If given a choice between a course offering open (free) resources (textbook, etc.) and a course requiring purchased resources, I would select the course offering the open resources because of the cost savings of the free textbook that is provided in this course.
Among the resources evoked above, several were al- ready created by our team: tokenization automatons, idiomatic expressions, named entities and syntactic analysis rules. But two fundamental ones for each lan- guage were bought proprietary resources: dictionaries and PoS-annotated corpora. For all of them we had to ﬁnd and adapt freeresources. After the initial adap- tation, we improve the resources by iteratively run- ning a ten-fold cross validation, learning disambigua- tion model on 90% of the corpus and testing on 10%, and correcting errors revealed.
To scrutinize the implications of relatedness for corporate diversification, this section builds a dynamic model. The approach, rooted in the principle of dynamic optimality (Bellman, 1957), was common to rationalize investors’ lifetime allocation of wealth across a portfolio of securities (Merton, 1969) and was extended to corporate diversification (Bernardo and Chowdhry, 2002; Kogut and Kulatilaka, 1994; Matsusaka, 2001; Sakhartov and Folta, 2014; 2015; and Triantis and Hodder, 1990). Resembling an investor keeping all her wealth in a single security, the firm in the model is initially focused on one business deploying all its resources in product market i . As an investor can allocate her cash to another security, so can the firm use its resources in an alternative product market . j 6 Specifically, scale freeresources can be shared between i and j . Non–scale freeresources may be fully or partially withdrawn from i and redeployed to j , or vice versa, at any time t before the end of the resource lifecycle t T . Proportions m it and
Position and Practice Papers familiarize yourself with the Academy’s stance on issues that affect the nutritional status of the public. Position papers consist of a position statement, an abstract and a supporting paper, all of which are based on sound scientific data. Practice papers are evaluative summaries of scientific information and/ or practical applications that address member-identified practice topics. You can access both freeresources online or in the Journal of the Academy of Nutrition and Dietetics.
Abstract- In January 2003 the Kenyan government implemented Free Primary Education (FPE). FPE was received with a lot of enthusiasm by stakeholders in education. The FPE policy envisaged that the government would provide teaching and learning materials to all public primary schools. This paper therefore discusses the attitudes of teachers and learners towards utilization of learning resources in Bungoma County in Kenya. A descriptive survey design was used in this study. The target population was head teachers, teachers, the school management committee chair persons and the students. Since there are both rural and urban schools, stratified sampling was done to get a more representative sample. Instruments for data collection were questionnaires, interview schedule, and document analysis and observation schedules. The research revealed that the FPE is popular. The research found that students, teachers, and chair persons of schools felt more funds are required to create a positive impact of FPE. Pupils had high expectations from the government than provided towards creating an enabling learning environment. The teachers felt that FPE was burdensome due to heavy teaching workloads and overcrowded class. The findings will inform the policy makers to make more informed decisions towards implementation of the free primary education in order to achieve Universal Education .
This study further established that free natural resources contributed either directly or indirectly to household food security which made life better for rural dwellers. Considering the importance of free natural resources to men and women both for food security and poverty alleviation, it was recommended that a gender based free natural resource management capacity building outreach should be aimed at the people of the area. This is so as to enhance the sustainable access to the resources.
Deposit insurance and lender of last resort arrangements serve to instil confidence in depositors hence contributing towards safeguarding system stability and preventing unnecessary runs where panics occur. Such benefits are not only considered against those arguments advanced by antagonists of deposit insurance and lender of last resort arrangements, but also against those views which do not favour government and central bank intervention. In evaluating whether free banking is equipped with as many mechanisms and safeguards required in safeguarding the stability of the financial system, the urgency for such safety net instruments, which is attributed to the peculiar and unique nature of banking, will be considered. Contrary to the argument [that “if markets are generally better at allocating resources than governments are, then the differences or distinctions which exist between “money” and the industry that provides it (the banking industry) should not serve as bases for an assumption that money and banking are exceptions to the general rule”], it has to be highlighted (for several reasons) that the banking industry could not be equated to other areas of the financial sector. One of such reasons relates to the extent to which the impact of systemic runs differ within the banking sector when compared to other areas such as the securities markets.
