Lee reynolds jmu-reu-presentation-2010
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Lee Reynolds' presentation on Development of a data acquisition system for monitoring the biological stress response of rats in a thermal gradient
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Abstract
In this study, the results of studies on heat transfer and flow characteristics of ice slurry were experimentally investigated by using a horizontal, stainless steel tube, 0.8 m long and 10.2 mm internal diameter. The technical utilization of ice slurry –
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EBposter_HeatStress
Heat stress affects the kinetics of olfactory responses in rats. The study found that exposing rats to high temperatures of 45°C for 25 minutes significantly increased their body temperatures and caused faster rise and decay times of electrical responses in the olfactory epithelium to odorants. Heat stress also increased blood levels of lipopolysaccharides and free vesicles but did not change most cytokine levels, except for an increase in IL-10. This suggests heat stress causes strong, irreversible modulation of olfactory responses that is consistent with effects seen in other neurons and sensory systems.
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Mechanical Sciences and Engineering Department
Graduate School of Science and Engineering
Okawa Labortary
11M10510 KYAW MYO OO
Abstract
In this study, the results of studies on heat transfer and flow characteristics of ice slurry were experimentally investigated by using a horizontal, stainless steel tube, 0.8 m long and 10.2 mm internal diameter. The technical utilization of ice slurry –
a mixture of small (typically 0.5 to 1.7 mm in diameter) ice particles and a carrier fluid - a mixture of water and ethanol 5 wt.% – allows the phase change material, “ice”, to be pumped to the testing section. Most aqueous solutions used as single-phase secondary fluids can also be used as ice slurry. In this study, the ice slurry velocity of the experiments was varied from 0.5 to 4.7 m/s which encompassed the laminar and turbulent flow range. Two types of ice slurries containing different sizes of ice particles were generated by the scraped-surface type ice slurry generator.
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One of the characteristics of ice slurries is that the particles disappear in the melting process and it is not possible to use in constant flow. On the other hand, the heat transfer characteristics of ice slurry during production are important for the experiment. The effect of the time behavior of ice particle size on the heat transfer properties should be quantified.
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This document discusses using a data logger to investigate the relationship between temperature change and the rate of reaction when magnesium reacts with hydrochloric acid. It involves using a data logger connected to temperature probes to monitor the temperature in two test tubes, one containing just hydrochloric acid and the other containing hydrochloric acid and a piece of magnesium. The results show that adding the magnesium causes an increase in temperature due to the exothermic reaction. This supports the conclusion that the rate of reaction affects temperature.
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This document describes an experiment investigating the effect of temperature on the rate of reaction between magnesium and hydrochloric acid using a data logger. Students will use a data logger to monitor the temperature change in two test tubes, one containing hydrochloric acid as a control and one containing both hydrochloric acid and magnesium. They aim to determine if the exothermic reaction between the magnesium and acid affects the overall temperature. The experiment involves measuring temperature changes over time as magnesium is added to one test tube, with the goal of understanding how temperature influences reaction rate.
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This document provides guidance on how to carry out primary validation of climatic data. It discusses validating temperature, humidity, wind speed, atmospheric pressure, sunshine duration, and pan evaporation data. For each variable, it describes typical variations and measurement methods, potential errors, and approaches to error detection such as setting maximum/minimum limits. The goal of primary validation is to check for errors by comparing individual observations to physical limits and sequential observations for unacceptable changes.
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In DSC the heat flow is measured and plotted against temperature of furnace or time to get a thermo gram. This is the basis of Differential Scanning Calorimetry (DSC).
