Institutional-Grade Properties: Performance and Ownership

Quality commercial properties differ in operating performance not only on physical characteristics but in type of ownership, management, and control. For 1996?001 data on Atlanta apartments, a primary market for multiple types of investors, there is varying operating performance by ownership. Larger-scale owners and local property managers earn higher effective rents.

How well do drivers adapt to remote operation? Learning from remote drivers with on-road experience

Remote driving is a promising strategy for helping Autonomous Vehicles (AVs) navigate many environments where edge cases may otherwise limit their abilities. For some companies, remote driving is an alternative to AVs altogether. Much remote driving research has taken place in simulated or controlled environments with novice operators, leaving the needs of operators with real-world experience under-explored. This research aims to understand if experienced operators are satisfied with current production remote driving systems, if they adapt to the difference in control, and how their job satisfaction compares to in-vehicle safety driving. This paper briefly overviews recent remote driving research and presents results from a questionnaire and a semi-structured interview with experienced teleoperators. The findings indicate that operators do adjust to the new domain, but latency and network reliability remain a challenge. Likewise, standardised training practices for operators are found to be lacking

Teaching Introductory Statistics with DataCamp

We designed a sequence of courses for the DataCamp online learning platform that approximates the content of a typical introductory statistics course. We discuss the design and implementation of these courses and illustrate how they can be successfully integrated into a brick-and-mortar class. We reflect on the process of creating content for online consumers, ruminate on the pedagogical considerations we faced, and describe an R package for statistical inference that became a by-product of this development process. We discuss the pros and cons of creating the course sequence and express our view that some aspects were particularly problematic. The issues raised should be relevant to nearly all statistics instructors. Supplementary materials for this article are available online

Best-in-Class Global Bumper Reinforcement Beam

Modern bumper systems are governed by laws and regulations imposed separately by various countries. Today, the regulations in China, North America, and Europe are becoming more similar, but there is not a widely accepted bumper reinforcement that meets the requirements of all markets around the globe. A universal bumper reinforcement beam incorporating Plug-n-Play techniques was developed to meet and exceed all testing requirements and performance standards of each country. These Plug-n-Play techniques consist of adding energy absorbing attachments to the front of a base bumper beam. Simple beam analysis and FEA were the primary analysis tools in the development of the bumper beam system. Plug & Play techniques were utilized to increase the performance of the universal bumper across all markets

Reflections on Experiences Abroad

Reflections on Experiences Abroad is a collection of essays written by Ouachita Baptist University faculty and staff who have lived outside of the United States. Students in Professor Margaret Reed\u27s Fall 2022 ENGL 3383 Editing class copyedited and helped prepare this volume. It is a one-time publication that gave Reed\u27s students an opportunity to demonstrate their editing skills at the end of the course. The student editors were Darby Jones, Sydney Motl, and Addie Woods

An Educator’s Perspective of the Tidyverse

Computing makes up a large and growing component of data science and statistics courses. Many of those courses, especially when taught by faculty who are statisticians by training, teach R as the programming language. A number of instructors have opted to build much of their teaching around use of the tidyverse. The tidyverse, in the words of its developers, “is a collection of R packages that share a high-level design philosophy and low-level grammar and data structures, so that learning one package makes it easier to learn the next” (Wickham et al. 2019). These shared principles have led to the widespread adoption of the tidyverse ecosystem. A large part of this usage is because the tidyverse tools have been intentionally designed to ease the learning process and make it easier for users to learn new functions as they engage with additional pieces of the larger ecosystem. Moreover, the functionality offered by the packages within the tidyverse spans the entire data science cycle, which includes data import, visualisation, wrangling, modeling, and communication. We believe the tidyverse provides an effective and efficient pathway for undergraduate students at all levels and majors to gain computational skills and thinking needed throughout the data science cycle. In this paper, we introduce the tidyverse from an educator’s perspective. We provide a brief introduction to the tidyverse, demonstrate how foundational statistics and data science tasks are accomplished with the tidyverse, and discuss the strengths of the tidyverse, particularly in the context of teaching and learning

On completeness of reducibility candidates as a semantics of strong normalization

This paper defines a sound and complete semantic criterion, based on reducibility candidates, for strong normalization of theories expressed in minimal deduction modulo \`a la Curry. The use of Curry-style proof-terms allows to build this criterion on the classic notion of pre-Heyting algebras and makes that criterion concern all theories expressed in minimal deduction modulo. Compared to using Church-style proof-terms, this method provides both a simpler definition of the criterion and a simpler proof of its completeness.Comment: 24 page

Severe Arsenic Poisoning Due to Ayurvedic Supplements

Patients that are taking Ayurvedic supplements have an increased risk of heavy metal toxicity. Lead, arsenic, and mercury are frequently identified in these supplements and can cause clinically significant toxicity. Clinicians should screen patients routinely for use of non-pharmaceutical medications and supplements

Human involvement in autonomous decision-making systems. Lessons learned from three case studies in aviation, social care and road vehicles

This paper draws on three case studies to examine some of the challenges and tensions involved in the use of Autonomous Decision-Making Systems (ADMS). In particular, the paper highlights: (i) challenges around the shifting “locale” of the decision, and the associated consequences for stakeholders; (ii) potential implications for stakeholders from regulation such as the General Data Protection Regulation (GDPR); (iii) the different values that stakeholder groups bring to the “decision” question; (iv) how complex pre-existing webs of stakeholders and decision-making authorities may be disrupted or disempowered by the use of an automated system and the lack of evaluation of possible consequences; (v) how ADMS for non-technical users can lead to circumvention of the boundaries of intended system use. We illustrate these challenges through case studies in three domains: adult social care, aviation, and vehicle driver monitoring systems. The paper closes with recommendations for both practice and policy in the deployment of ADMS