Publications by authors named "H ARORA"

Background: Since the inception of the ASHAs in the year 2005, their work horizons have increased from Reproductive, Maternal, Newborn, Child, and Adolescent health (RMNCH + A), Communicable and Non-Communicable Diseases (CD & NCD) to oral health, ophthalmologic care, and other supportive community level healthcare services. The present literature lacks comprehensive understanding and synthesis of domain-wise knowledge of ASHAs and the factors affecting their knowledge. Therefore, this study aimed to synthesize and collate the relevant evidence to understand the overall knowledge of ASHAs.

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Article Synopsis
  • - M2D2 is a two-stage machine learning pipeline that helps discover effective antimicrobial drug combinations, aiming to tackle drug resistance without the need for costly omics data.
  • - It enhances the accuracy of identifying drug targets by using both experimental and computational methods, and provides insights into how different drugs interact with each other.
  • - The framework was validated with experiments involving 946 combinations of approved drugs and antibiotics, revealing promising synergies, including a notable combination of a cerebrovascular drug and penicillin, while also confirming these findings through genome-wide CRISPR screens.
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Acupuncture, an increasingly popular alternative medical therapy, has heightened the demand for information on its safety profile. This is a case report involving a 28-year-old female who presented with intense right-sided chest pain and breathlessness after an acupuncture session where needles were inserted into her chest wall. The immediate medical evaluation revealed a tension pneumothorax with radiographic evidence of a mediastinal shift, compelling, urgent intervention via chest tube insertion.

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This study investigated the influence of filter media characteristics on manganese (Mn) removal in groundwater biofilters during the start-up phase. Six pilot scale biofilters containing three different granular activated carbons (GAC), two anthracite, and one sand media were run for 133 days to examine their Mn removal performance at a drinking water utility, while also monitoring ATP and bacterial growth as indicators of biological activity. Key findings demonstrate the critical role of media characteristics, especially for GAC media.

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