This document describes an experiment that measured and compared the vital lung capacity of individuals with asthma and without asthma. Participants used a spirometer to measure their lung capacity over 3 trials, and the maximum values were averaged for each group. The results showed the average vital capacity was lower for individuals with asthma (2.76 L) compared to individuals without asthma (3.28 L). An unpaired t-test determined this difference was statistically significant, supporting the hypothesis that asthma affects vital lung capacity.
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CMSC 56 | Lecture 16: Equivalence of Relations & Partial Orderingallyn joy calcaben
Equivalence of Relations & Partial Ordering
CMSC 56 | Discrete Mathematical Structure for Computer Science
November 21, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
One of the basic concepts of calculus that are studied in the course “Numerical methods of economics.” More detailed information here https://ek.biem.sumdu.edu.ua/
CMSC 56 | Lecture 16: Equivalence of Relations & Partial Orderingallyn joy calcaben
Equivalence of Relations & Partial Ordering
CMSC 56 | Discrete Mathematical Structure for Computer Science
November 21, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
One of the basic concepts of calculus that are studied in the course “Numerical methods of economics.” More detailed information here https://ek.biem.sumdu.edu.ua/
ANALYSIS THE DEFICIT OF DISSOLVED OXYGEN IN AL_HILLA RIVER ACCORDING TO WASTE...IAEME Publication
The dissolved oxygen levels and quality of water play an important role in supporting aquatic life. In this paper we collected number of samples from AL_Hilla River near AL-Hilla city center about 40 km from the beginning of the river to investigate the deficit of the DO concentration in the river and the pollution level in it.
Exercise 1 Measurements and the MicroscopesBreak-out Group NuBetseyCalderon89
Exercise 1: Measurements and the Microscopes
Break-out Group Number:
Section:
Student Names (First and Last)
Student Panther ID #s
Johana Rodriguez
6173932
Jason Charles
6123334
jiuyi huang
6126684
iffat mahmood
3994473
_____________________________________________________________________________
OBJECTIVES:
1. Understand measurements and conversions of the metric system.
2. Learn how to properly use both compound and dissecting microscopes.
_____________________________________________________________________________
INTRODUCTION:
Numbers and measurements impact every part of our lives, and are tools that scientists, engineers, astronauts, chefs and doctors use to analyze data, build bridges, fly orbiters into space, adjust recipes, and prescribe medication. Collecting and analyzing data allows us to understand patterns in the natural world that are not easily observed with the naked eye, and the natural variation that is inherent to all organisms is the major reason we need measurements. In today’s lab you will learn about basic measurements and common instruments used by scientists on a daily basis. Your ability to learn and use these concepts will be tested and reinforced throughout the semester.
____________________________________________________________________________
Task 1 - MEASUREMENTS IN SCIENCE: Familiarize yourself with the metric system.
Recall from last week that a key component of the scientific method is experimentation. This step is necessary for the collection of data that will either lend support to, or lead to the rejection of, the hypothesis being tested. In general, data can be qualitative or quantitative. Qualitative data describe variables based on quality (e.g. smell, appearance, texture, etc) and are usually gathered through interviews, pictures, field notes and/or surveys. Quantitative data define the quantity of a variable through measurements (e.g. length, area, cost, height, age, etc.). The main disadvantage of qualitative data is that they are often too subjective (what smells good to one individual might not smell equally well to another). Therefore, quantitative data, which can be statistically manipulated and analyzed, are the preferred choice of most scientists because they provide objective, less biased measures. However, we will examine both types of data in greater detail throughout the semester.
The metric system is used as the international standard to make measurements worldwide. It is based on units of ten (see Table 1 and 2). In contrast, the Imperial Units of Measurement is based on historical precedent, e.g., a foot was first measured as the length of a man’s foot. Because the metric system is widely employed throughout the scientific arena, it will be covered in this lab.
Table 1:
Prefix
Abbreviation
Division or Multiple of Metric Unit
Pico
p
0.000000000001
Nano
n
0.000000001
Micro
µ
0.000001
Milli
m
0.001
Centi
c
0.01
Deci
d
0.1
Base unit
-----
1
Deka
da
10
Hector
h
100
Kilo
k ...
