Abstract: Embodiments of the present application disclose a three-dimensional model generating method and apparatus, and an electronic device. The three-dimensional model generating method includes: performing feature extraction on an aerial three-dimensional model and a ground three-dimensional model of a to-be-modeled object respectively to obtain at least three sets of feature vectors; performing registration on the aerial three-dimensional model and the ground three-dimensional model based on the feature vectors, and determining a first transition area of a fused three-dimensional model; reconstructing a triangular patch of the first transition area to obtain a second transition area; and performing texture filling on the second transition area, and determining a target three-dimensional model of the to-be-modeled object.

Abstract: A device may receive, from a fiber sensor device, sensing data associated with a fiber optic cable, the sensing data being produced by an activity that poses a threat of damage to the fiber optic cable, and the sensing data identifying: amplitudes of vibration signals, frequencies of the vibration signals, patterns of the vibration signals, times associated with the vibration signals, and locations along the fiber optic cable associated with the vibration signals. The device may process, with a machine learning model, the sensing data to determine a threat level of the activity to the fiber optic cable, the machine learning model having been trained based on historical information regarding detected vibrations, historical information regarding sources of the detected vibrations, and historical information regarding threat levels to the fiber optic cable. The device may perform one or more actions based on the threat level to the fiber optic cable.

Abstract: Provided are a drive compensation method and system of a display panel and a display device. The drive compensation method includes: determining at least one of the impedance and capacitive reactance variation curve of a first signal line in a column direction and determining the charge rate variation curve of first pixel units in a row direction; determining the compensation coefficients for a respective pixel unit in the column direction and/or the row direction according to the impedance and capacitive reactance variation curve of the first signal line in the column direction and/or the charge rate variation curve of first pixel units in the row direction; and compensating the compensation coefficients for the respective pixel unit in the column direction and/or the row direction to the drive signal of the respective pixel unit to drive the respective pixel unit.

Abstract: A treatment method for cerebral vasospasm involves determining amounts of let-7b-5p, miR-9-3p, miR-142-3p, miR-15b-5p, miR-17-5p, miR-19b-3p, miR-20a-5p, miR-24-3p, miR-29a-3p, miR-125b-5p, and miR-142-3p in a biological sample obtained from a subject following aneurysmal subarachnoid hemorrhage (aSAH) to identify the subject as having an elevated risk of cerebral vasospasm, and administering a treatment to the subject when the elevated risk of cerebral vasospasm is identified.

Abstract: An apparatus may include a processor configured to store a record of communications with a remote device. The processor may be further configured to calculate one or more values representative of a communication relationship with the remote device over a period of time based at least in part upon the stored record of communications. The processor may be additionally configured to determine a communication relationship pattern based upon the one or more calculated values.

Abstract: An apparatus may include a processor configured to store a record of communications with a remote device. The processor may be further configured to calculate one or more values representative of a communication relationship with the remote device over a period of time based at least in part upon the stored record of communications. The processor may be additionally configured to determine a communication relationship pattern based upon the one or more calculated values.

Abstract: An improved, high-quality Thai text-to-phoneme converter. Syllabification is performed strictly according to the Thai pronunciation rules. Initial vowels, Thai syllable structures, special vowels, leading vowels, syllables with silent marks, unterminated vowels and terminated vowels are used to accurately implement the Thai syllabification. After syllabification, the most probable phonemes are obtained for all of the syllables using a rule-based approach in one embodiment of the invention.