Background: Heavy reliance on container shipping during the COVID-19 pandemic with lockdown implementation and air travel bans placed substantial pressure on shipping crews and ports. Long waiting times at ports, substantial economic losses and massive supply chain disruption of essential and medical goods were observed. To minimise this for future pandemic preparedness, we explore the use of quarantining and testing of crews preboarding instead of quarantining at port calls or during voyages.
View Article and Find Full Text PDFFoot rot disease in black pepper, caused by Phytophthora species, is a major threat to cultivation. Along with the well-known Phytophthora capsici, a newly identified species, Phytophthora tropicalis, has also been implicated. Comparative genome analysis of P.
View Article and Find Full Text PDFIndian J Psychol Med
January 2025
Background: Depression not only fosters the development of metabolic syndrome through behavioral, physiological, genetic, and treatment-related factors, but it also doubles the risk of experiencing metabolic syndrome. The objectives were to assess the sociodemographic and clinical profile of patients with depressive disorder, to assess the various metabolic parameters of metabolic syndrome in patients with depressive disorder, and to study the association between the severity of depression and metabolic syndrome.
Methods: A cross-sectional study was conducted among patients diagnosed with depression (n = 160) attending the Psychiatry outpatient department of a tertiary healthcare facility in Puducherry.
Mandibular premolars exhibit intricate and diverse root canal anatomy, presenting substantial challenges in endodontic treatment. Uncommon variations, such as the presence of three canals, demand meticulous diagnostic and therapeutic approaches to mitigate the risk of overlooking canals and subsequent treatment failure. This case report highlights three cases of mandibular premolars exhibiting a rare root canal configuration with one mesial and two distal canals, successfully managed using cone beam computed tomography (CBCT) for accurate diagnosis and ultrasonic activation for disinfection.
View Article and Find Full Text PDFSafety is crucial in the railway industry because railways transport millions of passengers and employees daily, making it paramount to prevent injuries and fatalities. In order to guarantee passenger safety, computer vision, unmanned aerial vehicles (UAV), and artificial intelligence will be essential tools in the near future for routinely evaluating the railway environment. An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection (UAV-RSOD) comprises high-resolution images captured by UAVs over various obstacles within railroad scenes, enabling automatic railroad extraction and obstacle detection.
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