Nonlinear thermal transport and negative differential thermal conductance in graphene nanoribbons

We employ classical molecular dynamics to study the nonlinear thermal transport in graphene nanoribbons (GNRs). For GNRs under large temperature biases beyond linear response regime, we have observed the onset of negative differential thermal conductance (NDTC). NDTC is tunable by varying the manner of applying the temperature biases. NDTC is reduced and eventually disappears when the length of the GNR increases. We have also observed NDTC in triangular GNRs, where NDTC exists only when the heat current is from the narrower to the wider end. These effects may be useful in nanoscale thermal managements and thermal signal processing utilizing GNRs.Comment: 5 pages, 4 figure

Continuously Variable Rotorcraft Propulsion System: Modelling and Simulation

This study explores the variable speed operation and shift response of a prototype of a two speed single path CVT rotorcraft driveline system. Here a Comprehensive Variable Speed Rotorcraft Propulsion system Modeling (CVSRPM) tool is developed and utilized to simulate the drive system dynamics in steady forward speed condition. This investigation attempts to build upon previous variable speed rotorcraft propulsion studies by: 1) Including fully nonlinear first principles based transient gas-turbine engine model 2) Including shaft flexibility 3) Incorporating a basic flight dynamics model to account for interactions with the flight control system. Through exploring the interactions between the various subsystems, this analysis provides important insight into the continuing development of variable speed rotorcraft propulsion systems

Management System for a Restaurant

The Management System for a Restaurant is a web-based application. The main aim is to provide better communication between customers and restaurants. By using this application, the user can order from any location. This application will reduce all the manual processes. So, users can view the restaurant menu from nearby locations, and can place an order and view the status of the order like cooking/packed/delivered. There are three main actors in this application: Admin, Restaurant manager and User. The admin will create all menus with their corresponding price lists. Also, the admin will be able to view statistical reports for foods. Restaurant managers will receive orders from customers. Users/Customers can place orders using this application and they will be able to view available food items. The system is designed as a 3-tier architecture. Each user must register with the system; after logging in successfully, they are able to perform operations. Separate login pages are provided for logging into the system. To develop this system, we use HTML, CSS, JavaScript, and bootstrap for the front end, MySQL database as the back end, and Java, JSP, and JDBC as middleware

Tuning the thermal conductivity of graphene nanoribbons by edge passivation and isotope engineering: a molecular dynamics study

Using classical molecular dynamics simulation, we have studied the effect of edge-passivation by hydrogen (H-passivation) and isotope mixture (with random or supperlattice distributions) on the thermal conductivity of rectangular graphene nanoribbons (GNRs) (of several nanometers in size). We found that the thermal conductivity is considerably reduced by the edge H-passivation. We also find that the isotope mixing can reduce the thermal conductivities, with the supperlattice distribution giving rise to more reduction than the random distribution. These results can be useful in nanoscale engineering of thermal transport and heat management using GNRs.Comment: 4 pages, 4 figure

Maize Provitamin A Carotenoids, Current Resources, and Future Metabolic Engineering Challenges

Vitamin A deficiency is a serious global health problem that can be alleviated by improved nutrition. Development of cereal crops with increased provitamin A carotenoids can provide a sustainable solution to eliminating vitamin A deficiency worldwide. Maize is a model for cereals and a major staple carbohydrate source. Here, we discuss maize carotenogenesis with regard to pathway regulation, available resources, and current knowledge for improving carotenoid content and levels of provitamin A carotenoids in edible maize endosperm. This knowledge will be applied to improve the nutritional composition of related Poaceae crops. We discuss opportunities and challenges for optimizing provitamin A carotenoid biofortification of cereal food crops

Comparison of social bot detection techniques

Online Social Networks act as a major platform for communication. The origin of social bots is one of the consequences of increasing popularity and utilization of social networks by people. A social bot is an automated application that clones the behavior of a human and creates a faux impression on real users. The Social bot can be classified as either benign and malicious based on their actions. Benign bots are used to perform tasks a lot quicker than humans, sharing vital information like weather reports, etc. Whereas, malicious bots begrime the social media with false information and may also be involved in malicious activities such as spamming, stealing private information, creating noise within the conversations, etc. This nature of bots led to the necessity of social bot detection techniques.Various social bot detection techniques have been proposed based on different algorithms. In this research, proposed social bot detection techniques are reviewed and several of them are implemented. A comparison of these techniques based on their input requirements, approach, and accuracy is performed. The implementation of the techniques has been applied to three completely different data sets collected from the Twitter social network. Four metrics: precision, recall, accuracy, and Cohen's Kappa coefficient are calculated using the results obtained by implementing the techniques. These metrics have been used to decide the efficiency of techniques and provide a comparison of them

Verifiable Secret Key Generation for Ranked Multi-Keyword Search in Cloud

Cloud storage is exceptionally well known in ongoing pattern as it gives more advantages over the customary storage arrangements. To guarantee security in cloud, encryption methods assume a noteworthy part when data are outsourced to the cloud. The issue of recovering the encrypted data over the cloud is mind boggling. Numerous search procedures are utilized for recovering the scrambled data from cloud. This paper axes around an arrangement of keyword Search instruments over encrypted data, which gives secured data recovery high proficiency. Search over encrypted data is a method of extraordinary enthusiasm for the cloud computing time, in light of the fact that numerous trust that delicate data must be scrambled before outsourcing to the cloud servers with a specific end goal to guarantee client data security. Concocting a productive and secure search scheme over scrambled data includes strategies from ple spaces. It presumes that, keyword search is intended to be best methodology for searching the encrypted data in the Cloud. It gives more productivity than single keyword search

Improving the handover process in a psychiatry liaison setting

Efficient handover of patient care is integral to clinical safety. Barriers in communication can lead to adverse outcomes. The Integrated Liaison Assessment Team (ILAT) has a daily handover meeting which presents several challenges to the multidisciplinary liaison team (MDT including high patient turnover, differing staff shift-work patterns, presence of visitors/students and lack of a unified approach to structured discussion at times. Areas identified for improvement included optimising efficiency, structure and handover documentation. Lack of teaching and learning opportunities were also identified. The primary aim was to reduce handover time to 30 min. The secondary aims were to improve communication by introducing the Situation-Background-Assessment-Recommendation (SBAR) tool, improve team satisfaction and introduce a teaching programme in the time saved. The Model for Improvement methodology was used with MDT focus groups and questionnaires to explore change ideas. This informed our 'Plan, Do, Study, Act' cycles to design a structured handover. Daily measures looked at handover length and individual team member satisfaction. Weekly measures included semiqualitative questionnaires highlighting areas for improvement. Feedback was gathered from emails and MDT discussions. A structured handover format incorporating SBAR, key task allocation and a shift handover lead was introduced. A regular MDT teaching programme was initiated. Over 4 weeks, 'Good' handover ratings increased from 22% to 65%; 'Poor' ratings decreased from 25% to 8%. Mean handover time decreased from 47 min to 31.25 min; a decrease of 33.5%. Overall, the team viewed SBAR positively as an efficiency-promoting tool. Structured handover has promoted staff competencies, team morale and information sharing practices among ILAT. MDT teaching improved team communication and confidence. Sustaining motivation to keep up interventions and documentation of handover were identified as key areas for sustained improvement