Nonlinear Dynamics of a Vibratory Cone Crusher with Hysteretic Force and Clearances by Jing Jiang, Qing-Kai Han, Chao-Feng Li, Hong-Liang Yao, Shu-Ying Liu

“…Based on the analysis on crushing process and hysteresis of material layers, a hysteretic model with symmetrical clearances is presented. …”
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ACO-Based Neural Network to Enhance the Efficiency of Network Controllability of Temporal Networks by Jie Zhang, Ling Ding, Peyman Arebi

“…Also, due to the time-consuming controllable processes in temporal networks and in order to increase the efficiency of the ACO algorithm, a backpropagation neural network has been used, which finds the minimum driver node set of the network based on the layered model in order to fully control the network nodes. …”
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Assessment methodology of backwash in pressurized sand filters by Fábio P. de Deus, Roberto Testezlaf, Marcio Mesquita

“…After reaching a fixed expansion of 25% of the filter bed height, the backwash processes were performed for 15 min. Backwash cleaning efficiency was evaluated in all trials based on the mass of removed solids for different filter bed layers and throughout the entire filter bed. …”
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Molecular Dynamics Study on the Lubrication Mechanism of the Phytic Acid/Copper Interface Under Loading Condition by Min Guan, Dong Xie, Xiaoting Wang, Fengjuan Jing, Feng Wen, Yongxiang Leng

“…Molecular dynamics (MD) simulations were employed to model the behavior of compression and the confined shear process. …”
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Reliability Allocation Method of NC Servo Tool Rest Based on Improved Comprehensive Factor Method by CHEN Chuanhai, GUO Jinyan, LIU Mingying, LIU Zhifeng, YANG Zhaojun, QI Baobao

“…Aiming at the uncertainty caused by independent consideration of influencing factors and expert scoring in the process of reliability allocation, a reliability allocation method of NC tool holder based on grey correlation theory, fuzzy set theory and ordered weighted averaging operator is proposed The technical level,importance, complexity, operation environment, maintainability, cost effectiveness ratio and other influencing factors are comprehensively considered.The factors are refined and organized into layers to establish a layered comprehensive factor evaluation model. …”
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Analysis of the Effect of Precipitation Type on Flow Simulation in Talar and Khoramabad Watershed by Mohammad Golshan, Abdollah Pirneia, Payam Ebrahimi, Abazar Esmali Ouri

“…Using a model with integrity and high performance to simulate the hydrological process in deferent watersheds is very important. …”
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A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing by William Jabbour, Mutahar Safdar, Jiarui Xie, Yaoyao Fiona Zhao

“…Abstract Additive manufacturing (AM) fabricates physical objects by layering materials from a 3D digital model. In metallic AM, the melt pool represents a region of superheated molten material and plays a critical role in determining part quality. …”
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Transfer of Periodic Phenomena in Multiphase Capillary Flows to a Quasi-Stationary Observation Using U-Net by Bastian Oldach, Philipp Wintermeyer, Norbert Kockmann

“…The original U-Net was modified to process input images of a size of 688 × 432 pixels while the structure of the encoder and decoder path feature 23 convolutional layers. …”
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Fuzzy Reliability in Spatial Databases by Ferdinando Di Martino, Salvatore Sessa

“…We model a spatial database in thematic datasets; each thematic dataset concerns a specific spatial domain and includes a set of layers. …”
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MULTIDISCIPLINARY APPROACH TO STUDY MIGMATITES: ORIGIN AND TECTONIC HISTORY OF THE NASON RIDGE MIGMATITIC GNEISS, WENATCHEE BLOCK, CASCADES CRYSTALLINE CORE, WA, USA by Stowell Harold H., Zuluaga C. Carlos A.

