Negative / Null Result ReportEngineering
Narayana Raju, Shriniwas Arkatkar, Gaurang Joshi · 2019 · Journal of Intelligent Transportation Systems
This research work is focused on modeling vehicle following behavior under mixed traffic conditions. Vehicle-following behavior can be potentially utilized in building real-time drivers’ assistance systems or identifying collision escaping…
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Tomáš Suchý, Martin Bartoš, Radek Sedláček et al. · 2021 · Materials
This study aims to point out the main drawback with respect to the design of simulated body environments. Three media commonly used for the simulation of the identical body environment were selected, i.e., Kokubo's simulated body fluid that simulates the inorganic component of human blood plasma, human blood plasma, and phosphate buffer saline. A comparison was performed of the effects of the media on collagen scaffolds. The mechanical and structural effects of the media were determined via the application of compression mechanical tests, the determination of mass loss, and image and micro-CT
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Anna A. Stec, T. Richard Hull, David Purser et al. · 2014 · Fire Safety Science
In a fire, normally non-hazardous thermoplastic materials can produce lethal concentrations of toxic effluents in the smoke. The toxic product yields of the asphyxiants carbon monoxide (CO) and hydrogen cyanide (HCN) from developed fires…
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Tien‐Yu Yang, Tsan-Wen Huang, Po‐Yao Chuang et al. · 2018 · BMC Musculoskeletal Disorders
BACKGROUND: Displaced transverse fractures of the body of the patella are usually associated with disruption of extensor mechanism and should be fixed surgically. The most common method is a tension band wiring (TBW) technique. Some surgeons concurrently employ an augmented circumferential cerclage wiring (ACCW) technique to help fracture stabilization and aid in fracture healing; however, its role and effect on the treatment outcomes is unclear. METHODS: We performed a STROBE-compliant retrospective observational cohort study on all cases of acute closed patella fracture that were treated at
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Matthias Langer, Ashley Hall, Zhen He et al. · 2018 · IEEE Transactions on Parallel and Distributed Systems
Many distributed deep learning systems have been published over the past few years, often accompanied by impressive performance claims. In practice these figures are often achieved in high performance computing (HPC) environments with fast…
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Guy E. Blelloch, Girija Narlikar · 2018 · Figshare
This work compares three algorithms for the three dimensional N-body problem, the Barnes-Hut algorithm, Greengard's Fast Multipole Method(FMM), and the Parallel Multipole Tree Algorithm (PMTA) to determine which of the algorithms performs…
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S. M. Abd Elazim, M.H. Elkholy, Abdelrahman Elgarhy et al. · 2025 · Scientific Reports
Growing integration of renewable energy sources (RESs) into power grids has several advantages, including reduced greenhouse gas emissions and improved energy sustainability. Despite the related benefits, RES integration also poses actual…
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Marwa Radwan, Abdelhameed Ibrahim, M. A. Abdelsalam et al. · 2026 · Scientific Reports
Deep learning models often encounter two key challenges in developing intelligent and scalable forecasting frameworks for renewable energy systems: input feature space dimensionality and sensitivity to hyperparameter settings. These limitations increase computational cost and compromise generalization and robustness. This paper presents a hybrid deep learning-optimization framework that leverages cognitively inspired metaheuristics to address these challenges, employing the Binary iHow Optimization Algorithm (biHOW) for feature selection and its continuous counterpart, iHOW, for hyperparameter
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Nour El Din El Sheikh, Esteban Paz, Juan Pinto et al. · 2021
The blocking performance of a heuristic and a deep reinforcement learning approach for resource provisioning in a dynamic multi-band elastic optical network is evaluated. The heuristic is based on a previous proposal that prioritises the…
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Gardênia Marinho Cordeiro, M.F. Figueirêdo, Wagner Brandão Ramos et al. · 2017 · Industrial & Engineering Chemistry Research
Currently, process intensification using dividing-wall columns (DWCs) is one of the most promising alternatives for reducing the costs of the distillation process. However, for extractive distillation, there are still questions regarding…
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Matthew D. Wadge, Bryan W. Stuart, Kathryn G. Thomas et al. · 2018 · Materials & Design
Infection negation and biofilm prevention are necessary developments needed for implant materials. Furthermore, an increase in publications regarding gallium (Ga) as an antimicrobial ion has resulted in bacterial-inhibitory surfaces incorporating gallium as opposed to silver (Ag). The authors present the production of novel gallium titanate surfaces through hydrothermal ion-exchange reactions. Commercially-pure Ti (S0: Cp-Ti) was initially suspended in NaOH solutions to obtain sodium titanate (S1: Na2TiO3) layers ca. 0.5–1 μm in depth (2.4 at.% Na). Subsequent suspension in Ga(NO3)3 (S2: Ga2(T
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Jongwook Choi, Yuwen Zhang · 2020 · Numerical Heat Transfer Part A Applications
