Three-Dimensional Diffusion Model in Sports Dance Video Human Skeleton Detection and Extraction by Zhi Li

“…The research in this paper mainly includes as follows: for the principle of action recognition based on the 3D diffusion model convolutional neural network, the whole detection process is carried out from fine to coarse using a bottom-up approach; for the human skeleton detection accuracy, a multibranch multistage cascaded CNN structure is proposed, and this network structure enables the model to learn the relationship between the joints of the human body from the original image and effectively predict the occluded parts, allowing simultaneous prediction of skeleton point positions and skeleton point association information on the one hand, and refinement of the detection results in an iterative manner on the other. …”
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DeepEye: An Automatic Big Data Visualization Framework by Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li

“…An evolutionized system in the field faces the following three main challenges: (1) Visualization verification: to determine whether a visualization for a given dataset is interesting, from the viewpoint of human understanding; (2) Visualization search space: a "boring" dataset may become interesting after an arbitrary combination of operations such as selections, joins, and aggregations, among others; (3) On-time responses: do not deplete the user’s patience. In this paper, we present the DeepEye system to address these challenges. …”
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Impact of Ridge-Furrow Planting in Pakistan: Empirical Evidence from the Farmers Field by Imtiaz Hussain, Akhter Ali, Ansaar Ahmed, Hafiz Nasrullah, Badar ud Din Khokhar, Shahid Iqbal, Azhar Mahmood Aulakh, Atta ullah Khan, Jamil Akhter, Gulzar Ahmed

“…With decreased water availability, there is a need to adopt water use efficient planting techniques. The current paper uses two-year trials data set as well as farmer survey data to demonstrate benefits of ridge-furrow planting wheat and farmer perception regarding the technology in Pakistan. …”
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Musiktheorie und ›Satzlehre‹ im Kontext der Diskussion um Artistic Research by Robert Christoph Bauer

“…The following discussion paper approaches the phenomenon of artistic research from the perspective of a music theorist and traditionally trained composer (Satztechniker), setting subjective accents without claiming the elaboration of a general theory. …”
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Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…To address this issue, this paper proposes a model-based recursive partitioning (MBRP) algorithm to develop pedestrian exposure models. …”
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The Insulin Regulatory Network in Adult Hippocampus and Pancreatic Endocrine System by Masanao Machida, Shin Fujimaki, Ryo Hidaka, Makoto Asashima, Tomoko Kuwabara

“…Might it be possible to reactivate stem cells whose functions have deteriorated and that are present in the tissues in which the lesions occur in diabetes, a lifestyle disease, which plagues modern humans and develops as a result of the behavior of insulin-related factor? In this paper we summarize research in regard to these matters based on examples in recent years.…”
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A dataset for large prismatic lithium-ion battery cells (CALB L148N58A): Comprehensive characterization and real-world driving cyclesCALB L148N58A testing campaign by Simone Fasolato, Nicola Blasuttigh, Giacomo Galuppini, Davide M. Raimondo

“…This paper presents an experimental dataset for a batch of eleven prismatic CALB L148N58A lithium-ion B-grade battery cells with a nominal capacity of 58 Ah. …”
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Differential proteome analysis of pea roots at the early stages of symbiosis with nodule bacteria by I. V. Leppyanen, A. N. Kirienko, A. A. Lobov, E. A. Dolgikh

“…In this paper, we have analyzed changes in the proteomic spectrum of pea Pisum sativum L. roots during inoculation with rhizobial bacteria with the aim of revealing new regulators of symbiosis development. …”
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Experimental Study on Concentration and Size Distribution Characteristics of Particulate Matter in Cold and Hot Rolling by Yanpeng Wu, Meitong Jin, Xiaoyu Li, Junkai Tian, Bin Yang, Junliang Liu, Shujun Zhou, Faming Wang

“…The Rosin–Rammler particle size distribution function was applied to characterize particle size distribution at emission sources. This paper highlights the dynamic variations and spatial distribution patterns of particulate matter during rolling processes, providing key data for understanding particulate matter behavior in industrial environments and informing targeted pollution control strategies.…”
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Studies on Development of Polymeric Materials Using Gamma Irradiation for Contact and Intraocular Lenses by Pranshu Chhabra, Ruchi Gupta, Gunjan Suri, Mukti Tyagi, Geetha Seshadri, S. Sabharwal, U. K. Niyogi, R. K. Khandal

