A comprehensive metabolome profiling of Terminalia chebula, Terminalia bellerica, and Phyllanthus emblica to explore the medicinal potential of Triphala by Santhosh N. Hegde, Lavanya Devi K, Mahima Choudhary, Nandita Menon, Gurmeet Singh

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Evaluation of the accuracy of mobile cone-beam computed tomography after spinal instrumentation surgery by Ki Seong Eom, Eun Sung Park, Dae Won Kim, Jong Tae Park, Kwon-Ha Yoon

“…The breaches were graded based on the Heary classification. Results The patients included 11 men and four women, and their mean age was 66±12 years. …”
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Solar Flare Intensity Prediction With Machine Learning Models by Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen

“…Abstract We develop a mixed long short‐term memory (LSTM) regression model to predict the maximum solar flare intensity within a 24‐hr time window 0–24, 6–30, 12–36, and 24–48 hr ahead of time using 6, 12, 24, and 48 hr of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Region Patch (HARP). …”
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Predictive modeling of cattle calving time emphasizing abnormal and normal cases by using posture analysis by May Phyu Khin, Pyke Tin, Yoichiro Horii, Thi Thi Zin

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Retaining Severely Damaged Talar Body and Medial Malleolar Cartilage for Diabetic Ankle/Hindfoot Charcot Arthrodesis Using Intramedullary Nail: A Short Report by Kaissar Yammine MD, PhD, Camille Samaha MD, Chahine Assi MD, MSc

“…Methods: Four patients with type 2/3A Brodsky classification and stage 2/3 as Eichenholtz classification, presenting with a hindfoot varus deformity were treated with TTC using IMN. …”
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Nondestructive Discrimination of Lead (Pb) in Preserved Eggs (Pidan) by Near-Infrared Spectroscopy and Chemometrics by Lu Xu, Si-Min Yan, Chen-Bo Cai, Xiao-Ping Yu

“…The Pb contents of leaded eggs ranged from 1.2 to 12.8 ppm. Linear partial least squares discriminant analysis (PLSDA) and nonlinear least squares support vector machine (LS-SVM) were used to classify samples based on NIR spectra. …”
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Does Using Artificial Intelligence in Citizen Science Support Volunteers’ Learning? An Experimental Study in Ornithology by Khrystyna Pankiv, Laure Kloetzer

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Male-assisted training and injury patterns: hypergraph-enhanced analysis of injuries in women’s water polo by Xuehui Feng, Xuehui Feng, Zhibin Wang, Zhibin Wang, Zheng Wang, Zheng Wang, Chen He, Chen He, Hongxing Xun, Yuanfa Chen, Jie Ding, Jie Ding, Gen Chen, Gen Chen, Zhe Liu, Zhe Liu

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Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring by Alexandre Fuster-Calvo, Sarah Valentin, William C. Tamayo, Dominique Gravel

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History of Lithuania in Cinema and Television. Peculiarities of discourse construction by Rūta Šermukšnytė

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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

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Age-related aspects of glioma: current understanding. Literature review by Serhii P. Luhovskyi, Tetiana Y. Kvitnytska-Ryzhova

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Enhanced photovoltaic panel diagnostics through AI integration with experimental DC to DC Buck Boost converter implementation by Chouaib Labiod, Redha Meneceur, Ali Bebboukha, Abdelmoumene Hechifa, Kamel Srairi, Adel Ghanem, Ievgen Zaitsev, Mohit Bajaj

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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

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Short-term endoscopic alterations of early gastric cancer after successful eradication of Helicobacter pylori by Xiaohan Yan, Jingze Li, Zehua Zhang, Bensong Duan, Meidong Xu, Qinwei Xu

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Identification of the optimal candidates to benefit from surgery and chemotherapy among elderly female breast cancer patients with bone metastases by Yuchen Hu, Junfeng Tang, Xiaofeng Liu, Yusheng Sun, Baojun Gong, Qing Gao

“…The nomogram’s AUC for forecasting OS at 12, 24, and 36 months was 0.753, 0.748, and 0.745 in the training cohort, and 0.744, 0.723, and 0.723 in the validation cohort. …”
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Challenges in classifying human chromosomal heteromorphisms using banding cytogenetics: From controversial guidelines to the need for a universal scoring system by Sílvia Pires, Paula Jorge, Thomas Liehr, Natália Oliva-Teles

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Vestimentary eponyms in contemporary Spanish language by Y. V. Slivchikova

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Deep learning based gasket fault detection: a CNN approach by S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba

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From Melanocyte to Metastatic Malignant Melanoma by Bizhan Bandarchi, Linglei Ma, Roya Navab, Arun Seth, Golnar Rasty

“…At the end, the final version of 2009 AJCC malignant melanoma staging and classification is presented.…”
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