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123 results for “thermal modelling”
Modeling the nutritional value of thermally processed food products based on CFD simulations - Results of the Miniatura 6 NCN grant
<p>1. Description of the purpose of the scientific activity: The aim of the scientific activity was to optimize the heat treatment process of food products using Computational Fluid Dynamics (CFD) simulations and to assess the impact of this process on the nutritional value of the finished product. The following beef meat was selected for the study: strip beef, shin, entrecote, neck, leg, topside, topside, shoulder and brisket. The obtained results on the selection of heat treatment parameters, i.e. temperature, time, forced convection, allowed for the creation of a knowledge base on the basis of which a multi-factor optimization was carried out between the basic composition (the amount of: protein, fat, water, connective tissue and ash) and the content of conjugated linoleic acid (CLA) and vitamin E in beef. The aim and scope of the research has been achieved.</p> <p>2. Description of the implementation of the scientific activity: Experimental research was carried out at the Department of Food Technology and Design at the Warsaw University of Life Sciences. The raw material for the tests, i.e. beef meat from elements of different basic composition (protein, fat, connective tissue, ash, water): strip beef, rind entrecote, neck, leg, topside, topside, shoulder, brisket was purchased in three batches . The scope of the scientific activity included three stages:</p> <ul> <li>CFD simulation - computer simulation of heat treatment of beef characterized by a diverse basic composition and determination of the reduction of CLA and vitamin E content in various conditions of the thermal process - building a knowledge base,</li> <li>RSM optimization - using the CFD database of changes in the content of CLA and vitamin E, depending on the parameters of the thermal process, for optimization using the response surface method (RSM) - it allowed the selection of the best thermal treatment parameters ensuring the smallest losses of the above-mentioned bioactive ingredients,</li> <li>verification - laboratory tests were carried out using chromatographic techniques of vitamin E (HPLC - high-performance liquid chromatography) and CLA (GC - gas chromatography) content to confirm the predicted RSM results based on CFD simulation. Information on the mechanism of shaping the content of CLA and vitamin E in heat-treated beef allowed for the creation of a database that makes it possible to determine the optimal conditions for heat treatment of food products. The research was experimental, and the obtained results provided information on the mechanism of thermal decomposition depending on the parameters of the heat treatment process and the basic composition of food products. The scientific activity was used to develop a mechanism describing the relationship between the basic composition, method and parameters of heat treatment and the thermal stability of CLA and vitamin E in beef.</li> </ul> <p>3. Description of the effects of the implementation of the scientific activity:</p> <p>The study showed a significant effect of the basic composition of beef on changes in the content of vitamin E and CLA during heat treatment. The use of an innovative method of modeling and simulation of thermal processes with the use of CFD allowed for a precise analysis of changes in the content of the above-mentioned substances. components in meat samples of different basic composition. The analyzes carried out showed that the content of: protein, fat, tk. total, ash, water in individual elements of the beef carcass, i.e. strip beef, rib eye shank, neck, round, topside, topside, shoulder, brisket affects the temperature distribution in the entire volume of the raw material, which results in partial decomposition of vitamin E and CLA. Based on the developed experimental model, optimization was performed using the response surface method (RSM), thanks to which the best parameters of the heat treatment process using a convection steam oven were obtained. The optimization was carried out individually for each element differing in basic composition, and among the optimized process parameters were: processing temperature [℃], humidity inside the furnace chamber [%], process time [s] and fan speed ensuring forced convection of air and steam [RPM ]. The last, third stage of the research task was the verification of the optimization model with the results of laboratory analyses. The tests carried out using gas chromatography (GC) and high-performance liquid chromatography (HPLC) allowed to obtain the results of vitamin E and CLA content at a level consistent with those predicted on the basis of RSM models.</p>
Personal thermal comfort models with wearable sensors
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Personal thermal comfort models with wearable sensors