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Custom Lab Manual UMUC Physical Science NSCI 101103 .docx
Custom Lab Manual
UMUC Physical Science NSCI
101/103
© 2012, eScience Labs LLC
All rights reserved
www.eciencelabs.com ● 888‐375‐5487
3
Table of Contents
Custom Lab Manual for Physical Science NSCI 101/103
Lab 1: Introduc on to Science
Lab 2: Types of Forces
Lab 3: Newton’s Laws
Lab 4: Acids & Bases
Lab 5: Chemical Processes
Lab 6: Light
Lab 7: Radioac vity
4
Time and Addi onal Materials Required
Time and Addi onal Materials Required for Each Lab
Lab 1: Introduc on to Science
o Time Required: 60 minutes
o Addi onal Materials Needed: None
Lab 2: Types of Forces
o Time Required: 60 minutes
o Addi onal Materials Needed: None
Lab 3: Newton’s Laws
o Time Required: 60 minutes
o Addi onal Materials Needed: A deep dish, water, 2 chairs (for supports)
Lab 4: Acids and Bases
o Time: 60 min.
o Materials needed: Tomato juice, dis lled water, milk
Lab 5: Chemical Processes
o Time: 60 min.
o Materials needed: none
Lab 6: Light
o Time Required: 45‐60 minutes
o Addi onal Materials Needed: White paper
Lab 7: Radioac vity
o Time Required: 45‐60 minutes
o Addi onal Materials Needed: None
5
Lab Safety
Lab Safety
Always follow the instruc ons in your laboratory manual and these general rules:
Lab prepara on
Please thoroughly read the lab exercise before star ng!
If you have any doubt as to what you are supposed to be doing and how to do it safely,
please STOP and then:
Double‐check the manual instruc ons.
Check www.esciencelabs.com for updates and ps.
Contact us for technical support by phone at 1‐888‐ESL‐Kits (1‐888‐375‐5487) or by
email at [email protected]
Read and understand all labels on chemicals.
If you have any ques ons or concerns, refer to the Material Safely Data Sheets
(MSDS) available at www.esciencelabs.com. The MSDS lists the dangers, storage
requirements, exposure treatment and disposal instruc ons for each chemical.
Consult your physician if you are pregnant, allergic to chemicals, or have other medical
condi ons that may require addi onal protec ve measures.
Proper lab a re
Remove all loose clothing (jackets, sweatshirts, etc.) and always wear closed‐toe shoes.
Long hair should be pulled back and secured and all jewelry (rings, watches, necklaces,
earrings, bracelets, etc.), should be removed.
Safety glasses or goggles should be worn at all mes. In addi on, wearing so contact
lenses while conduc ng experiments is discouraged, as they can absorb poten ally
harmful chemicals.
eScience Labs, LLC designs every kit with safety as our top priority.
Nonetheless, these are science kits and contain items which must be
handled with care. Safety in the laboratory always comes first!
6
Lab Safety
When handling chemicals, always wear the protec ve goggles, gloves, and apron
provided.
Performing the .
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Professor Jacqueline Phillips discusses highlights from her recent publication, “Direct conscious telemetry recordings demonstrate increased renal sympathetic nerve activity (RSNA) in rats with chronic kidney disease”, specifically focusing on HOW scientists can successfully acquire continuous RSNA data and should approach data analysis.
Scientific method conc
The scientific method is a process for learning about the natural world through observation and experimentation. It involves stating a problem, conducting research to form a hypothesis, designing and carrying out an experiment to test the hypothesis, making observations during the experiment, and drawing conclusions based on the results. Some key steps include developing a hypothesis, designing an experiment with independent, dependent, and controlled variables, repeating experiments to verify results, and using a control group for comparison. The conclusion should relate the experimental results back to the original hypothesis and identify any flaws or areas for further investigation.
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Data from clinical assays (biomarkers, PK, PD, and immunogenicity) are often key outcomes from clinical trials. Implementing these endpoints in clinical trials is very costly and also time - and resource-consuming. Therefore, ensuring that appropriate measures are taken from the collection of samples until the completion of laboratory testing is paramount.
