21 research outputs found
Learning to Hash-tag Videos with Tag2Vec
User-given tags or labels are valuable resources for semantic understanding
of visual media such as images and videos. Recently, a new type of labeling
mechanism known as hash-tags have become increasingly popular on social media
sites. In this paper, we study the problem of generating relevant and useful
hash-tags for short video clips. Traditional data-driven approaches for tag
enrichment and recommendation use direct visual similarity for label transfer
and propagation. We attempt to learn a direct low-cost mapping from video to
hash-tags using a two step training process. We first employ a natural language
processing (NLP) technique, skip-gram models with neural network training to
learn a low-dimensional vector representation of hash-tags (Tag2Vec) using a
corpus of 10 million hash-tags. We then train an embedding function to map
video features to the low-dimensional Tag2vec space. We learn this embedding
for 29 categories of short video clips with hash-tags. A query video without
any tag-information can then be directly mapped to the vector space of tags
using the learned embedding and relevant tags can be found by performing a
simple nearest-neighbor retrieval in the Tag2Vec space. We validate the
relevance of the tags suggested by our system qualitatively and quantitatively
with a user study
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Ethical Analysis of Soma Mining Inc.’s Role in the Soma Coal Mine Fire, Turkey, 2014
This report presents an ethical analysis of the actions taken by Soma Mining Inc. regarding the
Soma Mine Disaster as well as an evaluation of their existing safety infrastructure. Soma Mining
Inc. is responsible for neglecting worker safety in order to prioritize company profits. Failure to
provide functional safety equipment, construct emergency escape routes and safe rooms,
establish a reliable system for communication, as well as implement a practiced emergency
response plan led to the tragic deaths of 301 workers and the injury of an additional 80. The
Turkish government perpetuates this negligence of worker safety as a result of their agenda to
maximize profits from the mining industry. The Turkish government owns the majority of
Turkish coal mines and exercises control over the safety regulation of these mines. The profitdriven interests of the Turkish government pose a conflict of interest when making decisions
regarding the enforcement of safety standards in the mining industry. Enabled by such
corruption, Soma Mining Inc. ignored the standards set forth by mining safety regulations.
Soma Mining Inc. is directly responsible for the mass worker casualty of the Soma Mine Disaster
as well as the devastating economic and social consequences that befell the surrounding
communities. The actions of Soma Mining Inc. are evaluated against the International Council
on Mining and Metals (ICMM) Mining Principles.Randall, D'ArcyChemical Engineerin
Clinicodemographic profile of the cases presented with extra pulmonary manifestations during covid 19 pandemic in a tertiary covid care centre at SVPIMSR
Aims and objectives: To study severity of COVID 19 virus on various systems in body other than pulmonary system, To foresee adverse outcome of patient who were affected with COVID 19 pneumonia with prominent extra pulmonary manifestations. Methods: A retrospective observational study done in 100 cases of COVID 19 positive patients admitted to SVPIMSR and developed extrapulmonary manifestations over a period of 1 ST April 2020 to 31ST May 2021.Results: Mean age was 60.94 ± 13.91 years and maximum patients were in the age group of 70-79 years, predominantly male were found to have extrapulmonary manifestations, in which cardiovascular system was most commonly involved.COVID-19 patients who developed cardiovascular manifestations had multiple comorbidities.In our study overall mortality was 63% and 53% patients with cardiovascular manifestations were deceased.Conclusion: Patients with COVID-19 may develop extrapulmonary manifestations besides respiratory symptoms. As an emergency physician we should be very careful while managing COVID-19 patients for developing extrapulmonary manifestations. By this we can improve patient‘s survival and
reduce mortality. This study guides us for future pandemics of SARS-CoV 2 and we can focus extrapulmonary manifestations beyond pulmonary manifestations
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Reorienting Smart City Metrics to Emphasize Resident Well-Being: A Disparity-Oriented Approach
This paper applies a disparity-oriented focus to promote human-centered solutions to smart city planning efforts. For five metropolitan areas (San Jose, Miami, New York, Denver, and Seattle) we explored three smart city domains (socioeconomics, public transit access, and digital divide), identified candidate indicators for each domain using publicly available data, and mapped composite measures generated using principal components analysis. The study identifies areas that may be most and least likely to benefit from smart city investments. Reorienting solutions can ultimately increase community equity and engagement in urban life