This is the first known study to explore the use of sleep aids among Emergency Medicine residents, or among sub- ject groups known to be at risk of fatigue and sleepiness;
there is a dearth of data against which to compare our results. Sleep aid use in EM residents responding to this survey was higher than that reported for a general popula- tion survey of adults aged 18–45 in Detroit; in that study 18% used medications, 13% used alcohol, and 5% used medications and alcohol to facilitate sleep . The higher prevalence of sleep aid use in our study may be associated with the stressors of shift work and the emo- tional stress of the emergency department. While we can formulate hypotheses on cause and effect of sleep aid use, it should be emphasized that our findings are only associ- ative in nature. Further work is needed to explore predic- tors of sleep aid use, and how sleep aid use may affect performance in resident physicians.
Figure 4. A BC implementation and industry sector
The relationship between company size and implementation of ABC is examined in Figure 5. The Pearson Chi- square statistic indicates that the relationship between these variables is significant at the .05 level. As expected, the largest firms were the most likely to have already implemented ABC while the smallest companies were the most likely to still be using traditional cost systems. This is consistent with the finding of earlier studies suggesting that not many small companies apply modern managerial tools such as ABC . Smalle r firms may not have the diverse mix of products or services that would make the use of ABC beneficial. Also, small firms often operate in a business environment characterized by lack of resources . Without a large staff of specialists, small companies would tend to use a simple costing system .
1.2. Web design guidelines: Rhetorical, empirical, and “click” studies
What are the possible criteria, and sources of guidance to achieve those criteria, that pertain to the performance and design of Websites? Good design requires an understanding of Website users’ tasks, needs, and expectations, and many Web guidelines attempt to address these concerns. While this work may be considered a sub- field of usability, it tends to differ in two respects. First, much Web design guidance tends not to be presented in the context of use goals, but as universals. Second, there is often a less apparent basis in research or a disciplinary foundation than in other usability sub-fields. Hence, much such advice is questionably based in traditional rather than empirical knowledge. Guidance on Web design—from books, Websites, or corporate guidelines—is often aimed at increasing consistency, predictability, and ease of use of Web interfaces. As often as not, guidelines emerge through commonly used graphical user interface elements that become standard, or are based on designer and programmer preferences.
Department of CSE MANIT Bhopal (India)
E-learning is method of distance learning using electronic media, in which learner and instructor interacts via learning content present on web. Semantic web is extension of current web. Semantic web attains importance now a day. For implementing the effective e-learning system, Semantic Web appears as a promising technology. Now, it becomes a need to use semantic nature of web in e-learning. Semantic webbased e-learning is next generation of e-learning. This paper presents the different kind of e-learning models.
1 M.Tech Scholar, 2 Assistant Professor
Department of Computer Science and Engineering, NSS College of Engineering, Palakkad, Kerala, India - 678008
Abstract— The Web service has become an essential concern for developers. Users have to select a service from a number of available services that best fit for their use. It is hard to discover the most appropriate web service from a large collection of web services. Quality of service depends upon the numbers of parameters. Every attribute of the QoS has its own effect on overall quality of service, which will change every time based on the service and user requirement. However, most of the researches in this field have concentrated on the study of each independent attribute of web service or based on their pre-defined priority of attribute. The article presents an overview of challenges that comes in order to select appropriate Web service also it give a road map for future research.
The web services group is part of the Mental Health Informatics Section in the VHA Office of Mental Health Services (VACO-10P4M)
Our mission is to use internet and emerging technologies to support the delivery of evidence-based, recovery-oriented, mental health services to Veterans and their families.
machine-learning techniques are utilized to analyze the user-browsed Web docu- ments, and classification techniques are used to classify the documents into the concepts specified in the global categorization. As a result, the user profiles in these models are a sub-taxonomy of the global categorizations. However, because the categorizations used are not well-constructed ontologies, the user profiles ac- quired in these models cannot describe the specific semantic relations. Instead of classifying interesting documents into the supervised categorizations, Li and Zhong [29, 30] used unsupervised methods to discover interesting patterns from the user-browsed Web documents, and illustrated the patterns to represent user profiles in ontologies. The model developed by  acquired user profiles adap- tively, based on the content study of user queries and online browsing history. In order to acquire user profiles, Chirita et al.  and Teevan et al.  extracted user interests from the collection of user desktop information such as text docu- ments, emails, and cached Web pages. Makris et al.  comprised user profiles by a ranked local set of categories and then utilized Web pages to personalize search results for a user. These non-interviewing techniques, however, have a common limitation of ineffectiveness. Their user profiles usually contain much noise and uncertainties because of the use of automatic acquiring techniques.
