Analysis of the characteristic patterns and risk factors impacting the severity of intraoperative hypothermia in neonates by Kun Dai, Yuanling Liu, Lijiao Qin, Jiaxuan Mai, Jingjing Xiao, Jing Ruan

“…A comprehensive analysis of intraoperative details, including medical history and monitoring, is therefore essential for understanding temperature variations and identifying risk factors for severe hypothermia. …”
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Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

“…Analyses of the rapidly expanding cache of environmental and ecological data, however, require advanced statistical methods to contend with complexities inherent to extremely large natural data sets. …”
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A Multi-Scale Fusion Convolutional Network for Time-Series Silicon Prediction in Blast Furnaces by Qiancheng Hao, Wenjing Liu, Wenze Gao, Xianpeng Wang

“…However, due to the dynamic nature and inherent delays of the ironmaking process, real-time prediction of silicon content remains a significant challenge, and traditional methods often suffer from insufficient prediction accuracy. …”
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The Impact of Green Taxation on Sustainable Economic Development in the European Union by Valentin Marian Antohi, Costinela Fortea, Monica Laura Zlati, Marius Sorin Dinca

“…The study analyses the impact of green taxation on sustainable economic development in the European Union, using econometric multiple linear regression methods applied to a dataset for the 27 Member States covering the period 2010-2022. …”
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Developing the Digital Health Communication Maturity Model: Systematic Review by Grace Jeonghyun Kim, Kang Namkoong

“…Quantitative analysis showed substantial variations in communication metrics, with satisfaction metrics incorporated at an average rate of 22% (7/31) across the reviewed models. …”
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Latent spectral-spatial diffusion model for single hyperspectral super-resolution by Yingsong Cheng, Yong Ma, Fan Fan, Jiayi Ma, Yuan Yao, Xiaoguang Mei

“…Subsequently, the diffusion model undergoes efficient optimization through a variant of the variational bound on the data likelihood. …”
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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…BackgroundManaging chronic viral infections like Hepatitis C virus (HCV) often requires expensive healthcare resources and highly qualified personnel, making efficient diagnostic methods essential. Despite remarkable therapeutic advancements for the treatment of HCV, several challenges remain, such as improved fast diagnostic procedures allowing universal screening.ObjectiveWe propose a novel approach that combines Near-Infrared Spectroscopy (NIRS) and clinical data with machine learning (ML) to improve Hepatitis C Virus (HCV) detection in serum samples.MethodsNIRS offers a fast, non-destructive, and residue-free alternative to traditional diagnostic methods, while ML models enable feature selection and predictive analysis. …”
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Transformer and Attention-Based Architectures for Segmentation of Coronary Arterial Walls in Intravascular Ultrasound: A Narrative Review by Vandana Kumari, Alok Katiyar, Mrinalini Bhagawati, Mahesh Maindarkar, Siddharth Gupta, Sudip Paul, Tisha Chhabra, Alberto Boi, Ekta Tiwari, Vijay Rathore, Inder M. Singh, Mustafa Al-Maini, Vinod Anand, Luca Saba, Jasjit S. Suri

“…<b>Findings:</b> Because of its capacity to automatically extract features at numerous scales in encoders, rebuild segmented pictures via decoders, and fuse variations through skip connections, the UNet and transformer-based model stands out as an efficient technique for segmenting coronary walls in IVUS scans. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…Optimization can efficiently achieve various objective functions in power systems. …”
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Visualization of FDA Adverse Drug Reaction Reports: Development and Usability Study of the VisDrugs Web Server by Renjun Yang, Nuoya Yin, Yang Zhang, Francesco Faiola

“…By visualizing and comparing ADRs, it helps researchers and health care providers assess drug safety efficiently. The platform’s demographic analysis features add insights into ADR variations by age and gender, supporting drug safety research. …”
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Introducing the concept of “resource scapes” to account for water, energy and biomass resources’ nexus dependencies and governance by Zeeshan Tahir Virk, Jessica Fennell, Ali Torabi Haghighi, Bjorn Klove

“…Existing methods for resource nexus analysis do not cover all aspects of complex resource management problems. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…Conventional methods like oven drying are destructive, time-consuming, and unsuitable for real-time assessment. …”
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Rice Variety Identification Based on Transfer Learning Architecture Using DENS-INCEP by Wahyudi Agustiono, Kurniawan Eka Permana, Caroline Chan, Deshinta Arrova Dewi, Moch. Miftachur Rifqi Al Husain

