Emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis, therapeutics and vaccines
The emergence of novel and evolving variants of SARS-CoV-2 has fostered the need for
change in the form of newer and more adaptive diagnostic methods for the detection of …
change in the form of newer and more adaptive diagnostic methods for the detection of …
[HTML][HTML] Effect of citrus flavonoids, naringin and naringenin, on metabolic syndrome and their mechanisms of action
Flavonoids are important natural compounds with diverse biologic activities. Citrus
flavonoids constitute an important series of flavonoids. Naringin and its aglycone naringenin …
flavonoids constitute an important series of flavonoids. Naringin and its aglycone naringenin …
Photovoltaic penetration issues and impacts in distribution network–A review
The solar energy generation has grown significantly in the past years. The importance of PV
penetration in power system as a major element of renewable energy source has seen it …
penetration in power system as a major element of renewable energy source has seen it …
[HTML][HTML] Comparing different supervised machine learning algorithms for disease prediction
Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …
field. Disease prediction using health data has recently shown a potential application area …
[HTML][HTML] Early impacts of the COVID-19 pandemic on the United States construction industry
The COVID-19 pandemic has been the largest global health crisis in decades. Apart from
the unprecedented number of deaths and hospitalizations, the pandemic has resulted in …
the unprecedented number of deaths and hospitalizations, the pandemic has resulted in …
Actively variable-spectrum optoelectronics with black phosphorus
Room-temperature optoelectronic devices that operate at short-wavelength and mid-
wavelength infrared ranges (one to eight micrometres) can be used for numerous …
wavelength infrared ranges (one to eight micrometres) can be used for numerous …
Focused echocardiographic evaluation in life support and peri-resuscitation of emergency patients: a prospective trial
…, H Ilper, H Ackermann, M Rudolph, S Uddin… - Resuscitation, 2010 - Elsevier
PURPOSE OF THE STUDY: Focused ultrasound is increasingly used in the emergency
setting, with an ALS-compliant focused echocardiography algorithm proposed as an adjunct …
setting, with an ALS-compliant focused echocardiography algorithm proposed as an adjunct …
[HTML][HTML] Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
Disease risk prediction is a rising challenge in the medical domain. Researchers have
widely used machine learning algorithms to solve this challenge. The k-nearest neighbour …
widely used machine learning algorithms to solve this challenge. The k-nearest neighbour …
Mouse models of allergic asthma: acute and chronic allergen challenge
AT Nials, S Uddin - Disease models & mechanisms, 2008 - journals.biologists.com
Asthma is defined as a chronic inflammatory disease of the airways; however, the underlying
physiological and immunological processes are not fully understood. Animal models have …
physiological and immunological processes are not fully understood. Animal models have …
The RedMaPPer galaxy cluster catalog from DES science verification data
We describe updates to the redMaPPer algorithm, a photometric red-sequence cluster finder
specifically designed for large photometric surveys. The updated algorithm is applied to …
specifically designed for large photometric surveys. The updated algorithm is applied to …