Utilizing Spectral Sensor Data and Location Data to Determine the Lighting Conditions of a Scene

This publication describes methods, implemented on an image-capturing device, to utilize spectral sensor data and location data to determine the lighting conditions of a scene. In aspects, an image capture manager implemented on the image-capturing device aggregates and fuses spectral sensor data and location data. A machine-learned (ML) model implemented on the image-capturing device analyzes the fused data and determines the lighting conditions of the scene. Using the determined lighting condition, a camera application implemented on the image-capture device adjusts camera settings (e.g., white balance, exposure) to enable a user to take higher-quality photographs

Scene Metering and Exposure Control for Enhancing High Dynamic Range Imaging

This publication describes systems and techniques directed to enhancing High Dynamic Range (HDR) imaging by identifying and understanding the lighting environment of a scene for image capture. Natural light (e.g., outdoor sky, sunlight) is identified and differentiated from artificial light (e.g., light-emitting diode (LED), fluorescent, halogen, incandescent lighting) for advanced metering and optimal exposure control. Exposure is adjusted relative to the differentiated lighting for final image capture. Regions of the scene are differentiated by mapping different weights to the dynamic range detected. This comprehensive understanding of the scene captures the most important region of interest (e.g., from the viewer’s perspective) within a good exposure value

Exposure Prediction in Video Capturing

This publication describes methods, techniques, and apparatuses that enable a handheld electronic device, such as a smartphone, to capture high-quality static images (photographs) and accurately determine an exposure configuration when capturing videos (multiple frames per second (FPS)). To do so, the smartphone utilizes an auto-exposure (AE) algorithm. The AE algorithm combines data from motion sensors (e.g., gyroscopes and accelerometers) and optical flow data from image sensors (e.g., complementary metal-oxide-semiconductor (CMOS) image sensor). The AE algorithm increases video quality without using additional computational power, more battery life, nor more volatile and non-volatile memory

Methylprednisolone as Adjunct to Endovascular Thrombectomy for Large-Vessel Occlusion Stroke

Importance It is uncertain whether intravenous methylprednisolone improves outcomes for patients with acute ischemic stroke due to large-vessel occlusion (LVO) undergoing endovascular thrombectomy. Objective To assess the efficacy and adverse events of adjunctive intravenous low-dose methylprednisolone to endovascular thrombectomy for acute ischemic stroke secondary to LVO. Design, Setting, and Participants This investigator-initiated, randomized, double-blind, placebo-controlled trial was implemented at 82 hospitals in China, enrolling 1680 patients with stroke and proximal intracranial LVO presenting within 24 hours of time last known to be well. Recruitment took place between February 9, 2022, and June 30, 2023, with a final follow-up on September 30, 2023.InterventionsEligible patients were randomly assigned to intravenous methylprednisolone (n = 839) at 2 mg/kg/d or placebo (n = 841) for 3 days adjunctive to endovascular thrombectomy. Main Outcomes and Measures The primary efficacy outcome was disability level at 90 days as measured by the overall distribution of the modified Rankin Scale scores (range, 0 [no symptoms] to 6 [death]). The primary safety outcomes included mortality at 90 days and the incidence of symptomatic intracranial hemorrhage within 48 hours. Results Among 1680 patients randomized (median age, 69 years; 727 female [43.3%]), 1673 (99.6%) completed the trial. The median 90-day modified Rankin Scale score was 3 (IQR, 1-5) in the methylprednisolone group vs 3 (IQR, 1-6) in the placebo group (adjusted generalized odds ratio for a lower level of disability, 1.10 [95% CI, 0.96-1.25]; P = .17). In the methylprednisolone group, there was a lower mortality rate (23.2% vs 28.5%; adjusted risk ratio, 0.84 [95% CI, 0.71-0.98]; P = .03) and a lower rate of symptomatic intracranial hemorrhage (8.6% vs 11.7%; adjusted risk ratio, 0.74 [95% CI, 0.55-0.99]; P = .04) compared with placebo. Conclusions and Relevance Among patients with acute ischemic stroke due to LVO undergoing endovascular thrombectomy, adjunctive methylprednisolone added to endovascular thrombectomy did not significantly improve the degree of overall disability.Trial RegistrationChiCTR.org.cn Identifier: ChiCTR210005172

Development of a Smart Clinical Bluetooth Thermometer Based on an Improved Low-Power Resistive Transducer Circuit

Smart sensors have been used in many engineering monitoring and control applications. This work focuses on the development of a new type of clinical Bluetooth thermometer, based on an improved low-power resistive transducer circuit. Most existing resistive transducers use relatively complicated circuits with higher cost and power consumption. To tackle these problems, especially in real applications, an improved low-power resistive transducer circuit is proposed in this work and is used to develop smart Bluetooth thermometers. The parameters of the resistive transducer circuit are selected by quantitative analysis and optimization to improve the performance of the low-power resistive transducer circuit. The effectiveness of the proposed design technology was verified by tests. The temperature measurement error of the new smart Bluetooth thermometer is less than 0.1 °C, which can not only meet the clinical use requirements but also has lower cost and power consumption

FITC and Ru(phen)₃ ²⁺co-doped silica particles as visualized ratiometric pH indicator

Abstract The performance of fluorescein isothiocyanate (FITC) and tris(1, 10-phenanathroline) ruthenium ion (Ru(phen)3 2+) co-doped silica particles as pH indicator was evaluated. The emission intensity ratios of the pH sensitive dye (FITC) and the reference dye (Ru(phen)3 2+) in the particles were dependent on pH of the environment. The changes in emission intensity ratios of the two dyes under different pH could be measured under single excitation wavelength and readily visualized by naked eye under a 365-nm UV lamp. In particular, such FITC and Ru(phen)3 2+ co-doped silica particles were identified to show high sensitivity to pH around the pKa of FITC (6.4), making them be potential useful as visualized pH indicator for detection of intracellular pH micro-circumstance.</p