diff --git a/8th-Semester-Spring-2025/biology/week-8/Monosynaptic Reflexes.pdf b/8th-Semester-Spring-2025/biology/week-8/Monosynaptic Reflexes.pdf
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index 0000000..c90d054
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diff --git a/8th-Semester-Spring-2025/biology/week-8/Nerve Tissue.pdf b/8th-Semester-Spring-2025/biology/week-8/Nerve Tissue.pdf
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index 0000000..168143f
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diff --git a/8th-Semester-Spring-2025/biology/week-8/pre-lab-project-8/pre-lab-project-8.md b/8th-Semester-Spring-2025/biology/week-8/pre-lab-project-8/pre-lab-project-8.md
new file mode 100644
index 0000000..863a605
--- /dev/null
+++ b/8th-Semester-Spring-2025/biology/week-8/pre-lab-project-8/pre-lab-project-8.md
@@ -0,0 +1,3 @@
+A key concept from the video "The Action Potential" is how an impulse travels down an axon within a neuron. Initially, the voltage across the membrane is about -70mV. The impulse begins when potassium ions begin to leave the axon, and sodium ions enter. Then, once the potential approaches -55mV, sodium voltage gated channel open up, allowing sodium ions to rush into the axon, causing depolarization. As the voltage reaches 30mV, the sodium channels close and potassium voltage gated channels open. The potassium voltage-gated channels allow potassium ions to rush out of the cell, initiating repolarization. Importantly, for the signal to travel along the axon, the depolarization of one section initiates the depolarization of the next section in one direction.
+
+Once the sodium ions enter the cell and the potassium ions leave, how does the system reset to its initial state?
diff --git a/8th-Semester-Spring-2025/biology/week-8/thesis/Sharpe_TermProjectPart1.md b/8th-Semester-Spring-2025/biology/week-8/thesis/Sharpe_TermProjectPart1.md
new file mode 100644
index 0000000..c29cbf6
--- /dev/null
+++ b/8th-Semester-Spring-2025/biology/week-8/thesis/Sharpe_TermProjectPart1.md
@@ -0,0 +1,11 @@
+---
+title: BIOL01113 Term Project Part 1
+author: Aidan Sharpe
+date: March 17th, 2025
+geometry: margin=1in
+---
+# Question
+Why are the pancreas, liver, and gallbladder called accessory organs of the digestive system?
+
+# Thesis Statement
+The pancreas, liver, and gallbladder are considered accessory organs because they do not directly process food and merely assist with digestion.
diff --git a/8th-Semester-Spring-2025/biology/week-8/thesis/Sharpe_TermProjectPart1.pdf b/8th-Semester-Spring-2025/biology/week-8/thesis/Sharpe_TermProjectPart1.pdf
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index 0000000..c3c3e29
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diff --git a/8th-Semester-Spring-2025/biology/week-8/vocab/Sharpe_VocabularyAssignment8.md b/8th-Semester-Spring-2025/biology/week-8/vocab/Sharpe_VocabularyAssignment8.md
new file mode 100644
index 0000000..3341b6d
--- /dev/null
+++ b/8th-Semester-Spring-2025/biology/week-8/vocab/Sharpe_VocabularyAssignment8.md
@@ -0,0 +1,36 @@
+---
+title: BIOL01113 Vocabulary Assignment 8
+author: Aidan Sharpe
+date: March 17th, 2025
+geometry: margin=1in
+---
+
+# Ingestion
+The act of taking in food.
+
+# Mechanical Digestion
+Breaking down food with mechanical force (chewing).
+
+# Chemical Digestion
+Breaking down food with chemicals.
+
+# Absorption
+The movement of a substance into a cell or through a membrane.
+
+# Esophagus
+The tube that transports food from the mouth to the stomach.
+
+# Stomach
+A sac-like organ that mixes food and gastric juices to perform chemical digestion.
+
+# Small Intestines
+The longer of the two intestines, responsible for absorbing most nutrients.
+
+# Colon
+The long tube structure of the large intestine, responsible for absorbing water.
+
+# Accessory Organs
+The accessory organs to the digestive system are pancreas, gallbladder, and liver, which are responsible for producing enzymes and chemicals to aid in metabolism.
+
+# Microbiome
+The collection of microbes living in the digestive tract that aid in the digestion process.
