Main trends of the international market of educational services by T. I. Chinaeva

“…The analysis of analytical and statistical information on the processes happening in this area, both at the international level, and in Russia is the basis.In the course of the research the methods of the analytical and logical analysis on the basis of statistical data promoting more detailed studying of dynamic and structural changes of the social and economic phenomena and processes were used.In general for the last 30 years the extent of the international student’s mobility increased more than by 6 times. …”
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Fine Particulate Matter Deposition in 3D Out-of-Plane Bifurcation Lung Airway by Chun-Chih Chuang, Justus Kavita Mutuku, Chih-Che Chueh, Anurita Selvarajoo, Wei-Hsin Chen

“…Abstract Fine particulate matter (PM2.5) produced from traffic-loaded urban areas, combustion processes during industrial processes, and dust resuspension during mechanical disturbances may cause considerable health hazards when it is inhaled, owing to an enhanced accumulation of this particulate material in the lung. …”
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Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map by Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum

“…Using the Chen chaotic system, three random number vectors are generated. The first two vectors are employed to shuffle each bit plane of the plaintext image, rearranging rows and columns. …”
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Functional MRI Assessment of Brain Activity Patterns Associated with Reading in Medulloblastoma Survivors by Josue L. Dalboni da Rocha, Ping Zou Stinnett, Matthew A. Scoggins, Samuel S. McAfee, Heather M. Conklin, Amar Gajjar, Ranganatha Sitaram

“…Alterations in brain regions involved in visual processing and orthographic recognition during rapid naming tasks imply disruptions in the ventral visual pathway associated with normal orthographic processing. …”
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A Weight-Generating Approach of a Deep Neural Network for the Parameter Identification of Dynamic Systems by Weimeng Chu, Shunan Wu, Fangzhou Fu, Zhe Ye, Zhigang Wu

“…Unlike the traditional learning process, a weight-generating approach to quickly generate the weight vectors of a deep neural network model is proposed, which can be used for parameter identification of a dynamic system. …”
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Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…In summary, Harmonizer integrates natural language processing and signal processing into a coherent tokenization paradigm for efficient, interpretable multimodal learning.…”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

“…This study explores the use of machine learning (ML) and deep learning (DL) techniques in processing Electroencephalography (EEG) signals to detect various neurological disorders, including Epilepsy, Autism Spectrum Disorder (ASD), and Alzheimer’s disease. …”
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Private detection of relatives in forensic genomics using homomorphic encryption by Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota

“…HE not only permits the processing of PII as soon as it is collected and encrypted, such as at a crime scene, but also expands the potential for data processing by multiple entities and artificial intelligence services. …”
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Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models by Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey, Tazizur Rahman

“…For ML models, LR requires less processing time compared to others with high accuracy, making it a suitable choice for efficiency-driven applications, while CNN is optimal for neuroimaging-based autism detection. …”
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Fusion of Taq DNA polymerase with single-stranded DNA binding-like protein of Nanoarchaeum equitans-Expression and characterization. by Marcin Olszewski, Marta Śpibida, Maciej Bilek, Beata Krawczyk

“…The recombinant enzyme was purified and its enzymatic properties including DNA polymerase activity, PCR amplification rate, thermostability, processivity and resistance to inhibitors, were tested. …”
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An enhanced classification system of various rice plant diseases based on multi-level handcrafted feature extraction technique by Yasmin M. Alsakar, Nehal A. Sakr, Mohammed Elmogy

“…The explosive growth in image processing, computer vision, and deep learning techniques provides effective and innovative agriculture solutions for automatically detecting and classifying these diseases. …”
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A method for IoT devices test case generation using language models by Sumit Kumar, Kiran Napte, Ruchi Rani, Sanjeev Kumar Pippal

“…The rapid growth of IoT and electronic systems has led to complex real-time data processing and management solutions. However, these systems present significant software and hardware testing challenges, often requiring manual, time-consuming testing efforts. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…Efficiency, low-power consumption, and real-time processing in embedded machine learning implementations are critical, particularly for models deployed in environments with large-scale data processing and resource-constrained environments. …”
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Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach by Amin Abbaszadeh, Mahdi Bazargani

“…Initially, pre-processing is accomplished using the ECG signals to eliminate noise and improve signal smoothness. …”
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Cloud-Driven Data Analytics for Growing Plants Indoor by Nezha Kharraz, István Szabó

“…Built with Apache NiFi (Niagara Files), the pipeline facilitates real-time ingestion, processing, and storage of IoT sensor data measuring light, moisture, and nutrient levels. …”
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Analysis of mathematical describe the interaction cutter working body develops environment by V. N. Kuznetsova, N. A. Kiryushkinа

“…Various methods of calculating the parameters of the milling process, the scheme vectors of the forces acting on the tooth cutter with a head and a tail milling, one-dimensional model of the oscillating system for single-tooth cutter, which operates on the cutting force. …”
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Identify the potential target of efferocytosis in knee osteoarthritis synovial tissue: a bioinformatics and machine learning-based study by Shangbo Niu, Shangbo Niu, Shangbo Niu, Mengmeng Li, Mengmeng Li, Mengmeng Li, Jinling Wang, Jinling Wang, Jinling Wang, Peirui Zhong, Peirui Zhong, Peirui Zhong, Xing Wen, Xing Wen, Xing Wen, Fujin Huang, Fujin Huang, Fujin Huang, Linwei Yin, Linwei Yin, Linwei Yin, Yang Liao, Yang Liao, Yang Liao, Jun Zhou, Jun Zhou, Jun Zhou

“…These targets may modulate synovial efferocytosis-related immune processes, offering novel therapeutic avenues for KOA intervention.…”
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Exploring the eco-evolutionary role of plasmids and defense systems in ‘Fervidacidithiobacillus caldus’ extreme acidophile by Sebastián Pacheco-Acosta, Sebastián Pacheco-Acosta, Gustavo Castro-Toro, Gustavo Castro-Toro, Camila Rojas-Villalobos, Camila Rojas-Villalobos, Cesar Valenzuela, Juan José Haristoy, Abraham Zapata-Araya, Abraham Zapata-Araya, Ana Moya-Beltrán, Pedro Sepúlveda-Rebolledo, Ernesto Pérez-Rueda, Ricardo Ulloa, Alejandra Giaveno, Francisco Issotta, Francisco Issotta, Francisco Issotta, Francisco Issotta, Francisco Issotta, Beatriz Díez, Beatriz Díez, Beatriz Díez, Beatriz Díez, Simón Beard, Simón Beard, Raquel Quatrini, Raquel Quatrini

“…Altogether, these findings point to a modular, functionally diverse adaptive plasmidome shaped by environmental pressures, by the interplay with the host’s defensome, and likely also by other eco-evolutionary processes at play in natural environments. While these associations are compelling, causal relationships remain to be experimentally validated. …”
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Autocompleting inequality by Mike Zajko

“…This article analyzes the fine-tuning of generative AI as a process of social ordering, beginning with the encoding of cultural dispositions into LLMs, their containment and redirection into vectors of ‘safety’, and the subsequent challenge of these ‘guard rails’ by users. …”
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Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield by Rahul Kumar, Ashok Kumar, Karamjit Bhatia, Kottakkaran Sooppy Nisar, Siddharth Singh Chouhan, Priti Maratha, Anoop Kumar Tiwari

“…The research encompasses stages such as acquiring the dataset, pre-processing the data, training the model, developing an ensemble model, evaluating the models, and analyzing the results. …”
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