Crack path in aeronautical titanium alloy under ultrasonic torsion loading by A. Nikitin, C.Bathias, T.Palin-Luc, A. Shanyavskiy

“…This paper discusses features of fatigue crack initiation and growth in aeronautical VT3-1 titanium alloy under pure torsion loading in gigacycle regime. …”
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Simplified Calculation of the Inertia Moment of the Cross Section of the Console under Loading by E. E. Deryugin

“…A rapid valid method for calculating the inertia moment of the cross section of the console under loading has been developed. Its difference is the rejection of calculations for each section, taking into account the shape and other features. …”
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Slow deformation fronts: model and features of distribution by P. V. Makarov, Yu. A. Khon, A. Yu. Peryshkin

“…Our study aimed at investigating the origin and development of ‘slow’ movements in a solid body/medium under loading and studying the role of such movements in the occurrence of critical states, i.e. sources of destruction in a stable solid medium. …”
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Morphological features of periodontal first premolars and molars by M. V. Khertek

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Specific Features Of Geological Risk Assessment In Moscow by Irina V. Kozliakova, Olga N. Eremina, Nadezhda G. Anisimova, Irina A. Kozhevnikova

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Neurophysiological features in patients with migraine at risk for epilepsy by N. D. Sorokina, A. V. Tsagashek, S. S. Pertsov, G. V. Selitsky, A. S. Zherdeva

“…In contrast to the subjects of this group, patients of other group featured with a more stable migraine pain syndrome in the left hemisphere tended to dominate with functional activity of the parasympathetic system such as increased trophotropic support during exercise, as well as greater magnitude of baseline epileptiform bioelectric activity and during load tests.Conclusion. …”
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Real-Time Co-Editing of Geographic Features by Hrvoje Matijević, Saša Vranić, Nikola Kranjčić, Vlado Cetl

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Analysis of design features of vibratory plate compactors by Mikhail A. Afanasev, Ivan S. Tyuremnov

“…The base plate shape influences the magnitude of contact stresses, the number of cycles of load applications to one point of soil in one pass, the compaction depth and maneuverability.…”
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MYCROBIOTA FEATURES OF THE OBJECTS IN THE ONCOLOGY HOSPITAL ENVIRONMENT by Ирина Петровна Чарушина, Ирина Викторовна Фельдблюм, Наталья Михайловна Коза, Галина Арсентьевна Александрова, Светлана Юрьевна Баландина

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Research of the Fractal Extrapolation of Transmission System Load Signal of Tracked Vehicle by Wang Yanzhong, Chen Yanyan, Zhou Guangming, Jia Shuang, Lv Qingjun, Zhang Zuzhi

“…Aiming at the problem of load test data volume of transmission system of heavy tracked vehicles（HTVs） is huge and extraction rate of effective information is low,the inherent fractal hierarchical rule of this data is studied,this data have the typical fractal characteristic is verified and the fractal parameter of the tracked vehicle transmission system load data under a certain road condition.Under the premise of ensurse data accuracy and fractal character,a new fractal interpolation method（FIM） is built,the continuation to simplify data information is realized.Moreover,obvious advantages could be observed in the results of the FIM,comparing to those of the linear interpolation method and the spline interpolation method.It could be concluded that by combining a’low-frequency-and-long- time’ sampling approach and the proposed FIM,the test efficiency of load history can be improved,the complex chaotic feature of high frequency sampling data can be represented.And a analysis way for researching the dynamic chaos characteristic of the HTVs transmission system is provided.…”
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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

“…Energy aggregation service providers in the electricity market are highly dependent on the load-forecasting accuracy to maximize their market interests. …”
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Research on Energy Dissipation Laws of Coal Crushing under the Impact Loads by Dengke Xu, Chaomin Mu, Wenqing Zhang, Zhongqing Li

“…Hence, it is necessary to investigate energy dissipation laws of coal crushing under the impact loads with different strain rates. Based on the dynamic and static mechanical tests, crushing energy, total absorption energy, total releasable elastic latent energy, and relations between fractal feature of fragments, mean particle diameter and energy during crushing behaviors of outburst coal and nonoutburst coal were investigated. …”
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Non-intrusive load identification method based on VMD and PSO-SVM by YANG Rui, ZOU Xiaosong, XIONG Wei, YUAN Xufeng, ZHENG Huajun, LIU Bin

“…Then, the energy and energy entropy of the modal components of the decomposed load waveform are obtained, and the multi-dimensional feature matrix input is constructed to establish a particle swarm optimization-support vector machine particle swarm optimization for optimizing support vector machines (PSO-SVM) for classification and identification of the load. …”
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Optimization of dimension of weldment locus by method of geometric programming by Dragan Stević, Vladan Mićić

Subjects: “…alphabetic loaded welded structures…”
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PREDICTION OF CUTTING LOAD OF DRUM SHEARER BASED ON DEEP BELIEF NETWORK by MAO Jun, GUO Hao, CHEN HongYue

“…By means of unsupervised level greedy learning,the higher level features are represented,the intelligence of the identification process is enhanced,and the complexity and imprecision of artificial features extraction are avoided. …”
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Mobile machine design through dynamic load simulation on their drive units by S. A. Partko, L. M. Groshev, A. N. Sirotenko

“…The elements of the main and secondary diagonals are determined; the correlations between the effects are taken into account. These features significantly complicate the calculations. …”
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Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models by Muhammed Sütçü, İbrahim Tümay Gülbahar, Kübra Nur Şahin, Yunus Koloğlu, Mevlüt Emirhan Çelikel

“…This study is conducted with an electricity retail company, and main focus of the study is to build accurate models for load. Datasets with novel features are preprocessed, then deep learning models are built in order to achieve high accuracy for these problems. …”
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Compact SOI Polarization Rotator Using Asymmetric Periodic Loaded Waveguides by Yao Sun, Yule Xiong, Winnie N. Ye

“…We demonstrate the design and experimental results of a silicon-on insulator (SOI) polarization rotator design based on asymmetric periodically loaded waveguides. The rotator design features a compact device footprint of 15.78 <inline-formula> <tex-math notation="LaTeX">$\mu\mbox{m}$</tex-math></inline-formula>, with a measured polarization rotation extinction ratio of 11.8 dB at 1525 nm while maintaining at least 6 dB ER over the entire C-band. …”
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Enhanced role of the entorhinal cortex in adapting to increased working memory load by Jiayi Yang, Dan Cao, Chunyan Guo, Lennart Stieglitz, Debora Ledergerber, Johannes Sarnthein, Jin Li

“…Using multivariate machine learning analysis, we decoded WM load using the power from each region as neural features. …”
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Simulation Study of Load Sharing of the Herringbone Power Split Gear Train by Zhang Lina, Ning Fenglian, Ding Jintao

“…By using Romax software, a finite element simulation model consideres structural features like floating components, flexible elements, and herringbone gears, as well as errors and transmission system deformations, and load sharing coefficients are determined. …”
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