14 research outputs found
Clinico-physiological profile of patients of pulmonary impairment after tuberculosis at a tertiary care centre
Background: Pulmonary tuberculosis (TB) is a unique infectious disease that more often results in permanent structural changes in the lung parenchyma. It is by virtue of these changes that the patients even after bacteriological cure continue to suffer the after effects of the disease. Objective of study was to assess the clinico-physiological profile of patients of pulmonary impairment after tuberculosis (PIAT) attending S. N. Medical College, Agra, Uttar Pradesh, India.Methods: Over the time period of 2 years, 350 patients of healed pulmonary tuberculosis were identified and studied about their clinico-physiological profile. This profile included age, sex, category of treatment, pulmonary function test pattern, exercising capacity, exercise tolerance and quality of life.Results: It was found that majority of the patients were males, >60 years of age and had taken Category-II treatment. Most of the patients were having an obstructive pattern on PFT, poor exercise tolerance and exercise capacity and a poor quality of life.Conclusions: Patients of healed pulmonary TB continue to experience respiratory symptoms owing to the permanent anatomical changes in the lung conferred by the disease
Management of non-COVID respiratory illnesses during the COVID-19 pandemic — a pulmonologist’s perspective
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
Counterspeech has been demonstrated to be an efficacious approach for
combating hate speech. While various conventional and controlled approaches
have been studied in recent years to generate counterspeech, a counterspeech
with a certain intent may not be sufficient in every scenario. Due to the
complex and multifaceted nature of hate speech, utilizing multiple forms of
counter-narratives with varying intents may be advantageous in different
circumstances. In this paper, we explore intent-conditioned counterspeech
generation. At first, we develop IntentCONAN, a diversified intent-specific
counterspeech dataset with 6831 counterspeeches conditioned on five intents,
i.e., informative, denouncing, question, positive, and humour. Subsequently, we
propose QUARC, a two-stage framework for intent-conditioned counterspeech
generation. QUARC leverages vector-quantized representations learned for each
intent category along with PerFuMe, a novel fusion module to incorporate
intent-specific information into the model. Our evaluation demonstrates that
QUARC outperforms several baselines by an average of 10% across evaluation
metrics. An extensive human evaluation supplements our hypothesis of better and
more appropriate responses than comparative systems.Comment: ACL 202
A Search for Technosignatures Around 31 Sun-like Stars with the Green Bank Telescope at 1.15-1.73 GHz
We conducted a search for technosignatures in April of 2018 and 2019 with the
L-band receiver (1.15-1.73 GHz) of the 100 m diameter Green Bank Telescope.
These observations focused on regions surrounding 31 Sun-like stars near the
plane of the Galaxy. We present the results of our search for narrowband
signals in this data set as well as improvements to our data processing
pipeline. Specifically, we applied an improved candidate signal detection
procedure that relies on the topographic prominence of the signal power, which
nearly doubles the signal detection count of some previously analyzed data
sets. We also improved the direction-of-origin filters that remove most radio
frequency interference (RFI) to ensure that they uniquely link signals observed
in separate scans. We performed a preliminary signal injection and recovery
analysis to test the performance of our pipeline. We found that our pipeline
recovers 93% of the injected signals over the usable frequency range of the
receiver and 98% if we exclude regions with dense RFI. In this analysis, 99.73%
of the recovered signals were correctly classified as technosignature
candidates. Our improved data processing pipeline classified over 99.84% of the
~26 million signals detected in our data as RFI. Of the remaining candidates,
4539 were detected outside of known RFI frequency regions. The remaining
candidates were visually inspected and verified to be of anthropogenic nature.
Our search compares favorably to other recent searches in terms of end-to-end
sensitivity, frequency drift rate coverage, and signal detection count per unit
bandwidth per unit integration time.Comment: 20 pages, 8 figures, in press at the Astronomical Journal (submitted
on Sept. 9, 2020; reviews received Nov. 6; re-submitted Nov. 6; accepted Nov.
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Psychological Flexibility Determines COVID-19 Peritraumatic Distress and Severity of Depression
COVID-19 implied social distancing, forced behavioural changes, and the economic downturn has been associated with poor mental health and wellbeing. Depression and suicide are the highly predicted psychosocial risks caused by the pandemic crises. Early studies evaluating the effect of COVID-19 on psychiatric health have succeeded in developing screening measures. However, they have been limited in understanding its relations with individual psychological flexibility. An individual's psychological flexibility determines the ability to fight against such adversities on an immediate time scale and the future psychotherapeutic treatment. We conducted an online study to examine the relationship between psychological flexibility and risks to depression and their relationship with COVID-19 peritraumatic distress. We used Multidimensional Psychological Flexibility Inventory (MPFI), Beck's Depression Inventory-II (BDI-II) and COVID-19 Peritraumatic Distress Index (CPDI) to measure the above psychological factors. The results are discussed in light of individual psychological flexibility and its association with BDI-II and CPDI outcomes
Management of Non-COVID Respiratory Illnesses during the COVID-19 Pandemic—A Pulmonologist’s Perspective
The novel coronavirus disease 2019(COVID-19) caused by the SARS-CoV-2 virus continues to wreak havoc all over the world with approximately 57,714,184 infections and 1,373,065 deaths reported to date [...
Boerhaave Syndrome: An Unusual Cause of Bilateral Exudative Pleural Effusion
A 45-year-old male, security guard, chronic alcoholic, presented to us with complaints of low-grade fe-ver, recurrent vomiting, bilateral pleuritic chest pain, dry cough, and progressive breathlessness for the past 4 days [...