Joint Two-Dimensional Ambiguity Resolving Based on Space-Time Filtering for MIMO-SAR by Ping-ping Huang, Hua-sheng Li, Sheng Zhang, Guang-Cai Sun

“…In order to resolve the range and azimuth ambiguity in MIMO-SAR imaging, this paper proposed a joint two-dimensional ambiguity resolving method based on space-time filtering, which according to the ambiguity in different subscene is relative to different nearest echo range, and different azimuth time is relative to different instantaneous incidence angle, to make two-dimensional space-time steering vector for resolving ambiguity of the echo, which also can finish the imaging processing at the same time. …”
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Spatial Vibration Characteristics and Damage Identification of Toppling Dangerous Rock Mass by Chen ZHAO, Mowen XIE, Yan DU, Zhengjun HUANG, Zheng HE, Guang LU

“…This study aims to develop a high sensitivity index that can reflect the spatial three-dimensional damage evolution process of the dangerous rock mass. It investigates the spatial vibration characteristics of the damage evolution process, proposing a particle trajectory time-domain dynamics index with heightened sensitivity to the damage of the dangerous rock mass structural plane in various directions of damage evolution.Methods Dangerous rock mass is regarded as a three-dimensional entity. …”
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Diffusion tensor imaging in the characterization of multiple system atrophy by Rulseh A, Keller J, Rusz J, Syka M, Brozova H, Rusina R, Havrankova P, Zarubova K, Malikova H, Jech R, Vymazal J

“…Fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity maps were processed using tract-based spatial statistics. Diffusion data were additionally evaluated in the basal ganglia. …”
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Cytokine profile of patients with the measles infection of varying severity by K. A. Veklych, M. M. Popov, T. I. Liadova, O. V. Martynenko, O. H. Sorokina, V. V. Sarkis-Ivanova

“…Statistical processing of the obtained data was carried out using the IBM SPSS Statistics 22.0 software package. …”
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A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…We propose a novel workflow for processing ground survey data to generate stable reference samples, which are then used with a transfer learning approach to construct a multi-year sample library. …”
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Design and Development of Information Content of an Open Online School for Foreign Citizens in Russian by N. I. Gorodetskaya, I. E. Belotserkovskaya, T. V. Tumanova, N. B. Sherbakova

“…The specification of the structural and content of the online school and the description of the technological process of its creation can be useful to regional developers of such resources.…”
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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…Abstract Medical imaging sciences and diagnostic techniques for Breast Cancer (BC) imaging have advanced tremendously, particularly with the use of mammography images; however, radiologists may still misinterpret medical images of the breast, resulting in limitations and flaws in the screening process. As a result, Computer-Aided Design (CAD) systems have become increasingly popular due to their ability to operate independently of human analysis. …”
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Establishment of a novel engineering breeding technology for cytoplasmic male sterility by Na Xu, Dong Yu, Longhui Zhang, Tiankang Wang, Zhongxiao Hu, Quanqiang Lei, Yingxin Qiu, Zheming Yuan, Shufeng Song, Li Li

“…CEBT converts the traditional three-line system into an efficient ‘new two-line’ hybrid framework: the reproductive line is improved while simultaneously improving the ESL, which significantly shortens the breeding process for three-line hybrid rice.…”
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Gene therapy in cardiomyopathies - Review of the latest reports by Magdalena Strzelczyk, Gabriela Pabis, Joanna Wziątek, Paula Bętkowska, Iwona Koziołek, Piotr Kowalik, Patrycja Fatyga, Wiktoria Fatyga, Daria Krzyżanowska, Kinga Dowierciał

“…Antisense therapy (ASO) uses antisense oligonucleotides to exclude a particular exon and causes the translation process to stop. Gene replacement involves introducing a healthy copy of a mutated gene into the genome along with an appropriate vector. …”
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Cardiac Niche Influences the Direct Reprogramming of Canine Fibroblasts into Cardiomyocyte-Like Cells by Giacomo Palazzolo, Mattia Quattrocelli, Jaan Toelen, Roberto Dominici, Luigi Anastasia, Guido Tettamenti, Inès Barthelemy, Stephane Blot, Rik Gijsbers, Marco Cassano, Maurilio Sampaolesi

“…Exogenous gene expression was obtained using four lentiviral vectors carrying transcription factor genes and different resistance genes. …”
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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

