Gamification in Proprietary Innovation: Identifying a Technical Framework Based on Patent Data.

This paper reveals dominant patterns of gamification in proprietary innovation and develops a technical framework. In recent years, a rash increase in securitizing gamification-related inventions has taken place. By analyzing the content of 134 unique patents from USPTO and EPO with an in-depth raw data text analysis, the technical background is explored holistically. To discover meaningful patterns and thus to derive implications from the patent data they are visually summarized. Especially predominant are the topics of device, data, user and game. Based on the nature of the data, being evidence-based and future directed, our technical framework integrates these patterns and sets it into relation. An additional analysis provides further insights into fundamental game elements. As patents serve as a decisive indicator of future product introductions, the information gathered in this paper represents essential strategic information to guide practitioners and researchers in the area of gamification

A Smart Robotic System for Industrial Plant Supervision

In today's chemical plants, human field operators perform frequent integrity checks to guarantee high safety standards, and thus are possibly the first to encounter dangerous operating conditions. To alleviate their task, we present a system consisting of an autonomously navigating robot integrated with various sensors and intelligent data processing. It is able to detect methane leaks and estimate its flow rate, detect more general gas anomalies, recognize oil films, localize sound sources and detect failure cases, map the environment in 3D, and navigate autonomously, employing recognition and avoidance of dynamic obstacles. We evaluate our system at a wastewater facility in full working conditions. Our results demonstrate that the system is able to robustly navigate the plant and provide useful information about critical operating conditions.Comment: Final submission for IEEE Sensors 202

Research On and Activities For Mathematically Gifted Students

This Topical Survey offers a brief overview of the current state of research on and activities for mathematically gifted students around the world. This is of interest to a broad readership, including educational researchers, research mathematicians, mathematics teachers, teacher educators, curriculum designers, doctoral students, and other stakeholders. It first discusses research concerning the nature of mathematical giftedness, including theoretical frameworks and methodologies that are helpful in identifying and/or creating mathematically gifted students, which is described in this section. It also focuses on research on and the development of mathematical talent and innovation in students, including connections between cognitive, social and affective aspects of mathematically gifted students. Exemplary teaching and learning practices, curricula and a variety of programs that contribute to the development of mathematical talent, gifts, and passion are described as well as the pedagogy and mathematics content suitable for educating pre-service and in-service teachers of mathematically gifted students. The final section provides a brief summary of the paper along with suggestions for the research, activities, and resources that should be available to support mathematically gifted students and their teachers, parents, and other stakeholders

Le Monument de Strasbourg à Bâle. Inauguration le 20 octobre 1895

Appartient à l’ensemble documentaire : BNUStr003Appartient à l’ensemble documentaire : BNUStras

In Vitro Impact of Human Milk Oligosaccharides on Enterobacteriaceae Growth

Human milk oligosaccharides (HMOs) function as prebiotics in the infant gut by selecting for specific species of bifidobacteria and bacteroides, but little is known about their potential utilization by Enterobacteriaceae, the relative numbers of which have been linked to the onset of necrotizing enterocolitis in preterm infants. In this study, the in vitro growth of purified HMOs and other related carbohydrates was evaluated using individual strains of Enterobacteriaceae and an Enterobacteriaceae consortia enriched from piglet feces. None of the Enterobacteriaceae strains grew on 2′-fucosyllactose, 6′-sialyllactose, or lacto-<i>N</i>-neotetraose (LNnT); however, several strains were capable of utilizing galactooligosaccharides, maltodextrin, and the mono- and disaccharide components of HMOs for growth. The enriched fecal consortia also did not grow on 2′-fucosyllactose or 6′-sialyllactose, but there was limited growth on LNnT. It was concluded that 2′-fucosyllactose and 6′-sialyllactose supplementation of preterm infant formula should not lead to an increase in Enterobacteriaceae; however, supplementation with LNnT may require further study

Programming for parallelism and locality with hierarchically tiled arrays

Tiling has proven to be an effective mechanism to develop high performance implementations of algorithms. Tiling can be used to organize computations so that communication costs in parallel programs are reduced and locality in sequential codes or sequential components of parallel programs is enhanced. In this paper, a data type- Hierarchically Tiled Arrays or HTAs- that facilitates the direct manipulation of tiles is introduced. HTA operations are overloaded array operations. We argue that the implementation of HTAs in sequential OO languages transforms these languages into powerful tools for the development of high-performance parallel codes and codes with high degree of locality. To support this claim, we discuss our experiences with the implementation of HTAs for MATLAB and C++ and the rewriting of the NAS benchmarks and a few other programs into HTA-based parallel form