Abstract: One aspect provides a system, including: a first end configured to attach to a light bulb socket; an internal light source; an electric insect control mechanism proximate to the first end and including electrified meshes disposed around and proximate to the internal light source; a visible light source disposed at an opposite end with respect to the first end; and circuitry configured to: operate both the internal light source and the visible light source after the system is attached to the light bulb socket; and responsive to user input, control the internal light source and the visible light independently.

Abstract: One embodiment provides a system, including: a first end that screws into a light bulb socket; an internal light source; an electric insect control mechanism disposed around and proximate to the internal light source; and a visible light source disposed at an opposite end with respect to the first end. Other embodiments are described and claimed.

Abstract: One embodiment that easily seals light and heavy, thick or thin, large or small corrugated double wall cardboard boxes, which provide an easier way to open once its sealed. Other embodiments are described and claimed.

Abstract: One embodiment provides a system, including: a first end that screws into a light bulb socket; an internal light source; an electric insect control mechanism disposed around and proximate to the internal light source; and a visible light source disposed at an opposite end with respect to the first end. Other embodiments are described and claimed.

Abstract: A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.

Abstract: A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.

Abstract: A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.

Abstract: A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.