Personal model‐assisted identification of NAD+ and glutathione metabolism as intervention target in NAFLD by Adil Mardinoglu, Elias Bjornson, Cheng Zhang, Martina Klevstig, Sanni Söderlund, Marcus Ståhlman, Martin Adiels, Antti Hakkarainen, Nina Lundbom, Murat Kilicarslan, Björn M Hallström, Jesper Lundbom, Bruno Vergès, Peter Hugh R Barrett, Gerald F Watts, Mireille J Serlie, Jens Nielsen, Mathias Uhlén, Ulf Smith, Hanns‐Ulrich Marschall, Marja‐Riitta Taskinen, Jan Boren

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Forecasting Türkiye's Paper and Paper Products Sector Import Using Artificial Neural Networks by Kamil Abdullah Eşidir, Yunus Emre Gür

“…By leveraging the advanced computational power and pattern recognition capabilities of ANNs, the study aims to enhance the strategic planning processes in the paper and paper products industry. …”
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Future risk of falls induced by ankle-foot sprains history: An observational and mendelian randomization study by Xiao'ao Xue, Weichu Tao, Qianru Li, Yi Li, Yiran Wang, Le Yu, Xicheng Gu, Tian Xia, Rong Lu, Ru Wang, He Wang, Yinghui Hua

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Prediksi Detak Jantung Berbasis LSTM pada Raspberry Pi untuk Pemantauan Kesehatan Portabel by Ahmad Foresta Azhar Zen, Eko Sakti Pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

“…The Raspberry Pi is renowned for its compact size, affordability, reliable performance, and efficient computational capabilities. It also enables seamless integration with various sensors, making it an ideal solution for portable health monitoring. …”
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Assisted Egg White Biogenic Synthesis for Elaboration of ZnO Nanoparticles by Elena Andreea Vijan, Ecaterina Magdalena Modan, Sorin Georgian Moga, Denis Aurelian Negrea, Adriana-Gabriela Schiopu, Mihai Oproescu, Daniela Istrate

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Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

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Enhanced effect of radiofrequency ablation on HCC by siRNA-PD-L1-endostatin Co-expression plasmid delivered by Pengfei Chen, Kun Li, Jinwei Chen, He Hei, Jiaxin Geng, Nannan Huang, Mengyu Lei, Huijie Jia, Jianzhuang Ren, Chenwang Jin

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Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model by R. J. Herbert, A. Sanchez-Marroquin, A. Sanchez-Marroquin, D. P. Grosvenor, D. P. Grosvenor, K. J. Pringle, S. R. Arnold, B. J. Murray, K. S. Carslaw

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A Model for Organizational Preparedness of SMEs During COVID-19 Pandemic in Kigezi Sub-region in South Western Uganda. by Tamwesigire, Caleb, Nafiu, Lukman Abiodun

“…Two-stage cluster sampling technique was used and the sample size was computed using Yamane’s sampling formulae based on a 5% level of precision. …”
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Critical depth prediction based on in-situ stress and gas content model of deep coalbed methane in Liupanshui Coalfield in China by Fang Lv, Ruidong Yang, Wei Gao, Lingyun Zhao, Yaohui Liu, Zhihua Yan, Fulun Shi, Binxin Zhang, Jingui Tang, Tongsheng Yi

“…This investigation collates, computes, and consolidates data concerning pore pressure, breakdown pressure, closure pressure, triaxial principal stress, gas content, lateral pressure coefficient, and other pertinent variables from coal reservoirs within several coal-bearing synclines in the Liupanshui coalfield, China. …”
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Investigation of the Performance of a Sb2S3-Based Solar Cell with a Hybrid Electron Transport Layer (h-ETL): A Simulation Approach Using SCAPS-1D Software by Pierre Gérard Darel Kond Ngue, Ariel Teyou Ngoupo, Aimé Magloire Ntouga Abena, François Xavier Abomo Abega, Jean-Marie Bienvenu Ndjaka

“…In this research contribution, computational analysis using SCAPS-1D software is performed to explore the output photovoltaic parameters of a Sb2S3-based solar cell with h-ETL. …”
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Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

