Modulation of vestibular function and receptor expression by experimental hypergravity in a rat model by Jin Sil Choi, Ji Eun Hong, Yoon Kun Jung, Kyu-Sung Kim, Hyun Ji Kim

“…Rats in the hypergravity group showed a significant reduction in vestibulo ocular reflex (VOR) gain compared to those in the control group. …”
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Modeling energy consumption indexes of an industrial cement ball mill for sustainable production by Saeed Chehreh Chelgani, Rasoul Fatahi, Ali Pournazari, Hamid Nasiri

“…Such a CL model for a cement mill can be used for training operators, controlling the process, saving time and energy, reducing laboratory work, and scaling issues, and finally enhancing sustainability.…”
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Chaotic chimp-mountain gazelle optimized FOPID control for frequency regulation in islanded airport microgrids with heterogeneous energy systems by Odelu P., Chandan Kumar Shiva, Sachidananda Sen, Vedik Basetti, Chandra Sekhar Reddy

“…The system considered here is a multi-source airport model integrating wave, wind, solar, biogas turbines, battery energy storage systems, ultra-capacitors, and electric vehicles. …”
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COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

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Identification of water sources of mine water bursts based on the FPS-DT model by Kaide Liu, Yu xia, Xiaolong Li, Chaowei Sun, Wenping Yue, Qiyu Wang, Songxin Zhao, Shufeng Chen

“…Based on this, a decision tree model (FPS-DT) is constructed using the CART algorithm. …”
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Impact of prey-taxis on a harvested intraguild predation predator–prey model by Mengxin Chen, Canrong Tian, Seokjun Ham, Hyundong Kim, Junseok Kim

“…It is found that the model has a global classical solution when controlling the prey-taxis coefficient in a certain range. …”
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Projection of the Relationship between Climate Change Groundwater Resources Based on the MODFLOW Model by Fatemeh Boomeh, Mohammad Hosein Mokhtari, Ali Talebi, Massoud Goodarzi

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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

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A complex intervention to reduce antibiotic prescribing in rural China: a cluster randomised controlled trialResearch in context by Xingrong Shen, Beth Stuart, Enci Cui, Rong Liu, Tingting Zhang, Jing Chai, Wenjuan Cong, Xiaowen Hu, Isabel Oliver, Guiqing Yao, Paul Little, Helen Lambert, Lucy Yardley, Christie Cabral, Debin Wang

“…These measures were analyzed using generalized linear mixed modeling controlling for clustering. The study was registered as ISRCTN30652037. …”
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Effectiveness of case management and psychological intervention nursing model in bariatric surgery patients by Qin Sun, Qin Sun, Aimei Jia, Yuan Zhang, Dianyuan Liang, Ke Song, Norshafarina Shari

“…The patients were divided into two groups based on the nursing model. The control group (n = 50) received conventional nursing, while the experimental group (n = 50) was treated with case management combined with psychological intervention nursing. …”
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Evaluation of the Efficacy of Riamilovir and Oseltamivir Combination on the Experimental Model of Mice Influenza Infection by I. N. Falynskova, I. A. Lenyova, O. V. Makarova, N. R. Makhmudova, E. A. Glubokova, N. P. Kartashova, V. A. Mkhitarov, D. Sh. Dzhalilova

“…This treatment showed a statistically significant reduction in animal mortality, prevented their loss of body weight, and prolonged life expectancy compared to the control group of animals that did not receive treatment. …”
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Application of Machine Learning Models in Optimizing Wastewater Treatment Processes: A Review by Florin-Stefan Zamfir, Madalina Carbureanu, Sanda Florentina Mihalache

“…The treatment processes from a wastewater treatment plant (WWTP) are known for their complexity and highly nonlinear behavior, which makes them challenging to analyze, model, and especially, to control. This research studies how machine learning (ML) with a focus on deep learning (DL) techniques can be applied to optimize the treatment processes of WWTPs, highlighting those case studies that propose ML and DL methods that directly address this issue. …”
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Predictive Modeling of Covid-19 Data in the US: Adaptive Phase-Space Approach by Vasilis Z. Marmarelis

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Parametric LCA model for Ti6Al4V powder production by Christian Spreafico, Baris Ördek

“…The model minimizes environmental impact under user-defined control conditions (target powder diameter, region, impact category). …”
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Drivers of Future Indian Ocean Warming and Its Spatial Pattern in CMIP Models by S. Gopika, K. Sadhvi, J. Vialard, V. Danielli, S. Neetu, M. Lengaigne

“…The multi‐model mean (MMM) basin‐averaged warming is primarily driven by reduced evaporative cooling due to weaker surface winds related to reduction of both summer and winter monsoonal circulations and increased near‐surface relative humidity, with inter‐model variations in these parameters controlling warming diversity. …”
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Computational modeling of infectious diseases: insights from network-based simulations on measles by Francesco Branda, Pierangelo Veltri, Francesco Chiodo, Massimo Ciccozzi, Fabio Scarpa, Pietro Hiram Guzzi

“…Abstract Background Computational modelling of disease spread is crucial for understanding the dynamics of infectious outbreaks and assessing the effectiveness of control measures. …”
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Taurine Alleviates the Progression of Diabetic Nephropathy in Type 2 Diabetic Rat Model by Jang Hyun Koh, Eun Soo Lee, Miri Hyun, Hong Min Kim, Yoon Jung Choi, Eun Young Lee, Dhananjay Yadav, Choon Hee Chung

“…The antioxidant effects of taurine were confirmed by the reduction of urine MDA in taurine treated diabetic group. …”
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Electrical discharge machining: Recent advances and future trends in modeling, optimization, and sustainability by Muhamad Taufik Ulhakim, Sukarman, Khoirudin, Dodi Mulyadi, Hendri Susilo, Rohman, Muji Setiyo

“…Advanced modeling techniques, such as finite element analysis (FEA) and artificial intelligence (AI)-driven simulations, have improved the accuracy of process predictions, enabling real-time adjustments and precise control of machining parameters. …”
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Energy efficiency and indoor climatic conditions in buildings: dynamic modeling for systemic improvement by Inna Bilous, Dmytro Biriukov, Tatiana Eutukhova, Oleksandr Novoseltsev, Volodymyr Voloshchuk, Aleksejs Prozuments

“…The obtained results were verified by means of energy models created in the widely used software product EnergyPlus. …”
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Evaluating the Effectiveness of Pegbelfermin in MASH‐Associated Hepatic Fibrosis A Meta‐Analysis and Systematic Review of Randomized Controlled Trials by Muhammad Shahzil, Fariha Hasan, Syeda Kanza Kazmi, Manesh Kumar Gangwani, UmmeSalma Shabbar, Ammad Javaid Chaudhary, Muhammad Ali Khaqan, Muhammad Saad Faisal, Kathy N. Williams, Babu P. Mohan, Christina Tofani

“…Meta‐analyses were performed with RevMan 5.4 using a random‐effects model. Results Data from 452 participants across three RCTs were analyzed. …”
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