“…However, traditional manual methods of identification, relying on visual characteristics, are prone to human error, resulting in variety mixing, reduced quality, and higher costs. …”
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Development of an Ion‐Sensitive Field‐Effect Transistor Device for High‐Performance Diagnostic and Clinical Biomedical Applications by M. Duraisamy, M. Thangavel, S. Lalitha, K. Jayaram, S. Kumarganesh, K. Martin Sagayam, Binay Kumar Pandey, Digvijay Pandey, Suresh Kumar Sahani

“…This paper details the design and implementation of an ISFET‐based device tailored specifically for efficient and reliable ion detection in biomedical settings. …”
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Impacts of Ecological Restoration Projects on Ecosystem Carbon Storage of Tongluo Mountain Mining Area, Chongqing, in Southwest China by Lei Ma, Manyi Li, Chen Wang, Hongtao Si, Mingze Xu, Dongxue Zhu, Cheng Li, Chao Jiang, Peng Xu, Yuhe Hu

“…This hybrid approach overcame the limitations of traditional plot-based methods by providing spatially explicit, cost-effective monitoring solutions for mining ecosystems. …”
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Comparison of LGE-MRI and Local Impedance Data Recorded in Human Left Atria by Stolte Franziska Sophia, Martínez Antón Carmen, Invers Rubio Eric, Guasch Eduard, Mont Lluís, Dössel Olaf, Loewe Axel

“…Efficient personalized ablation strategies for treating atrial arrhythmias remain challenging. …”
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Dynamics of Nocturnal Evapotranspiration in a Dry Region of the Chinese Loess Plateau: A Multi-Timescale Analysis by Fengnian Guo, Dengfeng Liu, Shuhong Mo, Qiang Li, Fubo Zhao, Mingliang Li, Fiaz Hussain

“…The results showed the following: (1) In contrast to the non-significant trend in <i>ETN</i> on the diurnal and daily scales, monthly <i>ETN</i> dynamics exhibited two peak fluctuations during the growing season. (2) The contribution of <i>ETN</i> to <i>ET</i> exhibited seasonal characteristics, being relatively low in summer, with interannual variations ranging from 10.9% to 14.3% and an annual average of 12.8%. (3) The half-hourly <i>ETN</i>, determined by machine learning methods, was driven by a combination of factors. …”
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Hyperspectral imaging-driven deep learning approach: Asymptomatic stage detection and severity grading of tomato yellow leaf curl disease by Junzhi Chen, Wenshan Zhong, Xuejun Yue, Ziyu Ding, Mengdan Du, Xuantian Li, Biao Chen, Haifeng Li, ZiFu He, Xiaoman She, Yafei Tang

“…The prolonged asymptomatic infection period and non-distinct early symptoms of TYLCD impose limitations on traditional detection methods, whereas hyperspectral imaging technology, capable of capturing rich spectral and spatial features, provides a technical foundation for early lesion identification and dynamic disease progression monitoring. …”
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Inter- and intra-bacterial strain diversity remains the “elephant in the (living) room” by Adam Valcek, Carsten Kröger, Rubén de Dios, Ronan R. McCarthy, Tom Coenye, M. Stephen Trent, Nabil Karah, Bernt Eric Uhlin, Annika Y. Classen, Paul G. Higgins, Ingo Ebersberger, Maria-Halima Laaberki, Xavier Charpentier, Paolo Visca, Philip N. Rather, Charles Van der Henst

“…In addition, the current strain designation methods do not allow efficient communication about such differences. …”
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Modulating ultrasound-assisted extraction of polysaccharide-protein complexes from β-glucan-rich medicinal mushrooms for enhanced antioxidant activity by Emily Wan Ting Tam, Yi Ching Cheung, Wesley Chin Ho Lung, Ching Ching Hui, William W.Y. Lam, Stella Siu Mui Ng, Franklin Wang Ngai Chow

“…The growing nutraceutical interest in polysaccharide-protein complexes (PSPs) from β-glucan-rich medicinal mushrooms necessitates efficient extraction methods. This study examined the impact of various ultrasound-assisted extraction (UAE) parameters, including ultrasound power, temperature, mushroom particle size, and solid-to-liquid ratio, on the composition and antioxidant activities of PSPs extracts from Lentinula edodes (L. edodes) and Grifola frondosa (G. frondosa). …”
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