Outrageously Funny Search Suggestion Engine :: Excluding

👉 To bar (someone) from entering; to keep out.

Alright class, settle down now, let’s take a look, At this word ‘excluding,’ a tricky little hook! The dictionary tells us, clear and bright, “To bar someone from entering,” with all its might. It means to keep them out , you see, A wall around their entry – just for they! Think of a party, a joyful spree, But excluding someone? That’s not friendly, see? You're keeping them away, it’s plain to view, So let’s remember, kindness is true. It can be used with things too, you know, Like “Excluding salt” - a recipe show! We leave it out, don't add it in, To change the flavor, again and again. Does that make sense to you? Any questions to share? Don’t hesitate, let’s go over it with care!

👉 Excludingly is a verb that means to exclude something from consideration or interest. It can be used in various contexts, but it's most commonly associated with the act of excluding oneself from something or someone else. Excludingly typically involves not acknowledging or participating in something, often in order to avoid feeling excluded or neglected by others.

excludingly

👉 An excluding fluid, also known as an osmotic barrier or selective permeability membrane, is a type of biological membrane that selectively allows certain substances to pass through while blocking others. This membrane, typically found in cells like those of plants and animals, is composed of a phospholipid bilayer with embedded proteins. Due to its structure, it permits the passage of water and small, non-polar molecules like oxygen and carbon dioxide, but restricts larger ions, polar molecules, and other substances. This selective permeability is crucial for maintaining cellular homeostasis, regulating the internal environment by controlling what enters and exits the cell, and facilitating processes such as nutrient uptake and waste removal.

excluding fluid

👉 An excluding weapon is a type of firearm or ammunition designed to prevent the use of certain weapons by individuals, typically those who are prohibited from owning or using them. This can include weapons like silencers, suppressors, or specialized ammunition that renders other firearms ineffective or unusable. For example, a suppressor might reduce the noise of a gunshot to an inaudible level, making it harder for law enforcement or civilians to detect the weapon's use. Excluding weapons are often used in military, law enforcement, and specialized civilian contexts to ensure compliance with regulations or to enhance operational security.

excluding weapon

👉 Excluding engineering, also known as non-engineering or non-technical engineering, refers to the practice of excluding individuals or groups from certain fields or opportunities based on their lack of technical expertise or engineering background. This can manifest in various ways, such as limiting access to advanced education, professional development, or career advancement in engineering and related industries. Excluding engineering often stems from biases, stereotypes, or systemic barriers that undervalue skills and knowledge outside traditional technical domains. It can result in a lack of diversity, innovation, and inclusivity within these sectors, as well as perpetuate inequalities by denying opportunities to those who might bring unique perspectives and solutions.

excluding engineering

👉 Excluding computing refers to the process of deliberately omitting specific data points, features, or computations from a larger dataset or model to enhance efficiency, reduce complexity, or mitigate biases. This technique is often employed in machine learning to streamline model training by focusing on the most relevant or impactful aspects of the data, thereby improving performance and reducing computational costs. Excluding certain elements can also help in addressing issues like overfitting, where a model performs well on training data but poorly on unseen data, by filtering out noise or irrelevant information. Additionally, excluding specific computations can make models more interpretable and easier to manage, especially in resource-constrained environments. This approach is crucial for balancing model accuracy with practical constraints like time, energy consumption, and data availability.

excluding computing