“ANDROID & WEBBASED APPLICATION FOR ONLINE VOTING SYSTEM” is an online voting technique.
In this system a person whose age is above 18 years of age can give vote online at voting polling station. There is a database which maintains all the names of voters with complete information are stored.
In this a voter can use his voting right online without any difficulty. He\She has to be registered first for him/her to vote. The database of registered voters is already ready. We have not added registration field in this project. The voter is identified by fingerprint bio-metric scanner with which voter can use to log into the system and enjoy services provided by the system such as voting.
The best hotel is recommended based on the calculated weights.
García approach did not use a structured storage, such as, an ontological knowledge base to store the information about the domain. Wanner et al.  proposed an approach that overcomes this drawback and uses ontology based knowledge base as the main data structure to store information about the environmental domain used for designing an expert system offering personalized support to the citizens in questions related to the environmental conditions in their habitat.
experimentations taking into account human judgments.
The psychometric method used is based on the sum of rank values and the Spearman coefficient of rank-correlation.
Investigational outcome show a substantial communication between the proposed computational measures and human judgments. Compared to related works, our results are better. In order to validate the proposed set of computational measures, we applied them in a content- based image retrieval experimentation using a large image database, the well-known Brodatz catalog, which include 112 programs of 9 metaphors every class for a total of 1008 images. Experimental results show very good results and benchmarking based on precision and recall measures shows a significant improvement in retrieval performance, especially when fusing results returned by each of the two considered representations. Further research related to this work concerns mainly possible derivation of semantically- meaningful features based on the perceptual features used in this work as well as the use of supplementary features, such as arbitrariness, in organizing finally to further improve representation and retrieval effectiveness.
The final section presents some discussion indicating the areas where concept maps may be used for further research.
Concept Maps have been proven to be useful by a lot of researchers in Webbased learning. However, on performing deeper analysis of their usage some critical facts emerge. Firstly, most of the students lack the motivation to use concept maps in learning. This is due to their failure to get a deeper picture of the relationship between learning theories like Cognitive learning, Theory of Meaningful learning, Constructivism etc and their learning implementation. Secondly, concept maps have mostly been generated from historical test records of students. Thus student test items have to be meticulously designed. The fact that most test items are of objective nature may not justify the construction of concept maps from them. Thirdly, literature survey indicates that concept map basedweb learning systems have mostly been constructed for science courses. Their use in the domain of humanities is yet to be investigated. Fourthly, the domain of use of C-Learning has not yet been clearly established.
In my project, I cover two important aspects of self-efficacy: digital skills and alignment of pedagogy. Research shows the lack of technical skills play a substantial role in the integration of technology into the classroom. In a survey, 66% of teachers agreed with this assertion, placing it second only behind insufficient amount of computers (Drossel, Eickelmann & Gerick, 2016). Since many teachers struggle in this area, I understood the importance of creating a project that addresses their needs, so I created an overview of five web-based tools. The web-based tool overview contains a list of its components and their uses. Also, it includes a screencast video that outlines and models step-by-step instructions in implementing or creating a product with the web-based technology. Once teachers finish the screencast video, a link allows teachers to practice using the web-based technology. The research supports essential, “hands-on” training to address insufficient digital skills. Time to experiment with the web-based tool offers a concrete way to learn (Manca & Ranieri, 2017).
increasing exposure of postpartum women to self-help services or web-based treatments.
Irrespective of their anxiety level, women were interested and likely to useweb-based treatments. It might therefore be useful for web-based treatments to identify/screen for different anxiety levels and offer content appropriate for the identified severity. That perceived social support did not have effect on interest and likelihood to useweb-based treatments might be explained by the fact that overall women rated to have high levels of support available. It would be interesting to explore in more depth interest and likelihood to use this type of treatment of women with no or less support.