The purpose of this presentation is to discuss the challenges and potential pitfalls of sample collection, processing, and storage on the final bioanalytical endpoints and laboratory assays. Key parameters affecting various assay endpoints will be discussed and illustrated with specific examples, highlighting the SGS approach to handling and controlling these critical activities for the successful delivery of these studies outcomes.
Contact Us: clinicalresearch@sgs.com
Visit our Website: http://www.sgs.com/cro
Follow Us on LinkedIn: http://bit.ly/SGSLifeSciences
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Key Topics Include:
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This summary provides the key highlights from the US HUPO conference wrap-up document:
- There were presentations on advances in proteomics technologies like data-independent acquisition and SWATH, which provide improved protein identification comparable to traditional methods. Quality control and statistical analysis of proteomics data were also areas of focus.
- Speakers discussed using proteomics to study various disease mechanisms and biomarkers, as well as applications in global health like malaria and tuberculosis research.
- Presentations also provided insights into emerging areas like characterizing newly synthesized proteins, mapping protein interactions and structures, and developing statistical models tailored for mass spectrometry data analysis.
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This document describes an experiment investigating the effect of temperature on the rate of reaction between magnesium and hydrochloric acid using a data logger. Students will use a data logger to monitor the temperature change in two test tubes, one containing hydrochloric acid as a control and one containing both hydrochloric acid and magnesium. They aim to determine if the exothermic reaction between the magnesium and acid affects the overall temperature. The experiment involves measuring temperature changes over time as magnesium is added to one test tube, with the goal of understanding how temperature influences reaction rate.
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The document discusses a project to analyze and predict sepsis early using clinical data. It aims to predict sepsis 6 hours before clinical diagnosis to allow for earlier treatment. The author handles missing data and class imbalance in a large dataset. Features are engineered and selected. Decision trees and XGBoost models are used for prediction, achieving partial success. Further research is needed on time-series modeling, feature importance, and model performance with a domain expert.
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* Time-saving methodologies for increasing throughput in multiplexed or continuous metabolic phenotyping
* Evaluation criteria for selecting a metabolic measurement system
* How the home-cage advantage of a pull-mode system reliably increases animal safety while dramatically reducing stress on both the animal and the researcher
* How to improve the resolution, accuracy and versatility of metabolic data using water vapor measurement
* The importance of raw data retention in metabolic phenotyping
* How deep data field format leads to greater traceability, improved reliability and far greater data extraction versatility to address research objectives
* How exact metabolic costs can be assigned to transient activities, with important implications for studies of energy balance, obesity, drug kinetics and metabolic diseases
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This document provides guidance on how to carry out primary validation of climatic data. It discusses validating temperature, humidity, wind speed, atmospheric pressure, sunshine duration, and pan evaporation data. For each variable, it describes typical variations and measurement methods, potential errors, and approaches to error detection such as setting maximum/minimum limits. The goal of primary validation is to check for errors by comparing individual observations to physical limits and sequential observations for unacceptable changes.
Download-manuals-hydrometeorology-data processing-16howtocarryoutprimaryvali...
This document provides guidance on how to carry out primary validation of climatic data. It discusses validating temperature, humidity, wind speed, atmospheric pressure, sunshine duration, and pan evaporation data. For each variable, it describes typical variations and measurement methods, potential errors, and approaches to error detection such as setting maximum/minimum limits. The goal of primary validation is to check for errors by comparing individual observations to physical limits and sequential observations for unacceptable changes.
Thermal method of analysis.
The document discusses different thermal analysis techniques. It describes the principles, instrumentation, and applications of differential thermal analysis (DTA) and differential scanning calorimetry (DSC). DTA involves measuring the temperature difference between a sample and reference material as they are heated. DSC measures the heat flow into or out of a sample during heating or cooling. Both techniques can identify phase transitions, crystallization events, and chemical reactions in materials.
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In the haematology laboratory it is essential to ensure that the right test is carried out on the right specimen and that the correct results are delivered to the appropriate recipient without delay.
