Wear characteristics of armature surface and its thermal effects under different electromagnetic launch conditions by Luyao Liu, Hongshun Liu, Pengfei Lu, Haoxi Cong, Ali Mohammed Ali Abdo, Li Zhang, Qingquan Li

“…The optimal initial roughness range is 0.55–1.05 μm, with a wear rate of 0.21–0.25% and wear roughness of 7.91–8.31 μm. During this process, both Joule heat and frictional heat continuously increase, with the former increasing more rapidly. …”
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Baseline morbidity in 2,990 adult African volunteers recruited to characterize laboratory reference intervals for future HIV vaccine clinical trials. by Wendy Stevens, Anatoli Kamali, Etienne Karita, Omu Anzala, Eduard J Sanders, Walter Jaoko, Pontiano Kaleebu, Joseph Mulenga, Len Dally, Pat Fast, Jill Gilmour, Bashir Farah, Josephine Birungi, Peter Hughes, Olivier Manigart, Gwynn Stevens, Sarah Yates, Helen Thomson, Andrea von Lieven, Marietta Krebs, Matt A Price, Lisa Stoll-Johnson, Nzeera Ketter

“…Major reasons for screening out volunteers included abnormal findings on physical examination (228/603, 38%), significant medical history (76, 13%) and inability to complete the informed consent process (73, 13%). Once enrolled, principle reasons for exclusion from analysis included detection of Hepatitis B surface antigen (106/280, 38%) and antibodies against Hepatitis C (95, 34%). …”
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PathoGD: an integrative genomics approach to primer and guide RNA design for CRISPR-based diagnostics by Soo Jen Low, Matthew O’Neill, William J. Kerry, Natasha Wild, Marcelina Krysiak, Yi Nong, Francesca Azzato, Eileen Hor, Lewis Williams, George Taiaroa, Eike Steinig, Shivani Pasricha, Deborah A. Williamson

“…Abstract Critical to the success of CRISPR-based diagnostic assays is the selection of a diagnostic target highly specific to the organism of interest, a process often requiring iterative cycles of manual selection, optimisation, and redesign. …”
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Specific Staining of Muscle Cytoskeletal Proteins in Litopenaeus vannamei and Their Role in Textural Deterioration during Refrigeration by CAI Peifeng, LIAO Weilong, FENG Jun, HU Li, LI Caihong, XU Defeng

“…To clarify the key material basis for the rapid softening of shrimp muscle during refrigeration, this study established a specific histological detection method for cytoskeletal proteins and analyzed the correlation between the degradation of cytoskeletal proteins and texture deterioration. …”
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UTSFANet: Unsupervised Two-Stage Fine Adjustment Network for Infrared Remote Sensing Image Stitching by Pengfei Zhang, Jinnan Gong, Tianjun Shi, Guangzhen Bao, Zhile Wang, Shikai Jiang

“…Finally, in the second stage, an image fine adjustment module is applied to process the image background and foreground, further eliminating parallax artifacts and improving registration accuracy. …”
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Enhancing Arrhythmia Diagnosis Through ECG Deep Learning Classification Deploying and Augmented Reality 3D Heart Visualization and Interaction by Kahina Amara, Mohamed Amine Guerroudji, Oussama Kerdjidj, Nadia Zenati, Shadi Atalla, Naeem Ramzan

“…Electrocardiography (ECG) is a vital diagnostic tool for detecting and monitoring various heart conditions by analysing the heart’s electrical activity; however, manually identifying ECG features and classifying heartbeats is a complex and time-consuming process that demands significant expertise. …”
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The problem of rare tumors in gynecology: a clinical case of benign retroperitoneal sclerosing pelvic pecoma in 49-year-old woman by V. I. Lanchinsky, Yu. V. Chushkov, A. B. Ponomarev, Yu. I. Osmanov, A. I. Ishchenko, N. V. Vorobev

“…But a retroperitoneal tumor originating from the uterine vein was detected during the surgery. The diagnosis of sclerosing pecoma was established by histological and immunohistochemical studies. …”
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Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review by Wei Chen, Monisha Dhawan, Jonathan Liu, Damie Ing, Kruti Mehta, Daniel Tran, Daniel Lawrence, Max Ganhewa, Nicola Cirillo

“…AI‐based image analysis was use in several components of the clinical decision‐making process, including diagnosis, detection or classification, prediction, and management. …”
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HAEMAGGLUTINATION TECHNIQUES TO EVALUATE SPECIFIC SAFETY OF HUMAN INTRAVENOUS IMMUNOGLOBULINS by O. G. Kornilova, E. V. Paramonova, A. V. Nechaev, E. Yu. Kudasheva, I. V. Borisevich, N. I. Kishkurno

“…Various modifications of the methods are discussed, thus allowing to optimize process of quality control for these preparations based on detection of haemagglutinins and anti-D antibodies. …”
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KLF13 promotes ferroptosis and chemosensitivity in lung adenocarcinoma by Haochun Shi, Binyang Pan, Gujie Wu, Jiaqi Liang, Yunyi Bian, Guangyao Shan, Shencheng Ren, Guoshu Bi, Cheng Zhan, Weigang Guo

