bluuebunny/crossref_metadata_2025_split huggingface dataset:
How is the ECB’s quantitative easing transmitted to the financial markets?
Authors: Aloui Donia , Ben Maatoug Abderrazek 
Published: March 2024

Purpose
Over the last few years, the European Central Bank (ECB) has adopted unconventional monetary policies. These measures aim to boost economic growth and increase inflation through the bond market. The purpose of this paper is to study the impact of the ECB’s quantitative easing (QE) on the investor’s behavior in the stock market.

Design/methodology/approach
First, the authors theoretically identify the transmission channels of the QE shocks to the stock market. Then, the authors empirically assess the financial market’s responses to QE shocks in a data-rich environment using a factor augmented VAR (FAVAR).

Findings
The results show that the ECB’s unconventional monetary policy positively affects the stock market. A QE shock leads to an increase in stock prices and a drop in the realized volatility and the implied risk premium. The authors also suggest that the ECB’s QE is transmitted to the stock market through five main channels: the liquidity, the expectation, the portfolio reallocation, the interest rates and the risk premium channels.

Practical implications
The findings help to better understand the behavior of stock market assets in a data-rich economic context and guide investors and policymakers in the presence of unconventional monetary tools. For instance, decision-makers and investors should consider the short-term effect of the QE interventions and the changing behavior of the financial actors over time. In addition, high stock market returns can increase risk appetite. This can lead investors to underestimate the market risk. Decision-makers and market participants should take into consideration the impact of the large injection of money through the QE, which may raise the risk of a speculative bubble in the financial market.

Originality/value
To the best of the authors’ knowledge, this is the first study that incorporates a theoretical and empirical analysis to explore QE transmission to the stock market in the European context. Unlike previous studies, the authors use the shadow rate proposed by Wu and Xia (2017) to quantify the effect of the ECB’s QE in a data-rich environment. The authors also include two key risk indicators – the stock market risk premium and the realized volatility – to capture investors’ behavior in the stock market following QE shocks.
Older adults' e-government use for bureaucratic and transactional purposes: the role of website-related perceptions and subjective digital skills
Authors: Rosenberg Dennis 
Published: March 2024

Purpose
This paper aims to establish the link between the attitudes older adults hold toward governmental websites, their subjective online public service use skills and their e-government use for bureaucratic (e.g. document downloading or filling them out online) and transactional (e.g. payment) purposes.

Design/methodology/approach
Data were obtained from the 2020 Israel Social Survey and analyzed using binary logistic regression models. The sample included internet users aged 60 years and older (N = 735).

Findings
Subjective use skills were positively associated with each studied type of e-government use. Perception of security in providing personal information on governmental websites was also positively associated with both types of use. Perceived clarity and simplicity of governmental websites was (positively) related to transactional e-government use only.

Research limitations/implications
The results suggest that the types of e-government use in older adulthood are not contingent upon exactly the same factors. Moreover, attitudes toward e-government seem to be more relevant for transactional rather than bureaucratic e-government use in this lifespan period.

Originality/value
The study examines factors related to government website uses of various types in later life – a rarely studied topic in e-government research.
Training for gig workers: a systematic review and research agenda
Authors: Zhang Panpan 
Published: March 2024

Purpose
This study aims to synthesize existing findings in the gig worker training literature and identify the training rationales adopted by these studies, using a synthesized framework of organizational training rationales. This study seeks to delineate the rationales behind gig worker training and highlight unaddressed training needs within digital platforms, ultimately proposing a research agenda for future studies in this area.

Design/methodology/approach
A systematic review methodology is adopted to synthesize and analyze empirical, peer-reviewed studies on gig worker training.

Findings
The systematic review reveals that competency and economic rationales are predominantly adopted in gig worker training studies, with the relationship rationale, common in traditional training, notably absent. This study also outlines seven future research directions to highlight identified challenges and unaddressed training needs.

