185 research outputs found
Acute hypoglycemia impairs executive cognitive function in adults with and without type 1 diabetes
No full textOBJECTIVE Acute hypoglycemia impairs cognitive function in several domains. Executive cognitive function governs organization of thoughts, prioritization of tasks, and time management. This study examined the effect of acute hypoglycemia on executive function in adults with and without diabetes.RESEARCH DESIGN AND METHODS Thirty-two adults with and without type 1 diabetes with no vascular complications or impaired awareness of hypoglycemia were studied. Two hyperinsulinemic glucose clamps were performed at least 2 weeks apart in a single-blind, counterbalanced order, maintaining blood glucose at 4.5 mmol/L (euglycemia) or 2.5 mmol/L (hypoglycemia). Executive functions were assessed with a validated test suite (Delis-Kaplan Executive Function). A general linear model (repeated-measures ANOVA) was used. Glycemic condition (euglycemia or hypoglycemia) was the within-participant factor. Between-participant factors were order of session (euglycemia-hypoglycemia or hypoglycemia-euglycemia), test battery used, and diabetes status (with or without diabetes).RESULTSCompared with euglycemia, executive functions (with one exception) were significantly impaired during hypoglycemia; lower test scores were recorded with more time required for completion. Large Cohen d values (>0.8) suggest that hypoglycemia induces decrements in aspects of executive function with large effect sizes. In some tests, the performance of participants with diabetes was more impaired than those without diabetes.CONCLUSIONS Executive cognitive function, which is necessary to carry out many everyday activities, is impaired during hypoglycemia in adults with and without type 1 diabetes. This important aspect of cognition has not received previous systematic study with respect to hypoglycemia. The effect size is large in terms of both accuracy and speed.</p
WebPut: efficient web-based data imputation
No full textIn this paper, we present WebPut, a prototype system that adopts a novel web-based approach to the data imputation problem. Towards this, Webput utilizes the available information in an incomplete database in conjunction with the data consistency principle. Moreover, WebPut extends effective Information Extraction (IE) methods for the purpose of formulating web search queries that are capable of effectively retrieving missing values with high accuracy. WebPut employs a confidence-based scheme that efficiently leverages our suite of data imputation queries to automatically select the most effective imputation query for each missing value. A greedy iterative algorithm is also proposed to schedule the imputation order of the different missing values in a database, and in turn the issuing of their corresponding imputation queries, for improving the accuracy and efficiency of WebPut. Experiments based on several real-world data collections demonstrate that WebPut outperforms existing approaches
An Analysis of Speaking Errors of English Club Participants at SMKS Sempena Rokan Hilir
No full textABSTRACT
DELIS RAHAYU (2022): An Analysis of Speaking Errors of English Club Participants at SMKS Sempena Rokan Hilir
The author wrote this research to describe the type of dominant speaking errors by English club participants at SMKS Sempena Rokan Hilir, to describe the frequency and the dominant type, and to explain the errors. This research was descriptive qualitative research. The researcher collected the video of speaking activities conducted by English club participants and the English teacher. The researcher used transcript from the video as the data source. The researcher employed documentation method to collect the data. There were 39 errors found. The researhcer categorized the speaking errors type and the sources based on the theory of Clark and Clark. The research results were 14 silent pauses (35.89%), 3 filled pauses (7.69%), 16 repetition (41.02%), 2 false start (retraced) (5.12%), 2 interjection (5.12%), 1 stutters (2.56%), and 1 slip of tongue (2.56%)
Database Computing on Clusters of Workstations
No full textThe cooperation between workstations and database servers has become the standard paradigm in database computing. Numerous workstations are usually clustered along with database servers in a LAN to offer high performance processing. There are various ways to organize the resources available in such aggregate architectures. The overall performance of the cluster can be significantly improved when system designers can delegate as much processing as possible to the clients of the cluster and exploit local resources such as disk units, client memory and CPUs. In this paper, we describe our work in this area and outline open problems
WPPS: A Framework for Web Page Processing
No full textIn this paper, we present WPPS, a new configurable Java-based framework for developing web page processing methods. The key innovations of WPPS are 1) a unified ontological model which describes the visual representation of web pages; 2) an API and abstractions which allow the application of both declarative and object-oriented mechanisms to develop new methods and approaches
On the prediction of re-tweeting activities in social networks – a report on WISE 2012 Challenge
