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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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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MLK-TR: a Multi-branch Large Kernel TRansformer for UAV-based images by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Jianjing Gao, Baoxi Yuan

“…However, due to the small size of targets captured by UAV, along with challenges such as scale variation and blurred edges, existing methods struggle to maintain high detection accuracy while ensuring efficient inference speed. …”
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Impact of plasticization temperature on the mechanical properties of sports mouthguards by Ester Stephany Rodrigues da Silva, Thales Ribeiro de Magalhães Filho, Simone Saldanha Ignácio de Oliveira, Karin de Mello Weig, Luise Gomes da Motta, Juliana Nunes da Silva Meirelles Dória Maia

“…Finally, the kitchen thermometer used proved to be efficient and practical, thanks to its easy-to-read display and wide availability on the market. …”
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Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach by Waqar Khan, Muhammad Usama, Muhammad Shahbaz Khan, Oumaima Saidani, Hussam Al Hamadi, Noha Alnazzawi, Mohammed S. Alshehri, Jawad Ahmad

“…To secure 6G-enabled WSNs, robust and efficient anomaly detection mechanisms are essential, especially for resource-constrained environments.MethodsThis paper proposes and evaluates a multi-deep learning intrusion detection framework optimized to secure WSNs in 6G-driven smart cities. …”
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Evaluation of diflubenzuron–verapamil combination strategy for eco-safe management of Aedes aegypti by Manu Sankar, Divya Yadav, Sarita Kumar

“…The surge in Aedes-borne diseases emphasizes the urgent need for efficient vector control measures. Synthetic pesticides used traditionally, however, present environmental concerns and issues like resistance development, causing the use of higher chemical doses. …”
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Taenia solium Human Cysticercosis: A Systematic Review of Sero-epidemiological Data from Endemic Zones around the World. by Marco Coral-Almeida, Sarah Gabriël, Emmanuel Nji Abatih, Nicolas Praet, Washington Benitez, Pierre Dorny

“…<h4>Methods</h4>Three databases were used to search sero-epidemiological data from community-based studies conducted between 1989 and 2014 in cysticercosis endemic communities worldwide. …”
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A single dose of inactivated influenza virus vaccine expressing COBRA hemagglutinin elicits broadly-reactive and long-lasting protection. by Hua Shi, Xiaojian Zhang, Ted M Ross

“…Moreover, this study showed that different infection methods can lead to different disease severity, which emphasizes the significance of the model selection. …”
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Communicative health literacy with physicians in healthcare services– results of a Hungarian nationwide survey by Frederico Epalanga Albano Israel, Ferenc Vincze, Róza Ádány, Éva Bíró

“…Abstract Background In an efficient and effective healthcare delivery, good communication plays an essential role. …”
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Modification of Equation for Calculating the Bond Stress Between Steel Bars and Concrete by Xiaosan Yin, Jimin Li, Shidong Tang, Yuzhou Sun, Md. Mashiur Rahman

“…The bond between steel bars and concrete is a fundamental aspect of reinforced concrete, ensuring the efficient transfer of forces between the two materials and guaranteeing their compatibility and composite action. …”
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The Learning Curve for Laparoscopic Sacrocolpopexy Based on Dissection Skills if Structured Teaching and Standardized Surgery are Applied by Studer AM, Krebs J, Brambs C, Christmann-Schmid C

“…Off-patient trainable skills like suturing and knotting led to consistent mesh fixation times from the start of the qualification process and variation arose due to in situ learnable factors.Keywords: education, urogynecology, pelvic organ prolapse, teaching…”
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Differential roof water hazards and comprehensive utilization of mine water in the Dongsheng coalfield by Haiyu HUANG, Xiang DING, Xi LIU, Jiangwei FAN, Zhuochen JI, Zhaoyang LI

