Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…Results Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. …”
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Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach by Jianbing Li, Yinqiu Zhao, Chi Yang, Wenqing Li, Zhihao Huang, Changhe Fan

“…However, there is a need for studies of accurate and efficient SA models specifically for use in adolescents with mood disorders due to a lack of existing research integrating risk variables when predicting clinical SA. …”
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Clinical significance of plasma-free amino acids and tryptophan metabolites in patients with non-small cell lung cancer receiving PD-1 inhibitor: a pilot cohort study for developin... by Akihiko Kawahara, Tetsuro Sasada, Koichi Azuma, Hidenobu Ishii, Norikazu Matsuo, Takaaki Tokito, Tomoaki Hoshino, Yohei Miyagi, Huihui Xiang, Tomoyuki Tagami, Rika Kasajima, Yumiko Kato, Sachise Karakawa, Shinya Kikuchi, Akira Imaizumi, Kenta Murotani

“…Using Cox hazard analysis with these variables, a multivariate model was established to stratify patient overall survival (OS). …”
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Assessment of Outcomes of the Modified Stoppa Approach in the Treatment of Acetabular Fractures: A Retrospective Cohort Study by Nurgeldi Manap, Nagmet Mursalov, Mukhtar Abilmazhinov

“…Exclusion criteria: other operative approaches to pelvic bones and patients under 18 years of age. 21 patients underwent surgery with the use of modified Stoppa approach (group A) and 10 surgeries were performed using the ilioinguinal approach (group B). Efficiency was evaluated by comparison of duration of surgical procedures, amount of blood lossbetween groups, size of skin incision, quality of reduction and functional outcomes. …”
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Weather Phenomena Monitoring: Optimizing Solar Irradiance Forecasting With Temporal Fusion Transformer by Xinyang Hu

“…The proposed model decomposes the raw solar irradiance sequence into intrinsic mode functions using VMD and optimizes the TFT using the variable screening network and GRU-based encoder-decoder. …”
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Optimizing Constrained Engineering Optimization Problems Using Improved Mountain Gazelle Optimizer by Vu Hong Son Pham, Nghiep Trinh Nguyen Dang, Van Nam Nguyen

“…This study introduces a novel approach to engineering design optimization through the development of an improved mountain gazelle optimizer (iMGO) that incorporates variable neighborhood search (VNS) techniques. The enhanced algorithm effectively addresses engineering optimization challenges by identifying optimal design solutions within specified constraints. …”
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Influence of structural surface roughness on the strength of layered fill bodies based on PFC2D by Jinxing WANG, Zongsheng HU, Huazhe JIAO, Xiaolin YANG, Qi ZHANG, Xiaohui LIU, Ping XU, Junqiang XU, Xun CHEN

“…The relationship between cemented surface roughness and backfill strength is examined by analyzing variables such as cemented surface roughness, mass fraction of slurry, cement-to-sand ratio, and filling interval time. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…However, the model’s performance could be further enhanced by incorporating additional relevant features such as geopolitical indicators, economic indices, and policy variables. Future research should focus on expanding the model’s input space and refining its architecture to improve accuracy, especially in periods of market turbulence. …”

MiR-216a-3p inhibits the cytotoxicity of primary natural killer cells by Rowan Abdelbary, Rowan Abdelbary, Manon Ragheb, Manon Ragheb, Shereen A. El Sobky, Nagwa El-Badri, Nourhan Aboud, Ahmed Tawheed, Asmaa Gomaa, Mona Zidan, Ramy K. Aziz, Abd Elrahman Abouzid, Radwa Ayman Salah, Mohamed El-Kassas, Imam Waked, Ahmed Moustafa, Ahmed Moustafa, Injie Omar Fawzy, Nada El-Ekiaby, Ahmed Ihab Abdelaziz

“…IntroductionThe role of miRNAs in regulating variable molecular functions has been sought by scientists for its promising utility in regulating the immune response and, hence, in treating various diseases. …”
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Generating Electricity with Hydraulically Amplified Self-Healing Electrostatic (HASEL) Transducers by Isabel Hess, Stephen Chamot, Blake Boren, Patrick Musgrave

