A simulation study on strength and fatigue analysis of hydraulic excavator buckets by Wenbin Pan

“…The experimental results show that the simulation results of the method are closer to the measured results, the relative error is controlled within 5%, and the computational efficiency is improved by about 80% compared with the traditional method. …”
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Design and implementation of a cluster virtualization based fine snapshot system by XIANG Xiao-jia, SHU Ji-wu, YU Hong-liang

“…A fine snapshot technology in volume level was presented which could be used to keep old data flexibly and frequently,to recovery from deletion,to limit exposure to data lose for logic volumes.First,two kinds of logic volumes namely,checkpoint and finesnap were designed and used as containers of snapshot data.Linking checkpoint volumes and finesnap volumes together by the order of time could make up of a hybrid snapshot chain,with which both good per-formance and high efficiency on storage usage were available.Second,a bitmap in each finesnap volume to accelerate data searching and reduce the memory exhausted was incorporated.Evaluation results from representative experiments demonstrate that the prototype system,named LV-Fine,has the ability to provide good performance,and to introduce less storage overhead than LVM2,the famous cluster virtualization system.…”
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TSRF: A Trust-Aware Secure Routing Framework in Wireless Sensor Networks by Junqi Duan, Dong Yang, Haoqing Zhu, Sidong Zhang, Jing Zhao

“…We show with the help of simulations that TSRF can achieve both intended security and high efficiency suitable for WSN-based networks.…”
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Becoming a Learning Organization Through Dynamic Business Process Management by Marek Szelągowski

“…As customers demand easier access to individualized products and services, companies now face an ongoing problem of how to deliver flexible and innovative solutions while maintaining efficiency and competitiveness. In this environment, the only sustainable form of competitive advantage rests in the ability to learn faster than the competition (de Geus, 1988). …”
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A Hybrid Particle Swarm Optimization Algorithm for the Economic Dispatch Problem by Dinu Secui

“…The HPSO algorithmâs efficiency in solving the ED problem is shown through a comparison with several other recently published algorithms.…”
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The application of deep learning-based technique detection model in table tennis teaching and learning by Shunshui He

“…The results showed that the success rate and accuracy score of the model were 95 % and 96 %, respectively, with a calculation time of only 21.75 ms, indicating high analytical accuracy and computational efficiency. Meanwhile, the winning rate of the training strategy under this method can reach over 65 %, effectively improving the winning rate of athletes. …”
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Research on Dynamic Characteristics of Stock Market Based on Big Data Analysis by Ping Yang, Xiaohong Hou

“…This paper analyzes the change of stock market efficiency from the perspective of dynamic evolution, and the recursive graph method is used to obtain the dynamic characteristics of stock price time series. …”
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The Experimental Design of Thermoelectric Generator for Industrial Waste Heat Recovery by Abdullah Hakan Yavuz, Cem Emeksiz, Oğuzhan Sönmez

“…Thus, hybrid-TEGs were noted being the significant alternative for the recovery of waste heat and their necessity were seen in terms of the energy efficiency, as well.…”
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Private equity and reproductive medicine: “Fertile breeding ground” – a physician’s perspective” by Andreas Abraham Zadeh

“…As PE firms increasingly acquire fertility clinics and related healthcare services, they bring promises of operational efficiency, expanded access, and innovation. At the same time, these developments have come under growing scrutiny, raising critical concerns about the commercialization of care, equity of access, and the long-term impact on clinical outcomes. …”
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A Hybrid Fault Diagnosis Model for Rolling Bearing With Optimized VMD and Fuzzy Dispersion Entropy by Xin Xia, Xiaolu Wang, Weilin Chen

“…The vibration signal of rolling beating is nonlinear and nonstationary, which makes feature extraction difficult for fault diagnosis. To improve the efficiency of feature extraction and fault diagnosis, a hybrid model based on optimized variational mode decomposition (VMD), fuzzy dispersion entropy (FDE), and a support vector machine (SVM) is proposed. …”
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Association between the type of dental prosthesis and the masticatory performance of institutionalized patients: A cross-sectional study. by Antonia Christina Samiou, Maria Kokoti, Theodora Slini, Vassiliki Anastassiadou, Bernd Kordaß, Athina Bakopoulou