Originality/value
To the best of the author’s knowledge, this study is the first work that systematically reviews existing findings on gig worker training.
Near offset reconstruction for marine seismic data using a convolutional neural network
Authors: Huff Owen Rohwer , Thorkildsen Vemund Stenbekk , Greiner Thomas Larsen , Lie Jan Erik , Evensen Andreas Kjelsrud , Bugge Aina Juell , Faleide Jan Inge 
Published: March 2024

AbstractMarine seismic data is often missing near offset information due to separation between the source and receiver cables. To solve this problem, a convolutional neural network is trained on synthetic seismic data to reconstruct the near offset gap. The synthetic data is created using a two‐dimensional finite difference method within a heterogeneous velocity model. These synthetics are generated with a source‐over‐receiver acquisition geometry so that they contain complete near offset data. The convolutional neural network is then trained on input‐target synthetic pairs where the inputs are common midpoint gathers with the near offset section removed, and the targets are the same gathers with the near offset section retained. Following training, the robustness of the method is investigated with regards to common midpoint data sorting, normal moveout correction and changes in the velocity model. It is found that training on common midpoint‐sorted data results in 2.8 times lower error than training on shot gathers, that normal moveout correction of the training data makes no significant difference in error levels, and that the model can reconstruct realistic near offsets on synthetic data generated 10 km away within the heterogeneous velocity model. In field data testing, first a dataset with source‐over‐cable acquisition geometry from the Barents Sea is used to compare the reconstructed wavefields to ground truth values. Although the reconstructed amplitudes require minor scaling to match the true values, predictions on this dataset yield 2.5 times lower near offset reconstruction error compared to a simple Radon transform interpolation method. Furthermore, amplitude versus offset gradient and intercept sections from the Barents Sea dataset are estimated with half the error when including the convolutional neural network‐predicted near offset data, compared to only using the conventionally‐acquirable portion of the data (beyond 112.5 m of offset). In a secondary field data test, a conventional northern North Sea dataset is used to demonstrate how the method may be applied in practice. Here, the convolutional neural network generates more realistic predictions than the Radon method, and the gradient and intercept sections calculated using the convolutional neural network‐predicted traces have higher signal‐to‐noise ratios than the sections calculated using only the original data. The combination of high‐quality synthetic training data and interpolation in the common midpoint domain enables near offset reconstruction at significant depth (1 s of two‐way traveltime or more), which is demonstrated in both synthetic and field examples.
Life history costs drive the evolution of mycoheterotrophs: Increased sprouting and flowering in a strongly mycoheterotrophic Pyrola species
Authors: Shefferson Richard P. , Shutoh Kohtaroh , Suetsugu Kenji 
Published: March 2024

Abstract

Land plants are typically photosynthetic, but some species have lost the ability to photosynthesize, instead relying on mycorrhizal fungi to obtain carbon. Increasing levels of partial mycoheterotrophy, in which seemingly autotrophic plants receive fungal carbon from their fungal partners, and reduced sprouting in concert with greater reproduction when sprouting, may be intermediate steps in the evolution of this trait.

We studied the microevolutionary demography of Pyrola japonica and the closely related species P. subaphylla, which are currently considered sister species. While these species are both partially mycoheterotrophic, P. subaphylla is more strongly so, indicating that it may be closer to evolving full mycoheterotrophy. We tracked individuals in two nearby populations in Fukushima, Japan from 2015 to 2020. We analysed vital rates, population trends and long‐run population structure with historical function‐based matrix projection models. We assessed how shifts in P. subaphylla demography relate to fitness using a stochastic life table response experiment (SLTRE).

P. subaphylla exhibited strong costs of growth to survival and of reproduction to sprouting, size and fecundity. It sprouted more than P. japonica but to smaller stages. P. subaphylla's flowering frequency was approximately four times that of P. japonica, but after flowering it was smaller and more likely to die.

These life history costs appeared to drive differences in fitness, measured as stochastic population growth rate. Relative to P. japonica, shifts in fitness in P. subaphylla were due more to shifts in means than standard deviations of matrix elements. Shifts in growth transitions had the strongest negative impacts on fitness but also had the strongest positive impacts. Increased shifts to small non‐flowering stages were associated with increased fitness, while transitions involving dormancy were associated more strongly with drops in fitness.

