A Dual-Source Deep Learning Model for Mapping Wet Anabranches in Braided Rivers on the Tibetan Plateau by Xiaolu Liu, Xiaoyi Ma, Shuai Qin, Tang Liu, Chenghu Zhou

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Study on the Photosynthetic Physiological Responses of Greenhouse Young Chinese Cabbage (<i>Brassica rapa</i> L. <i>Chinensis Group</i>) Affected by Particulate Matter Based on Hyp... by Lijuan Kong, Siyao Gao, Jianlei Qiao, Lina Zhou, Shuang Liu, Yue Yu, Haiye Yu

“…<i>Chinensis Group</i>) in a greenhouse at harvest time, monitoring and comparing hyperspectral information, net photosynthetic rate, and microscopic leaf structure under two conditions: a quantitative artificial particulate matter environment and a healthy environment. …”
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Assessment of the Impacts of Different Carbon Sources and Sinks on Atmospheric CO₂ Concentrations Based on GEOS-Chem by Ge Qu, Jia Zhou, Yusheng Shi, Yongliang Yang, Mengqian Su, Wen Wu, Zhitao Zhou

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Book Review: Experimental Archaeology and Fire. The Investigation of a Burnt Reconstruction at West Stow Anglo-Saxon Village by Jess Tipper by Claudia Speciale

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Données ouvertes liées et recherche historique : un changement de paradigme by Francesco Beretta

“…It presents the main components of the paradigm shift, and in particular the potential of LOD and robust semantics as vehicles for high-quality, intelligible and reusable factual information. We then present the infrastructure projects carried out at the Larhra (Laboratoire de recherche historique Rhône-Alpes) with the aim of facilitating the digital transition: symogih.org, ontome.net, geovistory.org. …”
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面向齿轮传动系统的分布式协同设计环境开发 by 李阳, 刘更, 韩琳

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La campagna elettorale 2013 in TV: tanta politica, pochi temi e tre protagonisti by Valeria Bianchi, Cristina Chianale

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Bayesian RG flow in neural network field theories by Jessica N. Howard, Marc S. Klinger, Anindita Maiti, Alexander G. Stapleton

“…In BRG, coarse graining is performed in parameter space with respect to an information-theoretic distinguishability scale set by the Fisher information metric. …”
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Anchor-Free Object Detection Algorithm Based on Dual-Angle Multi-Scale Feature Fusion by WANG Xiaoyu, WEI Yuxin, LU Jianyu, YU Yue

“… In response to the problem of insufficient feature extraction and insufficient detection accuracy in the anchor-free frame object detection algorithm CenterNet. We propose an improved algorithm based on dual-angle multi-scale feature fusion. …”
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Temporal Features-Fused Vision Retentive Network for Echocardiography Image Segmentation by Zhicheng Lin, Rongpu Cui, Limiao Ning, Jian Peng

“…The Vision RetNet encoder introduces explicit spatial priors by constructing a spatial decay matrix using the Manhattan distance. …”
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Dense Sandstone Material Decomposition Based on Improved Convolutional Neural Network by Ran ZHANG, Huihua KONG, Jiaxin LI, Yijiao SONG

“…Energy spectrum computed tomography can provide quantitative information of scanned objects and realize material decomposition. …”
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A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data by Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh

“…The evaluated models include Unified Perceptual Parsing for Scene Understanding (UperNet) based on the Swin transformer (UperNet-SwinT), and Multi-path Vision Transformer (UperNet-MpViT), Twins transformer, Segmenter, SegFormer, K-Net based on SwinT, Mask2Former based on SwinT (Mask2Former-SwinT), TopFormer, UniFormer, and PoolFormer. …”
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A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data by Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan, Jiaxuan He

“…Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. …”
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XAIEnsembleTL-IoV: A new eXplainable Artificial Intelligence ensemble transfer learning for zero-day botnet attack detection in the Internet of Vehicles by Yakub Kayode Saheed, Joshua Ebere Chukwuere

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Explainable Survival Analysis of Censored Clinical Data Using a Neural Network Approach by Lisa Anita De Santi, Francesca Orlandini, Vincenzo Positano, Laura Pistoia, Francesco Sorrentino, Giuseppe Messina, Maria Grazia Roberti, Massimiliano Missere, Nicolò Schicchi, Antonino Vallone, Maria Filomena Santarelli, Alberto Clemente, Antonella Meloni

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Mathematical Model of Optimal Development Enterprise Economics by E. V. Kasatkina, D. D. Vavilova

“…The production sphere of the enterprise is a dynamic system of cash, material and information flows, in the framework of which the final product is formed, distributed between investments in production capital and own consumption. …”
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Parental Approaches to Reading to 0- to 7-Year-Old Children: Choices, Experiences and Impact by Teodora Genova, Nadezhda Gadzhakova, Sabina Eftimova

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News Sentiment and the Risk of a Stock Price Crash Risk: Based on Financial Dictionary Combined BERT-DCA by Shuyi Li, Junhao Kong

“…The results show that more net insider sales, lower information transparency, and less analyst coverage amplify the impact of news sentiment on future crash risk, which is consistent with the information intermediation channel. …”
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Block-chain abnormal transaction detection method based on adaptive multi-feature fusion by Huijuan ZHU, Jinfu CHEN, Zhiyuan LI, Shangnan YIN

“…Aiming at the problem that the performance of intelligent detection models was limited by the representation ability of original data (features), a residual network structure ResNet-32 was designed to automatically mine the intricate association relationship between original features, so as to actively learn the high-level abstract features with rich semantic information.Low-level features were more transaction content descriptive, although their distinguishing ability was weaker than that of the high-level features.How to integrate them together to obtain complementary advantages was the key to improve the detection performance.Therefore, multi feature fusion methods were proposed to bridge the gap between the two kinds of features.Moreover, these fusion methods can automatically remove the noise and redundant information from the integrated features and further absorb the cross information, to acquire the most distinctive features.Finally, block-chain abnormal transaction detection model (BATDet) was proposed based on the above presented methods, and its effectiveness in the abnormal transaction detection is verified.…”
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DEVELOPMENT AND RESEARCH OF A NOVEL DNC SYSTEM FOR REMOTE MONITORING OF THE MACHINE TOOLS WITH FANUC NC SYSTEM by YAO Peng, LI NanNan, CAO ZhiJun, LI HeLin, XING JunWei, LIU GuoNing

“…A novel DNC（distributed numerical control） system,which is used to remotely monitor CNC machine tools of FANUC NC system as well as inspection equipment or devices,has been developed based on Socket communication and multithread technology by using SQL Server database and.NET platform.This DNC system can collect the real time information of CNC machines and inspection equipment or devices,and has the functions like the machine state monitoring,data integration and management,performance analysis,fault remote diagnosis,workshop production management,and product quality management and control.In this way,the data integrity and integration has been realized.The architecture of the system is presented and the approaches to the realization of the function modules are elaborated.The data flow,data interpretation and alarm monitoring mechanism are also discussed.This system has been applied in manufacturing plants and performs well.…”
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