Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma by Ha Kyung Jung, Changyong Choi, Ji Eun Park, Seo Young Park, Jae Ho Lee, Namkug Kim, Ho Sung Kim

“…In contrast, feature-augmented models maintained stable diagnostic performance; however, when more than 70% of training images included synthetic T2-FLAIR mismatch signs, AUC decreased in the external test set (AUC: 0.905–0.906 for ≤ 70%; 0.902–0.876 for ≥ 80%). …”
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Heart rate variability with circadian rhythm removed achieved high accuracy for stress assessment across all times throughout the day by Yafei Shen, Yafei Shen, Zihan Fang, Zihan Fang, Tao Zhang, Feng Yu, Feng Yu, Ying Xu, Ling Yang, Ling Yang

“…Since both stress and circadian rhythms affect the excitability of the nervous system, the influence of circadian rhythms needs to be considered during stress assessment. Most studies train classifiers using physiological data collected during fixed short time periods, overlooking the assessment of stress levels at other times.MethodsIn this work, we propose a method for training a classifier capable of identifying stress and resting states throughout the day, based on 10 short-term heart rate variability (HRV) feature data obtained from morning, noon, and evening. …”
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Deep image semantic communication model for 6G by Feibo JIANG, Yubo PENG, Li DONG

“…Current semantic communication models still have some parts that can be improved in processing image data, including effective image semantic codec, efficient semantic model training, and accurate image semantic evaluation.Hence, a deep image semantic communication (DeepISC) model was proposed.The vision transformer-based autoencoder (ViTA) network was used to achieve high-quality image semantic encoding and decoding.Then, an autoencoder realized channel codec to ensure the transmission of semantics on the channel.Furthermore, the discriminator network (DSN) and ViTA’s dual network architecture were used to jointly train, thus improving the semantic accuracy of the reconstructed image.Finally, for different downstream vision tasks, different evaluation indicators of image semantics were presented.Simulation results show that compared with other schemes, DeepISC can more effectively restore the semantic features of the transmitted image, so that the reconstructed image can show the same or similar semantic results as the original image in various downstream tasks.…”
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Detecting small seamounts in multibeam data using convolutional neural networks by Tobias Ziolkowski, Colin W. Devey, Agnes Koschmider

“…This underscores the necessity of high-resolution multibeam surveys for capturing fine-scale seafloor features. In contrast to time-intensive manual annotation—which can require several hours to accurately delineate each individual seamount—the automated U-Net-based segmentation approach analyzed 146,060 km² of multibeam data within seconds, offering substantial time savings and scalability for large-scale mapping efforts. …”
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…The aim of this study was to compare the performance of three adaptive neuro-fuzzy inference systems (ANFIS) classification methodologies in classifying mastitis in Holstein dairy cattle: gradient descent (GD)-based ANFIS (GD-ANIFIS), particle swarm optimization (PSO)-based ANFIS (PSO-ANFIS) and genetic algorithm (GA)-based ANFIS (GA-ANFIS). …”
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Pedagogical aspects of the implementation of an additional educational program by E. R. Abdulina

“…The optimal structure for organizing training for the additional educational program "Specialist in labor protection and occupational risk assessment" was determined, a list of disciplines was formed, forms and features of the internship and final certification were determined.Conclusion. …”
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M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy by Nalini Schaduangrat, Hathaichanok Chuntakaruk, Thanyada Rungrotmongkol, Pakpoom Mookdarsanit, Watshara Shoombuatong

“…Using these balanced subsets, we explored and evaluated heterogeneous base-classifiers trained with a variety of SMILES-based feature descriptors coupled with popular ML algorithms. …”
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Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity by Bita Ghasemkhani, Kadriye Filiz Balbal, Kokten Ulas Birant, Derya Birant

“…The proposed approach enhances the model performance by separately determining feature importance based on severity levels. The experiments demonstrated the effectiveness of ORT-ROFS with an accuracy of 87.19%. …”
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Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet by Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li

“…Second, a segmentation framework based on Con-UNet is developed to improve the feature extraction ability of UNet. …”
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Radiomics Feature Extraction from Ultrasound B-Mode Images and Radio-Frequency Signals of the Carotid Arterial Wall: A Feasibility Study by Maryam Jadoon, Federica Poli, Pierre Boutouyrie, Hakim Khettab, Elisabetta Bianchini, Francesco Faita, Xavier Jouven, Jean Philippe Empana, Rosa Maria Bruno

