Research on blindsight technology for object recognition and attitude determination based on tactile pressure analysis by Chen Li, Li HuiJun, Song Aiguo

“…Abstract Aiming at the existing robotic hand’s reliance on visual guidance for object recognition during the grasping process, which is limited by environmental lighting and object occlusion, this paper is committed to proposing a method for object recognition and posture determination based on contact force feedback. …”
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Study of the axial-vector and tensor resonant contributions to the $$D \rightarrow VP\ell ^+\nu _\ell $$ D → V P ℓ + ν ℓ decays based on SU(3) flavor analysis by Yi Qiao, Yue-Xin Liu, Yuan-Guo Xu, Ru-Min Wang

“…The branching ratios of the $$D \rightarrow M \ell ^+ \nu _\ell $$ D → M ℓ + ν ℓ , $$M \rightarrow VP$$ M → V P , and $$D\rightarrow M(M\rightarrow VP)\ell ^+\nu _\ell $$ D → M ( M → V P ) ℓ + ν ℓ decays are then predicted. We find that some processes receive both tensor and axial-vector resonant contributions, while other processes receive only axial-vector resonant contributions. …”
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Fast-Switching SVR Weight Coefficient Design for the MPTC of Double Three-Phase PMSM by Huanzhen Zhang, Shaosheng Fan, Gongping Wu

“…Due to the lack of an explicit theory to guide the design of the weight coefficients, the weight coefficients can only be set through a large number of simulations and experiments in applications, and the tuning process is very cumbersome. Therefore, the support vector machine regression (SVR) method was used to improve the tedious calculation and tuning process of MPTC of DT-PMSM. …”
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Artificial Intelligence Based Determination of Cracks in Eggshell Using Sound Signals by Zekeriya Balcı, İsmail Yabanova

“…As a result of the application of studied methods, the accuracy values of crack detection process were 0.99 for ANN and 1 for SVM. In addition, a data acquisition and processing program was developed in LABVIEW environment to detect cracks in real time.…”
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On the ambiguity of mechanical power by V. D. Pavlov

“…Mechanical vibrations are widespread in the production processes. The drives of machines and mechanisms are mainly electromechanical, so mechanical reactive power is transformed into electrical reactive power of the network, impairing the quality of electricity. …”
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Green synthesis of silver nanoparticles derived from algae and their larvicidal properties to control Aedes aegypti by Matheus Alves Siqueira de Assunção, Douglas Dourado, Daiane Rodrigues dos Santos, Gabriel Bezerra Faierstein, Mara Elga Medeiros Braga, Severino Alves Junior, Rosângela Maria Rodrigues Barbosa, Herminio José Cipriano de Sousa, Fábio Rocha Formiga

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Transcriptome Analysis of <i>Culex pipiens quinquefasciatus</i> Larvae Exposed to a Semi-Lethal Dose of Vermistatin by Junhui Chen, Zhiyong Xu, Feiying Yang, Jian Yang, Wendong Kuang, Jianghuai Li, Yaqi Wang, Liang Jin

“…<i>Culex pipiens quinquefasciatus</i> is a notorious vector transmitting severe diseases such as Zika virus and West Nile virus to humans worldwide. …”
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Development of Quantitative Real-Time PCR Tests for the Identification of Biting Midge Species and Clades (Diptera: Ceratopogonidae) of the Obsoletus Group (Subgenus <i>Avaritia</i... by Oliver Dähn, Bernd Hoffmann, Doreen Werner, Bruno Mathieu, Helge Kampen

“…Although extensive efforts have been made to clarify vector–pathogen relationships, one of the most important steps in this process—correct species identification—remains difficult, due to the presence of isomorphic species within the Obsoletus Group. …”
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Context is Key: Aligning Large Language Models with Human Moral Judgments through Retrieval-Augmented Generation by Matthew Boraske, Richard Burns

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RESEARCH ON GEARBOX FAULT DIAGNOSIS BASE ON ISOMAP AND IGA-SVM by LIU ZhiChuan, TANG LiWei, CAO LiJun

