The term radical connectivity describes the ability to send vast amounts of data instantly, constantly, and globally.
The definition of radical connection is the transfer of authority or information from institutions to the people. The phrase "Radical Connectivity," coined by social media pioneer Nicco Mele, describes the amazing ability to communicate vast amounts of data or information quickly, globally, and continuously.
The act of transferring messages from one party to another party using spoken words, body language, written words, or signs is known as communication. The act of communicating involves many different steps, including understanding, sharing, and meaning. Radical connection necessitates putting the disadvantaged, excluded, and behind-the-curve in the center.
We all have the chance to heal and advance more forcefully toward equity when we put the needs of communities that have been neglected front and center and acknowledge the harm and suffering that has been imposed upon them.
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The appropriate response is stop sign. Discriminative stimulus is a term utilized as a part of traditional molding as a piece of the procedure known as operant molding. A discriminative boost is a kind of jolt that is utilized reliably to pick up a particular reaction and that expands the likelihood that the coveted reaction will happen.
Answer:
This is related to a <em>Greenhouse Gases Emissions Report</em> published by the <em>"Innovation Center for US Dairy"</em> in 2010, which was a multy-party effort to identify and determine good and sustainable business practices; the study found that aproximatelly 190 billion pounds of milk produced by USA dairy industry (the largest worldwide), contributed to a <em>2%</em> of the total US GHG emissions. Thus the answer is <em>"two percent"</em>.
Answer:Positive correlation
Explanation:
What Is Positive Correlation?
Positive correlation refers to a relationship that exist between two variables in such that they tend to move towards the same direction, in such that one one variable increases the other also increases and also when the other variable decreases the other one also decreases.
Statistically a great positive correlation is shown by a coefficient value of +1.0, whereas when there is no correlation that is shown by 0 and perfect inverse is shown by -1.0 coefficient. The vital thing to take note of is that this doesn't mean causation , which means it doesn't mean that the other variable is the direct cause of changes in the other variable. Positive correlation just means the two variables tend to behave the same way percentage and direction wise. For example this can be seen when teh price of the product is changed like when the demand increases the price also rises.
When people increase their food intake their weight scores tend to increase and when they decrease their food intake their weight scores tend to decrease however we know there are so many things that can increase weight gain not food itself but these two tends to move towards the same direction and percentage.
