Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
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Factors Driving Construction Material Price Volatility in Qatar’s Construction Industry: An Investigation Using Generalized Structured Component Analysis (GSCA) by Murat Gunduz, Khalid K. Naji, Hadi Al-Marri

“…Second, it examined the influence of these factors and categories on material prices using Generalized Structured Component Analysis (GSCA). Third, it proposed strategies for mitigating price volatility within the Qatari construction sector. …”
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Diff-Tree: A Diffusion Model for Diversified Tree Point Cloud Generation with High Realism by Haifeng Xu, Yongjian Huai, Xiaoying Nie, Qingkuo Meng, Xun Zhao, Xuanda Pei, Hao Lu

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Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

Subjects: “…demographic data…”
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Early Postseismic Deformation of the 2010 Mw 6.9 Yushu Earthquake and Its Implication for Lithospheric Rheological Properties by Yunguo Chen, Yan Hu, Liang Qian, Guojie Meng

Subjects: “…GPS data…”
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Development of a Large Database of Italian Bridge Bearings: Preliminary Analysis of Collected Data and Typical Defects by Angelo Masi, Giuseppe Santarsiero, Marco Savoia, Enrico Cardillo, Beatrice Belletti, Ruggero Macaluso, Maurizio Orlando, Giovanni Menichini, Giacomo Morano, Giuseppe Carlo Marano, Fabrizio Palmisano, Anna Saetta, Luisa Berto, Maria Rosaria Pecce, Antonio Bilotta, Pier Paolo Rossi, Andrea Floridia, Mauro Sassu, Marco Zucca, Eugenio Chioccarelli, Alberto Meda, Daniele Losanno, Marco Di Prisco, Giorgio Serino, Paolo Riva, Nicola Nisticò, Sergio Lagomarsino, Stefania Degli Abbati, Giuseppe Maddaloni, Gennaro Magliulo, Mattia Calò, Fabio Biondini, Francesca da Porto, Daniele Zonta, Maria Pina Limongelli

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Changes in Consumer Food Preferences in EU Countries from 2001-2013 by Grzegorz Koszela, Luiza Ochnio

Subjects: “…dissimilarity of structures…”
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Crashworthiness performance of the designed concave hexagonal structures as filler element in cylindrical shells in multiple load cases by Andre Hartawan Mettanadi, Aditya Rio Prabowo, Bambang Kusharjanta, Fajar Budi Laksono, Haris Nubli

“…The greater the energy absorption by the crash safety structure, the greater the safety in preventing deformation of the main structure due to impact. …”
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Methods of testing systems for strengthening masonry structures based on cement composites reinforced with glass fiber mesh by Petrović Milica, Popović Marko, Škondrić Marina, Savić Aleksandar, Zakić Dimitrije

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Practical concepts for the use of probabilistic methods in the structural analysis and reassessment of existing bridges - presentation of latest research and implementation by Thomas Braml, Christian Kainz

“…Structure-specific partial safety factors include measured data and can be used for the well-known and in the codes established semi-probabilistic design concept. …”
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New data on biology of siberian cisco <i>Coregonus sardinella</i> (Coregonidae) from the Anadyr River by Alexander V. Shestakov

“…Besides, the data collected previously in 1987 and 1992 were processed with modern research techniques. …”
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Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress by Amanda Post da Silveira

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Algorithm of athletes’ fitness structure individual features’ determination with the help of multidimensional analysis (on example of basketball) by Zh.L. Kozina, M. Cieslicka, K. Prusik, R. Muszkieta, I.N. Sobko, O.A. Ryepko, T.A. Bazilyuk, S.B. Polishchuk, A.V. Osiptsov, S.A. Korol

“…In every micro-cycle 30% is assigned for athletes’ individual training: athletes received individual tasks; groups on the base of cluster analysis data were formed, if necessary. Conclusions: when working out individual training programs, development of leading factors in individual factorial structure of athletes’ fitness shall be accented. …”
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Forestry Plans as the Source of Environmental Data for the Analysis of Bird Community Composition by Jakub Šimurda, Petr Šmilauer, Roman Fuchs

“…Forest management plans offer valuable data on forest species composition and structure, useful for large-scale bird conservation. …”
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An augmented GSNMF model for complete deconvolution of bulk RNA-seq data by Shaoyu Li, Su Xu, Xue Wang, Nilüfer Ertekin-Taner, Duan Chen

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Monitoring data of the openLAB research bridge – Part 1: Reference conditionOPARA by Andreas Jansen, Max Herbers, Bertram Richter, Maria Walker, Frank Jesse, Steffen Marx

“…Structural Health Monitoring (SHM) is emerging as an essential tool for ensuring the safety and longevity of an aging bridge infrastructure. …”
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Phylogeography of the Endangered Endemic <i>Perkinsiodendron macgregorii</i> Based on Chloroplast Genome Data by Ming-Hui Yan, Yan-Rong Du, Jia-Yi Zhao, Ke-Xin Xu, Lu Zhao, Jia-Meng Su, Lu-Miao Yan

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Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction by Olumuyiwa Falowo, A.S. Daramola, W.K. Olabisi

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Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

“…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
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LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING DATA) by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

“…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
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