No full textThis paper reports on our participation in the Data Mining track of the WISE 2012 Challenge. The challenge is to predict the volume of future re-tweets and possible views for 33 given original short messages (tweets). Towards this, we compare and contrast four different methods and highlight our methods of choice for accomplishing this challenge. The first method is a naïve approach that discovers a regression function based on the popularity of messages and network connectivity. The second approach is to build a classifier that learns a classification model based on the user’s preferences in different categories of topics. The third approach focuses on a network simulation that leverages a Monte Carlo method to simulate re-tweeting paths starting from a root message. The fourth approach uses collaborative filtering to build a recommendation model. The results of these four methods are compared in terms of their effectiveness and efficiency. Finally, insights into predicting message spreading in social networks are also given
The Elderly In a Post-War Shopping Mall: A study on the needs of the elderly in a neighbourhood shopping mall and the preservation of the neighbourhood shopping mall’s values
No full textThis research explores the evolving role of shopping malls in the lives of the growing elderly population in the Netherlands. Delving into the unique needs and desires of the elderly, the study emphasizes diversity, accessibility, community, and inclusivity within shopping centres. The research methodology integrates a comprehensive literature review, a case study of elderly-cantered architectural designs, and structured interviews with elderly individuals. Contrary to the prevalent literature portraying the elderly as fragile and facing significant challenges, the interviews unveil a diverse reality of ageing, emphasizing individuality and varied impacts on daily life. The case study elucidates themes of mobility and social community as crucial elements in the design of age-inclusive spaces. By integrating these perspectives, the research concludes that a one-size-fits-all blueprint for shopping malls is inadequate. Instead, designers should focus on incorporating practical amenities, a diverse shopping environment, promoting community, and ensuring accessibility to cater to the broad spectrum of elderly needs and preferences. Furthermore, the study advocates for ongoing research to understand how the ageing population’s needs influence urban environments and various functions within these spaces. Ultimately, this research envisions an age-inclusive future, where cities and spaces are designed to meet the evolving requirements of an ageing population, promoting inclusive and enjoyable environments for all.Architecture, Urbanism and Building Sciences | Heritage & Architectur
A geography-aware service overlay network for managing moving objects
No full textAs the proliferation of mobile devices and positioning systems continues unabated, the need to provide more robust location-based services becomes more pressing. In this context, we examine the problem of efficiently handling queries over moving objects and propose a location-aware overlay network that helps monitoring such objects while traversing contained geographic extends. We use a triangulation structure to divide a geographic area using fixed service nodes as anchors based on their geographic position. Triangulation inherently contains each moving object within an area designated by three service nodes. We introduce a method for monitoring moving objects and we present an algorithm for processing nearest-neighbor queries while restricting the amount of resources and, subsequently, the volume of transmitted messages. Through simulation, we evaluate the suggested approach and show that our nearest-neighbor query processing method provides always accurate results while it uses invariantly a constant number of service nodes. We finally show that the average physical distance between service and roaming nodes remains limited; this yields a significant number of physical connections that avoid conventional Internet routing altogether.publishe
A Case for Real-Time Client-Server Databases
No full textIn this paper, we propose the use of Client-Server database systems in real-time transaction processing environments. Modern real-time applications often function along with large data sets. Hence, the use of database systems that can handle such sets within predefined deadlines is a key challenge. We examine real-time processing scheduling issues using the popular Client-Server model as our underlying framework and carry out a performance scalability study. Our experimental results indicate that Real-Time Client-Server Databases could indeed provide significant performance gains over centralized configurations. To appear in the 2nd International Real-Time Database Workshop, Burlington, VT, Sept. 18-19, 1997. This work was supported in part by the Center for Advanced Technology in Telecommunications (CATT). 1 1 Introduction The support of applications in large-scale financial environments [Sie96], wireless directory services, and Personal Communication Systems (PCS) [QL95], ..
Management of Updates in the Enhanced Client-Server DBMS
No full textThe Client--Server DBMS model has emerged as the main paradigm in database computing. The Enhanced Client--Server architecture takes advantage of all the available client resources including their disk managers. Clients can cache server data into their own disk units if data are part of their operational space. However, when updates occur at the server, some of the client data managers may need to not only be notified about them but also obtain portions of the updates as well. In this paper, we examine the problem of managing server imposed updates that affect client cached data. We propose a number of server update propagation techniques in the context of the Enhanced Client--Server DBMS architecture and examine the performance of these strategies through detailed simulation experiments. 1 Introduction In recent years, we have seen a number of important technology developments, namely, the wide availability of inexpensive workstations and PCs, the introduction of large, fast and rel..
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