Multichannel Attention Network for Analyzing Visual Behavior in Public Speaking

Public speaking is an important aspect of human communication and interaction. The majority of computational work on public speaking concentrates on analyzing the spoken content, and the verbal behavior of the speakers. While the success of public speaking largely depends on the content of the talk, and the verbal behavior, non-verbal (visual) cues, such as gestures and physical appearance also play a significant role. This paper investigates the importance of visual cues by estimating their contribution towards predicting the popularity of a public lecture. For this purpose, we constructed a large database of more than $1800$ TED talk videos. As a measure of popularity of the TED talks, we leverage the corresponding (online) viewers' ratings from YouTube. Visual cues related to facial and physical appearance, facial expressions, and pose variations are extracted from the video frames using convolutional neural network (CNN) models. Thereafter, an attention-based long short-term memory (LSTM) network is proposed to predict the video popularity from the sequence of visual features. The proposed network achieves state-of-the-art prediction accuracy indicating that visual cues alone contain highly predictive information about the popularity of a talk. Furthermore, our network learns a human-like attention mechanism, which is particularly useful for interpretability, i.e. how attention varies with time, and across different visual cues by indicating their relative importance

Advanced Magnetic Resonance Imaging in Glioblastoma: A Review

INTRODUCTION In 2017, it is estimated that 26,070 patients will be diagnosed with a malignant primary brain tumor in the United States, with more than half having the diagnosis of glioblas- toma (GBM).1 Magnetic resonance imaging (MRI) is a widely utilized examination in the diagnosis and post-treatment management of patients with glioblastoma; standard modalities available from any clinical MRI scanner, including T1, T2, T2-FLAIR, and T1-contrast-enhanced (T1CE) sequences, provide critical clinical information. In the last decade, advanced imaging modalities are increasingly utilized to further charac- terize glioblastomas. These include multi-parametric MRI sequences, such as dynamic contrast enhancement (DCE), dynamic susceptibility contrast (DSC), diffusion tensor imaging (DTI), functional imaging, and spectroscopy (MRS), to further characterize glioblastomas, and significant efforts are ongoing to implement these advanced imaging modalities into improved clinical workflows and personalized therapy approaches. A contemporary review of standard and advanced MR imaging in clinical neuro-oncologic practice is presented

Implementation and Applications of Various Feeding Techniques Using CST Microwave StudioÂ

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Synthesizing and Reviewing Research Trends in Automation

The objective of this paper is to develop a thorough understanding of the evolution of automation techniques throughout its time span. To achieve this, a literature review followed by classification schemes and simple Meta analysis have been presented in this paper. The literature review was based on journals collected for the study. A total of 234 articles were selected for the study. The study yielded 37 variables which formed the basis of classification schemes. The first classification scheme was conceptual while the second was functional. The entire study was grouped into these classification schemes. The classification schemes were the foundations for performing simple Meta analysis. The analysis was done under three categories, according to classification schemes, according to year of publication and according to journals. The results show various trends of automation throughout the years. In the end, the results are discussed in detail and future areas of research are identified. Keywords: Automation techniques, Classification schemes, Meta analysis, Primary dimension

In-situ micromechanical testing of Su-8 polymer at high strain rates using indentation and micropillar compression

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Clinical outcomes of the intramedullary humerus nailing system in the treatment of humerus fractures

Background: After femoral and tibia bone fractures, the humerus fracture is the third long bone fracture. The purpose of this study was to clinically evaluate the outcomes of treating humerus fractures with an KN-5H humerus nailing system. The fixation of humerus fracture especially shaft fractures from intramedullay humeral nail the clinical outcomes obtained from the retrospective study of humerus nailing system on humeral fracture is controversial feature in surgical technical research, follow-up factors, and implants.Methods: In this retrospective study of KN-5H humerus nailing system (KN-5H intramedullary cannulated humerus nail, KN-5H reconstruction nail, cannulated and KN-5H reconstruction cannulated intramedullary humerus nail) manufactured by the Kaulmed Pvt. Ltd. is used. The total 26 patients from which 11 males and 15 females between the age group of 18-70 years with humerus fracture were taken. Patients didn't received conservative management. The fractures were categorized based on AO classification and Neer type. Th post-operative clinical effectiveness was evaluated using the Radiological evaluation, VAS score and Functional ROM results.Results: The mean follow-up period was 15 months (range 13 to 24 months). The mean time of union was 14 weeks (range 10 to 18 weeks) in 26 patients. No non-union occurred in any patients. Functional end results of shoulder and elbow were excellent in 92.3% patients, moderate 5.75% patients and poor in 1.95% patients. Postoperative complications included one superficial infection, 3 patients had nail impingement complain, one patient has shoulder stiffness and had pain in adduction. No implant related complication was reported.Conclusions: The treatment of proximal and diaphysis humerus fracture is highly recommended using intramedullary humeral nailing due to lower post-operative complication with high union rate

Pancytopenia and transient synovitis of hip joint in a SARS CoV-2 positive pregnant female: a case report

Pregnant women are at an increased risk for severe COVID-19 illness. Apart from the typical clinical manifestations, atypical presenting features of COVID-19 are also being found. We report the case of a 20 years old COVID positive antenatal patient with pancytopenia. The patient presented with scar tenderness and was taken up for emergency caesarean section at a platelet count of 5860 per microlitre. She was managed with intraoperative and postoperative transfusion of blood products. She developed chronic persistent hip pain and was diagnosed to have transient synovitis of the hip joint, which was managed conservatively. COVID-19 is a new disease with evolving clinical presentation. Pancytopenia and synovitis of hip are a rare manifestation of COVID-19 and has never been reported in a pregnant woman with COVID-19