Commentary - Methods to find all the edges on any of the shortest paths between two given nodes of a directed acyclic graph

This article puts forth all the existing methods proposed by the various authors of the Stack Exchange community to find all the edges on any shortest path between two given nodes of a directed acyclic graph. For a directed acyclic graph with N number of nodes, an exponential number of paths are possible between any two given nodes and, thus, it is not feasible to compute every path and find the shortest ones in polynomial time to generate a set of all edges that contribute or make any of the shortest paths. The methods discussed in this article are not limited only to this specific use case, but have a much broader scope in graph theory, dynamic programming and counting problems. Generally, various other questions and answers, raised on the community portal having similar scope to those that the users specifically seek, do not receive sufficient hits and, hence, enough attention and votes for various reasons worth contemplating. Therefore, this article also aims to highlight the various scopes of the methods discussed in this article and acknowledge the efforts of the authors, moderators and contributors of the Stack Exchange community for their expertise and time to write precise answers and share their opinions and advice. Finally, it also appeals to all the other beneficiaries in the community to use their privileges responsibly and upvote the posted answers, if they helped solve their queries, as one upvote is free of cost.

Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign

In July 2018, the International Society for Atmospheric Research using Remotely piloted Aircraft (ISARRA) hosted a flight week to showcase the role remotely piloted aircraft systems (RPASs) can have in filling the atmospheric data gap. This campaign was called Lower Atmospheric Process Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE). In support of this campaign, ground-based remote and in situ systems were also deployed for the campaign. The University of Oklahoma deployed the Collaborative Lower Atmospheric Mobile Profiling System (CLAMPS), the University of Colorado deployed two Doppler wind lidars, and the National Severe Storms Laboratory deployed a mobile mesonet with the ability to launch radiosondes. This paper focuses on the data products from these instruments that result in profiles of the atmospheric state. The data are publicly available in the Zenodo LAPSE-RATE community portal (https://zenodo.org/communities/lapse-rate/, 19 January 2021). The profile data discussed are available at https://doi.org/10.5281/zenodo.3780623 (Bell and Klein, 2020), https://doi.org/10.5281/zenodo.3780593 (Bell et al., 2020b), https://doi.org/10.5281/zenodo.3727224 (Bell et al., 2020a), https://doi.org/10.5281/zenodo.3738175 (Waugh, 2020b), https://doi.org/10.5281/zenodo.3720444 (Waugh, 2020a), and https://doi.org/10.5281/zenodo.3698228 (Lundquist et al., 2020).

Don't Be a Ghost Who Drops Grades in Blackboard

This chapter presents the results of a program evaluation conducted to assess the effectiveness of an online doctoral program in educational leadership at a Research One University from the perspective of its students. Feedback was sought from over 80 currently enrolled students. The study focused on three aspects of the program, namely faculty social and cognitive presence. Recent changes to the program that address these areas include the creation of a thematic group model that clusters students based on academic interests over the last 2 years of the program, extensive revisions to coursework, the adoption of a problem-based dissertation model, and the use of social media and an online community portal to promote student engagement. The results indicate that although students had encountered positive experiences in all three areas, online doctoral students continue to need focused individual mentoring in order to experience success.

Remote sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign

In July 2018, the International Society for Atmospheric Research using Remotely-piloted Aircraft (ISARRA) hosted a flight week to showcase the role remotely-piloted aircraft systems (RPAS) can have in filling the atmospheric data gap.This campaign was dubbed Lower Atmospheric Process Studies at Elevation – A Remotely-piloted Aircraft Team Experiment(LAPSE-RATE). In support of this campaign, ground-based remote and in-situ systems were also deployed for the campaign.The University of Oklahoma deployed the Collaborative Lower Atmospheric Mobile Profiling System (CLAMPS), the University of Colorado deployed two Doppler wind lidars, and the National Severe Storms Lab deployed a Mobile Mesonet with the ability to launch radiosondes. This paper focuses on the data products from these instruments that result in pro-files of the atmospheric state. The data are publicly available in the Zenodo LAPSE-RATE community portal (https://zenodo.org/communities/lapse-rate/). The profile data discussed are available at https://doi.org/10.5281/zenodo.3780623 (Bell and Klein, 2020), https://doi.org/10.5281/zenodo.3780593 (Bell et al., 2020b), https://doi.org/10.5281/zenodo.3727224 (Bell et al., 2020a), https://doi.org/10.5281/zenodo.3738175 (Waugh, 2020b), https://doi.org/10.5281/zenodo.3720444 (Waugh, 2020a),and https://doi.org/10.5281/zenodo.3698228 (Lundquist et al., 2020).

Automated Student Community Portal

Student Portal is an interface used to associate with the students in a university. The application is basically classified into two categories such as Community Portal and Registration Desk. The application permits the enrolled user to login and a new user is allowed to enroll. Community portal contains forums including event queries, placement queries, fresher queries, sports queries. Event designer creates an event, all users willing to take part in the event must register by filling out the form. Event managers sign in and download registered users data from application

Don't Be a Ghost Who Drops Grades in Blackboard

This chapter presents the results of a program evaluation conducted to assess the effectiveness of an online doctoral program in educational leadership at a Research One University from the perspective of its students. Feedback was sought from over 80 currently enrolled students. The study focused on three aspects of the program, namely faculty social and cognitive presence. Recent changes to the program that address these areas include the creation of a thematic group model that clusters students based on academic interests over the last 2 years of the program, extensive revisions to coursework, the adoption of a problem-based dissertation model, and the use of social media and an online community portal to promote student engagement. The results indicate that although students had encountered positive experiences in all three areas, online doctoral students continue to need focused individual mentoring in order to experience success.

BIM and Interoperability for Cultural Heritage Through ICT

This chapter presents a methodology based on Building Information Modelling (BIM) and interoperability to convert existing buildings, even historical, into smart buildings. The chapter starts describing the main concepts of BIM and interoperability in the Architecture, Engineer and Construction (AEC) industry with special attention on integrating information from heterogeneous devices deployed in the building. Then, it details the SEEMPubS (Smart Energy Efficient Middleware for Public Buildings) middleware, which consists on three layers: (i) Integration Layer, (ii) Middleware Layer, and (iii) Application Layer. The validation of the most significant results is presented using both gamification and technical approaches involving different end-users. Finally, Apps for data management are introduced with a Community Portal and an Android Application for real-time data visualization. Future works introduce the integration of smart building into smart district context.