“…The aim of this study is to investigate the feasibility of radiomics-based B-mode and RF feature extraction and selection process. …”
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Industrial Image Anomaly Detection via Synthetic-Anomaly Contrastive Distillation by Junxian Li, Mingxing Li, Shucheng Huang, Gang Wang, Xinjing Zhao

“…We construct a dual-objective optimization integrating cross-model distillation loss and intra-model contrastive loss to train <i>SACD</i> for feature alignment and discrepancy amplification. …”
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A Pipeline for Multivariate Time Series Forecasting of Gas Consumption in Pelletization Process by Thadeu Pezzin Melo, Jefferson Andrade, Karin Satie Komati

“…In step (iii), twelve features were identified as the most relevant based on the Random Forest importance index. …”
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An examination of Turkish EFL teacher trainees’ pronunciation knowledge, perception, and production by Ibrahim Halil Topal, Ismail Fırat Altay

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An examination of Turkish EFL teacher trainees’ pronunciation knowledge, perception, and production by Ibrahim Halil Topal, Ismail Fırat Altay

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Predicting the Efficacy of Neoadjuvant Chemotherapy Combined with Immunotherapy for Esophageal Squamous Cell Carcinoma via Enhanced CT Radiomics Combined with Clinical Features by Xiang Qin MS, Fen Wang MS, Shaohong Wu MS, Dong Han MS, Genji Bai MD, Lili Guo MD

“…Patients were stratified into remission and non-remission groups based on pathological response and randomly divided into training (n = 114) and testing (n = 75) sets (6:4 ratio). …”
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Place and role of multifield hospital in teaching program on surgery for students by A. V. Kapshytar

“…Thus the main postulate of the Bologna declaration is providing adequate material level of educational base where the training program is implemented in the hospital [Desyaterik V.I. 2008]. …”
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Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…The cohort was divided into a training set (n = 92) and a test set (n = 40). Radiomic feature selection was performed using the LASSO algorithm, and nine machine learning models were evaluated. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…Methods A total of 133 patients, including 128 with thymomas and 5 with thymic carcinomas, were ultimately enrolled in this study. Based on the high- and low-risk classification, the cohort was divided into a training set (n = 93) and a testing set (n = 40) for subsequent analysis.Based on imaging data from these 133 patients, multiple radiomics prediction models integrating intra-tumoral and peritumoral features were developed. …”
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To the determination of the capacity descheduling coefficients of railway sections by S. Yu. Kirillova, K. Yu. Nikolaev

“…The article investigates factors arising from the use topology of the railway network and affecting the calculation and of new technologies for organizing train operation, features of the use of the available capacity of railway sections. …”
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PRINCIPLES OF FUTURE INTERPRETERS’ COMMUNICATIVE CULTURE DEVELOPMENT by Zavizion Kateryna

“…The identified principles encompass multiculturalism (developing future interpreters’ abilities to comprehend the national peculiarities of individuals from different nations, the skill to understand ethnosociocultural features of interlocutors, and identifying the cultural subtext of messages), communicativeness (immersing learners in an environment that closely resembles the conditions of their future professional activity; engaging future interpreters in discussions, debates, dialogues, and other forms of communication during the course), interactivity (creating conditions for various ways and forms of interaction among students, e. i. working in pairs, mini and small groups, teams, etc. and with the instructor), non-linearity (a comprehensive approach to form a multicultural language personality capable of effective bilingual mediation between representatives of various nations), systematicity and consistency (formation of the communicative culture of future interpreters based on the logical presentation, sequence, and hierarchy of material in the educational process), professional personal orientation (selecting educational and methodological materials, forms and methods of conducting classes, tasks for independent preparation, which fully correspond to the general strategy of professionalization of academic vocational training), independence (redistribution of time between individual and classroom work in favour of the individual one, which will contribute to the development of student independence, autonomy, the formation of self-organization skills within the framework of preparation and execution of assigned tasks, activation of the use of information technologies, and, as a result, the transformation of the educational information environment into an open system that is constantly enriched by external sources of information), tutoring (shift of emphasis from the teacher to the student and their personal responsibility for the course and results of learning), empathy and tolerance (understanding the experiences, emotions and feelings of the interlocutor that arise during bilingual intercultural communication). …”
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