" Assets Supporting Resilience of Older Adults and Their Communities during the COVID-19 Pandemic.

Despite societal perceptions of older adults as vulnerable, literature on resilience suggests that exposure to adversity and resources gained with life experience contribute to adaptation. One way to explore the nature of resilience is to document assets supporting adaptation. Interviews were conducted with older adults living in Canada at two time points during the COVID-19 pandemic, September 2020-May 2021 (T1) and January-August 2022 (T2).

Understanding Older Adults' Experiences with Cannabis for Medicinal Purposes: A Mixed Methods Study.

The aim of this study was to explore the perspectives of older medicinal cannabis consumers and those advising them on older Canadians' experiences accessing cannabis and information about it, as well as how stigma may influence their experiences. A concurrent triangulation mixed methods design was used. The design was qualitatively driven and involved conducting semi-structured interviews with older adults and advisors and developing a survey for older adults.

Joining Hands to Manage Transboundary Crises: A Comparative Evaluation of Policy Collaboration for Epidemic Prevention in China during SARS and COVID-19.

Increasing transboundary crises necessitate the development of crisis management capabilities that transcend boundaries. In such situations, inter-governmental and cross-functional collaboration has become a common practice to address the complexities of governance challenges. This study employs Social Network Analysis to examine the structure, function, and evolution of policy collaboration networks in China in response to COVID-19 and SARS.

Editorial: Identifying the Perfect Predictor of Absence of Disease: A Shift Toward Necessary Condition Analysis in Evidence-Based Medicine?

One of the challenges of evidence-based medicine is balancing population-level findings with individualized care. Average treatment effect studies, including cohort studies and randomized controlled trials, offer insights into factors affecting disease likelihood at group level or subgroup level (precision medicine), but are limited in predicting individual outcomes. This limitation arises because average treatment effect studies operate within a probabilistic causal framework, indicating how likely a disease is when a certain individual or contextual factor is present: if X, then probably Y.

Tax or subsidy? The impact assessment of environmental policies on carbon allocation and emissions abatement of prefabricated construction supply chain.

The construction sector, as the prime culprit that aggravates greenhouse gas emissions, has initiated transitions in construction methods for emissions abatement. In such a context, prefabricated construction has been widely promoted in developing countries. This paper assesses the effects of three environmental policies: carbon tax, green subsidy, and unit subsidy on carbon allocation and emissions abatement of prefabricated construction supply chain (PCSC) consisting of a prefab manufacturer (PM) and a project developer (PD).

Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction.

The rising incidences of myocardial infarction (MI), often affecting individuals without traditional risk factors, highlight the urgent need for improved early detection using personal health data. However, health surveys and electronic health records (EHRs) frequently suffer from class imbalances, leading to prediction biases and differences between specificity and sensitivity, which hinder reliable model development despite the valuable insights contained in these datasets. To address this, we have introduced a novel approach to enhance MI risk prediction using self-reported attributes from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health Interview Survey (NHIS) dataset.

Who has an appetite for insects? Identifying segments of early adopters of insect-based food and their product attribute preferences: Insights from a choice experiment study in Germany.

Despite well-documented scepticism among Western consumers about eating insects, there are groups of potential early adopters who will form the initial market for insect-based food. Understanding the different preferences of these potential early adopters is key to developing effective targeted marketing actions. This study aimed to identify segments of potential early adopters and their distinct product attribute preferences.

Association of child weight and adverse outcomes following antibiotic prescriptions in children: a national data study in Wales, UK.

Objective: To examine if the weight of a child determines adverse events following oral antibiotics prescription.

Design: Population respective cohort using linked general practice (GP), hospital data and linkage with the Welsh Demographic Service for demographic information. Data linkage was performed using Wales health data, extracted from the SAIL (Secure Anonymised Information Linkage) databank.

Institutional ownership drives a new strategy for green total factor productivity development of Chinese listed companies: Effects, mechanisms, and implications.

The low-carbon transformation of China's economy is urgent, and the innovation of core technologies related to it cannot be without financial support. Given the limited availability of green funding, it is imperative to seek the help of social funding more widely. Among them, the impact of institutional ownership (IO) on the green total factor productivity (GTFP) at micro level cannot be ignored.

Internal Control Quality and Boardroom Backscratching.

In modern firms, conflicts may arise between the chief executive officer and board of directors due to the separation of ownership and operations. Such conflicts may weaken listed companies' performance in the short term or affect their development in the long term. Using data on Shanghai and Shenzhen A-share listed companies from 2013 to 2022, this study empirically examines the impact of internal control quality on boardroom backscratching.

Impact of Reverse Empowerment and Proactive Motivations on Physicians' Online Knowledge Sharing in Digital Platforms: Survey Study.

Background: Digital platforms offer a venue for patients and physicians to exchange health information and provide health care services outside traditional organizational contexts. Previous studies have seldom focused on the factors that drive the proactivity of physicians' online behavior. Additionally, there is limited research exploring the influence of patients on physicians' online behavior, particularly from the perspective of patients possessing power.