Synthesis. As far as we are aware, we found the first evidence that costs of growth and reproduction drive the evolution of increased sprouting and smaller size as a species becomes more intensely mycoheterotrophic. Surprisingly, vegetative dormancy did not evolve with mycoheterotrophy. We suggest further studies assessing whether these seemingly maladaptive trends result from genetic drift, genetic linkage or another mechanism.
Host population crashes disrupt the diversity of associated marine microbiomes
Authors: Pearman William S. , Morales Sergio E. , Vaux Felix , Gemmell Neil J. , Fraser Ceridwen I. 
Published: March 2024

AbstractHost‐associated microbial communities are shaped by myriad factors ranging from host conditions, environmental conditions and other microbes. Disentangling the ecological impact of each of these factors can be particularly difficult as many variables are correlated. Here, we leveraged earthquake‐induced changes in host population structure to assess the influence of population crashes on marine microbial ecosystems. A large (7.8 magnitude) earthquake in New Zealand in 2016 led to widespread coastal uplift of up to ~6 m, sufficient to locally extirpate some intertidal southern bull kelp populations. These uplifted populations are slowly recovering, but remain at much lower densities than at nearby, less‐uplifted sites. By comparing the microbial communities of the hosts from disturbed and relatively undisturbed populations using 16S rRNA gene amplicon sequencing, we observed that disturbed host populations supported higher functional, taxonomic and phylogenetic microbial beta diversity than non‐disturbed host populations. Our findings shed light on microbiome ecological assembly processes, particularly highlighting that large‐scale disturbances that affect host populations can dramatically influence microbiome structure. We suggest that disturbance‐induced changes in host density limit the dispersal opportunities of microbes, with host community connectivity declining with the density of host populations.
A Leadership of Refusal: Remaking the Narrative of the Falling Leader
Authors: Bell Emma , Sinclair Amanda , Vachhani Sheena J. 
Published: March 2024

AbstractThe metaphor of the glass cliff is used to describe patterns whereby women are more likely to be selected for challenging leadership positions that have a higher risk of failure. This paper explores how the glass cliff metaphor contributes to a narrative of woman's fall that individualizes a leader's responsibility to avoid risks that may lead to failure. As an alternative, we introduce the leadership of refusal as a feminist resource for remaking the narrative of woman's fall. Refusal is understood as an embodied political and ethical stance that declines to recognize, rather than resists or simply opposes, masculine leadership norms. Through analysis of how three women leaders were represented by the media, former Australian Prime Minister, Julia Gillard, former Australian of the Year, Grace Tame, and climate change activist, Greta Thunberg, we analyse key moments of refusal where these leaders breached the masculine order through their embodied performances. We argue that leadership of refusal enables an understanding of how women leaders exercise power in agentic, non‐sacrificial ways. We therefore urge leadership researchers to position refusal centrally, because first saying no in order to take risks towards achieving transformative action is, we suggest, a defining feature of leadership.
Epiphenomenal suasion: Jehovah's Witnesses and the politics of preaching against the state
Authors: Cardoza Danny 
Published: March 2024

AbstractThe individual is the conventional way religious change is figured when considering ‘conversion’. This essay argues this is rooted in the soteriological focus of Christian evangelism and shifts what are typically taken to be the objects of change to view them as agents of change. As an example of this, the essay compares two ethnographic examples of Jehovah's Witnesses’ evangelism: the ways that Witnesses preach with mobile literature carts; and the way three Witnesses ‘preached’ at an academic conference in Bishkek, Kyrgyzstan. In order to make sense of these examples, it is necessary to unpack the theopolitical context underlying the common suasive strategy, and doing so is revealing in both instances of different objects and agents of evangelism, allowing for a comparison that explores how causality and agency are distributed in Witness preaching work. This leads to a consideration of the ways Witnesses’ public evangelism subtly preaches against the state as a process of ‘vindicating the name of God’.
Incremental net monetary benefit of using varenicline for smoking cessation: A systematic review and meta‐analysis of economic evaluation studies
Authors: Chaisai Chayutthaphong , Patikorn Chanthawat , Thavorn Kednapa , Lee Shaun Wen Huey , Chaiyakunapruk Nathorn , Veettil Sajesh K. 
Published: March 2024

