Results 91 to 100 of about 3,066 (281)
ABSTRACT There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring rapid process development and cost‐efficient manufacturing. Indeed, Food and Drug Administration (FDA) introduced the Process Analytical Technology (PAT) as an initiative enabling manufacturers to
Samuele Fiorenza +5 more
wiley +1 more source
ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee +3 more
wiley +1 more source
Edge caching and Dynamic Vision Sensing for low delay access to visual medical information
A new system is proposed to reduce the transmission delay of visual and non-visual medical records by using edge caching and Dynamic Vision Sensing (DVS) technologies.
T. Shikh-Bahaei +7 more
core +1 more source
Exact Computation of the Color Function for Triangular Element Interfaces
We propose a robust algorithm, the Front2VOF algorithm, to compute the color function for triangular element interfaces in Front‐Tracking methods on a Cartesian mesh. ABSTRACT The calculation of the volume enclosed by curved surfaces discretized into triangular elements and a cube is of great importance in different domains, such as computer graphics ...
Jieyun Pan +8 more
wiley +1 more source
Efficient Caching for Data-Driven IoT Applications and Fast Content Delivery with Low Latency in ICN
Edge computing is a key paradigm for the various data-intensive Internet of Things (IoT) applications where caching plays a significant role at the edge of the network.
Kamrul Hasan, Seong-Ho Jeong
doaj +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
The rapid proliferation of Internet of Things (IoT) devices has dramatically increased the demand for efficient data processing, making caching a critical solution for achieving high-performance and cost-effective storage in edge environments.
Jian Liu, Yuxin Chen, Hao Ding
doaj +1 more source
Mobility-Aware Coded Probabilistic Caching Scheme for MEC-Enabled Small Cell Networks
Caching on the edge has been recognized as an effective solution to tackle the backhaul constraint of network densification. However, most related works ignored user mobility in wireless networks, which is unreasonable under the background of network ...
Xinwei Liu +3 more
doaj +1 more source
Evaluation of Mutation Risk Using Patient‐Derived Organoids in Patients With Lynch Syndrome
ABSTRACT Lynch syndrome (LS) is a hereditary cancer predisposition syndrome caused by germline mutation of DNA mismatch repair (MMR) genes, most notably associated with colorectal cancer. Although LS patients face high risk of CRC, risk can vary even among those with the same pathogenic MMR germline mutations. We suggest a functional assay platform for
Youmi Shin +10 more
wiley +1 more source
Blockchain-Based Secure Content Caching and Computation for Edge Computing
The current explosion in user traffic necessitates the placement of edge servers in proximity to the Internet of Things (IoT) devices, allowing computation tasks to be offloaded to edge servers. This strategy aims to minimize the average delay of traffic
Elif Bozkaya-Aras
doaj +1 more source

