A machine learning-based risk prediction model for diabetic oral ulceration by Wang Xiaoling, Wang BingQian, Zhu Zhenqi, Li Wen, Gu Shuyan, Chen Hanbei, Xin Feng, Chenglong Yang, Jutang li, Guoyao Tang, Jie Wei

“…However, current diagnostic methods often fall short in early detection and intervention. …”
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Cinical, morphological and functional comparisons in acute period of ischemic hemispheric stroke by A. A. Kuznetsov

“…The aim of the research was the optimization of diagnostic and prognostic approaches in patients in acute period of ischemic supratentorial stroke depending on lateralization of lesion focus on the basis of clinical, computed tomography and computed electroencephalography investigations. …”
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Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence by Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

“…Abstract Background and objective Early detection and classification of skin cancer are critical for improving patient outcomes. …”
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Hypersensitive pneumonitis and cardiovascular comorbidity by A. V. Medvedev, N. G. Demyanenko, G. E. Alichubanova, S. A. Kasimtseva, M. N. Kovalevskaya, R. V. Tarasov

“…The combination of hypersensitivity pneumonitis with cardiovascular diseases significantly aggravates the course of both pathologies. Early detection of risk factors and assessment of concomitant conditions using the Charlson index allows optimizing the diagnosis and treatment of this category of patients. …”
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A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization by Mehrab Rafiq, Naif S. Alshammari, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Mohammed Alshehri, Ahmad Jalal, Hui Liu

“…The proposed system achieved an overall classification accuracy of 88.4% on the Extrasensory dataset and 86.4% on the Domino dataset, outperforming several existing state-of-the-art methods. These results highlight the effectiveness of the preprocessing pipeline and feature optimization techniques in enhancing recognition and localization performance. …”
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Cytotoxicity of L-asparaginase from eucaryotic Cladosporium species against breast and colon cancer in vitro by Dina Johar, Hamido M. Hefny, Moselhy S. Mansy, Amal A. I. Mekawey, Mohammed S. Abdulrahman, Samy Zaky

“…Submerged fermentation was employed to optimize enzyme production. The enzyme activity was quantified using the Nesslerization method, and its cytotoxicity against colon and breast cancer cell lines was assessed using the (MTT) assay. …”
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Evaluating the safety, pharmacokinetics and efficacy of phage therapy in treating fracture-related infections with multidrug-resistant Staphylococcus aureus: intravenous versus loc... by Christian Peez, Christian Peez, Baixing Chen, Baixing Chen, Baixing Chen, Leopold Henssler, Leopold Henssler, Marco Chittò, Jolien Onsea, Jolien Onsea, Michael H. J. Verhofstad, Daniel Arens, Caroline Constant, Stephan Zeiter, William Obremskey, Andrej Trampuz, Michael J. Raschke, Charalampos Zalavras, Willem-Jan Metsemakers, Willem-Jan Metsemakers, T. Fintan Moriarty

“…Further research is required to optimize phage selection, dosing, and delivery methods to enhance its therapeutic potential as an adjunct to conventional antibiotic therapy, particularly in the face of challenges such as rapid clearance and phage neutralization.…”
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Study on Fault Arc Recognition Based on Back-Propagation Neural Network by QIAO Weide

“…Through testing and comparative experimental analysis, the BP neural network model optimized by the firefly-particle swarm optimization algorithm can realize the quick and accurate fault arc identification, verify the effectiveness of the series fault arc identification method, and provide a reference for fault arc diagnosis and protection technology.…”
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Study on the correlation between mineral bone metabolism and CRP in patients with SHPT during perioperative period by Lei Yan, Qiuyue Xiong, Qin Xu, Pengru Ren, Tiantian Li, Huixia Cao, Fengmin Shao

“…Abstract Objective This study mainly observes changes in perioperative mineral bone metabolism‐related indicators and inflammatory factors in patients with secondary hyperparathyroidism (SHPT), and analyzed the correlation between mineral bone metabolism‐related indicators and inflammatory factors. Methods Clinical data were collected. The study detects mineral bone metabolism‐related indicators and inflammatory factor of perioperative patients with SHPT before and 4 days after operation. …”
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MRD4U: A path to development for personalized liquid biopsy for children with central nervous system tumors by Anthony R. Miller, Tithi Shah, Corinne N. Strawser, Adithe Rivaldi, Sarah A. Wilson, Huachun Zhong, Jocelyn M. Lucyshyn, Elizabeth AR Garfinkle, Makenna McCoy, Seth Cummins, Alejandro Otero Bravo, Peter Chang, Gregory L. Wheeler, David M. Gordon, Benjamin J. Kelly, Caitlyn Evanovich, Samara L. Potter, Elizabeth A. Varga, Diana P. Rodriguez, Richard K. Wilson, Catherine E. Cottrell, Ralph Salloum, Sara Khan, Maryam Fouladi, Elaine R. Mardis, Margot A. Lazow, Katherine E. Miller

