Epidemiological methods in transition: Minimizing biases in classical and digital approaches.

Epidemiology and Public Health have increasingly relied on structured and unstructured data, collected inside and outside of typical health systems, to study, identify, and mitigate diseases at the population level. Focusing on infectious diseases, we review the state of Digital Epidemiology at the beginning of 2020 and how it changed after the COVID-19 pandemic, in both nature and breadth. We argue that Epidemiology's progressive use of data generated outside of clinical and public health systems creates several technical challenges, particularly in carrying specific biases that are almost impossible to correct for a priori.

Unpacking multidimensional effects of economic restructuring and technological progress on carbon emission performance: the moderating role of environmental regulation.

The growth in carbon emissions poses a severe challenge to global sustainable development, making it imperative to explore the impacts of economic restructuring and technological progress on Carbon Emission Performance (CEP). However, existing studies often lack an integrated analysis of economic restructuring and technological progress, while giving limited attention to the indirect role of Environmental Regulation (ER). This study constructs a multidimensional theoretical framework, breaking down economic restructuring into four dimensions-industrial structure, factor input, ownership, and new-type urbanization (NTU), and refining technological progress into technological innovation and energy efficiency.

Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI.

Mass spectrometry imaging (MSI) provides valuable insights into metabolic heterogeneity by capturing in situ molecular profiles within organisms. One challenge of MSI heterogeneity analysis is performing an objective segmentation to differentiate the biological tissue into distinct regions with unique characteristics. However, current methods struggle due to the insufficient incorporation of biological context and high computational demand.

Application of the Health Belief Model (HBM) to Explore the Quality of Sexual and Reproductive Health (SRH) Education in Sri Lanka.

Many countries, including Sri Lanka, are taking steps to integrate sex education into their educational systems to combat child abuse. However, this effort is often met with skepticism in Asian nations, including Sri Lanka. This study takes a unique approach by applying the criteria of the health belief model to predict the quality of reproductive health (SRH) education in Sri Lanka, offering a fresh perspective on this issue.

Access to healthcare for children with CHDs in middle and low-income countries: a systematic literature review.

CHD includes a wide range of cardiac disorders present at birth. If appropriate care is delivered in time, the prognosis is relatively good. However, in many parts of the world, access to healthcare continues to be a problem for these patients, particularly in low- and middle-income countries.

Unveiling the enigma of blind box impulse buying curiosity: The moderating role of price consciousness.

This study explores the causes of curiosity-driven impulse buying in blind boxes using the Stimulus-Organism-Response (S-O-R) model and adaptation level theory. It examines how store environment and product factors contribute to customer curiosity, incorporating price consciousness into the overall framework. Insights from an online survey of 306 Chinese respondents indicate that environmental factors and specific product characteristics positively influence consumer curiosity, while price consciousness has a negative moderate effect.

Evidence Supports the Validity and Reliability of Response Times from a Brief Survey as a Digital Biomarker for Processing Speed in a Large Panel Study.

Survey response times (RTs) have hitherto untapped potential to allow researchers to gain more detailed insights into the cognitive performance of participants in online panel studies. We examined if RTs recorded from a brief online survey could serve as a digital biomarker for processing speed. Data from 9,893 adults enrolled in the nationally representative Understanding America Study were used in the analyses.

D3-ImgNet: A Framework for Molecular Properties Prediction Based on Data-Driven Electron Density Images.

Artificial intelligence technology has introduced a new research paradigm into the fields of quantum chemistry and materials science, leading to numerous studies that utilize machine learning methods to predict molecular properties. We contend that an exemplary deep learning model should not only achieve high-precision predictions of molecular properties but also incorporate guidance from physical mechanisms. Here, we propose a framework for predicting molecular properties based on data-driven electron density images, referred to as D3-ImgNet.

Value-Based Indication-Specific Pricing and Weighted-Average Pricing: Estimated Price and Cost Savings for Cancer Drugs.

Objectives: For US Medicare and Medicaid, single drug prices do not reflect the value of supplemental indications. Value-based indication-specific and weighted-average pricing has been suggested for drugs with multiple indications. Under indication-specific pricing, a distinct price is assigned to the differential value a drug offers in each indication.

Dataset linking women's maternity care experiences with hospital environment and governance in Ireland.

Many scholars argue that there is a deepening crisis of trust in healthcare systems. What is not contested is the centrality of public trust in building reputational value in healthcare organisations. However, there is a dearth of research focused on better understanding how trust in healthcare institutions, and the healthcare workforce, can be sustainably cultivated.

Planting the Seed of Epistemic Curiosity: The Role of the Satisfaction of the Needs for Autonomy and Competence.

We posit that curiosity, an epistemic emotion, is an integral part of entrepreneurial education, entrepreneurial activities, and learning, which seek to develop an entrepreneurial mindset, a form of cognitive ability. The purpose of the present investigation was to examine the influence of autonomy and competence satisfaction on epistemic curiosity and the influence of epistemic curiosity on epistemic satisfaction and performance on epistemic activities in entrepreneurial education. Participants completed a battery of questionnaires in three waves of data collection.

Exposing a Motherhood Penalty in Sport: A Feminist Narrative Inquiry of Media Stories of Canadian Athlete Mothers' Journeys to the 2020 Tokyo Games.

Coinciding with athlete mothers' stories gaining media visibility, sport media researchers are studying media discourses to learn more about socially constructed motherhood and sport. The present study extends media research on elite athlete mothers, by using feminist narrative inquiry to interrogate discrimination meanings in sport. North American sport media stories were collected on Canadian athletes' (i.