“…Results We conducted RNA sequencing on lung adenocarcinoma cells treated with ferroptosis inducers and found that the expression level of KLF13 changed during ferroptosis, suggesting its potential involvement in this process. Subsequently, we generated stable cell lines overexpressing and knocking down KLF13. …”
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Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…Additionally, it effectively reduces the inherent overfitting of these methods, removing the necessity for a complex hyperparameter selection process.…”
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A Real-Time Approach for Assessing Rodent Engagement in a Nose-Poking Go/No-Go Behavioral Task Using ArUco Markers by Thomas Smith, Trevor Smith, Fareeha Faruk, Mihai Bendea, Shreya Kumara, Jeffrey Capadona, Ana Hernandez-Reynoso, Joseph Pancrazio

“…Overall, this approach streamlines the process of behavioral scoring, enhancing both the scalability and reproducibility of behavioral neuroscience research. …”
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LncRNA PVT1 Promotes Cell Proliferation, Invasion, and Migration and Inhibits Cell Apoptosis by Phosphorylating YAP by Kaiyue Ji, Qi Zhang, Wen Song, Tao Mao, Jing Guo, Congcong Min, Cuiping Zhang, Zibin Tian, Xiaoyu Li

“…Furthermore, knockdown of PVT1 downregulated YAP and promoted phosphorylation of YAP, suggesting that PVT1 exerts actions on GC cells by targeting YAP and inhibits cell apoptosis in vitro. The EMT process was also inhibited by the knockdown of PVT1. …”
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Design and Measurement of Ring-Gate Single Photon Avalanche Diode With Low Dark Count Rate by Yang Wang, Xiangliang Jin, Shengguo Cao, Yan Peng, Jun Luo

“…Single photon avalanche diodes (SPAD) based on avalanche effect have been widely used in the detection of extremely weak light signals. Conventional SPAD devices manufactured with silicon-based CMOS technology have a high dark count rate (DCR), making it difficult to accurately detect single photon signals. …”
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Identifying Potential New Gene Expression-Based Biomarkers in the Peripheral Blood Mononuclear Cells of Hepatitis B-Related Hepatocellular Carcinoma by Vahdat Poortahmasebi, Ahmad Nejati, Mohammad Foad Abazari, Mohsen Nasiri Toosi, Azam Ghaziasadi, Nader Mohammadzadeh, Ahmad Tavakoli, Azam Khamseh, Navid Momenifar, Omid Gholizadeh, Mehdi Norouzi, Seyed Mohammad Jazayeri

“…This study provides us with new horizons into the biological process and potential prospective clinical diagnosis and prognosis of HCC in the near future.…”
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Synthesis of Silver Nanoparticles Using Azadirachta indica Leaf Extracts for Heavy Metal Sensing by Abidemi Mercy Babatimehin, Gabriel Olukayode Ajayi, Oyebola Elizabeth Ogunbamowo, Ali El-Rayyes, Lamia A. Albedair, Amnah Mohammed Alsuhaibani, Edwin Andrew Ofudje

“…The synthesized silver nanoparticles showed excellent optical property towards the selected heavy metals with virtual color change and a shift in absorbance towards higher value. Selective detection of Pb2+, Cu2+ and Cd2+ was also confirmed by UV-visible spectra which is well pronounced with Pb2+ having the highest absorbance.…”
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Dynamic cross-domain transfer learning for driver fatigue monitoring: multi-modal sensor fusion with adaptive real-time personalizations by S. S. Aravinth, G. Muni Nagamani, Chanumolu Kiran Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, A. Bhowmik, Wahaj Ahmad Khan

“…Current models of fatigue detection suffer from domain-specific limitations in generalizing across diverse environments, sensor variability, and individual differences. …”
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A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks by Xiping Ma, Wenxi Zhen, Haodong Ren, Guangru Zhang, Kai Zhang, Haiying Dong

“…A multi-type fault dataset is generated using the Matpower toolbox, and model training is evaluated using K-fold cross-validation. The training process is optimized through early stopping mechanisms and learning rate scheduling. …”
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A Pythagorean Fuzzy Multigranulation Probabilistic Model for Mine Ventilator Fault Diagnosis by Chao Zhang, Deyu Li, Yimin Mu, Dong Song

“…To guarantee the better reliability, safety, and economy of mine ventilators, in view of early detection and effective fault diagnosis of mechanical faults which could prevent unscheduled downtime and minimize maintenance fees, it is imperative to construct some viable mathematical models for mine ventilator fault diagnosis. …”
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Metagenomics and Non‐Targeted Metabolomics Reveal the Role of Gut Microbiota and Its Metabolites in Brain Metastasis of Non‐Small Cell Lung Cancer by Chen‐Guang Liu, Mei‐Xi Lin, Yu Xin, Man Sun, Jia Cui, Dan Liu, Dan Zang, Jun Chen

“…These changes were linked to the metastatic process and may influence brain metastasis development. …”
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