Exploring New Approaches to the Organization of Knowledge: The Subject Classification of James Duff Brown

James Duff Brown was an infl uential and energetic librarian in Great Britain in the late nineteenth and early twentieth centuries. His Subject Classifi - cation has characteristics that were unusual and idiosyncratic during his own time, but his work deserves recognition as one of the precursors of modern bibliographic classifi cation systems. This article discusses a number of theories and classifi cation practices that Brown developed. In particular, it investigates his views on the order of main classes, on the phenomenon of ???concrete??? subjects, and on the need for synthesized notations. It traces these ideas briefl y into the future through the work of S. R. Ranganathan, the Classifi cation Research Group, and the second edition of the Bliss Bibliographic Classifi cation system. It concludes that Brown???s work warrants further study for the light it may shed on current classifi cation theory and practice.published or submitted for publicatio

Increasing self-efficacy with diabetes cooking schools

Dining with Diabetes, a diabetes cooking school program offered through West Virginia University Extension Service, targets dietary self-management and is guided by Social Cognitive Theory. This study compared two convenience samples of persons with diabetes. One group attended the program, (experimental, n = 34) the other, (comparison, n = 13) did not. The groups were evaluated at baseline and three-month post-test regarding knowledge about dietary management of diabetes, skill and self-efficacy in preparing simple recipes. Four participants in the experimental group (11.4%) and one person from the comparison group (7.7%) had increases in all three areas. The study also assessed Stage of Change regarding specific dietary behavior changes. Of those who had increases in knowledge, skill and self-efficacy, three in the experimental group and one in the comparison group had forward stage movement. Significant increases were seen in program participants regarding knowledge about artificial sweeteners and olive or canola usage

Long-Horizon Task Planning and Execution with Functional Object-Oriented Networks

Following work on joint object-action representation, functional object-oriented networks (FOON) were introduced as a knowledge representation for robots. A FOON contains symbolic (high-level) concepts useful to a robot's understanding of tasks and its environment for object-level planning. Prior to this work, little has been done to show how plans acquired from FOON can be executed by a robot, as the concepts in a FOON are too abstract for immediate execution. We propose a hierarchical task planning approach that translates a FOON graph into a PDDL-based representation of domain knowledge for task planning and execution. As a result of this process, a task plan can be acquired, which can be executed by a robot from start to end, leveraging the use of action contexts and skills as dynamic movement primitives (DMPs). We demonstrate the entire pipeline from planning to execution using CoppeliaSim and show how learned action contexts can be extended to never-before-seen scenarios.Comment: Preliminary Draft, 8 pages, IEEE Conference Forma

Information and communication technology solutions for outdoor navigation in dementia

INTRODUCTION: Information and communication technology (ICT) is potentially mature enough to empower outdoor and social activities in dementia. However, actual ICT-based devices have limited functionality and impact, mainly limited to safety. What is an ideal operational framework to enhance this field to support outdoor and social activities? METHODS: Review of literature and cross-disciplinary expert discussion. RESULTS: A situation-aware ICT requires a flexible fine-tuning by stakeholders of system usability and complexity of function, and of user safety and autonomy. It should operate by artificial intelligence/machine learning and should reflect harmonized stakeholder values, social context, and user residual cognitive functions. ICT services should be proposed at the prodromal stage of dementia and should be carefully validated within the life space of users in terms of quality of life, social activities, and costs. DISCUSSION: The operational framework has the potential to produce ICT and services with high clinical impact but requires substantial investment

Challenges for the comprehensive management of cloud services in a PaaS framework

The 4CaaSt project aims at developing a PaaS framework that enables flexible definition, marketing, deployment and management of Cloud-based services and applications. The major innovations proposed by 4CaaSt are the blueprint and its lifecycle management, a one stop shop for Cloud services and a PaaS level resource management featuring elasticity. 4CaaSt also provides a portfolio of ready to use Cloud native services and Cloud-aware immigrant technologies

Mapping natural language procedures descriptions to linear temporal logic templates: an application in the surgical robotic domain

Natural language annotations and manuals can provide useful procedural information and relations for the highly specialized scenario of autonomous robotic task planning. In this paper, we propose and publicly release AUTOMATE, a pipeline for automatic task knowledge extraction from expert-written domain texts. AUTOMATE integrates semantic sentence classifcation, semantic role labeling, and identifcation of procedural connectors, in order to extract templates of Linear Temporal Logic (LTL) relations that can be directly implemented in any sufciently expressive logic programming formalism for autonomous reasoning, assuming some low-level commonsense and domain-independent knowledge is available. This is the frst work that bridges natural language descriptions of complex LTL relations and the automation of full robotic tasks. Unlike most recent similar works that assume strict language constraints in substantially simplifed domains, we test our pipeline on texts that refect the expressiveness of natural language used in available textbooks and manuals. In fact, we test AUTOMATE in the surgical robotic scenario, defning realistic language constraints based on a publicly available dataset. In the context of two benchmark training tasks with texts constrained as above, we show that automatically extracted LTL templates, after translation to a suitable logic programming paradigm, achieve comparable planning success in reduced time, with respect to logic programs written by expert programmer

Building coalitions, creating change: An agenda for gender transformative research in agricultural development

The CGIAR Research Program on Aquatic Agricultural Systems (AAS) has developed its Gender Research in Development Strategy centered on a transformative approach. Translating this strategy into actual research and development practice poses a considerable challenge, as not much (documented) experience exists in the agricultural sector to draw on, and significant innovation is required. A process of transformative change requires reflecting on multiple facets and dimensions simultaneously. This working paper is a collation of think pieces, structured around broad the mes and topics, reflecting on what works (and what does not) in the application of gender transformative approaches in agriculture and other sectors, and seeking to stimulate a discussion on the way forward for CGIAR Research Programs (CRPs) and other programs to build organizational capacities and partnerships

SIFT: Building an Internet of safe Things

As the number of connected devices explodes, the use scenarios of these devices and data have multiplied. Many of these scenarios, e.g., home automation, require tools beyond data visualizations, to express user intents and to ensure interactions do not cause undesired effects in the physical world. We present SIFT, a safety-centric programming platform for connected devices in IoT environments. First, to simplify programming, users express high-level intents in declarative IoT apps. The system then decides which sensor data and operations should be combined to satisfy the user requirements. Second, to ensure safety and compliance, the system verifies whether conflicts or policy violations can occur within or between apps. Through an office deployment, user studies, and trace analysis using a large-scale dataset from a commercial IoT app authoring platform, we demonstrate the power of SIFT and highlight how it leads to more robust and reliable IoT apps