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Kemi Adeleke - RMSST...and Noncancerous Skin Cells Kemi Adeleke - RMSST Abstract: This project will...

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The Effect of Selenium Concentrations on the Growth of Cancerous and Noncancerous Skin Cells Kemi Adeleke - RMSST Abstract: This project will test selenium on the growth of cancerous and noncancerous cells. Purpose & Rationale: The purpose of this research project is to test selenium on cancerous and noncancerous cells to determine if it causes cell death. Those who consume selenium need to know the health effects it can cause. Background Information: Selenium has been known to reduce the chances of developing cancer. Humans should consume about 55 mcg per day. But too much selenium can cause selenosis poisoning. Methodology: There will be a low, medium, and high concentration of selenium tested on both cancerous and noncancerous cells. The control will have sterile PBS only. This will help show which concentration is recommended. Only live cells will be counted to show the effect the treatment had. Data Interpretation: Descriptive: mean, mode, range, and standard deviation Inferential: ANOVA test and chi-square Experimental Design Diagram Hypothesis: If selenium concentrations are tested on cancerous and noncancerous cells, the growth of these cells will vary. IV: selenium concentrations DV: number of viable cancerous and noncancerous cells No concentration (control) Low concentration Medium concentration High concentration Cancerous Cells 4 trials 4 trials 4 trials 4 trials Noncancerous cells 4 trials 4 trials 4 trials 4 trials The Effect of the Type of Music Program on Level of Hearing loss Kaegan Gregory RMSST Purpose & Rationale To determine whether a certain music program causes more hearing damage than others. By defining what program causes the most damage solutions for specific groups can be made. Data Analysis 1. Bar graph for each group 2. Frequency distribution 3. Median 4. Kruskal-Wallace Abstract Many musicians suffer from hearing loss. Is this happening in our schools at this very minute? Background Musicians in both classical venues and modern discotheques suffer from hearing loss. Methodology Students will be tested at 50, 500, 1000, 2000, 3000, and 4000 HZ at 25 dB Experimental Design Diagram Hypothesis: Different music programs will have different levels of hearing loss IV: Type of music program DV: Level of hearing loss Constants: Audiometer used, students tested, environment. Band Chorus Non-Musicians Levels 9th 10th 11th 12th 9th 10th 11th 12th 9th 10th 11th 12th Trials 20 20 20 20 20 20 20 20 20 20 20 20 Abstract IV: Concrete Compostition CEMEX© Concrete (Control) Custom Formulation #1: 6% Air, 11% Fly ash, 26% Bottom ash, 41% Boiler slag, 16% Water Custom Formulation #2: 5% Air, 18% Fly ash, 20% Bottom ash, 37% Boiler slag, 20% Water Custom Formulation #3: 10% Air, 22% Fly ash, 30% Bottom ash, 24% Boiler slag, 14% Water Custom Formulation #4: 7% Air, 14% Fly ash, 25% Bottom ash, 34% Boiler slag, 20% Water Custom Formulation #5: 12% Air, 20% Fly ash, 26% Bottom ash, 30% Boiler slag, 12% Water Custom Formulation #6: 4% Air, 12% Fly ash, 25% Bottom ash, 42% Boiler slag, 17% Water 2 Trials 2 Trials 2 Trials 2 Trials 2 Trials 2 Trials 2 Trials IV: Cementitious Material Portland Cement Type C Fly Ash Type C Fly Ash Type C Fly Ash Type C Fly Ash Type C Fly Ash Type C Fly Ash 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial IV: Aggregate Sand Bottom Ash Bottom Ash Bottom Ash Bottom Ash Bottom Ash Bottom Ash Gravel Boiler Slag Boiler Slag Boiler Slag Boiler Slag Boiler Slag Boiler Slag 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial DV: Performance of Concrete Hypothesis: The byproduct concrete will vary compared to standard concrete in each of the tests. Purpose and Rationale Background Info & Previous Studies Methodology Data Interpretation Experimental Design Diagram Concrete samples for each group will be mixed Cementitious material and aggregate samples will be set aside for testing Setting Time and Compressive Strength tests will be conducted for concrete samples Fineness test will be conducted for cementitious material samples Soundness test will be conducted for aggregate samples Purpose: Create concrete using Type C fly ash, bottom ash, boiler slag, air, and water Rationale: Creating concrete using only byproducts from coal-fired power plants can greatly reduce the carbon footprint as the byproducts are being recycled This project will test whether or not coal combustion byproducts can serve as an equivalent substitute for standard concrete, without sacrificing performance. CCBs (fly ash, bottom ash, flue gas, etc.) can be used in the manufacturing of other materials Fly ash is usable as a substitute for Portland cement, acting as a pozzolan and cementing material Bottom ash is a viable fine aggregate Descriptive: Continuous (Mean, Range, Std. Deviation), Ordinal, Median, Frequency Distribution Inferential: ANOVA, Chi- Square Abstract: This project will test how well ozone can remove the pharmaceutical, penicillin, from water. Ozone and Pharmaceuticals in Water Ashley Hong Rockdale Magnet School for Science & Technology Purpose: To test which concentration of ozone can best