In Vitro Techniques for Microleakage Evaluation of Coronary Restorative Materials: A Scoping and Mapping Review by Sofia Vieira, Carlos Miguel Marto, Ana Coelho, Inês Amaro, Inês Francisco, Francisco Vale, Siri Paulo, Manuel Marques Ferreira, Eunice Carrilho, Anabela Paula

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The impact of deregressed foreign breeding values on national beef cattle single-step genomic evaluation by Damilola Adekale, Zengting Liu, Ross Evans, Thierry Pabiou, Reinhard Reents, Dierck Segelke, Jens Tetens

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Investigation on the Radar Scattering and Doppler Spectrum From Trimaran Based on the Motion of Six Degrees of Freedom by Yuxin Deng, Jinxing Li, Wangqiang Jiang, Min Zhang

“…Second, an accelerated geometrical optics and physical optics algorithm using the light source function (GO-PO/LSF) is proposed, which uses the light source function to realize the visibility judgment of surfaces and greatly reduces the computation time. …”
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Decellularized Green and Brown Macroalgae as Cellulose Matrices for Tissue Engineering by Caitlin Berry-Kilgour, Indrawati Oey, Jaydee Cabral, Georgina Dowd, Lyn Wise

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Youth and Adolescent Athlete Musculoskeletal Health: Dietary and Nutritional Strategies to Optimise Injury Prevention and Support Recovery by Rebekah Alcock, Matthew Hislop, Helen Anna Vidgen, Ben Desbrow

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Fabrication and Characterization of Immature Porcine Cartilage-Derived Cell Biomembranes by Phuong-Vy Bui, Vang Pham Thi, Trung-Nhan Vo, Viet-Trinh Nguyen, Thai-Duong Tran, Vy-Khanh Vo, Phuong Le Thi, Dieu Linh Tran, Minh-Dung Truong

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The On-Chip D-LMS Filter Design Method of Wireless Sensor Node Based on FPGA by Jian Li, Maojin Li, Ming Meng, Zepeng Liu

“…In the real-time position technology of underground shallow source, the signal denoising performance of wireless sensor nodes directly determines the location speed and accuracy of underground burst point. …”
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Biological properties of cord blood hematopoietic stem cells by S. A. Rumiantsev, E. Yu. Osipova, S. E. Ipatov, T. V. Shamanskaya, O. A. Mayorova, A. G. Rumyantsev

“…Phased developments of the technology of stem cells detection and selection, their proliferation, differentiation and function assessment using cultivation in vitro and in vivo in animal model was described. …”
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A Machine-Learning-Based Ocean-Current Velocity Inversion Model Using OCN From Sentinel-1 Observations by Yang Bai, Yubin Zhang, Xudong Zhang, Xiaofeng Li

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Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance by Xianen Wei, Jinsong Chong, Yawei Zhao, Lijie Diao, Xuan Jin

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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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Fine-Grained Style Alignment and Class Balance for Unsupervised Domain Adaptation in Remote Sensing Image Segmentation by Yousheng Xu, Weiji Wang, Wei Yao, Shengzhou Xu

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Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

“…The outcomes reveal that 1) the results showed that the power function emerged as the most efficacious model, with coefficient of determination (<italic>R</italic>²) &#x003D; 0.87 and root mean square error (RMSE) &#x003D; 0.00051 Mg, in estimating the AGB of <italic>Dendrocalamus giganteus</italic>. 2) Based on the feature importance ranking of Random Forest, five variables were selected from the 40 extracted from GEDI, achieving RMSE &#x003D; 8.21 Mg&#x002F;ha and mean absolute error (MAE) &#x003D; 6.12 Mg&#x002F;ha. …”
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A Scale-Aware and Discriminative Feature Learning Network for Fine-Grained Rigid Object Recognition by Yangte Gao, Chenwei Deng, Liang Chen, Zicong Zhu

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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two budding yeast strains. This phenotype is detectable when certain segregants are grown on ethanol at 37°C ('E37'), a condition that differs from the standard culturing environment in both its carbon source (ethanol as opposed to glucose) and temperature (37°C as opposed to 30°C). …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…First， the source dataset is trained on the training network to obtain the source model， and then a small amount of drive-end data is used as the target dataset to fine-tuning to obtain the target model. …”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…The algorithm then uses hybrid clustering methods for gene module detection. Finally, it combines integrated feature selection methods to determine the gene biomarkers. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

“…We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. …”
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