Prognostic Factors and Nomogram for Klebsiella pneumoniae Infections in Intensive Care Unit by Du C, Zhang H, Zhang Y, Zhang H, Zheng J, Liu C, Lu F, Shen N

“…Additionally, decision curve analysis revealed that the nomogram provided significant clinical utility for prognostic prediction.Conclusion: The 30-day mortality risk factors for K. pneumoniae infections were identified, and a predictive nomogram model was developed. The nomogram demonstrated good accuracy and predictive efficiency, providing a practical tool for short-term risk assessment and potentially improving clinical outcomes by providing early intervention and personalized patient management.Keywords: Klebsiella pneumoniae, infection, prognosis, mortality, risk factor…”
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Oropouche Virus: Isolation and Ultrastructural Characterization from a Human Case Sample from Rio de Janeiro, Brazil, Using an In Vitro System by Ana Luisa Teixeira de Almeida, Igor Pinto Silva da Costa, Maycon Douglas do Nascimento Garcia, Marcos Alexandre Nunes da Silva, Yasmim Gonçalves Lazzaro, Ana Maria Bispo de Filippis, Fernanda de Bruycker Nogueira, Debora Ferreira Barreto-Vieira

“…RT-qPCR studies confirmed the production of viral progeny in high titers, corroborating the efficiency of this experimental model. These findings contribute to a better understanding of the cytopathogenic mechanisms of OROV infection and the contribution of cellular alterations in OROV morphogenesis.…”
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Peculiarities of Functional Connectivity—including Cross-Modal Patterns—in Professional Karate Athletes: Correlations with Cognitive and Motor Performances by Beatrice Berti, Davide Momi, Giulia Sprugnoli, Francesco Neri, Marco Bonifazi, Alessandro Rossi, Maria M. Muscettola, Roberto Benocci, Emiliano Santarnecchi, Simone Rossi

“…Results represent a further step in defining brain correlates of “neural efficiency” in these athletes, whose brain can be considered a model of continuous plastic train-related adaptation.…”
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Behavioral Responses of Migratory Fish to Environmental Cues: Evidence from the Heishui River by Jiawei Xu, Yilin Jiao, Shan-e-hyder Soomro, Xiaozhang Hu, Dongqing Li, Jianping Wang, Bingjun Liu, Chenyu Lin, Senfan Ke, Yujiao Wu, Xiaotao Shi

“…A Cox proportional hazards model was applied to identify key abiotic drivers of migration success and to develop a predictive framework. …”
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The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries by Ifrah Hameed, Hafiz Muhammad Haseeb Khaliq

“…And for the solid reason, that it will offer efficient, accessible, and personalized care to patients no matter where they are located. …”
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Development of a Patient-Centered Symptom-Reporting Application in Pharmacy Settings Using a Hierarchical Patient-Friendly Symptom List: Developmental and Usability Study by Seiya Watanabe, Hayato Kizaki, Satoko Hori

“… BackgroundEffective symptom identification, a key responsibility for community pharmacists, requires patients to describe their symptoms accurately and comprehensively. …”
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Exploring potential of tobramycin complexes for combating biofilms: In silico and In vitro studies by Vividha Dhapte-Pawar, Bhumika Kothe, Rama Bhadekar

“…The gel efficiently delivered antimicrobial drugs to bacteria within biofilms. …”
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Modern Trends and Recent Applications of Hyperspectral Imaging: A Review by Ming-Fang Cheng, Arvind Mukundan, Riya Karmakar, Muhamed Adil Edavana Valappil, Jumana Jouhar, Hsiang-Chen Wang

“…In agriculture, the HSI-TransUNet model achieved 86.05% accuracy for crop classification, and disease detection reached 98.09% accuracy. …”
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The effect of banking financial technology on the financial stability of the banking industry in Iran by Arezou Karami, Hadi Esmaeilpour

“…This swift transition towards digital finance has reshaped the traditional banking model in Iran, triggering a fundamental shift in how financial services are delivered and consumed. …”
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Enhancing Privacy in IoT Networks: A Comparative Analysis of Classification and Defense Methods by Ahmet Emre Ergun, Ozgu Can, Murat Kantarcioglu

