YOLOv5-MDS: Target Detection Model for PCB Defect Inspection Based on YOLOv5 Integrated With Mamba Architecture by Deming Guo, Qi Xi, Long Zhang, Jing Wang, Yilong Ye, Ziyi Zeng

“…To address this issue, YOLOv5-MDS has been proposed, a convolutional neural network (CNN) specifically designed for image segmentation and classification. This model is derived from and enhanced on the YOLOv5 model. …”
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Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records by Ioannis Koutroulis, Tom Velez, Tony Wang, Seife Yohannes, Jessica E. Galarraga, Joseph A. Morales, Robert J. Freishtat, James M. Chamberlain

“…Using International Classification of Diseases (ICD)‐9 and ICD‐10 discharge codes, 151 patients were identified with a sepsis continuum diagnosis that included septicemia, sepsis, severe sepsis, and septic shock. …”
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Efficacy of transrectal ultrasonography (TRUS) in preoperative staging of rectal cancer by Pavlović-Marković Aleksandra, Barišić Goran, Ninčević Jelena, Milovanović Tamara, Garalejić Elijana, Stojković-Lalošević Milica, Krivokapić Zoran

“…There are several classification systems used to describe the extent of the disease. …”
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Applying Canny edge detection and Hough transform algorithms to identify irrigation channel boundaries in irrigation districts by LU Hongfei, MAO Hanyu, ZHOU Hao, ZHEN Bo, ZHONG Yao, YANG Bo

“…A novel boundary classification method, based on reference lines and vertical distance metrics, was developed to distinguish channel boundaries. …”
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Biventricular dysfunction predicts mortality in ST elevation myocardial infarction patients with cardiogenic shock by Angga Dwi Prasetyo, Hendry Purnasidha Bagaswoto, Firandi Saputra, Erika Maharani, Budi Yuli Setianto

“…Based on The Society for Cardiovascular Angiography and Intervention classification, we analyzed data from November 2021 to September 2023 at Dr. …”
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Presence of erosions is not a risk factor for the development of knee OA in a hand OA population: Results from the Framingham OA study by T. Vanhaverbeke, G. Miller, N.C. Ukonu, R. Wittoek, I.K. Haugen, D. Felson

“…Results: In total, 2367 participants were studied. Hand classification (hand OA-free, non-erosive and erosive hand OA) significantly impacted the prevalence of knee OA (P ​< ​0.0001). …”
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An association between cancer type and delirium incidence in Japanese elderly patients: A retrospective longitudinal study by Kentaro Yamato, Ai Ikeda, Motoki Endo, Ronald Filomeno, Kosuke Kiyohara, Ken Inada, Katsuji Nishimura, Takeshi Tanigawa

“…Delirium was defined by the World Health Organization's International Statistical Classification of Diseases and Related Health Problems (ICD‐10) codes or antipsychotic medication use. …”
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Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study by Nobuyuki Shoji, Kazutaka Kamiya, Yuji Ayatsuka, Yudai Kato, Fusako Fujimura, Masahide Takahashi, Yosai Mori, Kazunori Miyata

“…Objective To evaluate the diagnostic accuracy of keratoconus using deep learning of the colour-coded maps measured with the swept-source anterior segment optical coherence tomography (AS-OCT).Design A diagnostic accuracy study.Setting A single-centre study.Participants A total of 304 keratoconic eyes (grade 1 (108 eyes), 2 (75 eyes), 3 (42 eyes) and 4 (79 eyes)) according to the Amsler-Krumeich classification, and 239 age-matched healthy eyes.Main outcome measures The diagnostic accuracy of keratoconus using deep learning of six colour-coded maps (anterior elevation, anterior curvature, posterior elevation, posterior curvature, total refractive power and pachymetry map).Results Deep learning of the arithmetical mean output data of these six maps showed an accuracy of 0.991 in discriminating between normal and keratoconic eyes. …”
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Multi-sensor near-realtime burnt area monitoring using a superpixel-based graph convolutional network approach by Michael Nolde, Moritz Rösch, Torsten Riedlinger, Hannes Taubenböck

“…The proposed methodology combines a superpixel segmentation algorithm with rule-based and deep learning classification techniques to accurately derive burnt areas (BA) in NRT. …”
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Biases from Oxford Nanopore library preparation kits and their effects on microbiome and genome analysis by Ziming Chen, Chian Teng Ong, Loan To Nguyen, Harrison J. Lamb, O. González-Recio, M. Gutiérrez-Rivas, Sarah J. Meale, Elizabeth M. Ross

“…Due to longer reads, ligation kits showed increased taxonomic classification efficiency compared to the rapid protocols. …”
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Identifying Substance Use and High-Risk Sexual Behavior Among Sexual and Gender Minority Youth by Using Mobile Phone Data: Development and Validation Study by Mehrab Beikzadeh, Ian W Holloway, Kimmo Kärkkäinen, Chenglin Hong, Cory Cascalheira, Elizabeth S C Wu, Callisto Boka, Alexandra C Avendaño, Elizabeth A Yonko, Majid Sarrafzadeh

