Three-Layer Retrieval and Self-Evaluation Classification Method Based on FastText Algorithm by Yidan Li, Huanhuan Hong, Luhong Wen

“…Patent big data serves as a valuable scientific research source for technological innovation, enabling breakthroughs beyond existing knowledge and fostering disruptive ideas. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…These approaches have network sparsity and data nonlinearity problems, and they do not even capture the intricate relationships between various information sources. Deep learning approaches like graph autoencoders are utilized to perform anomaly detection through obtaining node embeddings while dealing with the network nonlinearity and sparsity issues. …”
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Integrating Artificial Intelligence in urban redesign: A collaborative approach to post-war design phases by I. Alshafei, R. Almashhour

“…The study structure is a literature review and theoretical approach development, data collection, and analysis, depending on multiple sources, including government reports and academic research, as well as hybrid approach development.FINDINGS: The discussion provides theoretical evidence of the potential advances in this empirical approach, highlighting the efficiency improvements achievable by using Artificial Intelligence technologies in a hybrid phased approach that integrates traditional post-war processes with Artificial Intelligence -assisted ones. …”
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Central composite design in predicting heat transfer rate on the time-dependent flow of Williamson nanofluid with chemical reaction: A response surface methodology by B.C. Rout, Subhajit Panda, S.R. Mishra, Rupa Baithalu

“…Further, a statistical approach embedding central composite design is executed for the efficient heat transfer rate utilizing various influencing terms. …”
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Generation of effective and specific human TCRs against tumor/testis antigen NY-ESO-1 in mice with humanized T cell recognition system by Xiaojing Tina Chen, Xiaojing Tina Chen, Matthias Leisegang, Matthias Leisegang, Ioannis Gavvovidis, Ioannis Gavvovidis, Seth M. Pollack, Felix K. M. Lorenz, Ton N. Schumacher, Ton N. Schumacher, Oliver Daumke, Thomas Blankenstein

“…Our data indicate that highly effective TCRs against NY-ESO-1 are likely deleted in humans due to tolerance mechanisms, and that the TCR gene loci transgenic mice represent a reliable source to isolate effective and highly-specific TCRs for adoptive T cell therapies.…”
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FLAML version 2.3.3 model-based assessment of gross primary productivity at forest, grassland, and cropland ecosystem sites by J. Lai, J. Lai, Y. Zhang, A. Wang, W. Fei, Y. Diao, R. Li, J. Wu

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Nuclear Excitation of 181Ta Induced by High Power Femtosecond Laser Pulses by XU Yongsheng1, HE Chuangye1, LAN Xiaofei2, ZHAO Baozhen1

“…These detectors were calibrated with a 55Fe standard source, ensuring high detection efficiency and accuracy. …”
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Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

“…Simultaneous solutions to the conservation equations of multiple physics fields need to be pursued, providing a unified approach to modeling, discretization, and iterative computation processes.PurposeThis study aims to achieve discrete and iterative solutions for multigroup neutron diffusion equations and neutron transport equations, considering the strong coupling between neutronics and thermal-hydraulics.MethodsFirstly, based on the open-source computational fluid dynamics (CFD) platform OpenFOAM, the finite volume method (FVM) was employed to discretize the control equations for neutron diffusion and neutron transport using the Gauss theorem. …”
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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…The usual used single empirical orthogonal function (sEOF) method, which reconstructs sound speed profiles (SSP) by establishing statistical relationships between empirical orthogonal coefficients of SSP and sea surface environmental factors, may have several limitations: (1) The principal modes extracted by the EOF method may lose some sound speed information, resulting in low reconstruction accuracy; (2) The grid-by-grid inversion of SSP is computationally inefficient for acquiring large-scale 3D sound speed fields; (3) Oceanic dynamic activities cause disturbances in the sound speed field, and relying solely on sea surface environmental information can limit the accuracy of full-ocean-depth sound speed inversion.MethodIn this paper, we propose a region-oriented reconstruction model named 3dCNN-DEN for 3D sound speed fields using the Convolutional Neural Network (CNN). The model utilizes multi-source satellite remote sensing data and CMEMS temperature-salinity reanalysis data, simultaneously incorporating sea surface environmental factors (SST, SLA, and EKE) and underwater information (average density) as inputs. …”
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Characteristics and Causes of Extreme Heavy Rainfall in Heilongjiang Province During August 2023 by Qi Duo, Wang Chengwei, Bai Xuemei, Gong Yanduo, Sun Qi, Luan Chen, Tang Kai, Zhao Yujie

