Abstract: Systems and methods of the present invention may relate to prediction of a mental health score, representing a mental condition of a speaker. Embodiments of the invention may analyze speech by receiving an audio data element representing a discussion; extracting a first set of audio segments pertaining to speech of a first speaker in the discussion; analyzing the first set of audio segments to produce a set of audio features; and applying a machine-learning (ML) model on the set of audio features, to predict a mental health score, representing a mental condition of the first speaker. Embodiments of the invention may provide technical means for supporting psychiatric assessment of mental disorders such as depression and anxiety in an automatic, nondisruptive manner, e.g., without direct patient's collaboration, thereby increasing validity of the assessment.

Abstract: A hydroelectric power generation system includes at least one conduit extending from beneath the sea surface a predetermined depth into the ground below the sea floor level, a turbine connected to an underground distal end of each of the at least one conduit, and an underground reservoir to collect seawater flowing down through the at least one conduit and the connected turbine. The hydroelectric power generation system may be part of a distributed hydroelectric power generation system which includes a plurality of hydroelectric power generation systems, the distributed hydroelectric power generation system additionally including an underground reservoir to collect seawater flowing down through all of the conduits and connected turbines in the plurality of hydroelectric power systems.

Abstract: A hydroelectric power generation system includes at least one penstock extending through the sea floor a predetermined depth into the ground below the sea floor, a turbine connected to an underground distal end of each of the at least one penstock, and an underground reservoir to collect seawater flowing down through the at least one penstock and the connected turbine. The hydroelectric power generation system may be part of a distributed hydroelectric power generation system which includes a plurality of hydroelectric power generation systems, the distributed hydroelectric power generation system additionally including an underground reservoir to collect seawater flowing down through all of the penstocks and connected turbines in the plurality of hydroelectric power systems.

Abstract: The present disclosed subject provides Big Data analytics for various fields such as, quality assurance, event probabilities, statistical process control (SPC), finance, e-commerce, insurance and additional bio-informatics applications. The method utilizes “Big Data” analysis to rapidly and accurately calculate the probabilities of certain “TYPES”, which include, for example sets of objects, traits, events, and the like.

Abstract: A method of estimating a likelihood of developing a disease is disclosed. The method comprises obtaining a set of gene sequences corresponding to the disease and a DNA sequence of a subject. The method further comprises, for each gene sequence of the set, searching over the DNA sequence for reoccurrences of the gene sequence, and calculating an average reoccurrence distance between adjacent reoccurrences of the gene sequence. The method further comprises estimating the likelihood of the subject to develop the disease, based on the calculated distances.

Abstract: A system for lossy compression of digital data for transmission to a remote location or to a storage medium and subsequently reconstructing the digital data includes an encoder which compares sequences of characters with an encoder database of data records to generate a compressed code. The compressed code includes pointer information relating to locations within the encoder database of data records corresponding within a given average distortion tolerance level per character to the sequences, and update information for the addition to the encoder database of new data records corresponding within the average distortion tolerance level per character to the sequences. The system also includes a decoder for receiving the compressed code, the receiver processing the compressed code to substantially reconstruct the digital data.

Abstract: A system for lossy compression of digital data for transmission to a remote location or to a storage medium and subsequently reconstructing the digital data includes an encoder which compares sequences of characters with an encoder database of data records to generate a compressed code. The compressed code includes pointer information relating to locations within the encoder database of data records corresponding within a given average distortion tolerance level per character to the sequences, and update information for the addition to the encoder database of new data records corresponding within the average distortion tolerance level per character to the sequences. The system also includes a decoder for receiving the compressed code, the receiver processing the compressed code to substantially reconstruct the digital data.

Abstract: A vehicle navigation system comprises a magnetic-field sensor mounted on the vehicle and outputting electrical signals corresponding to the measured azimuth of the vehicle, an analog-to-digital converter, and a microcomputer including a storage device having a stored look-up table of correction factors for various azimuth positions of the vehicle and a processor programmed to compute the true azimuth values from the measured values and the stored look-up table. The invention is particularly useful for vehicles, such as tanks, having two relatively movable parts, such as the tank hull and the turret, in which case the system includes two of the magnetic-field sensors, each mounted on one of these parts, and the storage device has stored therein two look-up tables each in the form of a matrix of correction factors for the various azimuth positions of each movable part.