Assessment of the State of Anti-Measles Immunity in Medicine Personnel of a Children's Hospital by T. G. Tkachenko, A. V. Dmitriev, R. A. Gudkov, N. V. Fedina

“…Statistical processing was carried out using the χ2 test and Spearman's rank correlation.Results. 63% of the examined had a protective titer of antibodies. …”
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Health literacy prediction models based on machine learning methods: a scoping review by PAN Xiang, TONG Yingge, LI Yixuan, NI Ke, CHENG Wenqian, XIN Mengyu, HU Yuying

“…Conclusion: Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.…”
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Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology by Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng

“…(1) Background: Soybean storage quality is crucial for subsequent processing and consumption, making it essential to explore an objective, rapid, and non-destructive technology for assessing its quality. (2) Methods: crude fatty acid value is an important indicator for evaluating the storage quality of soybeans. …”
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MPTTF-BERT: Multi-Prefix-Tuning Template Fusion by BERT for Zero-shot English Text Relation Extraction Model by Fangqi Song

“…Meanwhile, Prefix-tuning is widely used in zero-shot natural language processing tasks, but the existing zeroshot relationship extraction model based on Prefix-tuning is difficult to construct answer space mapping and depends on manual template selection, which cannot achieve good results. …”
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Golf swing classification with multiple deep convolutional neural networks by Libin Jiao, Rongfang Bie, Hao Wu, Yu Wei, Jixin Ma, Anton Umek, Anton Kos

“…The use of smart sports equipment and body sensory systems supervising daily sports training is gradually emerging in professional and amateur sports; however, the problem of processing large amounts of data from sensors used in sport and discovering constructive knowledge is a novel topic and the focus of our research. …”
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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…The paper also addresses challenges associated with the use of unmanned aerial vehicles, such as data quality limitations, the complexity of processing large volumes of images, and the need for the development of more advanced models. …”
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An automated approach to identify sarcasm in low-resource language. by Shumaila Khan, Iqbal Qasim, Wahab Khan, Aurangzeb Khan, Javed Ali Khan, Ayman Qahmash, Yazeed Yasin Ghadi

“…Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. …”
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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…In addition, reliance on varying data processing methods across studies reduces the generalisability of current models. …”
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A Method for Developing a Digital Terrain Model of the Coastal Zone Based on Topobathymetric Data from Remote Sensors by Mariusz Specht, Marta Wiśniewska

“…It should be emphasised that bathymetric data for the shallow waterbody (less than 1 m deep) were obtained based on high-resolution photos taken by a UAV. They were processed using the “Depth Prediction” plug-in based on the Support Vector Regression (SVR) algorithm, which was implemented in the QGIS software as part of the INNOBAT project. …”
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Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

“…With the development of natural language processing algorithms, the space of used features is expanding. …”
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Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana by John-Bosco Diekuu, M. S. Mekala, Ulric Sena Abonie, John Isaacs, Eyad Elyan

“…Eight semesters of data representing 3,093 undergraduate Health Sciences students was collected from a public university in Ghana, analyzed, pre-processed and transformed into a time-series format. …”
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FREEDOM OF THE INFORMATION SPACE. IS IT A REALITY OR ILLUSION? by Elena V. Korableva

“…The purpose: to define and analyze the limits of freedom and personal fulfillment in the information space in accordance with the change of the vector information and technical characteristics of social development. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…To promote reproducibility, we have released our codebase, trained models, and processed datasets. This work offers practical insights into building secure and reliable IoT systems and highlights the potential of ensemble learning in this context.…”
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Comparative Analysis of Specular and Diffuse Reflection Near-Infrared Spectra in Wood Species Classification by Cheng-Kun Wang, Peng Zhao, Li-Na Dong, Mao-Ni Zhao

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Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results by Andy Victor Pakpahan, Fahmi Reza Ferdiansyah, Robby Gustian, Muhammad Nur Faiz, Sukma Aji

“…Sentiment analysis is a text processing technique aimed at identifying opinions and emotions within a sentence. …”
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A comprehensive review of AI-based brain-computer interface with prefrontal cortex and sensory-motor rhythms systemization for rehabilitation by Anna Latha M, Ramesh R

“…Appropriate works in the field have validated an exhaustive account of the signal processing approaches, like preprocessing, feature extraction, and classification. …”
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Timing and directionality of Triatominae (Hemiptera, Reduviidae) lineage dispersals in the Neotropics by Marina de la Barrera Cardozo, Jorge E. Rabinovich, Anderson Lepeco, Peter Löwenberg-Neto

“…Triatominae , commonly known as kissing bugs, are hematophagous insects of significant epidemiological concern due to their role as vectors for Trypanosoma cruzi, the causative agent of Chagas disease. …”
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The Classification of Metastatic Spine Cancer and Spinal Compression Fractures by Using CNN and SVM Techniques by Woosik Jeong, Chang-Heon Baek, Dong-Yeong Lee, Sang-Youn Song, Jae-Boem Na, Mohamad Soleh Hidayat, Geonwoo Kim, Dong-Hee Kim

“…Using these preprocessed datasets, convolutional neural network (CNN) and support vector machine (SVM) models were built. The T1-weighted image-based CNN model demonstrated high sensitivity (1.00) and accuracy (0.98) in identifying metastatic spine cancer, particularly with data processed by Otsu’s binarization and Canny edge detection, achieving exceptional performance in detecting cancerous cases. …”
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Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data by Li-Rong Yang, Mei Yang, Liu-Lin Chen, Yong-Lin Shen, Yuan He, Zong-Ting Meng, Wan-Qi Wang, Feng Li, Zhi-Jin Liu, Lin-Hui Li, Yu-Feng Wang, Xin-Lei Luo

“…Following this screening process, five machine learning algorithms were employed to develop predictive models based on the selected variables. …”
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CONCEPTUAL FEATURES OF OCCLUSAL BALANCE IN THE DEVELOPMENT AND PATHOLOGY OF LOCALIZED AND GENERALIZED DISEASES OF PARODONTAL TISSUES IN PATIENTS WITH PARTIAL TOOTH LOSS DURING ORTH... by Yu.O. Kinash, L.V. Kinash

“…After 12 months, control clinical examination with additional examination methods of patients with parodontal tissue pathology corresponded to the stabilization of the pathological process both on their natural abutment teeth and on dental implants with normative osseointegration. …”
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