The impact of digital transformation on open innovation performance: The intermediary role of digital innovation dynamic capability.

In the context of digital economy, both the process and boundaries of open innovation performance are changing, and digital transformation has become an important factor for enterprises to realize open innovation performance in a complex and changing environment. This study based on the dynamic capability theory, etc. to explore how digital transformation drives the open innovation performance of enterprises and analyze its impact effects as well as the internal mechanism of action.

Sustainable care: How CSR shapes wellbeing in healthcare organizations in Beijing, Shanghai, and Guangzhou.

This article investigates the link between corporate social responsibility (CSR) perceptions of employees and employee burnout, from a sustainable development point of view, in the healthcare system of China. It fills the void in conventional literature by analyzing the indirect effect of CSR on the health and well-being of health workers aligning with SDGs focused on health and wellbeing. To be able to address the crux of healthcare professionals' burnout which can have far-reaching negative consequences for individual welfare and healthcare delivery, this research explores the linkages between CSR perceptions, employee burnout, happiness, psychological safety, and altruistic behavior.

From missing data to informative GPA predictions: Navigating selection process beliefs with the partial identifiability approach.

The extent to which college admissions test scores can forecast college grade point average (GPA) is often evaluated in predictive validity studies using regression analyses. A problem in college admissions processes is that we observe test scores for all the applicants; however, we cannot observe the GPA of applicants who were not selected. The standard solution to tackle this problem has relied upon strong assumptions to identify the exact value of the regression function in the presence of missing data.

How the environmental credit evaluation system affects corporate pollution emissions: Evidence from China.

The environmental credit evaluation system (ECES), which integrates control, market, and contractual elements as a novel comprehensive environmental regulation tool, has been piloted in China since the late 1990s. The effectiveness of this system in improving environmental conditions and the mechanisms through which it operates have attracted significant attention. This study utilizes the pilot implementation of the ECES as a quasi-natural experiment, integrating data from Chinese industrial firms and pollution statistics from 2003 to 2014.

A comparative study of dynamic risk spillovers among financial sectors in China before and after the epidemic.

This paper takes the unexpected event of the new coronavirus as the research background, selects the daily closing price data of the financial sectors (banking, insurance, securities, and multifinance) from 20 June 2017 to 31 December 2023. It then applies the TVP-VAR-DY model to empirically study the risk spillover effect among financial sectors. The study identified three distinct stages: before, during, and after the epidemic.

Fungal sinusitis due to mucormycosis in a diabetic immunosuppressed patient with acute myeloid leukemia (AML).

Introduction: Mucormycosis is an acute onset, invasive, fungal infection, characterized by organ involvement, and caused by Mucor, Rhizopus, or Absidia. Our aim was to present a case of mucormycotic infection and emphasize its importance in a diabetic immunosuppressed patient with acute myeloid leukemia (AML).

Case Presentation: A 68-year-old hypertensive and diabetic male patient with a diagnosis of AML developed respiratory failure and exhibited diffuse bilateral consolidation in high-resolution computed tomography (HRCT).

Examining the effectiveness of dissuasive taxes as a policy tool for reducing tobacco and alcohol consumption in Cameroon: A welfare and microsimulation analysis.

Deterrent taxes are a crucial policy tool for reducing the consumption of harmful products like tobacco and alcohol. However, assessing dissuasive taxes impact different income groups is important to ensure that their burden is not disproportionately borne by low-income households. This study examines the effectiveness of deterrent taxes as an economic policy tool for reducing tobacco and alcohol consumption in Cameroon.

The potential of Logistics 4.0 technologies: a case study through business intelligence framing by applying the Delphi method.

Introduction: The growing competitiveness and the importance of data availability for organizations have created a demand for intelligent information systems capable of analyzing data to support strategy and decision-making. Organizations are generating more and more data due to new technologies associated with Industry 4.0 and Logistics 4.

Bronchopulmonary dysplasia to predict neurodevelopmental impairment in infants born extremely preterm.

Background: Bronchopulmonary dysplasia (BPD) in extremely low gestational age neonates (ELGANs) was associated with neurodevelopmental impairment (NDI). However, the best endpoint of BPD assessment to predict subsequent NDI remains unclear.

Methods: We re-analyzed the PREMILOC trial, previously designed to test the effect of prophylactic hydrocortisone on survival without BPD at 36 weeks of postmenstrual age (BPD) in ELGANs, to compare predictive models of NDI considering baseline characteristics, respiratory course up to and BPD status at 36 or 40 weeks of postmenstrual age (BPD/BPD).

Development and psychometric validation of an age-friendly health system assessment tool in the Iranian context.

Evaluating health system interventions for elderly care necessitates a context-specific, credible and dependable instrument. This research was dedicated to creating and validating a tool to assess the health system's age-friendliness. The study unfolded in two pivotal stages: the generation of items utilizing a hybrid model and the psychometric appraisal of the tool, encompassing both validity and reliability assessments.

Comparison between OK-432 and Talc for pleurodesis in patients with persistent pulmonary air leak: a Japanese nationwide retrospective database study.

Objectives: OK-432 (Picibanil) and talc are used in patients with persistent pulmonary air leaks. However, it is unclear which of these two agents is more effective.

