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Using only social determinants, we employ an unsupervised clustering methodology that can differentiate high and low expenditure individuals. There are three major implications of this work: (1) cl...

We compare and demonstrate the effectiveness of two clustering methods with the main purpose of identifying characteristic profiles of high utilizers of health care. In this work, we use three sets of mutually independent longitudinal data that are nationally representative of the US adult working-age civilian non-institutionalized population. We compare k-means, a commonly used clustering method, with a k-medoids algorithm called Partitioning Around Medoids. We use one cohort of data to create clusters based on similar characteristics of individuals for both clustering methods. We examine these characteristic compositions of the highest three average total expenditure clusters from this cohort. We also examine the health expenditure distributions for this cohort over the following two years. We validate the approach by applying the centers of the clusters to two other cohorts of similar data. We form clusters based on demographic, economic, and health-related characteristics that are commonly used in studies of health care utilization. We demonstrate the consistency of our results across the three cohorts of data and across different types of health expenditures, such as office-based/outpatient and drug. Clusters can be formed with other more homogeneous data, such as Medicaid, Medicare, employer sponsored insurance, or individual private plans issued under the Affordable Care Act. This approach can be used to follow similar groups over time for other types of health outcomes.

Biopsies of inflammatory tissue contain a complex network of interacting cells, orchestrating the immune or autoimmune response. While standard histological examination can identify relationships, it is clear that a great amount of data on each slide is not quantitated or categorized in standard microscopic examinations. To deal with the huge amount of data present in biopsy tissue in an unbiased and comprehensive way, we have developed a deep learning algorithm to identify immune cells in biopsies of inflammatory lesions. We focused on T follicular helper (Tfh) cell subsets and B cells in dermatomyositis biopsy images. We achieved strong performance on detection and classification of cells, including the rare Tfh cell subsets present in the tissue. This algorithm could be used to perform distance mapping between cell types in tissue, and could be easily adapted to other disease states.

Combined cooling, heating and power (CCHP) systems have received wide attention for their potential of high efficiency and energy conservation. In this work, a novel CCHP system is designed coupling the solar thermal input (ST) system and the regenerative organic flash cycle (OFC) system. The OFC subsystem could recycle two kinds of heat sources to achieve cascade utilization of heat energy. The CCHP-ST-OFC system is evaluated by comparing with the conventional CCHP system and the CCHP-ST-ORC system (organic Rankine cycle). The effects of several operating parameters on the thermodynamic performance are discussed. Based on the negative feedback regulation, an operation strategy is proposed and applied to buildings to verify the thermodynamic economy. The results demonstrate that the electricity and heat provisions are 275.0 kW and 211.5 kW, which are 4.7 kW and 19.3 kW higher than the CCHP-ST-ORC system. The electricity of the OFC subsystem is 15.0 kW and 47% higher than the ORC system. Moreover, changing the smoke outlet temperature in the waste heat recovery equipment could effectively adjust the heat provision and power generation. The trend of the day and night power generation with the mass flow rate of the heat source is reversed. The energy provision and performance increased with the increasing partial load ratio of the internal combustion engine. The building case study reveals that the exergy efficiency of the CCHP-ST-OFC system is 38.7% and the primary energy ratio is 53.1%, respectively. Meanwhile, the natural gas consumption of the CCHP-ST-OFC system is 5.14×105 m3/year, with a 9% reduction than the CCHP-ST-ORC system.

At present, domestic coal mine safety monitoring mainly realize the function of downhole data acquisition, such as the collection of gas, wind speed, temperature and other data.But the down hole data is not in full organization, use and manage on the inoue, meanwhile coal mine has the shortcoming of not flexible safety equipment , high defects of integration . This article design with three major functions : real-time monitoring of gas, precise positioning, lighting the of the miners helmets and PC (including the PC and the mobile terminal) monitoring systems. Taking miners helmet as the carrier, erected precise positioning systems and gas real-time monitoring system based on the acceleration sensor MPU6050 and meter step algorithm , we propose a suitable mobile node (Donetsk) more topologies, and by moving the nodes and fixed nodes signal transmission network to the monitoring center . This work test result shows that miners positioning error is less than 3m and gas monitoring systems , lighting function properly. China is the world's largest producer of coal, accounting for 31% of world production. While China's basic coal as an important energy and materials, occupies an extremely important strategic position in the national economy. In China's energy structure, coal accounts for 70% of China's primary energy production and consumption structure , and it will continue to be China's major coal energy in a fairly long period of time. Coal-dominated energy structure in the short term is difficult to change. However, compared with countries in the world, China's major coal-producing coal mines not only has more complex geological structure, mainly to underground mining, but also has more serious natural disasters. In recent years, China's coal mine accidents occur frequently, not only causing economic losses but also caused heavy casualties, the security issue has become the bottleneck of coal production. Statistics show that China's coal mines one million tons mortality rate is 100 times of the United States ,10 times of India's and economic losses caused in developing countries production safety accidents reached more than 2500 billion yuan .