Publications by authors named "Avi Singh"
Article Synopsis
- António Egas Moniz was a pioneering Portuguese neurologist who developed cerebral angiography and the controversial prefrontal leucotomy (lobotomy), earning a Nobel Prize in 1949.
- Lobotomy was initially seen as a breakthrough for severe mental conditions but later faced criticism due to severe side effects, leading to a decline in its use with the introduction of neuroleptics like chlorpromazine.
- Moniz's work sparked important ethical debates about informed consent and the long-term effects of psychiatric procedures, highlighting the need for continuous improvements and ethical standards in mental health treatment.
Background: The ATP-dependent DNA ligase Lig E is present as an accessory DNA ligase in numerous proteobacterial genomes, including many disease-causing species. Here we have constructed a genomic Lig E knock-out in the obligate human pathogen Neisseria gonorrhoeae and characterised its growth and infection phenotype.
Results: This demonstrates that N.
Article Synopsis
- The research aimed to identify key factors affecting the porosity of CaCO particles using the Placket-Burman design to test multiple variables like pH, temperature, and various chemical concentrations.
- Techniques like XRD, FTIR, and TGA were employed to analyze the properties of the precipitate, with findings revealing a BET surface area between 1.5 to 16.14 m/g and a pore radius of 2.62 to 6.68 nm.
- Results showed that high pH favored vaterite structures, while low pH led to calcite formations; the surface area was influenced by the order of addition and reaction time, while pore radius was affected by pH and surfactants.
This study aimed to prepare colloidosome particles loaded with pyrazinamide (PZA). These drug-loaded colloidosomes were prepared using an gelation technique using a central composite design with a shell made of calcium carbonate (CaCO) particles. Optimal amounts of 150 mg of CaCO, sodium alginate (2%), and 400 mg of poly(3-hydroxybutyrate--3-hydroxy valerate) (PHBV) concentration resulted in the maximum drug loading and efficient release profile.
View Article and Find Full Text PDFGenomic data provides useful information for public health practice, particularly when combined with epidemiologic data. However, sampling bias is a concern because inferences from nonrandom data can be misleading. In March 2021, the Washington State Department of Health, USA, partnered with submitting and sequencing laboratories to establish sentinel surveillance for SARS-CoV-2 genomic data.
View Article and Find Full Text PDFBackground: The coronavirus disease 2019 (COVID-19) pandemic is dominated by variant viruses; the resulting impact on disease severity remains unclear. Using a retrospective cohort study, we assessed the hospitalization risk following infection with 7 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants.
Methods: Our study includes individuals with positive SARS-CoV-2 reverse transcription polymerase chain reaction (RT-PCR) in the Washington Disease Reporting System with available viral genome data, from 1 December 2020 to 14 January 2022.
Background: The COVID-19 pandemic is dominated by variant viruses; the resulting impact on disease severity remains unclear. Using a retrospective cohort study, we assessed the hospitalization risk following infection with seven SARS-CoV-2 variants.
Methods: Our study includes individuals with positive SARS-CoV-2 RT-PCR in the Washington Disease Reporting System with available viral genome data, from December 1, 2020 to January 14, 2022.
Background: Diarrhetic shellfish toxins (DSTs) in domestic shellfish and azaspiracids (AZAs) in imported products are emerging seafood safety issues in the United States. In addition to causing gastrointestinal illnesses, some of these toxins are also carcinogenic and genotoxic. Efficient analytical strategies are needed for their monitoring in U.
View Article and Find Full Text PDFWe introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a question about the image, the agent has to ground the question in image, infer context from history, and answer the question accurately. Visual Dialog is disentangled enough from a specific downstream task so as to serve as a general test of machine intelligence, while being sufficiently grounded in vision to allow objective evaluation of individual responses and benchmark progress.
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