Hinduism

Hinduism is one of the world's major religions and the dominant religion in the South Asian subcontinent. It encompasses a variety of different traditions, beliefs, and practices, forming a broad daily ethic. Hinduism is mostly distributed in India, making it a regional religion. As an all-encompassing complex, it is both a religion and a way of life.

Core Beliefs

Hinduism emphasizes the eternal nature of the human soul and the concept of reincarnation. It teaches that karma, the law of cause and effect, influences the cycle of birth, death, and rebirth. Through spiritual practices and righteous living, individuals strive for liberation (moksha) from this cycle.

Buddhism

tells us that we must transcend ourselves and learn to create new... Continue reading "Hinduism and Buddhism: A Comparison" »

Qin Shihuang: China's First Emperor

The unification of the Central Plains by Qin Wang (Ying Zheng) occurred between 230 BCE and 221 BCE, culminating in the defeat of the six major vassal states. This reunification ended centuries of conflict among warring princes, fostering stability and establishing the Qin Dynasty (221–206 BCE)—the first unified, multi-ethnic feudal state in Chinese history.

Upon unification, Qin Shihuang (meaning "First Emperor") created a far-reaching imperial system. He established the Sangong and Jiuqing system for the central government and promoted the Commandery and Prefecture (County) system locally, significantly strengthening centralization.

Standardization and National Unity

Emperor Qin Shihuang implemented crucial... Continue reading "The Rise and Fall of the Qin Dynasty (221–206 BCE)" »

Optimization Problem and LP Relaxation

The objective function for an optimization problem is: Min 3x – 2y, with constraints x ≥ 0, y ≥ 0. x and y must be integers. Suppose that the integer restriction on the variables is removed. If so, this would be a familiar two-variable linear program; however, it would also be an example of an LP relaxation of the integer linear program.

Integers in Linear Programs

Integers cannot be used in linear programs.

• False

Simple Linear Regression Model

In a simple linear regression model, y = b0 + b1x + eb1, b1 represents the intercept.

Time Series Recurring Pattern

A time series that shows a recurring pattern over one year or less is said to follow a cyclical pattern.

Binary Integer Program Variables

In binary integer... Continue reading "Fundamentals of Optimization and Statistical Modeling" »

Jim Nolan's Journey in 'In Dubious Battle'

From Despair to Purpose

Jim Nolan, a young man disillusioned with life, finds a sense of purpose in joining the Communist Party. He believes that working for a cause greater than himself will re-energize him.

The Power of Purpose

Jim's decision to join the Party is a rejection of the purposeless existence he has witnessed among the working poor. He seeks a life of meaning and worth.

Loss of Identity

Jim's transformation into a Party man comes at a cost. He willingly surrenders his individuality to become one with the cause. This loss of identity is symbolized by his facial wound, which robs him of his most personal feature.

Beyond Humanity

By giving up his personal identity, Jim becomes something beyond human.... Continue reading "Jim Nolan's Transformation: From Despair to Purpose in 'In Dubious Battle'" »

• Modes of International Business

  • Merchandise Exports & Imports

-This is the most common mode of international business.

-Merchandise exports and imports are tangible products. They can be seen leaving and entering a country.

• • Services Exports & Imports

They are international non-product sales and purchases.

• • • Tourism and Transportation:

Are important sources of revenue for airlines, shipping companies, travel agencies, and hotels.

• • • Performance of Services

This refers to company's earnings in the form of fees (payments for the performance of a service).

1. Turnkey Operation

Is a deal where a company takes all responsibility for constructing, fitting and staffing a building (such as a school, hospital or factory) so that it is completely ready for the purchaser... Continue reading "Modes of International Business and Investment" »

Essential English Phrasal Verbs

Improve your English fluency by learning these common phrasal verbs, complete with their past simple and past participle forms, and Spanish translations. Understanding these verbs is crucial for natural communication.