“…Hypothesis testing provided solid statistical evidence supporting an interaction between phenotype and each clinical outcome: severity and mortality. By computing their corresponding odds ratios, a clear trend was found for higher frequencies of unfavourable evolution in phenotype C with respect to B, as well as more unfavourable in phenotype B than in A. …”
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Global, regional, and national epidemiology of childhood neuroblastoma (1990–2021): a statistical analysis of incidence, mortality, and DALYsResearch in context by Jusen Nong, Cheng Su, Changhua Li, Congjun Wang, Wei Li, Yong Li, Peng Chen, Yanqiang Li, Zihao Li, Xinjin She, Zuxin Yuan, Sentian Liu, Chao Chen, Qian Liao, Yige Luo, Bo Shi

“…Trends were assessed using Joinpoint regression models to compute the annual percent change (APC) and log-transformed linear regression models to calculate the estimated average annual percentage change (EAPC). …”
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Effectiveness of Mobile Health–Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of... by Tianzhuo Yu, Monica Parry, Tianyue Yu, Linqi Xu, Yuejin Wu, Ting Zeng, Xin Leng, Qian Tong, Feng Li

“…Statistical analyses were conducted using R (version 4.3.2; R Foundation for Statistical Computing). ResultsIn total, 6 randomized controlled trials were included. …”
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Predictive value of the systemic immune–inflammation index for outcomes in large artery occlusion treated with mechanical thrombectomy—a single-center study by Ao Qian, Longyi Zheng, Hui He, Jia Duan, Shuang Tang, Wenli Xing

“…Multivariate analysis demonstrated that heightened SII was significantly related to HT (odds ratio [OR]: 1.061, 95% confidence interval [CI]: 1.035–1.086, p < 0.001), MBE (OR: 1.074, 95% CI: 1.045–1.103, p < 0.001), adverse function (OR: 1.061, 95% CI: 1.031–1.092, p < 0.001), and mortality (OR: 1.044, 95% CI: 1.018–1.070, p = 0.001), after adjusting sex, age, Glasgow Coma Scale (GCS) score at admission, initial National Institutes of Health Stroke Scale (NIHSS) score, baseline Alberta Stroke Program Early Computed Tomography Score (ASPECTS), present HMCAS, occluded vessel region, collateral score and successful revascularization. …”
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Thoracolumbar fascia ultrasound shear strain differs between low back pain and asymptomatic individuals: expanding the evidence by Norio Tomita, Marie-Hélène Roy-Cardinal, Boris Chayer, Stacey Daher, Ameer Attiya, Aline Boulanger, Nathaly Gaudreault, Guy Cloutier, Nathalie J. Bureau

“…Cumulated (C|ShS|L) and maximum (Max|ShS|L) shear strain parameters were computed from radiofrequency data, and TLF thickness was measured on reconstructed B-mode images. …”
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Antifungal activity and biocompatibility assessment with molecular docking and dynamic simulations of new pyrazole derivatives by Basma T. Abd-Elhalim, Ghada G. El-Bana, Ahmed F. El-Sayed, Ghada E. Abdel-Ghani

“…Additionally, the computational ADMET “Absorption–distribution–metabolism–excretion–toxicity” analysis of these compounds revealed adherence to Lipinski’s rules, indicating favorable physicochemical characteristics. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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Neural Network and Hybrid Methods in Aircraft Modeling, Identification, and Control Problems by Gaurav Dhiman, Andrew Yu. Tiumentsev, Yury V. Tiumentsev

“…However, the process of forming such models requires a very large consumption of computational resources. For this reason, the paper considers another variant of the hybrid ANN model. …”
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Efficacy and Safety of Non-Vitamin K Anticoagulants for Atrial Fibrillation in Relation to Different Renal Function Levels: A Network Meta-Analysis by Hao Jin, Kongbo Zhu, Lina Wang, Yifan Li, Jingjun Meng, Hong Zhi

“…NMA was analyzed with R (version 3.5.1, R Foundation for Statistical Computing) with the packages gemtc recalling JAGS (version 4.3.0) for the efficacy and safety of each drug with regard to different levels of renal function. …”
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