“…We used Scikit-learn to train logistic regression and gradient boosting classification models with simple linear model specification to predict participants' substance use and sexual behaviors (ie, condomless anal sex, number of sexual partners, and methamphetamine use), which were validated using self-report questionnaires. …”
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Using morphological measurements to predict subspecies of Midcontinent sandhill cranes by Jay A. VonBank, David A. Brandt, Aaron T. Pearse, David B. Wester, Bart M. Ballard

“…ABSTRACT The Midcontinent population of sandhill cranes (Antigone canadensis) has historically been classified into 3 putative subspecies, but genetic analyses have identified only 2 genetically distinct subspecies. …”
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Outcomes and Resource Utilization Associated With Readmissions After Atrial Fibrillation Hospitalizations by Byomesh Tripathi, Varunsiri Atti, Varun Kumar, Vamsidhar Naraparaju, Purnima Sharma, Shilpkumar Arora, Ewelina Wojtaszek, Radha Gopalan, Konstantinos C. Siontis, Bernard J. Gersh, Abhishek Deshmukh

“…Methods and Results The Nationwide Readmission Database (2010–2014) was queried using the International Classification of Diseases, Ninth Revision (ICD‐9) codes to identify study population. …”
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Macroplastic Characteristics and Assessment of the Plastic Abundance Index (PAI) of Beach Sediments in Prigi Bay, East Java, Indonesia by Adinda P.A. Nevandhra, Seftiawan S. Rijal, Syarifah H.J. Sari, Defri Yona

“…The average abundance in the foreshore area was 0.71±0.21 items m-² and 2.47±0.78 g m-², whereas that in the backshore area was significantly greater, at 1.59±0.40 items m-² and 3.32 ±2.39 g m-². According to the PAI classification, the foreshore exhibited 'High Abundance' (PAI 4.1–8), whereas the backshore was categorized as 'Very High Abundance' (PAI > 8). …”
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The mediating role of body mass index in the association between unprocessed or minimally processed foods and gallstones by Chenyu Jiang, Luqi Zhu, Xiaosheng Teng, Hongxun Wen, Zhenjun Yu, Weiwei Yang, Yaojian Shao

“…MPF intake was assessed according to the NOVA classification system. Survey-weighted logistic regression, restricted cubic spline models, and mediation analyses were employed to evaluate the association between MPF consumption and gallstones disease.ResultsAmong 11,779 U.S. adults, 1,303 cases of gallstones disease were identified (weighted prevalence: 9.8%). …”
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Comparative efficacy of glioma treatment strategies: an umbrella review of meta-analyses by Erming Yang, Yao Yang, Yixuan Gao, Xinru Liu, Xuanyu Liu, Xiaowen Zong, Jun Li

“…Two authors independently evaluated each meta-analysis for methodological quality using the AMSTAR tool, following established evidence classification guidelines.Results This study evaluated 68 meta-analyses and 389 outcomes from 4,243 articles, classifying 193 outcomes as ‘very low’ quality, 96 as ‘low’ quality, 28 (7.2%) as ‘high’ quality, and 72 (18.5%) as ‘moderate’ quality, 156 as NS, 231 (59.4%) as Class IV, and 2 (0.005%) as Class III, respectively. …”
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Optimizing respiratory care: clinical pharmacist interventions in respiratory tract infection management at a tertiary teaching hospital by Chandrashekhar Mallikarjun Patil, Princy Domnic Dsouza, Sai Phalguna Prakash Chitralu, Vinod Ashok Koujalagi, Agadi Hiremath Viswanatha Swamy, Sanatkumar Bharamu Nyamagoud

“… Respiratory tract infections (RTIs) are prevalent in India, affecting approximately 11.3% of the population. India leads globally in lung disease mortality, including chronic obstructive pulmonary disease and asthma, contributing significantly to disability-adjusted life years and mortality rates. …”
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Microstructure analysis and mechanical parameter estimation of sanding dolomite by Fengnian Wang, Fengnian Wang, Fengnian Wang, Fengnian Wang, Zewei Li, Zewei Li, Yongxiang Shi, Yongxiang Shi, Xiaowen Gong, Yanjie Zhang

“…Based on the improved Hoek-Brown strength criterion, the cohesion of strong sanding dolomite is 0.34∼0.71 MPa, the internal friction Angle is 38.59∼50.96°, the uniaxial compressive strength is 3∼15.41 MPa, and the cohesion of severe sanding dolomite is 0.086∼0.17 MPa, the internal friction Angle is 16.17∼19.08°, the uniaxial compressive strength is 0.88–1.67 MPa. …”
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Smart plant disease diagnosis using multiple deep learning and web application integration by Ahmed M.S. Kheir, Anis Koubaa, Vinothkumar Kolluru, Sudeep Mungara, Til Feike

“…This platform enables real-time plant disease diagnosis with high confidence, identifying conditions such as rust (85.3 % confidence) and healthy leaves (90.2 % confidence). …”
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Petrogenesis Research of Basic Rock in the Hongliugou Area of the Altun Orogen Based on Baddeleyite Chronology and Whole-Rock Geochemical Analyses by Yanguang LI, Jinjing HUO, Guochao SUN, Meng LI

“…The Zr/Sm ratio ranges from 26 to 33, and the Zr/Y ratio from 3.2 to 5.5, reflecting the elemental characteristics typical of intraplate basalt. …”
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