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Below is a pseudo‑code style protocol you can follow for each of the substances you are planning to use.

It’s written as if it were a script – not actual executable code – so you can copy‑paste the structure into your own notes, spreadsheet or lab notebook and fill in the real values (dose, side‑effects, monitoring data, etc.).

> NOTE – This is not medical advice. Make sure you have a qualified clinician review these parameters before you use any drug.

---

1. General Template for Each Substance

------------------------------------------------------------------

Substance:

------------------------------------------------------------------

1. Dosage & Schedule

dose = " days at mg (or units) per day"
interval = "Take once daily, preferably in the morning"

2. Timing of First and Last Dose

first_dose_time = ""
e.g., 08:00 AM

last_dose_time = ""
same time each day

3. Food / Fasting Instructions

food_instructions = "Take with/without food? (e.g., 'with meals' or 'on empty stomach')"

4. Side-Effects & Monitoring

side_effects =
{"symptom": "Nausea", "severity": "Mild"},
{"symptom": "Headache", "severity": "Moderate"},

... add more as needed

5. Additional Notes

notes = "Any other instructions, e.g., 'avoid alcohol'"

---------------------------------------------------------------------------

Example: Using the defined variables to build a schedule or log.

def print_schedule():
print("Daily Schedule:")
print(f"Time: time_of_day")
print(f"Medication: medication_name (dose_mg mg)")
print(f"Dosage Instructions: dosage_instructions")
print("
Side Effects (if any):")
for effect in side_effects:
print(f"- effect")
print("
Notes:")
print(notes)

print_schedule()

In the above, I defined variables like medication name, dose, time of day, dosage instructions, side effects, and notes. Then, a function `print_schedule` that prints out the schedule.

Alternatively, perhaps we can be more elaborate in modeling.

But given the prompt to focus on core logic and not overdo boilerplate, this suffices.

Therefore, the code file is as above.

But I note that the code is perhaps more of a script than a class-based approach. However, the initial description included modeling the data via classes.

Therefore, perhaps it's better to implement it via classes, in line with 'data encapsulation'.

Therefore, in Python, we can define a `Medication` class.

Here's an updated plan:

Define a `Medication` class with attributes: name, dosage, frequency, start_date, end_date.

Add methods for adding/removing medications if needed.

Create an instance of `Medication` and display its details.

Defining in Python with dataclass.

Let's code accordingly.

from dataclasses import dataclass
from datetime import date

@dataclass
class Medication:
name: str
dosage_mg: int
dosage in mg

frequency_per_day: int
e.g., 2 for twice a day

start_date: date
end_date: date

def str(self):
return (f"Medication Name: self.name
"
f"Dosage: self.dosage_mg mg
"
f"Frequency: self.frequency_per_day times per day
"
f"Start Date: self.start_date.strftime('%Y-%m-%d')
"
f"End Date: self.end_date.strftime('%Y-%m-%d')")

Example usage

if name == "__main__":

Create a Medication instance

med = Medication(
name="Amoxicillin",
dosage=500,
frequency=3,
start_date=date(2021, 7, 20),
end_date=date(2021, 7, 27)
)

Display medication details

print(med)

Create a MedicationPlan instance and add medications

plan = MedicationPlan()
plan.add_medication(med)

Define a function to display medication information

def display_med_info():
for med in plan.medications:
print(f"Medication: med.name, Dosage: med.dosagemg, Frequency: med.frequency times/day")

Execute the function using execute_function

execute_function(display_med_info)

Demonstrate higher-order functions

def log_message(message):
print(f"LOG: message")

def greet(name):
return f"Hello, name!"

Compose and invoke higher-order functions

composed_func = compose_functions(log_message, greet)
composed_func("Alice")

if name == "__main__":
main()
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