CONSTITUTIVE MODEL FOR TIMBER FRACTURE USED FOR FE SIMULATION OF LVL ARCH by Eliška Šmídová, Petr Kabele

“…Furthermore, the model can capture the most distinctive features of the crack pattern.…”
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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

“…The main objective of the proposed optimal weighting-based CNN-LSTM-SVM (OCLS) hybrid classifier is to simultaneously leverage the unique advantages of CNN in feature extraction from input signals, LSTM in modeling the sequential patterns of signals, SVM in classifying regular patterns, and especially the proposed weighting algorithm to optimally integrate the outputs of these components. …”
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Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models by Majaliwa M. Masolele, J. Grant C. Hopcraft, Colin J. Torney

“…In our simulations, individuals respond to two environmental covariates and we employ all combinations of positive and negative selection coefficients corresponding to attraction to an environmental feature and avoidance of an environmental feature, respectively. …”
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The Spatiotemporal Organizational Order of Living Circle Units Based on the Law of Walking Time-Distance Distributions by Jianming Zhang, Jun Cai, Xinhai Zhang, Wansong Zhang

“…Additionally, an ideal layout pattern for living circle units was proposed, featuring a “snowflake-shaped” facility layout and a “twice-speed” transfer method. …”
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METHODS FOR THE TRAINING OF FUTURE IT SPECIALISTS IN STRATEGIC AND TACTICAL ACTIVITIES IN BUSINESS ORGANIZATIONS by Lavrentieva Olena, Krupskyi Oleksandr

“…It has been noted that the methods of formation of future IT specialists’ readiness for strategic and tactical activities involve a number of stages, namely: 1) actualization of professional needs, interests, motives, and formation of students’ business values; 2) determination of the goal and selection the tools of influence aimed at the shaping of students’ scientific and theoretical knowledge and personal experience in the implementation of professional skills; 3) arming students with an arsenal of strategies that allow for a holistic analysis of the situation, actions, and motives and, as a result, permits to reduce the operational costs of the organization and the turned IT service into a driver of business; 4) modelling of possible strategy implementation tactics in various production situations; 5) analysis of acquired experience, control and correction of formation of future IT specialists’ professionally important competencies. The features of the application of methods of activation and stimulation of motivation and responsibility in educational and professional activities, organizational methods, the method of immersion in the situation, the method of pattern and case study in the process of formation of tactical and strategic competence in future IT specialists have been defined and described. …”
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Direct-Write Ion Beam Lithography by Alexandra Joshi-Imre, Sven Bauerdick

“…Indeed, the capability of easily creating three-dimensional patterns and shaping objects by milling and deposition is probably the most recognized feature of ion beam lithography (IBL) and micromachining. …”
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Testing different function fitting methods for mobile eye-tracker calibration by Börn Severitt, Thomas Kübler, Enkelejda Kasneci

“…We investigate how different fitting methods impact accuracy under different noise factors, such as mobile eye-tracker imprecision or detection errors in feature extraction during calibration. For this purpose, a simulation of binocular gaze was developed for a) different calibration patterns and b) different noise characteristics. …”
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A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI by Hui Qu, Shuairan Zhang, Xuedan Li, Yuan Miao, Yuxi Han, Ronghui Ju, Xiaoyu Cui, Yiling Li

“…The model analyzes temporal and spatial patterns in DCE-MRI data to identify the proliferative subtype efficiently and accurately. …”
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Accelerated discovery of near-zero ablation ultra-high temperature ceramics via GAN-enhanced directionally constrained active learning by Wenjian Guo, Fayuan Li, Lingyu Wang, Li'an Zhu, Yicong Ye, Zhen Wang, Bin Yang, Shifeng Zhang, Shuxin Bai

“…The framework employs GAN for data augmentation, symbolic regression for feature weight derivation, and a self-developed EAI function that incorporates input feature importance weighting to quantify bidirectional deviations from zero ablation rate. …”
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Centripetal Trend in Comments to News in Social Networks by Nikolay D. Golev, Maria A. Sushkina

“…The patterns of their correlation showed how the self-developing nature of communication created new linguistic phenomena. …”

Investigation on the motion and fragmentation mechanism of rockfall based on PIV-seismic signal monitoring by Sui Zhende, Zhang Ke, Zhang Kai, Lin Qibin

“…Consequently, in subsequent optimization design of engineering protection structures, greater attention should be paid to the effects of particle size distribution resulting from rockfall fragmentation and the patterns governing high-frequency energy release. This necessitates strengthening research and development on devices specifically aimed at absorbing and dissipating high-frequency energy to ensure enhanced safety and reliability of the protective system in practical applications.ConclusionsParticle Image Velocimetry (PIV) successfully reconstructs the complex movement trajectories and velocity fields of rock blocks during collapse, highlighting the distinct non-linear dynamic behaviors (e.g., sliding, rolling, bouncing) of fragments, particularly smaller ones. …”
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Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology by Fei DONG, Di ZHANG, Kunpeng GE, Junjie CHEN, Xinyue XU