Quality control (QC) is defined as measures that must be included during each assay run to verify that the test is working properly.
Internal quality control (IQC) is monitoring the haematology test procedures to ensure continual evaluation of the reliability of the daily work of the laboratory with validation of tests before reports are released
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Differential scanning calorimetry [dsc]
In DSC the heat flow is measured and plotted against temperature of furnace or time to get a thermo gram. This is the basis of Differential Scanning Calorimetry (DSC).
The deviation observed above the base (zero) line is called exothermic transition and below is called endothermic transition.
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Abstract
We report a web-based tool for analysis of experiments using indirect calorimetry to measure physiological energy balance. CalR simplifies the process to import raw data files, generate plots, and determine the most appropriate statistical tests for interpretation. Analysis using the generalized linear model (which includes ANOVA and ANCOVA) allows for flexibility in interpreting diverse experimental designs, including those of obesity and thermogenesis. Users also may produce standardized output files for an experiment that can be shared and subsequently re-evaluated using CalR. This framework will provide the transparency necessary to enhance consistency, rigor, and reproducibility. The CalR analysis software will greatly increase the speed and efficiency with which metabolic experiments can be organized, analyzed per accepted norms, and reproduced and has become a standard tool for the field. CalR is accessible at https://CalRapp.org/
The top 4 key questions that our tool can answer:
1. Can I reproducibly and transparently analyze indirect calorimetry experiments in under 10 minutes?
2. How hard is it to use Analysis of Covariance (ANCOVA) to determine whether my groups of animals are significantly different?
3. Is there an automated, reproducible way to exclude “noisy” outlier data from our indirect calorimetry experiments?
4. What are the key factors in determining metabolic rate of mice?
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Custom Lab Manual UMUC Physical Science NSCI 101103 .docx
Custom Lab Manual
UMUC Physical Science NSCI
101/103
© 2012, eScience Labs LLC
All rights reserved
www.eciencelabs.com ● 888‐375‐5487
3
Table of Contents
Custom Lab Manual for Physical Science NSCI 101/103
Lab 1: Introduc on to Science
Lab 2: Types of Forces
Lab 3: Newton’s Laws
Lab 4: Acids & Bases
Lab 5: Chemical Processes
Lab 6: Light
Lab 7: Radioac vity
4
Time and Addi onal Materials Required
Time and Addi onal Materials Required for Each Lab
Lab 1: Introduc on to Science
o Time Required: 60 minutes
o Addi onal Materials Needed: None
Lab 2: Types of Forces
o Time Required: 60 minutes
o Addi onal Materials Needed: None
Lab 3: Newton’s Laws
o Time Required: 60 minutes
o Addi onal Materials Needed: A deep dish, water, 2 chairs (for supports)
Lab 4: Acids and Bases
o Time: 60 min.
o Materials needed: Tomato juice, dis lled water, milk
Lab 5: Chemical Processes
o Time: 60 min.
o Materials needed: none
Lab 6: Light
o Time Required: 45‐60 minutes
o Addi onal Materials Needed: White paper
Lab 7: Radioac vity
o Time Required: 45‐60 minutes
o Addi onal Materials Needed: None
5
Lab Safety
Lab Safety
Always follow the instruc ons in your laboratory manual and these general rules:
Lab prepara on
Please thoroughly read the lab exercise before star ng!
If you have any doubt as to what you are supposed to be doing and how to do it safely,
please STOP and then:
Double‐check the manual instruc ons.
Check www.esciencelabs.com for updates and ps.
Contact us for technical support by phone at 1‐888‐ESL‐Kits (1‐888‐375‐5487) or by
email at [email protected]
Read and understand all labels on chemicals.
If you have any ques ons or concerns, refer to the Material Safely Data Sheets
(MSDS) available at www.esciencelabs.com. The MSDS lists the dangers, storage
requirements, exposure treatment and disposal instruc ons for each chemical.
