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

A year-old man presented with a three week history of left upper back pain, and intermittent central chest pain. He also reported worsening shortness of breath, dry cough and hoarseness of voice. His past medical history included a Type A aortic dissection repair eight years previously. On examination, the only positive finding was decreased air entry in the posterior left upper zone of t a e ( 1 i c

Giant complex aortic arch aneurysm and dissection.

This paper presents an unsupervised architecture for retrieving and ranking conceptually related tweets which can be used in real time. We present a model for ranking tweets with respect to topic relevance in order to improve the accuracy of information extraction.

A Tweet Classification Model Based on Dynamic and Static Component Topic Vectors

Eyes are the primary sense organs for seeing the outside world; their failure has a significant impact on the outside world’s knowledge perceiving capability. As the technologies get advanced we can now enjoy most of the comforts as normal humans but visually impaired people cannot. Blind people usually depend upon specific support or help for them to do their daily work. They continue to face a variety of challenges in their lives. The proposed solution is a wearable band for people with visual impairments that can support them in navigating challenges and barriers and tracking their coordinates, which is then sent to a particular member of the family. This will be adorned with ultrasonic sensors made up of software components. The proposed technology works as a third eye for blind people because they have outstanding senses. A vibrator sensor is used in the band to provide vibration in their hand whenever a component is nearby. Also when the sensor detects any object the buzzer will make sound. Therefore it is an automated device. The blind person’s present position will be communicated to a particular person, who will be capable of locating individuals if they get lost and safeguarding them. This band will be of excellent assistance to blind individuals with regards to automatic identification and daily use.

IoT based Third Eye for the Stone Blind

Abstract Short text is rapidly expanding, and it is critical to understand why. Unlike traditional documents, short text is short and sparse, making machine learning and text mining algorithms difficult to apply. The process of identifying and categorizing ideas expressed in a text into positive, negative, and neutral polarities is referred to as sentiment analysis. The selection of features for machine learning is critical. The evaluation of search engines is a critical topic in the field of information retrieval. Researchers can determine whether their new algorithms add value or should be scrapped by effectively evaluating their algorithms. Organizations create cutting-edge methods for assessing their performance. Social tags have become an important source of information in web 2.0 for making personalized recommendations by identifying user interests and preferences. The purpose of this research is to systematically represent the actual topics of tags, the content of items, and user interest in specific topics via popular tags based on the content of the tags, items, and topics. The goal of this paper is to propose an innovative method for identifying user topic interests using popular tags. This paper proposes a method for extracting the main features of short text at various granularity levels. One aspect of how the content of items is represented in this paper is through the use of popular tags, but the representation of user interests is also discussed. By analysing a small dataset of short text classifications, we were able to compare our proposed method to a state-of-the-art baseline. We reduced the classification error by 20% using two different analysis methods, while the other method reduced it by 16.68%. The original tags of users are used to generate topic interests, from which we identify popular tags. The popular tags are then used to generate topic interests using an autoencoder approach.

Optimizing sentiment strength detection for classification for airline opinion texts

Salient object detection aims to detect most important regions from the natural visual scenes. Saliency detection task has attracted great attention of computer vision researchers in static visual scenes due to its significant applicability and challenging problem. Recently, salient object detection has been explored in understanding and modelling significant regions detection over dynamic scenes. This salient object detection is referred to as video-based salient object detection. In this direction, several salient object detection models have been proposed in the literature which are focused on characteristics of real dynamic scenes. Video-based salient object detection model finds the motion-related salient regions in dynamic scenes. These approaches take the motion feature and spatiotemporal constraint jointly from video sequences for saliency detection. Toward this end, this study introduces a review on video-based salient object detection. This review mainly focuses on recent progress in salient object detection in dynamic scenes. In this study, we provide a comprehensive review that presents various most challenging scenarios of salient object detection approaches in dynamic scenes and summarizes the more challenging problems of the existing methods. Further, we discuss the issues in video-based saliency detection and provide future research directions. Moreover, the study and evaluation of various benchmark video saliency detection datasets and evaluation measures are briefly presented.

Parma Nand

Papers

Giant complex aortic arch aneurysm and dissection.

A Tweet Classification Model Based on Dynamic and Static Component Topic Vectors

IoT based Third Eye for the Stone Blind

Optimizing sentiment strength detection for classification for airline opinion texts

Video-based Salient Object Detection: A Survey