remove pharmaceuticals. Rationale: The pharmaceuticals can affect human health Background: Estrogen was found in the blood of male fish near a wastewater treatment in Britain and Arizona. Penicillin is an antibiotic that is used for some injuries as well as sickness. Ozonation is an alternative for purifying water in wastewater treatment. Methodology: The ozone generator will be built to add ozone into cold water with penicillin. Then, the water will be divided into four different samples: control, low, medium, and high concentrations of ozone. ELISA and zone of inhibition will be used to see if penicillin is removed from the water. The Spec20 will also be tested as well as absorption. Data Interpretation: The data is both qualitative and quantitative. ANOVA and Chi-Square will be used to determine significant differences. Descriptive statistics such as mean, range, and standard deviation as well as mode and frequency distribution will be calculated. Experimental Design Diagram Hypothesis: If ozone is added to the water with pharmaceuticals, then some of the pharmaceuticals would be removed. IV: Levels of Ozone and Pharmaceutical Penicillin None (control) Low Concentration Medium Concentration High Concentration 3 Trials 3 Trials 3 Trials 3 Trials DV: Amount of pharmaceuticals removed (absorbance values, zone of inhibition, and color from ELISA test) Constants: level of pharmaceuticals in water, aseptic and culturing techniques, and time exposed. The Inhibiting Effects of Different Treatments on Biofilms Abstract Biofilms are hard to disinfect. This project will find new disinfecting methods. Purpose and Rationale The purpose of this project is to find new treatment for disinfecting biofilms. Biofilms carry many infectious diseases. This project could help many people from getting infected. Background information Biofilms occur when bacteria clump together on a solid surface. Not even chlorine bleach can completely disinfect them. Methodology All bacteria will be grown into biofilms. Then all treatments will be applied in different amounts. Data Interpretation Absorbency and colony counts are quantitative measurements and will be graphed. ANOVA will be done to determine significant differences. The mean, range and standard deviation will be found. Hypothesis: There will be a significant reduction of the biofilms when exposed to different disinfecting methods. IV: Disinfecting Methods, Biofilms Aspergillus fumigatus Serratia marcescens Staphylococcus epidermidis Licorice extract 3 3 3 Grapefruit seed extract 3 3 3 Steam 3 3 3 Bleach 3 3 3 Water 3 3 3 DV: Biofilm growth (colony counts and asorbance) Constants: Agar, culturing methods, aseptic technique Lanaya Jackson RMSST T h e E f f e c t o f P h a r m a c e u t i c a l D r u g s o n D a p h n i a a n d W a t e r W i l l o w H e a l t h K e n n e d y M i l l e r R o c k d a l e M a g n e t S c h o o l f o r S c i e n c e a n d T e c h n o l o g y Abstract This project will test pharmaceutical drugs on aquatic life to see what health effects are produced. Purpose To add the organisms and drugs to an artificial environment and observe health effects. Rationale Pharmaceutical pollution can cause serious damage to aquatic ecosystems. Background Pharmaceuticals enter aquatic systems through waste streams from waste water treatment plants. Aquatic organisms in affected areas are exposed daily to dangerous concentrations of drugs. Toxins build up and are transferred to humans as the organism is eaten. Methodology Organisms are placed into artificial environment Pharmaceutical drug is added to appropriate tank with correct concentration Observe health effects, record mortalities and compile data Data Interpretation Descriptive: mean, mode, range, standard deviation and frequency distribution Inferential: ANOVA and Chi-square IV: Concentration of pollutant No Pollutant (control) Low Concentration Medium Concentration High Concentration Prilosec 29 trials 29 trials 29 trials 29 trials Xanax 29 trials 29 trials 29 trials 29 trials Aleve 29 trials 29 trials 29 trials 29 trials Hypothesis: the pharmaceutical pollutants, Xanax, Prilosec and Aleve, will have a negative effect on the health of both Daphnia and Water Willows in the same affected area. The effect of Hair Dye on Fetal Tissue Alexas Mitchell Rockdale Magnet School for Science and Technology Abstract: This project will test the effect that hair dye has on fetal tissue. Purpose and Rationale: determine the effect of hair dye on fetal tissue it may cause damage to the baby in the womb Background: Eugene Schveller discovered hair dye in 1907 Darker colors have higher concentrations Hair dye contains chemicals similar to those in coal tar Methodology: Embryonic stem cells will be used Black, blonde, and red hair dye colors will be used Data Interpretation: Descriptive- mean, standard deviation, range Inferential statistics- ANOVA IV: hair dye colors Control: None Black 4 trials Blonde Red 4 trials 4 trials 4 trials Experimental Design Diagram Hypothesis: The darker the hair dye, the greater effect it will have on fetal tissue. DV: Viability of stem cells Constants: Aseptic technique, culturing methods, time of exposure
Transcript
  • The Effect of Selenium Concentrations on the Growth of Cancerous and Noncancerous Skin Cells

