Hospital Bed for Diabetes Care: An Invention to Support Professional and Hygienic Nursing Practice

Appropriate diabetes mellitus (DM) wound care requires safe and comfortable space and facilities for patients and nurses. However, the existing hospital bed for DM has not supported the safety and comfort for nurses to serve patients, including the problem of liquid waste and some DM wounds emit a foul smell. Therefore, a hospital bed for DM wound care was designed in this research to support professional, efficient, ergonomic, and safe nursing practice. Multidisciplinary collaboration by engineers, wound nursing practitioners, and industry is carried out in this project. The level of risk of work disturbances was evaluated using a rapid entire body assessment (REBA), the level of risk of contamination was evaluated by a qualitative exposure assessment, and the level of comfort was measured using the visual analog method. Trials on 30 respondents consisting of 28 nurses and 2 doctors indicated that they were comfortable working with the new design of this prototype with lower risk.

Evaluation of analog-based post-processing in Croatia for the wind gust NWP

<p>The potential goal of weather forecast verification is to quantify the quality of given forecasts to determine the best possible setup available for the predictand tested in a certain area. Such procedure is performed to adequately select the wind gust forecasts at a 10 m height for different geographical and topographical areas of the Republic of Croatia using data from 61 stations in 2018. In addition to the raw ALADIN numerical model forecast, 3 additional forecasts based on the analog post-processing method are verified: a simple AnEn forecast, an AnEn forecast with predictor weight optimization, AnEnT, and a forecast with an additional correction for the high wind speed AnEnK.</p><p>In the analysis of wind gust as a continuous variable, the raw ALADIN forecast is the least successful in the coastal group of stations, while the analysis of wind as a categorical variable shows the deficiencies of the raw forecast in the continental group of stations. It is shown that predictions obtained by the analog method improve the predictions overall, compared to the raw ALADIN forecast. The largest improvements are achieved in the coastal group of stations, while the improvements in the continental group of stations are not as emphasized. For the climatologically more common wind gust speeds, there is a noticeable improvement made with the analog-based post-processing over the raw ALADIN NWP. The same result is shown even for the extreme events, except for the continental group of stations.</p><p>The results presented in this work suggest that all the forecasts considered are more suited to predict the bora than the sirocco wind. Overall, better post-processing results are achieved in the northern Adriatic than in the southern Adriatic. However, the relative improvement gained by the analog method is more pronounced in the southern Adriatic, where the occurrence of the sirocco wind is more frequent.</p><p>Among the forecasts obtained by the analog method, the AnEnK variant could be singled out as the best one, especially for high wind gust speed. However, the differences in performance between the three variants of the analog method are often very small.</p>

Analog Models for Empirical-Statistical Downscaling

Global climate models (GCM) are fundamental tools for weather forecasting and climate predictions at different time scales, from intraseasonal prediction to climate change projections. Their design allows GCMs to simulate the global climate adequately, but they are not able to skillfully simulate local/regional climates. Consequently, downscaling and bias correction methods are increasingly needed and applied for generating useful local and regional climate information from the coarse GCM resolution. Empirical-statistical downscaling (ESD) methods generate climate information at the local scale or with a greater resolution than that achieved by GCM by means of empirical or statistical relationships between large-scale atmospheric variables and the local observed climate. As a counterpart approach, dynamical downscaling is based on regional climate models that simulate regional climate processes with a greater spatial resolution, using GCM fields as initial or boundary conditions. Various ESD methods can be classified according to different criteria, depending on their approach, implementation, and application. In general terms, ESD methods can be categorized into subgroups that include transfer functions or regression models (either linear or nonlinear), weather generators, and weather typing methods and analogs. Although these methods can be grouped into different categories, they can also be combined to generate more sophisticated downscaling methods. In the last group, weather typing and analogs, the methods relate the occurrence of particular weather classes to local and regional weather conditions. In particular, the analog method is based on finding atmospheric states in the historical record that are similar to the atmospheric state on a given target day. Then, the corresponding historical local weather conditions are used to estimate local weather conditions on the target day. The analog method is a relatively simple technique that has been extensively used as a benchmark method in statistical downscaling applications. Of easy construction and applicability to any predictand variable, it has shown to perform as well as other more sophisticated methods. These attributes have inspired its application in diverse studies around the world that explore its ability to simulate different characteristics of regional climates.

Development of spatial-design thinking in architecture education

The paper discusses the peculiarities of developing spatial-design thinking of future architects and determining the levels of its formation. The peculiarity of this work is in revealing the sequence of actions and operations of spatial-design thinking during the architect's training as well as applying the modified design-analog method suggested by the authors. The proposed method has a practical orientation. It does not contradict the methods used, and has a wider range of applications in comparison with traditional methods. The article discusses the prospects for the development of the proposed method.

Influence of subalin probiotic on Blue Frost fox intestinal lymphoid tissue formation

For research, Blue Frost fox puppies were used at the age of 2 months. 2 groups of animals of 30 heads in each group were formed by the analog method. The experimental animal group received subalin courses with the basic diet according to the scheme: 5 days of probiotic in the amount of 10 - 20 * 107 CFU/kg, for two months in courses with 10 days break, only 4 courses.

DETERMINATION OF ACCEPTABLE RISK PARAMETERS FOR MATERIAL COSTS TO ENSURE THE QUALITY OF ENGINEERING PRODUCTS

The article presents the results of research on analog methods of risk assessment. One of the variants of these methods has been developed as a tool for practical forecasting of the optimal level of material costs to ensure a given product quality. The theoretical basis for solving this problem was the provisions of the risk management theory of technical systems. The analog method of solving the set optimization problem presented in this paper confirms the principle possibility of predicting the level of acceptable risk of material costs for organizational and technical perfection of production, taking into account consumer requirements for its quality indicators.