Martinussenlundgaard3628

Most of the segregation occurs at the grain-air free surface and is driven by large velocity gradients. In the silo with an insert, the velocity gradient at the free surface is greatly reduced, hence, so is the degree of segregation.Predicting motions of vessels in extreme sea states represents one of the most challenging problems in naval hydrodynamics. It involves computing complex nonlinear wave-body interactions, hence taxing heavily computational resources. Here, we put forward a new simulation paradigm by training recurrent type neural networks (RNNs) that take as input the stochastic wave elevation at a certain sea state and output the main vessel motions, e.g. pitch, heave and roll. https://www.selleckchem.com/Akt.html We first compare the performance of standard RNNs versus GRU and LSTM neural networks (NNs) and show that LSTM NNs lead to the best performance. We then examine the testing error of two representative vessels, a catamaran in sea state 1 and a battleship in sea state 8. We demonstrate that good accuracy is achieved for both cases in predicting the vessel motions for unseen wave elevations. We train the NNs with expensive CFD simulations offline, but upon training, the prediction of the vessel dynamics online can be obtained at a fraction of a second. This work is motivated by the universal approximation theorem for functionals (Chen & Chen, 1993. IEEE Trans. Neural Netw.4, 910-918 (doi10.1109/72.286886)), and it is the first implementation of such theory to realistic engineering problems.Mobile learning has been increased in past years and has attracted the interests of academicians and educators in the past many years especially in higher education. The mobile-based online test is the buzzing in the current pandemic time. Institutions need to use online learning as a powerful tool for conducting exams and assess the students effectively. Integrating technology in education can be advantageous for universities and help engage better results for students. Therefore, it is important to understand each student their capacities and create a different test based on the required difficulty. Students should be graded based on their capabilities. The purpose of the research study is to develop the progressive model with the calibration of difficulty level according to the student capacity. To achieve the goal, a test of 20 python questions was conducted on 120 students with each question having difficulty given by 8 field experts. To verify the model, 5 categories were formed with different difficultasons for this are difficult to grade everyone at the same level, susceptible to cheating, and transition to open books. Using our study, universities can identify obstacles, and prepare an appropriate result-driven plan of action for implementing the mobile-based online test and make easy migration from paper-based test to online test.Since the outbreak of the COVID-19 pandemic, most countries have recommended their citizens to adopt social distance, hand hygiene, and face mask wearing. However, wearing face masks has not been well adopted by many citizens. While the reasons are complex, there is a general perception that the evidence to support face mask wearing is lacking, especially for the general public in a community setting. Face mask wearing can block or filter airborne virus-carrying particles through the working of colloid and interface science. This paper assesses current knowledge behind the design and functioning of face masks by reviewing the selection of materials, mask specifications, relevant laboratory tests, and respiratory virus transmission trials, with an overview of future development of reusable masks for the general public. This review highlights the effectiveness of face mask wearing in the prevention of COVID-19 infection.To prevent the spread of COVID-19 (2019 novel coronavirus), from January 23 to April 8 in 2020, the highest Class 1 Response was ordered in Wuhan, requiring all residents to stay at home unless absolutely necessary. This action was implemented to cut down all unnecessary human activities, including industry, agriculture and transportation. Reducing these activities to a very low level during these hard times meant that some unprecedented naturally occurring measures of controlling emissions were executed. Ironically, however, after these measures were implemented, ozone levels increased by 43.9%. Also worthy of note, PM2.5 decreased 31.7%, which was found by comparing the observation data in Wuhan during the epidemic from 8th Feb. to 8th Apr. in 2020 with the same periods in 2019. Utilizing CMAQ (The Community Multiscale Air Quality modeling system), this article investigated the reason for these phenomena based on four sets of numerical simulations with different schemes of emission reduction. Comparing the .m. of the day, while increasing the concentration of O3 at night during the COVID-19 lockdown in Wuhan. The higher O3 concentration in the North-East of the main urban area also contributed to the increasing of O3 with unfavorable wind direction.This study provided a telehealth program for kindergarten and nursery teachers in charge of children with, or suspected of having, developmental disabilities. We examined teacher participation, behavior intervention plans (BIP), practice, and improvement of children's behavior. Six sessions of online lectures and two online consultations based on functional behavioral assessments (FBA) were held. All ten teachers conducted the FBA, and seven created the BIP. Additionally, six out of seven teachers recorded their children's problem behaviors, showing improvement in the problem behavior of these children. Moreover, the non-targeted problem behaviors also showed improvement following the intervention.Gastrointestinal stromal tumors (GISTs) originate from mesenchymal cells throughout the gastrointestinal tract. A common symptom is gastrointestinal hemorrhage; intra-abdominal hemorrhage is relatively rare. There are few reports of GIST presenting with both types of hemorrhage concurrently. A 77-year-old man was admitted to our hospital because of melena and anemia (Hb 4.7 g/dL). Computed tomography revealed a small bowel tumor and high-density fluid in both the small intestine and the pelvic floor. We diagnosed a small intestinal tumor with concurrent gastrointestinal and intra-abdominal hemorrhage, and performed emergency surgery. The tumor arose from the small intestine and was ruptured. We found hemorrhage in the pelvic cavity and performed partial small intestine resection. Pathological findings revealed that the tumor was positive for c-Kit protein and was diagnosed as GIST. The patient was discharged from the hospital on postoperative day 9 and received imatinib 1 month postoperatively. We experienced a very rare case of ruptured GIST originating from the small intestine associated with both gastrointestinal and intra-abdominal hemorrhage.