Using Technology to Facilitate Process Writing and Interaction among Adult Students Uso de la tecnología para facilitar el proceso de escritura e interacción entre estudiantes adul... by Aaron Rogers

“…This article deals with how through the innovative use of word processing software, process writing and interaction can be fostered among students. …”
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A robust RGBT tracking framework with temporal information enhancement and backward trajectory verification by Huiwei Shi, Xiaodong Mu, Hao He, Chengliang Zhong, Peng Zhao

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A comprehensive strategy for the development of a multi-epitope vaccine targeting Treponema pallidum, utilizing heat shock proteins, encompassing the entire process from vaccine de... by Jing Jiang, Jing Jiang, Linglan Xu, Linglan Xu, Xuefeng Wang, Ming Wang, Youde Cao, Ranhui Li, Kang Zheng, Xian Wu

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Improving the quality of theoretical training of cadets with the help of information and communication technologies by V. V. Bulgakov

“…To study the effectiveness of the computer program Fire Test in the educational process, the methods of scientific and pedagogical research were used, the main of which were observation and pedagogical experiment. …”
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Possibilities of using immersive learning based on abstract highly formalized mathematical models for training future mathematics teachers by Valentina A. Matveeva, Olga Yu. Zaslavskaya

“…To bring the studied model closer to the real situation, the Maxima computer algebra system is used. Results . In the process of studying the mathematical model of the RSA cryptosystem and its implementation in the Maxima computer algebra system, students experience a ‘partial’ immersion in the environment being studied, since to observe the results it is necessary to know the mathematical model and a number of functions that can provide a certain result. …”
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Formation and development of ventilated supercavity past the disk–cavitator in accelerated motion by Olena Naumova, Volodymyr Moroz, Viktor Kochin, Volodymyr Semenenko

“… The work is devoted to both the experimental studies and the computer simulation of the process of formation and development of a ventilated supercavity past the disk-cavitator in accelerated motion from the state of rest to the steady velocity. …”
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The implementation of distance education models in higher мedical schools by N. G. Goncharova, E. V. Kirsanova, A. A. Svetlicky

“…The computer’s technological revolution over the last years has entered all spheres of human society and has given new guidelines in the education requirements. …”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

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An Architectural Battery Designed by Substituting Lithium with Second Main Group Metals (Be, Mg, Ca/Cathode) and Hybrid Oxide of Fourth Group Ones (Si, Ge, Sn/Anode) Nanomaterials... by Fatemeh Mollaamin, Majid Monajjemi

“…Replacing Si by Ge/Sn content can increase battery capacity through MgBe [SiO–GeO], MgBe [SiO–SnO], MgCa [SiO–GeO], and MgCa [SiO–SnO] nanoclusters for hydrogen adsorption processes and could improve the rate performances by enhancing electrical conductivity. …”
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A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support by Chenxu Hao, Susanne Uusitalo, Caroline Figueroa, Caroline Figueroa, Quirine T. S. Smit, Michael Strange, Wen-Tseng Chang, M. I. Ribeiro, Vanita Kouomogne Nana, Myrthe L. Tielman, Maaike H. T. de Boer

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Listener Acoustic Personalization Challenge—LAP24: Head-Related Transfer Function Dataset Harmonization by Rapolas Daugintis, Roberto Barumerli, Michele Geronazzo, Johan Pauwels, Lorenzo Picinali, Katarina C. Poole

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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The practical novelty of the study lies in its potential to optimize the process of controlling reading techniques for children with various speech disorders, such as lisping, rhotacismus, and dyslalia, which remains an unsolved problem for existing computer linguistic models. …”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Until now, analyzing mammogram images is still the main method used by doctors to diagnose and detect breast cancers. However, this process usually depends on the experience of radiologists and is always very time consuming.Patients and Methods: We propose to introduce deep learning technology into the process for the facilitation of computer-aided diagnosis (CAD), and address the challenges of class imbalance, enhance the detection of small masses and multiple targets, and reduce false positives and negatives in mammogram analysis. …”
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An Efficient One-Dimensional Texture Representation Approach for Lung Disease Diagnosis by Abrar Alabdulwahab, Hyun-Cheol Park, Heon Jeong, Sang-Woong Lee

“…Additionally, it increases the computational time and image-processing complexity. This study investigates the efficiency of converting the 2D chest X-ray into one-dimensional texture representation data using descriptive statistics and local binary patterns, enabling the use of feed-forward neural networks to efficiently classify lung diseases within a short time and with cost effectiveness. …”
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X-RAY MORPHOLOGICAL SEMIOTICS OF NON-TUBERCULOUS MYCOBACTERIAL PULMONARY DISEASE by R. B. Amansakhedov, L. N. Lepekha, L. I. Dmitrieva, I. Yu. Andrievskaya, A. T. Sigaev, N. N. Makar’yants, V. V. Romanov, A. E. Ergeshov

“…The investigation was conducted on a Siemens Somatom Emotion 16 multislice computed tomography (MSCT) scanner using a high-resolution algorithm (Quick Time Virtual Reality). …”
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Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university by Tianhua Chen

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A simplified approach for efficiency analysis of machine learning algorithms by Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya

“…This article presents a comprehensive framework for evaluating ML algorithm efficiency by incorporating metrics, such as training time, prediction time, memory usage, and computational resource utilization. The proposed methodology involves a multistep process: collecting raw metrics, normalizing them, applying the Analytic Hierarchy Process (AHP) to determine weights, and computing a composite efficiency score. …”
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Investigating the impact of the OOP-SOLVE application on the user’s behavior using the technology acceptance model in the programming course by Sohail Iqbal Malik, Roy Mathew, Ragad M. Tawafak, Ghaliya Al-Farsi, Abir Al-Sideiri

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DualAD: Dual adversarial network for image anomaly detection⋆ by Yonghao Wan, Aimin Feng

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Pedestrian-Crossing Detection Enhanced by CyclicGAN-Based Loop Learning and Automatic Labeling by Kuan-Chieh Wang, Chao-Li Meng, Chyi-Ren Dow, Bonnie Lu

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