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parameters.
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i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
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Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
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Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
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O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
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www.agostodourado.com
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1. IB Biology HL
Independent Research Project – Vital Lung Capacity
Introduction
Breathing is an essential element for all corporeal organisms. In humans, and
most mammals, it is done involuntary. This means that the brain maintains a
constant automatic breathing pattern; in other words, we do not have to remember
to breath. The four main elements that primarily consist of an inhalation areOxygen,
Hydrogen, Nitrogen and Carbon. These gases pass through our ventilation system,
supplying our blood with the required oxygen to further deliver the oxygenated
blood to the rest of the body. Oxygen is inhaled in our body through the mouth
and/or the nostrils, and then passes through the trachea followed by the lungs and
the diaphragm. When we breathe in these gases, our lungs expand. Much like
balloons, lungs can only expand up to a certain volume. As for the lungs, this limit is
referred to as the maximum amount of air that the lungs are able to contain, or the
vital capacity. In this lab experiment, the following condition will be investigated.
This study is focused on the differences in the vital capacity between subjects that
have asthma and those that do not. Individuals with asthma have trouble breathing
due to blockage of the airways.
A spirometer was used in order to measure and determine the vital capacity of each
of the two participant groups: individuals with asthma and individuals without
asthma. Respectively, the mean vital capacity values of both these groups were
calculated and compared and contrasted with each other.
Based on medicinal investigation, it is hypothesized that there will be a minor
difference between the average lung capacity of individuals with asthma and
individuals without asthma. Confounding variables in this experiment such as the
age of the subjects, the equipment used and the environmental factors in the testing
situation are closely inspected to avoid any invalid results.
2. Design
Research Question:
Does having asthma affect the vital lung capacity of an individual?
Variables:
The independent variable was the individuals with asthma (or the asthma
affliction itself). The dependent variable was vital lung capacity of each individual. It
was measured through the use of a spirometer. The controlled variables in this
experiment are as follows. The age of each participant was systematically checked in
order to avoid the different stages that the asthma might be in within each
individual. Also, the same spirometer for each participant, with a clean mouth piece
as well. The gender of each participant was correspondingly checked to create equal
experimental groups for it is well known that males have sturdier reparatory skills
than that of compared to females. Lastly it was important to make sure that no
participant had any affliction of any kind that would have the capability to alter to
final results such as a cold or a cough.
Materials and Procedure:
Material List:
Clear Spirometer (1)
Respective amounts of mouth pieces
Appropriate calculating tools
Individuals afflicted with asthma
Individuals asthma free
Procedure:
Pre-procedural notes:
If you have any affliction such a cold or a cough, do not do this experiment. Certain
factors such as prior vigorous physical activity with the hour of doing to experiment
could alter the data. It is very important that the participant remains standing
throughout the entire procedure in order to obtain the most accurate data recording
possible. As for the technique on using the spirometer, the participant must exhale
as hard and as fast as possible whilst making sure that all the air goes through the
spirometer.
3. Procedure:
Procedurally, the experiment partakers must follow a few guidelines in order to be able to
effectively collect data, individually, for the experiment. To begin with, participants must
indicate if they are afflicted with Asthma.It is then very important that the spirometer is
clean; this can be done by unscrewing the spirometer and wiping the inside compartment of
the instrument with a paper towel. Then, once the spirometer is clean, attach a supplied
mouthpiece onto the blowing tube of the spirometer to avoid any contagious afflictions
from one participant to another. Next comes the actual measuring of data. First, make sure
that the indicator located at the top of the spirometer is clearly set to 0ml. Then, if required,
take a few deep breaths in preparation to blow. Then, once ready, take as deep of a breath
as possible and then exhale all of the inhaled air out of the lungs as fast as possible, through
the mouth piece while making sure that no air escapes. After completing the recorded
breath, read the dial of the spirometer and write down the data (in units of ml). Repeat
these steps for a total of 3 to 4 trials.
