Structural insights into Type II-D Cas9 and its robust cleavage activity by Kangkang Wang, Jiuyu Wang, Xiaoqi Yang, Wei Sun, Gang Sheng, Yanli Wang

“…Unlike typical Cas9 enzymes that generate blunt ends, NsCas9d produces 3-nucleotide staggered overhangs. Our high-resolution cryo-EM structure of the NsCas9d-sgRNA-dsDNA complex in its catalytic state reveals the target and non-target DNA strands positioned within the HNH and RuvC catalytic pockets, respectively. …”
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Improved Variational Bayes for Space-Time Adaptive Processing by Kun Li, Jinyang Luo, Peng Li, Guisheng Liao, Zhixiang Huang, Lixia Yang

“…The research presented in this paper enhances the moving target detection capabilities of STAP algorithms in complex environments and provides new perspectives and methodologies for the application of sparse signal reconstruction in related fields.…”
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Application of Hyperspectral Image for Monitoring in Coastal Area with Deep Learning: A Case Study of Green Algae on Artificial Structure by Tae-Ho Kim, Jee Eun Min, Hye Min Lee, Kuk Jin Kim, Chan-Su Yang

“…However, the elaborate classification of objects in coastal waters with complex structures is still challenging due to the high possibility of class mixing. …”
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Computational screening identifies selective aldose reductase inhibitors with strong efficacy and limited off target interactions by Jicli Jose Rojas, Roberto Pestana-Nobles, Leonardo C. Pacheco-Londono, Jesús Utria-Munive, Nataly J. Galan-Freyle

“…These survivors were redocked to five high-resolution human AR crystal structures, and the ten best-scoring ligands underwent 100 ns molecular-dynamics simulations followed by MM-PBSA free-energy calculations to refine affinity estimates and probe complex stability. …”
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LWSARDet: A Lightweight SAR Small Ship Target Detection Network Based on a Position–Morphology Matching Mechanism by Yuliang Zhao, Yang Du, Qiutong Wang, Changhe Li, Yan Miao, Tengfei Wang, Xiangyu Song

“…However, ship detection under complex sea conditions still faces challenges, such as high-frequency noise interference and the limited computational power of edge computing platforms. …”
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Rengalin, a New Efficacious and Safe Antitussive Agent. Results of a Randomized, Comparative, Multicenter Clinical Trial in Patients with Acute Respiratory Tract Infections by A. L. Akopov, E. B. Aleksandrova, M. M. Il'kovich, D. V. Petrov, V. I. Trofimov

“…Primary efficacy endpoints were time to cough resolution and reduction in the severity of the cough (scored using a Cough Severity Scale). …”
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Crystal Structure of the Multidomain Pectin Methylesterase PmeC5 from <i>Butyrivibrio fibrisolvens</i> D1^T by Vincenzo Carbone, Kerri Reilly, Carrie Sang, Linley R. Schofield, William J. Kelly, Ron S. Ronimus, Graeme T. Attwood, Nikola Palevich

“…Pectin is a dynamic and complex polysaccharide that forms a substantial proportion of the primary plant cell wall and middle lamella of forage ingested by grazing ruminants. …”
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Uncertainty-aware Fourier ptychography by Ni Chen, Yang Wu, Chao Tan, Liangcai Cao, Jun Wang, Edmund Y. Lam

“…Abstract Fourier ptychography (FP) offers both wide field-of-view and high-resolution holographic imaging, making it valuable for applications ranging from microscopy and X-ray imaging to remote sensing. …”
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Self-Supervised Learning of End-to-End 3D LiDAR Odometry for Urban Scene Modeling by Shuting Chen, Zhiyong Wang, Chengxi Hong, Yanwen Sun, Hong Jia, Weiquan Liu

“…Accurate and robust spatial perception is fundamental for dynamic 3D city modeling and urban environmental sensing. High-resolution remote sensing data, particularly LiDAR point clouds, are pivotal for these tasks due to their lighting invariance and precise geometric information. …”
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Microevolution and genomic epidemiology of the diphtheria-causing zoonotic pathogen Corynebacterium ulcerans by Chiara Crestani, Virginie Passet, Martin Rethoret-Pasty, Nora Zidane, Sylvie Brémont, Edgar Badell, Alexis Criscuolo, Sylvain Brisse

