A method for detecting a fault injection in a circuit, wherein a bit pattern is mixed in a bit stream originating from a noise source and the presence of this pattern is detected in a signal sampled downstream of the mixing.

A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome functional features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Described are techniques governing the glycemic ranges that are applied and governed in the meter so the user is not required to understand or know the editing rules in order to use or set up the meter. These guiding principles will come into effect each time the user chooses to edit the ranges. There will be appropriate warning messages to inform the user if the user does not set the ranges correctly.

A method for at least one of characterizing, diagnosing and treating a neurological health issue in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the neurological health issue based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the neurological health issue; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, are disclosed. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In accordance with one embodiment of the invention, incomplete genetic data is acquired from embryonic cells, fetal cells, or cell-free fetal DNA isolated from the mother's blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and/or genetic data taken from other related individuals.

A dynamic reference is presented that utilizes population level information to improve reference-based alignment to detect novel, deleterious, or functional variants in clinical sequencing applications. An automatically updated database of known genetic variants is provided to a memory connected with an integrated circuit configured for genetic sequence data with the dynamic reference and reference variants.

Devices that include multi-reservoir infusion devices and systems for dispensing compositions for the treatment of subjects with an amylin agonist (e.g., the amylin agonist analog, pramlintide), wherein amylin agonists are administered in certain differential bolus and basal ratios to an administered insulin, as well as methods, compositions, and kits and articles of manufacture comprising said compositions for use in the treatment of responsive patients with an amylin and an insulin in ratios thereof that are distinct for bolus and basal administration.

An area of research in the field of bioinformatics deals with the identification of similarities within one, or between two DNA sequences. Current techniques are quite slow and many matches are missed. The invention provides a faster and more sensitive solution, by using optimized spaced seeds to perform these biological sequence homology searches. Various techniques are shown for identifying seeds which are optimized to improve the sensitivity or speed of the searching. In the preferred embodiment, optimized spaced seeds are determined by the parameters of the search and independent of the actual databases being searched (for example, using the length and weight of the spaced seed, as well as the probability of a hit in a similar region). Thus, these optimized seeds can be stored in libraries which are accessed as required.

Illustrative embodiments of systems and methods for the deductive multiscale simulation of macromolecules are disclosed. In one illustrative embodiment, a deductive multiscale simulation method may include (i) constructing a set of order parameters that model one or more structural characteristics of a macromolecule, (ii) simulating an ensemble of atomistic configurations for the macromolecule using instantaneous values of the set of order parameters, (iii) simulating thermal-average forces and diffusivities for the ensemble of atomistic configurations, and (iv) evolving the set of order parameters via Langevin dynamics using the thermal-average forces and diffusivities.

A pseudorandom binary sequence having a first sampling rate is generated. Based on the pseudorandom binary sequence, a digital filter generates a spectrally shaped pseudorandom binary sequence having a second sampling rate. The second sampling rate is equal to the first sampling rate multiplied by an integer upsampling factor of L>1. The digital filter includes L filter branches consisting of a first subset of one or more filter branches and a second subset of one or more filter branches. Each filter branch of the first subset generates a binary output which is equal to an input of the filter branch. Each filter branch of the second subset generates a binary output which is inverted with respect to an input of the filter branch.