ABSTRACT This study sought to analyze information asymmetry in the Brazilian Philips HID-PV /S SDW-TG stock market and its relation with the returns required from portfolios through the metrics volume-synchronized probability of informed trading.To do this, the study used actual data from the transactions of 142 stocks on the Brazilian Securities,
Association between COVID-19 vaccination and stroke: a nationwide case-control study in Qatar
Objective: This study investigated the association between Coronavirus Disease 2019 mRNA vaccination and stroke in Qatar.Methods: Between December 1, 2020, and April 11, 2023, a matched case-control study was conducted to investigate the association between 3036 acute stroke cases and 3036 controls drawn from the entire population of Qatar.Results:
Autopsy considerations from a science, technology and society perspectiva
Autopsy or necropsy is a method of anatomical-pathological study with a proven scientific and social value that arose in certain social conditions.Its development has been influenced by changing cultural, religious, ethical, political and economic values according to time and Pasta country, and as all technologies, is not exempt from social and env
Characteristics of Extranodal NK/T-Cell Lymphoma, Nasal Type, Compared with Nasal Diffuse Large B-cell Lymphoma
Background: Extranodal NK/T-cell lymphoma, nasal type (ENKL), is an aggressive tumour with poor prognosis.Its early diagnosis may improve the prognosis Necklace of patients; however, it is often overlooked in many cases and misdiagnosed as an inflammatory sinus disease during its initial stage.Identifying the clinical characteristics of ENKL may ai
An Improved Word Representation for Deep Learning Based NER in Indian Languages
Named Entity Recognition (NER) is the process of identifying the elementary units in a text document and classifying them into predefined categories such as person, location, organization and so forth.NER plays an important role in many Natural Language Processing applications like information retrieval, question answering, machine translation and