Abstract: A machine learning (ML) computer model is trained on a dual-modal input sequence comprising target content data and an input user query specifying attributes for locating a portion within the target content data. The ML computer model is trained to process the dual-modal input sequence and output an output text specifying start and end indices, within the target content data, corresponding to the portion. Runtime content data, and a user spoken query, are received and the runtime content data and user spoken query are processed via the trained ML computer model to generate an output text specifying a predicted beginning index and predicted ending index within the runtime content data. The portion of the runtime content data corresponding to a range of runtime content data bounded by the beginning index and ending index, inclusively, is retrieved and stored for later retrieval and processing.

Abstract: A method for tapping a yield potential of Saccharum officinarum by controlling a time of plastic mulching is provided. The method includes: (1) plastic mulching: mulching a Saccharum officinarum furrow in a Saccharum officinarum field fully with a wide plastic film in a direction parallel to the Saccharum officinarum furrow, and covering the plastic film directly above the Saccharum officinarum furrow with soil with a certain thickness along the Saccharum officinarum furrow, such that the plastic film is tightly attached to soil in the Saccharum officinarum furrow; (2) control of the time of plastic mulching, and (3) plastic film recycling treatment. The method of the present disclosure is advanced, practical, easy to operate, and easy to promote.

Abstract: An electrophysiological mapping catheter device (10) includes a catheter, an adjusting handle device, electrodes, and a connector. The catheter includes an adjusting tube and a plurality of branch tubes. Two ends of each branch tube are respectively a connection end and a detection end. The detection ends are arranged in a staggered manner. The electrodes are respectively disposed on the detection ends, and the connection ends are connected to the adjusting tube. The adjusting tube is connected to the adjusting handle device. The adjusting handle device is capable of adjusting a bending angle of the adjusting tube. The connector is disposed on the adjusting handle device and is electrically connected to the electrodes. The connector is further configured to be connected with an electrophysiological system for transmitting electrical signals detected by the electrodes.

Abstract: The disclosure provides products and methods of treating diseases and disorders involving microbial pathogens, such as intestinal microbial pathogens, e.g., Pseudomonas aeruginosa, by administering an effective amount of a phosphorylated polyethylene glycol compound of defined structural organization. Those diseases and disorders characterized by an epithelium attacked by a microbial pathogen are contemplated, including gastrointestinal infections and inflammation, e.g., treatment of intestinal or esophageal anastomosis or treatment or suppression of anastomotic leakage.

Abstract: The present invention discloses a 3D touch control-based automobile seat adjustment switch, including an insulating cover plate, a touch sensor, a base, a feedback module, a circuit board, and a module assembly cover plate. A plurality of protruding or recessed touch control regions are arranged on the insulating cover plate. A plurality of independent touch sensors are attached to the plurality of touch control regions on the insulating cover plate, to form a 3D touch assembly, and the plurality of touch sensors are all connected to the circuit board. The circuit board is assembled on the module assembly cover plate, the module assembly cover plate and the feedback module are assembled on one surface of the base, the feedback module is connected to the circuit board, and an other surface of the base is assembled on the insulating cover plate.

Abstract: The disclosure provides products and methods of treating diseases and disorders involving microbial pathogens, such as intestinal microbial pathogens, e.g., Pseudomonas aeruginosa, by administering an effective amount of a phosphorylated polyethylene glycol compound of defined structural organization. Those diseases and disorders characterized by an epithelium attacked by a microbial pathogen are contemplated, including gastrointestinal infections and inflammation, e.g., treatment of intestinal or esophageal anastomosis or treatment or suppression of anastomotic leakage.

Abstract: Embodiments of the present disclosure provide a limited-level picture detecting method, a limited-level picture detecting apparatus, a display device and a readable storage medium. The limited-level picture detecting method includes: carrying out soft decoding on a video source to be played in a limited mode, to obtain picture frame data of the video source; analyzing the picture frame data using a pre-established restriction characteristic model, and acquiring frame data having a limited-level image in the picture frame data; and outputting, after performing the mosaic treatment on the limited-level image of the frame data, the picture frame data of the video source.

Abstract: New thermoelectric materials, such as Mg3Bi2-based Zintl phase compounds are described, where the semi-metallic Mg3.2Bi2 show an unexpectedly large Seebeck coefficient at 350 K and enhanced thermoelectric performances.

Abstract: An optical network device with abnormal light emission detection includes an optical transceiver circuit and a control circuit. The optical transceiver circuit receives a transmission signal. The control circuit enables the optical transceiver circuit according to the transmission signal, so that the optical transceiver circuit outputs an optical signal. The optical transceiver circuit outputs a status signal according to whether or not the optical transceiver circuit outputs the optical signal. The status signal triggers an interrupt system of the control circuit. The interrupt system is provided with a counter to count a light emission duration of the optical transceiver circuit. When the light emission duration is greater than a preset value, the control circuit stops the optical transceiver circuit from outputting the optical signal.

