Direct Immunoprecipitation of Antigen with Phage Displaying Immunoglobulin Fragment by P. Telleman, G.A. Kingsbury, R.P. Junghans

“…This report describes the direct precipitation of phage-Fab-antigen complexes by polyethylene glycol precipitation, resulting in highly selective and efficient recovery of antigen from complex mixtures without nonspecific protein contamination. …”
Get full text

ALTERNATIVE TO TOPICAL DECONGESTANTS FOR SYMPTOMATIC TREATMENT OF CHILDREN'S ACUTE RHINITIS by E.Yu. Radtsig, N.V. Ermilova, N.V. Sapaeva, M.R. Bogomil'sky

“…Accordingly, this complex can be recommended as a safe and efficient means for curing and prophylaxis of acute rhinitisKey words: children, acute rhinitis, topical decongestants, volatile oils.…”
Get full text

A Novel Hypersonic Target Trajectory Estimation Method Based on Long Short-Term Memory and a Multi-Head Attention Mechanism by Yue Xu, Quan Pan, Zengfu Wang, Baoquan Hu

“…The experimental results show that the method performs well in complex dynamic environments with improved prediction accuracy and robustness, reflecting the potential of information theory principles in optimizing the trajectory prediction model.…”
Get full text

Enhancing strategic decision-making in built asset management through BIM-Enabled asset information modelling (AIM) for public buildings in Ethiopia: A fuzzy-AHP analysis by Muluken Tilahun Desbalo, Asregedew Kassa Woldesenbet

“…To develop the framework, we employed a methodology that combines the Analytic Hierarchy Process (AHP) a structured technique for organizing and analysing complex decisions with fuzzy logic, which helps handle uncertainty in experts' judgments. …”
Get full text

Method and experimental verification of spatial attitude prediction for an advanced hydraulic support system under mining influence by Zhuang Yin, Kun Zhang, ZengBao Zhang, Hongyue Chen, Lingyu Meng, Zhen Wang, Mingchao Du, Xiangpeng Hu, Defu Zhao, Dan Tian

“…Abstract The mining roadways of fully mechanized mining faces are susceptible to complex disturbances, leading to deformation of the surrounding rock, breaking the mechanical balance of the advanced support section of the mining roadway, and potential roof safety incidents and equipment damage. …”
Get full text

Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

“…Computational analysis reveals that AlexNet is time-efficient, particularly at large batch sizes, while GoogleNet incurs higher computational costs due to its complex architecture. …”
Get full text

Roads Infrastructure Digital Twin: Advancing Situational Awareness Through Bandwidth-Aware 360° Video Streaming and Multi-View Clustering by Oussama El Marai, Sotirios Messinis, Nikolaos Doulamis, Tarik Taleb, Jukka Manner

“…Future-facing cities increasingly integrate smart and autonomous objects for their smooth functioning and operations, which ultimately benefit city dwellers and the ecosystem at large. In such highly complex and digital environments, the increased situational awareness is very important for the safety of road participants. …”
Get full text

Research on spray characteristics of single nozzle based on grey correlation analysis by Boyang JIANG, Yipei QI, Jiayong ZHANG, Liwen GUO, Jia LI, Yang XIAO

“…The interaction between the internal and external flow fields of the pressure nozzle and the liquid medium is complex. There are some problems in the current spray research, such as no clear basis for the selection of on-site application nozzles, blindness in the control of spray characteristics, etc., which bring difficulties to the efficient dust suppression of the working face. …”
Get full text

A Deep Learning for Optimization and Visualization of Expressway Toll Lane Management by Pattarapon Klaykul, Wilaiporn Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote

“…While ETC is more efficient, an inappropriate proportion of ETC lanes can increase congestion, making optimal ETC lane selection crucial. …”
Get full text

Research on Newton-Krylov Method for Multi-component Flow Heat Transfer Coupled System of High-temperature Gas-cooled Reactor by TANG Huanran, ZHANG Han, LIU Lixun, PENG Xinru, WU Yingjie, GUO Jiong, LI Fu

“…And the latter is a more complex nonlinear coupled system than the single-component problem which needs to be solved stably, accurately and efficiently. …”

Research on Personnel Image Segmentation Based on MobileNetV2 H-Swish CBAM PSPNet in Search and Rescue Scenarios by Di Zhao, Weiwei Zhang, Yuxing Wang

“…By substituting ResNet50 with the more efficient MobileNetV2 as the model backbone, the computational complexity is significantly reduced. …”
Get full text

Automation and control of the vacuum block by Melikov Elchin, Maharramova Tamella, Safarova Aygun

“…Based on a comprehensive study of technological processes occurring in the vacuum block for an installation of the ELOU-AVT type, the features of the complex technological complex under consideration as a control object were analyzed. …”
Get full text

Improving the classification of a nanocomposite using nanoparticles based on a meta-analysis study, recurrent neural network and recurrent neural network Monte-Carlo algorithms by Rania Loukil, Wejden Gazehi, Mongi Besbes

Get full text

Streamlined gram-scale natural N-glycan production using reversible tagging after oxidative release of natural glycans by Qing Zhang, Yi Lasanajak, Menxin Yan, Golden Chen, Xuezheng Song

“…Our ORNG process releases N-glycans from kilogram-scale of natural sources containing various glycoproteins, which can be efficiently attached with a 4-aminobenzoate tag, facilitating the selective separation of these glycans from other biomolecules. …”
Get full text

Loading scaffold-mediated multiple signal cycle for ultrasensitive microRNA analysis with low background signal by Zhe Zhang, Qiaoyi Xie, Chenbo Zhu, Huali Shao, Boying Wu

“…Furthermore, the incorporation of four signal amplification cycles confers substantial amplification efficiency, permitting accurate detection of low-abundance miRNAs. …”
Get full text

Automated Quantification of Rebar Mesh Inspection in Hidden Engineering Structures via Deep Learning by Yalong Xie, Xianhui Nie, Hongliang Liu, Yifan Shen, Yuming Liu

“…This paper presents an in-depth study of the automated recognition and geometric information quantification of rebar meshes, proposing a deep learning-based method for rebar mesh detection and segmentation. By constructing a diverse rebar mesh image dataset, an improved Unet-based model was developed, incorporating residual modules to enhance the network’s feature extraction capabilities and training efficiency. …”
Get full text

Both strands of siRNA have potential to guide posttranscriptional gene silencing in mammalian cells. by Jun-Xia Wei, Jie Yang, Ji-Feng Sun, Lin-Tao Jia, Yong Zhang, Hui-Zhong Zhang, Xia Li, Yan-Ling Meng, Li-Bo Yao, An-Gang Yang

“…Despite the widespread application of RNA interference (RNAi) as a research tool for diverse purposes, the key step of strand selection of siRNAs during the formation of RNA-induced silencing complex (RISC) remains poorly understood. …”
Get full text

An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties by Yiming Chen, Yanhong Gu, Zhengdong Huang, Tianhong Zhao, Liangyuan Guo

“…The continuous increase in urban population and scale makes the factors considered in the urban route network design increasingly complex. Contemporary public transportation network design problems are based more on efficiency goals such as the accessibility and comfort of the transportation network, which increases the difficulty of analyzing the problem. …”
Get full text

YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Enhancing the efficiency and accuracy of pest detection under resource-limited conditions has thus become a critical issue. …”
Get full text

Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

“…Experimental results show significant improvements in model performance and training efficiency, demonstrating the method’s effectiveness in complex power grid environments. …”
Get full text