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

As the name implies, the purpose of an automatic night lamp is to turn on or off the light without the need of human interventions. In the recent papers, the authors have designed and developed a system that stimulates the sunrise using RTC. The project aims to maximize the health benefits of waking up naturally, as waking up abruptly because of alarm noise can cause higher blood pressure and heart rate. Unlike smartphones or traditional alarm clocks that rely solely on sound to wake you up, this project aims to mimic the coming of dawn with ever-increasing amounts of light.

Sunrise Based Alarm Clock using IoT

Feature Selection (FS) is the selection of certain features by using a criterion assessment application. In the age of technological advancements and innovations, there has been a significant rise in the use of different social networking applications such as Facebook, YouTube, Twitter, and e-commerce platforms such as Amazon, Alibaba, Flipkart, and others. It has increased the use of sentiment analysis in the different real-world applications so that there is a classification of text in different preset polarities such as optimistic, pessimistic, and impartial. The current research aims to find out the selection process involved in choosing the optimal features for classification using sentimental textual data. The study presents the scope of the sentimental analysis using textual data, fundamentals of the classification process, and the significance of the feature selection schemes so that there is an implementation of effective feature selection for text classification and analysis of sentiments.

A Comprehensive Survey on Effective Feature Selection Approaches for Text Sentiment Classification Process

We report a case of a 44-year-old patient presenting with new-onset severe decompensated congestive heart failure, which was refractory to aggressive inpatient medical treatment. Left ventricular ejection fraction was 16%. Radiological investigations revealed the presence of an anomalous subannular origin of the left coronary artery, with an associated 95% ostial stenosis. The artery was supplied by collaterals from the right coronary system. This included a proximal collateral from the right marginal artery, which had its own separate ostium in the right aortic sinus. A diagnosis of ischemic dilated cardiomyopathy was made. The patient successfully underwent urgent coronary artery bypass grafting with a view to improve his left ventricular function and congestive heart failure symptoms.

Severe cardiomyopathy caused by a critically stenosed anomalous left coronary artery ostium originating in the left ventricle.

DBpedia encodes massive amounts of open domain knowledge and is growing by accumulating more triples at the same rate as Wikipedia. However, the applications often require natural language formulations of these triples to present the information as a natural text. The RealTextlex2 framework offers a scalable platform to transform these triples to natural language sentences using lexicalization patterns. The framework has evolved from its previous version (RealTextlex) and is comprised of four lexicalization pattern mining modules which derive patterns from a training triple collection. These patterns can be then applied on the new triples given that they satisfy a defined set of constraints.

/pdf/lexicalizing-dbpedia-with-realization-enabled-ensemble-3wokzxxzlg.pdf

Lexicalizing DBpedia with Realization Enabled Ensemble Architecture: RealText-lex2 Approach.

Parkinson's disease which is a neurodegenerative disease tends to deteriorate muscle control steadily. Although Parkinson's disease primarily affects elderly people, but adults can also be affected by this disease. The symptoms are caused by the gradual nerve cell loss in the area of the brain that regulates movement. Patients' quality of life is greatly reduced because it shows motor, cognitive, and other sorts of symptoms. Parkinson's disease is usually diagnosed based on a patient's medical history and physical symptoms. However, it has a subjective nature and a poor prognosis. In the diagnosis of Parkinson's disease, artificial intelligence (AI) has shown promising results. Yet because of the small sample size, poor validation and lack of big data design, it introduces bias. This paper outlines the state-of-the-art methods that have been used to detect Parkinson's disease. The findings of the literature, as well as frequent methodological flaws that may skew results, are identified. The question is can AI alone be successful in clinical settings for Parkinson's disease identification? By incorporating AI algorithms with Internet of Things (IoT) treatment can be improved effectively while reducing related healthcare expenditures.

Parma Nand

Papers

Sunrise Based Alarm Clock using IoT

A Comprehensive Survey on Effective Feature Selection Approaches for Text Sentiment Classification Process

Severe cardiomyopathy caused by a critically stenosed anomalous left coronary artery ostium originating in the left ventricle.

Lexicalizing DBpedia with Realization Enabled Ensemble Architecture: RealText-lex2 Approach.

State-of-the-Art Techniques for Detecting the Onset of Parkinson's Disease