“…Considering the entire Corynebacterium diphtheriae Species Complex, we find four diphtheria toxin families, five tox-prophage families, and a novel tox-carrying genetic element. …”
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Global glaciological models: a new stage in the development of methods for predicting glacier evolution. Part 2. Formulation of experiments and practical applications by T. N. Postnikova, O. O. Rybak

“…The only way to provide the climate forcing of a glaciological model on a regional or global scale is to use low-resolution reanalysis or output of climate modeling on GCMs or RCMs that needs to use a process of scaling to reproduce the local climate in a complex topography where glaciers are usually located. …”
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Comparative analysis of sandstone microtomographic image segmentation using advanced convolutional neural networks with pixelwise and physical accuracy evaluation by Mazaher Hayatdavoudi, Mohammad Emami Niri, Ahmad Kalhor

“…Among all CNNs, EfficientNetB0-Unet, VGG16-Unet, and Enet exhibit exceptional performance in segmenting complex pore structures, as evidenced by their high F1-scores and binary-IOU metrics as well as accurate predictions of porosity, permeability, and formation factor.…”
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A Fortran–Python interface for integrating machine learning parameterization into earth system models by T. Zhang, C. Morcrette, C. Morcrette, M. Zhang, W. Lin, S. Xie, Y. Liu, K. Van Weverberg, K. Van Weverberg, J. Rodrigues

“…Recently, the growing representational capability of machine learning (ML) in solving complex problems has spawned immense interests in climate science applications. …”
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Finding Massive Double-exponential Disk Galaxies with Extended Low Surface Brightness Stellar Disk: An IllustrisTNG Exploration by Suchira Sarkar, Kanak Saha

“…We use the high-resolution IllustrisTNG50 data and perform Sérsic plus exponential profile modeling on the idealized, synthetic Sloan Digital Sky Survey g- and r -band images of the massive disk galaxies using GALFIT. …”
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Enhancing Accuracy of 2D ¹H&#x2013;¹³C HSQC NMR Spectra Under Low Sampling Rates via Non-Harmonic Analysis and Band Segmentation by Yuhang Du, Koushin Matsumoto, Shu Nagahara, Kazuma Tabo, Masaya Hasegawa, Shigeki Hirobayashi

“…Experimental results demonstrate that NUNHA yields spectral resolutions comparable to conventional high-rate sampling methods, enabling accurate recovery and enhanced analysis of complex molecular structures using NMR spectroscopy. …”
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Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…Experimental results demonstrate that the proposed algorithm significantly improves the precision of small object detection and maintains robustness in complex backgrounds. The improved model achieved an mAP of 83.0%, with accuracy improvements of 85.0%, 2.0%, and 5.0% compared to the baseline. …”
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Graph attention network-based multi-source data fusion for atmospheric CO2 concentrations estimation by De Bao, Zheng Ma, Liheng Zhong, Jining Yan, Yi Li, Leigang Sun

“…Existing interpolation and machine learning methods have been used to estimate missing CO2 concentrations, but these approaches result in coarse resolutions and fail to account for spatial correlations. …”
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Integrated Traditional Chinese and Western Medicine in Lung Adenocarcinoma with Rare EGFR Mutation and Nephrotic Syndrome: A Case Report by Zhang L, Cai L, Ruan L, Li J

“…Notably, the treatment resulted in significant tumor shrinkage (reduction rate: 48.1% by RECIST 1.1), complete resolution of malignant pleural effusion, and marked improvement in nephrotic syndrome parameters. …”
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Enhancing agricultural data interpretability and visualization with TabNet-driven feature extraction and Local Biplots by J. Triana-Martinez, A. Álvarez-Meza, G. Castellanos-Dominguez

“…While precision agriculture has advanced through high-resolution remote sensing technologies capturing spectral, thermal, and soil data, interpreting these complex, nonlinear datasets remains a significant challenge for agronomists. …”
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Multiscale Modeling and Reconstruction of Joint Motion: Finite Element Optimization Based on Particle Swarm Algorithm by Jiaju Zhu, Zhong Zhang, Runnan Liu, Meixue Ren, Guodong Ma

“…These findings indicate that the FEA-based 3D reconstruction framework is highly effective in capturing complex joint movements and deformations, providing valuable insights for both biomechanical research and clinical applications.…”
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