Abstract: Described herein are methods and compositions for genomic editing. Endonucleases for genomic editing involve inducing breaks in double stranded DNA, for which knock-ins are notoriously inefficient for relying on random integration of homologous DNA sequences into the break site by repair proteins. To address these issues, described herein are novel recombinant fusion proteins that actively recruit linear DNA inserts in closer proximity to the genomic cleavage site, increasing integration efficiency of large DNA fragments into the genome. Such improvements to genomic editing technology allow one to use lower linear DNA concentrations without sacrificing efficiency and can be further combined with other features, such as fluorescent protein reporting systems.

Abstract: Described herein are methods and compositions for genomic editing. Endonucleases for genomic editing involve inducing breaks in double stranded DNA, for which knock-ins are notoriously inefficient for relying on random integration of homologous DNA sequences into the break site by repair proteins. To address these issues, described herein are novel recombinant fusion proteins that actively recruit linear DNA inserts in closer proximity to the genomic cleavage site, increasing integration efficiency of large DNA fragments into the genome. Such improvements to genomic editing technology allow one to use lower linear DNA concentrations without sacrificing efficiency and can be further combined with other features, such as fluorescent protein reporting systems.

Abstract: Described herein are methods and compositions for genomic editing. Endonucleases for genomic editing involve inducing breaks in double stranded DNA, for which knock-ins are notoriously inefficient for relying on random integration of homologous DNA sequences into the break site by repair proteins. To address these issues, described herein are novel recombinant fusion proteins that actively recruit linear DNA inserts in closer proximity to the genomic cleavage site, increasing integration efficiency of large DNA fragments into the genome. Such improvements to genomic editing technology allow one to use lower linear DNA concentrations without sacrificing efficiency and can be further combined with other features, such as fluorescent protein reporting systems.

Abstract: A method for screening fiber polarization mode dispersion using a polarization optical time domain reflectometer. A pulse radiation is emitted into the fiber under test, and the backscattered radiation is measured by the POTDR and used to obtain a POTDR trace. A composite trace of more than one POTDR trace is obtained. The composite trace is then analyzed to compare the variation of signals along the length of the fiber, the variation in signals relating to the level of PMD along the length of the fiber. Because high levels of PMD correspond to localized levels of low variability, by setting the variability of signal threshold sufficiently low, fibers having unacceptably high localized PMD can be identified and removed.

Abstract: A meal data object is generated by a user, where the meal data object includes recipes and food items. The meal data object may more specifically include a description and a meal type for the meal data object. For each recipe of the meal data object, the meal data object may include a description, a dish type, and/or a meal part for the recipe. The meal data object may also include a description for each food item. The meal data object is published so that it is viewable by other users. The users can navigate the meal data objects to select desired meals. A shopping list for the food items of the meal data object can be generated, such that each food item is listed once in the shopping list regardless of the number of recipes of the meal data object within which the food item is present.

Abstract: Determining similarity among recipes is disclosed. A computer-implemented method of one embodiment of the invention receives a first recipe. The method determines one or more second recipes that are similar to the first recipe, and then outputs the one or more second recipes. The second recipes may be determined as being similar to the first recipe based on one or more different factors in one embodiment. Such factors may include: a weighted ingredient coefficient; a weighted same-type coefficient taking into account whether recipes are of the same type; a weighted same-title words coefficient taking into account the extent to which non-common title words of one recipe are also within the titles of other recipes; a weighted shared-keywords coefficient taking into account shared keywords among recipes; and, a weighted shared-ingredients coefficient taking into account the extent to which ingredients are shared among recipes.