MONITORING OF FUNCTIONAL PARAMETERS IN THE PATIENTS WITH EARLY STAGE OF AGE-RELATED MACULAR DEGENERATION by I. A. Gndoyan, A. V. Petrayevsky, N. A. Kuznetsova, A. I. Dyatchina

“…Checking of visual acuity with maximal correction, static computer perimetry, the optical coherent tomography of retina central area, definition of critical flicker frequency (CFF), retinal electrical sensitivity and optic nerve electrical lability were used as the examination methods. …”
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Comparison of the Cognitive Skills of Adolescent Basketball Players and Sedentary Adolescents by Egemen Mancı, Fırat Özdalyan, Sercin Kosova, Hikmet Gümüş, Celal Gençoğlu

“…Athletes are continuously exposed to a cognitive process during a practice or a game, and furthermore, they need to make a decision quickly under stress and pressure. …”
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CHOICE OF BLENDED LEARNING MODELS FOR HIGHER PEDAGOGICAL EDUCATION STUDENTS by Т. Собченко

“…The development of information and computer technologies is quite rapid. The realities of today are that higher education institutions must introduce new and effective teaching methods and technologies that will help to improve the quality of education. …”
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Tecnología digital: reflexiones pedagógicas y socioculturales by Victoria González García

“…One of these paradigms will overlook over the two others in next years so is necessary to analyze carefully in witch paradigm technologies are incorporated in educational context, making difference with communication and information technologies and computer learning. Since 80’s years, because the technological revolution, in Costa Rica are made consistent and systematical efforts by introducing digital technology in educational process, with the influence of Seymour Papert’s constructivism ideas.   …”
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Métodos de geração de colunas para problemas de atribuição Column generation methods for assignment problems by Edson Luiz França Senne, Luiz Antonio Nogueira Lorena, Silvely Nogueira de Almeida Salomão

“…Computational experiments are presented in order to confirm the effectiveness of the proposed algorithms.…”
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Artificial intelligence and molecular dynamics assisted analysis of wear behavior of high entropy alloys by Ling Qiao, Junya Inoue, Jingchuan Zhu

“…In this work, we proposed an artificial intelligence and molecular dynamics (MD) based computational framework to explore the wear behavior of Al-Cr-Co-Fe-Ni based HEAs. …”
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Emyooga Programme and Job Creation in Kabale District Uganda. by Niwasasira, Saviour

“…In this regard, the study revealed the existence of infrastructure like offices, computers and software systems but these were not responsible for promoting job creation. …”
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A structure-based designed small molecule depletes hRpn13Pru and a select group of KEN box proteins by Xiuxiu Lu, Monika Chandravanshi, Venkata R. Sabbasani, Snehal Gaikwad, V. Keith Hughitt, Nana Gyabaah-Kessie, Bradley T. Scroggins, Sudipto Das, Wazo Myint, Michelle E. Clapp, Charles D. Schwieters, Marzena A. Dyba, Derek L. Bolhuis, Janusz W. Koscielniak, Thorkell Andresson, Michael J. Emanuele, Nicholas G. Brown, Hiroshi Matsuo, Raj Chari, Deborah E. Citrin, Beverly A. Mock, Rolf E. Swenson, Kylie J. Walters

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Un Nuevo Método de Identificación Basado en la Respuesta Escalón en Lazo Abierto de Sistemas Sobre-amortiguados by Luis A. Mora, Jhon E. Amaya

“…From the results, it was observed that the proposed method obtains good approximations of the transient and frequency responses, being a simple method and requires a low computational load compared with others methods. Palabras clave: Identificación de Procesos, Polos reales múltiples, Respuesta escalón, Raíz del error cuadrático promedio, Respuesta transitoria, Entrada escalón, Respuesta en lazo abierto, Relación señal a ruido, Keywords: Process Identification, Step function responses, Multiple real poles, Root mean square error, Transient responses, Signal-tonoise ratio, Open-loop response, Step input…”
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Optimization of Critical Parameters in Friction Stir Spot Welding of AA5052 Aluminum Alloy Using Response Surface Methodology by Mohamed M. El-Sayed Seleman, Sabbah Ataya, Nashmi H. Alrasheedi, Mohamed M. Z. Ahmed, Hagar A. Reyad, Ashraf Bakkar, Ramy A. Fouad

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Human and environmental feature-driven neural network for path-constrained robot navigation using deep reinforcement learning by Nabih Pico, Estrella Montero, Alisher Amirbek, Eugene Auh, Jeongmin Jeon, Manuel S. Alvarez-Alvarado, Babar Jamil, Redhwan Algabri, Hyungpil Moon

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Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images by Dmitry Pasynkov, Ivan Egoshin, Alexey Kolchev, Ivan Kliouchkin, Olga Pasynkova, Zahraa Saad, Anis Daou, Esam Mohamed Abuzenar

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Up-Conversion Luminescence and C-Band Laser in Er^3+-Doped Fluorozirconate Glass Microsphere Resonator by Haiyan Zhao, Xin Wang, Ruicong Wang, Angzhen Li, Wenhao Li, Elfed Lewis, Yaxian Fan, Shijie Jia, Shunbin Wang, Pengfei Wang

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Deep learning-based automatic differentiation of acute angle closure with or without zonulopathy using ultrasound biomicroscopy: a comparison of diagnostic performance with ophthal... by Haotian Lin, Jing Huang, Lu Cheng, Jingjing Huang, Hailiu Chen, Yunlan Ling, Shufen Lin, Jiaming Hong, Shaopeng Liu, Ethan Wu, Yangyunhui Li

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Predicting mucosal healing in Crohn’s disease: development of a deep-learning model based on intestinal ultrasound images by Li Ma, Yuepeng Chen, Xiangling Fu, Jing Qin, Yanwen Luo, Yuanjing Gao, Wenbo Li, Mengsu Xiao, Zheng Cao, Jialin Shi, Qingli Zhu, Chenyi Guo, Ji Wu

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Layer-by-Layer Multifractal Scanning of Optically Anisotropic Architectonics of Blood Plasma Films: Fundamental and Applied Aspects by Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Mykhaylo Gorsky, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Olexander Salega, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

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Future trends in Food Science and Foodomics: a perspective view by the Editorial Team of Exploration of Foods and Foodomics by Elena Ibáñez, Carlo Bicchi, Francesco Capozzi, Yi Chen, Francesca Coppola, Salvatore Fanali, Sandra R. S. Ferreira, Markus Fischer, Mohsen Gavahian, Rafael Gavara, Miguel Herrero, Christos Kontogiorgis, Xianhua Liu, Luisa Mannina, Paula Martins-Lopes, Jose Antonio Mendiola, Filomena Nazzaro, Dimitrios D. Ntakoulas, Jesus Olivero-Verbel, Yolanda Picó, Charalampos Proestos, Dilip K. Rai, Luca Rastrelli, Ángel Rios, Josep Rubert, Ana Sanches Silva, Celestino Santos-Buelga, Javad Sharifi-Rad, José S. Câmara, Ivone Vaz-Moreira, Zhaowei Zhang, Alejandro Cifuentes

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Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

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The Algorithm of Treatment Tactics for Patients with Tumor Obstruction of Extrahepatic Bile Ducts by Dutka Ya.

“…Among the instrumental examination ultrasonography, computed tomography, magnetic resonance imaging and endoscopic retrograde cholangiography methods to confirm the diagnosis of tumor of the biliary system were applied. …”
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Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Star... by Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong

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