“…Compositional layering is characterized by quartz-plagioclase lenses and patches (mm to cm scale) and by large variations in biotite content. …”
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Queer Life(lines) Within the Death of an Archive by Setareh Noorani

“…This essay-text-archive makes visual the layered and multi-authored process of creating this knowledge resource. …”
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The pattern of Islamic ethics education through the perspective of Imam Sajjad (AS) Based on the analysis of the content of Makarem Ol Akhlagh prayer by AKRAM SALIMI, fathieh fattahizadeh, Mohammad ATRAT DOOST

“…In this research we tried to use the content analysis method for Extracting elements and moral categories that is hidden in layers of Makarem Ol Akhlagh .And explain the pattern of process of Islamic ethics training based on this prayer. …”
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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

“…Then a neural network with nine convolutional layers is built to work on crop images, the first stage of training loads data samples, and divide the training set and verification set, and then set the learning rate, image intensifier, and optimizer and compile the training convolution model. …”
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Predicting Damage in Notched Functionally Graded Materials Plates through extended Finite Element Method based on computational simulations by Hakim Siguerdjidjene, Amin Houari, Kouider Madani, Salah Amroune, Mohamed Mokhtari, Barhm Mohamad, Chellil Ahmed, Abdelkrim Merah, Raul Campilho

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Appraising the Sonic Environment: A Conceptual Framework for Perceptual, Computational, and Cognitive Requirements by Tjeerd C. Andringa

“…These lead to several core features and functions of the hearing process, such as prioritizing the auditory channel (loudness), forming auditory streams (audibility, primitive auditory scene analysis), prioritizing auditory streams (audible safety, noise sensitivity), and initial meaning-giving (auditory gist and perceptual layers). …”
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Paleoenvironmental controls on organic-rich lithofacies of Eocene saline lacustrine in the Chentuokou Depression, Jianghan Basin by Yingyue YU, Shiqiang WU, Youheng ZHENG, Libin GUO

“…Results The classification of fine-grained sediments and the saline lacustrine sedimentary model in Jianghan Lake Basin were established. Lithofacies of oil group Ⅱ, the lower Member of Xingouzui Formation Xingouzui Formation in Well C1 can subdivided into seven types: organic-rich laminated dolomite facies, organic-rich layered dolomite facies, organic-contain massive dolomite facies, organic-rich laminated mixed shale facies, organic-rich layered mixed shale facies, organic-contain layered siltstone, and organic-poor massive gypsum-salt rock facies. …”
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AIF: Infrared and Visible Image Fusion Based on Ascending–Descending Mechanism and Illumination Perception Subnetwork by Ying Liu, Xinyue Mi, Zhaofu Liu, Yu Yao

“…However, the existing image fusion algorithms rarely consider light factor in the modeling process. The study presents a novel image fusion approach (AIF) that can adaptively fuse infrared and visible images under various lighting conditions. …”
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Molecular correlates of childhood adversity – a multi-omics perspective on stress regulation by Johannes C. S. Zang, Caroline May, Katrin Marcus, Robert Kumsta

“…In search of mediators of this relationship, alterations of bio-behavioral and cellular regulatory systems came into focus, including those dealing with basic gene regulatory processes. System biology oriented approaches have been proposed to gain a more comprehensive understanding of the complex multiple interrelations between and within layers of analysis. …”
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Chromium adsorption using a composite adsorbent of corn waste and bentonite by Miguel Herrera-Gavidia, Dalia Carbonel, Hugo Chirinos-Collantes

“…The results indicate that chromium adsorption is a multifaceted process involving diffusion and subsequent interaction at the surface and edges of the bentonite layers. …”
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Research on Storage Grain Temperature Prediction Method Based on FTA-CNN-SE-LSTM with Dual-Domain Data Augmentation and Deep Learning by Hailong Peng, Yuhua Zhu, Zhihui Li

“…Temperature plays a crucial role in the grain storage process and food security. Due to limitations in grain storage data acquisition in real-world scenarios, this paper proposes a data augmentation method for grain storage data that operates in both the time and frequency domains, as well as an enhanced grain storage temperature prediction model. …”
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