Diagnostic accuracy of artificial intelligence for the screening of prostate cancer in biparametric magnetic resonance imaging: a systematic review by Oksana V. Kryuchkova, Elena V. Schepkina, Natalia A. Rubtsova, Boris Y. Alekseev, Anton I. Kuznetsov, Svetlana V. Epifanova, Elena V. Zarya, Ali E. Talyshinskii

“…The models using radiomics and clinical features were slightly more accurate than those using the radiomics parameters alone (0.869 [95% CI 0.844–0.895] vs. 0.779 [95% CI 0.751–0.807]). …”
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NF1 expression profiling in IDH-wildtype glioblastoma: genomic associations and survival outcomes by Michael Chang, Mohamed Sherief, Maria Ioannou, Viveka Chinnasamy, Lucy Chen, Michael Frost, Michelle Mattson-Hoss, Herb Sarnoff, David O. Kamson, Matthias Holdhoff, Debraj Mukherjee, Chetan Bettegowda, Jordina Rincon-Torroella, Victoria Croog, Peng Huang, Fausto J. Rodriguez, Calixto-Hope G. Lucas, Karisa C. Schreck

“…We selected 69 GBMs from which to build a tissue microarray (TMA) of 44 NF1-wildtype and 25 NF1-mutant cases. We performed NF1 immunohistochemistry using two different NF1 antibodies (NFC, Sigma-Aldrich; and iNF-07E, iNFixion Bioscience) and correlated results with clinical, genomic, and other immunohistochemical features. …”
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Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition by Tomoya Takatsu, Tessai Hayama, Hu Cui

“…As a result, classification performance is frequently suboptimal. To address this limitation, we propose leveraging an autoencoder integrated with models pre-trained on diverse HAR datasets to extract robust and transferable feature representations from target data. …”
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Deep Learning-Enhanced Motor Training: A Hybrid VR and Exoskeleton System for Cognitive–Motor Rehabilitation by Kathya P. Acuña Luna, Edgar Rafael Hernandez-Rios, Victor Valencia, Carlos Trenado, Christian Peñaloza

“…The performance was further enhanced through a random hyperparameter search, optimizing feature extraction and learning parameters to achieve high classification accuracy (89.23%). …”
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Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks by Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho

“…The proposed system was evaluated using key performance metrics—accuracy, precision, recall, and F1-score—and demonstrated superior performance to conventional models. …”
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Prediction of cholesterol level in patients with myocardial infarction based on medical data mining methods by Cemil Colak, Mehmet C. Colak, Necip Ermis, Nevzat Erdil, Ramazan Ozdemir

“…The performance of the ANNs and SVM models was evaluated on the basis of correlationcoefficient and mean absolute error. …”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…Taking cGAS and kRAS proteins as examples, through rigorous data screening and feature extraction, the study constructed multiple supervised learning models containing traditional machine learning models, and deep learning models like graph convolutional networks. …”
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Wheeled Permanent Magnet Climbing Robot for Weld Defect Detection on Hydraulic Steel Gates by Kaiming Lv, Zhengjun Liu, Hao Zhang, Honggang Jia, Yuanping Mao, Yi Zhang, Guijun Bi

“…Secondly, the kinematic model of the climbing robot is analyzed and a PID trajectory tracking control method is designed, based on the kinematic model and trajectory deviation information collected by the vision system. …”
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Designing natural gesture interaction for archaeological data in immersive environments by Niccolò Albertini, Andrea Brogni, Riccardo Olivito, Emanuele Taccola, Baptiste Caramiaux, Marco Gillies

“…Datasheets  and pictures,  stratigraphic  data  and  3D  models,  time and  space  mixed  together: these are  only a few  of  the  categories  a researcher has to deal with. …”
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Protein-protein interaction prediction using bidirectional GRUs with explicit ensemble. by Qiuhong Lan, Zhongtuan Zheng, Zhen Tang, Xuehua Qiu, Zhixiang Yin

“…Unlike previous models, this paper combines the SVHEHS descriptor with various feature coding techniques to characterize protein sequences more comprehensively. …”
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The association between traumatic temporomandibular joint bony ankylosis and depressive disorder in growing rats by Tiange Deng, Yang Xue, Yiming Wang, Xiang Guo, Zhen Ma, Hongzhi Zhou, Zaiyong Yang, Zhengwu Peng, Xiangxiang Hu, Ning Li, Kaijin Hu, Lei Wang

“…The aim of this study was to investigate the association between TMJ ankylosis and depressive disorder in the rat model. Methods Thirty 3-week-old male Sprague–Dawley (SD) rats were used in this study. …”
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Improved phase prediction of high-entropy alloys assisted by imbalance learning by Libin Zhang, Chang-Seok Oh, Yoon Suk Choi

“…In this work, an extensive database by collecting experimental data from published literature was constructed, and the key features affecting the phase formation of HEAs were filtered out by performing a three-step feature selection process. …”
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Study on Few-Shot Fault Diagnosis Method for Marine Fuel Systems Based on DT-SViT-KNN by Shankai Li, Liang Qi, Jiayu Shi, Han Xiao, Bin Da, Runkang Tang, Danfeng Zuo

“…Fault simulation calculations are performed using the DT model to obtain different types of fault data. …”
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Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection by Changyu Liu, Bin Lu, Huiling Li

“…For the first issue, we proposed a tree proxy-based and service-oriented access control (TPSAC) model based on the traditional role based access control model. …”
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Clothing classification method based on attention mechanism and transfer learning by CHEN Jinguang, HUANG Xiaoju, MA Lili

“…Then the feature expression capability was enhanced. The validation was performed on two datasets of CD and IDFashion with different background interference. …”
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Spatial transcriptomics reveals Inhba/Smad2/E2f4 axis in Lrp2high thecal cell proliferation in androgen-induced PCOS mice by Man Luo, Man Luo, Xiaona Tian, Li Li, Guomei Zhang, Wenzhi Liu, Linlin Mei, Haoran Li, Xiaoyan You, Dongmei Zhang, Mengsi Zhou, Mengsi Zhou, Cheng Xiao, Cheng Xiao, Jianping Ye, Jianping Ye, Xiaofeng Yang, Xiaofeng Yang

“…However, the molecular mechanisms underlying this aberrant cellular expansion remain incompletely understood.MethodsA DHEA-induced mouse model was used to recapitulate the hormonal and ovarian features of human PCOS. …”
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A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning by Haopeng Chan, Xiaolan Qiu, Xin Gao, Dongdong Lu

“…Compared to the best-performing YOLOV8s model among typical mainstream models, this model improves precision by 4.9%, recall by 3.3%, AP by 2.4%, and F1 by 3.9%. …”
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Resources, Potentials and Academic Achievements of Students. Part 2. From Differentiation to Integration of Resources, Potentials and Academic Achievements of Students by L. Ya. Dorfman, A. Yu. Kalugin

“…The systematisation of the main positions of the formed model was performed in accordance with the problem and comparative analysis based on the inductive method.Results and scientific novelty. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…Ancillary datasets included groundwater, geological features, digital elevation models (DEM) and its derivatives, such as slope and aspect, vegetation and land cover maps. …”
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High Resolution Crop Type and Rotation Mapping in Farming–Pastoral Ecotone in China Using Multi-Satellite Imagery and Google Earth Engine by Zhenwei Hou, Bangqian Chen, Yaqun Liu, Huadong Zang, Kiril Manevski, Fangmiao Chen, Yadong Yang, Junyong Ge, Zhaohai Zeng

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