Consult your physician if you are pregnant, allergic to chemicals, or have other medical
condi ons that may require addi onal protec ve measures.
Proper lab a re
Remove all loose clothing (jackets, sweatshirts, etc.) and always wear closed‐toe shoes.
Long hair should be pulled back and secured and all jewelry (rings, watches, necklaces,
earrings, bracelets, etc.), should be removed.
Safety glasses or goggles should be worn at all mes. In addi on, wearing so contact
lenses while conduc ng experiments is discouraged, as they can absorb poten ally
harmful chemicals.
eScience Labs, LLC designs every kit with safety as our top priority.
Nonetheless, these are science kits and contain items which must be
handled with care. Safety in the laboratory always comes first!
6
Lab Safety
When handling chemicals, always wear the protec ve goggles, gloves, and apron
provided.
Performing the .
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This webinar offers insight into unique applications of Millar implantable telemetry, including the measurement of intra-cranial pressure (ICP), concurrent sympathetic nerve activity (SNA) and arterial pressure recordings, and tissue oxygen.
Experts share experimental methods and highlight distinctive capabilities of this technology that have helped each of them uncover scientific findings in the areas of renal sympathetic nerve activity (RSNA) and cerebral perfusion in rats, respectively.
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Professor Jacqueline Phillips discusses highlights from her recent publication, “Direct conscious telemetry recordings demonstrate increased renal sympathetic nerve activity (RSNA) in rats with chronic kidney disease”, specifically focusing on HOW scientists can successfully acquire continuous RSNA data and should approach data analysis.
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The scientific method is a process for learning about the natural world through observation and experimentation. It involves stating a problem, conducting research to form a hypothesis, designing and carrying out an experiment to test the hypothesis, making observations during the experiment, and drawing conclusions based on the results. Some key steps include developing a hypothesis, designing an experiment with independent, dependent, and controlled variables, repeating experiments to verify results, and using a control group for comparison. The conclusion should relate the experimental results back to the original hypothesis and identify any flaws or areas for further investigation.
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Data from clinical assays (biomarkers, PK, PD, and immunogenicity) are often key outcomes from clinical trials. Implementing these endpoints in clinical trials is very costly and also time - and resource-consuming. Therefore, ensuring that appropriate measures are taken from the collection of samples until the completion of laboratory testing is paramount.
The purpose of this presentation is to discuss the challenges and potential pitfalls of sample collection, processing, and storage on the final bioanalytical endpoints and laboratory assays. Key parameters affecting various assay endpoints will be discussed and illustrated with specific examples, highlighting the SGS approach to handling and controlling these critical activities for the successful delivery of these studies outcomes.
Contact Us: clinicalresearch@sgs.com
Visit our Website: http://www.sgs.com/cro
Follow Us on LinkedIn: http://bit.ly/SGSLifeSciences
caBIG: Ian Fore
The document discusses using experimental design factors from microarray experiments to analyze gene expression data. It provides several use cases for how experimental design data could be extracted, analyzed, indexed, and published. Key factors like drug, dose, time, and rat are identified from example experiment designs. Structured protocols are proposed to annotate variations from standard procedures.
Thermal analysis for preformulation trials new
This document discusses the use of thermal analysis techniques like differential thermal analysis (DTA), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA) in preformulation studies. These techniques are used to characterize properties of drug substances and excipients like polymorphism, degree of crystallinity, moisture content, and thermal stability. They provide important information on aspects like purity, solid-solid interactions, and decomposition behavior which helps optimize dosage form development. The principles and applications of DTA, DSC, and TGA are explained to analyze various thermal events in materials.
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During this 60 minute live webinar, Michiel Helmes and Diederik Kuster will deliver a comprehensive how-to demonstration of higher throughput excitation-contraction coupling investigations with isolated cardiomyocytes.