The oscillatory flow and the heat transfer in two-dimensional pulsating heat pipes (PHPs) with multi-turns were simulated using OpenFOAM. The volume of fluid method was used for the phase change, and the behavior of the working fluid was…
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Suribabu Conety Ravi, Neelakantan Thurvas Renganathan, Sivakumar Perumal et al. · 2019 · Drinking water engineering and science
Abstract. Pressure-driven analysis (PDA) of water distribution networks necessitates an assessment of the supplying capacity of a network within the minimum and required pressure ranges. Pressure-deficient conditions happen due to the uncertainty of nodal demands, failure of electromechanical components, diversion of water, aging of pipes, permanent increase in the demand at certain supply nodes, fire demand, etc. As the demand-driven analysis (DDA) solves the governing equations without any bound on pressure head, it fails to replicate the real scenario, particularly when the network experien
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Shane Esola, Brian Wisner, Prashanth A. Vanniamparambil et al. · 2018 · Applied Sciences
The research presented in this article aims to demonstrate how acoustic emission (AE) monitoring can be implemented in an industrial setting to assist with part qualification, as mandated by related industry standards. The combined structural and nondestructive evaluation method presented departs from the traditional pass/fail criteria used for part qualification, and contributes toward a multi-dimensional assessment by taking advantage of AE data recorded during structural testing. To demonstrate the application of this method, 16 composite fixed-wing-aircraft spars were tested using a struct
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Yaser Maddahi, Kourosh Zareinia, Liu Shi Gan et al. · 2016 · BioMed Research International
The use of robotic technology in the surgical treatment of brain tumour promises increased precision and accuracy in the performance of surgery. Robotic manipulators may allow superior access to narrow surgical corridors compared to freehand or conventional neurosurgery. This paper reports values and ranges of tool-tissue interaction forces during the performance of glioma surgery using an MR compatible, image-guided neurosurgical robot called neuroArm. The system, capable of microsurgery and stereotaxy, was used in the surgical resection of glioma in seven cases. neuroArm is equipped with for
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John Keane, Wei Zhang, Chris H. Kim · 2010
We present an array-based system to accurately study variations in ROSC aging. Microsecond measurements for minimal BTI recovery, and frequency shift measurement resolution ranging down to the error floor of 0.07% are achieved with three…
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Michael Schütt, Connor O’Farrell, Konstantinos Stamatopoulos et al. · 2022 · Pharmaceutics
The performance of solid oral dosage forms targeting the colon is typically evaluated using standardised pharmacopeial dissolution apparatuses. However, these fail to replicate colonic hydrodynamics. This study develops a digital twin of the Dynamic Colon Model; a physiologically representative in vitro model of the human proximal colon. Magnetic resonance imaging of the Dynamic Colon Model verified that the digital twin robustly replicated flow patterns under different physiological conditions (media viscosity, volume, and peristaltic wave speed). During local contractile activity, antegrade
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John Redmond, Helen O. McCarthy, Paul Buchanan et al. · 2022 · Biomaterials Advances
While 2D culture presents a useful tool for cancer research, it fails to replicate the tumor microenvironment as it lacks proper three-dimensional cell-cell/cell-matrix interactions, often resulting in exaggerated responses to therapeutic agents. 3D models that aim to overcome the issues associated with 2D culture research offer a new frontier for cancer research with cell growth, morphology and genetic properties that more closely match in vivo cancers. Herein, we aim to develop a collagen-based scaffold that supports the attachment and proliferation of breast cancer (BC) cells as a 3D cultur
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Poundoss Chellamuthu, Kirubaveni Savarimuthu, M. Gulam Nabi Alsath et al. · 2026 · Scientific Reports
Chronic Obstructive Pulmonary Disease (COPD) is a progressively debilitating and life-threatening respiratory condition that has long been attributed to exposure to airborne toxic substances like carbon monoxide (CO), a reliable biomarker…
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Jianghui Zheng, Guoliang Wang, Leiping Duan et al. · 2025 · Nature Nanotechnology
Abstract Triple‐junction solar cells theoretically outperform their double-junction and single‐junction counterparts in power conversion efficiency, yet practical perovskite–perovskite–silicon devices have fallen short of both theoretical limits and commercial targets. To address surface defects in the top perovskite junction, we introduce a piperazine-1,4-diium chloride treatment, which replaces less stable lithium fluoride. For interfacing the top and middle perovskite junctions, we optimize the size of gold nanoparticles deposited on atomic layer-deposited tin oxide for best ohmic contactin
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Seong Ki Yoo, Simon L. Cotton, Young Jin Chun et al. · 2017 · IEEE Antennas and Wireless Propagation Letters
