Abstract: Providing predictive data predicting data values for a historical dataset. The method facilitates improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data. A user interface is provided to a user. The user interface identifies one or more ancillary datasets. The ancillary datasets are identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset. The ancillary datasets are selectable by the user in the user interface. User input is received at the user interface selecting one or more of the ancillary datasets. A predictive dataset is displayed to the user. The predictive dataset is determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

Abstract: At least one cue can be generated regarding manipulating representations of data. The cue provides information regarding manipulating a first representation of a first set of data with respect to a second representation of a second set of data based on correlations between the first set of data and the second set of data. Among other things, a cue can identify shift direction and distance, scale factor, and correlation strength.

Abstract: Providing predictive data predicting data values for a historical dataset. The method facilitates improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data. A user interface is provided to a user. The user interface identifies one or more ancillary datasets. The ancillary datasets are identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset. The ancillary datasets are selectable by the user in the user interface. User input is received at the user interface selecting one or more of the ancillary datasets. A predictive dataset is displayed to the user. The predictive dataset is determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

Abstract: A method for diagnosing a disease or pathological condition in a non-human animal. An ion mobility spectrometry measurement (IMS) or a differential mobility spectrometry (DMS) is carried out on a body sample from the animal to determine an amount of ions formed by at least two biogenic amines contained in the sample. A ratio is calculated of the amounts of ions formed by the different biogenic amines in the sample, wherein the ratio is indicative of the presence or absence of the disease or pathological condition.

Abstract: The emergency personal portable water purifying apparatus can be used by individuals to purify water that has become contaminated by natural or man-made disasters. The apparatus is lightweight, self-contained, fits on most standard bottlenecks by using an expanding sealing collar integrated into the purifier and needs to extra power supply. The water is forced through the filter by pressure on the sides of the bottle or suction from the mouthpiece. The water purifier has a water inlet with a residue collection area and quick fitting changeable mouthpiece valve on the water outlet. Water is flocculated and large particles, residue and sediments are contained in the particular residue collection area. Water then passes through the micron net to remove remaining particles and is forced through the active carbon chamber via the spiral form to the water outlet.

Abstract: A network traffic analyzer may identify applications transmitting information across a network by analyzing various protocol attributes of the communication. A set of signatures may be created by training a machine learning system using network traffic with and without a specific application. The machine learning system may generate a signature for the specific application, and the signature may be analyzed using a monitoring system to identify the presence of the application's traffic on the network. In some embodiments, a decision tree may be used to detect the application within a statistical confidence. The monitoring system may be used for malware detection as well as other applications.

Abstract: Provided is a method for diagnosing a disease or pathological condition in an animal. An ion mobility spectrometry measurement (IMS) or a differential mobility spectrometry (DMS) is carried out on a body sample from the animal to determine an amount of ions formed by at least two biogenic amines contained in the sample. A ratio is calculated of the amounts of ions formed by the different biogenic amines in the sample, wherein the ratio is indicative of the presence or absence of the disease or pathological condition. Also provided is a device for collecting a body sample from an animal and a method for obtaining a body sample from an animal.

Abstract: A method for diagnosing a disease or pathological condition in a non-human animal. An ion mobility spectrometry measurement (IMS) or a differential mobility spectrometry (DMS) is carried out on a body sample from the animal to determine an amount of ions formed by at least two biogenic amines contained in the sample. A ratio is calculated of the amounts of ions formed by the different biogenic amines in the sample, wherein the ratio is indicative of the presence or absence of the disease or pathological condition.