Analysis of differential gene expression of PBMC for the in vitro detection of drug sensitization by Andreas Glässner, Michael Steffens, Amol Fatangare, Gerda Wurpts, Per Hoffmann, Philipp N. Deck, Christine Krämer, Stefani Röseler, Albert Sickmann, Markus M. Nöthen, Amir S. Yazdi, Bernhardt Sachs

“…Methods: Blood samples from 40 patients with allergy to different drugs and from 40 non-drug-allergic controls were recruited. …”
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Comprehensive systematic review and meta-analysis of the TGF-β1 T869C gene polymorphism and autoimmune disease susceptibility by Yawen Zhu, Ai Qian, Yuanyuan Cheng, Ming Li, Chuanbing Huang

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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…The adoption of individual difference parameterization methods, combined with a multi-level cascade prediction framework system design, significantly enhances the prediction accuracy of health risk probability. …”
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The Effect of Storage Time of Fresh Human Amniotic Membrane on the Levels of Growth Factors Epidermal Growth Factor, Transforming Growth Factor Beta, and Basic Fibroblast Growth Fa... by Ida Bagus Nyoman Ananta Awatara, Yuanita Safitri Dianti, Sitti Rizaliyana, Vijayendran Swaminathan

“…Statistical analysis (Mann–Whitney test) showed no significant difference between the 3-month and 9-month groups (P = 0.689). …”
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A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…This shows significant differences between estimated and true values. Therefore, this study proposes a method for estimating magnetic source parameters based on the LM-OBF algorithm. …”
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Generalized Thermoelastic Interactions Using an Eigenvalue Technique in a Transversely Isotropic Unbounded Medium with Memory Having a Line Heat Source by Tanmoy Seth, Md Abul Kashim Molla, Sadek Hossain Mallik

“…A cylindrical polar coordinates system has been used to describe the problem and the eigenvalue technique has been adopted to solve the governing field equations in the transformed domain of Laplace. The solution for different thermophysical quantities is obtained in the real space-time domain using the Stehfest method for numerical Laplace inversion. …”
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Analysis and Optimization of a New Variable Drive Plane 5R Parallel Mechanism by Baolei Zhang, Guanghao Liu

“…A new planar 5R parallel mechanism with nine driving methods is proposed to solve the problem of system performance degradation caused by different driving methods of parallel mechanisms. …”
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Advancing 1.5T MR imaging: toward achieving 3T quality through deep learning super-resolution techniques by Sk Rahatul Jannat, Kirsten Lynch, Maryam Fotouhi, Steve Cen, Steve Cen, Jeiran Choupan, Nasim Sheikh-Bahaei, Nasim Sheikh-Bahaei, Gaurav Pandey, Bino A. Varghese

“…Specifically, we employed metrics such as the Structural Similarity Index Measure (SSIM), Peak Signal-to-Noise Ratio (PSNR), Learned Perceptual Image Patch Similarity (LPIPS), and Intensity Differences in Pixels (IDP) to evaluate the similitude and visual quality of the enhanced images.ResultsAccording to our experimental results it has been exhibited that among the three evaluated deep learning-based super-resolution techniques, the Transformer Enhanced Generative Adversarial Network (TCGAN) significantly outperformed the others. …”
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Happiness management and workplace well-being: Evolution, key insights, and future directions. A systematic review by Mario Alberto Salazar-Altamirano, Esthela Galván Vela, Rafael Ravina-Ripoll, Mónica Lorena Sánchez-Limón

“…Additionally, the effects of COVID-19, digital transformation, and automation on employee well-being remain underexplored. …”
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Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis by Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang

“…This systematic review and meta-analysis aims to evaluate the evolution and performance of deep learning in tooth segmentation. Methods We systematically searched PubMed, Web of Science, Scopus, IEEE Xplore, arXiv.org, and ACM for studies investigating deep learning in human tooth segmentation from CT/CBCT. …”
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Ground Fault Location of Large Generator and External Components by Siteng ZHAO, Lin GUI, Qixue ZHANG, Xiangheng WANG

