EXPERIMENTAL RESEARCH ON ULTRASONIC GUIDED WAVES DEFECT CLASSIFICATION BASED ON FRACTIONAL DIMENSION AND BP NEURAL NETWORK by WU Jing, RAO ZiYu, SHEN YuChi, LIAO Bin, Zhang WeiWei, ZOU HouDe, MA HongWei

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Regression-Based Classification of the Middle-Latency Auditory-Evoked Potentials in Vestibular Migraine and Concussion Patients with Dizziness by Carolina Beppi, Daniel Agostino, Antonella Palla, Nina Feddermann-Demont, Julia Dlugaiczyk, Dominik Straumann

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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

“…The research is fully committed to identifying abnormalities within this complex environment, going beyond the classification of subtypes of ovarian cancer. We proposed a new Attention Embedder, a state-of-the-art model with effective results in ovarian cancer subtype classification and outlier detection. …”
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Interrelation between hypoxic liver injury and Killip classification in ST-segment elevation myocardial infarction patients by Seong Huan Choi, Ji-Hun Jang, Dae-Young Kim, Young Ju Suh, Yong-Soo Baek, Sung-Hee Shin, Seong-Ill Woo, Dae-Hyeok Kim, Jeonggeun Moon, Jon Suh, WoongChol Kang, Sang-Don Park, Sung Woo Kwon

“…The incidence of HLI showed incremental tendency with respect to the Killip classification (19.5%, 19.4%, 34.6%, and 37.8%, respectively; p < 0.001). …”
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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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The Place of Vocational Pedagogy in Pedagogical Science System by N. V. Ronzhina

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Agricultural and Related Pest Control Applicator License Classifications under the Florida Department of Agriculture and Consumer Services (FDACS) by Frederick M. Fishel

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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

“…Overall, 83% were phenotyped using the novel scheme, with 79/210 (37.6%) classified as having a spectral abnormality. …”
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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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Class Weighting Approach For Handling Imbalanced Data On Forest Fire Classification Using EfficientNet-B1 by Arvinanto Bahtiar, Muhammad Ihsan Prawira Hutomo, Agung Widiyanto, Siti Khomsah

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Postoperative Complications among Major Abdominal Surgeries using Clavien-Dindo Classification in Tertiary Hospital: An Observational Study by Manoj Kumar Jha, Kunda Bikram Shah, Anup Thapa, Sunil Basukala, Sumit Kumar Sah

“…There were 19 (42.22%) patient with Clavien-Dindo Classification Grade II and surgical site infection was observed in 26 (57.78%) cases. …”
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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models by Matheus Dalmolin, Karolayne S. Azevedo, Luísa C. de Souza, Caroline B. de Farias, Martina Lichtenfels, Marcelo A. C. Fernandes

“…This study investigates the use of machine learning (ML) models combined with explainable artificial intelligence (XAI) techniques to identify the most influential genes in the classification of five recurrent cancer types in women: breast cancer (BRCA), lung adenocarcinoma (LUAD), thyroid cancer (THCA), ovarian cancer (OV), and colon adenocarcinoma (COAD). …”
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Non-Completely Displaced Traumatic Rib Fractures: Potentially Less Crucial for Pulmonary Adverse Outcomes, Regardless of Classification by Hongrye Kim, Su Young Yoon, Jonghee Han, Junepill Seok, Wu Seong Kang

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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

“…The study involved 54 people, the average age of the subjects was 37±4.2 years, 80% of them were men, 20% were women. …”
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Analysis and trends of caesarean sections using Robson’s classification over 7-year period at a rural teaching hospital by Mahathi Nadella, Shyam S. Maila, Indira Nagelli, Kalpana Basany

“…A total of 3176 women who underwent caesarean section were grouped under Robson’s ten-group classification system. Results: The most common group was Group 5 (All multiparous women with at least one previous uterine scar, with single cephalic pregnancy, ≥37 weeks gestation) followed by Group 2 (Nulliparous women, with single cephalic pregnancy, >37 weeks gestation who either had labour induced or were delivered by caesarean section before labour). …”
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Classification of peripheral vitreoretinal interface lesions using spectral-domain optical coherence tomography with guidance of ultrawide field imaging by Weiwei Zheng, Ying Huang, Ying Huang, Shanshan Qian, Bing Lin, Bing Lin, Shenghai Huang, Shenghai Huang

“…Of the 37 vitreoretinal tuft lesions, 32.4% were classified as category B2 and 16.2% as category C, according to peripheral OCT classification. …”
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Classification Method and Determination of Mountainous Area Types at Township Scales: A Case Study of Yuxi City, Yunnan Province by Li Wu, Binggeng Xie, Xiao Xiao, Bing Xue, Jingzhong Li

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DeLoCo: Decoupled location context-guided framework for wildlife species classification using camera trap images by Lifeng Wang, Shun Wang, Chenxun Deng, Haowei Zhu, Ye Tian, Junguo Zhang

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Identification and Classification of Factors Influencing the Regulation of Priority Goods Markets Based on Network Governance with an Interpretive Structural Modeling Approach by sadegh Dadashi, Fattah Sharifzadeh, Reza Vaezi, Hossein Aslipour

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TERTp Mutation and its Prognostic Value in Glioma Patients Under the 2021 WHO Classification: A Real‐World Study by Hao Xing, Delin Liu, Junlin Li, Yulu Ge, Xiaopeng Guo, Wenlin Chen, Dachun Zhao, Yixin Shi, Yilin Li, Yaning Wang, Yuekun Wang, Yu Xia, Jiaming Wu, Tingyu Liang, Hai Wang, Qianshu Liu, Shanmu Jin, Tian Qu, Siying Guo, Huanzhang Li, Tianrui Yang, Kun Zhang, Yu Wang, Wenbin Ma

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