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There are five classes of food, out of this five only two provides energy; these are carbohydrate and fat and oil. Out of these two, carbohydrate provides the most energy for the body in the shortest time. This is the reason why glucose, which is the end product of carbohydrate is normally given to sport men during games.
Answer:
Humoral immunity involves <u>B cells</u> and<u> recognize antigens or pathogens in the lymph or blood.</u>
Explanation:
Humoral immunity is defined as the immunity which is mediated by several macromolecules presnet in the extracellular fluids such as antibodies, certain antimicrobial peptides, and complement proteins.
Humoral immunity allows to distinguishes two groups of foreign substances. it involves <u>B cells</u> and<u> recognize antigens or pathogens in the lymph or blood. </u>
Humoral immunity begins when an antigens bind to B cells. Interleukins or helper T cells provides a secondary signal to the B cells that activates a B cell and allows B cell proliferation. which roduces produce plasma cells. The plasma cell then produces antibodies which are identical to the specific antigen. The antibodies are the released and circulate through the body, binding to antigens. B cells the further produces memory cellss for future immunity.
So, Humoral immunity involves <u>B cells</u> and<u> recognize antigens or pathogens in the lymph or blood.</u>
Answer:
Ionic compounds are ion compounds. These ions are atoms that gain or lose electrons, resulting in a net positive or negative charge. Metals tend to lose electrons, so they have a net positive charge and become cations. Non-metals tend to gain electrons, creating a net negative charge of anions.
Explanation:
Category of AI that attempts to emulate the way the human brain works neural network.
A neural network is a biological neural network made up of biological neurons or an artificial neural network used to solve artificial intelligence (AI) problems.
Artificial neural networks model biological neuron connections as weights between nodes. An excitatory link is represented by a positive weight, whereas an inhibitory connection is represented by a negative weight. Each input is given a weight before being added together.
These artificial networks can be applied to adaptive control, predictive modelling, and other tasks where a dataset can be utilised to train them.
To learn more about artificial intelligence, refer this link brainly.com/question/28448080
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