“…The key to this location method is to measure the zero-sequence current of generator terminal and high-voltage side of excitation transformer/unit auxiliary transformer. …”
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Energy transfer aspects of chemically reactive Casson fluid between a conical gap of cone-disk system with multiple rotations by M. Qamar, M. Khan, A.S. Alqahtani, M.Y. Malik

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Predicting trajectories of coastal area vessels with a lightweight Slice-Diff self attention by Jinxu Zhang, Jin Liu, Xiliang Zhang, Lai Wei, Zhongdai Wu, Junxiang Wang

“…Existing trajectory prediction studies predominantly employ recurrent neural network (RNN) and Transformer-based methods. However, the former often encounter challenges such as gradient vanishing or exploding, and the latter tend to focus on global temporal dependencies, making it difficult to capture local irregular trajectory features in coastal maritime areas. …”
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Numerical simulation of hydrogen adsorption and dissociation mechanisms on the surface of high-grade steel by Xia WU, Jindou LIU, Lan LAN, Zihan SONG, Wenlong JIA

“…Current research primarily focuses on the α-Fe microstructure of steel, resulting in a limited understanding of whether the incorporation of the Fe3C microstructure enhances or alters the adsorption and dissociation behaviors of hydrogen on the surface of steel. MethodsUsing the first-principles method and density functional theory, unit cell models were established for two typical microstructures of high-grade steel: Fe3C and α-Fe. …”
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Forced vibration assessment of moderately thick carbon nanotube-reinforced composite plates by Reza Setayesh, Shahabeddin Hatami, Mojtaba Gorji Azandariani, Mohammad Zamani Nejad

“…The spectral finite element method of fundamental natural frequencies for different ratios of modulus of elasticity and width-to-thickness ratios obtained were investigated and compared with the results of research. …”
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An energy-preserving exponential scheme with scalar auxiliary variable approach for the nonlinear Dirac equations by Hongquan Wang, Yancai Liu, Xiujun Cheng

“…Then the exponential time integrator method is applied for discretizing the temporal derivative, and the standard central difference scheme is used for approximating the spatial derivative for the equivalent one. …”
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On the Extended Simple Equations Method (SEsM) for Obtaining Numerous Exact Solutions to Fractional Partial Differential Equations: A Generalized Algorithm and Several Applications by Elena V. Nikolova

“…The expansions made to the original SEsM algorithm are implemented in several directions: (1) In constructing analytical solutions: exact solutions to FNPDE systems are presented by simple or complex composite functions, including combinations of solutions to two or more different simple equations with distinct independent variables (corresponding to different wave velocities); (2) in selecting appropriate fractional derivatives and appropriate wave transformations: the choice of the type of fractional derivatives for each system of FNPDEs depends on the physical nature of the modeled real process. …”
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A multi-time scale charging load forecasting method for electric private cars based on an improved gravity model considering stochastic charging behavior by Xiaohong Dong, Ruize Wang, Xiaodan Yu

“…Electric Private Car (EPC) charging load forecasting is the basis of charging facility planning and long-term development of distribution network upgrading and transformation. However, most current studies focus on short-term charging load prediction, and rarely analyze the differences in charging loads in different day types and seasons in future years. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

“…This approach addresses common limitations of traditional single-modal methods, such as isolated data analysis and poor integration between different data types. …”
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Arbitrary Amplitude Dust Acoustic Solitary Waves in a Quantum Dusty Plasma with Arbitrary Dust Size Distribution by Elham Emadi, Neda Pourjafari, Hossein Zahed

“…Sagdeev potential is also plotted and it is seen that in mono sized dust grains case, solitary waves are propagated. Whereas, for different sized dust grains having power law size distribution, the solitary waves transform into cnoidal ones.. …”
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