Results 71 to 80 of about 2,729 (217)

Optimized Protocol for the Isolation of UHMWPE Wear Debris by Lyophilization and Chemometric Identification (EDS/PCA)

Journal of Biomedical Materials Research Part B: Applied Biomaterials, Volume 114, Issue 5, May 2026.
An optimized protocol combining serum lyophilization, solid‐state alkaline digestion, and PCA‐assisted EDS analysis was validated for the analysis of UHMWPE wear debris. The method increased recovery yield by 20‐fold compared to liquid digestion and preserved particle morphology.
Luis Antonio da Costa Bento, Vanessa Kapps, Rafael Mello Trommer, Bráulio Soares Archanjo, José Mauro Granjeiro, Marcia Marie Maru de Moraes   +5 more
wiley   +1 more source

Short‐Term Oral Spermidine Supplementation Modifies Aspects of Neurodegenerative Disease in Flies and Mice With MPS III

Journal of Inherited Metabolic Disease, Volume 49, Issue 3, May 2026.
ABSTRACT Mucopolysaccharidosis type III (MPS III) is a group of autosomal recessive neurodegenerative lysosomal storage disorders that causes progressive cognitive and physical impairment, predominantly in child/early adulthood. The median age of death is 17 years as there is no safe, effective treatment approved.
Helen Beard, Sonia Dayan, Karissa Barthelson, Laura Hewson, Louise V. O'Keefe, Kim M. Hemsley   +5 more
wiley   +1 more source

Collective Autoscaling for Cloud Microservices

, 2021
As cloud applications shift from monoliths to loosely coupled microservices, application developers must decide how many compute resources (e.g., number of replicated containers) to assign to each microservice within an application. This decision affects both (1) the dollar cost to the application developer and (2) the end-to-end latency perceived by ...
Sachidananda, Vighnesh, Sivaraman, Anirudh   +1 more
openaire   +2 more sources

ML-Based Autoscaling for Elastic Cloud Applications: Taxonomy, Frameworks, and Evaluation

Mathematical and Computational Applications
Elastic cloud systems are increasingly employing machine learning (ML) to automate resource scaling in response to variable workloads and stringent service-level objectives. However, current ML-based autoscalers are fragmented across different platforms,
Vishwanath Srikanth Machiraju, Vijay Kumar, Sahil Sharma   +2 more
doaj   +1 more source

Volatilomic Differentiation of Protected‐Origin Italian Balsamic Vinegars by HS‐SPME‐GC×GC‐TOFMS

Journal of Separation Science, Volume 49, Issue 5, May 2026.
ABSTRACT Balsamic vinegars produced under Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) schemes differ substantially in raw materials, processing intensity, and aging regimes. Although these differences are expected to shape their volatile composition, a comprehensive chemical characterization capable of reliably ...
Sofia Malcangi, Allan Polidoro, Monica Romagnoli, Alberto Cavazzini, Flavio A. Franchina   +4 more
wiley   +1 more source

PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes

IEEE Access
With the evolution of container technology, there has been increasing interest in the operation of stateful applications in cloud environments. Kubernetes supports the management and scaling of stateful applications using features, such as StatefulSets ...
Ji-Hyun Na, Hyeon-Jin Yu, Hyeongbin Kang, Heeju Kang, Hee-Dong Lim, Jae-Hyuck Shin, Seo-Young Noh   +6 more
doaj   +1 more source

Towards Yo-Yo attack mitigation in cloud auto-scaling mechanism

Digital Communications and Networks, 2020
Cloud platforms could automatically scale underlying network resources up and down in response to changes in the traffic load. Such an auto-scaling mechanism can largely enhance the elasticity and scalability of cloud platforms. However, it may introduce
Xiaoqiong Xu, Jin Li, Hongfang Yu, Long Luo, Xuetao Wei, Gang Sun   +5 more
doaj   +1 more source

Self-adaptive trade-off decision making for autoscaling cloud-based services [PDF]

, 2015
Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services. However, the difficulty lies in the facts that these objectives, e.
Bahsoon, R, Rami Bahsoon (7401395), Chen, T, Chen, Tao, Bahsoon, Rami, Tao Chen (7050698)   +5 more
core   +1 more source

Multi‐Decadal Trends in the Low Latitude foF2 Driven by Secular Magnetic Variations

Journal of Geophysical Research: Space Physics, Volume 131, Issue 5, May 2026.
Abstract Long‐term ionospheric trends have been widely studied, but their origin and magnitude remain subjects of debate. This study quantifies the linear trend in the F2‐region critical frequency (foF2) and its local time dependence using observations from eight low‐latitude ionosonde stations.
D. Singh, S. R. Zhang, L. P. Goncharenko, I. S. Batista, A. J. Coster   +4 more
wiley   +1 more source

Addressing Technical Challenges in Large Language Model-Driven Educational Software System

IEEE Access
The integration of large language models (LLMs) into educational systems poses significant challenges across several key attributes, including integration, explainability, testability, and scalability.
Nacha Chondamrongkul, Georgi Hristov, Punnarumol Temdee   +2 more
doaj   +1 more source