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- research-articleJuly 2024
Cognitive decline with pupil constriction independent of subjective fatigue during prolonged esports across player expertise levels
- Takashi Matsui,
- Shion Takahashi,
- Genta Ochi,
- Seiji Yoshitake,
- Daisuke Funabashi,
- Hiroki Matsuoka,
- Junichi Kagesawa,
- Shohei Dobashi,
- Hisashi Yoshimoto,
- Yosuke Sakairi,
- Hideki Takagi
AbstractCognitive fatigue, a transient cognitive decline stemming from extended mental and physical activity, is well established in conventional contexts. However, its manifestation and self-awareness during digital pursuits, as an integrated style of ...
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Highlights- Prolonged esports induce cognitive decline independent of subjective fatigue.
- Cognitive decline occurs across different expertise levels of players.
- Subjective fatigue is not associated with objective cognitive decline.
- ...
- research-articleApril 2023
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies
- Marco S. Nobile,
- Giulia Capitoli,
- Virgil Sowirono,
- Francesca Clerici,
- Isabella Piga,
- Kirsten van Abeelen,
- Fulvio Magni,
- Fabio Pagni,
- Stefania Galimberti,
- Paolo Cazzaniga,
- Daniela Besozzi
Expert Systems with Applications: An International Journal (EXWA), Volume 215, Issue Chttps://doi.org/10.1016/j.eswa.2022.119296AbstractArtificial intelligence is getting a foothold in medicine for disease screening and diagnosis. While typical machine learning methods require large labeled datasets for training and validation, their application is limited in clinical ...
Highlights- Application of unsupervised learning for automated clustering of spectra profiles.
- research-articleAugust 2022
An intelligent framework for prediction and forecasting of dissolved oxygen level and biofloc amount in a shrimp culture system using machine learning techniques
Expert Systems with Applications: An International Journal (EXWA), Volume 199, Issue Chttps://doi.org/10.1016/j.eswa.2022.117160Graphical abstractDisplay Omitted
Highlights- Predictive model for average dissolved oxygen (DO) levels is robust and reliable.
- Maintaining optimal flocculation level in pond helps in healthy growth of shrimp.
- Feature selection via Mutual Information is highly accurate for DO ...
The present study approaches towards the feasibility of prediction and forecasting of dissolved oxygen (DO) and biofloc amount using the state of art machine learning algorithms in a shrimp culture system. The study was carried out considering; ...
- research-articleAugust 2022
Impact of calcium ions on the structural and dynamic properties of heparin oligosaccharides by computational analysis
Computational Biology and Chemistry (COBC), Volume 99, Issue Chttps://doi.org/10.1016/j.compbiolchem.2022.107727AbstractHeparin (HP) belongs to glycosaminoglycans (GAGs), anionic linear polysaccharides composed of repetitive disaccharide units. They are key players in many biological processes occurring in the extracellular matrix and at the cell surface. GAGs are ...
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Highlights- Ca2+ parameterization strategy is crucial for modeling of heparin-ion complexes.
- The presence of Ca2+ leads to the decrease of heparin’s radius of gyration.
- The presence of Ca2+ strengthens heparin’s intramolecular hydrogen bonds.
- research-articleAugust 2022
Molecular dynamics-based descriptors of 3-O-Sulfated Heparan sulfate as contributors of protein binding specificity
- Annemarie Danielsson,
- Małgorzata M. Kogut,
- Martyna Maszota-Zieleniak,
- Pradeep Chopra,
- Geert-Jan Boons,
- Sergey A. Samsonov
Computational Biology and Chemistry (COBC), Volume 99, Issue Chttps://doi.org/10.1016/j.compbiolchem.2022.107716AbstractGlycosaminoglycans are linear periodic and anionic polysaccharides found in the extracellular matrix, involved in a range of key biochemical processes as a result of their interactions with a variety of protein partners. Due to the template-less ...
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Highlights- Deeper insight into the specificity of heparan sulfate-protein binding.