“…Due to the strong southwest jet, there is abundant moisture transfer, primarily through the advection of water vapor, which is the primary source for heavy rainfall. The process can be divided into two stages due to significant differences of rainfall, atmospheric stratification, and local circulation characteristics. …”
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Analysis and Optimization of Operating Modes of Mini-CHP on Local Fuels in Conditions of Surplus Electric Power Capacities in the Unified Energy System of Belarus. Part 1 by R. S. Ignatovich, V. A. Sednin, Ye. S. Zuyeva

“…Due to the fact that the ORC installation under study is a component of  the energy source with a high installed peak thermal power, in the current state there is no direct correlation between the outside air temperature and the generation power of the ORC installation. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…ObjectivePrecision design and kinematic calibration are two commonly utilized approaches to further improve the pose accuracy of parallel robots. …”
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Air-gap membrane distillation to desalinate seawater and hypersaline-produced water by Prashan M. Rodrigo, Sana Fatima, Raghava R. Kommalapati, Shankararaman Chellam

“…It achieves this by effectively desalinating seawater and treating complex-produced water from the oil and gas sector. AGMD utilizes a thermal gradient to transport water vapor across a hydrophobic membrane, while an air gap improves separation efficiency by minimizing conductive heat loss. …”
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The osteoinductive and osseointegration properties of decellularized extracellular matrix bone derived from different sites by Weihua Huang, Lijing Hao, Xiayu Cai, Chujie Xiao, Huinan Yin, Weikang Xu

“…The osteogenicity and osteointegration of dECM from different sources were verified in vivo by animal experiments, and the compatibility of dECM in vivo was also verified. …”
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NET-ZERO ENERGY BUILDINGS: A PATH TO SUSTAINABLE LIVING by Chidebe Stanley Anyanwu, Oluwadayomi Akinsooto, Olorunshogo Benjamin Ogundipe, Samuel Ikemba

“…Additionally, NZEBs can lead to long-term cost savings, as reduced energy consumption and reliance on external energy sources result in lower utility bills and operational costs. …”
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Knowledge Management for Improved Digital Transformation in Insurance Companies: Systematic Review and Perspectives by Younes Elgargouh, Mohammed Reda Chbihi Louhdi, El Moukhtar Zemmouri, Hicham Behja

“…Through a systematic review utilizing the PRISMA framework, we meta-analyzed 85 high-quality scientific papers sourced from prominent databases spanning 2008 to 2022. …”
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Heat recovery integration in a hybrid geothermal-based system producing power and heating using machine learning approach to maximize outputs by Hatem Gasmi, Azher M. Abed, Ashit Kumar Dutta, Fahad M. Alhomayani, Ibrahim Mahariq, Fahad Alturise, Salem Alkhalaf, Tamim Alkhalifah, Yasser Elmasry, Baseem Khan

“…These results highlight the potential of combining advanced thermodynamic systems with machine learning methodologies to improve the efficiency and effectiveness of renewable energy sources.…”
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Cumulative live births and predictive factors of emergency oocyte cryopreservation: a retrospective cohort study by Zichuan Han, Tian Tian, Nan Zhang, Jiaxiang Wang, Jia Li, Lixue Chen, Wan Yang, Ping Liu, Rong Li, Jie Qiao, Rui Yang

“…Multivariate analysis identified female age, infertility duration, sperm source, number of mature oocytes retrieved and the presence of male infertility factors as key determinants of live birth outcomes. …”
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EnGCI: enhancing GPCR-compound interaction prediction via large molecular models and KAN network by Weihao Liu, Xiaoli Li, Bo Hang, Pu Wang

“…Each module leverages different sources of multimodal information, and their fusion enhances the overall accuracy of GPCR-compound interaction (GCI) prediction. …”
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