Knowledge Graph Completion With Pattern-Based Methods by Maryam Sabet, Mohammadreza Pajoohan, Mohammad Reza Moosavi

“…In the second phase, we mine frequent patterns from the expanded KG, extract connections between them and assign entities to the patterns that construct the abstraction layer. …”
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Generation of fate patterns via intercellular forces by Hayden Nunley, Xufeng Xue, Jianping Fu, David K. Lubensky

“…Recent experiments on stem cell colonies, however, suggest that in some cases mechanical stresses, rather than secreted chemicals, enable long-ranged cell-cell interactions that specify positional information and pattern cell fates. These findings inspire a model of mechanical patterning: fate affects cell contractility, and pressure in the cell layer biases fate. …”
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Modeling human population patterns on tree density by M. Yousefpoor, T. Rostamie Shahraji, A. Eslam Bonyad, M. Salahi

“…Due to the existence of an effective relationship between the components of the tree density and human population in the forest, policy-makers and planners of natural resources could benefit management patterns appropriate to above components to achieve sustainable management.…”
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Predicting insect migration density and speed in the daytime convective boundary layer. by James R Bell, Prabhuraj Aralimarad, Ka-Sing Lim, Jason W Chapman

“…Insect migration needs to be quantified if spatial and temporal patterns in populations are to be resolved. Yet so little ecology is understood above the flight boundary layer (i.e. >10 m) where in north-west Europe an estimated 3 billion insects km(-1) month(-1) comprising pests, beneficial insects and other species that contribute to biodiversity use the atmosphere to migrate. …”
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Modelling Scattering of Electromagnetic Waves in Layered Media: An Up-to-Date Perspective by Pasquale Imperatore, Antonio Iodice, Matteo Pastorino, Nicolas Pinel

“…This paper addresses the subject of electromagnetic wave scattering in layered media, thus covering the recent progress achieved with different approaches. …”
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Layered Analysis of the 2022 Protests Based on the Conceptual Framework of "Manipulated Movements" by Saeed Naderi Asl, Seyed Javad Hosseini

“…The collected data were analyzed using the Causal Layered Analysis (CLA) method. CLA provides a multi-layered framework for deeper and more multidimensional analysis. …”
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Compositional stratigraphy of clay‐bearing layered deposits at Mawrth Vallis, Mars by J. J. Wray, B. L. Ehlmann, S. W. Squyres, J. F. Mustard, R. L. Kirk

“…This pattern, combined with layer geometries measured using topographic data from HiRISE and HRSC, suggests that the Al‐clay‐bearing horizons at Mawrth Vallis postdate the outflow channel and may represent a later sedimentary or altered pyroclastic deposit that drapes the topography.…”
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Detection and segmentation framework for defect detection on multi-layer ceramic capacitors by Hyun-Jae Kim, Sung-Bin Son, Heung-Seon Oh

“…Detecting defective multi-layer ceramic capacitors (MLCCs) during the inspection stage is a crucial production task to effectively manage production yield and maintain quality. …”
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Prediction of subway shield construction parameters based on multi-layer perceptron by LI Wenqian, WU Yunhuan, WU Jingye, CHEN Zhihuai, XIE Senlin, HU Anfeng

“…Shield construction technology has been widely used in subway construction, and reasonable prediction of shield tunneling parameters is of great practical significance for improving construction safety and reducing operational difficulties.Taking a section of the Hangzhou Airport Express Underpass Tunnel as the engineering background, this study uses the friction angle, cohesion force, compression modulus and heaviness of the soil layer within the diameter of the tunnel as well as the burial depth of the tunnel cover, the preset blade speed and propulsion speed of the shield machine as inputs, and the slurry volume, slurry pressure, soil discharge volume, total thrust force and blade torque during the shield construction as outputs, and establishes a prediction model of shield tunneling parameters based on a multi-layer perceptron.By comparing the predictive performance of the model under different combinations of hyper-parameters on the dataset, a suitable shield construction parameter prediction model is selected for the project.The model predictive effect is verified using the measured data, and the predicted values are consistent with the overall variation pattern of the measured data, with an average error within 20%.The established multi-layer perceptron model provides reasonable predictions with good accuracy and can be applied to predict shield tunneling parameters under the conditions of composite strata.…”
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Structural behavior of Lightweight and High strength Layered Hollow Core Slabs by Louay A. Aboul-Nour, Ahmed S. Eisa, Asmaa El-Ghamry

