비만아 부모의 돌봄 경험: q 방법론

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Handbook Of Psychological Testing

http://cardiacanaesthesia.in/assets/img/guidelines/Perioperative-Blood-Transfusion-and-Blood-Conservation-in-Cardiac-Surgery.pdf

Perioperative blood transfusion and blood conservation in cardiac surgery: the Society of Thoracic Surgeons and The Society of Cardiovascular Anesthesiologists clinical practice guideline.

https://www.minapharm.com/_handler/DownloadHandler.ashx?n=369.pdf&f=Attach&fileName=112303.pdf

Treatment and prevention of heparin-induced thrombocytopenia: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.

https://journal.chestnet.org/article/S0012-3692(15)31496-3/pdf

Heparin-Induced Thrombocytopenia: Recognition, Treatment, and Prevention: The Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy

The adhoc network comprises of nodes with a wireless radio interface is multihop network environment in which messages are transmitted from one to another node via intermediate nodes within the range To find an effective and an efficient routing protocol, which is used to transmit information from source to destination across whole network topology, is a major issue in networking research The broadcasting is used to diffuse information among all the neighbors and thus route establishment This approach makes it challenging to control redundant rebroadcasts, channel contention problem, bandwidth congestion and packet collision problem The optimization of communication with mobile routers in dynamic nature of topology is another challenge This paper presents classification of routing protocols with different broadcasting schemes These schemes are summarized and presented in a table

Comparative Analysis of Broadcasting Techniques for Routing Protocols

This paper discusses the characteristics of anaphora found in written News Media genre and describes an initial implementation of an algorithm to resolve the anaphors. The paper forms part of wider research aimed at using resolved anaphors for text visualization. The algorithm described is light weight and incremental, in that, it builds vocabulary as it processes documents to be used in future. The input data is also tested on two publicly available anaphora resolution algorithms and the results compared to the algorithm described in this paper. Finally it discusses the challenges in developing light weight algorithms to resolve anaphors in the News Media genre and further research to overcome some of these challenges.

Challenges in anaphora resolution in the news media genre

Today millions of ordinary citizens are using networks for banking, shopping and filing their tax return. Network security has become a massive problem. All this requires network to identify its legal users for providing services. An authentication protocol used is Kerberos which uses strong secret key for user authentication but it is vulnerable in case of weak passwords. Authentication  & key distribution protocols requires sharing secret key(s) with a view that only the concerned users know to derive the information from it. These protocols are vulnerable to key guessing attacks. Another important consideration is perfect forward secrecy in which our proposed scheme cover cases with application servers, authentication servers or clients key are revealed & their combination. In this paper our proposed scheme deal with key guessing attacks, perfect forward secrecy and protocols for few combinations of keys. All these protocols are based on the fact that the keys are weak & can be exploited easily.

Secure communication using pfs in a distributed environment

In this paper we argue that coherence relations between discourse units are ultimately based on mentioned discourse entities embedded in the units participating in the relation. Coherence relations as discussed in most literature ((Mann and Thompson, 1988), (Hobbs, 1985), (Grosz and Sidner, 1986) inter alia) are defined between text segments, where a text segment could range from a single utterance to the whole discourse. We show that these coherence relations are formed either directly or indirectly between embedded discourse entities. Other semantic entities might be derived via inference/s based on the mentioned entities and the complexity of these inferences determines some of the types of relations defined in literature. Hence, the coherence relations as defined by (Mann and Thompson, 1988), (Hobbs, 1985) inter alia, existing between text units is essentially an abstraction of these fundamental relations formed between embedded entities. We argue that any representation of discourse coherence structure should entail representation of information down to the resolution level of these embedded entities in order for such structures to be useful for automated language processing tasks. We also show that the commonly accepted tree structure ((Hobbs, 1985),(Marcu, 1996) inter alia) is not sufficient to represent discourse relations to such a resolution level, and propose a semi constrained directed graph as the alternative.

Towards a discourse level coherence structure

This report tries to investigate the effective use of the machine learning in the area of image analysis and processing. The field of healthcare taking a large datasets of image like X-ray, Ultrasound, MRI, CT scan, Echo-cardiograpgy with the known classification, Take images as input and then process the images, in case of process the images following steps are involved formatting of images if not suitable as per the required format and then Segmentation, Feature extraction and Classification and then train the model with given data of images with known classification (that is called data sets) after that model can predict the classification of the given new images that is called test data. And then compare the result with the already given model result with different-different machine learning algorithm. And try to improve the result with existing result and target is to achieve 100 % accuracy. To improve the result is depend on many things like in image processing it depend on how well had done segmentation and then feature extraction is again main factor to improve the result, how many feature taken during developing model and then classification, it also depend on machine learning algorithm used as per the given data sets.

Parma Nand

Papers

Comparative Analysis of Broadcasting Techniques for Routing Protocols

Challenges in anaphora resolution in the news media genre

Secure communication using pfs in a distributed environment

Towards a discourse level coherence structure

Use of Machine Learning in the Area of Image Analysis and Processing