“…This cross-sectional study aimed to determine the chewing ability of 97 institutionalized older adults and its relevance to their status of dentition and type of prosthetic rehabilitation. …”
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Effectiveness Evaluation of Underwater Heterogeneous Platforms Based on ADC Model by Xin ZHANG, Jin PAN, Jing ZHANG, Boheng CHEN, Ming REN, Dong GUO

“…Equipment clusters are gradually emerging as a key way to improve the efficiency of underwater tasks. Traditional availability dependability capacity(ADC) models make it difficult to evaluate the collaborative ability of an underwater heterogeneous platform composed of multi-type equipment. …”
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IN VITRO STIMULATION OF ANTITUMOR CYTOTOXIC ACTIVITY OF MONONUCLEAR CELLS FROM COLORECTAL CANCER PATIENTS by V. V. Kurilin, Yu. N. Khantakova, I. A. Obleukhova, Yu. A. Shevchenko, E. V. Kulikova, V. K. Yakushenko, A. V. Sokolov, S. V. Sennikov

“…In present study, we investigated the in vitro ability of autologous dendritic cells loaded with tumor lysate antigens to stimulate cytotoxic and secretory activity of effector cells from patients with colorectal cancer. …”
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An improvement of both security and reliability for AES implementations by Mouna Bedoui, Hassen Mestiri, Belgacem Bouallegue, Belgacem Hamdi, Mohsen Machhout

“…The present paper aims to protect the AES algorithm against fault injection attacks. In this paper, an efficient fault detection method for the AES algorithm has been developed. …”
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Research progress and strategies for the biosynthesis of keratinocyte growth factor-2 (KGF-2) in Arabidopsis thaliana by Chengyang Song, Guangdong Yu, Shuang Gao, Wengang Zhao, Yunpeng Wang, Nuo Xu

“…Arabidopsis thaliana has many advantages, such as short growth cycle, high transformation efficiency, large biomass and hair growth promotion substances. …”
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Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors by Aeshah H. Alamri, N. Alhazmi

“…The variable importance results using the PLS indicates that molecular mass, molecular volume, electrophilicity, electronegativity, energy of the lowest unoccupied molecular orbital, electron affinity, and the logarithm of the partition coefficient were the main factors that determine the inhibition efficiencies. RF was used to capture the nonlinear nature of the data and to accurately predict the inhibition efficiency. …”
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Improving P-Doped DBRs Operation at Cryogenic Temperatures: Investigating Different Mirror Geometry by Behzad Namvar, Topi Uusitalo, Heikki Virtanen, Mircea Guina, Jukka Viheriala

“…In order to achieve energy-efficient operation of a cryo-VCSEL, whether by passing current through the mirrors or utilizing intra-cavity contacts, a critical bottleneck for improving the operation is related to the p-doped distribute Bragg Reflectors (DBRs). …”
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Meta‐Device for Field‐of‐View Tunability via Adaptive Optical Spatial Differentiation by Yin Zhou, Lin Li, Junhao Zhang, Jialuo Cheng, Xiaoyuan Liu, Yunhui Gao, Zihan Geng, Lei Li, Junxiao Zhou, Mu Ku Chen

“…The proposed scheme presents new opportunities for efficient, flexible, high‐capacity integrated data processing and imaging devices. …”
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Selección de proveedores con el método PSI by Ángel Rodríguez Rodriguez, Raquel Irene Laguado Ramírez, Belisario Peña Rodríguez, Lida Yaneth Maldonado Mateus

“…The Preference Selection Index (PSI) method is a powerful multi-criteria decision-making (MCDM) tool that has gained popularity for its ability to evaluate alternatives without the need to assign relative weights to the criteria. …”
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Enhancing Small Language Models for Graph Tasks Through Graph Encoder Integration by Dongryul Oh, Sujin Kang, Heejin Kim, Dongsuk Oh

“…This integration significantly enhances the ability of SLMs to handle graph-centric tasks while maintaining the efficiency required for resource-constrained devices. …”
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