Retracted: Classification and Visual Design Analysis of Network Expression Based on Big Data Multimodal Intelligence Technology by Discrete Dynamics in Nature and Society

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Notes Upon Surcouf's Treatment of the Tabanidæ in the Genera Insectorum and Upon Enderlein's Proposed New Classification of This Family by J. Bequaert

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Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes by Asnimar, Andani Achmad, Yuyun, Akbar Iskandar, Mansyur

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Does the CDC Surgical Wound Classification adequately predict postoperative infection in lower extremity fracture surgery? by Elizabeth Cho, MD, Hanna House, MD, Andrew Marten, BS, Marina Feffer, MPH, Julie Agel, MA, John Scolaro, MD, Meir Marmor, MD, Ashley E. Levack, MD, MAS, OTA Classification & Outcomes Committee, James Kellam, MD, Gillian Soles, MD, Jarrod Dumpe, MD, Kyle Schweser, MD, Geoffrey Maracek, MD

“…The overall infection rate was 2.3% (n = 63), and SWC was significantly associated with infection rates (I/clean: 1.0%, II/clean-contaminated: 3.4%, III/contaminated: 6.2%, IV/dirty: 9.8%, P < 0.001). When compared with Class I, Classes II through IV had increased odds of infection (odds ratio [OR] II: 3.5, P = 0.012; OR III: 6.8, P < 0.001; OR IV: 11.0, P < 0.001). …”
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Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization. by Weihao Wang, Wei Zhu, Janos Hajagos, Laura Fochtmann, Farrukh M Koraishy

“…In the cohort of 1,747 hospital survivors, 61.6% experienced fast eGFR decline, which was associated with younger age, higher baseline eGFR, and acute kidney injury (AKI). …”
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Deep learning-based classification of gallbladder lesions in patients with non-diagnostic (GB-RADS 0) ultrasound by Pankaj Gupta, Ruby Siddiqui, Thakur D. Yadav, Lileswar Kaman, Gaurav Prakash, Parikshaa Gupta, Uma N. Saikia, Usha Dutta

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Machine learning‐based multi‐omics models for diagnostic classification and risk stratification in diabetic kidney disease by Xian Shao, Suhua Gao, Pufei Bai, Qian Yang, Yao Lin, Mingzhen Pang, Weixi Wu, Lihua Wang, Ying Li, Saijun Zhou, Hongyan Liu, Pei Yu

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ViT-DualAtt: An efficient pornographic image classification method based on Vision Transformer with dual attention by Zengyu Cai, Liusen Xu, Jianwei Zhang, Yuan Feng, Liang Zhu, Fangmei Liu

“…Our results demonstrated that ViT-DualAtt achieved a classification accuracy of 97.2% ± 0.1% in pornographic image classification tasks, outperforming the current state-of-the-art model (RepVGG-SimAM) by 2.7%. …”
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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

“…On the basis of these diagnoses, the pain classification according to the IASP pathophysiological definition highlighted a predominant nociceptive pain type (53.9% of all the diagnoses), followed by neuropathic (22.1%), mixed (22.1%), nociplastic (2.6%), and idiopathic (2.6%) pain. …”
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Author Correction: Classification of RTV-coated porcelain insulator condition under different profiles and levels of pollution by Ali Ahmed Salem, Samir Ahmed Al-Gailani, Abdulrahman Ahmed Ghaleb Amer, Mohammad Alsharef, Mohit Bajaj, Ievgen Zaitsev, Razali Ngah, Sherif S. M. Ghoneim

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The Wrist Joint Complex: Anatomical, Physiological and Biomechanical Aspects, Characteristics, Classification, and Treatment of Distal Radius Fractures by Carlos Eduardo Medina Gonzalez, Mikhail Benet Rodríguez, Fernando Marco Martínez

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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 &lt; 0.001). …”
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A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification by Sudeep Thepade, Rik Das, Saurav Ghosh

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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

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Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods by Pragya Kashyap, Kalbhavi Vadhi Raj, Jyoti Sharma, Naveen Dutt, Pankaj Yadav

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Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification by C. Fernandez-Lozano, C. Canto, M. Gestal, J. M. Andrade-Garda, J. R. Rabuñal, J. Dorado, A. Pazos

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Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model by Soran Badawi

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Improved Support Vector Machine and Image Processing Enabled Methodology for Detection and Classification of Grape Leaf Disease by Arshiya S. Ansari, Malik Jawarneh, Mahyudin Ritonga, Pragti Jamwal, Mohammad Sajid Mohammadi, Ravi Kishore Veluri, Virendra Kumar, Mohd Asif Shah

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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by wafiq azizah, soffiana agustin

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Classification Performance Comparison of BERT and IndoBERT on SelfReport of COVID-19 Status on Social Media by Irwan Budiman, Mohammad Reza Faisal, Astina Faridhah, Andi Farmadi, Muhammad Itqan Mazdadi, Triando Hamonangan Saragih, Friska Abadi

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