Methods: This retrospective study used data from the Japanese Diagnosis Procedure Combination inpatient database.

Prevalence and Associated Factors of Adolescent (15-19 Years) Childbearing in Ghana.

Adolescent pregnancies continue to be a global issue that affects more high-income, middle-income, and then low-income countries, with the latter experiencing the majority of cases. The current study looked into the prevalence and variables predicting adolescent childbearing in Ghana. Data from the Ghana Multiple Indicator Cluster Survey (MICS) 2017-2018 was used to conduct an analytical cross-sectional study.

Do bitcoin electricity consumption and carbon footprint exhibit random walk and bubbles? Analysis with policy implications.

One of the main current focuses of global economies and decision-makers is the efficiency of energy utilization in cryptocurrency mining and trading, along with the reduction of associated carbon emissions. Understanding the pattern of Bitcoin's energy consumption and its bubble frequency can greatly enhance policy analysis and decision-making for energy efficiency and carbon emission reduction. This research aims to assess the validity of the random walk hypothesis for Bitcoin's electricity consumption and carbon footprint.

Economic evaluation of stereotactic radiotherapy and stereotactic radiosurgery technologies in the treatment of cancers: a systematic review.

Introduction: This systematic review study investigated the cost-effectiveness of stereotactic radiotherapy (SRT) and stereotactic radiosurgery (SRS) for treatment of various types of cancers.

Methods: PubMed, Scopus, and Web of Science were searched from 30 December 1990 to 1 January 2023. The entered studies were screened in accordance with the inclusion criteria.

Factors affecting in-hospital mortality in patients with miliary tuberculosis: A retrospective cohort study.

Background: Miliary tuberculosis (TB) is a fatal disease; thus, prompt diagnosis and immediate intervention are indispensable. However, the risk factors for in-hospital mortality in patients with miliary TB remain unclear. Therefore, this study aimed to identify the factors associated with in-hospital mortality in patients with miliary TB using a Japanese nationwide inpatient database.

Endobronchial silicone spigot in prolonged air leaks: Nationwide study on outcomes and risk factors for treatment failure.

Background: The endobronchial silicone spigot, also known as the endobronchial Watanabe spigot, is used in bronchoscopic interventions to manage prolonged pulmonary air leakage. However, the outcomes of this procedure have not been thoroughly investigated.

Methods: Using a Japanese national inpatient database from April 2014 to March 2022, we assessed the clinical characteristics and outcomes of all eligible patients who received the endobronchial spigot.

Research on the impact of digital technology applications on firms' dual innovation in the digital economy context.

In recent years, applications of digital technology have gradually become the primary driving force for enterprise innovation. Although the impact of digital technology applications on enterprise innovation has been recognized by the academic community, existing studies have failed to systematically reveal the mechanism of digital technology applications on firms' dual innovation, overlooking the data-driven dynamic characteristics of innovation development in the digital era, and neglecting external conditions such as environmental complexity. Therefore, based on dynamic capability theory and resource orchestration theory, this study adopts a "technology-economy" research paradigm to explore and analyze the impact of digital technology applications on dual innovation.

Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study.

Introduction: This large case-control study explored the application of machine learning models to identify risk factors for primary invasive incident breast cancer (BC) in the Iranian population. This study serves as a bridge toward improved BC prevention, early detection, and management through the identification of modifiable and unmodifiable risk factors.

Methods: The dataset includes 1,009 cases and 1,009 controls, with comprehensive data on lifestyle, health-behavior, reproductive and sociodemographic factors.

The COVID-19 pandemic and non-COVID-19 healthcare utilization in Mexico.

Objectives: This study aimed to analyze the effects of the COVID-19 pandemic on non-COVID-19 healthcare utilization in Mexico, including oral health, mental health, communicable disease visits, health checkups, chronic degenerative disease visits, postpartum care, prenatal care, and family planning visits.

Study Design: This was a retrospective ecological analysis during the COVID-19 pandemic. During the pandemic, the Mexican government recommended non-essential consultations be suspended or rescheduled to accommodate the new demand for healthcare services from COVID-19 patients.

The impact of household wealth gap on individual's mental health.

Background: Improving the individual's mental health is important for sustainable economic and social development. Although some studies found that household wealth gap may affect individuals' mental health, few studies have clarified the causal relationship between household wealth gap between mental health in China. This study examines the impact of the household wealth gap on individuals' mental health using data from the 2012-2018 China Family Panel Survey.

Fourteen quick tips for crowdsourcing geographically linked data for public health advocacy.

This article presents 14 quick tips to build a team to crowdsource data for public health advocacy. It includes tips around team building and logistics, infrastructure setup, media and industry outreach, and project wrap-up and archival for posterity.

Social gradient in use of health services and health-related quality of life of children with attention-deficit/hyperactivity disorder: A systematic review.

Aims: ADHD (attention-deficit/hyperactivity disorder) affects 5% of children on average. Despite the high need to access services for ADHD treatment, not all children with ADHD utilise healthcare services equally. This study aims to systematically synthesise evidence of equity and equality in health service use/costs and health-related quality of life (HRQoL)/wellbeing of children with ADHD across socioeconomic (SES) classes.