CHBE 457 Lecture 8: Day 8- Wet Etching
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please TYPE and fill the calories, carbohydrate, protein, and fat parts ( approximately) of the table;
There is no need to be 100% precise just do your best, and estimate, if you don't have exact numbers & answer the below question:
Time | Qty | Food/Beverage Description | Calories | Hunger 1-10 | Mood 1-10 | Carbohydrate gram | Protein gram | Fat gram | ||||
5:30 | 1glass | water | 6 | 5 | ||||||||
7:30 AM | 1 glass | Smoothi/Milk,banana | 8 | 9 | ||||||||
8:30AM | 1 glass | water | 3.0 | 6 | ||||||||
9:30 AM | 2 | dates | 6.0 | 8.0 | ||||||||
11:00 AM | 1 glass | water | 4 | 6.0 | ||||||||
12:30 PM | 2 | Two pieces pizza | 1 | 9.0 | ||||||||
1:30 PM | 1 cup | hot black tea | 4 | 6.0 | ||||||||
4:30 PM | 1 small | Bowl vegetables | 2 | 9.0 | ||||||||
7:15 PM | 1 glass | water | 6.0 | 8.0 | ||||||||
8:30 PM | 1 plate | Half rice/ half steam chicken | 9.5 | 10.0 | ||||||||
9:15 | I glass | water | 3 | 7 | ||||||||
9:42 | I cup | Hot green tea | 4 | 8 |
only one hour walking as anexcercise
Question: Are you meeting you Acceptable Macro Nutrtient Ranges on Day . If not which macronutrient is out of range and why? | |||||
Yes/No Marcronutrient Ranges Met | Which Macronutreint was out of range? | Why do you think the Macronutrient was out of range? | |||
DAY 1 | |||||
HELP ON ECOLOGY LAB REPORT PLEASE!!!
- The AIM of this lab exercise: Does Eastern Mosquitofish (Gambusia holbrooki) population structure differ with season?
- You will compare population structure in an FIU pond from February 2018 (previous semester) with the data that you collect this semester (September 2018).
- CREATE HYPOTHESIS ABOUT POPULATION STRUCTURE (HELP PLEASE)
(HELP PLEASE) Include at least one paragraph ON THE key points of comparison between the life tables. Include the major results for population structure, even if no difference is found! Do these populations differ with respect to optimal age of sexual maturity, R0, G, and r?
FEBRUARY 2018 CURRENT RESULTS
Age Class (days) x | Sample/ Age s(x) | Number/ Age n(x) | Survival Rate 1(x) | Fecundity b(x) | Offspring/Ind 1(x)*b(x) | Age Weighted Fecundity 1(x)*b(x)*x |
0 | 24 | 120 | 1 | 0 | 0 | 0 |
30 | 39 | 96 | 0.8 | 0 | 0 | 0 |
60 | 19 | 57 | 0.475 | 0 | 0 | 0 |
90 | 21 | 38 | 0.317 | 24 | 7.608 | 684.72 |
120 | 8 | 17 | 0.142 | 27 | 3.834 | 460.08 |
150 | 5 | 9 | 0.075 | 29 | 2.175 | 326.25 |
180 | 2 | 4 | 0.033 | 32 | 1.056 | 190.08 |
210 | 0 | 2 | 0.017 | 0 | 0 | 0 |
240 | 1 | 2 | 0.017 | 0 | 0 | 0 |
Sum | 120 | R0 | 14.673 Offspring | |||
G | 113.209 Days | |||||
r | 0.024 Ind/ Days | |||||
Optimal Age for Sexual Maturity | 120 Days |
SEPTEMBER 2018 RESULTS:
Life Table | ||||||
Age class (days) | Sample/ age class | Number/ age class | Survival rate | Fecundity | Offspring/ individual | Age-weighted fecundity |
x | n(x) | n(x) | l(x) | b(x) | l(x)*b(x) | l(x)*b(x)*x |
0 | 9 | 150 | 1 | 0 | 0 | 0 |
30 | 12 | 141 | 0.94 | 0 | 0 | 0 |
60 | 26 | 129 | 0.86 | 0 | 0 | 0 |
90 | 29 | 103 | 0.687 | 24 | 16.48 | 1483.2 |
120 | 33 | 74 | 0.493 | 27 | 13.32 | 1598.4 |
150 | 18 | 41 | 0.273 | 29 | 7.93 | 1189 |
180 | 16 | 23 | 0.153 | 32 | 4.91 | 883.2 |
210 | 7 | 7 | 0.047 | 0 | 0 | 0 |
240 | 0 | 0 | 0 | 0 | 0 | 0 |
Sum | 150 | |||||
R0 | 42.63 | offspring | ||||
G | 120.89 | days | ||||
r | 0.03 | individuals/ day | ||||
Optimal age for sexual maturity | 120 | days |