Class-Modeling of Septic Shock With Hyperdimensional Computing

Sepsis arises when a patient's immune system has an extreme reaction to an infection. This is followed by septic shock if damage to organ tissue is so extensive that it causes a total systemic failure. Early detection of septic shock among septic patients could save critical time for preparation and prevention treatment. Due to the high variance in symptoms and patient state before shock, it is challenging to create a protocol that would be effective across patients. However, since septic shock is an acute change in patient state, modeling patient stability could be more effective in detecting a condition that departs from it. In this paper we present a one-class classification approach to septic shock using hyperdimensional computing. We built various models that consider different contexts and can be adapted according to a target priority. Among septic patients, the models can detect septic shock accurately with 90% sensitivity and overall accuracy of 60% of the cases up to three hours before the onset of septic shock, with the ability to adjust predictions according to incoming data. Additionally, the models can be easily adapted to prioritize sensitivity (increase true positives) or specificity (decrease false positives).

Optimization of CV.Amanda Makassar Production Planning in the Time of Covid-19 Using Multiple Goal Linear Program Model

A research has been conducted on the use of multiple-goal linear program model to solve multi goals by taking the case of optimization of production planning at CV. Amanda Makassar during the Covid-19 period. In this research, four goals were formulated, that were (i) the fulfillment of the number of market demand, (ii) maximizing income, (iii) minimizing production costs, and (iv) maximizing working hours. Then for the optimal solution using LINGO 18 software. Based on the research results, the optimal production plan during the Covid-19 period resulted from the two different models for original brownies products where the results of the dual-purpose linear program model without target priority produced 16.118 original brownies and 32.400 packages from the dual-purpose linear program model with priority target with weight. For cream cheese brownies, there are 3.000 packages, 18.000 packages of sarikaya pandan brownies, 3.600 packs of choco marble brownies, pink marble brownies, tiramishu marble brownies, roasted brownies, and 1.800 packs of cappuccino marble brownies. Chocolate bananas bolen, pineapple molen, and chocolate ganache in 840 packages. Then for 15.000 packs of blueberry brownies, 960 packs of strawberry brownies, 360 packs of dry brownies, 2.400 banana cheese brownies, 300 packs of cheese bananas bolen, 600 packs of peanut butter, and 9.000 packs of pandan cake for a month. The maximum revenue obtained by the company with a multiple-purpose linear program model without target priority is Rp.628.602.000.- and the minimum production cost that the company must pay is Rp.495,048,300,-. Then for the multiple-purpose linear program model with target priority accompanied by a weight of Rp.4.299.480.000.- and the minimum production cost is Rp.3.394.366.000. The result shows that optimization using a multiple goal linear program model with goal priority provide optimal production which results in greater profit compared to the process (optimization) carried out by the company so far, which is only based on the number of demand.

Measuring Sustainable Development Using an Extended Hellwig Method: A Case Study of Education

Benchmarking the analysis of countries' performance in terms of sustainable development helps to understand the success factors of countries that over perform and to target priority issues of others with lower performance. However, assessing sustainable development comes with methodological challenges, including indicator standardization, aggregation and weighting. Our study significantly contributes to the measure of sustainable development by providing a new approach based on an extended Hellwig method. After describing the main limitations of existing methodologies, this paper's aim is twofold. First, we show that the proposed analytical framework allows for comparing the sustainable performance of EU countries on the national level. The extended Hellwig method takes into consideration EU targets and/or national targets in building patterns of development. Second, this framework is tested as a part of the evaluation of the implementation of the Europe 2020 strategy in the education area. The results obtained using the extended Hellwig method were compared with those obtained by means of the Education Index, TOPSIS and Ward technique. Our analysis showed the significant disparities in the implementation of the Europe 2020 strategy recommendations in the education area in 2015.

ASSESSMENT AND MAPPING OF SOIL SENSITIVITY TO EROSION USING GIS IN MELLEGUE CATCHMENT, NORTHEAST OF ALGERIA

In Algeria, there is an urgent need for cartographic zones touched by erosion and also to target priority risk areas to improve the consistency of erosion prevention actions. Such a mapping must be able to display the areas at sensitivity to erosion and must take into account the developments to be undertaken. It is in this perspective that this study is carried out for (a) to map the sensitivity to erosion in the Mellegue catchment by relying on three factors of erosion namely topography, lithology and land use; and (b) to propose a management plan for vulnerable areas. This study is conducted using a Geographic Information System, which has allowed to characterize different areas of the study catchment and its sub-basins by producing a synthetic map of degrees of susceptibility to erosion.The results has shown that the basin has dominant areas of medium to high sensitivity to erosion, despite the existence of a considerable low sensitive area, corresponding to 47% of the basin area and observed mainly at the Meskiana sub-basin. The integration of the results into three levels of sub-basins has allowed identifying the most susceptible areas to erosion. This study provides sufficient data for a prioritization of the study basin according to their degree of erosion, making possible to the different actors, the management of the territory.