A Fast Analytical Method for Elastic–Plastic Analysis of Threaded Connections by Carlo Brutti, Corrado Groth, Marco Evangelos Biancolini

“…This paper presents a novel extension of Maduschka’s classical method, offering a fast and efficient analytical approach to evaluate the behavior of screw–nut–washer assemblies. …”
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Exploring the Potential of Lateritic Aggregates in Pervious Concrete: A Study on Mechanical Properties and Predictive Techniques by Pushparaj A. Naik, Shriram Marathe

“…The research aims to evaluate the compressive strength, split tensile strength, and permeability of pervious concrete mixes with varying void ratios (20% and 24%) and aggregate sizes. …”
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Dem-driven investigation and AutoML-Enhanced prediction of Macroscopic behavior in cementitious composites with Variable frictional parameters by Vahid Shafaie, Majid Movahedi Rad

“…This study presents a numerical investigation and predictive modeling framework to evaluate the influence of microscale frictional parameters on the mechanical behavior and failure mechanisms of cementitious composites. …”
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Manifestations of tuberculous infection in children with a positive result of the test with tuberculosis recombinant allergen by E. P. Shilova, L. V. Poddubnaya, I. M. Stepchenko

“…In 217 children with a positive result of the test with tuberculosis recombinant allergen (TRA) followed up in a TB dispensary, the results of clinical and radiological (multispiral computed tomography MSCT) examinations were studied and the response to the test with TRA during monitoring (within 3 years) was evaluated to justify terms of dispensary follow-up.Results. …”
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Security Challenges and Performance Trade-Offs in On-Chain and Off-Chain Blockchain Storage: A Comprehensive Review by Haluk Eren, Özgür Karaduman, Muharrem Tuncay Gençoğlu

“…As a result, this study evaluates the optimization of security protocols, the efficiency of hybrid systems, and the sustainability of distributed storage solutions, contributing to future research in this field.…”
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ADSTrack: adaptive dynamic sampling for visual tracking by Zhenhai Wang, Lutao Yuan, Ying Ren, Sen Zhang, Hongyu Tian

“…We add several extra tokens as auxiliary tokens to the backbone to further optimize the feature map. We extensively evaluate ADSTrack, achieving satisfactory results for seven test sets, including UAV123 and LaSOT.…”
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An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention by Qifeng Niu, Hui Wang, Feng Xu

“…Extensive evaluations on benchmark datasets demonstrate the effectiveness of the proposed method. …”
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System Identification Based Proxy Model of a Reservoir under Water Injection by Berihun M. Negash, Lemma D. Tufa, M. Ramasamy, Mariyamni Bt. Awang

“…Proxy models are lighter mathematical models that run faster and perform in place of heavier models that require large computations. Nevertheless, to acquire data for modeling and validation and develop the proxy model itself, hundreds of simulation runs are required. …”
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Application of Mixed-Integer Linear Programming Models for the Sustainable Management of Vine Pruning Residual Biomass: An Integrated Theoretical Approach by Leonel J. R. Nunes

“…However, key limitations, such as computational complexity and adaptability to dynamic environments, are noted. …”
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A Photoacoustic Imaging Algorithm Based on Regularized Smoothed L0 Norm Minimization by Xueyan Liu, Limei Zhang, Yining Zhang, Lishan Qiao

“…In order to evaluate the performance of the ReSL0 algorithm, we reconstruct the simulated dataset obtained from three phantoms. …”
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Optimising the Grinding Wheel Design for Flute Grinding Processes Utilising Numerical Analysis of the Complex Contact Conditions by Eckart UHLMANN, Bernhard GÜLZOW, Arunan MUTHULINGAM

“…The influence of different grinding parameters on the effective contact length, the specific material removal rate and the equivalent chip thickness was evaluated by employing the computer-based model. The generated results were then used to develop a new optimised tool concept for a more efficient flute grinding process.…”
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Experimental dissection of tuberculosis protective immunity: a human perspective by Sarah Schmidiger, Sarah Schmidiger, Damien Portevin, Damien Portevin

“…Moving away from cell-line infections and classical animal models, TB research has advanced to genetically diverse mice, 3D organoid cultures and computational modelling. We will review current TB models and discuss their applicability to decipher protective human immunity, understand disease progression, transmission, as well as evaluate vaccine candidates and unravel host-directed therapeutic approaches.…”
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Viscosity of Asphalt Binder through Equilibrium and Non-Equilibrium Molecular Dynamics Simulations by Xiancheng Hu, Xiaohan Huang, Yuanbin Zhou, Jiandong Zhang, Hongquan Lu

“…Viscosity is a curial indicator for evaluating asphalt performance, representing its ability to resist deformation under external forces. …”
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Investigation of the effect of parameter estimation and classification accuracy in mixture IRT models under different conditions by Hakan Yavuz Atar, Fatıma Münevver Saatçioğlu

“…Additionally, a factorial ANOVA was used to evaluate each factor's main effects and interaction effects.…”
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Location Problem - Routing a vehicle with a specified fuel capacity based on a tough time window and customer satisfaction by Mohammad Moshrefi

“…The result of computational experiments, shows the efficiency of the existing research methodology and its strengths and weaknesses.…”
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Assessment of Jaw Bone Density Using Cone-Beam CT in Patients with Osteoporosis: A Cross-Sectional Study by Sowmy S. Kanneppady, Sham K. Kanneppady, Kahamnuk Jamatia, Kumudhati Tiwari, Surabhi S. Ausare, Ayushi Dash, Afroz K. Syed

“…Assessing jaw bone density is vital for early detection and treatment planning, especially in dental and maxillofacial contexts. Cone-beam computed tomography (CBCT) has emerged as an essential tool for evaluating bone quality in osteoporotic patients. …”
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An Enhanced Measurement of Epicardial Fat Segmentation and Severity Classification using Modified U-Net and FOA-guided XGBoost by Rajalakshmi K, Palanivel Rajan S

“…The selected features are then classified using the XGBoost algorithm to determine the fat severity. Experimental evaluations on a CT image dataset show the superior segmentation performance of the proposed U-Net compared to existing architectures. …”
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Camrelizumab plus rivoceranib compared sorafenib as first-line therapeutic options for advanced hepatocellular carcinoma in China: a cost-effectiveness analysis by Zhiwei Zheng, Hongfu Cai, Jingwen Lin, Huide Zhu

“…This computation resulted in an incremental cost-effectiveness ratio of US$9147.012 per QALY, which was lower than the willingness-to-pay threshold of US$39 855.785 per QALY in China. …”
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Pre-Routing Slack Prediction Based on Graph Attention Network by Jinke Li, Jiahui Hu, Yue Wu, Xiaoyan Yang

“…To address this issue, this paper proposes a timing engine based on Graph Attention Network (GAT) to predict the slack of timing endpoints. Firstly, our model computes net embeddings for each node prior to training using a gated self-attention module. …”
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Structure of somatic pathology in patients with rhonchopathy by M. A. Ryabova, S. A. Karpishchenko, M. Yu. Ulupov, A. R. Faizova, A. V. Zinchenko

“…All patients underwent computed tomography of the maxillofacial region using contrast technique of the soft palate before radiation diagnosis with the followed morphometry.Results. …”
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