyun Ge, Peixian Ji, Jianwei Wang, Kezhong Zhang, Min Wang

“…Moreover, in RPD patients, the Unified Parkinson’s Disease Rating Scale Part III score showed a negative correlation with the left ALPS index and with AI. …”
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Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study by Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński, Marek Macko, Tomasz Bednarek, Krzysztof Tyburek

“…The overall effectiveness rating was 9/10; thus, AI-based IoT solutions are a feasible, cost-effective, and sustainable approach to office energy management.…”
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Deeply revealing the coupled formation mechanism of inclusions and precipitates in 654NMo ingot by Hongchun Zhu, Xinbo Yan, Huabing Li, Zhiyu He, Zhuowen Ni, Hao Feng, Shucai Zhang, Zhouhua Jiang, Pengchong Lu

“…The inclusion number density is significantly higher at the ingot edge compared to the center, while the bottom zone exhibits a greater density than the top and middle. This distribution pattern is attributed to the higher solidification rates at the edge and bottom. …”
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Multiyear Baleen Endocrine Profiles Suggest a Longer Estimated Gestation in Southern Right Whales (Eubalaena australis) by Loraine Shuttleworth, Andre Ganswindt, Kathleen E. Hunt, Alejandro Fernández Ajó, Estefan Pieterse, S. Mduduzi Seakamela, Chantel Schoeman, Els Vermeulen

“…ABSTRACT Gestation length is a key reproductive parameter influencing fecundity, population growth rates, and the recovery potential of baleen whales. …”
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Using optimization tools to explore stratospheric aerosol injection strategies by E. Brody, Y. Zhang, D. G. MacMartin, D. Visioni, B. Kravitz, B. Kravitz, E. M. Bednarz, E. M. Bednarz, E. M. Bednarz

“…However, the outcomes will depend on how it is deployed: not just how much but also the latitudes of injection and the distribution of injection rates across those latitudes. Different such strategies have been proposed, for example, managing up to three climate metrics simultaneously by injecting at multiple latitudes. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…Concurrently, variational mode decomposition (VMD) provides frequency-domain decomposition capability, while the gated recurrent unit (GRU) captures long-term dependencies. …”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…This study evaluates multiple ML models, including logistic regression, random forest, and LightGBM, alongside DL architectures such as ALBERT and Gated Recurrent Units (GRUs), for both binary and multi-class classification of mental health conditions. …”
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