METHODOLOGICAL PROBLEMS OF HIGHER SCHOOL DIDACTICS by G. I. Ibragimov

“…Accordingly, professional didactics deals with developing personal life experience as a complex of scientific and professional knowledge, skills and behavior patterns. …”
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A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor by Huali Li, Gang Ren, Rong Cai, Jian Chen, Xiangru Wu, Jianxi Zhao

“…Conclusions Our findings suggest that the Ki67 index is an effective complementation in predicting the prognosis of GISTs, and CT features including size, contour, and margin of the tumor, presence of necrosis or cystic degeneration, and pattern of enhancement provide evidence to support the importance of preoperative assessment.…”
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Analyzing display photometric features through time-dependent dynamics of accommodative responses and ocular imaging quality by Jianqi Cai, Shanshan Zeng, Ya Guo, Wentao Hao

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Growth Performance, Feed Intake and vegf121 Gene Expression Feature of Dwarf Cyprinus carpio rubrofuscus by Shuozhen CHEN, Dongmei MA, Zaixuan ZHONG, Jiajia FAN, Huaping ZHU, Huanhuan SU

“…This suggested that vegf121 has different regulatory functions in the development of blood vessels in different tissues of C. carpio rubrofuscus. …”
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Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

“…This study aims to investigate and propose a machine learning approach that can accurately detect alcohol consumption by analyzing the thermal patterns of facial features. Thermal images from the Tufts Face Database and self-collected images were utilized to train the models in identifying temperature variations in specific facial regions. …”
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A Grey Wolf Optimisation-Based Framework for Emotion Recognition on Electroencephalogram Data by Ram Avtar Jaswal, Sunil Dhingra

“…Human emotions trigger reflective transformations within the brain, leading to unique patterns of neural activity and behaviour. This study connects the power of electroencephalogram (EEG) data to investigate the intricate impacts of emotions, considering their reflective significance in our daily lives, in depth. …”
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A Review on Transformer-Based Methods for Human Activity Recognition by Fatemeh Sadat Lasani, Ronak Fatahi

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Automated lung cancer detection using novel genetic TPOT feature optimization with deep learning techniques by Mohamed Hammad, Mohammed ElAffendi, Muhammad Asim, Ahmed A. Abd El-Latif, Radwa Hashiesh

“…Deep learning, particularly convolutional neural networks (CNNs), offers an automated alternative capable of learning intricate patterns from medical images. However, previous deep learning models for lung cancer detection have faced challenges such as limited data, inadequate feature extraction, interpretability issues, and susceptibility to data variability. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak

“…Our approach begins by acquiring spatial features from contrast-enhanced images using a Convolutional Neural Network (CNN) effectively capturing intricate patterns and structures characteristic of different carcinoma subtypes. …”
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Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network by Tahani Jaser Alahmadi, Adeel Ahmed, Amjad Rehman, Abeer Rashad Mirdad, Bayan Al Ghofaily, Shehryar Ali

“…Despite the potential of CT scans in visualizing breast tissue in 3D with high resolution, extracting meaningful patterns from these scans is difficult due to the complex and nonlinear nature of the tissue features. …”
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An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features by Husam M. Alawadh, Talha Meraj, Lama Aldosari, Hafiz Tayyab Rauf

“…Moreover, the proposed study covered four different aspects of student-written essays and extracted cohesion features via sentence connectivity, coherence via sentence relatedness, statistical lexical features via the Term Frequency (TF)-Inverse Document Frequency (IDF) method, and discourse macrostructural features via calculating the unique pattern of each essay. …”
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Evaluation of Clinical and Immunopathological Features of Different Infective Doses of Trypanosoma cruzi in Dogs during the Acute Phase by Israel A. Quijano-Hernández, Alejandro Castro-Barcena, Esteban Aparicio-Burgos, Marco A. Barbosa-Mireles, Julio V. Cruz-Chan, Juan C. Vázquez-Chagoyán, Manuel E. Bolio-González, Eric Dumonteil

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Study on the Method of Vineyard Information Extraction Based on Spectral and Texture Features of GF-6 Satellite Imagery by Xuemei Han, Huichun Ye, Yue Zhang, Chaojia Nie, Fu Wen

“…Accurately identifying the distribution of vineyard cultivation is of great significance for the development of the grape industry and the optimization of planting structures. …”
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Using Hybrid Feature and Classifier Fusion for an Asynchronous Brain–Computer Interface Framework Based on Steady-State Motion Visual Evoked Potentials by Bo Hu, Jun Xie, Huanqing Zhang, Junjie Liu, Hu Wang

“…The method integrates filter bank common spatial patterns (FBCSPs) and filter bank canonical correlation analysis (FBCCA) to extract complementary spatial and frequency domain features from EEG signals. …”
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Morphological features of histogenic differon cells in connective tissue of guinea pigs’ lungs after sensitization with ovalbumin by S. S. Popko, V. M. Yevtushenko

“…An urgent issue of modern morphology is establishing a number of patterns of morphological changes and reactivity of connective tissue components of lungs in case of experimental sensitization with allergens. …”
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Spatiotemporal pattern analysis of land use in Jiangsu Province based on long-term time series remote sensing images by Zhendong Ji, Lingzhi Yin, Jinhong Wang

“…Studying spatiotemporal patterns of land use is crucial for optimal land resource allocation and sustainable development. …”
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miR-155 and miR-223 as markers of biological and clinical features of chronic lymphocytic leukemia by M. L. Perepechaeva, O. B. Goreva, O. V. Berezina, T. I. Pospelova, A. Yu. Grishanova

“…Our preliminary results will provide the basis for future larger studies on levels of microRNAs in CLL patients having specific features of the development, clinical course, and treatment of the disease.…”
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Static Pakistani Sign Language Classification using Support Vector Machine by Shaheer Mirza, Sheikh Muhammad Munaf, Shahid Ali, Muhammad Asif

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PLM-ATG: Identification of Autophagy Proteins by Integrating Protein Language Model Embeddings with PSSM-Based Features by Yangying Wang, Chunhua Wang

“…Although current computational approaches have addressed experimental recognition’s costly and time-consuming challenges, they still have room for improvement since handcrafted features inadequately capture the intricate patterns and relationships hidden in sequences. …”
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Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

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