Publications by authors named "S S Bhargava"

Article Synopsis
  • - This study aimed to understand how opioid users and their peer educators in Kolkata view treatment and overdose risks related to opioid use.
  • - Researchers conducted in-depth interviews with 20 opioid users and six peer educators, identifying key themes around knowledge, treatment effectiveness, and awareness of overdose resources like naloxone.
  • - The results highlight a critical need for better training and support for opioid users in recognizing overdoses and administering life-saving interventions, which can inform future policymaking to combat the opioid crisis.
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Study Objectives: Rapid growth in childhood predisposes to obesity and cardiometabolic diseases in adulthood. While obstructive sleep apnea (OSA) is bidirectionally linked to obesity, its developmental origins are sparsely studied. We examined associations between postnatal growth and the risk of OSA in adulthood.

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Intermetallic compounds are an emerging class of materials with intriguing hydrogen activation and storage capabilities garnering attention for their application in low-temperature hydrogen storage and metal hydride batteries. However, none of the existing intermetallic compounds have met the gravimetric hydrogen storage capacity target of 5.5 wt.

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Four new mononuclear gold (I) compounds of the type [AuL{κC-2-CHP(S)Ph}] {L = PTA (1), PPh (2), PPh(CH-3-SONa) (3), and PPh(2-py) (4)} were prepared by scission of the dinuclear compound [Au{μ-2-CHP(S)Ph}] by L or via a transmetalation reaction using the organotin reagent 2-MeSnCHP(S)Ph and a suitable gold halide precursor. The cytotoxic potential of complexes 1-4 was evaluated against four human cancer cell lines of diverse cellular origin: cervical (HeLa), prostate (PC-3), non-small cell lung adenocarcinoma (A549), and fibrosarcoma (HT-1080). The in vitro cytotoxicity results showed that 1 demonstrated exceptional anticancer activity with IC values ranging from 0.

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Deep eutectic electrolytes (DEEs) show promise for future electrochemical systems due to their adjustable buffer capacities. This study utilizes machine learning algorithms to analyse the carbon dioxide reduction reaction (CORR) in DEEs with a buffer capacity of approximately 10.21 mol/pH.

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