Delayed neutron yield measurement on thermal neutron induced fission of 237Np using cross-correlation technique by Sh. S. Zeynalov, O. V. Zeynalova, V. I. Smirnov

“…The data is modulated with predefined pattern before transmission to the public network and only recipient that has the modulation pattern is able to demodulate it upon reception. …”
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Eyes in cheese: reasons for formation and methods of assessment by O. V. Lepilkina, O. N. Lepilkina, I. V. Loginova

“…In connection with the observed tendency to the loss of the distinctive features of this type of cheese (rare, insufficiently pronounced eyes), great importance is attached to objective methods for assessing the pattern in these cheeses as one of the most important indicators of the product quality. …”
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Simulation of multicentric destruction with regard for inhomogeneous distribution of rated voltage by Vitaly F. Lukyanov, Semen S. Assaulenko

“…As a result, the fatigue flaking along the weld lacks any regular pattern. Under the cyclic loading, the development of the destruction is a sequential process of the crack nucleation in different parts of welded joints along the weld, single surface cracks growth under the fracture mechanics laws, nucleation of new cracks, and crack coalescence in the adjoining sections. …”
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Skeletal ossification of Middle Triassic pachypleurosaur Keichousaurus hui (Reptilia: Sauropterygia) revealed by zinc distribution by Yi-nuo Wang, Da-yong Jiang, Ryosuke Motani, Ming-tao Yao, Cheng Ji, Zuo-yu Sun, Min Zhou

“…Furthermore, by integrating morphological features with the Zn distribution patterns, we infer that pachyostosis in K. hui develops progressively across all stages of growth and development.…”
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Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease by Ibrahim Abunadi

“…In this study, four proposed systems with different methodologies and materials for tracking the stages of AD development are presented. The first proposed system is to classify a data set using artificial neural networks (ANNs) and feed-forward neural networks (FFNN) based on the features extracted in a hybrid manner by using a combination of Local Binary Pattern (LBP), Discrete Wavelet Transform (DWT), and Gray Level Co-occurrence Matrix (GLCM) algorithms. …”
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Historical commentary in the Russian language lesson as a pedagogical genre by Konstantin A. Kalinin

“…Historical commentary on linguistic facts and patterns helps to understand the cause-and-effect relationships of those phenomena, the study of which is impossible without referring to the history of the development of the Russian language. …”
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Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks by Christoph Humer, Simon Höll, Martin Schagerl

“…This technique employs the so-called wave damage interaction coefficients (WDICs) as highly sensitive damage features that describe the unique scattering pattern around possible damage. …”
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Research of unstructured data interpretation problems by V. S. Tomashevskaya, D. A. Yakovlev

“…One of the key tasks when working with unstructured data is to find and identify patterns in order to understand them and develop filling patterns. …”
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Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise Using Cellular Automaton Method by Yuri Matveev, Fares Abu-Abed, Leonid Chernishev, Sergey Zhironkin

“…Since the main problems of the cellular automation approach to modeling the dispersion of pollutants are the problems of speed and numerical diffusion, in this article the frontal cellular automation algorithm with a 16-point neighborhood pattern is used, which takes into account the features of the calculation scheme for finding the shortest path. …”
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Identifying Key Idiolect Markers in Sociolinguistic Profiling: A Scoping Review and Analytical Framework for Real-world Applications by Vitalii Shymko

“…Sociolinguistic profiling has emerged as a powerful tool for understanding individual language patterns and their applications in diverse contexts, including digital communication, forensic linguistics, and psychological analysis. …”
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The Kalhora Dynasty: A Period of Islamic Architecture, From the Early Throne to the Present. by Rabia Khaskheli, Mazhar Hussain Abbasi

“…Along with the history of the Kalhora rule, the various stages of development of mosques and tomb architecture are also discussed, along with the new architectural features added by the Kalhoras and other patterns much admired in Indian architecture. …”
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What are memories made of? A survey of neuroscientists on the structural basis of long-term memory. by Ariel Zeleznikow-Johnston, Emil F Kendziorra, Andrew T McKenzie

“…While 70.5% of participants agreed that long-term memories are primarily maintained by neuronal connectivity patterns and synaptic strengths, there was no clear consensus on which specific neurophysiological features or scales are critical for memory storage. …”
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Digital transformation: Platform ecosystems as a tool for High-tech Business management. by D.  A.  Zhdanov

“…Today ecosystem companies displace traditional corporations from leadership positions, which predetermined the scientifc interest in understanding their key properties and patterns of development. The purpose of the paper is to study the management features that determine the competitive advantages of platform ecosystems. …”
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Identifying Infant Body Position from Inertial Sensors with Machine Learning: Which Parameters Matter? by Joanna Duda-Goławska, Aleksander Rogowski, Zuzanna Laudańska, Jarosław Żygierewicz, Przemysław Tomalski

“…The efficient classification of body position is crucial for monitoring infants’ motor development. It may fast-track the early detection of developmental issues related not only to the acquisition of motor milestones but also to postural stability and movement patterns. …”
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Climate-Related Gradients On Vegetation Diversity Of The Altai-Sayan Orobiome (Southern Siberia) by Maxim V. Bocharnikov

“…Identified patterns determine unity of the Altai-Sayan orobiome as well as regional differentiation that reflected on the development of types of vegetation zonality. …”
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Risk level prediction for problematic internet use: A digital health perspective by Youngjung Suh, Jinwon Yoo

“…In particular, we identified key predictive features such as physiological indicators, physical activity, sleep quality, and Internet usage patterns, and clearly elucidated the differences in the positive or negative impact of these key features on PIU detection at different severity levels. …”
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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Currently, during apple picking in complex environments, it is difficult to classify and identify the growth pattern of an apple and obtain information on its attitude synchronously. …”
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Maskless Electrochemical Texturing (MECT) Applied to Skin-Pass Cold Rolling by Paulo L. Monteiro, Wilian Labiapari, Washington M. Da Silva, Cristiano de Azevedo Celente, Henara Lillian Costa

“…Rolling tests showed that the work roll surface textured with a dimple pattern generated a pillar-shaped texture pattern on the sheet surface, possibly due to a reverse extrusion mechanism.…”
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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

“…Furthermore, we designed an application that integrates keypoint visualizations with motion pattern classifications. This tool provides users with valuable feedback on their performance and includes a replay feature for self-assessment, helping lifters refine their technique and reduce the risk of injury.…”
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