Implementing a General Practice-Based Link Worker Intervention for People with Multimorbidity During the Covid-19 Pandemic- a Mixed Methods Process Evaluation of the LinkMM RCT.

Background: Social prescribing link workers support patients to connect with community resources to improve their health and well-being. These roles are prominent in policy, but there is limited evidence on what support is provided by link workers and what factors influence implementation of link worker interventions.

Methods: A convergent, mixed methods process evaluation of an exploratory randomised trial of a one-month general practice-based link worker intervention targeting adults with multimorbidity in deprived areas.

Predicting the replicability of social and behavioural science claims in COVID-19 preprints.

Replications are important for assessing the reliability of published findings. However, they are costly, and it is infeasible to replicate everything. Accurate, fast, lower-cost alternatives such as eliciting predictions could accelerate assessment for rapid policy implementation in a crisis and help guide a more efficient allocation of scarce replication resources.

Facilitators and inhibitors of attitude and word-of-mouth intention toward adoption of digital municipal service systems: A stimulus-organism-response approach.

Increased technology adoption has significantly transformed how governments interact with citizens. Today, e-government services and tools are integral to modern public administration. Factors affecting users' adoption of e-government services have been studied in the past.

The Impact of Job Satisfaction on the Quality of Life of Formal Caregivers of the Elderly.

Background/objectives: Absenteeism refers to the frequent, often unplanned, absence from the workplace. This study examines the interrelations among job satisfaction, quality of life (QoL), and absenteeism among formal caregivers for elderly individuals. With the significant demographic shift toward an aging population, understanding these dynamics is increasingly important.

Evaluation and spatiotemporal evolution of veterinary talent competitiveness: a new perspective of veterinary education.

Introduction: Improving the quantity and quality of veterinary talent cultivation is an urgent issue to address in current veterinary education and is key to enhancing veterinary talent competitiveness. Starting from an industrial perspective, the introduction of scientific analytical methods for studying veterinary talent competitiveness offers a new view on veterinary education and helps to improve the quality of veterinary education and talent cultivation.

Methods: This study develops a veterinary talent competitiveness evaluation index based on the characteristics of veterinary talent.

The unrecognized potential of potential-based achievement goals.

Background: For over a decade, growth-oriented achievement goal constructs like potential-based goals and personal best goals have remained relatively unnoticed. This empirical study aims to highlight that goal theorists might be limiting themselves by not incorporating potential-based goals into their frameworks.

Aims: The primary objective of this research was to underscore the significant yet underappreciated role of potential-based goals in empirical studies within the 3 × 2 achievement goal framework.

Drivers of global tourism carbon emissions.

Tourism has a critical role to play in global carbon emissions pathway. This study estimates the global tourism carbon footprint and identifies the key drivers using environmentally extended input-output modelling. The results indicate that global tourism emissions grew 3.

Living in the Minds of Others: How Pudor and Social Judgements Affect Women's Cervical Cancer Screening Uptake in Mozambique?

Mozambique introduced its cervical cancer screening programme in 2009, but only 3.5% of the target women participate in screening annually. While previous research has focused on provision and access to service, and women's cognitive barriers to screening, this study explores the emotional factors, particularly pudor, that affect women's acceptance of screening.

The impact of new VAT enforcement on financial performance: Evidence from Saudi Arabia non-financial listed companies using the event study and ARMA model.

This paper examines the influence of the new 15 % Value Added Tax (VAT) enforcement on non-financial listed companies in Saudi Arabia. By comparing financial data from 2019, before the VAT implementation and the COVID-19 pandemic, with data from 2020, during both the VAT increase and the pandemic, the research aims to uncover the consequences of this tax policy change. Utilizing charts, tables, and an event study analysis approach with the Autoregressive Moving Average (ARMA) model, we investigated key financial indicators such as Shareholders' Equity (SE), Total Income (TI), Total Revenues (TR), Net Income (NI), Total Expenses (TE), Other Changes in Operating Activity (COA), and Cash at the End of the Period (CEP).

Beauty growth-mindset promotes prosocial and altruistic behavior.

The effects of beauty on judgment and behavior are well-established and somewhat "unidirectional" (i.e., it seems that only beautiful people reap social benefits).

Substitution patterns and price response for plant-based meat alternatives.

Efforts to promote sustainable resource use through reduced meat consumption face challenges as global meat consumption persists. The resistance may be attributed to the lower sales price of meat compared to most plant-based meat alternatives (PBMAs). Addressing this, our research delves into the pivotal question of which PBMAs resonate most with consumers and how pricing affects demand.

Navigating the path to environmental sustainability: Insights from CIVETS on the intersection of ICT diffusion, natural resources, and green technological innovation.

The rapid technological and economic growth in CIVETS countries poses challenges to environmental sustainability. This study explores the intricate relationships between Information and Communication Technology (ICT), natural resource usage, and green innovation in these economies. Employing advanced statistical models uncovers long-term and short-term patterns, providing valuable insights for policymakers, stakeholders, and scholars.

Using YouTube Comments Data to Explore Postpartum Depression in Social Media: An Infodemiology Study.

Background: Postpartum depression (PPD) is a prevalent mental health issue profoundly impacting both parents and their families. This study examines YouTube comments to identify common public discourse and prevalent themes surrounding PPD.

Methods: We analyzed 4915 comments from 33 YouTube videos to provide a comprehensive picture of PPD-related discourse on social media.