Soft Matter Physics and Global Pandemic Covid-19 an Indepth Insights

World is going through a global pandemic COVID-19 and this situation can be explained through soft matter point of view. Covid-19 also known as Coronavirus have a complex form of nucleic acid and it has a strong lipid layer. A small analysis of soft matter properties of corona virus is done here. The virus is transmitting and mutating very fast and affected almost all sectors of world. The virus attack and virus transmission is explained and infection probability rate is also calculated. A detailed study about viral pandemics and tactics to prevent this using SMS (sanitizer, mask, social distancing) method is discussed and analyzed how this helps in decreasing virus transmission.

DISNEY2GO solution to overcrowded theme parks: tech based crowd mitigation tool

The purpose of this project is to investigate the effectiveness of how a mobile app integrating augmented reality and GPS technology can influence crowd behaviour in the themed entertainment industry. In partnership with Dr. Asgary, Associate Professor of Disaster & Emergency Management at York University and a member ADERSIM, the study was conducted on the AnyLogic Simulation system to measure how Disney characters can act as a crowd mitigation tool to influence crowd movements throughout the Magic Kingdom. Using data to represent park entrance rates, attraction duration, and wait times, the study was able to capture the level of influence Disney characters had on park guest’s movements throughout their visit. This simulation reveals that Disney characters have the ability to influence crowd behaviour with a probability rate of approximately 30%. This data supports the view that the proposed mobile app will act as an effective crowd mitigation tool and can strategically influence crowd migration throughout the Magic Kingdom.

DISNEY2GO solution to overcrowded theme parks: tech based crowd mitigation tool

The purpose of this project is to investigate the effectiveness of how a mobile app integrating augmented reality and GPS technology can influence crowd behaviour in the themed entertainment industry. In partnership with Dr. Asgary, Associate Professor of Disaster & Emergency Management at York University and a member ADERSIM, the study was conducted on the AnyLogic Simulation system to measure how Disney characters can act as a crowd mitigation tool to influence crowd movements throughout the Magic Kingdom. Using data to represent park entrance rates, attraction duration, and wait times, the study was able to capture the level of influence Disney characters had on park guest’s movements throughout their visit. This simulation reveals that Disney characters have the ability to influence crowd behaviour with a probability rate of approximately 30%. This data supports the view that the proposed mobile app will act as an effective crowd mitigation tool and can strategically influence crowd migration throughout the Magic Kingdom.

Investigation of the Self-Heating of Q460 Butt Joints and an S-N Curve Modeling Method Based on Infrared Thermographic Data for High-Cycle Fatigue

In this study, we investigated the fatigue behavior of Q460 welded joints using tensile fatigue tests. Furthermore, real-time temperature profiles of the examined specimens were recorded by infrared thermography. Based on the obtained thermographic data, we calculated the entropy production rate of the specimens under different stress amplitudes. Hypothetically, the entropy production during high-cycle fatigue (HCF) could be divided into two parts. The first is induced by inelastic behavior that corresponds to damage accumulation, and the second originates from anelasticity associated with recoverable non-damaging microstructural motions. The turning point of entropy production under different stress levels represents an index for fatigue limit estimation. Then, considering the average damage threshold that exists during HCF, the entropy production related to damage accumulation (cumulative damage entropy) is obtained by testing three specimens under the same stress amplitude above the fatigue limit. Finally, a rapid three-parameter S-N curve with a survival probability rate of 50% is obtained. Then, combined with the maximum likelihood method, the 5% and 95% survival probability rate S-N curves are established. Most of experimental data are distributed in the area between S-N curves that correspond to 5% and 95% survival probability rate, indicating good accordance with the test data.

Six types of enclosing structures for low-storey houses. Economic comparison

The article represents comparative economic analysis of 6 types of enclosing structures for low-storey houses. They are: masonry, foam concrete blocks laying, glued laminated lumber, timber frame construction, light-weight steel thin-walled framing, glued veneer panel. The last one distinguishes of a high factory readiness level, allow using nonconforming veneer in its compound, may contain underlining depending of the exact region. Analysis was carried out using five-grade scale in several groups of parameters, such as: physical characteristics, building conditions, extra works if needed and maintainability, economical characteristics, probability rate. The results obtained maid it possible to recommend glued veneer panel for universal application.

Evaluation of the validity of the FRAX® algorithm for predicting risk of osteoporotic fracture in Iran

SummaryThe present study was designed to determine the most applicable FRAX® model for the Iranian population. Methods: Seventy four men and women (with the mean age of 70 years), who had experienced at least a fragility fracture in their life, along with 162 individuals with no such an experience (with the mean age of 66 years), were enrolled in this study. Fracture probabilities were calculated using FRAX® models from Jordan, Lebanon and the US.We found a significant difference in the probability rate between the fracture cases and the controls; the rate, however, was lower than the recommended threshold for intervention, especially for the Lebanese and the Jordanian models.As for women all the three models had a good discrimination value, while the Lebanese and the Jordanian model needed to be revised. As for men, on the other hand, the Jordanian model had a low discriminative value. The Lebanese model, despite its acceptable discrimination value, needed a revision regarding its threshold. The US model was the most compatible.

Modeling of Fungal and Bacterial Spore Germination under Static and Dynamic Conditions

ABSTRACTIsothermal germination curves, sigmoid and nonsigmoid, can be described by a variety of models reminiscent of growth models. Two of these, which are consistent with the percent of germinated spores being initially zero, were selected: one, Weibullian (or “stretched exponential”), for more or less symmetric curves, and the other, introduced by Dantigny's group, for asymmetric curves (P. Dantigny, S. P.-M. Nanguy, D. Judet-Correia, and M. Bensoussan, Int. J. Food Microbiol. 146:176–181, 2011). These static models were converted into differential rate models to simulate dynamic germination patterns, which passed a test for consistency. In principle, these and similar models, if validated experimentally, could be used to predict dynamic germination from isothermal data. The procedures to generate both isothermal and dynamic germination curves have been automated and posted as freeware on the Internet in the form of interactive Wolfram demonstrations. A fully stochastic model of individual and small groups of spores, developed in parallel, shows that when the germination probability is constant from the start, the germination curve is nonsigmoid. It becomes sigmoid if the probability monotonically rises from zero. If the probability rate function rises and then falls, the germination reaches an asymptotic level determined by the peak's location and height. As the number of individual spores rises, the germination curve of their assemblies becomes smoother. It also becomes more deterministic and can be described by the empirical phenomenological models.