“…Selection of suitable monomers that can be converted into optical materials of desired characteristics is the most essential step. In the present paper, an attempt has been made to develop suitable optical polymers based on 2-hydroxy ethyl methacrylate (HEMA), N-vinyl pyrrolidone (NVP), methyl methacrylate (MMA), methacrylic acid (MAA), and styrene. …”
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Experimental Analyses of the Major Parameters Affecting the Intensity of Outbursts of Coal and Gas by W. Nie, S. J. Peng, J. Xu, L. R. Liu, G. Wang, J. B. Geng

“…Estimating the intensity of outbursts of coal and gas plays an important role because of its relation with the risk value. In this paper, we described the semiquantitative relations between major parameters and intensity of outburst based on physical experiments. …”
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Reasonable Scope of Kilometer Drilling in Lower Layer of Extrathick Coal Seam: A Case Study of Tingnan Coal Mine, China by Delong Zou, Xiang Zhang

“…The 205 working face of Tingnan Coal Mine is taken as the test background in this paper, and based on the “pressure-relief and flow-increase” effect of the lower layer under the action of mining stress during the upper layer mining, the gas drainage of kilometer directional drilling in lower layer is studied. …”
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3GPP-Compliant Datasets for xG Location-Aware Networks by Andrea Conti, Gianluca Torsoli, Carlos A. Gomez-Vega, Alessandro Vaccari, Gianluca Mazzini, Moe Z. Win

“…In this context, the availability of public datasets with 3GPP-compliant configurations is essential to advance the evolution of xG networks. This paper introduces xG-Loc, the first open dataset for localization algorithms and services fully compliant with 3GPP technical reports and specifications. xG-Loc includes received localization signals, measurements, and analytics for different network and signal configurations in indoor and outdoor scenarios with center frequencies from micro-waves in frequency range 1 (FR1) to millimeter-waves in frequency range 2 (FR2). …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…Machine learning has become a potent tool in the search for more precise and effective diagnostic techniques because of its capacity to analyze enormous volumes of data and identify intricate patterns. This review paper explores the state-of-the-art developments in machine learning methods designed especially for skin disease identification. …”
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Mężczyzna w edukacji przedszkolnej: prolegomena do badań w Polsce/ Male in the occupation of a nursery school teacher: prolegomena to empirical research in Poland by Urszula Ordon

“…In the research, the analytic-synthetic method of investigating the literature of the subject is applied. The paper is commenced with the analysis of the state of research in Poland. …”
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Leptospira and Inflammation by C. F. Gonçalves-de-Albuquerque, P. Burth, A. R. Silva, M. Younes-Ibrahim, H. C. Castro-Faria-Neto, M. V. Castro-Faria

“…Leptospirosis is an important zoonosis and has a worldwide impact on public health. This paper will discuss both the role of immunogenic and pathogenic molecules during leptospirosis infection and possible new targets for immunotherapy against leptospira components. …”
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A New Modified Peck Formula for Predicting the Surface Settlement Based on Stochastic Medium Theory by Zhanping Song, Xiaoxu Tian, Yuwei Zhang

“…To solve this problem, in this paper, a simple and accurate prediction approach for surface settlement was obtained by improving the Peck method based on the basic idea of stochastic medium theory. …”
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Crack initiation and fracture features of Fe–Co–B–Si–Nb bulk metallic glass during compression by S. Lesz, A. Januszka, S. Griner, R. Nowosielski

“…The aim of the paper was investigation crack initiation and fracture features developed during compression of Fe-based bulk metallic glass (BMG). …”
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White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient by Zhengjie Li, Jiajun Liu, Jianhui Zheng, Luying Li, Ying Fu, Zhipeng Yang

“…However, previous studies on brain functional gradients have predominantly focused on GM, neglecting valuable functional information within WM. Methods: In this paper, we have elucidated the symmetrical nature of the functional hierarchy in the left and right brain hemispheres in healthy individuals, utilizing the principal functional gradient of the whole-brain WM while also accounting for gender differences. …”
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Fast demagnetization method for power transformers combined with residual flux measurement by Yuzhan Ren, Chengcheng Liu, Youhua Wang

“…In addition, the lack of effective Br measurement methods makes it impossible to evaluate the demagnetization effect. Therefore, this paper proposes a demagnetization method that considers the amount of Br, which achieves accurate measurement and quantitative elimination of Br in the transformer core. …”
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