Needfhh

1. Změny po průmyslové revoluci:

a) urbanizace

b) růst obyvatel

c) dělnická třída

d) stroje místo rukou

e) masová výroba

f) rychlá doprava & komunikace

2. Odcizení (Marx):

a) dělník ztrácí vztah k práci

b) cítí se cizí ve společnosti

3. Ohnisko WW1:

a) Balkán

4. Trojspolek (1882):

a) Itálie se připojila

5. WW1 – fakta:

a) 1914–1917

b) Trojspolek × Trojdohoda

c) světový konflikt

❌ d) nešlo o demokracie vs. monarchie

6. 28. 7. 1914 – válka komu?:

a) Srbsku

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Physics

Chapter 7 - Generating Electricity
DC motors convert Electrical Energy into Kinetic Energy. Magnetic Flux is the amount of magnetic field flowing through a given area. The amount of magnetic flux through a surface depends on the magnetic field strength
indicated by the density (spacing) of the field lines and area. Two factors that affect magnetic flux; 1. Area and 2. Magnetic field strength. Faraday's law states that a changing magnetic flux in a conducting loop/coil
induces an EMF(electromotive
...

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economie

waardevermindering =subtotaal * resterende percentage = ... (7271,46*80%=5817,17)

Boekwaarde= totaal bedrag - waardevermindering = .... (8798,47-5817,17= 2981,30)

Oors.vorde excl= totaal bedrag/1,21 (bedrag zonder btw) = 7271,46

ontvangen bedrag excl= stortte.. (996,23) /1,21= ... 823,33

Saldo excl= oorsp vor - ontvangen bedrag = (6448,13) -> als saldo > is dan geboekte waardevermindering = meerwaarde

geboekte waardevermindering excl= 5817,17

meerwaarde/minderwaarde excl= saldo - geboekte

...

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AFM 274 Midterm 1 Cheat Sheet

Q1 PCM.VL (30%D,70%E,rD=5%), FCF=$10M, rE=10% - No Arb
VU = $10M/10%=VL,DL= 0.3*100m=30m, EL=0.7*100m=70m,

Perpetual Return VU=1%*FCF,VL=1*(10-5%*30)+1%*5%*30

PCM except Tc. Q2 Project 1 =10m(50%),P2=22m(brup50%),

rF =10%,Tc20%Lev Recap+Financial Distress FCF=10m*

(1-20%)=8m,Projval=(8m/10%)*0.5+(22m/1.1)*0.5=50m

-> MV BS Assets: Project = 50m, LE: D=0,E=50m

Levered Recap w perp cpn bnds (then repurchase equity w

proceeds). par = 15m, cpn r=10% ITS:DxTcx50% ->

MV BS post-announcement A:

...

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Natieli

Comportamental BEHAVIORISMO, Começa com NETSON mais é com SKINNER que se ganha força, Objetivo do estudo é o COMPORTAMENTO. O'Que é comportamento? São nossas ações nos lugares que vivemos, Comportamento RESPONDENTE ou REFLEXO: É um comportamento automático, involuntário que acontece em resposta a um estímulo específico do ambiente: você não escolhe fazer, acontece automático. ex : pupilas dilatando salivar ao ver comida se arrepiar com o vento. Comportamento OPERANTE: É emitido

...

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Soil24 collage

Soil Properties- soil texture, structure and organict influence detachment and transporation process

Accelerated soil erosion- more rapid erosion than natural or geological erosion unnatural human activities:

Gravitational Erosion -is not as common to watererosion but can cause damageto natural and man-made strucutures

Splash erosion- Raindrops falling on bare soil detach particles and splash them up into the air

Sheet erosion- Soil particles are easily transported in a thin layer or sheet by flowing

...

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wwfew

प्रश्न 1 - बैंहकिं ग क्षेत्र में हहिंदी के प्रयोग किने में उत्पन्न प्रमुख रुकावटें कौन-कौन सी है? इनके समाधान के महत्वपूर्क उपाय हिखे।

परिचय- आधुनिक परिवेश में बैंकिंग क्षेत्र के विभिन्न कार्य

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Medicine

18. Seebohm Rowntree industrial  How he did it: Conducted detailed surveys of poverty in York (early 1900s). Identified ‘poverty line’—the minimum income needed for basic needs. Showed links between poverty, poor health, and low life expectancy.
Short-term impact: Challenged the idea that poverty was due to laziness. Provided evidence that many people were poor through no fault of their own. Pressured government and charities to act. Long-term impact: Influenced development of social welfare

...

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newchit

Implementation of KNN ALGORITHM -LAB PROGRAM

from sklearn.datasets import load_iris

from sklearn.neighbors import KNeighborsClassifier

from sklearn.model_selection import train_test_split

importnumpy as np

# Load the Iris dataset

dataset = load_iris()

# Split the dataset into training and test sets

X_train, X_test, y_train, y_test = train_test_split(dataset.data, dataset.target, test_size=0.2, random_state=0)

print("Training labels:", y_train)

# Initialize and fit the KNN classifier

kn = KNeighborsClassifier(

...

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