Abstract: The present disclosure relates to methods for inhibiting coronavirus, e.g., SARS-CoV-2, infection involving the local administration of a nAChR agonist into the nasal cavity of an individual. In some embodiments, the method further comprises local administration of copper into the nasal cavity of the individual.

Abstract: Methods for treating pruritis in humans and animals using topically administrable compositions containing olopatadine are disclosed. The compositions quickly relieve itchy skin.

Abstract: Methods for treating pruritis in humans and animals using topically administrable compositions containing olopatadine are disclosed. The compositions quickly relieve itchy skin.

Abstract: The invention provides compositions for rendering a vitreous cavity visible during a surgical procedure to alleviate a structural disorder caused by the vitreous in an eye, and methods of using the compositions. The compositions are vitreous delineating agents that comprise a hyaluronan binding peptide linked to an optically detectable moiety. Such compositions can be in a formulation that may be a solution, a suspension, or an emulsion, and would be injected into the vitreous shortly prior to use. The composition may additionally contain a therapeutic agent, a diagnostic agent, or a chemosensing material, in use, the composition marks or delineates the vitreous by binding preferentially to the hyaluronan that permeates the vitreous humor and binding little or not at all to surrounding tissues such as the retina.

Abstract: The invention provides compositions for rendering a vitreous cavity visible during a surgical procedure to alleviate a structural disorder caused by the vitreous in an eye, and methods of using the compositions. The compositions are vitreous delineating agents that comprise a hyaluronan binding peptide linked to an optically detectable moiety. Such compositions can be in a formulation that may be a solution, a suspension, or an emulsion, and would be injected into the vitreous shortly prior to use. The composition may additionally contain a therapeutic agent, a diagnostic agent, or a chemosensing material, in use, the composition marks or delineates the vitreous by binding preferentially to the hyaluronan that permeates the vitreous humor and binding little or not at all to surrounding tissues such as the retina.

Abstract: The topical ophthalmic use of 5,6,7-trihydroxyheptanoic acid and analogs for the acceleration of corneal wound healing in humans, is disclosed.

Abstract: The present invention relates to ophthalmic compositions comprising inhibitors of spleen tyrosine kinase (syk). The compositions are particularly well suited for the treatment of ophthalmic infection such as fungal keratitis. The compositions optionally comprise an antiinfective compound such as an antibacterial or antifungal compound. The present invention also relates to methods for treating fungal keratitis using compositions comprising syk inhibitors.

Abstract: The topical ophthalmic use of 5,6,7-trihydroxyheptanoic acid and analogs for the acceleration of corneal wound healing in humans, is disclosed.

Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.

Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.

Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.

Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.

Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.