Small businesses need to engage in continuity planning to assure delivery of goods and services and to sustain the economy during an influenza pandemic. This is especially true in New York City, where 98 per cent of businesses have fewer than 100 employees. It was an objective therefore, to determine pandemic influenza business continuity practices and strategies suitable for small and medium-sized NYC businesses. The study design used focus groups, and the participants were owners and managers of businesses with fewer than 500 employees in New York City. The main outcome measures looked for were the degree of pandemic preparedness, and the feasibility of currently proposed business continuity strategies. Most participants reported that their businesses had no pandemic influenza plan. Agreement with feasibility of specific business continuity strategies was influenced by the type of business represented, cost of the strategy, and business size. It was concluded that recommendations for pandemic-related business continuity plans for small and medium-sized businesses should be tailored to the type and size of business and should highlight the broad utility of the proposed strategies to address a range of business stressors.
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J Trauma Nurs
January 2025
Author Affiliations: Castner Incorporated, Grand Island, NY (Dr Castner); Health Policy, Management, and Behavior, School of Public Health, University at Albany, Albany, New York (Dr Castner); Stony Brook University School of Nursing, Stony Brook, NY (Ms Zazzera); and Nursing Research and Evidence-Based Practice, Penn Medicine Lancaster General Health, Lancaster, PA (Dr Burchill).
Background: Trauma population health indicators are worsening in the United States. Nurses working in trauma care settings require specialized training for patient care. Little is known about national enumeration of nurses who hold skill-based trauma certificates.
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January 2025
School of Business Management, Zhejiang Financial College, Hangzhou, Zhejiang, China.
This paper investigates optimal ordering strategies in supply chains under two-level price fluctuations and initial profit allocation. By utilizing Copula functions to model the complex relationship between fluctuating prices and uncertain demand, the study develops both continuous and discrete decision models for practical applications. A discrete algorithm is proposed to approximate the optimal solution, with its convergence rigorously proven.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Section of Psychology, Health & Technology, Centre for eHealth and Wellbeing, University of Twente, Enschede, Netherlands.
To ensure that an eHealth technology fits with its intended users, other stakeholders, and the context within which it will be used, thorough development, implementation, and evaluation processes are necessary. The CeHRes (Centre for eHealth and Wellbeing Research) Roadmap is a framework that can help shape these processes. While it has been successfully used in research and practice, new developments and insights have arisen since the Roadmap's first publication in 2011, not only within the domain of eHealth but also within the different disciplines in which the Roadmap is grounded.
View Article and Find Full Text PDFPLoS One
January 2025
Harvard extension school, Harvard University, Boston, Massachusetts, United States of America.
To address the limitations of existing stock price prediction models in handling real-time data streams-such as poor scalability, declining predictive performance due to dynamic changes in data distribution, and difficulties in accurately forecasting non-stationary stock prices-this paper proposes an incremental learning-based enhanced Transformer framework (IL-ETransformer) for online stock price prediction. This method leverages a multi-head self-attention mechanism to deeply explore the complex temporal dependencies between stock prices and feature factors. Additionally, a continual normalization mechanism is employed to stabilize the data stream, enhancing the model's adaptability to dynamic changes.
View Article and Find Full Text PDFHeliyon
January 2025
College of Management, Guangzhou City University of Technology, Guangzhou, Guangdong,510800, China.
This study examined the impact of government subsidies on enterprise innovation performance in China. The fixed effects model was used for empirical analysis, utilizing panel data from 17,670 observations of 3703 listed A-share companies between 2012 and 2022, and the findings indicate that government subsidies significantly enhance enterprise innovation performance, with R&D investment serving as a partial mediator. The enterprise scale, ownership nature, and regional economic differences influenced the effectiveness of the subsidy.
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