PSYC Cheat Sheet

Sleep
▸Sleep efficiency: % time asleep while in bed. Healthy ≥85%; below = insomnia range
▸Parasomnias: abnormal events during sleep. Dyssomnias: issues w/ quantity/timing/quality
3P (Spielman) Model
▸Predisposing: pre-existing bio/psych/social vulnerabilities (e.g., neuroticism)
▸Precipitating: acute stressor/illness triggering onset
▸Perpetuating: coping behaviors that maintain insomnia (excess time in bed, napping, catastrophizing)
CBT-I (1st-Line Treatment)
▸Sleep
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ingles

First Conditional

If + present simple, will + verb

Exemplo:If I study, I will pass.

Mais exemplos:If she calls, I will answer.If it rains, we will stay home.

3) Second Conditional If + past simple, would + verb

If I had money, I would buy a car.

If I were taller, I would play basketball.

Muito importante:

4) Passive Voice

to be + past participle:

The book was written by the author.

Verbos comuns na passive:write → written / make → made /speak → spoken/ build → built /produce → produced

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On The Waterfront

General Vision and Viewpoint Cultural Context Literary Genre
Terry attempts to change the violence and exploitation that has corrupted life on the waterfront.

The world of the text is all of the things that make the place the characters inhabit what it is.
The time and place where a story is set is the most influential factor.

“On the Waterfront” shows us the world of the waterfront and, briefly, the world of politics (the trial and Mr Upstairs).

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Key Moment: Opening scene
• Terry struggles

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1. Sample Space (with example – binary signal)

Definition: A sample space (S) is the set of all possible outcomes of a random experiment. It is usually denoted by S.
Example: In digital communication, a binary signal has only two possible values: 0 and 1. Hence, the sample space is S={0,1}. This means every outcome of the experiment must belong to this set.


2. Event and its Types

Definition: An event (E) is any subset of the sample space. It represents one or more outcomes of an experiment.
Types:...

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GRUPA B

Zadanie 1 s = 5 * 60 = 300 m L = 300 / 4 = 75 m r = 75 / (2 * 3,14) = 11,94 m

Zadanie 2 Odpowiedź: D

Zadanie 3 r = 30 * (90 / 40)^2 r = 30 * 5,0625 = 151,88 m

Zadanie 4 Odpowiedź: A

Zadanie 5 Odpowiedź: B oraz C

Zadanie 6 g = (5 / 4) * 9,81 g = 1,25 * 9,81 = 12,26 m/s2

Zadanie 7 1: P 2: P

Zadanie 8 Odpowiedź: A

Zadanie 9 Odpowiedź: D

Zadanie 10 Odpowiedź: B

Zadanie 11 Na Księżycu: B Ponieważ: D

Zadanie 12 1: B 2: A

Zadanie 13 Odpowiedź: C

Zadanie 14 Odpowiedź: B

Zadanie 15 Odpowiedź:

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questions

What are the core themes or essences of the participants’ lived experiences? The core themes are Physical Pain and Discomfort in Daily Functioning, Peer Interaction and Social Treatment, Coping Strategies and School Environment Improvements, and Gender-Based Perceptions. These themes represent the shared lived experiences of adolescents with AIS in school settings, focusing on how the condition affects their daily life, relationships, and coping.How do your findings describe the lived experience

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unit 5

1.Randomness and Ignorance ?

In Artificial Intelligence, randomness and ignorance are two major sources of uncertainty that affect reasoning and decision-making in intelligent systems.

Randomness refers to uncertainty that is inherent in a system due to chance. Even when all information is available, the outcome cannot be predicted with certainty. For example, tossing a coin or rolling a die produces random results. In AI, randomness is modeled using probability, where each outcome has a

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unit 4

1.Processes and Histories?

In Artificial Intelligence, processes and histories are important for representing dynamic knowledge—how things change over time rather than just static facts.

Processes refer to sequences of actions or events that lead to a change in state. They describe how something happens. For example, the process of a traffic light system changing from red to green, or a student completing an exam, involves a series of steps. In AI, processes are often modeled using rules,

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unit 3

1.1. What is Knowledge Engineering? 

Definition: The application of logic and ontology to create computable models

for solving domain-specific problems within constraints like budgets and deadlines.

Example: A knowledge engineer models a traffic light system where the light alternates

between red and green automatically or can be manually controlled under special conditions.

2. Translating Informal Specifications

 Challenge: Informal, natural language descriptions must be translated

into

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