Pin Row Loading Analysis of Scraper Conveyor under Oblique Cut Condition by Mao Jun, Tian Song, Chen Hongyue

“…According to the force analysis of roller,the equation set of roller in the process of cutting by three- axis force is derived.Combining the MATLAB programming,the curve of the before and after roller load changing with the rotation angle under the oblique cut condition is obtained.With shearer machine as the research object,the whole machine mechanical equation is listed,the mathematical computing model is established.Based on MATLAB programming,combining with the before and after roller load changing curve under the oblique cut condition,the before and after sliding shoe load curves under the oblique cut condition is obtained.Due the contact relation between the sliding shoe and pin row and the principle of force mutual action,the curve of load acting on the pin rows under the oblique cut condition is achieved.And through the ANSYS Workbench simulation analysis,the stress distribution and deformation of pin rows of scraper conveyor are got.A reference for the future of design and analysis of damage causes of scraper conveyor pin row is provided.…”
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New provable data transfer from provable data possession and deletion for secure cloud storage by Yudong Liu, Shuai Xiao, Han Wang, Xu An Wang

“…With the continuous and rapid development of cloud computing, it becomes more popular for users to outsource large-scale data files to cloud servers for storage and computation. …”
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Geo-Statistics and Deep Learning-Based Algorithm Design for Real-Time Bus Geo-Location and Arrival Time Estimation Features with Load Resiliency Capacity by Smail Tigani

“…By employing decentralized data processing, our system significantly reduces network traffic and computational load, enabling data sharing and sophisticated analysis. …”
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Hybrid Boson Sampling by Vitaly Kocharovsky

“…We propose boson sampling from a system of coupled photons and Bose–Einstein condensed atoms placed inside a multi-mode cavity as a simulation process testing the quantum advantage of quantum systems over classical computers. …”
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Outsourced ciphertext-policy attribute-based encryption with partial policy hidden by Jinxia Yu, Guanghui He, Xixi Yan, Yongli Tang, Rongxia Qin

“…However, how to realize the attribute privacy concerns in the access policy and optimize the heavy computing overhead have been not adequately addressed. …”
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Aerosol Distribution Due to Wildfire in Sumatra, Indonesia Considered from Model Simulation by Makiko Nakata, Sonoyo Mukai

“…The results of this study show that the injection process in the model simulations has a significant impact on the aerosol distribution. …”
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Low variance estimations of many observables with tensor networks and informationally-complete measurements by Stefano Mangini, Daniel Cavalcanti

“…Accurately estimating the properties of quantum systems is a central challenge in quantum computing and quantum information. We propose a method to obtain unbiased estimators of multiple observables with low statistical error by post-processing informationally complete measurements using tensor networks. …”
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A Size-Perimeter Discrete Growth Model for Percolation Clusters by Bendegúz Dezső Bak, Tamás Kalmár-Nagy

“…An iterative cluster growth model is considered for computing the expected size and perimeter of the growing cluster. …”
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VECT: an automatic visual Perl programming tool for nonprogrammers by Hui-Hsien Chou

“…Modern high-throughput biological research produces enormous amount of data that must be processed by computers, but many biologists dealing with these data are not professional programmers. …”
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Use of hybrid quantum-classical algorithms for enhancing biomarker classification. by Aninda Astuti, Pin-Keng Shih, Shan-Chih Lee, Venugopala Reddy Mekala, Ezra B Wijaya, Ka-Lok Ng

“…Quantum machine learning (QML) combines quantum computing with machine learning, offering potential for solving intricate problems. …”
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Research on enterprise digital transformation: A case study of Alibaba by Zhang Ao

“…According to the research results of this paper, it is suggested that in the future digital transformation process, enterprises should strengthen investment in digital infrastructure and talent training, which is the most fundamental step of digital transformation.…”
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Multi-version consolidation method for block-level backup data by WANG Shu-peng 1, WU Guang-jun1, WU Zhi-gang3, YUN Xiao-chun1

“…Historical version backup data query efficiency was dependent on the version chain length in a multi-version backup data storage system.A novel block-level backup data multi-version consolidation method was presented for this problem.Any version of a historical full system snapshot could be generated within the incremental backup data version sequence.Theoretical analysis showed that it could increase the target snapshot version query efficiency significantly in the version chain.A variable-length block version merging algorithm was presented to decrease the computing complex-ity in the process of snapshot version merging,according to the block-level backup data distribution features.Finally,the concrete applications and performance analysis for block-level version consolidation method was also introduced.The simulated experiments results expose that the version consolidation method can eliminate redundant version of backup data with the same version chain length,and it can increase full system recovery efficiency than traditional methods sig-nificantly.…”
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Model Building and Simulation of the Electric Brake Energy of Urban Rail Vehicle by 师蔚, 方宇

“…By analyzing conditions that urban rail vehicles in the traction power supply network occur the regenerative braking or resistor braking in electric braking process, and depending on the grouping of vehicles, lines, load, run strategy, operation plans, traction power supply and other basic conditions, based on single vehicle computing model and multi-vehicles power supply network model, electric braking energy distribution model were established and simulation were carried out. …”
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TraIL: Pinpoint Trajectory for Indoor Localization by Shengnan Li, Zheng Qin, Chenshu Wu, Zheng Yang

“…Indoor localization on smartphones is an enabler for a number of ubiquitous and mobile computing applications attracting worldwide attentions. …”
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DEVELOPMENT OF THE MARKET OF ELECTRONIC INSURANCE by G. I. Shepelin

“…The paper is focused on cloud computing technologies, namely methods of distributed data processing, that make computer resources and capacities available to the user as an Internet service used in the insurance market, along with the description of their structure and specifics. …”
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Strategies for implementing quantum error correction in molecular rotation by Brandon J. Furey, Zhenlin Wu, Mariano Isaza-Monsalve, Stefan Walser, Elyas Mattivi, René Nardi, Philipp Schindler

“…The presented strategies and methods might enable robust sensing or even fault-tolerant quantum computing using the rotation of individual molecules.…”
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Torsion point attacks on ‘SIDH‐like’ cryptosystems by Péter Kutas, Christophe Petit

“…The best‐known protocol following that approach is the supersingular isogeny Diffie–Hellman protocol (SIDH); this protocol was turned into the CCA‐secure key encapsulation mechanism SIKE, which was submitted to and remains in the third round of NIST's post‐quantum standardisation process as an ‘alternate’ candidate. Isogeny‐based cryptography generally relies on the conjectured hardness of computing an isogeny between two isogenous elliptic curves, and most cryptanalytic work referenced on SIKE's webpage exclusively focusses on that problem. …”
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Flipping the Classroom for higher Education Learners to Improve Productive and Receptive Skills by Cristina

“…Overall, the results of the study have shown the positive impact of this method on the teaching/learning process in the EFL classes for Tourism students, contributing to their motivation and development of their professional skills.…”
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Comparative analysis of audio-MAE and MAE-AST models for real-time audio classification by Lesia Mochurad

“…The main challenges include processing large amounts of data, particularly for high-quality audio files, which require significant computing resources. …”
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Penerapan Model Algoritma Unsupervised Learning untuk Klasterisasi Tingkat Kenyamanan Ruang Tidur berdasarkan Faktor Lingkungan by Mhd Idham Khalif, Listyo Edi Prabowo

“… Pada era revolusi industri 4.0, teknologi seperti cloud computing, robotic, internet of things(IoT), artificial intelligence (AI) dan machine learning (ML) sangat banyak dikembangkan di berbagai sektor seperti industri, pemerintahan, pendidikan hingga ke sektor rumah tangga. …”
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