19 papers · ranked by Valyu relevance
Marko Topalović, Vladimir Milovanović, Vladimir Dunić, Miroslav Živković + 2 more
Construction materials like steel and concrete have been used for thousands of years; however, their industrial-scale production began relatively recently in the 19th century. These materials are still being improved as the drive to build taller buildings, longer bridges, larger dams, and similar engineering marvels…
Dillon M. Brown, Machelle T. Pardue, C. Ross Ethier
Measuring the biomechanical properties of the mouse sclera is of great interest, since altered scleral properties are features of many common ocular pathologies, and the mouse is a powerful species for studying genetic factors in disease. Here, a poroelastic material model is used to analyze data from unconfined…
Zuzana Murčinková, Rudolf Holíček, Petr Baron, Martin Onufer + 1 more
'Chenggao Li'] This paper addresses the analysis of compressive stress limit values of plastic components with a thickness of no more than 3 mm used in bolted joints, especially in the automotive industry. The results of the compression tests show that the compressive stress limit values often exceed the tensile stress…
Carmela Oria, Isidro Carrascal, Diego Ferreño, Cristina Méndez + 1 more
'Alfredo Ortiz'] The structural elements within power transformers are commonly constructed from high-density pressboard, chosen for its favourable mechanical and dielectric properties. Among these elements are the spacers employed in the windings of transformers, which endure compressive loading during operation. The…
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Kernel two-sample testing provides a powerful framework for distinguishing any pair of distributions based on n sample points. However, existing kernel tests either run in n 2 time or sacrifice undue power to improve runtime. To address these shortcomings, we introduce Compress Then Test (CTT), a new framework for…
N. Briot, G. Chagnon, N. Connesson, T. Alonso + 3 more
'Y. Payan' 'Fahd Saeed Alakbari'] At present, there are many ways to measure the compressibility coefficient of a sample, but none of them allow the measurement of compressibility on samples that cannot be cut to a precise shape, such as human soft tissue, rubber-like materials and polymers. The objective of this study…
Olukayode I. Imole, Maria Paulick, Martin Morgeneyer, Vanessa Magnanimo + 4 more
'Vanessa Magnanimo' 'Bruno E. Chávez Montes' 'Marco Ramaioli' 'Arno Kwade' 'Stefan Luding'] We present findings from uniaxial (oedometric) compression tests on two cohesive industrially relevant granular materials (cocoa and limestone powder). Experimental results are presented for the compressibility, tested with two…
Cassio Ricardo Auada Ferringo, George Diggs, Daniel D Lewis, Scott A Banks
The objective of this study was to determine compressive loads that could be generated using a tibial plateau leveling osteotomy (TPLO) jig with a tensioned strand of 18-gauge stainless steel orthopedic wire in a simulated transverse fracture model. The wire was sequentially tensioned using heavy needle holders or an…
Miaoshan Lu, Junjie Tong, Ruimin Wang, Shaowei An + 2 more
Mass spectrum (MS) data volumes increase with an improved ion acquisition ratio and a highly accurate mass spectrometer. However, the most widely used data format, mzML, does not take advantage of compression methods and improved read performances. Several compression algorithms have been proposed in recent years, and…
Yusuke Tsuboko, Hideyuki Sakoda, Yoshihiro Okamoto, Yusuke Nomura + 3 more
'Eiichi Yamamoto' 'Ana Sara Cordeiro' 'Aaron Hutton'] Background: This study aims to investigate the impact of test conditions on the results of the compression testing of microneedle arrays (MNAs). Methods: Uniaxial compression tests were conducted on polyglycolic acid-fabricated biodegradable MNAs. Load-displacement…
Bogdan Bolborea, Cornelia Baera, Sorin Dan, Aurelian Gruin + 3 more
'Dumitru-Doru Burduhos-Nergis' 'Vasilica Vasile' 'Jie Hu'] Developing non-destructive methods (NDT) that can deliver faster and more accurate results is an objective pursued by many researchers. The purpose of this paper is to present a new approach in predicting the concrete compressive strength through means of…
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung + 3 more
Deep Neural Network Authors: ['Yongqiang Tian' 'Wuqi Zhang' 'Ming Wen' 'Shing-Chi Cheung' 'C. P. Sun' 'Shiqing Ma' 'Yu Jiang'] Model compression can significantly reduce the sizes of deep neural network (DNN) models, and thus facilitates the dissemination of sophisticated, sizable DNN models, especially for their…
Mohammed Hlayel, Hairulnizam Mahdin, Mohammad Hayajneh, Saleh H. AlDaajeh + 3 more
'Saleh H. AlDaajeh' 'Siti Salwani Yaacob' 'Mazidah Mat Rejab' 'Shahid Rahman'] The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR).…
А. М. Брагов, А. К. Ломунов
An analysis is presented of the applicability of the Kolsky technique for studying the high-rate deformation processes of structural materials under compression. Errors in the method caused by inertia and friction are estimated. Modifications of the Kolsky method for studying the properties of materials subjected to…
Authors not listed
This work focuses on a novel human-centered digital assistant combining Mixed Reality (MR), Computer Vision and Machine Learning regression to guide professionals and students on how to operate and correctly parameterize battery manufacturing machinery. Our Concept article aim is to provide a proof of concept of our…
B. M. Unikewicz, A. M. Pincot, Tal Cohen
Properties Authors: ['B. M. Unikewicz' 'A. M. Pincot' 'Tal Cohen'] Soft material research has seen significant growth in recent years, with emerging applications in robotics, electronics, and healthcare diagnostics where understanding material mechanical response is crucial for precision design. Traditional methods for…
Julia Gasol-Cardona, Martin Ward, Olof Gutowski, Jakub Drnec + 6 more
X-ray Diffraction Computed Tomography (XRD-CT) represents a cutting-edge method for non-destructive material analysis, offering the unique capability of providing molecular-level information with spatial resolution. In this study, we have applied XRD-CT to investigate pharmaceutically relevant tablets that have been…
Rashen Lou Omongos, Diego Galvez-Aranda, Franco Zanotto, Andras Vernes + 1 more
The gas diffusion layer (GDL) is a vital component within PEMFCs, playing a crucial role in mass and heat transport. Enhancing the microstructure of the GDL directly improves transport properties, thereby leading to more efficient and durable PEMFCs. In this study, we developed a novel machine learning methodology to…
Laura Smith, Paul Jones
Force plate testing is commonly used to assess athlete performance, however there is no research into the effect the surface underneath the force plate has on derived variables. The aim of this study was to investigate whether different surfaces underneath a force plate would elicit differences in derived force plate…