AbstractAimsTo conduct a systematic review and meta‐analysis and pool the incremental net benefits (INBs) of varenicline compared with behaviour support with bupropion or nicotine replacement therapy (NRT), behaviour support alone and unaided cessation in adult smokers making a first‐time attempt to quit.MethodsA search for economic evaluation studies was conducted from inception to 30 September 2022, on PubMed, Embase, Cost‐Effectiveness Analysis (CEA) Registry by Tufts Medical Centre, EconLit and the NHS Economic Evaluation Database (NHS EED). Eligible studies were included if they were (1) conducted among adults ages 18 years old and older who were smokers attempting to quit for the first time; (2) compared varenicline to behaviour support with bupropion or NRT, behaviour support alone and unaided cessation; and (3) performed a CEA or cost‐utility analysis. The INBs were calculated and pooled across studies stratified by country income level and study perspective using the random‐effects model. Statistical heterogeneity between studies was assessed using the I2 statistic and Cochrane Q statistic.ResultsOf the 1433 identified studies, 18 studies were included in our review. Our findings from healthcare system/payer perspective suggested that the use of varenicline is statistically significantly cost‐effective compared with bupropion (pooled INB, $830.75 [95% confidence interval, $208.23, $1453.28]), NRTs ($636.16 [$192.48, $1079.84]) and unaided cessation ($4212.35 [$1755.79, $6668.92]) in high‐income countries. Similarly, varenicline is also found to be cost‐effective compared to bupropion ($2706.27 [$1284.44, $4128.11]), NRTs ($3310.01 [$1781.53, $4838.50]) and behavioural support alone ($5438.22 [$4105.99, $6770.46]) in low‐ and middle‐income countries.ConclusionVarenicline is cost‐effective as a smoking cessation aid when compared with behavioural support with bupropion or nicotine replacement therapies and behavioural support alone in both high‐income countries and low‐ and middle‐income countries, from the healthcare system/payer perspective in adult smokers who attempt to quit for the first time.
Target trial emulation for comparative effectiveness research with observational data: Promise and challenges for studying medications for opioid use disorder
Authors: Christine Paul J. , Lodi Sara , Hsu Heather E. , Bovell‐Ammon Benjamin , Yan Shapei , Bernson Dana , Novo Patricia , Lee Joshua D. , Rotrosen John , Liebschutz Jane , Walley Alexander Y. , Larochelle Marc R. 
Published: March 2024

AbstractMedications for opioid use disorder (MOUD) increase retention in care and decrease mortality during active treatment; however, information about the comparative effectiveness of different forms of MOUD is sparse. Observational comparative effectiveness studies are subject to many types of bias; a robust framework to minimize bias would improve the quality of comparative effectiveness evidence. This paper discusses the use of target trial emulation as a framework to conduct comparative effectiveness studies of MOUD with administrative data. Using examples from our planned research project comparing buprenorphine‐naloxone and extended‐release naltrexone with respect to the rates of MOUD discontinuation, we provide a primer on the challenges and approaches to employing target trial emulation in the study of MOUD.
Exploring patient reported quality of life in lung cancer patients: A qualitative study of patient‐reported outcome measures
Authors: Jensen‐Marini Elena , Ayton Darshini , Zalcberg John , Stirling Robert G. 
Published: March 2024