“…Methods Our research focused on the optimization of next-generation sequencing library preparation from cell-free DNA (cfDNA), evaluating four commercial kits to address the low nucleic acid yield in CSF-derived cfDNA. …”
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Management of Chlamydia Cases in Australia (MoCCA): protocol for a non-randomised implementation and feasibility trial by Rebecca Guy, Marcus Y Chen, Basil Donovan, Jane S Hocking, Natalie Carvalho, Christopher Fairley, Claudia Estcourt, Meredith Temple-Smith, Jane Tomnay, Julie Simpson, David Regan, David Hawkes, Lena Sanci, Jane L Goller, Jacqueline Coombe, Helen Bittleston, Marion Saville, Lara Roeske

“…Introduction The sexually transmitted infection chlamydia can cause significant complications, particularly among people with female reproductive organs. Optimal management includes timely and appropriate treatment, notifying and treating sexual partners, timely retesting for reinfection and detecting complications including pelvic inflammatory disease (PID). …”
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Extraction of Pregabalin in Urine Samples Using a Sulfonated Poly(ether ether ketone) Membrane by Chanbasha Basheer

“…The developed method exhibited good linearity in the range of 0.05 to 2 µg/mL with a correlation of determination (r2) 0.9998, acceptable limits of detection, limits of quantification, and preconcentration factor of 105-fold. …”
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Separation of 1,3-Dimethylamylamine (1,3-DMAA) Stereoisomers, a Stimulant Drug, by Liquid Chromatography by Maria de Almeida Mexia de Almeida, Virgínia M. Gonçalves, Alexandra S. Maia, Diana Dias da Silva, Ricardo Jorge Dinis-Oliveira, Cláudia Ribeiro

“…Objective: To develop a semipreparative liquid chromatography with diode array detection (LC-DAD) method for separating the stereoisomers of 1,3-DMAA. …”
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Results of complex treatment of patients with locally advanced squamous cell carcinoma of the paranasal sinuses and nasal cavity using induction chemotherapy by T.   I. Dеshkina, L.  V. Bolotina, A.  R. Gevorkov, A.  V. Boyko, A.  L. Kornietskaya, A. P. Polyakov, P.   V. Golubev, R.  S. Sydykova, A. A. Fedenko

“…About 600 new cases of malignant neoplasms of the paranasal sinuses and nasal cavity are detected annually in Russia. To date, there are no randomized trials to determine the optimal treatment algorithm for this group of patients. …”
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Automatic Modal Wavefront Estimation and Correction for Optical Aberration by Xiaomin Lai, Chen Xu, Yafeng Liu, Kaihua Wei, Kaihua Wu

“…Once the aberrated wavefront has been detected, it will be automatically analyzed with a method based on one-dimensional standard polynomial fitting. …”
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Development of a two-component recombinant vaccine for COVID-19 by Yi-Sheng Sun, Fang Xu, Han-Ping Zhu, Yong Xia, Qiao-Min Li, Yuan-Yuan Luo, Hang-Jing Lu, Bei-Bei Wu, Zhen Wang, Ping-Ping Yao, Zhan Zhou, Zhan Zhou

“…Vaccination remains one of the most effective methods for preventing COVID-19. While most of the antigenic regions are found in the receptor binding domain (RBD), the N-terminal domain (NTD) of the S protein is another crucial region for inducing neutralizing antibodies (nAbs) against COVID-19.MethodsIn the two-dose immunization experiment, female BALB/c mice were intramuscularly immunized with different ratios of RBD-Fc and NTD-Fc proteins, with a total protein dose of 8 μg per mouse. …”
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Experimental and Numerical Investigation of Cyclic Grouting Compactness in Prestressed Tendon Ducts by Chulong Chen, Zeliang Yang, Shunxin Yu, Jinzhou Chen

“…Subsequently, a cyclic grouting experiment was conducted, and the grouting compactness was detected using the impact-echo method. For further study, a 2D numerical model was established, and the influence of grouting parameters on compactness was investigated. …”
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The Processing of Biological Waste from the Pharmaceutical Industry by Aleksandra Petrovic, Klemen Rola, Sven Gruber, Neža Santl, Saša Sankovic, Lidija Cucek, Darko Goricanec, Danijela Urbancl

“…Two different operating times (3.5 and 8 h) were tested under these conditions without any clogging of the membranes being detected, neither in the long nor in the short time of operation. …”
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Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study by Michael S Deiner, Russell Y Deiner, Cherie Fathy, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thomas J Bukowski, Thuy Doan, Gerami D Seitzman, Thomas M Lietman, Travis C Porco

“…Future studies should further explore LLMs’ potential to support public health monitoring through the automated assessment and classification of potential infectious eye disease or other outbreaks. Their optimal role may be to act as a first line of documentation, alerting public health organizations for the follow-up of LLM-detected and -classified small, early outbreaks, with a focus on the most severe ones.…”
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Succulent-YOLO: Smart UAV-Assisted Succulent Farmland Monitoring with CLIP-Based YOLOv10 and Mamba Computer Vision by Hui Li, Fan Zhao, Feng Xue, Jiaqi Wang, Yongying Liu, Yijia Chen, Qingyang Wu, Jianghan Tao, Guocheng Zhang, Dianhan Xi, Jundong Chen, Hill Hiroki Kobayashi

“…Additionally, we develop Succulent-YOLO, a customized target detection model optimized for succulent image classification, achieving a mean average precision (mAP@50) of 87.8% on high-resolution images. …”
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