Results 21 to 30 of about 1,111,157 (249)

Support Vector Regression-Based Active Subspace (SVR-AS) Modeling of High-Speed Links for Fast and Accurate Sensitivity Analysis

open access: yesIEEE Access, 2020
A methodology based on the joint usage of support vector regression and active subspace is introduced in this paper for accelerated sensitivity analysis of high-speed links through parameter space dimensionality reduction.
Hanzhi Ma   +3 more
doaj   +1 more source

Statistical Eye Diagrams for High-Speed Interconnects of Packages: A Review

open access: yesIEEE Access
An eye diagram, a critical metric in signal integrity analysis for high-speed interconnects such as packages, interposer, and printed circuit boards (PCBs), is generated by superposition of the received waveform.
Junyong Park, Donghyun Kim
doaj   +1 more source

A Statistical Approach for Signal and Power Integrity Co-Design in High-Speed Interconnects Considering Non-Linear Power/Ground Noise and Bit-Patterns

open access: yesMicromachines, 2023
In this article, a novel statistical approach is proposed and applied to co-design signal and power integrity (SI/PI) in high-speed interconnects considering the non-linear power/ground noise generated by parallel buffers and bit-patterns. With increased
Youngwoo Kim
doaj   +1 more source

Towards diagram understanding : a pilot study measuring cognitive workload through eye-tracking [PDF]

open access: yes, 2014
We investigate model understanding, in particular , how the quality of the UML diagram layout impacts cognitive load. We hypothesize that this w ill have a significant impact on the structure and effectiveness of engineers’ communication.
Baltsen, Nick   +3 more
core   +3 more sources

Visualizing Sets: An Empirical Comparison of Diagram Types [PDF]

open access: yes, 2014
There are a range of diagram types that can be used to visualize sets. However, there is a significant lack of insight into which is the most effective visualization.
Luana Micallef   +11 more
core   +1 more source

The Role of Visual Representations in Undergraduate Students’ Learning about Genetic Inheritance

open access: yesEducation Sciences
Prior work has shown that many undergraduate students have misconceptions about genetic inheritance, even after they take genetics courses. Visual representations, such as pedigree diagrams, are commonly used in genetics instruction, and they help ...
David Menendez   +6 more
doaj   +1 more source

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

open access: yesMolecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault   +12 more
wiley   +1 more source

Measuring Cognition Load Using Eye-Tracking Parameters Based on Algorithm Description Tools

open access: yesSensors, 2022
Writing a computer program is a complex cognitive task, especially for a new person in the field. In this research an eye-tracking system was developed and applied, which allows the observation of eye movement parameters during programming as a complex ...
Jozsef Katona
doaj   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

open access: yesFEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty   +13 more
wiley   +1 more source

Nonlinearity Estimation in Optical Fiber Communication Through Convolutional Neural Networks

open access: yesIEEE Access
This paper proposes a deep learning workflow using a Convolutional Neural Network (CNN) to estimate nonlinearities in optical communication, potentially improving the performance of optical communication systems in various commercial applications. In the
Zulfiqar Ahmad   +5 more
doaj   +1 more source

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