“…This study identifies hydraulically amplified self-healing electrostatic (HASEL) transducers as electricity generators, contrary to their conventional role as actuators. HASELs are soft, variable-capacitance transducers inspired by biological muscles which were developed to mimic the flexibility and functionality of natural muscle tissues. …”
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Manufacturing of Rotational Toroidal Shells in Coin Minting by Luís M. Alves, Paulo Alexandrino, Sónia Pereira

“…Through finite element modeling and experimentation, key process variables were identified, ensuring sound hollow toroidal shells with efficient rotation.…”
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A Brief Political Economy of Energy Subsidies in the Middle East and North Africa by Laura El-Katiri, Bassam Fattouh

“…While it is clear that energy subsidy reform will not be the only variable at play, its potential socio-economic dividends are important factors for enabling some common regional objectives—sustainable fiscal policies, fiscal space to invest in key areas, and a more efficient and equitable distribution of scarce resources—to be achieved, helping to promote a more stable political status quo in the long term. …”
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Classification of Biological Data using Deep Learning Technique by Azha Javed, Muhammad Javed Iqbal

“…Previous work failed to properly address issues related to the classification of biological sequences i.e. protein including efficient encoding of variable length biological sequence data and implementation of deep learning based neural network models to enhance the performance of classification/ recognition systems. …”
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Haemodynamics-driven developmental pruning of brain vasculature in zebrafish. by Qi Chen, Luan Jiang, Chun Li, Dan Hu, Ji-wen Bu, David Cai, Jiu-lin Du

“…The brain blood vasculature consists of a highly ramified vessel network that is tailored to meet its physiological functions. How the brain vasculature is formed has long been fascinating biologists. …”
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Center of Largest Area Defuzzifier Vnit VLSI Architecture by Asim Majeed Murshid, Ahmed Chalak Shakir, Sarmed Nihad Mohammed

“…The functional analysis has revealed that the proposed architecture is implementing COLA based defuzzifier efficiently and accurately. …”
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Simulation Model for Hardware-in-the-Loop Tests of the ILR-33 AMBER Rocket Control System by Dawid Cieśliński, Rafał Dziczkaniec, Jan Kierski, Cezary Szczepański, Michał Welcer

“…It permits us to simulate flight dynamics in a 6DOF environment, with consideration of the variable thrust, mass-inertia, and aerodynamics. It reproduces key functionalities of on-board computer and sensors and allows us to reproduce multiple mission scenarios. …”
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Effects of Indoor Air Quality on Human Physiological Impact: A Review by Tong Nie, Guofu Zhang, Yinan Sun, Wenhao Wang, Tianai Wang, Haoyan Duan

“…Through an analysis of cardiovascular biomarkers (heart rate variability, blood pressure), respiratory parameters, and neurological indicators (electroencephalogram patterns), we identify the mechanisms linking air quality degradation to impaired physiological functioning. …”
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A computationally lightweight model for ensemble forecasting of environmental hazards: General TAMSAT-ALERT v1.2.1 by E. Black, E. Black, J. Ellis, R. I. Maidment, R. I. Maidment, R. I. Maidment

“…The model presented here, General TAMSAT-ALERT, represents a significant scientific and functional advance on previous implementations. Notably, General TAMSAT-ALERT is applicable to any variable for which time series data are available. …”
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Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains by Taufik Iqbal Miftaks, Muhammad Azis Muslim, Mochammad Rusli

“…SMC is a type of non-linear control that functions functionally to control variable structures. …”
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Enhancing access to specialist appointments in tertiary healthcare in Shanghai, China: a structured reservation pathway using digital health technologies by Li Li, Tao Zheng, Enhong Dong, Minjie Chen, Xiaojing Zhao, Binyuan Zhang, Xuji Zhao, Weijun Shao, Yiling Fan

“…The generalised linear model, enhanced with specialist and clinical department variables, showed superior predictive accuracy (67.86–68.26%) and model fit over the previous logistic model. …”
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