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120 results for “Development Processes”
The process of HDAC11 Assay Development: linearity and Km calculation
<p>With previously optimized conditions, the linearity range for HDAC11 was obtained and the Km for the substrate was calculated.</p> <p> </p> <p><strong>Note: </strong>1. In the assay buffer, BSA conc. is 0.5 mg/ml (instead of 0.5%).</p> <p> 2. In the 7.5 ul developer solution, 40 uM of TSA (Trichostatin A) is also included.</p>
The process of HDAC11 Assay Development: Buffer optimization again
<p>The pH range used earlier was expanded for further optimization to check if the activity could improve.</p> <p> </p> <p><strong>Note: </strong>1. In the assay buffer, BSA conc. is 0.5 mg/ml (instead of 0.5%).</p> <p> 2. In the 7.5 ul developer solution, 40 uM of TSA (Trichostatin A) is also included.</p>
The process of HDAC11 Assay Development: Effect of DMSO
<p>For the purpose of compound library screenings, the compounds would be made available in DMSO and thus, when they would be incubated with the protein, the protein solution will now contain DMSO as well. It is important to determine the concentration of DMSO that could be tolerated by the protein such that the protein stays active. Hence, the effect of varying concentration of DMSO was analyzed on HDAC11 activity.</p>
The process of HDAC11 Assay Development: Effect of Detergent
<p>The presence of detergent can prevent the sticking of the fluorophore to the sides of the wells of the plate and thus improve the signals. Hence, the effect of detergent was observed on the overall signals and the activity of HDAC11.</p>
The process of HDAC11 Assay Development: Check for linearity and Km-repeat
<p>The linearity for HDAC11 activity for Boc-Lys-(TFA)-AMC substrate was monitored using the newly optimized buffer conditions. This was followed upon by Km calculation.</p>
The process of HDAC11 Assay Development: time-course study follow-up-effect of additives
<p>Since the activity of HDAC11 has been observed to be quite low as per the previous data, a preliminary test was performed to check any drastic increase in the activity in the presence of an additive. </p> <p>version2 (v2) has updated reaction recipe.</p>
The process of HDAC11 Assay Development: time-course study follow-up
<p>The time of incubation and conc. of the developer to be used are important parameters during HDAC11 assay optimization and thus, have been considered here.</p> <p>Version2 (v2) has updated reaction recipe.</p>
The process of HDAC11 Assay Development: time-course study follow-up
<p>A follow-up to check the increased fluorescence signals at 0 min of the HDAC11 reaction with its substrate was performed. </p> <p>Version2 (v2) is updated with the reaction recipe.</p>
The process of HDAC11 Assay Development: time-course study
<p>Using Boc-Lys-(TFA)-AMC substrate, a preliminary time-course study was initiated to determine the appropriate HDAC11 concentration and the time to be used for the reaction (which are essential parameters to perform Km calculations later).</p> <p>The updated version2 (v2) has the corrected reaction recipe.</p>
The process of HDAC11 Assay Development: a kit-free method
<p>In order to develop an assay for HDAC11, a kit-free method is being attempted wherein Boc-Lys-(TFA)-AMC, a previously reported substrate was used to check the activity of HDAC11 in a preliminary experiment.</p> <p>In version2 (v2), the reaction recipe components are corrected (a missing component in previous version).</p>
The process of HDAC11 Assay Development: Z'-factor
<p>As a last step, to check if the assay qualifies for the screening purposes, Z’-factor was calculated here.</p>
Modeling Data vs Modeling Processes: How Digital Humanities developed in Russia
<p>2nd lecture</p>
DEVELOPMENT OF AN INNOVATIVE PROCESS INVOLVING THE USE IONIC LIQUIDS FOR THE RECOVERY AND PURIFICATION OF RARE EARTH FROM PERMANENT MAGNETS AND NiMH BATTERIES
<p>Experimental data</p>
REGAIN trial intervention development process evaluation data
<p><strong>Background</strong>: Up to half of people hospitalised with COVID-19 report diverse and persistent symptoms affecting quality of life for months and sometimes years after discharge (long-COVID). We describe the development of an online group exercise and behavioural support intervention for people who continue to experience such physical and/or emotional health problems more than three months after hospital discharge. <br><br><strong>Methods</strong>: Intervention development was informed by the Medical Research Council framework for complex interventions. Our multidisciplinary team of academics, clinicians, and people with long-COVID, had collective expertise in the development and testing of complex interventions. We integrated a bio-psycho-social model of care drawing on rehabilitation literature for long-term health conditions and experiences from our pre-pilot study. Multiple stakeholder meetings were held to refine the intervention which was designed to be deliverable within the UK National Health Service. We adhere to TIDieR guidance for transparent and explicit reporting of telehealth interventions. <br><br><strong>Results</strong>: The final REGAIN online exercise and behavioural support intervention consisted of an initial 1:1 consultation with a trained practitioner, followed by eight online group exercise, and six group support, sessions delivered over eight weeks. Participants could also access an online library of on-demand exercise and support videos.