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Utilising electronic anaesthesia records to audit nitrous oxide consumption and waste, and implementation of a loss monitoring system.
Br J Anaesth
January 2025
Department of Anaesthesia and Surgical Intensive Care, Changi General Hospital, Singapore, Singapore.
An examination of autopsies in a 400 bedded government hospital in Jhelum. An insight into the sudden cause of death and costs associated with autopsy in young government personnel.
J Pak Med Assoc
January 2025
Department of Pathology, Armed Forces Institute of Pathology, Rawalpindi, Pakistan.
Objective: To explore the different causes of sudden death among serving government employees.
Methods: The audit study was conducted at the Pathology Department of a tertiary care hospital Combined Military Hospital (CMH) Jhelum, Pakistan, and comprised data of all autopsies between January 2017 and June 2021. Sampling was done by non probability purposive sampling technique which requires no statistical method calculation.
Carbon Footprint Analysis of an Outpatient Dermatology Practice at an Academic Medical Center.
JAMA Dermatol
January 2025
Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Importance: There is growing awareness of the US health sector's substantial contribution to the country's greenhouse gas (GHG) emissions, exacerbating the health threats from climate change. Reducing health care's environmental impact requires understanding its carbon emissions, but there are few published audits of health systems and fewer comprehensive emissions analyses at the clinic or department level.
Objective: To quantify the annual GHG emissions from a large outpatient dermatology practice, compare relative sources of emissions, and identify actionable targets.
Control of a New Financial Risk Contagion Dynamic Model Based on Finite-Time Disturbance.
Entropy (Basel)
November 2024
School of Statistics and Data Science, Nanjing Audit University, Nanjing 211815, China.
With the widespread application of chaotic systems in many fields, research on chaotic systems is becoming increasingly in-depth. This article first proposes a new dynamic model of financial risk contagion based on financial principles and discusses some basic dynamic characteristics of the new chaotic system, such as equilibrium points, dissipativity, Poincaré diagrams, bifurcation diagrams, etc. Secondly, with the consideration of privacy during data transmission, the method was designed to protect the privacy of controlled systems in finite time based on perturbation.
View Article and Find Full Text PDFArticle Synopsis
- The study aims to enhance carbon footprint management for power companies using artificial intelligence (AI) and big data to create effective carbon reduction strategies.
- A carbon footprint calculation model is developed, employing machine learning to analyze emissions data, identify key factors, and explore reduction opportunities.
- Using examples from China Electric Power Resources and Datang International Electric Power Company, the study evaluates carbon emission achievements and challenges and proposes a new carbon audit evaluation system based on the driver-state-response (DSR) model, contributing valuable insights for stakeholders in the energy sector.
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