Nutritional Science, Immunity, and Common Health Conditions
Nutrient Deficiencies and Excesses
Macronutrients and Micronutrients
| Nutrient | Deficiency Effects | Excess Effects |
|---|---|---|
| Protein | Kwashiorkor, Marasmus, Growth Retardation | Obesity, Renal Overload, Gout |
| Carbohydrates | Ketosis, Fatigue, Protein Breakdown for Energy | Obesity, Type 2 Diabetes, Metabolic Syndrome |
| Fat | Essential Fatty Acid Deficiency (Dry Skin, Poor Wound Healing, Growth Failure) | Obesity, Atherosclerosis, Fatty Liver |
| Calcium | Rickets, Osteoporosis, Tetany | Hypercalcemia, Kidney Stones |
| Iron | Iron-Deficiency Anemia | Hemochromatosis, |
English Word Formation: Nouns, Verbs, Adjectives, and Adverbs
English Word Families: A Reference Table
This reference organizes related words by their part of speech, demonstrating common patterns in English word formation (morphology). Note that some cells may be empty if the corresponding form is rare or non-existent.
Core Word Families (A-L)
| Noun | Person/Agent | Verb | Adjective | Adverb |
|---|---|---|---|---|
| Noun | Person | To Verb | Adjective | Adverb |
| Belief | Believer | To Believe | Believable | Believably |
| Breadth | – | To Broaden | Broad | Broadly |
| Clearance | – | To Clear | Clear | Clearly |
| Depth | – | To Deepen | Deep | Deeply |
| Height | – | To Highlight | High | Highly |
| Length | – |
The Resistance to Franco’s Regime (1939–1975)
Francisco Franco remained in power for almost 40 years, dying in 1975. This period is considered one of the longest dictatorships in modern European history.
The Opposition Policy in the First Francoism (1939–1959)
Initial Repression and Political Scattering
The substitution of the previous political system was accompanied by intense repression. Francoism sought to impose a warning on those who had opposed the uprising. Repression dismantled political parties and unions, whose members were imprisoned,
Read MorePersonal Reflections, Biographies, and Language Practice
Language Practice: Status and Feelings
Daily Status Updates
- The movie has just begun.
- I feel very exhausted today.
- Jill thinks it is embarrassing when she speaks in public.
- Jess has a big exam tomorrow, so she isn’t relaxed.
- Jake hasn’t finished his homework yet.
Part 2: Weekly Feelings Dialogue
Hi Jane.
In class, we’ve been talking about how we feel during the week. How do you feel on Mondays?
What a wonderful topic to talk about. How do I feel on Mondays? Well, I don’t like Mondays because it’s after
Read MoreThe Bermuda Triangle: Unraveling the Mystery of Vanishing Ships and Planes
The Bermuda Triangle: Unraveling the Mystery
Today, we embark on a journey into one of the most captivating mysteries that has fascinated both scientists and the general public for decades: the Bermuda Triangle. Often called the “Devil’s Triangle,” this vast stretch of ocean has been the site of numerous unexplained disappearances and curious phenomena, capturing our imaginations and fueling countless theories. But what really happens in this mysterious region? Why does it continue to intrigue us
Read MoreCausal Inference Methods: RCTs vs. Quasi-Experimental Designs
RCTs and the Foundations of Causal Inference
A Randomized Controlled Trial (RCT) earns its privileged status because the researcher dictates treatment assignment through explicit randomization, thereby severing any systematic link between the treatment and unobserved confounders. That design choice ensures “internal validity at list price”: the difference in average outcomes across treatment arms is, by construction, an unbiased estimate of the causal effect, conditional only on compliance and
Read MoreImplementing Core Machine Learning Algorithms in Python
1. Perceptron Algorithm Implementation
The Perceptron is a foundational linear classification algorithm. This implementation uses NumPy for efficient vector operations.
Perceptron Class Definition
import numpy as np, random
class Perceptron:
def __init__(self, eta=0.01, n_iter=50, random_state=1):
self.eta, self.n_iter, self.random_state = eta, n_iter, random_state
def fit(self, x, y):
rgen = np.random.RandomState(self.random_state)
self.w_ = rgen.normal(0, 0.01, 1 Digital Image Processing Fundamentals: Sensors, Color, and Analysis
Introduction to Digital Image Processing
This document covers fundamental concepts in digital image processing, including sensor technology, color models, data representation, and essential image manipulation techniques like normalization, histogram processing, and binarization.
Principle of Operation of the CMOS Sensor
The CMOS (Complementary Metal-Oxide-Semiconductor) sensor works on a similar principle to the CCD. Light falls onto a silicon crystal, forming pixels and generating electrical charges
Read MoreCognitive Processes and Knowledge Types in Second Language Acquisition
Cognitive Processes in Second Language Acquisition (SLA)
This section examines how our mind receives and processes information during language acquisition. It explores how processed information becomes knowledge and functions within our cognitive system.
Types of Knowledge in SLA
Knowledge types discussed include:
- Acquired vs. Learned knowledge
- Declarative vs. Procedural knowledge
- Implicit vs. Explicit learning/knowledge
Both declarative and procedural knowledge are stored in our brain.
How Linguistic Knowledge
Read MoreSemantic Relations: Monosemy, Synonymy, Polysemy, and Antonymy
Semantics: The Study of Word Meaning
Semantics is the science that studies the meaning of words.
Fundamental Semantic Relations
A signifier having only one meaning is called monosemy.
When a signifier corresponds to multiple meanings, we encounter the semantic phenomena of synonymy, polysemy, and homonymy.
1. Synonymy
Synonymy occurs when multiple signifiers share the same meaning.
For example, the words cold and ice are presented as having the same meaning.
Few words are perfect synonyms. Significant variations
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