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Francesco Fusco, Pantaleone De Vita, Benjamin B. Mirus, Rex L. Baum, Vincenzo Allocca, Rita Tufano, Enrico Di Clemente and Domenico Calcaterra
On the 4th and 5th of March 2005, about 100 rainfall-induced landslides occurred along volcanic slopes of Camaldoli Hill in Naples, Italy. These started as soil slips in the upper substratum of incoherent and welded volcaniclastic deposits, then evolved ...
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Barbara Casentini, Marco Lazzazzara, Stefano Amalfitano, Rosamaria Salvatori, Daniela Guglietta, Daniele Passeri, Girolamo Belardi and Francesca Trapasso
The worldwide mining industry produces millions of tons of rock wastes, raising a considerable burden for managing both economic and environmental issues. The possible reuse of Fe/Mn-rich materials for arsenic removal in water filtration units, along wit...
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Lucky Nugroho,Akhmad Amien Mastur,Ulfa Ulfa,Tri Wahyono,Soeharjoto Soeharjoto
Pág. 124 - 140
Abstract: This study aimed to analyze and compare the factors that affect the return on assets (ROA) of Islamic commercial banks (BUS) and Islamic business units (UUS). This study?s independent variables are NPF, FDR, and MSMEs. The study used the q...
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Jijian Lian, Linrui Zuo, Xiaoqun Wang and Lu Yu
This study analyzes the ambient vibrations induced while running the Mount Changlong pumped-storage power station (PSPS). The ground vibration data of the power station during its operation were acquired with vibration sensors. Different units were selec...
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Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th...
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Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G...
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Jürgen Höher, Isabella Ostner, Anne Schraplau, Nina Sprenger, Ulrike Allers, Helen Sulprizio, Arndt Düsing, Markus Fink, Caroline Schmidt-Lucke and Oliver Tenfelde
This study evaluated the single-leg vertical hop test (SLVHT), using digital sensor technology, for the functional assessment of rehabilitation progress in patients after ACL reconstruction (ACL-R). Between January 2019 and June 2022, 143 patients (26.6 ...
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Puya Li and Chunchang Zhang
Aiming at the communication network optimization problem of the Internet of Inland Vessels, this work presented a network model and deployment strategy with shore-based cooperative units as network nodes. Firstly, the system architecture and communicatio...
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Nilüfer Topuz, Frank Alsmeyer, Hasan Can Okutan and Hermann-Josef Roos
The increasing share of renewables in electricity grids comes with a challenge of energy surpluses and deficits, which needs be handled by demand side management (DSM) and storage options. Within this approach, wastewater treatment plants (WWTPs), with f...
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Junjie Pan, Xin Lin, Zezhong Wang, Ruoyan Wang, Kun Wu, Jinhu Liang and Xilong Yu
This study investigated combustion characteristics of composite fuel grains designed based on a modular fuel unit strategy. The modular fuel unit comprised a periodical helical structure with nine acrylonitrile?butadiene?styrene helical blades. A paraffi...
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