Optimizing treatment sequencing in multiple myeloma: a novel model to predict survival outcomes.

Objective: Patients with multiple myeloma (MM) typically require multiple regimens and become harder to treat with each line of treatment. Furthermore, there is a lack of direct comparative clinical trial data to guide effective treatment sequencing. A novel model is described comparing alternative MM treatment sequences to optimize patient outcomes.

Assessing women's stated preferences for breast cancer screening: a systematic review and a meta-analysis.

Background: Breast cancer is the most common diagnosed disease, and the second leading cause of death among women. Thus, due to its importance, the current research is aimed at identifying the preferences of individuals for improving breast cancer screening programs and the related policies.

Method: A systematic search was applied on databases including - PubMed, Scopus, the Web of Science, Embase, Cochrane, SID- up to October 2022.

Automatic detection of multi-antibiotic residues simultaneously in aquatic products by visual protein microarray chips.

A 96-well microplate-based protein microarray chip which can simultaneously detect three different families of antibiotics using a multiplexed approach has been developed for the first time. All steps in the microarray chip can be completed through an automated biochip analyzer, enabling high throughput analysis of 96 samples within 60 min according to the set program. The microarray chip can be visually evaluated by the color depth of array points, and can also be quantified through a scanner.

Misinformation exploits outrage to spread online.

We tested a hypothesis that misinformation exploits outrage to spread online, examining generalizability across multiple platforms, time periods, and classifications of misinformation. Outrage is highly engaging and need not be accurate to achieve its communicative goals, making it an attractive signal to embed in misinformation. In eight studies that used US data from Facebook (1,063,298 links) and Twitter (44,529 tweets, 24,007 users) and two behavioral experiments (1475 participants), we show that (i) misinformation sources evoke more outrage than do trustworthy sources; (ii) outrage facilitates the sharing of misinformation at least as strongly as sharing of trustworthy news; and (iii) users are more willing to share outrage-evoking misinformation without reading it first.

Corrigendum: Analysis of the structure and trend prediction of China's total health expenditure.

[This corrects the article DOI: 10.3389/fpubh.2024.

The era of digital trade: Exploring new mechanisms and threshold effects for green upgrading of manufacturing companies.

The green transformation of manufacturing companies is of strategic importance for promoting sustainable development, optimising energy structure and improving environmental quality. This article empirically examines the impact of digital trade on the green transformation of manufacturing companies and the role of green technology innovation using panel data of Chinese A-share listed manufacturing companies from 2011 to 2021. The findings are as follows: digital trade significantly accelerates the green transformation of manufacturing companies, and this effect is more obvious in mature companies, highly competitive industries and non-renewable energy companies.

Cognitive reflection is a distinct and measurable trait.

We report the findings of an adversarial collaboration examining whether the cognitive reflection test (CRT) measures anything beyond mathematical aptitude and, if so, whether its incremental predictive validity can be attributed to reflection, per se. We found that an 8-item CRT has greater predictive validity than an 8-item Mathematical Aptitude Test (MAT) consisting of comparably difficult items which lack dominant intuitive lures. Further, the incremental predictive validity stems from the CRT's measurement of reflection, which we show using both structural equation models and a dual-response paradigm that helps distinguish susceptibility to intuitions from inadequate mathematical aptitude.

Preferences of Individuals With Obesity for Online Medical Consultation in Different Demand Scenarios: Discrete Choice Experiments.

Background: Obesity is a unique chronic disease, with China having the largest number of people living with overweight and obesity in the world. There has been little research from the demand perspective for online medical consultation (OMC) by individuals living with obesity. With the growing demand for obesity OMC, especially due to the emergence of new pharmacotherapies, such as glucagon-like peptide-1 receptor agonists, individuals living with obesity are seeking both advice on obesity management and the prescription of obesity drugs.

Strong long ties facilitate epidemic containment on mobility networks.

The analysis of connection strengths and distances in the mobility network is pivotal for delineating critical pathways, particularly in the context of epidemic propagation. Local connections that link proximate districts typically exhibit strong weights. However, ties that bridge distant regions with high levels of interaction intensity, termed strong long (SL) ties, warrant increased scrutiny due to their potential to foster satellite epidemic clusters and extend the duration of pandemics.

Study on Fatigue Allowance Formulation Based on Physiological Measurements.

The fatigue allowance effectively mitigates declines in physiological state due to work fatigue. An appropriate allowance rate facilitates timely recovery for employees and serves as a crucial basis for labor quota formulation. In this paper, the action mode in mechanical processing was extracted and disassembled into six action units.

A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process.

The iron and steel industry is energy-intensive due to the large volume of steel produced and its high-temperature and high-weight characteristics, sensors such as high-temperature application sensors can be utilized to collect production data and support the process control and optimization. Steelmaking-refining-continuous casting (SRCC) is a bottleneck in the iron and steel production process. SRCC scheduling problems are worldwide problems and NP-hard.