researchers from a wide range of specialty areas.” (Blackledge‚ 2004). The committee is dedicated to reviewing each research request based on a specific set of criteria use to ensure that the research studies conducted are needed for the advancement of the nursing profession and are evidence-based. Without the ambition of specific nurses and sponsorship of evidence-based research studies‚ nursing as the dynamic profession striving to improve clinical care‚ health education to transform the health of
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January 2010 A Secure Steganography Method based on Genetic Algorithm Shen Wang‚ Bian Yang and Xiamu Niu School of Computer Science and Technology Harbin Institute of Technology 150080‚ Harbin‚ China shen.wang@ict.hit.edu.cn; bian.yang@ict.hit.edu.cn; xiamu.niu@hit.edu.cn Received April 2009; revised August 2009 Abstract. With the extensive application of steganography‚ it is challenged by steganalysis. The most notable steganalysis algorithm is the RS attack which detects the steg-message
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1993 Pergamon Press Ltd Time-Based Strategies and Practice Gary E. Spanner‚ Josh Pablo Nun”0 and Charu Chandva Theory As firms compete in a global environment‚ the need for integrating functions in organizations is being felt more than ever. Firms are realizing that to sustain long-term competitive advantages‚ business strategies have to be linked to functional strategies. ‘Time’ provides this.missing link. Recent research supports the use of time-based competition strategy in defining
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Diabetes: Evidence Based Diagnosis Tool Diabetes: Evidence Based Diagnosis Tool Diabetes is a major health concern in the United Stated affecting 29.1 millions or about 9.3% of the population with new diagnosis of 1.7 millions in 2012 (ADA‚ 2014). According to ADA‚ there are about 8.1 millions undiagnosed diabetic patients in the US. With this figure‚ it is important that we have a proper tool to diagnose diabetes accurately. This will help to devise a proper intervention if the disease
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explain why recommended changes to the TWS unit are likely to improve outcomes (e.g.‚ evidence-based practices) (10 PT) I don’t believe that the students would benefit from repeating the lesson. Elementary schools have to stay on a strict schedule of what to teach and that was extremely challenging for me at times. If I was to make modifications on this TWS I would break down instruction into small-sub steps and practice each sub-step before moving on to ensure all students understood the material.
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APRIORI Algorithm Professor Anita Wasilewska Lecture Notes The Apriori Algorithm: Basics The Apriori Algorithm is an influential algorithm for mining frequent itemsets for boolean association rules. Key Concepts : • Frequent Itemsets: The sets of item which has minimum support (denoted by Li for ith-Itemset). • Apriori Property: Any subset of frequent itemset must be frequent. • Join Operation: To find Lk ‚ a set of candidate k-itemsets is generated by joining Lk-1 with itself. The Apriori
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examination. Teachers and aspiring teachers can use either of the three types of validity evidence ( content-related‚ criterion-related‚ and construct related) to ensure that the examination results will provide a clear reflection of the student’s understanding and knowledge of the subject. The content-related evidence validity is the easiest to apply amongst the three validity evidence type. Content-related evidence validity refers to the extent an examination covered all the important knowledge and
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607: Advanced Network Algorithms Spring 2009 Last updated: Jan 9‚ 2009 ❑ Instructor: Galen H. Sasaki. Email: sasaki@spectra.eng.hawaii.edu. Tel: 348 9432 (cell). Office: Holmes 436. Office Hours: MW 1:45-2:45. ❑ Days and Times: MW 12:30-1:45pm (May change if we can find a room and days/times) ❑ Room: Holmes 389 ❑ Brief Course Description: The course will cover algorithms that are used in network research and implementation. These include graph algorithms‚ transmission scheduling
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Adopt Algorithm for Distributed Constraint Optimization Pragnesh Jay Modi Information Sciences Institute & Department of Computer Science University of Southern California http://www.isi.edu/~modi Distributed Optimization Problem “How do a set of agents optimize over a set of alternatives that have varying degrees of global quality?” Examples l allocating resources l constructing schedules l planning activities Difficulties l No global control/knowledge l Localized communication l Quality
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Lab Report for Computer Assignment #2 GPS Algorithm Introduction In order to guide each object correctly on the earth‚ the GPS satellites need to locate them very accurately. The goal of the assignment is to use some optimization methods to locate an object with given pseudo-range data. The signals which are sent from satellites to the target are not accurate because the systematic errors caused by inaccurate receiver clock and some other random noise. The un-accurate range is known as pseudo-range
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