"Multipartism" Pronounce,Meaning And Examples
"Multipartism" Natural Recordings by Native Speakers
"Multipartism" Meaning
Multipartism refers to a system of governance or politics where multiple parties or factions share power and representation in a government. This can include coalitions or alliances between different parties, or a system where multiple parties have seats in a legislature.
"Multipartism" Examples
Multipartism Examples
In the recent election, we saw a significant shift towards multipartism as numerous parties emerged, giving citizens more options and allowing for more diverse representation in government.
The introduction of proportional representation systems has led to a rise in multipartism, allowing smaller parties to gain more traction and influence in the political arena.
The country's history of multipartism has allowed it to maintain a stable democracy, as voters have a range of choices and can hold parties accountable for their actions.
The lack of multipartism in some countries has led to the dominance of a single party, allowing them to manipulate the political system to their advantage.
The scholars' study on multipartism revealed that countries with a high degree of party competition and government responsiveness tend to have better economic outcomes and higher levels of citizen satisfaction.
"Multipartism" Similar Words
Multinomial
Multinormal
Multinormal is a term derived from the fields of multivariate statistics and probability theory. In essence, it refers to a multivariate normal distribution, which is a statistical concept that describes the joint behavior of multiple continuous random variables. <br><br>In a multivariate normal distribution, each variable (or feature) is normally distributed, and the relationships between these variables are modeled as multivariate normal distributions. This statistical concept is crucial in many areas, including data analysis, machine learning, engineering, and social sciences. It provides a powerful tool to understand complex phenomena and make predictions by analyzing the relationships between multiple variables.<br><br>In practical terms, a multivariate normal distribution is a way to capture the interactions and correlations between multiple variables, which is particularly useful in real-world applications where complex data often involves multiple variables.
Multinucleate
Multinucleate refers to a cell or organism that has multiple nuclei, as opposed to single-celled organisms that have only one nucleus. In other words, multinucleate cells or organisms have multiple nucleoli, each containing their own set of genetic material, allowing for coordinated functions and greater complexity. This term is commonly used in biology, especially in the study of cells, tissues, and organisms.
Multinucleated
Multinucleation
Multiparity
Multiparous
Multiparticulate
Multiparty
Having or involving more than two parties or groups, especially in politics or negotiations.
Multipath
Multipath refers to a phenomenon that occurs in digital communication systems, particularly in wireless and wired networks, where a signal is transmitted and received through multiple paths or routes. This can happen due to various factors, such as reflective surfaces, obstacles, or the inherent properties of the transmission medium. As a result, the received signal becomes distorted, causing errors, delays, and signal strength fluctuations. In telecommunications, multipath interference is a common issue that can affect the quality and reliability of communication systems, such as Wi-Fi networks, Bluetooth devices, and satellite transmissions. To mitigate multipath effects, various techniques are employed, including signal processing algorithms, frequency hopping, and diversity techniques.
Multipathing
Multiped
Multipedal
Multipede
Multipennate
A rare one!<br><br>Multipennate refers to something that has multiple quills or feathers shafts. In anatomy, it is used to describe a muscle with multiple tendons or fascicles. It can also be used in a more figurative sense to describe an idea or concept with multiple aspects, implications, or branches.