<br><br><strong>Conclusions</strong>: The final REGAIN intervention, combining exercise and behavioural support, is fully manualised with clear pathways to delivery and implementation. It is currently being tested in a randomised controlled trial. The intervention, developed with extensive patient and stakeholder engagement, could be incorporated into existing NHS rehabilitation programmes, should it prove to be clinically and cost-effective for people with long-COVID.</p> <p><strong>Trial registration</strong>: International Standard Randomised Controlled Trial Number (ISRCTN) 11466448: Rehabilitation exercise and psychological support after COVID-19 infection: REGAIN.</p>
Data from: Comparative LCA studies of simulated HMF-biorefineries from maize and miscanthus as an example of first- and second-generation biomass as a tool for process development
<p class="MsoNormal"><span>5-Hydroxymethylfurfural (HMF) is a versatile platform chemical for a fossil free, bio-based chemical industry. HMF can be produced by using fructose as a feedstock. Using edible, first-generation biomass to produce chemicals has been questioned in terms of potential competition with food supply. Second-generation biomass like miscanthus could be an alternative. However, there is a lack of information if second-generation lignocellulosic biomass is a more sustainable feedstock to produce HMF. Therefore, a life cycle assessment was performed in this study to determine the environmental impacts of HMF production from miscanthus and to compare it with HMF from high fructose corn syrup (HFCS). HFCS from either Hungary or Baden-Württemberg (Germany) was considered. Compared to the HFCS biorefineries the miscanthus concept is producing less emissions in all impact categories studied, except land occupation. Overall, the production and usage of second-generation biomass could be especially beneficial in areas where the use of N-fertilizers is restricted. Besides, conclusions for the further development of the on-farm-biorefinery concept were elaborated. For this purpose, process simulations from a previous study were used. Results of the previous study in terms of TEA and the current LCA study in terms of environmental sustainability indicate that the lignin depolymerization unit in the miscanthus biorefinery has to be improved. The scenario without lignin depolymerization performs better in all impact categories. The authors recommend to not further convert the lignin to products like phenol and other aromatic compounds. The results of the contribution analyses show that the major impact in the HMF production is caused by the auxiliary materials in the separation units and the required heat. Further technical development should focus on efficient heat as well as solvent use and solvent recovery. At this point further optimizations will lead to reduced emissions and costs at the same time. The presented data set is the used inventory to model the environmental impacts. </span></p>
Dataset: Evolution Of Computational Ontologies: Assessing Development Processes Using Metrics
<p>Ontologies facilitate meaning between human and computational actors. On the one hand, the underlying technology can be considered mature. It has a standardized language, established tools for editing and sharing, and broad adoption in practice and research. On the other hand, we still know little about how these artifacts evolve over their lifetime, even though knowledge of the development process could influence quality control. It would enable us to give knowledge engineers better modeling or selection guidelines.</p> <p>This paper examines the evolution of computational ontologies using ontology metrics. First, we gathered hypotheses on the ontology development process. We assume that groups of ontologies follow a similar development pattern and that a stereotypical development process exists. Afterward, these hypotheses are tested against historical metric data from 7053 versions from 69 dormant ontologies.</p> <p>We will show that ontology development processes are highly heterogeneous. While the made hypotheses are partly true for a slight majority of ontologies, concluding the bigger picture of ontology development down to the individual ontologies is mostly not possible. Further, the data revealed that most ontologies have disruptive change events for most of the measures attributes. These disruptive events are further examined regarding their occurrences, combinations, and sizes.</p>
Development of an Osteoarthritis (OA) Care Plan to Improve Process and Quality of OA Treatment Decisions
ClinicalTrials.gov study NCT03102580. IPD Sharing: NO. Countries: 1. Publications: 10.
Mature mRNA processing that deletes 3′ end sequences directs translational activation and embryonic development
Open the record for dataset details and reuse information.
Data from: Comparative LCA studies of simulated HMF-biorefineries from maize and miscanthus as an example of first- and second-generation biomass as a tool for process development
Open the record for dataset details and reuse information.
REGAIN trial intervention development process evaluation data
Open the record for dataset details and reuse information.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.