Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

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BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method by Shaohui Liang, Yingkui Wang, Shuxin Chen

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Gender-Inclusive Language in Public-Facing Labor and Delivery Web Pages in the New York Tristate Area: Cross-Sectional Study by Sarah Mohsen Isaac, Mark Dawes, Emily Ruth Howell, Antonia Francis Oladipo

“…The hospitals’ web pages were further stratified by Healthcare Equality Index scores and population classifications defined by the 2013 National Center for Health Statistics Urban-Rural classification given to the county that each hospital was located in. …”
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Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

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Simultaneous Bilateral Proximal Humerus Fractures Treated with Single-Stage Bilateral Reverse Shoulder Arthroplasty by Taiki Tokuhiro, Atsushi Urita, Yusuke Kameda, Makoto Motomiya, Naoya Watanabe, Norimasa Iwasaki

“…The right side fracture was classified as a four-part fracture and the left side fracture as a three-part fracture, according to Neer’s classification. The right shoulder had a risk of avascular necrosis of the humeral head. …”
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A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture by Rashadul Islam Sumon, Haider Ali, Salma Akter, Shah Muhammad Imtiyaj Uddin, Md Ariful Islam Mozumder, Hee-Cheol Kim

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Adverse drug event detection using natural language processing: A scoping review of supervised learning methods. by Rachel M Murphy, Joanna E Klopotowska, Nicolette F de Keizer, Kitty J Jager, Jan Hendrik Leopold, Dave A Dongelmans, Ameen Abu-Hanna, Martijn C Schut

“…Most frequent tasks included named entity recognition (n = 17; 58.6%) and relation extraction/classification (n = 15; 51.7%). …”
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CSTrans: cross-subdomain transformer for unsupervised domain adaptation by Junchi Liu, Xiang Zhang, Zhigang Luo

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University digital media co-occurrence networks reveal structure and dynamics of brand visibility in the attention economy by Alexander Michael Petersen

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The Role of Mechanical Mixing and Biologically Active Additives in Enhancing Cutlet Quality by Tetiana Prylipko, Tetiana Koval, Volodymyr Kostash, Volodymyr Tkachuk, Vita Kostash

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Simulation Study of Deep Belief Network-Based Rice Transplanter Navigation Deviation Pattern Identification and Adaptive Control by Xianhao Duan, Peng Fang, Neng Xiong, Muhua Liu, Xulong Wu, Li Fu, Zhaopeng Liu

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A Radar-Based System for Detection of Human Fall Utilizing Analog Hardware Architectures of Decision Tree Model by Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis

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Predictors of Major Bleeding and Mortality in Dengue Infection: A Retrospective Observational Study in a Tertiary Care Centre in South India by Kevin John John, Karthik Gunasekaran, John Davis Prasad, Divya Mathew, Sohini Das, N. Sultan, Asha Mary Abraham, Ramya Iyyadurai

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Superfoods: exploring sustainability perspectives between nutrient synthesizers and accumulators by G. Santunione, G. Montevecchi, G. Montevecchi

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Effectiveness and safety of percutaneous endoscopic debridement and drainage for spinal infections: a systematic review and meta-analysis by Guozhong Zhou, Xiaorong Liu, Zhi Liang, Xuesong Chen, Chao Song

“…The rates of excellent or good MacNab classification were 92.6% (95% CI 84.1–98.1%). Microbiological diagnostics revealed a 71.7% (95% CI 65.5–77.6%) positive rate in tissue cultures, surpassing blood cultures (odds ratio [OR] 2.72 [95% CI 1.01–7.30]). …”
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Impacts of drought on respiratory mortality in the upper midwest United States: a population subgroup assessment by Yeongjin Gwon, Yuanyuan Ji, Jesse D Berman, Azar M Abadi, Ronald D Leeper, Jared Rennie, Jesse E Bell

“…Respiratory mortality was obtained for each county and month during study period based on the 10th International Classification of Disease codes. We used the Evaporative Demand Drought Index categorized into three levels and analyzed it at two timescales: 6 months and 12 months. …”
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Differentiation of high risk prostate cancer with a facile urinary exosome detection workflow by Shuai Qiu, Yue Li, Zheng Zhang, Chunchang Li, Haoyu Wang, Ao Chen, Zhi Yan, Yang Liu, Zifei Li, Hua Huang, Yi Liu, Yiqi Seow, Ruibing Chen, Jinhong Guo, Simeng Wen, Jing Tian, Hongtuan Zhang, Ranlu Liu, Gang Han, Baolong Wang, Yong Wang, Yuanjie Niu, HaiFang Yin

“…Importantly, a prostate cancer urinary EVLatch-based artificial intelligence diagnostics (PURE-AID) classification system utilizing PCA3, HOXC6, and DLX1 as targets with SPDEF for reference and EEF1A1 for quality checking, trained on 271 patients, achieved an area under the receiver operating characteristic curve (AUROC) of 0.76 in the test set of 351 patients. …”
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Fibrocyte enrichment and myofibroblastic adaptation causes nucleus pulposus fibrosis and associates with disc degeneration severity by Yi Sun, Yan Peng, Zezhuo Su, Kyle, K. H. So, Qiuji Lu, Maojiang Lyu, Jianwei Zuo, Yongcan Huang, Zhiping Guan, Kenneth M. C. Cheung, Zhaomin Zheng, Xintao Zhang, Victor Y. L. Leung

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Efficacy of Neoadjuvant Chemotherapy with Capecitabine plus Oxaliplatin in the Treatment of Locally Advanced Sigmoid Colon Cancer Invading the Urinary Bladder: A Report of Three Ca... by Tsutomu Takenami, Shingo Tsujinaka, Jun Takahashi, Sawako Tamaki, Ryo Maemoto, Rintaro Fukuda, Hideki Ishikawa, Nao Kakizawa, Fumi Hasegawa, Rina Kikugawa, Yasuyuki Miyakura, Koichi Suzuki, Akira Tanaka, Toshiki Rikiyama

“…The final diagnosis was ypStage 0 (ypT0ypN0M0). Case 3: after 6 courses of chemotherapy with CAPOX plus bevacizumab, we performed sigmoid colectomy and partial resection of the bladder. …”
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Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia by O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin

“…The study included 75 patients: 52 % men (mean age 44.5 ± 17.8 years) and 48 % women (mean age 45.6 ± 16.6 years,) with a preliminary diagnosis of achalasia. …”
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