Department of Computer Science And Engineering Smt. Rajshree Mulak College of Engineering for Women, Nagpur
Abstract: a web base hall booking management system provides the searching facilities based various factor. Web base hall booking management systems are going to develop web portal for searching wedding halls. This web portable is use to check the availability of wedding hence we need not go and visit the place. The user should have wasted his / her time and the money to search for hall. Information of individual’s hall is stored in database. New owner of hall can insert his details in web portal. As he becomes member of web portal he can edit his information and update date of booking.
We can regard a video as a sequence of keyframes.
Local signature is less robust to the changes in frame rate, video length, captions. While global signature is sensitive to changes in contrast, brightness, scale, rotation, camera viewpoint, Different forms which can only make use of single feature to learn the hash code of keyframes, while the individual structural information of each feature type is preserved in using multifeature hashing. Once the hash codes are obtained, only Hamming distance calculation is performed to compute the similarity between videos. Such an operation is very fast, making it possible to perform NDVR over large scale video datasets in real time. Hashing methods implement fast nearest neighbor search in sub- linear time by mapping highly similar data points together.
Determination of value of investment in such systems is the one of the main issues in acquisition and utilization of EIS. A framework has been presented through  to propose the adoption of a hybrid intelligent technique (fuzzy-expert system) in carrying out a cost benefit analysis of EIS investment. The study takes high cognizance of intangible variables and vagueness / imprecision in human group decision making that requires a good level of consensus. The framework identifies a comprehensive list of intangible costs and benefits associated with acquisition, utilization and maintenance of EIS, recognizes the distortion towards qualitative variables, and suggests the qualification of the same using fuzzy linguistic variables. This provides an evidence of use of fuzzy expert system for organizational decision making.
In  Qiang Yang and Haining Henry Zhang have implement Web-log mining method for caching Web objects and use this algorithm to enhance the performance of Web caching systems. They develop an n-gram-based prediction algorithm that can predict future Web requests. The prediction model is then used to extend the well-known GDSF caching policy. Show that the system performance is improved using the predictive-caching approach. such as caching, for dynamically changing database-driven Web sites. For such Web sites, query-level prediction algorithms need to be studied.
Approach. The study employed two diﬀerent survey formats, and both were conducted during warm weather, and again during cool weather, in a building with operable windows. The ﬁrst survey enabled researchers to gather background data from the occupants, using a customized version of the occupant IEQ survey that included newly developed modules assessing air movement, thermal variability, and win- dow use patterns. All occupants of the building were invited to participate, and the response rate was approximately 40% in both seasons. The study also included a short survey format that subjects took several times throughout the day for 2 weeks to collect point-in-time thermal comfort opinions. Developed speciﬁcally for the study, this survey took 2–3 min to complete, and included questions regarding thermal sensation and thermal variability (polling for percep- tion as well as acceptability and preference for change), and also activity levels, clothing, and window and blinds use patterns.
In designing the survey, we recognized that technology categories used were not strictly exclusive, as, for example, it is not unusual for services like Reddit, Facebook, or Headspace to be accessed in multiple ways, including through a website or app. Our aim was to capture the use of broad categories of technology rather than specific products, while avoiding the creation of overly specific categories that would have resulted in an excessively long survey. For the purposes of this survey, we defined websites and Web-based programs that support mental health as sites that teach users skills and help them manage their well-being, for example, requiring more than a single visit and some input from the user. This includes websites that give users specific tasks to complete (eg, SuperBetter), Web-based programs that help to deal with stress or anxiety, support reflection on one’s behavior, and help create action plans (eg, MoodGYM), or websites that help users do specific things (eg, meditation websites, such as Headspace). Questions from sections 1 to 3 covered usage patterns, frequently used features, engagement with technology, and suggestions for improvements. At the end of the survey, participants were also able to opt in for the voucher raffle and indicate their interest in receiving the summary of findings. We collected email addresses of those who opted in; they were stored separately from the survey data. Survey questions and full results are available in Multimedia Appendices 1-3.