This letter investigates the first-order characteristics of dynamic off-body communications channels at 60 GHz. In particular, we have studied signal propagation from a chest-worn millimeter-wave transmitter as an adult male walked toward and then away from a hypothetical base station. The mobile line-of-sight (LOS) and non-LOS (NLOS) channel measurements have been conducted in a diverse range of environments, including a hallway, an open office, an anechoic chamber, and an outdoor car park. In this study, we have decomposed the received signal into its path loss, large-scale, and small-scale
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Federico Serpe, Carlo Massimo Casciola, Giancarlo Ruocco et al. · 2024 · International Journal of Bioprinting
Microfluidics is rapidly revolutionizing the scientific panorama, providing unmatched high-throughput platforms that find application in numerous areas of physics, chemistry, biology, and materials science. Recently, microfluidic chips have been proposed, in combination with bioactive materials, as promising tools for spinning cell-laden fibers with on-demand characteristics. However, cells encapsulated in filaments produced via microfluidic spinning technology are confined in a quasi-three-dimensional (3D) environment that fails to replicate the intricate 3D architecture of biological tissues
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Roland Imhoff, Jens Lange, Markus Germar · 2018 · Cognition & Emotion
Spatial cueing paradigms are popular tools to assess human attention to emotional stimuli, but different variants of these paradigms differ in what participants' primary task is. In one variant, participants indicate the location of the…
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Filippo Laganà, Danilo Pratticò, Marco F. Quattrone et al. · 2026 · Eng—Advances in Engineering
Defects in printed circuit boards (PCBs), if not detected promptly, may persist over time until they cause the failure of critical components. Traditional monitoring methods, which are limited to simulations or superficial measurements, obstruct predictive maintenance and real-time fault detection. To address these issues and enhance real-time diagnostics of thermal anomalies in PCBs, this work proposes an integrated system that combines infrared thermography (IRT), artificial intelligence (AI) algorithms, and Taguchi–ANOVA statistical techniques. IR thermography was employed to identify therm
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Peter D. Dunning · 2020 · Structural and Multidisciplinary Optimization
Abstract This paper investigates the application of the co-rotational method to solve geometrically nonlinear topology optimization problems. The main benefit of this approach is that the tangent stiffness matrix is naturally positive definite, which avoids some numerical issues encountered when using other approaches. Three different methods for constructing the tangent stiffness matrix are investigated: a simplified method, where the linear elastic stiffness matrix is simply rotated; the consistent method, where the tangent stiffness is derived by differentiating residual forces by displacem
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Daniel Rasbash, Kevin Joseph Dillman, Jukka Heinonen et al. · 2023 · Sustainability
Electrification is considered key to decarbonizing the transport sector. While electric vehicles (EVs) lack tailpipe emissions, battery and electricity production can lead to significant emissions. This study analysed whether EVs can effectively mitigate GHG emissions in North America, by calculating two GHG breakeven indicators for EVs and comparing them to internal combustion engine vehicles (ICEVs). EV life cycle emissions were compared to those of ICEVs in Canada, Mexico, and the USA. In addition, this study considered potential national electricity grids evolutions and improvements in bat
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Lukas Koedijk, Ana Oprescu · 2022
The EU Green Deal mirrors the societal concern regarding climate change. In the software industry this means reducing the energy consumption of a program. This can be done by looking both at the hardware and the software used. We take a…
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Maureen van Eijnatten, Leonardo Rundo, Batenburg, Joost et al. · 2021 · Data Archiving and Networked Services (DANS)
Background and Objectives: Deep learning is being increasingly used for deformable image registration and unsupervised approaches, in particular, have shown great potential. However, the registration of abdominopelvic Computed Tomography…
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Pengcheng Niu, Wenya Li, Z. Zhang et al. · 2016 · Science and Technology of Welding & Joining
A 30–40 μm thick oxide layer was prefabricated on the top, butt or bottom surfaces of AA2024 sheets by micro-arc oxidation, which were then friction stir welded. Sheets without oxide layer were also welded with blowing oxygen along the…
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Takahiro Ezaki, Kazumichi Ohtsuka, Mohcine Chraibi et al. · 2026 · Qucosa (Saxon State and University Library Dresden)
To better design safe and comfortable urban spaces, understanding the nature of human crowd movement is important. However, precise interactions among pedestrians are difficult to measure in the presence of their complex decision-making processes and many related factors. While extensive studies on pedestrian flow through bottlenecks and corridors have been conducted, the dominant mode of interaction in these scenarios may not be relevant in different scenarios. Here, we attempt to decipher the factors that affect human reactions to other individuals from a different perspective. We conducted
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