“…Firstly, the collected bearing vibration signals are processed, and it uses continuous wavelet transform to decompose the original vibration signals and extract two-dimensional time-frequency images; secondly, to adaptively extract deep features from both the source and target domains, the pre-trained and fine-tuning approaches are employed for convolutional neural networks transfer learning, and it constructs a transfer convolutional neural network model to achieve adaptive extraction of deep features from both domains; then, a new supervised domain adaptation method is proposed, integrating dynamic joint distribution adaptation with enhanced separability, to further reduce the distribution differences between deep feature sets of the source and target domains while effectively enhancing the separability of feature data; finally, a patterns recognition classifier is trained based on the source domain features after domain adaptation, which achieves fault patterns recognition in the target domain. ② Hoist main bearing fault knowledge reasoning based on ontology. …”
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Energy absorption and mechanical performance of kenaf yarn/fibreglass mesh/acrylonitrile butadiene styrene composites: Influence of mesh density by Mohamad Yusuf Salim, Muhamad Fauzi Muhammad Fitri, Muhammad Asyraf Muhammad Rizal, Rushdan Ahmad Ilyas, Mohd Haziq Dzulkifli, Shukur Abu Hassan, Abu Bakar Mohd Supian, Muhammad Rizal Razman

“…The experimental results showed that the KGRP-5 composite, featuring the 5 mm mesh, demonstrated superior resistance to indentation, withstanding a load of 3403.8 N. …”
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Nanoparticle-based therapeutic strategies for chronic liver diseases: Advances and insights by Sathiyamoorthy Padmanaban, Ji-Won Baek, Sai Sahithya Chamarthy, Saipriya Chandrasekaran, Antony V Samrot, Vijayakumar Gosu, In-Kyu Park, Kamalakannan Radhakrishnan, Don-Kyu Kim

“…Both conditions involve the release of reactive oxygen species and damage-associated molecular patterns from cytokines, hepatic stellate cells, and hepatocyte autophagy, leading to prolonged inflammation. …”
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The Cortical Spatial Responses and Decoding of Emotion Imagery Toward a Novel fNIRS-Based Affective BCI by Xiaopeng Si, Yumeng Han, Sicheng Li, Shuai Zhang, Dong Ming

“…Taken together, by proposing the emotion imagery fNIRS paradigm, this work could shed light on the development of feature non-invasive BCI.…”
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Potential evaluation of saline aquifers for the geological storage of carbon dioxide: A case study of saline aquifers in the Qian-5 member in northeastern Ordos Basin by Yan Li, Peng Li, Hong-jun Qu, Gui-wen Wang, Xiao-han Sun, Chang Ma, Tian-xing Yao

“…This study calculated the technical control capacities of CO2 of the saline aquifers in the fifth member of the Shiqianfeng Formation (the Qian-5 member) based on the statistical analysis of the logging and the drilling and core data from more than 200 wells in the northeastern Ordos Basin, as well as the sedimentary facies, formation lithology, and saline aquifer development patterns of the Qian-5 member. The results show that (1) the reservoirs of saline aquifers in the Qian-5 member, which comprise distributary channel sand bodies of deltaic plains, feature low porosities and permeabilities; (2) The study area hosts three NNE-directed saline aquifer zones, where saline aquifers generally have a single-layer thickness of 3–8 m and a cumulative thickness of 8–24 m; (3) The saline aquifers of the Qian-5 member have a total technical control capacity of CO2 of 119.25 × 106 t. …”
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Beyond the homozygous paradigm: symptomatic partial biotinidase deficiency in a heterozygous child—first case report from Nepal by Jagdish Kunwar, Bijay Kunwar, Anup Ghimire, Aramva Bikram Adhikari, Binay Aryal, Sachchu Thapa, Bina Prajapati Manandhar

“…There were no known familial or genetic illnesses. Developmentally, he achieved milestones appropriately until 12 months of age, since then 15 months of age he had development regression. …”
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Monomorphic type of maculopapular cutaneous mastocytosis: rationale for interdisciplinary collaboration by E. I. Kasikhina, N. N. Potekaev, O. V. Zhukova, M. N. Ostretsova

“…To analyze the clinical and laboratory features of the monomorphic type of MPCM in children and adolescents.Materials and methods. …”
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ZmNF-YB10, a maize NF-Y transcription factor, positively regulates drought and salt stress response in Arabidopsis thaliana by Yimeng Wang, Peng Jiao, Chenyang Wu, Chunlai Wang, Ke Shi, Xiaoqi Gao, Shuyan Guan, Yiyong Ma

“…This polypeptide has a theoretical isoelectric point of 5.85 and features a conserved structural domain unique to the NF-Y family. …”
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Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules by Zucheng Zhou, Quanli Xu, Junhua Yi, Youyou Li, Shiying Zhang, Wenhui Li

“…The Transformer model excels in capturing fire-spread patterns owing to its robust feature extraction abilities and capacity to manage long-range dependencies, enabling the automatic generation of CA transition rules that more accurately reflect real fire behavior and ultimately improve the simulation of fire spread. …”
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