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2796 14714 Ensembl ENSG00000147437 ENSMUSG00000015812 UniProt P01148 P13562 RefSeq (mRNA) NM_001083111 NM_000825 NM_008145 RefSeq (protein) NP_000816 NP_001076580 NP_032171 Location (UCSC) Chr 8: 25.42 – 25.42 Mb Chr 14: 67.98 – 67.99 Mb PubMed search Wikidata View/Edit Human View/Edit Mouse Gonadotropin-releasing hormone (GnRH) is a releasing hormone responsible for the release of ...
Random assignment or random placement is an experimental technique for assigning human participants or animal subjects to different groups in an experiment (e.g., a treatment group versus a control group) using randomization, such as by a chance procedure (e.g., flipping a coin) or a random number generator. [1]
A solution is an assignment from items to bins. A feasible solution is a solution in which for each bin the total weight of assigned items is at most . The solution's profit is the sum of profits for each item-bin assignment. The goal is to find a maximum profit feasible solution.
This algorithm may yield a non-optimal solution. For example, suppose there are two tasks and two agents with costs as follows: Alice: Task 1 = 1, Task 2 = 2. George: Task 1 = 5, Task 2 = 8. The greedy algorithm would assign Task 1 to Alice and Task 2 to George, for a total cost of 9; but the reverse assignment has a total cost of 7.
Chained assignments are equivalent to a sequence of assignments, but the evaluation strategy differs between languages. For simple chained assignments, like initializing multiple variables, the evaluation strategy does not matter, but if the targets (l-values) in the assignment are connected in some way, the evaluation strategy affects the result.
The indirection pattern supports low coupling and reuses potential between two elements by assigning the responsibility of mediation between them to an intermediate object. An example of this is the introduction of a controller component for mediation between data (model) and its representation (view) in the model-view-controller pattern.
The Hungarian method is a combinatorial optimization algorithm that solves the assignment problem in polynomial time and which anticipated later primal–dual methods.It was developed and published in 1955 by Harold Kuhn, who gave it the name "Hungarian method" because the algorithm was largely based on the earlier works of two Hungarian mathematicians, Dénes Kőnig and Jenő Egerváry.
bright red blood (color is important as an indicator of source, for example in gastrointestinal bleeding) BRBPR: bright red blood per rectum: BRCA1 (gene) BRCA1 (protein) breast cancer 1 (a human gene and its protein) BRCA2 (gene) BRCA2 (protein) breast cancer 2 (a human gene and its protein) BRP: bathroom privileges: BRTO