    Kemi Adeleke - RMSST

    Abstract: This project will test selenium on the growth of cancerous and noncancerous cells.

    Purpose & Rationale: • The purpose of this research project is to test selenium on

    cancerous and noncancerous cells to determine if it causes cell death.

    • Those who consume selenium need to know the health effects it can cause.

    Background Information: Selenium has been known to reduce the chances of developing cancer. Humans should consume about 55 mcg per day. But too much selenium can cause selenosis poisoning.

    Methodology: There will be a low, medium, and high concentration of selenium tested on both cancerous and noncancerous cells. The control will have sterile PBS only. This will help show which concentration is recommended. Only live cells will be counted to show the effect the treatment had.

    Data Interpretation: Descriptive: mean, mode, range, and standard deviation Inferential: ANOVA test and chi-square

    Experimental Design Diagram Hypothesis: If selenium concentrations are tested on cancerous and noncancerous cells, the growth of these cells will vary. IV: selenium concentrations DV: number of viable cancerous and noncancerous cells

    No concentration (control)

    Low concentration

    Medium concentration

    High concentration

    Cancerous Cells

    4 trials 4 trials 4 trials 4 trials

    Noncancerous cells

    4 trials 4 trials 4 trials 4 trials

    The Effect of the Type of Music Program on Level of Hearing loss

    Kaegan Gregory RMSST

    Purpose & Rationale

    To determine whether a certain music program causes more hearing damage than others.

    By defining what program causes the most damage

    solutions for specific groups can be made.

    Data Analysis 1. Bar graph for each group 2. Frequency distribution

    3. Median 4. Kruskal-Wallace

    Abstract Many musicians suffer from

    hearing loss. Is this happening in our schools at this very minute?

    Background Musicians in both classical

    venues and modern discotheques suffer from

    hearing loss.

    Methodology Students will be tested at

    50, 500, 1000, 2000, 3000, and 4000 HZ at 25 dB

    Experimental Design

    Diagram Hypothesis: Different music programs will have different levels

    of hearing loss IV: Type of music

    program DV: Level of hearing

    loss Constants:

    Audiometer used, students tested,

    environment.

