Storm: Incorporating transient stochastic dynamics to infer the RNA velocity with metabolic labeling information. by Qiangwei Peng, Xiaojie Qiu, Tiejun Li

“…Previous approaches utilizing the deterministic dynamics and steady-state assumption on gene expression states are insufficient to achieve favorable results for the data involving transient process. We present a dynamical approach, Storm (Stochastic models of RNA metabolic-labeling), to overcome these limitations by solving stochastic differential equations of gene expression dynamics. …”
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Consumer perceptions of e-commerce marketing tactics in North Karnataka by V. R. Hiremath, Sanjeev Ingalagi

“…Various measurement instruments were used to capture customer perceptions, attitudes, and satisfaction levels, including nominal, ordinal, and scale data. The collected data underwent coding and cleaning processes to ensure accuracy and consistency, followed by statistical analysis using descriptive statistics and automated linear regression methods. …”
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Tidal bore revealed by SWOT: a case study from the Severn river by R. L. Arildsen, O. B. Andersen, B. Nilsson, C. B. Ludwigsen

“…We demonstrate that SWOT high-rate data is highly accurate, even in intertidal zones with significant wetting and drying and extreme tidal amplitude, emphasizing the importance of minimal data smoothing to preserve critical details. …”
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Leveraging PSO-MLP for intelligent assessment of student learning in remote environments: a multimodal approach by Jing Wang, Muhammad Asif

“…First, the joint characteristics of the pre-class mental status survey information and the health big data of teachers and students in the online teaching process constitute input data. …”
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Fine-Tuning Pre-Trained Large Language Models for Price Prediction on Network Freight Platforms by Pengfei Lu, Ping Zhang, Jun Wu, Xia Wu, Yunsheng Mao, Tao Liu

“…The Chain of Thought (CoT) is employed to construct a corpus that demonstrates the reasoning process in freight price prediction. Cross entropy loss with LoRA fine-tuning and cosine annealing learning rate adjustment, and Mean Absolute Error (MAE) loss with full fine-tuning and OneCycle learning rate adjustment to train the models, respectively, are used. …”
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Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach by Shijie Liang, Haitao Zhao, Li Zhou, Zhe Wang, Kuo Cao, Junfang Wang

“…Finally, the simulation and analysis are primarily focused on the performance of the proposed algorithm and existing algorithms across varying data packet generation rates, different main lobe gains, and varying main lobe widths. …”
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Assessing and Forecasting Natural Regeneration in Mediterranean Landscapes After Wildfires by Paraskevi Oikonomou, Vassilia Karathanassi, Vassilis Andronis, Ioannis Papoutsis

“…This study explores the potential of NDVI for assessing and forecasting post-fire regeneration in burnt areas of the Peloponnese (2007) and Evros (2011). NDVI data from Landsat 7 and 9 were analyzed to identify the stages of the regeneration process and the dominant vegetation species at each stage. …”
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Optimizing Skin Quality via AI-Enhanced Physical Activity by Niki Tertipi, Eleni Sfyri, Vasiliki Sofia Grech, Vasiliki Kefala, Efstathios Rallis

“…Wearable sensors and smart fitness devices provide real-time data on physiological responses (e.g., heart rate, sweat rate, and oxidative stress) and environmental parameters (e.g., UV exposure and pollution levels). …”
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Weather analysis applying the new clothing resistance model by Ferenc Ács, Erzsébet Kristóf, Annamária Zsákai

“…The key input variable of the model is the rate of sweating (λEsw). Since sweating is an individual‐specific process, the model applies to the individual. …”
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Application of Artificial Intelligence in Academic Libraries by Antonija Marinclin, Robert Idlbek, Miroslav Popović

“…The survey targeted academic libraries in Croatia to gather comprehensive data on the current state of AI implementation. …”
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The big decline: Lowest-low fertility in Uruguay (2016–2021) by Wanda Cabella, Mariana Fernández Soto, Ignacio Pardo, Gabriela Pedetti

“…Uruguay has been at the forefront of this regional process, as the country’s total fertility rate plummeted from 2 children per woman in 2015 to 1.37 in 2021 (and continued to drop to 1.28 in 2022, according to preliminary data). …”
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Multi-temporal satellite image analysis for detecting the changes in mangrove vegetation between Allith and Alqahma on the Red Sea coast by Basma Alharbi

“…We used multi-spectral satellite images from moderate resolution imaging spectroradiometer (MODIS) Aqua, Landsat-5 Thematic Mapper (TM), Landsat-8 operational land imager (OLI), and modern-era retrospective analysis for research and applications, version 2 (MERRA-2) captured during 1990–2022. The data were processed and analysed using the optimised soil-adjusted vegetation index, classification method, overlay, and change detection to develop a digital map of the spatio-temporal changes in the mangroves from 1990 to 2022. …”
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Study of the Feasibility of Regeneration of Central Worn-Out Textures of Ilam City Based on Urban Smart Growth Approach by pakzad azadkhani, mohammad Salavarzizadeh, Fatemeh Farogh Doost

“…Data analysis is done using single-sample t-test, fuzzy multi-criteria analytical hierarchy process (fuzzy AHP), and its integration with GIS layers. …”
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Prevalence of colorectal polyps in patients undergoing colonoscopy in Sulaimaniyah gastroenterology center: a retrospective study by Hawar Ali Ghalib, Fadhil Ahmed Mohialdeen Khayat, Chenar Dhahir Fatah

“…Patients sociodemographic data (age, gender, and residency), presented symptoms, surveillance rate for colon cancer and polyps, and disease follow-up were studied. …”
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EFFECT SIGNIFICANCE ASSESSMENT OF THE THERMODYNAMICAL FACTORS ON THE SOLID OXIDE FUEL CELL OPERATION by V. A. Sednin, A. A. Chichko

“…Statistical analysis of the effects of the SOFC functionning process thermodynamical, consumption and concentration parameters demonstrates quintessential influence of the reciprocative factors (temperature – flow-rate and pressure – flow-rate) and the nitrogen N2 and oxygen O2 concentrations on the operation efficiency in the researched range of its functioning. …”
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A sparse and invisible targeted backdoor attack in federated learning by Qikun Zhang, Mengyang Yu, Ruifang Wang, Yongjiao Li, Junling Yuan, Yu-an Tan

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Development and evaluation of a reproductive health promotion program for women of reproductive age with kidney transplant: protocol for a mixed methods study by Zohreh Haghighatdana, Fatemeh Mohammadi, Mohammad Saad Forghani, Shahnaz Kohan

“…Abstract Background Kidney transplantation is the best treatment for patients with end-stage renal disease (ESRD), and Iran, with a rate of 30.9 transplants per million people, has the highest kidney transplant rate in the Middle East. …”
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Effect of shiitake (Lentinula edodes) mushroom extract on the growth and resistance of the Russian sturgeon (Acipenser gueldenstaedtii Brandt, 1856) juveniles by Yu. Zabytivskyi, M. Koryliak, L. Bobeliak, H. Kachai

“…The daily growth rate and cumulative survival rate of sturgeons were studied. …”
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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

“…Traditional methods face challenges in motor broken rotor bar (BRB) detection: model-driven methods are difficult to apply accurately in complex and changing environments, while data-driven methods usually require sophisticated feature extraction and classification processes. …”
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Optimization and Kinetics of Nickel Ion Adsorption from Electroplating Effluent onto Activated Carbon Prepared from Egg Shell by S. Anuradha Jabasingh, C. Valli Nachiyar

“…Adsorption kinetic data were tested using the pseudo-first-order, pseudo-second-order and intra-particle diffusion models. …”
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