“…These characteristics pose challenges to the comprehensive utilization of mine water, severely restricting the safe, green, and efficient coal mining in the coalfield. MethodsThis study aims to reveal the roof water filling characteristics of the Dongsheng coalfield and enhance the comprehensive utilization of mine water. …”
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Exploring decision-makers’ challenges and strategies when selecting multiple systematic reviews: insights for AI decision support tools in healthcare by Beverley Shea, Andrea C Tricco, Clare Ardern, Dawid Pieper, Ba Pham, Salmaan Kanji, Yuan Chi, Sera Whitelaw, Carole Lunny, Areti-Angeliki Veroniki, Nicola Ferri, Jia He (Janet) Zhang, Jasmeen Dourka, Emma K Reid, Ebrahim Bagheri

“…We aimed to understand how healthcare decision-makers (eg, practitioners, policymakers, researchers) use SRs to inform decision-making and to explore the potential role of a proposed artificial intelligence (AI) tool to assist in critical appraisal and choosing among SRs.Methods We developed a survey with 21 open and closed questions. …”
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Data-Driven Spatial Analysis of Reforestation in Pakistan: Identifying Optimal Locations for Sustainable Forest Growth and Climate Change Mitigation by Amna Faisal, Rafia Mumtaz, Muhammad Deedahwar Mazhar Qureshi, Muhammad Ali Tahir, N. Z. Jhanjhi, Mehedi Masud, Mohammad Shorfuzzaman

“…Current approaches to large-scale reforestation include considering factors like soil quality, climate, topography, and land-use history to narrow areas for reforestation. However, these methods often struggle to efficiently identify suitable land across vast and diverse landscapes, leading to suboptimal outcomes. …”
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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

“…However, it showed a significant sensitivity to variation of waste mechanical properties.…”
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Effect of solutions acidity on Haacke’s Figure of Merit of ZnO and ZnO:F thin films deposited by ultrasonic spray pyrolysis by G. Bobadilla-Barrón, A. Maldonado, M. de la L. Olvera, J. A. Zamora-Justo

“…This contrasts with other synthesis methods that require longer aging time in the precursor solution, making these findings useful for large-scale and more efficient production of transparent conductive films.…”
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Innovative Approach Integrating Machine Learning Models for Coiled Tubing Fatigue Modeling by Khalil Moulay Brahim, Ahmed Hadjadj, Aissa Abidi Saad, Elfakeur Abidi Saad, Hichem Horra

“…With the development of CT properties and modes of application, traditional fatigue life prediction methods based on analytical models integrated in the tracking process showed, in some cases, an underestimate or overestimate of the actual fatigue life of CT, particularly when complex factors like welding type, corrosive environment, and high-pressure variation are involved. …”
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Computational histology reveals that concomitant application of insect repellent with sunscreen impairs UV protection in an ex vivo human skin model by Sophie Charrasse, Titouan Poquillon, Charlotte Saint-Omer, Audrey Schunemann, Mylène Weill, Victor Racine, Abdel Aouacheria

“…Results We report the identification of a specific nuclear feature based on variation in texture information that can be used to assess skin tissue damage after oxidative stress or UV exposure. …”
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Integrating convolutional neural networks for microscopic image analysis in acute lymphoblastic leukemia classification: A deep learning approach for enhanced diagnostic precision by Md. Samiul Alim, Suborno Deb Bappon, Shahriar Mahmud Sabuj, Md Jayedul Islam, M. Masud Tarek, Md. Shafiul Azam, Md. Monirul Islam

“…The performance of our proposed technique is compared with several other methods, including VGG-16, DenseNet-121, and EfficientNetB0, as well as existing baselines, using different performance metrics. …”
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Synergistic Drivers of Vegetation Dynamics in a Fragile High-Altitude Basin of the Tibetan Plateau Using General Regression Neural Network and Geographical Detector by Yanghai Duan, Xunxun Zhang, Hongbo Zhang, Bin Yang, Yanggang Zhao, Chun Pu, Zhiqiang Xiao, Xin Yuan, Xinming Pu, Lun Luo

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