A study on the classification of coastal wetland vegetation based on the Suaeda salsa index and its phenological characteristics by Weicheng Huang, Xianyun Fei, Weiwei Yang, Zhen Wang, Yajun Gao, Hong Yan

“…In order to demonstrate the efficacy of the constructed vegetation indices, this study employed both the NDVI and the existing Suaeda salsa Vegetation Index (SSVI) to calculate the phenological metrics for classification purposes. The results showed that: (1) The classification results of the phenological metrics using any of the S. salsa indices were significantly better than those of the NDVI, with RSSI being the best, with the accuracy of S. salsa being improved by 10 % for the producers and 30 % for the users, and the overall accuracy being improved by 13 %, the Kappa coefficient increased by 0.19. (2) The results of RSSI(1) and SSVI were more consistent with each other, with the overall accuracy increased by 10 % and the Kappa coefficient increased by 0.14. (3) When the combination of phenological metrics obtained from four vegetation indices was used for classification, the results were slightly better than those of a single vegetation index, with the overall accuracy increasing by 2 % and the Kappa coefficient increasing by 0.03. …”
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Exploring Chronic Pain in Hemodialysis Patients: An Observational Study Based on the New IASP Classification for ICD-11 by Vittorio Schweiger, Martina Cacciapuoti, Marta Nizzero, Salvatore Simari, Gianmarco Lombardi, Leonardo Gottin, Lisa Stefani, Alvise Martini, Giustino Varrassi, Gabriele Finco, Enrico Polati, Giovanni Gambaro

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Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records by Judit M. Wulcan, Kevin L. Jacques, Mary Ann Lee, Samantha L. Kovacs, Nicole Dausend, Lauren E. Prince, Jonatan Wulcan, Sina Marsilio, Stefan M. Keller

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Genetic Factors and the Risk of Periodontitis Development: Findings from a Systematic Review Composed of 13 Studies of Meta-Analysis with 71,531 Participants by Maélson Klever da Silva, Antonio Carlos Gonçalves de Carvalho, Even Herlany Pereira Alves, Felipe Rodolfo Pereira da Silva, Larissa dos Santos Pessoa, Daniel Fernando Pereira Vasconcelos

“…Three examiners extracted data from articles with a clear association between polymorphisms in the inflammatory mediator gene and the development of periodontitis through meta-analysis using the fixed or randomized statistical models to calculate the Odds Ratio with values of P<0.05 considered significant. Results. A total of 13 meta-analysis articles with 25 polymorphisms in seven interleukins (IL-1A, IL-1B, IL-4, IL-6, IL-8, IL-10, and IL-18), three cellular receptors (Fcγ receptors: FCGR2A, FCGR3A, and FCGR3B), and five inflammatory mediators (COX-2, MMP-2, MMP-3, MMP-8, and MMP-9), with a total of 71,531 participants, approaching different classifications of the disease. …”
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Automatic Multi-Temporal Land Cover Mapping with Medium Spatial Resolution Using the Model Migration Method by Ruijun Chen, Xidong Chen, Yu Ren

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Evaluation of the Frequency and Pathological Diagnosis of Vulvar Lesions Is it Associated with Vulvar Pruritus - If So, How Closely? by Omer Demir, Mirac Ozalp, Turhan Aran, Mehmet Armagan Osmanagaoğlu

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Rehabilitation diagnosis of patients with mine-explosive wounds of the lower leg based on the international classification of functioning, disability and health by O.E. Dorofieieva, K.S. Yarymbash, O.A. Glinyana, Yu.V. Syomych, I.T. Skrypchenko

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A novel ViT-BILSTM model for physical activity intensity classification in adults using gravity-based acceleration by Lin Wang, Zizhang Luo, Tianle Zhang

“…ANOVA showed no significant accuracy variation across PAIs (F = 2.18, p = 0.13) and TW (F = 0.52, p = 0.72). Accuracy and loss curves show the model consistently improves its performance across epochs, demonstrating its excellent robustness. …”
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Comparison of the performance of three classification criteria for Behçet's Disease in a single centre cohort from South India by Vishnu S Chandran, Suma Balan

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Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia by W. A. Barragán-Hernández, L. Mahecha-Ledesma, J. Angulo-Arizala, M. Olivera-Angel

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Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury by Keri Anderson, Sebastian Stein, Ho Suen, Mariel Purcell, Maurizio Belci, Euan McCaughey, Ronali McLean, Aye Khine, Aleksandra Vuckovic

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Research on VHF Band Signal Modulation Classification and Recognition Methods Based on Algorithm of First-Order Cyclic Moment by Faquan Yang, Zan Li, Zhongliang Luo

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Experimental Investigation for Fault Diagnosis Based on a Hybrid Approach Using Wavelet Packet and Support Vector Classification by Pengfei Li, Yongying Jiang, Jiawei Xiang

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Hybrid ML Algorithm for Fault Classification in Transmission Lines Using Multi-Target Ensemble Classifier with Limited Data by Abdallah El Ghaly

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A Standardized Classification Scheme for Gastroduodenal Disorder Evaluation Using the Gastric Alimetry System: Prospective Cohort Study by Chris Varghese, Gabriel Schamberg, Emma Uren, Stefan Calder, Mikaela Law, Daphne Foong, Vincent Ho, Billy Wu, I-Hsuan Huang, Peng Du, Thomas Abell, Charlotte Daker, Christopher N. Andrews, Armen A. Gharibans, Gregory O’Grady

“…Studies have demonstrated a range of distinct pathophysiological profiles, and a classification scheme is now required. We used Gastric Alimetry spectral and symptom profiles to develop a mechanism-based test classification scheme, then assessed correlations with symptom severity, psychometrics, and quality of life. …”
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The impact of integrated genomic analysis on molecular classifications and prognostic risk stratification in endometrial cancer: a Chinese experience by Qian Zheng, Qian Zheng, Qian Zheng, Di Shao, Jin Shu, Jin Shu, Jin Shu, Qin Zhang, Qin Zhang, Qin Zhang, Min Huang, Dong Wang, Dong Wang, Dong Wang, Dongling Zou, Dongling Zou, Dongling Zou

“…BackgroundThe molecular classification of endometrial cancer (EC), as proposed by The Cancer Genome Atlas (TCGA), has transformed tumor classification, but there is a lack of extensive research on the molecular profiles and subtyping of endometrial cancer patients in China.Methods200 EC patients were classified into the following four molecular types: (i) POLEmut; (ii) MSI-H; (iii) TP53mut; (iv) NSMP. …”
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Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework by Yongchao Song, Jieru Yao, Yongfeng Ju, Yahong Jiang, Kai Du

“…Meanwhile, the real-time analysis of the algorithm is performed, and the average time efficiency is 13 pfs, which can realize the real-time performance of the detection process.…”
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Performance Analysis of MobileNetV3-based Convolutional Neural Network for Facial Skin Disorder Classification by Herimanto, Arie Satia Dharma, Junita Amalia, David Largo, Christin Adelia Pratiwi Sihite

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Transcriptomic Profiling and Tumor Microenvironment Classification Reveal Unique and Dynamic Immune Biology in HIV-Associated Kaposi Sarcoma by Jihua Yang, Ayse Ece Cali Daylan, Aleksei Shevkoplias, Ekaterina Postovalova, Meng Wang, Andrey Tyshevich, Matthew Lee, Hiba Narvel, Ksenia Zornikova, Nara Shin, Nikita Kotlov, Luca Paoluzzi, Changcheng Zhu, Balazs Halmos, Xingxing Zang, Haiying Cheng

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A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer by Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, Walaa M. El-Hady, Khalid M. Hosny

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