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Spectrum data and thermal model data of comet/103P (v1.0)
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MATLAB code related to the thermal model of hyperthermia treatment
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Data from: Modeling the effect of environmental temperatures, microhabitat, and behavioral thermoregulation on predicted activity patterns in a desert lizard across its thermally diverse distribution
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Integration of Thermal Proteome Profiling with phosphoproteomic and transcriptomic data via mechanistic network models decodes the molecular response to PARP inhibition
GEO Series GSE243208. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Thermal Model for Hyperthermia Treatment of Brain Tumour
<p>Code associated to the research article "The interplay of blood flow and temperature in regional hyperthermia: A mathematical approach" co-authored by Jesús J. Bosque, Gabriel F. Calvo, Víctor M. Pérez-García and María Cruz Navarro, to be published in Royal Society Open Science in 2020. In that article we developed a simple mathematical model for hyperthermia treatment of brain tumours and analyse the results. We add here the code that we wrote and used to solve the equations and draw the conclusions.</p>
Data from: Beyond thermal performance curves: modeling time-dependent effects of thermal stress on ectotherm growth rates
Thermal performance curves have been widely used to model the ecological responses of ectotherms to variable thermal environments and climate change. Such models ignore the effects of time dependence—the temporal pattern and duration of temperature exposure—on performance. We developed and solved a simple mathematical model for growth rate of ectotherms, combining thermal performance curves for ingestion rate with the temporal dynamics of gene expression and protein production in response to high temperatures to predict temporal patterns of growth rate in constant and diurnally fluctuating temperatures. We used the model to explore the effects of heat shock proteins on larval growth rates of Manduca sexta. The model correctly captures two empirical patterns for larval growth rate: first, maximal growth rate and optimal temperature decline with increasing duration of temperature exposure; second, mean growth rates decline with time in diurnally fluctuating temperatures at higher mean temperatures. These qualitative results apply broadly to cases where proteins or other molecules produced in response to high temperatures reduce growth rates. We discuss some of the critical assumptions and predictions of the model and suggest potential extensions and alternatives. Incorporating time-dependent effects will be essential for making more realistic predictions about the physiological and ecological consequences of temperature fluctuations and climate change.
urbisphere_gb-london_UR-4: Derivation of building thermal and radiative parameters for building energy modelling
<h2>Files in this archive </h2> <ul> <li>GB_layer_info.zip <ul> <li>Output and specifications from uBEMM_v1_27-3-2024.xlsx for further processing (*.csv)</li> </ul> </li> <li>GB_layer_processed.zip <ul> <li>Processed layer-specific thermal and radiative material parameters for UK building typologies (external wall, roofs, ground floors; *.csv)</li> </ul> </li> <li>GB_effective_parameters.zip <ul> <li>Processed effective thermal and radiative parameters of external walls, roofs, ground floors, windows, internal walls and internal floors for UK building typologies (*.csv)</li> </ul> </li> <li>uBEMM_v1_27-3-2024.xlsx <ul> <li>Tool to characterise building structure layers based on bulk thermal parameters</li> </ul> </li> <li>code.zip <ul> <li>Code for processing of building materials (Python3)</li> </ul> </li> <li>urbisphere_gb-london_UR-4.pdf <ul> <li>Documentation</li> </ul> </li> </ul> <h2>Data purpose </h2> <p>The data support APEx, <em>urbisphere</em>-London and ASSURE modelling activities of building energy exchanges in London. </p> <h3>Linked with</h3> <ul> <li>Hertwig et al. 2024. urbisphere_presentations_UR-1: Modelling anthropogenic heat emissions from residential buildings-comparison between Berlin and London. EMS Annual Meeting 2023 [Poster]. Zenodo. https://doi.org/10.5281/zenodo.10889863</li> </ul>
SCB model data for article 'The effects of localized thermal pressure on equilibrium magnetic fields and particle drifts in the inner magnetosphere'
<p>The SCB model simulation data for the article 'The effects of localized thermal pressure on equilibrium magnetic fields and particle drifts in the inner magnetosphere'.</p> <p>The 'Rxx_A xx_Sxx_Lxxparameters' files are the data files, where Rxx is the beta_0 value, Axx is the A_e value, Sxx is the sigma_0 value and Lxx is the L_0 value (see the article for the definition of the values)</p> <p>The 'SCB_variables.xlsx' is a table to describe the variables in the data file.</p> <p>The 'read_scb.pro' is an IDL program to read the data files.</p>