Go on

• Past Simple: Went on
• Past Participle: Gone on
• Meaning: Partir / continuar

Carry on

• Past Simple: Carried on
• Past Participle: Carried on
• Meaning: Continuar

Carry out

• Past Simple: Carried out
• Past Participle: Carried out
• Meaning: Realizar

Come back

• Past Simple: Came back
• Past Participle: Come back
• Meaning: Volver

Come down

• Past Simple: Came down
• Past Participle: Come down
• Meaning: Descender

Come in

• Past Simple: Came in
• Past Participle: Come in
• Meaning: Entrar

Come out

• Past Simple: Came out
• Past Participle: Come out
• Meaning:

Linguistic Definitions: Phonology, Morphology, Syntax, Semantics, and Pragmatics

Phonology: The study of the sound system of a particular language.

Morphology: The study of the form and formation of words in a particular language, including the arrangement of sounds into minimal meaningful units (morphemes) and the classification of words into parts of speech.

Syntax: The study of how words are arranged into higher units, such as phrases, clauses, and sentences, focusing on word order.

Semantics: The study of meaning.

Pragmatics: The study of language in use, including the function of language in its social context, covering a wide range of topics.

Implicature and Grammaticalization

Implicature: What the speaker means or implies rather than what he... Continue reading "Understanding Linguistics: Phonology, Morphology, Syntax & Semantics" »

Singapore Taxable Benefits

• Accommodation: Fully taxable till YA2019
• Furniture & Fittings: Partially taxable
• Company car: Taxable based on cost and usage
• Rental: Interest deductible, royalties taxable
• Premium: Taxable

Non-Taxable Benefits

• Profits from operation of Singapore ships
• Interest from approved banks and finance companies
• Singapore dividends, CPF withdrawals, Government pensions
• Various distributions and annuities
• Overseas income of individuals

Allowable Deductions

• Interest, Rent, Repairs, Salaries, CPF, Medical expenses
• Professional fees, Foreign exchange loss

Special Deductions

• Patenting cost, R&D, Renovations, Trade fair participation
• Royalty payments, PHV & taxi deductions

Capital Allowances

• Depreciation rules and allowances for equipment
• Replacement

Biology 105/106: Exam 1 Study Material

This document outlines key concepts for Biology 105/106 Exam 1, covering fundamental principles of science, life, cells, metabolism, and energy, along with essential lab topics.

Chapter 1: The Scientific Process

• Science as a Process:
  1. Observation: Noticing phenomena.
  2. Question: Forming a formal hypothesis.
  3. Hypothesis: A testable explanation for an observation.
  4. Experimentation: Testing the hypothesis.
  5. Data Analysis: Drawing conclusions from results.
  6. Communication: Sharing findings and restarting the process with new questions.
• Hypothesis vs. Prediction: Understand the distinction.
• Experiments:
  • Controls: Elements kept constant to ensure valid results.
  • Variables:
    • Independent Variable: The factor manipulated by the experimenter.

Configuración Inicial de Tidyverse

install.packages("tidyverse")
library(tidyverse)
mpg

Generamos un gráfico de dispersión básico utilizando los datos mpg:

ggplot(data=mpg)+geom_point(mapping=aes(x=displ,y=hwy))

Gráficos Estéticos en ggplot2

La Propiedad Estética es una propiedad visual que consiste en incluir otras variables como tamaño, forma y color en el gráfico, mapeándolas dentro de aes().

Mapeo de Variables a Estéticas

ggplot(data=mpg)+geom_point(mapping=aes(x=displ,y=hwy,color=class))
ggplot(data=mpg)+geom_point(mapping=aes(x=displ,y=hwy,size=class))
ggplot(data=mpg)+geom_point(mapping=aes(x=displ,y=hwy,alpha=class))
ggplot(data=mpg)+geom_point(mapping=aes(x=displ,y=hwy,shape=class))

Uso de Facetas para Subdividir Gráficos

Las facetas... Continue reading "Mastering Data Visualization with ggplot2 Aesthetics and Geoms" »