Pal et al. (2010) introduced a system to automatically classify the semantic relations between nominals. The system achieves its best performance using lexical features such as nominalization of WordNet and syntactic information such as dependency relations of Stanford Dependency Parser. Likewise, Kern et al. (2010) built a Word Sense Induction and Discrimination (WSID) system that exploits the syntactic and semantic features based on the results of a natural language parser component. They applied the Stanford Parser in order to provide a context-free phrase structure grammar representation and a list of grammatical relations (typed dependencies) of a given sentence. Moreover, Uryupina (2010) presented Corry – a system for co-reference resolution in English. He relied on the Stanford NLP toolkit for extracting named entities and parse trees for each sentence. The Corry system has shown the best performance level among four well-known co-reference resolution systems. Finally, Berend and Farkas (2010) introduced a novel approach which includes a set of features for the supervised learning in order to extract key phrases from scientific papers. They applied syntactic tagging using the Stanford parser on each sentence. Taken together, Stanford CoreNLP has been widely and effectively used tool for text processing, information extraction, therefore, it was implemented in our system for the same purpose.
Build your free websites, earn money with Google Adsense, Click Bank, eBay, Amazon, Link Share, Affiliate Marketing, eBooks etc. Don't get misled by tempting and unscrupulous scamsters. Work on your home business slowly and steadily. Here is a way to help you understand the basics of internet businesses.
We also compare our method with the work of Zhang et al. (2014), who reported results only on the ZX test data. We use the same lexicon settings. Our method gives better result than Zhang et al. (2014), showing that the combination of a lexicon and unannotated sentence into partially annotated data can lead to better performance than using a dictionary alone in type-supervision. Given that we only explore the use of free resource, combin- ing a lexicon with unannotated sentences is a bet- ter option than using the lexicon directly. Zhang et al.’s concern, on the other hand, is to compare
Faculty reported that a comprehensive range of high quality, up to date resources to use in their courses were generally easy to find. When compared to previous courses taught with traditional materials, faculty were left with an impression that students’ engagement with the course, the facilitation of students’ exposure to elements beyond the classroom, and that students’
Scheduling algorithms are applied in a distributed system to satisfy multi-objectives for both the users and the resource-providers. Scheduling problems can be classified into static and dynamic scheduling problems. In static scheduling problems, the resources and the tasks in each job are known to the scheduling system in advance. On the other hand, a dynamic scheduling system does not have full information about the resources and the jobs, when the execution starts. Additional jobs continue to arrive dynamically, even when some of the jobs have been scheduled and are getting executed . Some local search based scheduling algorithms are computationally costly and are usually applied to static problems, while schedule based scheduling algorithms are mostly used in dynamic environments . Most of the scheduling algorithms, used in today‟s grids, are queue based scheduling algorithms. Klusacek and Rudova  state that queue-based scheduling can handle single objectives. However, complex objectives such as deadlines, resource utilization, response time, flow time, or slow down are hard to achieve by queue-based solutions.
and to make available these rich resources to the academic community for as free further use as is possible within established data protection and scientific copyright protection rules. This will be supported with easy “crosswalks” to additional data from other sources that are deemed relevant for the project. The term “knowledgebase” therefore refers to a product where data in several varieties and from many sources should be directly machine actionable and are directly linked up with other tools, resources and products of the research process.
The principle benefits of such a tiered approach to service delivery were perceived to be improved customer service and a more efficient and cost- effective use of traditionally under-used and expensive resources. Strong marketing, including the targeting of key customers and user groups, and rigorous staff training are essential to the success of such an approach. Staff for example at enquiry level must feel integral to the service and take ownership of enquiries where referral has been needed. The only problems associated with such an approach were applied to the planning and implementation stages in terms of the levels of cooperation needed at senior levels: this may necessitate a forum for discussion and advocacy to guide the process (e.g. permanent management and coordination posts; a sustainable steering group or advisory board including all key stakeholders and regional advocacy from an organisation such as MLA North West). There also needs to be a strategy for cooperation with other information providers, particularly with the provision and delegation of specific information services in order to avoid duplication and repetition.
At the same time, transform your service infrastructure to free up capacity for innovation by improving efficiency, managing complexity, and reducing costs. Move from an infrastructure-component focused organization to one focused on end-to-end service management and user experience; from manual to automated, slow to fast, fragile to agile.