diff --git a/8th-Semester-Spring-2025/biology/week-8/vocab/Sharpe_VocabularyAssignment8.pdf b/8th-Semester-Spring-2025/biology/week-8/vocab/Sharpe_VocabularyAssignment8.pdf
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index 0000000..151e586
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diff --git a/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q3.py b/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q3.py
index cb3aea8..5708fba 100644
--- a/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q3.py
+++ b/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q3.py
@@ -6,20 +6,32 @@ import matplotlib.pyplot as plt
def u(n):
return np.heaviside(n, 1)
-
+# Transfer function for an ideal lowpass filter
def ideal_lowpass(omega, omega_c):
return np.where(np.abs(omega) <= omega_c, 1, 0)
def main():
- omega_c = 0.4*np.pi
- omega = np.arange(0, np.pi, 0.05*np.pi)
+ f_c = 0.4 # Cutoff frequency
+ omega_c = np.pi*f_c # Angular cutoff frequency
+ omega = np.arange(0, np.pi, 0.05*np.pi) # Frequency range
- h_lpf = ideal_lowpass(omega, omega_c)
+ n = np.arange(-50, 51) # Sample range (100 samples centered at 0)
- plt.plot(omega, h_lpf)
+ x = f_c*np.sinc(f_c*n) # Impulse resonse of ideal LPF
+ plt.stem(n,x)
plt.show()
+ h_lpf = ideal_lowpass(omega, omega_c) # Plot X(e^jw)
+ plt.plot(omega, h_lpf)
+ plt.xlabel("Frequency")
+ plt.ylabel("DTFT of Ideal Lowpass Filter")
+
+
+ for k in (10, 20, 30): # K values for truncated DTFT
+ w,h = sp.signal.freqz(x[50-k:50+k], 1, omega) # Calculate truncated DTFT
+ plt.plot(omega, np.abs(h)) # Plot magnitude of truncated DTFT
+ plt.show()
if __name__ == "__main__":
main()
diff --git a/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q5.m b/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q5.m
index c6ac873..d9e1344 100644
--- a/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q5.m
+++ b/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q5.m
@@ -1,12 +1,17 @@
+% First 100 samples
for n=0:99
y1(n+1) = (1 - (0.95)^(n+1))/0.05;
y2(n+1) = n + 1;
end
+
+% Plot output of system for input x[n] = 0.95^n u[n]
figure(1)
n=0:1:99;
stem(n,y1)
xlabel('n')
ylabel('y(n)')
+
+% Plot output of system for input x[n] = u[n]
figure(2)
n=0:1:99;
stem(n,y2)
diff --git a/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q5.py b/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q5.py
new file mode 100644
index 0000000..478dbd9
--- /dev/null
+++ b/8th-Semester-Spring-2025/clinic-consultant/labs/lab-3/lab3q5.py
@@ -0,0 +1,23 @@
+import numpy as np
+import scipy as sp
+import matplotlib.pyplot as plt
+
+def main():
+ n = np.arange(100) # First 100 samples
+
+ y_1 = (1 - 0.95**(n+1))/0.05 # Output of system for input x[n] = 0.95^n u[n]
+ y_2 = n + 1 # Output of system for input x[n] = u[n]
+
+ plt.stem(n, y_1) # Plot y_1[n]
+ plt.xlabel("n")
+ plt.ylabel("y[n]")
+ plt.show()
+
+ plt.stem(n, y_2) # Plot y_2[n]
+ plt.xlabel("n")
+ plt.ylabel("y[n]")
+ plt.show()
+
+
+if __name__ == "__main__":
+ main()
diff --git a/8th-Semester-Spring-2025/cloud-hardware/CLOUD HARWARE PROJECT 6-1.docx b/8th-Semester-Spring-2025/cloud-hardware/CLOUD HARWARE PROJECT 6-1.docx
new file mode 100644
index 0000000..875224d
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diff --git a/8th-Semester-Spring-2025/frontiers/references/10.1038_s41467-017-01104-3-citation.ris b/8th-Semester-Spring-2025/frontiers/references/10.1038_s41467-017-01104-3-citation.ris
new file mode 100644
index 0000000..f101e65
--- /dev/null
+++ b/8th-Semester-Spring-2025/frontiers/references/10.1038_s41467-017-01104-3-citation.ris
@@ -0,0 +1,18 @@
+TY - JOUR
+AU - Al Ouahabi, Abdelaziz
+AU - Amalian, Jean-Arthur
+AU - Charles, Laurence
+AU - Lutz, Jean-François
+PY - 2017
+DA - 2017/10/17
+TI - Mass spectrometry sequencing of long digital polymers facilitated by programmed inter-byte fragmentation
+JO - Nature Communications
+SP - 967
+VL - 8
+IS - 1
+AB - In the context of data storage miniaturization, it was recently shown that digital information can be stored in the monomer sequences of non-natural macromolecules. However, the sequencing of such digital polymers is currently limited to short chains. Here, we report that intact multi-byte digital polymers can be sequenced in a moderate resolution mass spectrometer and that full sequence coverage can be attained without requiring pre-analysis digestion or the help of sequence databases. In order to do so, the polymers are designed to undergo controlled fragmentations in collision-induced dissociation conditions. Each byte of the sequence is labeled by an identification tag and a weak alkoxyamine group is placed between 2 bytes. As a consequence of this design, the NO-C bonds break first upon collisional activation, thus leading to a pattern of mass tag-shifted intact bytes. Afterwards, each byte is individually sequenced in pseudo-MS3 conditions and the whole sequence is found.
+SN - 2041-1723
+UR - https://doi.org/10.1038/s41467-017-01104-3
+DO - 10.1038/s41467-017-01104-3
+ID - Al Ouahabi2017
+ER -
diff --git a/8th-Semester-Spring-2025/frontiers/references/Acharya-2015-String reconstruction.pdf b/8th-Semester-Spring-2025/frontiers/references/Acharya-2015-String reconstruction.pdf
new file mode 100644
index 0000000..23c5eb0
--- /dev/null
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