Characterizing excitation-contraction coupling in isolated cardiac myocytes has been essential to our understanding of heart function. Historically these studies have been constrained by lower throughput data collection and limited sample sizes. Because isolated myocytes display a high degree of functional variability, acquiring data from more myocytes is required for greater accuracy and statistical confidence.
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This summary provides the key highlights from the US HUPO conference wrap-up document:
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- Speakers discussed using proteomics to study various disease mechanisms and biomarkers, as well as applications in global health like malaria and tuberculosis research.
- Presentations also provided insights into emerging areas like characterizing newly synthesized proteins, mapping protein interactions and structures, and developing statistical models tailored for mass spectrometry data analysis.
Introduction lesson
The document provides an overview of several Earth science topics: astronomy, meteorology, geology, and oceanography. It then discusses the four main spheres that interact within the Earth system - the lithosphere, hydrosphere, atmosphere, and biosphere. The key interactions between these spheres are also outlined.
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- 1. Development of a data acquisition system for monitoring the biological stress response of rats in a thermal gradient Lee Reynolds Integrated Science and Technology Mentor: Dr. Keith Holland Dr. Justin Brown PhD
- 2. Research On the Rats Autonomic Nervous System to Hypoxic Stress Linked to SIDS (Sudden Infant Death Syndrome) They hypothesize that the RaPa, and likely the 5HT1A receptor, mediate the thermoregulatory responses to hypoxic stress which would be confirmed by an alteration of the normal hypothermic response to hypoxic stress Examples of Hypoxic Stress: less oxygen, more nitrogen
- 3. Actual Rat Thermoregulatory responses to hypoxic stress were measured in male Sprague-Dawley rats using radiotelemetry Rats were instrumented with microinjection cannulas targeting the RaPa which allowed pharmacologic alterations in neurotransmission Changes in core temperature (Tc) and selected ambient temperature (STa) during hypoxic stress were observed in rats
- 4. 18 Temperature Thermocouples 18 Photoreceptors Cold Water Bath & Oxygen and Nitrogen Tank
- 6. The Testing Time Scale: 30 minutes – 1 hour for acclimation 30 minute baseline test 15 minutes – 36+ hour stress response tests Selected Ambient Temperature: The temperature at the exact position of the rat during any given time
- 7. The OLD System Problems Included: -Limited Lifetime -Keyboard Failure -Not User Friendly -Sometimes would not boot up - Raw Data would have to be processed -Time consuming data manipulation Raw data must be processed No raw data manipulation If a position sensor was not blocked or if multiple were blocked, the data processing program would not work Required time consuming manual removal of these data samples
- 8. Thermocouples Problems With Old Thermocouples: - Poor Connection - Unorganized and messy - Sometimes would take a whole day to replace just one
- 9. New Gradient System More Efficient New “modular” data acquisition system – room for expansion and modification in the future Space saver Looks cooler
- 10. “Under the Hood”
- 12. LabVIEW No longer need to process the raw data – once the test is finished, the relevant data is already summarized at appropriate time intervals Automatically recognize if multiple photoreceptors are tripped and adjust readings accordingly (data analysis does not fail) Automatically recognize and alert user to thermocouple and/or photoreceptor failures/errors
- 14. New System Without need for post processing, data manipulation time is eliminated, allowing for tests to be run in closer succession. More “user friendly” identification of potential data errors. Addition of standard deviation and summary statistics for important parameters to improve result accuracy Can be run continuously, even when data is not being stored, to monitor conditions – no need to run and analyze additional baseline tests.
- 15. “Things are working unbelievably well so far. We have been collecting data and the lab students will start to analyze it shortly. I have looked at it and it seems to be organized perfectly. This system will be a much quicker, and more reliable, way to get our data. Plus, we can easily replace it if the computer system fails using the back up files we made” – Dr. Brown
- 16. Thank You Dr. Keith Holland Dr. Robert Prins Dr. Justin Brown Dr. Chris Hughes JMU REU Program DOD-ASSURE/NSF-REU grant # DMR-0851367