A Quantitative Comparison Between Human and Artificial Intelligence in the Detection of Focal Cortical Dysplasia.

Objectives: Artificial intelligence (AI) is thought to improve lesion detection. However, a lack of knowledge about human performance prevents a comparative evaluation of AI and an accurate assessment of its impact on clinical decision-making. The objective of this work is to quantitatively evaluate the ability of humans to detect focal cortical dysplasia (FCD), compare it to state-of-the-art AI, and determine how it may aid diagnostics.

Beyond the prototype: Unpacking the intersectional identity and image work of female minority founders in a startup context.

It is well documented that female minority founders (FMFs) face disadvantages in starting and scaling their ventures. However, the causes of these disadvantages-as well as how FMFs navigate these challenges-are less understood. Our article adopts an intersectionality lens, which allows us to focus on and examine the multiple intersecting dimensions of FMFs (such as gender, ethnicity, migrant status, and social class) and how they influence their entrepreneurial experiences.

Getting midwives back to hospitals: A discrete choice experiment.

Background: There is a severe global shortage of midwives, and the situation worsens when qualified professionals leave their jobs because of inadequate working conditions. Hospitals have increasing difficulties in filling vacancies for midwives. In the case of Germany, midwives tend to give up birth assistance after an average of seven years working in delivery rooms, which are usually led by physicians.

Good for you, bad for me? The daily dynamics of perspective taking and well-being in coworker dyads.

Perspective taking is encouraged by organizations as a form of supporting coworkers. Yet, its impact on employees' and coworkers' well-being is not well understood. We, therefore, take a dyadic approach to understand the daily dynamics of employees' perspective taking, its benefits for coworkers, and its costs for employees themselves.

Tell-and-sell or ask-and-listen: A self-concept perspective on why it needs leadership communication flexibility to engage subordinates at work.

Beneath the verbosity of modern leadership theories, there is a simple truth: leading people is essentially about communication. The respective communicative philosophies underlying leadership theories can be broadly separated into two camps: one arguing that leaders should tell-and-sell and one urging leaders to ask-and-listen. In the present essay, we first define the two communication approaches.

Removing Dust From the German Health Care System by Introducing Health Apps Into Standard Care: Semistructured Interview Study.

Background: In 2019, Germany launched the Digital Healthcare Act. The reform enables physicians to prescribe health apps as treatments to their statutory-insured patients.

Objective: We aimed to determine the extent to which the integration of health apps into standard care could be considered beneficial and which aspects of the regulation could still be improved.

How to Predict Drug Expenditure: A Markov Model Approach with Risk Classes.

Background: Although pharmaceutical expenditures have been rising for decades, the question of their drivers remains unclear, and long-term projections of pharmaceutical spending are still scarce. We use a Markov approach considering different cost-risk groups to show the possible range of future drug spending in Germany and illustrate the influence of various determinants on pharmaceutical expenditure.

Methods: We compute different medium and long-term projections of pharmaceutical expenditure in Germany up to 2060 and compare extrapolations with constant shares, time-to-death scenarios, and Markov modeling based on transition probabilities.

A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?

In less than a decade, the Egyptian Premier League has experienced three distinct changes between periods of competition in either crowded or empty stadiums. We exploit this unique sequence of natural experiments, to answer two questions neglected by the still emerging literature on the effects of crowds on behaviour and decision making. First, does reinstating a supportive crowd after a long period of absence affect performances on the pitch? Second, is any reduced home advantage from competing in empty stadiums robust to repeating such an experiment? We find that eliminating crowds decreased or even reversed home advantage after an incident of extreme crowd violence in 2012, but there were no significant effects when crowds were reinstated in 2018 and once more excluded in 2020.

Effects of Hospital Digitization on Clinical Outcomes and Patient Satisfaction: Nationwide Multiple Regression Analysis Across German Hospitals.

Background: The adoption of health information technology (HIT) by health care providers is commonly believed to improve the quality of care. Policy makers in the United States and Germany follow this logic and deploy nationwide HIT adoption programs to fund hospital investments in digital technologies. However, scientific evidence for the beneficial effects of HIT on care quality at a national level remains mostly US based, is focused on electronic health records (EHRs), and rarely accounts for the quality of digitization from a hospital user perspective.

Trust and the stock market reaction to lockdown and reopening announcements: A cross-country evidence.

We conduct a country-level analysis with a sample of 44 countries to examine whether generalised social trust has an impact on the stock market reaction to government announcements of lockdown and reopening during the COVID-19 pandemic. We first conduct an event study to measure the global stock markets' reaction to government announcements of lockdown and reopening, which is measured by each stock market's cumulative abnormal return. We then employ regression analysis to investigate the relationship between generalised social trust and the stock markets' reaction to government announcements of lockdown and reopening.

Intellectual Property Rights in China-A Literature Review on the Public's Perspective.

