Effects of a social participation-focused virtual reality intervention for community-dwelling stroke survivors with physical disabilities: a randomised controlled trial protocol by Janita Pak Chun Chau, Suzanne Hoi Shan Lo, Vivian Wing Yan Lee, Kai Chow Choi, Alexander Yuk Lun Lau, David R Thompson, Eddie Chi Fai Kwok

Get full text

Neurocognitive deficits in clinical polymorphism of schizophrenia: typology, expression and syndromal overlaps by A. N. Kornetov, E. G. Kornetova, A. V. Golenkova, S. M. Kozlova, M. B. Arzhanik, Zh. A. Samoylenko, A. S. Boiko, A. V. Semke

“…The patients were examined using battery tests to quantify their cognitive functions: Trail Making Test A&B; Stroop Color Word Interference Test; Verbal Fluency; Benton Visual Retention Test; 10 words learning; WAIS Digit Symbol Test; and WAIS Trail Making Test. …”
Get full text

The immunosuppressive role of VSIG4 in colorectal cancer and its interaction with the tumor microenvironment by H. G. Zhang, W. R. Yao, Z. Y. Zhou, L. Liu

“…LASSO and random forest models selected these three genes as critical pathogenic factors for CRC, with AUC values exceeding 0.8 across multiple machine learning models, demonstrating their high diagnostic efficacy. …”
Get full text

HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…We address the limitations of classical machine learning models in processing the intrinsic linkage relationships of high-dimensional data. …”
Get full text

High temperature stress-strain data for SAE 5120 steel under various strain ratesDataverse by Philippe Moreau, Jean-Dominique Guérin, José Grégorio La Barbara Sosa, Eli Puchi Cabrera, André Dubois, Laurent Dubar

“…The resulting data are suitable for direct use in finite element simulations and can enhance material databases for machine learning and deep learning applications.…”
Get full text

Effects of subanesthetic dose of ketamine on motor and cognitive outcomes of harmaline-induced essential tremor model: a focus on Lingo-1 and inflammatory pathways by Mehran Ilaghi, Zeynab Pirmoradi, Zahra Esmaili, Shamim Hosseinalipour, Leili Rouhi, Adel Soltanizadeh, Mohsen Nakhaie, Kiana Sharififar, Moazamehosadat Razavinasab, Mohammad Shabani

“…Tremor severity, muscle strength, locomotor activity, anxiety-like behavior, and passive avoidance learning were assessed. Cerebellar expression of Lingo-1 and IL-6 was analyzed using real-time PCR. …”
Get full text

In Silico Study of Mercury Resistance Genes Extracted from Pseudomonas spp. Involved in Bioremediation: Understanding the Promoter Regions and Regulatory Elements by Duguma Dibbisa, Gobena Wagari

“…The EXPREG output of the 11 TFs with varying degrees of function such as activation, repression, transcription, and dual purposes was thoroughly examined. …”
Get full text

Xception Spiking Fractional Neural Network for Oral Squamous Cell Carcinoma Classification Based on Histopathological Images by Singaraju Ramya, R. I. Minu, K.T. Magesh

“…In this research, a novel deep learning model Xception Spiking Fractional Neural Network (XSFN-Net) is introduced to classify OSCC from the histopathology images. …”
Get full text

A rich conformational palette underlies human CaV2.1-channel availability by Kaiqian Wang, Michelle Nilsson, Marina Angelini, Riccardo Olcese, Fredrik Elinder, Antonios Pantazis

“…VSD-I seems to directly drive opening and convert between two modes of function, associated with VDI. VSD-II is apparently voltage-insensitive. …”
Get full text

Robust Short-Term Wind Speed Forecasting Using Adaptive Shallow Neural Networks by Matrenin P.V., Manusov V.Z., Igumnova E.A.

“…This work aims to develop a machine learning model for short-term wind speed forecasting with acceptable accuracy but high robustness and the pos-sibility of automatic online retraining. …”
Get full text

AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

“…Conclusions The study involved a comprehensive exploration of the function of LLMs in medical ethics education, positing that tools such as ChatGPT can profoundly enhance the learning experience in the future. …”
Get full text

Go Source Code Vulnerability Detection Method Based on Graph Neural Network by Lisha Yuan, Yong Fang, Qiang Zhang, Zhonglin Liu, Yijia Xu

“…The core of this approach is to utilize GraphSAGE to extract the global structure and deep semantic information of each concurrent function, maximizing the learning of concurrency vulnerability features. …”
Get full text

An Improved Pied Kingfisher Optimizer for Maritime UAV Path Planning by Wenyuan Cong, Hao Yi, Feifan Yu, Jiajie Chen, Xinmin Chen, Fengrui Xu

“…Subsequently, a path planning objective function was constructed based on trajectory cost and threat cost to simulate a 3D space for UAV maritime rescue missions, and the IPKO algorithm was applied to address the UAV path planning problem. …”
Get full text

Application of deep neural networks to forecast 60Co soil to plant transfer factor values based in pedological parameters by Lucas Iwahara, Cláudio Pereira, Maria Angélica Wasserman, Flávia Bartoly

“…This work aims to apply ANN to evaluate the possibility of predicting Fv for 60Co in reference plants as a function of soil properties considered relevant for transfer processes in the soil-plant system. …”
Get full text

Modelling Tyre-Road Noise with Data Mining Techniques by Elisabete Fraga FREITAS, Joaquim TINOCO, Francisco SOARES, Jocilene COSTA, Paulo CORTEZ, Paulo PEREIRA

“…The data modelling took into account three learning algorithms and three metrics to define the best predictive model. …”
Get full text

Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…These approaches allow the loss function to more accurately converge in the neighborhood of the global minimum in a smaller number of iterations. …”
Get full text

Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
Get full text

An Integrated Mechanical Fault Diagnosis Framework Using Improved GOOSE-VMD, RobustICA, and CYCBD by Jingzong Yang, Xuefeng Li

“…By employing an energy-feature-driven fitness function, this approach achieves synergistic optimization of the mode number and penalty factor. …”
Get full text

Literary comprehension competence among senior high school students in Purwokerto by Memet Sudaryanto, Aldi Nur Fadilah

“…Literature learning should be designed according to students' characteristics. …”
Get full text

Multiview Deep Autoencoder-Inspired Layerwise Error-Correcting Non-Negative Matrix Factorization by Yuan Liu, Yuan Wan, Zaili Yang, Huanhuan Li

“…Additionally, repulsion-attraction manifold learning is incorporated at each layer to preserve intrinsic geometric structures within the data. …”
Get full text