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Svetlana V. Samchenko, Irina V. Kozlova and Andrey V. Korshunov
The reliability of concrete structures is closely related to the durability of the concrete materials stable under external environmental conditions. The present study is aimed at analysing the effect of a prospective hardening additive containing calciu...
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Rye-Kyeong Kim, Nyeonju Kang, Zeel Desai and James H. Cauraugh
Two popular chronic stroke rehabilitation protocols are robotic-assisted movements and transcranial direct current stimulation (tDCS). Separately, both protocols have produced encouraging motor recovery improvements. An intriguing question remains: what ...
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Uta Schnabel, Kateryna Yarova, Björn Zessin, Jörg Stachowiak and Jörg Ehlbeck
Microwave-induced plasma was used for the generation of plasma-processed air (PPA) and plasma-treated water (PTW). By this way, the plasma was able to functionalize the compressed air and the used water to antimicrobial effective agents. Their fungicidal...
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Olga Chalaya,Alexander Nanka,Andriy Paliy,Sergey Nagornij,Oleksandr Chalyi
Pág. 74 - 81
The paper report results of research related to studying a change in the qualitative indicators and technological properties of meat and lard of swine under conditions of different diet compositions, specifically, with the addition of lead and cadmium (c...
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Mengxue Hu, Peifu Wu, Aiwei Guo and Lily Liu
This study investigated the regulatory mechanism of myristic acid on milk fat synthesis in cows. An association between myristic acid and high milk fat content in Zhongdian yaks? guts was found through combined metagenomic and metabolomic analysis. Bovin...
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Ross Eldred, Johnathan Lussier and Anthony Pollman
This article details the design, construction and implementation of a novel, spherical unmanned underwater vehicle (UUV) prototype for operations within confined, entanglement-prone marine environments. The nature of shipwreck interiors, the exploration ...
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Wenting Liu, Li Zhou and Jie Chen
Face recognition algorithms based on deep learning methods have become increasingly popular. Most of these are based on highly precise but complex convolutional neural networks (CNNs), which require significant computing resources and storage, and are di...
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Nicolas Alberto Sbrugnera Sotomayor, Fabrizia Caiazzo and Vittorio Alfieri
In the last few decades, complex light-weight designs have been successfully produced via additive manufacturing (AM), launching a new era in the thinking?design process. In addition, current software platforms provide design tools combined with multi-sc...
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Birgitta Dresp-Langley and Marie Monfouga
Pieron?s and Chocholle?s seminal psychophysical work predicts that human response time to information relative to visual contrast and/or sound frequency decreases when contrast intensity or sound frequency increases. The goal of this study is to bring to...
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Giulia Cheloni and Vera I. Slaveykova
In the present review, we critically examine the state-of-the-art of the research on combined effects of trace metals and light on photosynthetic microorganisms in aquatic environment. Light of different intensity and spectral composition affects the int...
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Estéfana Castañeda Vergara, Benito Lauret Aguirregabiria, Juan Miguel Lirola Pérez, Graciela Ovando Vacarezza
Pág. 479 - 488
DOI: 10.7764/RDLC.16.3.479AbstractThis paper focuses on the manufacture of architectural free-form GRC panels with 3D printed internal grid. Since double-curvature formworks and molds could account for up to 40 to 80% of the production cost of the pieces...
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Caston Sigauke
The paper discusses an application of generalised additive models (GAMs) in predicting medium-term hourly electricity demand using South African data for 2009 to 2013. Variable selection was done using least absolute shrinkage and selection operator (Las...
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Weihan Huang, Ke Gao and Yu Feng
Predicting earthquakes through reasonable methods can significantly reduce the damage caused by secondary disasters such as tsunamis. Recently, machine learning (ML) approaches have been employed to predict laboratory earthquakes using stick-slip dynamic...
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Abdelkrim Lachgar, David J. Mulla and Viacheslav Adamchuk
One of the challenges in site-specific phosphorus (P) management is the substantial spatial variability in plant available P across fields. To overcome this barrier, emerging sensing, data fusion, and spatial predictive modeling approaches are needed to ...
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Hua Huang, Zhenfeng Peng, Jinkun Hou, Xudong Zheng, Yuxi Ding and Han Wu
Disc buckle steel pipe brackets are widely used in building construction due to the advantages of its simple structure, large-bearing capacity, rapid assembling and disassembling, and strong versatility. In complex construction projects, the uncertaintie...
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Evgenii M. Shcherban?, Sergey A. Stel?makh, Alexey N. Beskopylny, Levon R. Mailyan, Besarion Meskhi, Valery Varavka, Andrei Chernil?nik, Diana Elshaeva and Oxana Ananova
A current problem in the construction industry is the lack of complex, scientifically based technological materials and design solutions for universal types of building materials, products, and structures, especially in terms of structures operating unde...
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Guangteng Bai, Juyang Fu, Qian Zhou and Xiangliang Pan
Tire wear particles (TWPs), as a type of thermosetting microplastic (MP), accumulate in aquatic environments due to their wide application in road traffic globally. The increase in temperature because of friction heat may cause aging of tire materials, i...
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Teresa Kwamboka Abuya, Richard Maina Rimiru and George Onyango Okeyo
Denoising computed tomography (CT) medical images is crucial in preserving information and restoring images contaminated with noise. Standard filters have extensively been used for noise removal and fine details? preservation. During the transmission of ...
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Lev Utkin and Andrei Konstantinov
The ensemble-based modifications of the well-known SHapley Additive exPlanations (SHAP) method for the local explanation of a black-box model are proposed. The modifications aim to simplify the SHAP which is computationally expensive when there is a larg...
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Nooshin Mashhadi and Ugur Alganci
Time series analysis combined with remote sensing data allows for the study of abrupt changes in the environment due to significant and severe disturbances such as deforestation, agricultural activities, fires, and urban expansion, as well as gradual cha...
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