18 research outputs found

    Establishing a training set through the visual analysis of crystallization trials. Part II: crystal examples

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    As part of a training set for automated image analysis, crystallization screening experiments for 269 different macromolecules were visually analyzed and a set of crystal images extracted. Outcomes and trends are analyzed

    Coordinating the impact of structural genomics on the human α-helical transmembrane proteome

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    Given the recent successes in determining membrane-protein structures, we explore the tractability of determining representatives for the entire human membrane proteome. This proteome contains 2,925 unique integral α-helical transmembrane-domain sequences that cluster into 1,201 families sharing more than 25% sequence identity. Structures of 100 optimally selected targets would increase the fraction of modelable human α-helical transmembrane domains from 26% to 58%, providing structure and function information not otherwise available

    Energy storage device based on flywheel, power converters and Simulink real-time

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    Integrated Algorithm for Selecting the Location and Control of Energy Storage Units to Improve the Voltage Level in Distribution Grids

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    This paper refers to the issue that mainly appears in distribution grids, where renewable energy sources (RES) are widely installed. In such grids, one of the main problems is the coordination of energy production time with demand time, especially if photovoltaic energy sources are present. To face this problem, battery energy storage units (ESU) can be installed. In recent years, more and more attention has been paid to optimizing the use of ESU. This paper contains a simple description of available solutions for the application of ESU as well as an original proposal for selecting the optimal location and control of ESU. The ESU selection method is based on the use of a genetic algorithm and the ESU control method utilizes the fuzzy logic. The combination of the aforementioned methods/algorithms of ESU application is named an integrated algorithm. The performance of the proposed algorithm was validated by multivariate computer simulations with the use of the real low-voltage grid model. The DIgSILENT PowerFactory environment was employed to develop the simulation model of the integrated algorithm. The proposal was utilized to improve the voltage level in the distribution grid and to install the optimal number of ESU. Based on daily load variations for selected load profiles, it was shown that after the ESU application the voltage deviations in the analyzed network were significantly limited. Moreover, the analysis proves that both the location of ESU in the grid and the control of their active and reactive power are important from the point of view of reducing overall costs

    Review of Continuing Medical Education in Tick-Borne Disease for Front-Line Providers

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    INTRODUCTION: Considering increasing rates of tick-borne diseases (TBDs) in the United States, we investigated the scope of continuing medical education (CME) available to physicians on these infections. METHODS: We surveyed online medical board and society databases serving front-line primary and emergency/urgent care providers for the availability of TBD-specific CME between March 2022 and June 2022. We recorded and analyzed opportunity title, author, web address, publication year, learning objectives, CME credit values, and CME credit type. RESULTS: We identified 70 opportunities across seven databases. Thirty-seven opportunities focused on Lyme disease; 17 covered nine non-Lyme TBDs, and 16 covered general topics on TBDs. Most activities were hosted through family medicine and internal medicine specialty databases. CONCLUSION: These findings suggest limited availability of continuing education for multiple life-threatening TBDs of increasing importance in the United States. Increasing the availability of CME materials covering the broad scope of TBDs in targeted specialty areas is essential for increased content exposure and a necessary step to ensure our clinical workforce is adequately prepared to address this growing public health threat
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