Results 71 to 80 of about 467,512 (287)

Selective Benzene Capture by Metal‐Organic Frameworks

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han   +4 more
wiley   +1 more source

Sensor Node Deployment Optimization for Continuous Coverage in WSNs

open access: yesSensors
Optimizing sensor node coverage remains a central challenge in wireless sensor networks (WSNs), where premature convergence and suboptimal solutions in traditional optimization methods often lead to coverage gaps and uneven node distribution.
Haris Muhammad, Haewoon Nam
doaj   +1 more source

On Efficient Deployment of Wireless Sensors for Coverage and Connectivity in Constrained 3D Space

open access: yesSensors, 2017
Sensor networks have been used in a rapidly increasing number of applications in many fields. This work generalizes a sensor deployment problem to place a minimum set of wireless sensors at candidate locations in constrained 3D space to k-cover a given ...
Chase Q. Wu, Li Wang
doaj   +1 more source

Host‐Directed Biomaterials for Combatting Bloodstream Infections: From Macrocyclic Peptides to Immune‐Activating Cell Backpacks

open access: yesAdvanced Functional Materials, EarlyView.
Bloodstream infections (BSI) are one of the leading causes of mortality and morbidity in both civilian and military populations. This paper summarizes recent progress in novel treatment strategies to manage BSI arising from both bacterial and fungal pathogens using molecules, particles, and materials to elicit host‐directed immunity.
Thomas Thomou   +11 more
wiley   +1 more source

Deploy-As-You-Go Wireless Relay Placement: An Optimal Sequential Decision Approach using the Multi-Relay Channel Model

open access: yes, 2017
We use information theoretic achievable rate formulas for the multi-relay channel to study the problem of as-you-go deployment of relay nodes. The achievable rate formulas are for full-duplex radios at the relays and for decode-and-forward relaying ...
Chattopadhyay, Arpan   +3 more
core   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

open access: yesAdvanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan   +14 more
wiley   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

open access: yesAdvanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song   +3 more
wiley   +1 more source

Impact of the Balloon Inflation Time and Pattern on the Coronary Stent Expansion

open access: yesJournal of Interventional Cardiology, 2019
Objectives. To assess the expansion pattern of coronary stents by using different balloon inflation times and pressures. Background. The selection of coronary stent size and its proper deployment is crucial in coronary artery interventions, having an ...
Jarosław Skowroński   +10 more
doaj   +1 more source

Continuous Deployment for Dependable Systems with Continuous Assurance Cases

open access: yes2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2019
An assurance case contains a structured argument supported by evidence, demonstrating that a system fulfils a certain quality attribute such as safety, cybersecurity or reliability. The traditional way of building assurance cases is, however, not well suited to continuous deployment, and difficult to maintain with a product structure where many ...
Warg, Fredrik   +3 more
openaire   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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