“…A method for optimizing support vector machine（ SVM） parameters was proposed based on isometric feature mapping（ Isomap） and improved genetic algorithm（ IGA）,to solve the problem that parameters are difficult to choose in the process of gearbox fault diagnosis and recognition. …”
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Prediction of rock type from physical and mechanical properties by data mining implementations by Fatih Bayram

“…The experience of the geologists conducting these investigations is also very influential in rock type description. In many cases, this process is time-consuming. With these investigations come extra costs, and, in some cases, relative or inaccurate descriptions can also affect operating costs. …”
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A Novel VNA-Enhanced Technique for Ka-Band Insertion Loss Measurement in Microstrip Lines by Ching-Wen Tang, Wei-Lun Tsai, Chieh Lee, You-Lin Luo

“…A novel measurement technique has been developed to enhance the accuracy of insertion loss measurements using vector network analyzers (VNAs), addressing the challenge of data fluctuations &#x2014; a critical factor in determining circuit bandwidth and ensuring high-frequency signal integrity. …”
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Aedes aegypti VLG-1 challenges the assumed antiviral nature of Vago genes by Elodie Couderc, Anna B. Crist, Josquin Daron, Hugo Varet, Femke A. H. van Hout, Pascal Miesen, Umberto Palatini, Stéphanie Dabo, Thomas Vial, Louis Lambrechts, Sarah H. Merkling

“…Using CRISPR/Cas9-mediated gene editing, we generated a VLG-1 mutant line of Ae. aegypti, which revealed a broad impact of VLG-1 on the mosquito transcriptome, affecting several biological processes potentially related to viral replication, including the oxidative stress response. …”
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The choice of tactics of treatment of patients at the endo periodontal defeats with primary defeat of the parodont and secondary involvement of the endodont by S. L. Blashkova, Yu. V. Fazylova, L. V. Alferov, D. Sh. Khasanov

“…In the main group the basic and supporting therapy of pathology of the parodont included processing the parodontalnykh of pockets the VectortmParo system. …”
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Enhancing RAG Performance by Representing Hierarchical Nodes in Headers for Tabular Data by Minchae Song

“…This improvement is attributed to the utilization of table header representations, which allow for a more precise identification of hierarchical node-based headers during the table retrieval process. Furthermore, this study confirms that vector database achieves greater accuracy when employing a distributed table collection (DTC) structure than a unified context collection (UCC). …”
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Development of the Theoretical Approach Based on Matrix Theory for Analyzing the State of Information Security Systems by Bobok I.I., Kobozeva A.A.

“…It is shown that the stabilization process is determined by the mathematical properties of the pa-rameters under consideration. …”
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A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients by Min-Wei Huang, Qun-Wei Chang, Wen-Lin Chu

“…Methods Our research methodology encompasses a comprehensive system framework designed to analyze EEG signals with the Positive and Negative Syndrome Scale (PANSS) for correlation analysis. The process involves: (1) administering the PANSS test to create a database of schizophrenia patients; (2) developing a visual concentration test system that measures EEG signals in real-time; (3) processing these signals to construct an EEG feature database; (4) employing support vector machine and decision tree methods for illness severity classification; (5) conducting statistical analysis to correlate PANSS scores with EEG features, assessing the effectiveness of these correlations in clinical applications. …”
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An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention by Chengbin Zeng, Liang Zhang

“…To further improve the information representation within the latent space Z, we design a hyper-prior encoder, which leverages neighborhood attention to perform feature enhancement and transformation. This process can minimize quantization errors and facilitate efficient vector quantization. …”
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Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning by Alyaman H. Massarani, Mahmoud M. Badr, Mohamed Baza, Hani Alshahrani, Ali Alshehri

“…These prototypes are then used to train base-level one-class classifiers, specifically the One-Class Support Vector Machine (OCSVM) and the Gaussian Mixture Model (GMM). …”
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Extravasation of Borrelia burgdorferi Across the Blood–Brain Barrier is an Extremely Rare Event by Linus Wang, Zikai Xia, Anjan Singh, Bhavna Murarka, Nicole Baumgarth, John N. Aucott, Peter C. Searson

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