Data Collection and Processing
Table 1: A representation of the results of the vital capacity amongst participants not
afflicted with asthma.
Participant number with Trial Vital Capacity in Maximum VC Trial in
Asthma Liters(±0.1 liters) Milliliters
(±0.1 liters)
1 2.5
1 2 2.9 2.9
3 2.8
1 3.0
2 2 3.5 3.5
3 3.4
1 3.3
3 2 3.0 3.3
3 3.3
1 3.2
4 2 3.2 3.4
3 3.4
1 3.2
5 2 3.2 3.3
3 3.3
Total Average: 3.28
Table 2: Each participant was asked to give 3 trails; hence on this table all three are
shown. The maximum trial was used to calculate the total average of non-asthmatic
contributors. Like numerous measurement devises, the uncertainty is the smallest
division possible, (instrumental uncertainty) which is 0.1.
4. Table 2: A representation of the results of the vital capacity amongst participants afflicted
with asthma.
Participant number with Trial Vital Capacity in Maximum VC Trial in
Asthma Milliliters (±0.1 Milliliters
liters) (±0.1 liters)
1 2.1
1 2 2.1 2.3
3 2.3
1 1.9
2 2 2.3 2.3
3 2.1
1 3.0
3 2 2.9 3.0
3 3.0
1 2.8
4 2 2.9 2.9
3 1.9
1 3.2
5 2 3.3 3.3
3 3.3
Total Average: 2.76 ml
Table 2: Each participant was asked to give 3 trails; hence on this table all three are
shown. The maximum trial was used to calculate the total average of asthmatic
afflicted contributors. Like numerous measurement devises, the uncertainty is the
smallest division possible (instrumental uncertainty), which is 0.1.
Sample Calculation
The mean of participants who had asthma:
Mean = (2.3+2.3+3.0+2.9+3.3) / 5
Mean = (13.8) / 5
Mean = 2.76
The mean of participants who didn’t have asthma:
Mean = (2.9+3.5+3.3+3.4+3.3) / 5
Mean = (16.4) / 5
Mean = 2.76
5. Data Presentation
Figure 3: The comparison between the average vital capacity of asthmatic and non
asthmatic participants.
Average Vital Capacity of Asthmatic vs.
Non Asthmatic Participants
3.5
3.4
Vital Capacity
3.3
3.2
3.1
3
in Litres
2.9
2.8
2.7
2.6
2.5
2.4
2.3
2.2
2.1
2
Figure 3:
The data shows the relationship between non asthmatic and asthmatic afflicted
participants. There is not much of a difference, but it is still clear that the non
asthmatic participants do in fact have a higher mean.
Unpaired t test results
The following is an unpaired t-test calculated using graphpad.com and its Quick
Calcs function.
P value and statistical significance:
The two-tailed P value equals 0.0485
By conventional criteria, this difference is considered to be statistically significant.
Confidence interval:
The mean of Asthmatic Participants minus Non-Asthmatic Participants equals -0.520
95% confidence interval of this difference: From -1.036 to -0.004
Intermediate values used in calculations:
t = 2.3255
df = 8
standard error of difference = 0.224
6. Figure 4:
A screen shot of the website
and the data used to calculate
a t-test.
Data:
Group Asthmatic Participants Non-Asthmatic Participants
Mean 2.760 3.280
SD 0.445 0.228
SEM 0.199 0.102
N 5 5
The degree of freedom of 8 and the P-value of 0.485 conclude that the null
hypothesis can be accepted. The difference between the experimental groups is
considered to be statistically significant.
7. Conclusion and Evaluation
Conclusion:
While following proper procedure, five participants were chosen to be part of
the data after having their vital capacity measured through a spirometer. Each
individual had to record three trials of their vital capacity and their highest recorded
data was used to calculate the mean of the experimental group, whether it was the
asthmatic participants or the non asthmatic participants. While taking the
instrumental uncertainty into account (which was ± 0.01) the average of the non
asthmatic participant group turned out to be 3.28 liters. The average of the
asthmatic afflicted participants was 2.76 liters. It was concluded, through the use of
an unpaired t-test, that the data was statistically significant.