Abstract: An optical network device with abnormal light emission detection includes an optical transceiver circuit and a control circuit. The optical transceiver circuit receives a transmission signal. The control circuit enables the optical transceiver circuit according to the transmission signal, so that the optical transceiver circuit outputs an optical signal. The optical transceiver circuit outputs a status signal according to whether or not the optical transceiver circuit outputs the optical signal. The status signal triggers an interrupt system of the control circuit. The interrupt system is provided with a counter to count a light emission duration of the optical transceiver circuit. When the light emission duration is greater than a preset value, the control circuit stops the optical transceiver circuit from outputting the optical signal.

Abstract: The disclosure relates to a chemical ablation apparatus for treating arrhythmia, comprising: a clamp body, a clamp head consisting of a pair of clamp jaws, a needle head assembly, a needle head extension and retraction control assembly, pipeline components, and an electrocardiographic mapping component. The chemical ablation apparatus can control needle heads to extend out of or retract into the clamp head by means of the needle head extension and retraction control assembly. A chemical ablation reagent may be injected to a cardiac muscle tissue to conveniently achieve complete ablation of the cardiac muscle tissue by applying a chemical ablation method. The ablation effect can be verified by the electrocardiographic mapping system, to thereby increase the success rate and lower the difficulty level of arrhythmia ablation operations, while also reducing the manufacturing cost of the ablation apparatus and corollary equipment thereof, and decreasing the expenses for atrial fibrillation surgical operations.

Abstract: A computer-implemented method for preventing vulnerable files from being opened may include (1) registering a security application as a universal file opener, (2) receiving, at the security application, a request to open a file, (3) identifying at least one other application on the computing device that is capable of opening the file, (4) determining, based on a security analysis, that there is a security risk in opening the file with the other application that is capable of opening the file, and (5) preventing the other application that is capable of opening the file from opening the file. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosure provides products and methods of treating diseases and disorders involving microbial pathogens, such as intestinal microbial pathogens, e.g., Pseudomonas aeruginosa, by administering an effective amount of a phosphorylated polyethylene glycol compound of defined structural organization. Those diseases and disorders characterized by an epithelium attacked by a microbial pathogen are contemplated, including gastrointestinal infections and inflammation, e.g., treatment of intestinal or esophageal anastomosis or treatment or suppression of anastomotic leakage.

Abstract: A method for detecting malicious software is described. In one embodiment, the method includes identifying an unknown application on mobile device, identifying a package name of the unknown application, analyzing the package name of the unknown application in relation to package names of one or more categorized applications, and determining a likelihood the unknown application includes malware based at least in part on analyzing the package name of the unknown application.

Abstract: A computer-implemented method for detecting malware using machine learning may include (1) identifying data to be analyzed for malware, (2) classifying, using a classifier created by a combination of at least one deep learning neural network and at least one supervised data mining method, the data to be analyzed for malware, (3) determining, based on a predefined threshold, that the classification of the data indicates potential malware on the computing device, and (4) performing a security action based on the determination of potential malware on the computing device. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The present disclosure relates to systems and methods for detecting malware. In some embodiments, a method may include detecting, via a processor, a user login event at an application; dynamically comparing, via the processor, the user login event with one or more expected behaviors associated with the application; and determining, via the processor, whether the application is potential malware based at least in part on a result of the comparing.

Abstract: A method for detecting application leaks is described. In one embodiment, the method may include the method may include identifying a first application as a known application, assigning a first identifier to the first application, appending the first identifier to data generated by the first application, identifying a second application as an unknown application, assigning a second identifier to the second application, identifying a data usage by the second application, appending the second identifier to data associated with the data usage by the second application, and determining whether the data usage by the second application is associated with the data generated by the first application based at least in part on the first identifier and the second identifier. In some cases, the data usage includes at least one of generating data, modifying data, and transmitting data.

Abstract: The present disclosure relates to detecting security risks from application packages signed using a key based on differences detected between application packages. An example method generally includes calculating a difference score for a first application package signed using the key. The difference score may be based on differences detected between content of the first application package and content of one or more second application packages signed using the key. A computing system calculates an average difference score from the individual difference scores. Upon determining that the difference score for a specific application package of the second application packages exceeds the average difference score by a threshold amount, the computing system sets a reputation associated with the specific application package to an unknown reputation and generates an alert indicating that the specific application package is a potential security risk.

Abstract: In a handwriting recognition method applied in an electronic device with touch screen and display screen, a handwriting input area and a handwriting display area are shown on a touch screen when a handwriting command is given. The handwriting of a complete or partial word in the handwriting input area is recognized and displayed and a new handwriting input area can be added when a preset slide operation is applied that the tracing of a handwritten character collides with a boundary of the input area. Handwriting in the new handwriting input area is recognized and displayed and the content of the original handwriting input area and of the new handwriting input area are combined to form a complete word when the handwriting input is finished. The complete word is then displayed.

Abstract: A method for pausing a video during playback in an electronic device includes detecting that a video playing interface within a first user interface is covered by a second user interface, upon such detection, calculating a coverage ratio of the second user interface to the video playing interface, and determining that the coverage ratio is greater than a predetermined value, upon such determination, pausing the playing of the video.