Tetrahedral Cu(I) Complexes for Thermally Activated Delayed Fluorescence: A Density Functional Benchmark Study with QM/MM Models
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Data from: Beyond thermal performance curves: modeling time-dependent effects of thermal stress on ectotherm growth rates
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Thermal Model for Hyperthermia Treatment of Brain Tumour
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Data from: Phenomenological vs. biophysical models of thermal stress in aquatic eggs
[No abstract entered]
An Exploratory Study to Assess the Effects of JNJ-39439335 on the Relief of Pain Using a Thermal-Grill Experimental Model
ClinicalTrials.gov study NCT01006304. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Data from: Phenomenological vs. biophysical models of thermal stress in aquatic eggs
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Prognostics Of Power Mosfets Under Thermal Stress Accelerated Aging Using Data-Driven And Model-Based Methodologies
An approach for predicting remaining useful life of power MOSFETs (metal oxide field effect transistor) devices has been developed. Power MOSFETs are semiconductor switching devices that are instrumental in electronics equipment such as those used in operation and control of modern aircraft and spacecraft. The MOSFETs examined here were aged under thermal overstress in a controlled experiment and continuous performance degradation data were collected from the accelerated aging experiment. Die-attach degradation was determined to be the primary failure mode. The collected run-to-failure data were analyzed and it was revealed that ON-state resistance increased as die-attach degraded under high thermal stresses. Results from finite element simulation analysis support the observations from the experimental data. Data-driven and model based prognostics algorithms were investigated where ON-state resistance was used as the primary precursor of failure feature. A Gaussian process regression algorithm was explored as an example for a data-driven technique and an extended Kalman filter and a particle filter were used as examples for model-based techniques. Both methods were able to provide valid results. Prognostic performance metrics were employed to evaluate and compare the algorithms.
Physics Based Electrolytic Capacitor Degradation Models for Prognostic Studies under Thermal Overstress
Electrolytic capacitors are used in several applications rang- ing from power supplies on safety critical avionics equipment to power drivers for electro-mechanical actuators. This makes them good candidates for prognostics and health management research. Prognostics provides a way to assess remaining use- ful life of components or systems based on their current state of health and their anticipated future use and operational con- ditions. Past experiences show that capacitors tend to degrade and fail faster under high electrical and thermal stress condi- tions that they are often subjected to during operations. In this work, we study the effects of accelerated aging due to thermal stress on different sets of capacitors under different conditions. Our focus is on deriving first principles degra- dation models for thermal stress conditions. Data collected from simultaneous experiments are used to validate the de- sired models. Our overall goal is to derive accurate models of capacitor degradation, and use them to predict performance changes in DC-DC converters.
Prognostics of Power MOSFETs under Thermal Stress Accelerated Aging using Data-Driven and Model-Based Methodologies
An approach for predicting remaining useful life of power MOSFETs (metal oxide field effect transistor) devices has been developed. Power MOSFETs are semiconductor switching devices that are instrumental in electronics equipment such as those used in operation and control of modern aircraft and spacecraft. The MOSFETs examined here were aged under thermal overstress in a controlled experiment and continuous performance degradation data were collected from the accelerated aging experiment. Die- attach degradation was determined to be the primary failure mode. The collected run-to-failure data were analyzed and it was revealed that ON-state resistance increased as die-attach degraded under high thermal stresses. Results from finite element simulation analysis support the observations from the experimental data. Data-driven and model based prognostics algorithms were investigated where ON-state resistance was used as the primary precursor of failure feature. A Gaussian process regression algorithm was explored as an example for a data-driven technique and an extended Kalman filter and a particle filter were used as examples for model-based techniques. Both methods were able to provide valid results. Prognostic performance metrics were employed to evaluate and compare the algorithms.
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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.