“…This study uses a stacking algorithm to process m-NLP data and incorporates the International Reference Ionosphere (IRI) model to correct the predicted electron density (Ne) values. …”
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GAGAN: Enhancing Image Generation Through Hybrid Optimization of Genetic Algorithms and Deep Convolutional Generative Adversarial Networks by Despoina Konstantopoulou, Paraskevi Zacharia, Michail Papoutsidakis, Helen C. Leligou, Charalampos Patrikakis

“…The proposed GAGAN model is trained on the CelebA dataset, using 2000 images, to generate 128 × 128 images, with the generator learning to produce realistic faces from random latent vectors. The discriminator, which classifies images as real or fake, is optimized not only through standard backpropagation, but also through a GA framework that evolves its weights via crossover, mutation, and selection processes. …”
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Player Tracking Data and Psychophysiological Features Associated with Mental Fatigue in U15, U17, and U19 Male Football Players: A Machine Learning Approach by José E. Teixeira, Pedro Afonso, André Schneider, Luís Branquinho, Eduardo Maio, Ricardo Ferraz, Rafael Nascimento, Ryland Morgans, Tiago M. Barbosa, António M. Monteiro, Pedro Forte

“…The data preparation process involved managing absent values, applying normalization techniques, and selecting relevant features. …”
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An Improved <i>Agrobacterium</i>-Mediated Transformation Method for an Important Fresh Fruit: Kiwifruit (<i>Actinidia deliciosa</i>) by Chun-Lan Piao, Mengdou Ding, Yongbin Gao, Tao Song, Ying Zhu, Min-Long Cui

“…Furthermore, over 71% of kanamycin-resistant plantlets exhibited robust <i>GFP</i> expression, and the entire transformation process was completed within four months of culture. …”
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Gender Classification Based on Geometry Features of Palm Image by Ming Wu, Yubo Yuan

“…The first one is feature extraction by image processing. The other one is classification system with polynomial smooth support vector machine (PSSVM). …”
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Streamlining Thoracic Radiotherapy Quality assurance: One-Class Classification for Automated OAR Contour Assessment by Yihao Zhao BSc, Cuiyun Yuan MSc, Ying Liang PhD, Yang Li MSc, Chunxia Li MSc, Man Zhao MSc, Jun Hu PhD, Ningze Zhong Bsc, Wei Liu PhD, Chenbin Liu PhD

“…However, an effective QA process for these automatic contours remains an unmet need in clinical practice. …”
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Optimizing flood resilience in China’s mountainous areas: Design flood estimation using advanced machine learning techniques by Xuemei Wang, Ronghua Liu, Chaoxing Sun, Xiaoyan Zhai, Liuqian Ding, Xiao Liu, Xiaolei Zhang

“…Study region: China Study focus: We developed machine learning (ML) models for design flood estimation in mountainous catchments (≤ 500 km²) across China. This process considered different ML algorithms (random forest, extreme gradient boosting, and support vector regression), model scopes (nation and hydrological zones), and feature input sets (1–14 features) to optimize model development strategies. …”
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Engineered circular RNA-based DLL3-targeted CAR-T therapy for small cell lung cancer by Jingsheng Cai, Zheng Liu, Shaoyi Chen, Jingwei Zhang, Haoran Li, Xun Wang, Feng Yang, Shaodong Wang, Xiao Li, Yun Li, Kezhong Chen, Jun Wang, Ming Sun, Mantang Qiu

“…Using circRNA to construct transient Chimeric Antigen Receptor (CAR)-T cells can mitigate the limitations of conventional viral vector-based CAR-T approaches, such as complex process and long-term side effects. …”
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Fusion Text Representations to Enhance Contextual Meaning in Sentiment Classification by Komang Wahyu Trisna, Jinjie Huang, Hengyu Liang, Eddy Muntina Dharma

“…The classification process using deep learning models is closely tied to text representation. …”
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Ecology of Gene Drives: The Role of Density‐Dependent Feedbacks on the Efficacy and Dynamics of Two‐Locus Underdominance Gene Drive Systems by Ziqian Xu, Michael B. Bonsall

“…ABSTRACT Density dependence describes the regulation of population growth rate by population density. This process is widely observed in insect populations, including vectors such as mosquitoes and agricultural pests that are targets of genetic biocontrol using gene drive technologies. …”
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