Theoretical Model, Model Innovation, and Important Implications of DeepSeek Empowering Library Knowledge Services by ZHANG Xingwang, LI Jie, LI Sifan, WANG Xiaopei

“…It also elaborates on the security issues of large models caused by the open source strategy, the intellectual property risks caused by technological innovation, the knowledge illusion problems caused by data traps and defects, and the information cocoon problems caused by technological applications. …”
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Similarity-Based Clustering for Identification and Segmentation of Responsive Electricity Customers by Amirhossein Ahmadi, Hamidreza Zareipour, Henry Leung

“…The identification and segmentation of responsive electricity customers have been formulated here as a binary time series clustering (TSC) problem. The assumption of a stationary environment in kernel methods can complicate the mapping of non-stationary time series data to a high-dimensional feature space, leading to a degradation in the performance of kernel K-means clustering. …”
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A Subjective Expressions Extracting Method for Social Opinion Mining by Mingyong Yin, Haizhou Wang, Xingshu Chen, Hong Yan, Rui Tang

“…Constructing adequate input vector which can encode sufficient information is a challenge of neural network-based approach. To cope with this problem, a novel representation method that combines the different features with word vectors is proposed. …”
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Unmasking social bots: how confident are we? by James Giroux, Gangani Ariyarathne, Alexander C. Nwala, Cristiano Fanelli

“…Despite the progress made in developing multiple sophisticated social bot detection algorithms and tools, bot detection remains a challenging, unsolved problem that is fraught with uncertainty due to the heterogeneity of bot behaviors, training data, and detection algorithms. …”
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Defect Image Recognition and Classification for Eddy Current Testing of Titanium Plate Based on Convolutional Neural Network by Weiquan Deng, Jun Bao, Bo Ye

“…The structural characteristics of local connectivity and shared weights of CNN have better feature learning and characterization capabilities for titanium plate defect images under scan shift, scale distortion, and strong noise interference. …”
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‘You see, it is the skin’—responses to racism by young immigrant refugees in rural municipalities in Sweden with historical extreme right-wing and nationalist roots by Christer Mattsson, Roger Säljö

“…When reporting, the students argue that racism is not much of a problem for themselves, but that many of their friends suffer. …”
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The Minimum Spectral Radius of an Edge-Removed Network: A Hypercube Perspective by Yingbo Wu, Tianrui Zhang, Shan Chen, Tianhui Wang

“…The spectral radius minimization problem (SRMP), which aims to minimize the spectral radius of a network by deleting a given number of edges, turns out to be crucial to containing the prevalence of an undesirable object on the network. …”
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Modeling environmental transmission of MAP infection in dairy cows by Kokum R. De Silva, Shigetoshi Eda, Suzanne Lenhart

“…It is a chronic, progressive, and inflammatory disease which has a long incubation period. One main problem with the disease is the reduction of milk production in infected dairy cows. …”
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Document Verification System Using Image Processing: A Case Study of Kabale Municipality. by Ojara, Walter

“…The extracted text is then processed using various techniques, including image filtering, morphological operations, and feature extraction, to identify unique features to authenticate local government documents issued to the clients. …”
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Experimental qudit state estimation via point tomography by D. Martínez, L. Pereira, K. Sawada, P. González, J. Cariñe, M. Muñoz, A. Delgado, E. S. Gómez, S. P. Walborn, G. Lima

“…Point tomography is an approach to the problem of state estimation, which is arguably the most efficient and simple method for modern high-precision quantum information experiments. …”
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Port terminal mobile recognition based on combined YOLOv5s-DeepSort. by Chengzhi Wang, Donghong Chen, Zhen Liu, Yuanhao Li, Yifei Wang, Sanglan Zhao

“…To solve the problem of reduced positioning accuracy caused by changes in scale, background and occlusion in port and dock video images, this research proposes an enhanced model combining YOLOv5s-DeepSORT, integrating target load recognition and trajectory tracking to improve adaptability to dock environments. …”
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Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection by Wasin AlKishri, Abdallah Abualkishik, Mahmood Al-Bahri

“…Driver drowsiness is a severe problem that usually causes traffic accidents, classified as more dangerous. …”
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Blockchain-Based Contact Tracing and Information Sharing Model for COVID-19 Pandemic by Arwa Mashat, Aliaa M. Alabdali

“…Apart from these, gathering individual consent and sharing their health data with unknown associations is a real-time problem. We propose a blockchain-based data system that maintains confidentiality with transparency. …”
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Dual-verified secure localization method for unmanned intelligent vehicles by GU Xiaodan, XIA Guozheng, SONG Bingchen, YANG Ming, LUO Junzhou

“…The existing Wi-Fi network infrastructure was utilized by the vehicles for fingerprinting localization and a feature fusion strategy was designed to realize the dynamic fusion of Wi-Fi and magnetic field fingerprints. …”
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An Asymptomatic Mandibular Radiolucency: First Sign of Follicular Thyroid Carcinoma by Lakshmi S. Garladinne, Steven B. Whitaker, Jerry E. Bouquot

“…In almost all instances, there is a primary site already identified, but very occasionally the metastases are the first sign of a problem. Notable other, less obvious, clinical expressions of malignancy are weight loss, loss of appetite, fever and chills.  …”
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Standards for reporting optical biosensor experiments (STROBE): Improving standards in the reporting of optical biosensor-based data in the literature by Paul E. Belcher, Anna Moberg, Michael B. Murphy

“…To come to terms with this growing problem, we propose a standardization of the way biosensor data is reported in scientific journals. …”
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Comparative analysis of the environmental component when assigning an ESG rating by R. S. Golovnin

“…A significant problem with ESG (environmental, social, governance) ratings is their weak or complete incomparability. …”
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Reversing the Privatisation of the Public Sphere: Democratic Alternatives to the EU’s Regulation of Disinformation by Alvaro Oleart, Julia Rone

“…If disinformation is not simply a “bug” in the system, but a feature of profit-driven platforms, public–private cooperation emerges as part of the problem rather than a solution. …”
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Attention-CARU With Texture-Temporal Network for Video Depth Estimation by Sio-Kei Im, Ka-Hou Chan

“…RNN-based encoder-decoder architectures are the most commonly used methods for depth feature prediction, but recurrent operators have limitations of large-scale perspective from global information and also face the long-term dependency problem, which often leads to inaccurate prediction of object depth in complex scenes. …”
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The Comparison of Diffeomorphic Images Based on the Construction of Persistent Homology by Sergey N. Chukanov

“…An object shape analysis is a problem that is related to such areas as geometry, topology, image processing and machine learning. …”
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