“…Additionally, the Decision Tree (DT), Random Forest (RF), k-Nearest Neighbors (kNN), and GRU classification algorithms are also evaluated and compared with the XGBoost and LSTM classifiers for the proposed attack model. As a defense mechanism, DP is applied using the Fourier Perturbation Algorithm (FPA) to optimize padding strategies while maintaining network efficiency. …”
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MSNet: A multispectral-image driven rapeseed canopy instance segmentation network by Yuang Yang, Xiaole Wang, Fugui Zhang, Zhenchao Wu, Yu Wang, Yujie Liu, Xuan Lv, Bowen Luo, Liqing Chen, Yang Yang

“…In addition, comparisons with various RGB-only instance segmentation models show that all the proposed MSNet-HAFB fusion models significantly outperform single-modal models in rapeseed count detection tasks, confirming the potential advantages of multispectral fusion strategies in agricultural target recognition. …”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…Special attention is given to peculiarities of the models and the approaches used in potato genetic studies, taking into account the complex organization of its genome and a high level of heterozygosity. …”
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Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences by Yihao Wang, Xuying Wang, Yixuan Zheng, Zeyuan Liu, Yu Zhang, Jiani Kang, Wenbo Xue, Jing Zhang, Yu Lei

“…To address the concern of optimization problem of China’s PM2.5 control and the limitation of computational efficiencies for traditional air quality models, we developed an integrated analysis framework to efficiently establish the identification and cost-benefit assessment of PM2.5 control pathways in China by constructing a rapid PM2.5 exposure response method based on the high-order decoupled direct method (HDDM) and coupling the sequential least square algorithm (SLSQP) and health impact assessment model. …”
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Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics by Zhiqiang Jia, Chen Jiang, Jiahao Li, Yacine Belgaid, Mingfeng Ge, Li Li, Siyi Hu, Xing Huang, Tsung-Yi Ho, Wenfei Dong, Zhiwen Yu, Hanbin Ma

“…With the proposed platform, the single-cell sample generation rate and identification precision reach up to 25% and 98%, respectively, which are much higher than the existing platforms in terms of SCSM efficiency and performance. …”
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MmNet: Identifying Mikania micrantha Kunth in the wild via a deep Convolutional Neural Network by Xi QIAO, Yan-zhou LI, Guang-yuan SU, Hong-kun TIAN, Shuo ZHANG, Zhong-yu SUN, Long YANG, Fang-hao WAN, Wan-qiang QIAN

“…The network consists of AlexNet Local Response Normalization (LRN), along with the GoogLeNet and continuous convolution of VGG inception models. After training and testing, the identification of 400 testing samples by MmNet is very good, with accuracy of 94.50% and time cost of 10.369 s. …”
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Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intell... by Samira Islam, David Ayala-Cabrera

“…The findings suggest the possibility of uncovering new features enhancing GPR image interpretability, presented in 3D models.…”
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MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection by Zelu Wang, Ming Luo, Xinghe Xie, Yue Sun, Xinyu Tian, Zhengxuan Chen, Junwei Xie, Qinquan Gao, Tong Tong, Yue Liu, Tao Tan

“…Traditional manual visual inspection or single-task deep learning models were often struggled to balance detection efficiency and accuracy in complex industrial scenarios. …”
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A multi-module enhanced YOLOv8 framework for accurate AO classification of distal radius fractures: SCFAST-YOLO by Yu Wang, Haifu Sun, Tiankai Jiang, JunFeng Shi, JunFeng Shi, Qin Wang, Qin Wang, Hongwei Yang, Hongwei Yang, Yusen Qiao

“…Additionally, we show the broader clinical applications of SCFAST-YOLO in enhancing consistency and efficiency in trauma care.…”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…The framework’s validations and efficiency are evaluated using established techniques such as classic computed ICA and DICA as standard model scenarios. …”
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Decision support systems for waste-to-energy technologies: A systematic literature review of methods and future directions for sustainable implementation in Ghana by Theophilus Frimpong Adu, Lena Dzifa Mensah, Mizpah Ama Dziedzorm Rockson, Francis Kemausuor

“…The study has addressed its primary objectives through a rigorous analysis of existing scholarship, identification of essential decision-making criteria, assessment of DSS methodologies’ efficacy, and identification of knowledge gaps and future research directions. …”
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