After the analyzing the data in this experimental research, it can be
concluded that there is merely a slight difference in the liters of vital capacity
exhaled by participants whom suffer from asthma and those whom do not.
Specifically, there is only a difference of 0.52 liters. This isn’t a big difference in but
nonetheless it does support the original experimenter’s hypothesis. Of course the
reason why there is in fact this difference between the two groups can be reasoned
from modern studies and research done for the cause of asthmatic symptoms.
Asthma distresses the airways in the throat causing decreased stamina as well as
hardiness of breath. Each individual afflicted with asthma has different variations in
the severity of the swelling in the airways; some individuals might have only minor
symptoms and other might have much more major symptoms. When the actual
airways are swollen, air must travel through the esophagus in a much smaller and
tighter manner hence, depending on the state of severity of asthma, the vital
capacity can limited to those whom are afflicted with asthma.
In order to make the experiment as sound and efficient as possible, a few
steps and precautions were set up in order to create a errorless method. Firstly, a
modern type of spirometer was used to ensure validity in the data as well as the
results. It was very important that no external factors were to negatively affect the
data collection process for anyone. Such external factors included the regular
cleaning of the inner workings of the spirometer itself as well as the constant use of
mouth pieces to insure all the air to pass through the spirometer without escaping.
Another factor that was called for was the variation of females to males, age and
nationality. It is not clear if all these factors would in fact affect the data in any way,
nonetheless caution was necessary. The amount of females and males in this
experiment specifically controlled for it is known that males have higher vital
capacities that females do, and a majority of either gender would affect the results.
Lastly and most importantly, it was extremely imperative to make sure that no
participant was enduring any asthmatic attack during their data recording.
8. There are always was in which experiments can be expanded in answering
more broad and useful research question. Ascertaining in this very lab research, the
experimenter could of have been able to include other forms of measurements such
as the vital capacity of specifically females with asthma or only males with asthma.
Also something as simple as the adding of more trials to the experiment for the
participant could broaden and better the results when comparing individuals with
and without asthma. Another conceivable approach would be to considerably
change the variables of the experiment. Such a change could be the comparison of
the vital capacity of individuals with different ages, or even individuals with an
athletic sensibility compared to those that are not.
Affiliated with this experiment is the assertion that researchers do not need to focus
only on vital capacity with asthmatic patients but other factors as well when
attempting to discover a cure. The more knowledgeable we are about such diseases,
the more successful we will be in finding a cure.
9. Evaluation
In many experiments limiting factors and confounding variables make
themselves present. In this experiment, such factors and limitations are as follows.
As stated earlier, asthma has been classified into different stages of severity; minor,
moderate and severe. In this unambiguous experiment, there were no real
instruments that were able to measure these different stages of asthma; hence this
data was not used in the end result. This could of have lead to unconstructive
changes in the current data processing result. The reason why it is important to
include such information into this lab experiment is because, depending on the state
of the asthmatic symptoms that a patient has, not all of the inhaled air would of
have been able to fully pass through the spirometer because of swollen (blocked)
airways which could lead to changing the end result. Another solution so such
limitations would be to include an aerobic aspect into the procedure, which would
be able to somewhat identify the level of severity of an individual’s asthmatic
symptoms.
Another limitation that could of have affected this lab experiment was the
time of day in which each of the trials were recorded. Depending on the time of day,
individuals might of have had different levels of energy and some might even of have
had done physical exercise prior to the experiment. This could of have affected the
result because of the correlation between psychical activity and the vital capacity
measurements. Vital capacity is increased and strengthened after physical activity
and the rate of breathing also is increased depending on the different energy
outputs. This issue could be easily solved in only allowing participants to record their
measurements on a certain time of day, making it a controlled variable.
Lastly, height is a factory that affects the vital capacity of the lungs. Height and vital
capacity share a positive correlation, meaning that the taller and individual is, the
higher the vital capacity will be. One way to fix this problem would be to spend more
time in choosing the participants, having them measured in height before getting
their vital capacity measured.