Despite significant advances in terms of the adoption of formal Intellectual Property Rights (IPR) protection, enforcement of and compliance with IPR regulations remains a contested issue in one of the world's major contemporary economies-China. The present review seeks to offer insights into possible reasons for this discrepancy as well as possible paths of future development by reviewing prior literature on IPR in China. Specifically, it focuses on the public's perspective, which is a crucial determinant of the effectiveness of any IPR regime.

Physicians' preferences and willingness to pay for artificial intelligence-based assistance tools: a discrete choice experiment among german radiologists.

Background: Artificial Intelligence (AI)-based assistance tools have the potential to improve the quality of healthcare when adopted by providers. This work attempts to elicit preferences and willingness to pay for these tools among German radiologists. The goal was to generate insights for tool providers and policymakers regarding the development and funding of ideally designed and priced tools.

National identity predicts public health support during a global pandemic.

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g.

When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?

We present a textual analysis that explains how Elon Musk's sentiments in his Twitter content correlates with price and volatility in the Bitcoin market using the dynamic conditional correlation-generalized autoregressive conditional heteroscedasticity model, allowing less sensitive to window size than traditional models. After examining 10,850 tweets containing 157,378 words posted from December 2017 to May 2021 and rigorously controlling other determinants, we found that the tone of the world's wealthiest person can drive the Bitcoin market, having a Granger causal relation with returns. In addition, Musk is likely to use positive words in his tweets, and reversal effects exist in the relationship between Bitcoin prices and the optimism presented by Tesla's CEO.

Preventing crash in stock market: The role of economic policy uncertainty during COVID-19.

This paper investigates the impact of economic policy uncertainty (EPU) on the crash risk of US stock market during the COVID-19 pandemic. To this end, we use the GARCH-S (GARCH with skewness) model to estimate daily skewness as a proxy for the stock market crash risk. The empirical results show the significantly negative correlation between EPU and stock market crash risk, indicating the aggravation of EPU increase the crash risk.

What Drives Bitcoin? An Approach from Continuous Local Transfer Entropy and Deep Learning Classification Models.

Bitcoin has attracted attention from different market participants due to unpredictable price patterns. Sometimes, the price has exhibited big jumps. Bitcoin prices have also had extreme, unexpected crashes.

Between- and within-person consequences of daily entrepreneurial stressors on discrete emotions in entrepreneurs: The moderating role of personality.

This study builds and tests a model that explains entrepreneurs' emotional responses to events in their work lives while specifying the role of entrepreneurs' personality in moderating such responses. Drawing on the cognitive appraisal theory, we hypothesise that daily entrepreneurial stressors (workload and financial) exert negative influences on two discrete emotions (fear and pride) and that entrepreneurs' neuroticism and dispositional optimism can moderate the proposed relationships. We examined daily diary data of 61 entrepreneurs over a two-week period and found multilevel evidence of individual differences in entrepreneurs' emotional responses to these stressors at both the between- and within-person levels of analysis.

The impact of COVID-19 on the stock market crash risk in China.

This study investigates the impact of the COVID-19 pandemic on the stock market crash risk in China. For this purpose, we first estimated the conditional skewness of the return distribution from a GARCH with skewness (GARCH-S) model as the proxy for the equity market crash risk of the Shanghai Stock Exchange. We then constructed a fear index for COVID-19 using data from the Baidu Index.

Call (and pay) the midwife: A discrete choice experiment on mothers' preferences and their willingness to pay for midwifery care.

Background: Mothers in Germany are entitled to midwifery care; however, they face a lack of skilled professionals. While the reliability of the access to midwifery is of great public interest, we know little about clients' preferences.

Objectives: We conduct a discrete choice experiment to study preferences and willingness to accept copayment for the entire scope of midwifery care (pregnancy, delivery, and postnatal).

Feverish sentiment and global equity markets during the COVID-19 pandemic.

This paper proposes a new approach to estimating investor sentiments and their implications for the global financial markets. Contextualising the COVID-19 pandemic, we draw on the six behavioural indicators (media coverage, fake news, panic, sentiment, media hype and infodemic) of the 17 largest economies and data from January 2020 to February 2021. Our key findings, obtained using a time-varying parameter-vector auto-regression (TVP-VAR) model, indicate the total and net connectedness for the new index, entitled 'feverish sentiment'.

Reactions of euro area government yields to Covid-19 related policy measure announcements by the European Commission and the European Central Bank.

This paper evaluates the impact of announcements of Covid-19 related monetary and fiscal policy measures by the European Central Bank and the European Commission. Applying an event study, we find that the announcements predominantly affect the government bond yields of more solvent countries such as Germany and the Netherlands. Since this finding mainly holds for the announcements of fiscal measures, we conclude that the investors are primarily concerned about the future fiscal burden that has to be shouldered by those solvent countries within the euro area.