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83 results for “application of optimization”
Data from: Optimized application of the secreted Nano-luciferase reporter system using an affinity purification strategy
Secreted Nano-luciferase (secNluc) is a newly engineered secreted luciferase that possesses advantages of high structural stability, long half-life, and glow-type kinetics together with high light emission intensity, and thus would become one of the most valuable tools for bioluminescence assays. However, like other secreted luciferases, secNluc has to mix with the components in the conditioned medium surrounding test cells, or in the biological samples such as blood or urine after being secreted. These components may interfere with secNluc-catalyzed bioluminescence reactions and thus limit the application of the secNluc reporter system. In this study, we first examined the effects of three factors, pH, serum and residual reagents, on secNluc-catalyzed bioluminescence reactions, finding that these factors could interfere with bioluminescence reactions and result in background signal. To resolve these problems, we applied a simple affinity purification strategy in which secNluc was fused with a FLAG-tag, and anti-FLAG magnetic beads were used to catch and transfer the fusion protein to PBST, an optimal buffer for secNluc-catalyzed bioluminescence reactions that was identified in this study. The results indicated that this strategy could not only negate the interferences from serum or residual reagents and enhance the stability of light emission but also greatly increase signal intensity through enzyme enrichment. This strategy may contribute to biomedical studies that utilize secNluc and other secreted luciferases, especially those requiring superior sensitivity, low background noise and high reproducibility.
Learning the Characteristics of Engineering Optimization Problems with Applications in Automotive Crash
<p>Oftentimes the characteristics of real-world engineering optimization problems are not well understood. In this paper, we introduce an approach for characterizing highly nonlinear and Finite Element (FE) simulation-based engineering optimization problems, focusing on ten representative problem instances from automotive crashworthiness optimization. By computing characteristic Exploratory Landscape Analysis (ELA) features, we show that these ten crashworthiness problem instances exhibit landscape features different from classical optimization benchmark test suites, such as the widely-used Black-Box Optimization Benchmarking (BBOB) problem set. Using clustering approaches, we demonstrate that these ten problem instances are clearly distinct from the BBOB test functions. Further analysis of the crashworthiness problem instances reveal that, as far as ELA concerns, they are most similar to a class of artificially generated functions. We identify such artificially generated functions and propose to use them as scalable and fast-to-evaluate representatives of the real-world problems. Such artificially generated functions could be used for the automated design of an optimization algorithm for specific real-world problem classes.</p>
data set used for Application of Blockchain Technology Based on Artificial Intelligence Optimization in Communication Data Security Service
<p>This is the data set used to implement the project Application of Blockchain Technology Based on Artificial Intelligence Optimization in Communication Data Security Service</p>
The Application of Continuous Blood Glucose Monitoring in Optimizing the Management of Type 2 Diabetes
ClinicalTrials.gov study NCT07097415. IPD Sharing: NO. Countries: 1. Publications: 0.
Optimization of Mother-child Dyad Follow-up by a Multidomain Application: Real-world Cross Sectional Study
ClinicalTrials.gov study NCT05215028. IPD Sharing: NO. Countries: 1. Publications: 0.
Application of Intelligent Care Systems in Radiation Therapy: Enhancing Patient Safety and Reducing Anxiety Through System Optimization and Real-Time Blood Data Monitoring
ClinicalTrials.gov study NCT06833801. IPD Sharing: NO. Countries: 1. Publications: 0.
Optimizing Application And Support Of Immunization Information Systems (OASIS)
ClinicalTrials.gov study NCT02010372. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Optimal Application Dose of Superficial Hyperthermia
ClinicalTrials.gov study NCT00766233. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Deep Brain Stimulation for Laryngeal Dystonia: From Mechanism to Optimal Application
ClinicalTrials.gov study NCT05506085. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Optimizing Brachytherapy Application and Delivery With MRI Guidance for Gynecologic Cancer
ClinicalTrials.gov study NCT03277469. IPD Sharing: NO. Countries: 1. Publications: 0.
Optimal Timing of Parasternal Intercostal Nerve Block Application for Acute Pain Management in Cardiac Surgery
ClinicalTrials.gov study NCT05363540. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A general framework for optimization of probes for gene expression microarray and its application to the fungus Podospora anserina
GEO Series GSE20734. Podospora anserina. 27 samples. Type: Expression profiling by array; Genome variation profiling by array.
Data from: Optimized application of the secreted Nano-luciferase reporter system using an affinity purification strategy
Open the record for dataset details and reuse information.
Enhanced Media Optimize Bovine Myogenesis in 2D and 3D Models for Cultivated Meat Applications [in vivo scRNA-Seq]
GEO Series GSE290556. Bos taurus. 2 samples. Type: Expression profiling by high throughput sequencing.
Pomegranate Flower Extract—The Health-Promoting Properties Optimized by Application of the Box–Behnken Design
<p>Data includes source data and the publication to which it is related</p>
Two Consecutive Sunscreen Applications Optimize Sun Protection
ClinicalTrials.gov study NCT03033654. IPD Sharing: NO. Countries: 0. Publications: 0.
Personalized Optimization of Antibiotic Therapy in Pulmonary Sepsis Critically Ill Patients Through Application of Rapid Microbiological Diagnostic Technologies and Pharmacokinetic/Pharmacodynamic Mod
ClinicalTrials.gov study NCT06956053. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Application of Machine Learning Algorithms to Identify Optimal Candidates for Primary Tumor Resection in Patients with Metastatic Non-small Cell Neuroendocrine Tumors
ClinicalTrials.gov study NCT06621147. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Optimizing of Waiting - Time in the Anesthesia Admissions Ambulance of the Charité - University Medicine Berlin by Support of a Mobile Application - a Pilot Study
ClinicalTrials.gov study NCT02457767. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Applications for Methotrexate Optimization in Rheumatoid Arthritis
ClinicalTrials.gov study NCT01038349. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.