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  2. African swine fever virus - Wikipedia

    en.wikipedia.org/wiki/African_swine_fever_virus

    African swine fever virus (ASFV) is a large, double-stranded DNA virus in the Asfarviridae family. [1] It is the causative agent of African swine fever (ASF). The virus causes a hemorrhagic fever with high mortality rates in domestic pigs ; some isolates can cause death of animals as quickly as a week after infection.

  3. PI3K/AKT/mTOR pathway - Wikipedia

    en.wikipedia.org/wiki/PI3K/AKT/mTOR_pathway

    AKT can have a number of downstream effects such as activating CREB, [2] inhibiting p27, [3] localizing FOXO in the cytoplasm, [3] activating PtdIns-3ps, [4] and activating mTOR [3] which can affect transcription of p70 or 4EBP1. [3] There are many known factors that enhance the PI3K/AKT pathway including EGF, [5] shh, [2] IGF-1, [2] insulin ...

  4. Louvain method - Wikipedia

    en.wikipedia.org/wiki/Louvain_method

    The Louvain method for community detection is a greedy optimization method intended to extract non-overlapping communities from large networks created by Blondel et al. [ 1 ] from the University of Louvain (the source of this method's name).

  5. Protein detection - Wikipedia

    en.wikipedia.org/wiki/Protein_detection

    Three different techniques can be used in raw ground beef: the VIDAS ultraperformance E. coli test (ECPT UP), a noncommercial real-time (RT) PCR method and the U.S. Department of Agriculture, Food Safety and Inspection Service (USDA-FSIS) reference method to detect E. coli O157:H7. 25 g of individual raw beef samples and 375 g of raw beef ...

  6. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    Cahill et al. (2000) design a fraud signature, based on data of fraudulent calls, to detect telecommunications fraud. For scoring a call for fraud its probability under the account signature is compared to its probability under a fraud signature. The fraud signature is updated sequentially, enabling event-driven fraud detection.

  7. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    Wagner et al. developed two object recognition algorithms especially designed with the limitations of current mobile phones in mind. [43] In contrast to the classic SIFT approach, Wagner et al. use the FAST corner detector for feature detection. The algorithm also distinguishes between the off-line preparation phase where features are created ...

  8. Molecular beacon - Wikipedia

    en.wikipedia.org/wiki/Molecular_beacon

    A typical molecular beacon structure can be divided in 4 parts: 1) loop, an 18–30 base pair region of the molecular beacon that is complementary to the target sequence; 2) stem formed by the attachment to both termini of the loop of two short (5 to 7 nucleotide residues) oligonucleotides that are complementary to each other; 3) 5' fluorophore ...

  9. Coincidence detection in neurobiology - Wikipedia

    en.wikipedia.org/wiki/Coincidence_detection_in...

    Coincidence detection is a neuronal process in which a neural circuit encodes information by detecting the occurrence of temporally close but spatially distributed input signals. Coincidence detectors influence neuronal information processing by reducing temporal jitter and spontaneous activity, allowing the creation of variable associations ...