“…A push-out test was conducted on triplet specimens to study the bond strength at the interface between HSC jacket and LWAC cubes using bond agent material or shear dowels, or without treatment, to determine which method of them is suitable for connecting the two layers of the tested slabs. Load, deflection, ductility, strain, crack pattern, and mode of failure were studied. …”
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The Comparison of Activation Functions in Feature Extraction Layer using Sharpen Filter by Oktavia Citra Resmi Rachmawati, Ali Ridho Barakbah, Tita Karlita

“… Activation functions are a critical component in the feature extraction layer of deep learning models, influencing their ability to identify patterns and extract meaningful features from input data. …”
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Experimental Study on Grouting Visualization of Cover Layer Based on Transparent Soil by Pengfei Guo, Weiquan Zhao

“…To investigate this, a visual grouting model device was designed and fabricated, and grouting tests were conducted using transparent soil materials to simulate the cover layers. The slurry diffusion patterns and the velocity field within the transparent soil were analyzed. …”
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LCD: IDENTIFYING INFLUENTIAL NODES IN COMPLEX NETWORKS WITH LAYERED CLUSTERING AND DEGREE by Abdulhakeem Othman Mohammed

“…The LCD approach operates in three main steps: (1) Layering, which organizes nodes hierarchically based on their shortest distances from a designated starting node; (2) Clustering, which groups nodes within each layer into connected substructures to capture local connectivity patterns; and (3) Degree computation and ranking, where node degrees are computed within the entire network (globally) but ranked iteratively across clusters (locally) to ensure maximum coverage and minimal overlap among selected spreaders. …”
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Interannual variability of thermal state of the cold subsurface layer in the Okhotsk Sea by Vladimir A. Luchin, Vladimir I. Matveev

“…Cycles with period of approximately 30 years are revealed in the variations of the subsurface layer heat content. Thus, in the 1946-1950, its temperature decreased, but it grew since 2009-2010 to 2015. …”
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Experimental Study on the Anisotropy of Layered Rock Mass under Triaxial Conditions by Long Cheng, Hui Wang, Xu Chang, Yewei Chen, Feilu Xu, Bafang Zhang, Jiawei An

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An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures by Andrzej D. Dobrzycki, Ana M. Bernardos, José R. Casar

“…This research addresses this gap by presenting a detailed analysis of layer-freezing strategies. We systematically investigate multiple freezing configurations across YOLOv8 and YOLOv10 variants using four challenging datasets that represent critical infrastructure monitoring. …”
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The Reliability of Diagnosing Schizophrenia Using the GRU Layer in Conjunction with EEG Rhythms by Pankaj Kumar Sahu, Karan Jain

“…Deep learning methods and patterns found in EEG of brain activity are helpful features for verifying schizophrenia. …”
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MODELING OF DEEP CURRENTS IN THE JAPAN SEA: RELATIONSHIP WITH THE CURRENTS IN THE THERMOCLINE LAYER by O. O. Trusenkova

“…This winter strengthening of the gyre, both in the deep and intermediate layers, increases the currents barotropy, whereas the gyre strengthening in the surface layer in summer, when it weakens below 100–150 m, increases the baroclinicity. …”
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Post-transcriptional regulation in early cell fate commitment of germ layers by Rubens Gomes-Júnior, Cintia Delai da Silva Horinouchi, Aruana Fagundes Fiuza Hansel-Fröse, Annanda Lyra Ribeiro, Isabela Tiemy Pereira, Lucia Spangenberg, Bruno Dallagiovanna

“…RNA sequencing revealed a consistent pattern of gene upregulated and downregulated when comparing the transcriptome and translatome during the differentiation of all three germ layers. …”
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Tear film lipid layer thickness and blink dynamics in patients with blepharospasm by Ji-Sun Paik, Min Jeong Kwon, Ga Hee Nam, Kyungdo Han, Woong-Joo Whang, Ho Sik Hwang, Suk-Woo Yang, Hyun-Seung Kim, Kyung Sun Na, Won-Kyung Cho

“…Abstract Background This study investigates the effect of botulinum toxin A on lipid layer thickness (LLT) and blink dynamics in patients with benign essential blepharospasm (BEB) compared to dry eye disease (DED) patients. …”
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