Results 61 to 70 of about 261,314 (251)
ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem +9 more
wiley +1 more source
ECE cipher: Enhanced convergent encryption for securing and deduplicating public cloud data
Cloud computing offers scalable and cost-effective storage solutions, but concerns over data security, unauthorized access, and storage inefficiencies remain significant. Data deduplication is crucial in reducing storage costs by eliminating redundant copies, yet traditional encryption methods hinder deduplication by generating unique ciphertexts for ...
Priya Nandhagopal, Jayasimman Lawrence
openaire +1 more source
Secure Cloud Storage: A Framework for Data Protection as a Service in the Multi-cloud Environment [PDF]
This paper introduces Secure Cloud Storage (SCS), a framework for Data Protection as a Service (DPaaS) to cloud computing users. Compared to the existing Data Encryption as a Service (DEaaS) such as those provided by Amazon and Google, DPaaS provides ...
Colombo, Maurizio +11 more
core +1 more source
Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy
ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse +13 more
wiley +1 more source
Secure cloud storage is considered one of the most important issues that both businesses and end-users are considering before moving their private data to the cloud.
Michalas, A.
core +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Optimal Asymmetric Data Encryption Algorithm [PDF]
Today public-key cryptosystems are particularly vulnerable to fetching cipher text and adaptively matched plaintext attacks To prevent such attacks in practice optimal asymmetric algorithms are used for example RSA-OAEP and etc In this article ...
Kuryazov D.M.
core
Assessment of Numerical Method by Experimental Data for Integrated Hypersonic Vehicles
This paper addresses the problem of rapid aerodynamic assessment and experimental verification of integrated hypersonic vehicles. Based on the adaptive Cartesian grid system, the aerodynamic performance of the air-breathing hypersonic vehicle is ...
X. Wen, J. Liu, Z. Liu, Z. Xia, L. Jin
doaj
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source

