Abstract: Multi-mode broadband low noise amplifiers (LNAs) are disclosed herein. In certain embodiments, an LNA includes a first amplification stage and a second amplification stage having a lower gain than the first amplification stage. The LNA is operable in a plurality of operating modes including a first mode in which the first amplification stage and the second amplification stage operate in a cascade to amplify a radio frequency (RF) receive signal, and a second mode in which the first amplification stage amplifies the RF receive signal and the second amplification stage is bypassed.

Abstract: Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery or other surgical procedure e.g., surgery of the shoulder, knee or hip. The method comprises steps of receiving an image from an interventional imaging device, identifying a feature in the image using an image recognition algorithm, overlaying the features on a video feed on a display device and making recommendations or suggestions to an operator based on the identified feature in the image.

Abstract: Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery (e.g., surgery of the shoulder, knee or hip) or other surgical procedure by the placement of arbitrary landmarks in one or more locations in surgical field of view. The systems and methods comprise steps of receiving a video stream from an arthroscopic or other imaging device; receiving one or more sets of coordinates of one or more landmarks; overlaying the one or more landmarks on the video stream; and displaying the overlay on one or more display devices intraoperatively so as to be used by an operator during the arthroscopic or other medical procedure.

Abstract: Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery (e.g., surgery of the shoulder, knee, hip or spine) or other surgical procedure by providing measurements intraoperatively. The systems and methods comprise steps of receiving a video stream from an arthroscopic imaging device; receiving one or more sets of coordinates of one or more points, paths, or area; calculating a length, a surface area, or a volume measurement based at least in part on the one or more sets of coordinates; overlaying the selected one or more sets of coordinates and the measurement on the video stream or on an expanded view of a region of surgery; and displaying the overlay on one or more display devices intraoperatively so as to be used by an operator during the arthroscopic procedure.

Abstract: The present invention relates to a synergistic formulation comprising the essential oils of plants from western Himalayas, which have versatile medicinal properties. The present invention also relates to a process for development of synergistic value added anti-acnes products using the essential oils from these plants of western Himalayas. The developed synergistic formulation is useful in inhibiting different P. acnes strains thereby exhibiting antibacterial activity.

Abstract: A method that involves establishing a network connection with a plurality of servers executing at least one web application; executing, via the network connection, a set of computer executable scraping instructions on the at least one web application to obtain a set of scraped data; receiving a plurality of electronic messages transmitted via a network; generating a first set of records from the set of scraped data; generating a second set of records from the plurality of electronic messages; validating the set of computer executable scraping instructions by locating a record in the second set of records that identifies a transaction missing in the first set of records to obtain a validation result; and generating, based on the validation result, an alert to update the set of computer executable scraping instructions.

Abstract: A system and method for comprehensive automated call center customer/agent interaction monitoring and service level agreement (SLA) compliance. The system reduces a massive volume of call center activity into readable data points and SLA metrics for measuring agent and overall call center performance levels. The system allows for the scaling up of the SLA compliance process, which is currently done manually by quality assurance personnel for a limited sample set. With the system, customer calls are computationally sampled for speaker diarization and voice isolation, speech emotion recognition, unique salient feature extraction, reference pattern template matching, and automatic speech recognition. The system is adaptively programmable for recognizing and predicting SLA metrics such as: customer satisfaction, issue resolution, appropriate agent greeting and identification, customer understanding, acknowledgment, abandonment, sales attempts, and customer retention, etc.