    Band Chorus Non-Musicians

    Levels 9th 10th 11th 12th 9th 10th 11th 12th 9th 10th 11th 12th

    Trials

    20 20 20 20 20 20 20 20 20 20 20 20

    Abstract

    IV: Concrete CompostitionCEMEX© Concrete (Control)

    Custom Formulation #1: 6% Air, 11% Fly ash, 26% Bottom ash, 41% Boiler slag, 16% Water

    Custom Formulation #2: 5% Air, 18% Fly ash, 20% Bottom ash, 37% Boiler slag, 20% Water

    Custom Formulation #3:10% Air, 22% Fly ash, 30% Bottom ash, 24% Boiler slag, 14% Water

    Custom Formulation #4:7% Air, 14% Fly ash, 25% Bottom ash, 34% Boiler slag, 20% Water

    Custom Formulation #5: 12% Air, 20% Fly ash, 26% Bottom ash, 30% Boiler slag, 12% Water

    Custom Formulation #6:4% Air, 12% Fly ash, 25% Bottom ash, 42% Boiler slag, 17% Water

    2 Trials 2 Trials 2 Trials 2 Trials 2 Trials 2 Trials 2 Trials

    IV: Cementitious Material

    Portland Cement Type C Fly Ash Type C Fly Ash Type C Fly Ash Type C Fly Ash Type C Fly Ash Type C Fly Ash

    1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial

    IV: Aggregate

    Sand Bottom Ash Bottom Ash Bottom Ash Bottom Ash Bottom Ash Bottom Ash

    Gravel Boiler Slag Boiler Slag Boiler Slag Boiler Slag Boiler Slag Boiler Slag

    1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial 1 Trial

    DV: Performance of Concrete

    Hypothesis: The byproduct concrete will vary compared to standard concrete in each of the tests.

    Purpose and Rationale Background Info & Previous Studies

    Methodology Data Interpretation Experimental Design Diagram

    • Concrete samples for each group will be mixed

    • Cementitious material and aggregate samples will be set aside for testing

    • Setting Time and Compressive Strength tests will be conducted for concrete samples

    • Fineness test will be conducted for cementitious material samples

    • Soundness test will be conducted for aggregate samples

    Purpose: • Create concrete using Type C fly ash,

    bottom ash, boiler slag, air, and water Rationale: • Creating concrete using only byproducts

    from coal-fired power plants can greatly reduce the carbon footprint as the byproducts are being recycled

    • This project will test whether or not coal combustion byproducts can serve as an equivalent substitute for standard concrete, without sacrificing performance.

    • CCBs (fly ash, bottom ash, flue gas, etc.) can be used in the manufacturing of other materials

    • Fly ash is usable as a substitute for Portland cement, acting as a pozzolan and cementing material

    • Bottom ash is a viable fine aggregate

    • Descriptive: Continuous (Mean, Range, Std. Deviation), Ordinal, Median, Frequency Distribution

    • Inferential: ANOVA, Chi-Square

    Abstract: • This project will test how well ozone can

    remove the pharmaceutical, penicillin, from water.

    Ozone and Pharmaceuticals in Water Ashley Hong

    Rockdale Magnet School for Science & Technology

    Purpose: To test which concentration of ozone can best remove pharmaceuticals. Rationale: The pharmaceuticals can affect human health

    Background: • Estrogen was found in the blood of male

    fish near a wastewater treatment in Britain and Arizona.

    • Penicillin is an antibiotic that is used for some injuries as well as sickness.

    • Ozonation is an alternative for purifying water in wastewater treatment.

    Methodology: The ozone generator will be built to add ozone into cold water with penicillin. Then, the water will be divided into four different samples: control, low, medium, and high concentrations of ozone. ELISA and zone of inhibition will be used to see if penicillin is removed from the water. The Spec20 will also be tested as well as absorption.

    Data Interpretation: The data is both qualitative and quantitative. ANOVA and Chi-Square will be used to determine significant differences. Descriptive statistics such as mean, range, and standard deviation as well as mode and frequency distribution will be calculated.

    Experimental Design Diagram Hypothesis: If ozone is added to the water with pharmaceuticals, then some of the pharmaceuticals would be removed.

