Numerical study on the influence of material heterogeneity on mode III crack propagation using a phase-field model by Alfat S., Eso R., Barata L. O. A., Rianse M. S.

“…Through this research, we seek to enhance the understanding of crack growth in realistic materials and contribute to developing strategies for optimizing the performance and reliability of engineering structures subjected to mechanical loading. In this study, we utilize the Weibull distribution function to generate heterogeneous materials and calculate the crack propagation problem using the adaptive finite element method. …”
Get full text

Valve Internal Leakage Signal Enhancement Method Based on the Search and Rescue Team–Coupled Multi-Stable Stochastic Resonance Algorithm by Chengbiao Tong, Yuehong Zhao, Xinming Xu

“…Subsequently, the mutual correlation gain is utilized as an adaptive measure function of the SaRT algorithm to optimize the parameters of the coupled multi-stable stochastic resonance system. …”
Get full text

Low Contrast Enhancement Algorithm for Color Image Using Pythagorean Fuzzy Sets With a Fusion of CLAHE and BPDHE Methods by M. Manivasagan, S. Jagatheswari

“…The proposed method constructs an increasing function to calculate the degree of non−membership, thereby amplifying the effectiveness of the enhanced image. …”
Get full text

Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptiv... by S. Venkatesh, S. Gopal, K. Kannan

Get full text

Compensation for balance disorders: analysis of this multifactorial process by Philippe Perrin, Art Mallinson, Neil Longridge, Enrico Armato, Mans Magnusson, Georges Dumas, Nicolas Perrin, Pierre Denise, Paolo Gargiulo, Hannes Petersen, Christian Beyaert

Get full text

Impact of parturition induction, farrowing environment and birth weight class on endocrine and metabolic plasma parameters related to piglet vitality by Heinke Lickfett, Michael Oster, Andreas Vernunft, Henry Reyer, Eduard Muráni, Solvig Görs, Cornelia C. Metges, Hartwig Bostedt, Klaus Wimmers

“…The aim was to quantify plasma metabolites with significance for organ maturation and energy utilization in neonates and suckling piglets with different birth weights as a function of the hormonal induction of parturition and farrowing environment in a longitudinal approach. …”
Get full text

A Hybrid Approach Based on the SR-HWPT-PDF for Identifying Early Fault Signals in Rolling Bearings by Zhaoyang Feng, Pengfei Xing, Guobin Li, Lu Zhang, Lixun Lu, Xiaoliang He, Hongpeng Zhang

“…Firstly, an adaptive variable-scale stochastic resonance was employed to detect the frequency range of the rolling bearing’s fault signal based on the improved signal-to-noise ratio, and then the harmonic wavelet packet transforms and the probability density function were utilized to extract and identify the fault signal of the rolling bearings from the detected signals. …”
Get full text

MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12 by Xupeng Yin, Zikai Zhao, Liguo Weng

“…In the Backbone, a Median-enhanced Channel and Spatial Attention Block (MECS) expands the receptive field through median enhancement and depthwise convolution to generate attention maps that effectively capture subtle defect features. In the Neck, an Adaptive Hierarchical Feature Integration Network (AHFIN) adaptively fuses multi-scale features through weighted integration, enhancing feature utilization and focus on defect regions. …”
Get full text

Identification of functional pathways and hub genes associated with the heterochronic development of sugarcane axillary buds and sett roots through multi-omics analysis by Jiabao Zheng, Xiaoyu Huang, Yanli Wei, Wenyan Li, Baoshan Chen, Baoshan Chen, Wenlan Li, Wenlan Li

Get full text

Genome-Wide Identification and Expression Analysis of the <i>Shaker</i> K⁺ Channel Gene Family in Cassava (<i>Manihot esculenta</i> Crantz) Under Potassium Stress by Xianhai Xie, Chenyu Lin, Feilong Yu, Haozheng Li, Jin Xiao, Mingjuan Zheng, Wenquan Wang, Xin Guo

Get full text

Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…SLMSM addresses nonlinear, noisy objective functions with enhanced precision and fewer experimental trials by utilizing adaptive sampling and predictive modeling. …”
Get full text

Hemodynamics and Gas Exchange in Hemorrhagic Shock and Hyperbaric Oxygenation (Experimental Study) by Yu. M. Tumanovsky

Get full text

Cirque Hors Piste à l’ère Covid-19 : une histoire de contraintes et d’opportunités by Mathilde Eva Perahia

Get full text

Impact of a <i>Saccharomyces cerevisiae</i> Fermentation Product Supplemented from 20 Days Before Dry-Off Through 60 Days of Lactation on the Metabolic Adaptation of Dairy Cows to... by Matteo Mezzetti, Alessandro Maria Zontini, Andrea Minuti, Ilkyu Yoon, Erminio Trevisi

Get full text

Combining 24-Hour Continuous Monitoring of Time-Locked Heart Rate, Physical Activity and Gait in Older Adults: Preliminary Findings by Eitan E. Asher, Eran Gazit, Nasim Montazeri, Elisa Mejía-Mejía, Rachel Godfrey, David A. Bennett, Veronique G. VanderHorst, Aron S. Buchman, Andrew S. P. Lim, Jeffrey M. Hausdorff

Get full text

The analysis of generative adversarial network in sports education based on deep learning by Eerdenisuyila Eerdenisuyila, Hongming Li, Wei Chen

“…Secondly, GAN is employed to construct a model for generating evaluation texts, encompassing the construction of a generator and discriminator, along with the introduction of a reward function. Finally, the constructed model is utilized to train on evaluation texts related to the mental health qualities of college and university students engaged in sports, validating the effectiveness of the model. …”
Get full text

Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Margarita De Miguel-Guzmán, Gelmar García-Vidal, Rodobaldo Martínez-Vivar

“…The results show that prioritizing the objective function leads to a balanced optimization of all indicators, improving operational efficiency and reducing flow time. …”
Get full text

Enhancing grid connected wind energy conversion systems through fuzzy logic control optimization with PSO and GA techniques by Abdelhalim Borni, Noureddine Bessous, Layachi Zaghba, Abdelhak Bouchakour, Melkamu Sisay Agmas, Enas Ali, Sherif S. M. Ghoneim, Ayman Hoballah

“…To expedite the tuning process, the input and output membership function mappings are quickly adjusted to achieve the desired set point. …”
Get full text

Bayesian Optimized ANFIS Network Using Grid Partition and Feature Spectrum for Urban Light Pollution Assessment by Nuoqi Wang, Cheng Wang, Zhihong Zhao, Peiyu Wu, Wenqian Xu, Bang Qin, Dong Wang, Rongjun Zhang, Qi Yao

“…Building on this, we have developed an Adaptive Neuro-fuzzy Inference System (ANFIS) structure utilizing global Bayesian optimization and grid partitioning (GP), which integrates the advantages of fuzzy logic in handling data uncertainty with the self-learning capabilities of artificial neural networks. …”
Get full text

Stepwise autonomous orbit determination of large LEO constellations by GNSS observations with partial inter-satellite ranging by Yuanxi Yang, Xiaoyong Song

“…The satellite Orbit Determination (OD) is critical for the various function realization of the large constellation. Three different stepwise autonomous OD strategies for the large constellation of LEO satellites are proposed based on the spaceborne Global Navigation Satellite System (GNSS) observations and Inter-Satellite Link (ISL) range measurements, including the stepwise OD with both GNSS and ISL range measurements, stepwise OD with ISL range constraints, and an adaptive stepwise OD with both kinds of measurements. …”
Get full text