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Khondalite – Petrographic Notes with Indian Occurrence (8 Marks)
Khondalite is a high-grade metamorphic rock belonging to the gneiss–schist group, composed mainly of quartzo-feldspathic–garnet–sillimanite assemblage with graphite. The term was coined by T. L. Walker (1902) after the Khond tribe of Odisha.
Megascopic Characters
Colour: Brown to greyish brown
Grain size: Medium to coarse grained
Texture: Porphyroblastic (garnet as porphyroblast)
Structure: Schistose to gneissose, well-developed

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kineisciology

1. SKELETAL & ARTICULAR SYSTEM

Anatomical Position

Standing upright, Facing forward, Feet flat, slightly apart, toes forward, Arms at sides, Palms facing forward, thumbs pointing away, This position is the reference point for describing movement.

Terms to Describe Movement

Flexion: Decrease joint angle, Extension: Increase joint angle, Abduction: Movement away from midline, Adduction: Movement toward midline, Plantar Flexion: Pointing toes downward, Dorsiflexion: Bringing toes upward, Supination:

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AI 222

🔹 Intelligence artificielle (IA)

  • L’intelligence artificielle est une technologie qui permet à une machine d’imiter certaines capacités humaines.

  • Elle fonctionne grâce à des algorithmes informatiques.

  • Son but est de faire penser ou agir une machine comme un humain.

  • On l’appelle « artificielle » pour la différencier de l’intelligence humaine naturelle

🔹 Entraînement de l’IA

  • Une IA apprend à partir de grandes quantités de données.

  • Plus les données sont nombreuses

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Pharmacognosy

Alkaloids

- *Definition*: Nitrogen-containing compounds, often basic, found in plants.

- *Classification*: Based on structure (e.g., pyrrolidine, quinoline) or source (e.g., opium, cinchona alkaloids).

- *Chemical Test*:

  - Dragendorff's reagent - Mayer's reagent

Volatile Oils

- *Definition*: Odorous, volatile compounds in plants (e.g., essential oils).

- *Classification*: Terpenes, aldehydes, esters, etc.

- *Chemical Test*:

    - Stain test with Sudan III: Reddish stain.

Tannins

- *Definition*

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eco 5th

*Human Development Index (HDI) is astatistical measure used to judge the overall development of a country, not only by income but also by health and education.HDI is based on three main indicators:

Health

Life Expectancy at Birth

Shows how long people live

Education

Mean Years of Schooling

Expected Years of Schooling

Standard of Living

Measured by Per Capita Income (GNI per capita)

HDI Value Range

HDI value lies between 0 and 1

HDI Value Level of Development
0.800 – 1.000 Very High Human
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CodeSnippets



// Number of ways to make change for amount N using given coin denominations
// Time: O(N * C), Space: O(N) where C = number of coins
staticlongGetNumberOfWays(longN, long[] Coins)
{
long[] ways=newlong[(int)N+1];
ways[0] =1;

for (inti=0; i<Coins.Length; i++)
    {
for (intj=0; j<ways.Length; j++)
        {
if (Coins[i] <=j)
            {
ways[j] =ways[j] +ways[(int)(j-Coins[i])];
            }
        }
    }
returnways[(int)N];
}

// Minimum number of coins needed
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ACV dsCSE

Q1. Explain the concept of image representation and image processing in Computer Vision

In computer vision, image representation is the method of converting a real-world scene into a digital format that a computer can understand and process. A digital image is represented as a two-dimensional function f(x,y)f(x,y)f(x,y), where xxx and yyy denote spatial coordinates and fff represents the intensity value at that location. In grayscale images, each pixel stores a single intensity value, whereas in

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Huyi87uu

UNIT I (b): Transportation, Deposition & Lithification(Sedimentary Petrology – CC VI)1. Recap (Background concepts)Before understanding transportation and deposition, we must recall what happens before sediments move:-1.1 Sedimentary rocks-Formed by accumulation, deposition, and lithification of sediments.-Cover ~75% of Earth’s surface.-1.2 Weathering-Weathering is the breakdown of rocks in situ.(a) Physical weathering-Mechanical disintegration-No chemical change-Produces clastic sediments-

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ACV

Q. Explain the multi-stage architecture of Fast R-CNN and how it improves upon R-CNN.  

Definition:   Region-based Convolutional Neural Network 
Fast R-CNN is an object detection algorithm that improves R-CNN by using a single CNN and a multi-stage training architecture for faster and more accurate detection.

Multi-stage Architecture of Fast R-CNN

Fast R-CNN works in the following stages:

Input Image
– The whole image is given as input once.

Shared Convolutional Layers
– A single CNN extracts

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