Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health by Vladislav Kaverinsky, Dmytro Vakulenko, Liudmyla Vakulenko, Kyrylo Malakhov

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Federated Learning: A Distributed Shared Machine Learning Method by Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

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An Enhanced Sine Cosine Algorithm for Feature Selection in Network Intrusion Detection by zahra asgari varzaneh, soodeh hosseini

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Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons by K. Jayasree, Malaya Kumar Hota

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Tilted-Mode All-Optical Diffractive Deep Neural Networks by Mingzhu Song, Xuhui Zhuang, Lu Rong, Junsheng Wang

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Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes by Xiangyu Zhang, Claudia Baumann, Rabindranath De La Fuente

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Comparative analysis methods in informatics by Jelena Gasperovič, Albertas Čaplinskas

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Differential geometry of nonholonomic complexes NGr(1, n, 2n − 4) in n-dimensional affine space by Kazimieras Navickis

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Multidimensional analogs of A. Bicardze system by Eugenijus Paliokas

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Staging of esophageal cancer using PET/MRI: a systematic review with head-to-head comparison by Alisa Mohebbi, Saeed Mohammadzadeh, Zahra Moradi, Afshin Mohammadi, Hossein Poustchi, Seyed Mohammad Tavangar

“…For T, N, and M staging, PET/MRI showed 9.1%, 2.0%, and 10.7% upstaging than the histopathological evaluation while these numbers were 19.4%, 12.4%, and 5.3% for downstaging. For direct comparison with PET/CT, PET/MRI showed 0.7% and 5.6% less downstaging and upstaging for N staging and 2.5% and 4.0% for M staging. …”
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Concept of Tributalism: a comparative Analysis of S. Amin 's, J. Haldon's and H. H. Stahl's approaches by Nerijus Babinskas

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Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice by Christopher Harrison, Helena Britt, Graeme Miller, Joan Henderson

“…When multimorbidity was defined as 3+ disease entities: counting individual chronic conditions produced significantly higher estimates than counting groups of chronic conditions; the 12 most prevalent chronic conditions identified only two-thirds of patients identified using all chronic conditions.Conclusions Multimorbidity defined as 2+ disease entities can be measured using different definitions of disease entity with as few as 12 prevalent chronic conditions, but lacks specificity to be useful, especially in older people. …”
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Analisis Kinerja Algoritma CART dan Naive Bayes Berbasis Particle Swarm Optimization (PSO) untuk Klasifikasi Kelayakan Kredit Koperasi by Eko Arif Riyanto, Tri Juninisvianty, Doddy Ferdian Nasution, Risnandar Risnandar

“…The accuracy value obtained from this study was 96.43%, the recall value was 94.12%, and the precision value is 100%. AUC value of 0.963 indicates that this study is included in the good classification. …”
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Social Attitudes toward Cerebral Palsy and Potential Uses in Medical Education Based on the Analysis of Motion Pictures by Marek Jóźwiak, Brian Po-Jung Chen, Bartosz Musielak, Jacek Fabiszak, Andrzej Grzegorzewski

“…The CP incidences of different Gross Motor Function Classification System (GMFCS) levels in real world and in movies, respectively, are 40–51%, 47% (Level I + II); 14–19%, 12% (Level III); 34–41%, 41% (Level IV + V). …”
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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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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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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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