- Physicochemical descriptors of heparan sulfate linked to binding affinity.
- Molecular dynamics of heparan sulfate used for binding specificity determination.
- research-articleJune 2022
Decision fusion for reliable fault classification in energy-intensive process industries
AbstractHeavy industries such as oil & gas, steel & iron production, the cement industry, chemical processes, and pulp & paper mills are among the industries that contribute most to greenhouse gas emissions. The operation of processes in these ...
Highlights- This paper combines decisions of diversified machine learning fault classifiers.
- articleSeptember 2017
Integrating sleep and pass transistor logic for leakage power reduction in FinFET circuits
Journal of Computational Electronics (SPJCE), Volume 16, Issue 3Pages 867–874https://doi.org/10.1007/s10825-017-1034-3This work impacts on the huge potential of FinFET technology, which can replace bulk MOS below 32 nm. Here, two new techniques are introduced to mitigate leakage power as leakage controlling pass transistor P-type LCPT (P) and leakage controlling pass ...
- articleJanuary 2013
Hewlett Packard: Delivering Profitable Growth for HPDirect.com Using Operations Research
- Rohit Tandon,
- Arnab Chakraborty,
- Girish Srinivasan,
- Manav Shroff,
- Ahmar Abdullah,
- Bharathan Shamasundar,
- Ritwik Sinha,
- Suresh Subramanian,
- Dave Hill,
- Prasanna Dhore
Hewlett Packard HP entered the online consumer sales business with its launch of HPDirect.com, a portal that allows consumers to purchase HP products e.g., desktop and notebook computers, printers, accessories, supplies online. This paper describes ...
- articleJanuary 2013
Multimedia Grand Challenge 2012
The Multimedia Grand Challenge is a recurring event at the ACM Multimedia Conference series. During this event, delegates from various industries define a number of challenges that they consider of interest from both a business and scientific ...
- ArticleSeptember 2010
First TPC-energy benchmark: lessons learned in practice
TPC-Energy specification augments the existing TPC Benchmarks with Energy Metrics. The TPC-Energy specification is designed to help hardware buyers identify energy efficient equipment that meets both their computational and budgetary requirements. In ...
- articleAugust 2009
Multiple correspondence analysis in predictive logistic modelling: Application to a living-donor kidney transplantation data
- Renan Moritz Varnier R. Almeida,
- Antonio Fernando C. Infantosi,
- José Hermógenes R. Suassuna,
- João Carlos G. D. Costa
Computer Methods and Programs in Biomedicine (CBIO), Volume 95, Issue 2Pages 116–128https://doi.org/10.1016/j.cmpb.2009.02.003This work deals with the use of multiple correspondence analysis (MCA) and a weighted Euclidean distance (the tolerance distance) as an exploratory tool in developing predictive logistic models. The method was applied to a living-donor kidney transplant ...
- articleJune 2008
A heuristic index for selecting similar categories in multiple correspondence analysis applied to living donor kidney transplantation
- João Carlos G. D. Costa,
- Renan Moritz Varnier R. Almeida,
- Antonio Fernando C. Infantosi,
- José Hermógenes R. Suassuna
Computer Methods and Programs in Biomedicine (CBIO), Volume 90, Issue 3Pages 217–229https://doi.org/10.1016/j.cmpb.2008.01.005This work introduces a heuristic index (the ''tolerance distance'') to define the ''closeness'' of two variable categories in multiple correspondence analysis (MCA). This index is a weighted Euclidean distance where weightings are based on the ''...
- articleMay 2006
Mobility management across hybrid wireless networks: Trends and challenges
Computer Communications (COMS), Volume 29, Issue 9Pages 1363–1385https://doi.org/10.1016/j.comcom.2005.09.003Future generation wireless networks are envisioned to be a combination of diverse but complementary access technologies. Internetworking these types of networks will provide mobile users with ubiquitous connectivity across a wide range of networking ...