    IV: Levels of Ozone and Pharmaceutical Penicillin None (control) Low Concentration Medium

    Concentration High Concentration

    3 Trials 3 Trials

    3 Trials

    3 Trials

    DV: Amount of pharmaceuticals removed (absorbance values, zone of inhibition, and color from ELISA test) Constants: level of pharmaceuticals in water, aseptic and culturing techniques, and time exposed.

    The Inhibiting Effects of Different Treatments on Biofilms

    Abstract Biofilms are hard to disinfect. This project will find new disinfecting methods.

    Purpose and Rationale The purpose of this project is to find new treatment for disinfecting biofilms. Biofilms carry many infectious diseases. This project could help many people from getting infected.

    Background information • Biofilms occur when bacteria

    clump together on a solid surface. • Not even chlorine bleach can

    completely disinfect them.

    Methodology All bacteria will be grown into biofilms. Then all treatments will be applied in different amounts.

    Data Interpretation Absorbency and colony counts are quantitative measurements and will be graphed. ANOVA will be done to determine significant differences. The mean, range and standard deviation will be found.

    Hypothesis: There will be a significant reduction of the biofilms when exposed to different disinfecting methods. IV: Disinfecting Methods, Biofilms Aspergillus fumigatus

    Serratia marcescens Staphylococcus

    epidermidis

    Licorice extract 3 3 3 Grapefruit seed extract

    3 3 3

    Steam 3 3 3 Bleach 3 3 3 Water 3 3 3 DV: Biofilm growth (colony counts and asorbance) Constants: Agar, culturing methods, aseptic technique

    Lanaya Jackson RMSST

    The Effect of Pharmaceutical Drugs on Daphnia and Water Willow Health

    Kennedy Miller Rockdale Magnet School for Science and Technology

    Abstract This project will test pharmaceutical drugs on aquatic life to see what health effects are produced.

    Purpose To add the organisms and drugs to an artificial environment and observe health effects.

    Rationale

    Pharmaceutical pollution can cause serious damage to aquatic ecosystems.

    Background Pharmaceuticals enter aquatic

    systems through waste streams from waste water treatment plants.

    Aquatic organisms in affected areas are exposed daily to dangerous concentrations of drugs.

    Toxins build up and are transferred to humans as the organism is eaten.

    Methodology Organisms are placed into artificial

    environment Pharmaceutical drug is added to

    appropriate tank with correct concentration

    Observe health effects, record mortalities and compile data

    Data Interpretation Descriptive: mean, mode, range,

    standard deviation and frequency distribution

    Inferential: ANOVA and Chi-square

    IV: Concentration of pollutant

    No Pollutant (control)

    Low Concentration

    Medium Concentration

    High Concentration

    Prilosec 29 trials 29 trials 29 trials 29 trials Xanax 29 trials 29 trials 29 trials 29 trials Aleve 29 trials 29 trials 29 trials 29 trials

    Hypothesis: the pharmaceutical pollutants, Xanax, Prilosec and Aleve, will have a negative effect on the health of both Daphnia and Water Willows in the same affected area.

    The effect of Hair Dye on Fetal Tissue Alexas Mitchell

    Rockdale Magnet School for Science and Technology Abstract: This project will test the effect that hair dye has on fetal tissue.

    Purpose and Rationale: • determine the effect of hair dye

    on fetal tissue • it may cause damage to the

    baby in the womb

    Background: • Eugene Schveller discovered

    hair dye in 1907 • Darker colors have higher

    concentrations • Hair dye contains chemicals

    similar to those in coal tar

    Methodology: • Embryonic stem cells will be

    used • Black, blonde, and red hair

    dye colors will be used

    Data Interpretation: • Descriptive- mean, standard

    deviation, range • Inferential statistics- ANOVA

    IV: hair dye colors Control: None Black

    4 trials

    Blonde Red 4 trials 4 trials 4 trials

    Experimental Design Diagram Hypothesis: The darker the hair dye, the greater effect it will have on

    fetal tissue.

    DV: Viability of stem cells Constants: Aseptic technique, culturing methods, time of exposure


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