The predictive role of blood indices in coronavirus disease 2019 (COVID-19) related in-hospital adverse outcomes and post-recovery status is not fully defined. The main aim was to assess the association of complete blood indices measured at baseline with COVID-19 related in-hospital clinical outcomes, including length of hospital and intensive care unit (ICU) stay, receiving mechanical ventilation, degree of lung injury and in-hospital death, and post-recovery status. This retrospective study included patients with newly diagnosed COVID-19 infection from August 20, to September 25, 2020. The initial study cohort included 127 patients with newly diagnosed COVID-19. Of whom 26 patients were excluded, leaving 101 patients for final analysis. low lymphocytes % [Odds ratio and confidence intervals = OR (CI)] [0.2(0.0-0.2, p=0.03] increased the odds of ICU stay length while high platelet mean volume (PMV) [0.9 (1.1-5, p<0.00], high platelet distribution width (PDW) [0.3(0.4-1.9), p<0.00], and low lymphocytes % [0.2 (0.0-0.2), p=0.02] increased the odds of length of hospital stay. Decreased lymphocytes % showed significant independent association with increased risk for mechanical ventilation use [0.9 (0.9-1), p=0.04], extensive degree of lung injury [0.2 (0.1-0.7), p<0.00], and in-hospital death [0.5 (0.3-0.8), p=0.01]. High lymphocytes %[0.9 (0.9-1), p<0.00] and high PMV [0.3 (0.3-0.8), p=0.02] were significantly associated with complete recovery while increased neutrophil % [1 (1-1.1), p=0.04] was associated with increased risk for post recovery fatigue. In conclusion, low lymphocytes % and high neutrophil % are useful markers for predicting adverse in-hospital outcome and post-recovery persistent fatigue, respectively. High PMV and lymphocyte % showed significant association with favorable short-term prognosis.
Smartphones and wearable devices offer promising perspectives for processing and collecting velocity, variety, and high-quality data in healthcare scenarios. Collecting, investigating, analyze, and mining health data to generate individual and public health rules. These rules will measure and enhance the quality of everyday life. However current health systems are limited on their local data collection. As the current big data is so underutilized is because many challenges are existing. The aim of this study was to point the challenges of smartphone big data technologies and big data.
Reinforced concrete skew slabs are commonly used in bridges due to space constraints in motorways and in congested urban areas. Such slabs also often need to contain openings for architectural requirements or services, and this study seeks to determine the effect of these openings on the strength of the skew slabs. The finite element method was used to analyze 13 cases of slabs with skew angles of 45°. The first and second cases were used to validate the results with experimental work. Other cases studied the effect of the position and shape of openings on the strength of the skew slabs under both one-point and four-point loading conditions. The study also showed that the worst location for the opening was near the obtuse corners since this is where most of the load is transferred. With respect to the shape of openings, three different shapes with the same area were used: skew, circle, and square shapes. It was found that the effect of the opening shape depends on how many steel reinforcements are removed, as well as the appearance of negative cracking brought on as a result of the opening. Overall, the square shape introduces the smallest reduction in the skew slab strength compared with a slab with no opening. Accordingly, the study recommends that the strength of skew slabs can best be maintained if square openings are employed near the acute corners, alongside negative steel reinforcement to avoid cracking.
In this paper, we proposed an IoT-based sound pollution checking system. It is a method of an economical acoustic sensor developed on the Raspberry-Pi, for its use in the analysis of the noise level in the classroom. This prototype is connected to an online server to share results in the actual time. This experiment has shown the Raspberry-Pi as an impressive and low-cost computing core of an affordable device to evaluate the environmental sound pollution that affects student satisfaction and performance in higher education classrooms.
It is known that there are some mathematical tools for dealing with many uncertain problems some of them are fuzzy set[31], soft set[22], and fuzzy soft set theories which have been applied in many real-life fields such as decision making, data analysis, simulation, rule mining, evaluation of sound quality, and medical diagnosis (see [5,8,11,12,13,15,16,19,25,29,33] ).
Smart cities need a smart applications for the citizen, not just digital devices. Smart applications will provide a decision-making to users by using artificial intelligence. Many real-world services for online shopping and delivery systems were used and attracted customers, especially after the Covid-19 pandemics when people prefer to keep social distance and minimize social places visiting. These services need to discover the shortest path for the delivery driver to visit multiple destinations and serve the customers. The aim of this research is to develop the route discovery for multiple-destination by using ACO Algorithm for Multiple destination route planning. ACO Algorithm for Multiple destination route planning develops the Google MAP application to optimize the route when it is used for multiple destinations and when the route is updated with a new destination. The results show improvement in the multiple destination route discovery when the shortest path and the sequence order of cities are found. In conclusion, the ACO Algorithm for Multiple destination route planning simulation results could be used with the Google Map application and provide an artificial decision for the citizen of Erbil city. Finally, we discuss our vision for future development.
Payment mechanisms are migrated to mobile devices as e-commerce grows, creating e-wallets. The current e-wallet payment solutions are based on online-connected smartphones. The transaction is completed using a mobile application, which requires a GPRS and Wi-Fi connection. People around the world are becoming more interested in e-wallets. Nevertheless, in Iraq, it grows slower than in other parts of the world after survey is done to ascertain the primary elements influencing Iraqis’ adoption of electronic wallets. This paper proposes a design of e-wallet Mobile app offering online to offline (O2O) payments that aim to replace traditional e-wallet, credit cards, debit cards, and cash using offline connectivity, near-field communication (NFC), and SMS-based payment mechanisms that are independent of internet connection.
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