AbstractObjectiveLung cancer is the leading cause of cancer‐related death globally and provides a major disease burden likely to substantially impact quality of life (QoL). Patient‐reported outcome measures (PROMs) have been identified as effective methods of evaluating patient QoL. Existing lung cancer–specific PROMs however have uncertain utility and minimal patient involvement in their design and development. This qualitative study aimed to evaluate the patient perspective of existing PROMs and to explore their appropriateness for population‐based descriptions of lung cancer–related QoL.MethodsA descriptive qualitative study was conducted consisting of semi‐structured interviews with 14 patients recruited from the Victorian Lung Cancer Registry and Alfred Hospital using purposive sampling. Interviews first explored the factors most important to lung cancer patients QoL, and second, patient's perspectives on the appropriateness of existing PROMs. Thematic analysis was used to develop themes, and content analysis was conducted to determine PROM acceptability.ResultsFive novel themes were identified by patients as being important impacts on QoL: Personal attitude toward the disease is important for coping; independence is valued; relationships with family and friends are important; relationships with treating team are meaningful; personal and public awareness of lung cancer is limited. These patient‐identified impacts are poorly covered in existing lung cancer–specific PROMs. Patients welcomed and appreciated the opportunity to complete PROMs; however, they identified problems with existing PROMs relevance, tone, and formatting.ConclusionExisting lung cancer PROMs poorly reflect the five themes identified in this study as most important to lung cancer patients QoL. This study reaffirms the need to review existing PROMs to ensure utility and construct validity. Future PROM development must engage key patient‐generated themes and evolve to reflect the changing management and therapeutic landscape.
How partisanship in cities influences housing policy
Authors: de Benedictis‐Kessner Justin , Jones Daniel , Warshaw Christopher 
Published: March 2024

AbstractHousing policy is one of the most important areas of local politics. Yet little is known about how local legislatures and executives make housing policy decisions and how their elections shape policy in this important realm. We leverage housing policy data and a new data source of 15,621 city council elections and 3,261 mayoral elections in large cities in the United States and a regression discontinuity design to examine partisan divides in housing policy among the mass public as well as the impact of local leaders’ partisanship on housing policy. We provide robust evidence that electing mayors from different political parties shapes cities’ housing stock. Electing a Democrat as mayor leads to increased multifamily housing production. These effects are concentrated in cities where councils have less power over land use changes. Overall, our article shows that politics influences local housing policy, and it contributes to a larger literature on local political economy.
Differences in prescribing errors between electronic prescribing and traditional prescribing among medical students: A randomized pilot study
Authors: El Abdouni Samir , Kalfsvel Laura S. , Rietdijk Wim J. R. , Van der Kuy Hugo , van Rosse Floor 
Published: March 2024

AimsThis randomized controlled pilot study aimed to assess the differences in the frequency, type and severity of prescribing errors made by medical students when assessed in an electronic (e‐)prescribing system compared to a traditional prescribing method (e.g., typing out a prescription).MethodsFourth year medical students in the period of 1 November to 31 July 2023, were asked to participate in this single‐centre prospective, randomized, controlled intervention study. Participants performed a prescribing assessment in either an e‐prescribing system (intervention group) or in a more traditional prescribing platform (control group). The prescriptions were checked for errors, graded and categorized. Differences in prescribing errors, error categories and severity were analysed.ResultsOut of 334 students, 84 participated in the study. Nearly all participants (98.8%) made 1 or more prescribing errors, primarily involving inadequate information errors. In the intervention group, more participants made prescribing errors involving the prescribed amount (71.4 vs. 19.0%; P < .01), but fewer involving administrative errors (2.4 vs. 19.0%; P = .03). Prescribing‐method‐specific errors were identified in 4.8 and 40.5% of the intervention and control group, respectively, with significant differences in overlapping errors as well.ConclusionThis pilot study shows the importance of training e‐prescribing competencies in medical curricula, in addition to traditional prescribing methods. It identifies prescribing‐method‐specific prescribing errors and emphasizes the need for further research to define e‐prescribing competencies. Additionally, the need for an accessible real‐life‐like e‐prescribing environment tailored to educators and students is essential for effective learning and incorporation of e‐prescribing into medical curricula.