Consistent frontal-limbic-occipital connections in distinguishing treatment-resistant and non-treatment-resistant schizophrenia by Yijie Zhang, Shuzhan Gao, Chuang Liang, Juan Bustillo, Peter Kochunov, Jessica A. Turner, Vince D. Calhoun, Lei Wu, Zening Fu, Rongtao Jiang, Daoqiang Zhang, Jing Jiang, Fan Wu, Ting Peng, Xijia Xu, Shile Qi

“…Resting-state functional connection (FC) matrices were constructed from automated anatomical labeling (AAL), Yeo-Networks (YEO) and Brainnetome (BNA) atlases. …”
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Peer review: Together we can make it work by Ute Bültmann, Cécile RL Boot

“…As researchers, we know that a critical and constructive evaluation of research in the review process is essential to move the science in our field forward. …”
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Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

“…The third addresses the subjective and objective challenges of users when performing tasks in 2D versus 3D environments. The fourth examines the experience of spatial presence in 3D environments.…”
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Developing and validating a machine learning-based model for predicting in-hospital mortality among ICU-admitted heart failure patients: A study utilizing the MIMIC-III database by De Su, Jie Zheng, Yue-kai Shao, Jun-ya Liu, Xin-xin Liu, Kun Yu, Bang-hai Feng, Hong Mei, Song Qin

“…An ensemble learning model based on a soft voting mechanism was constructed. Model performance was evaluated using accuracy, recall, precision, F1 score, and AUC values through cross-validation and on an independent test set. …”
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LGWheatNet: A Lightweight Wheat Spike Detection Model Based on Multi-Scale Information Fusion by Zhaomei Qiu, Fei Wang, Tingting Li, Chongjun Liu, Xin Jin, Shunhao Qing, Yi Shi, Yuntao Wu, Congbin Liu

“…To this end, a wheat spike dataset encompassing multiple growth stages was constructed, leveraging the advantages of MobileNet and ShuffleNet to design a novel network module, SeCUIB. …”
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Three-dimensional analysis of micro- and nanostructure of biomaterials and cells by method of scanning probe nanotomography by A. E. Efimov, O. I. Agapova, L. A. Safonova, M. M. Bobrova, I. I. Agapov

“…Use of scanning probe cryonanotomography technique for three-dimensional analysis of structure and characteristics of biomaterials, cells and bio-artifi cial cellular systems enables to improve effi ciency of development of novel cell-engineered constructions with predicted morphological, physical, chemical and biological characteristics for tasks of tissue engineering and regenerative medicine.…”
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A GNSS-IR Soil Moisture Inversion Method Considering Multi-Factor Influences Under Different Vegetation Covers by Yadong Yao, Jixuan Yan, Guang Li, Weiwei Ma, Xiangdong Yao, Miao Song, Qiang Li, Jie Li

“…A multi-factor SMC inversion dataset was constructed, and three machine learning models were selected to develop the SMC prediction model: Support Vector Regression (SVR), suitable for small and medium-sized regression tasks; Convolutional Neural Networks (CNN), with robust feature extraction capabilities; and NRBO-XGBoost, which supports automatic optimization. …”
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MCIR-YOLO: White Medication Pill Classification Using Multi-Band Infrared Images by Mohan Wang, Yang Jiang, Baohui Xu, Mengqiang Huang, Xu Xue, Xu Wu, Wenjian Kuang, Xiang Liu, Harm Tolner

“…The identification and categorization of pills constitute critical tasks within a contemporary hospital, particularly for avoiding medication errors. …”
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Effects of augmented reality cueing strategies on freezing of gait: The ELIMINATE FoG trial by Brendan Baugher, Ryan Kaya, Claire Sonneborn, Kenneth B. Baker, Hubert H. Fernandez, Nathaniel Szewczyk, Jay L. Alberts, James Liao

“…Participants completed six walking tasks, featuring different cueing conditions in a crossover fashion, in a holographic hallway displayed by an AR headset. …”
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METAPHOR AS A FACTOR OF DISCURSIVE CREATION (USING THE EXAMPLE OF THE LEXEME ВКУСНЫЙ – TASTY) by Olena V. Kardashova, Tetiana F. Filchuk

“…These constitutive parameters of discursive subject DS1 are implicated in such metaphorical constructions as “tasty music”, “tasty picture”, “tasty space”, “tasty design solution”, “tasty movie”, “tasty goal”, “tasty opponent”, and so on. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…These methods adaptively construct more accurate data similarity and feature similarity graphs, while imposing rank constraints on the Laplacian matrices of these graphs. …”
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Teaching integration of curriculum ideological and political education and clinical scenario simulation for nursing students (课程思政与护生临床情景模拟的教学融合)... by JIA Minghua (贾明华), LIU Jianrong (刘建荣)

“…For better implementation of fundamental tasks of the strengthen moral education and cultivate people, and comprehensively improvement of cultivating quality, it is required to integrate curriculum ideological and political education into the clinical scenario simulation training, construct a teaching path to promote close combination teaching practice with ideological and political education. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…Given that general images and DEMs have similar structural features, some researchers have attempted to directly apply general image super-resolution methods to DEM super-resolution tasks and achieve better results compared to traditional interpolation-based methods. …”
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Linking prediction models to government ordinances to support hospital operations during the COVID-19 pandemic by Hayley B Gershengorn, Monisha C Bhatia, Prem Rajendra Warde, Samira S Patel, Tanira D Ferreira, Dipen J Parekh, Kymberlee J Manni, Bhavarth S Shukla

“…Objectives We describe a hospital’s implementation of predictive models to optimise emergency response to the COVID-19 pandemic.Methods We were tasked to construct and evaluate COVID-19 driven predictive models to identify possible planning and resource utilisation scenarios. …”
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DIDACTIC POTENTIAL OF MOBILE APPLICATIONS FOR LEARNING ENGLISH AS A FOREIGN LANGUAGE by Blynova Neliia, Kyrylova Oksana, Dolzhenko Maryna

“…Since mobile learning acquires complex and systemic features, it is extremely important to investigate specific means that contribute to the implementation of educational tasks and the acquisition of necessary competencies by students getting higher education. …”
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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

“…The algorithm for constructing recommendations is divided into stages and provides for variability in decision making.Scientific novelty. …”
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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

“…MethodsThis study used constructed case scenarios simulating typical user-bot interactions to examine how effectively chatbots address selected cognitive biases. …”
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The Actualisation of Regional Capacity Educational Space Based on Cluster Interaction: The Aspect of Formation of Training Health Culture by V. A. Fedorov, K. V. Chedov

“…The technological level allows for phased planning, sequentially solving tasks and interpreting the results. The administrative and managerial aspect of the technological level is represented by a cluster approach, and the psychological and pedagogical one is represented by a personal-activity one. …”
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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on R... by Ronghao Li, Shuai Mao, Congmin Zhu, Yingliang Yang, Chunting Tan, Li Li, Xiangdong Mu, Honglei Liu, Yuqing Yang

“…MethodsA retrospective dataset including 2965 chest CT radiology reports was constructed. The reports were from 4 cohorts, namely, healthy individuals and patients with pulmonary tuberculosis, lung cancer, and pneumonia. …”
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AI-driven prediction of insulin resistance in non-diabetic populations using minimal invasive tests: comparing models and criteria by Weihao Gao, Zhuo Deng, Zheng Gong, Ziyi Jiang, Lan Ma

“…Results The CatBoost algorithm performed excellently in classification tasks for insulin resistance. For numerical prediction of the METS-IR index, neural networks, particularly TabKANet, demonstrated superior performance in cross-dataset validation. …”
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