bluuebunny/crossref_metadata_2025_split huggingface dataset:
Moral repair versus punishment: influences on managerial responses
Authors: Butterfield Kenneth , Neale Nathan Robert , Shin Eunjeong , He Mengjiao (Rebecca) 
Published: August 2023

Purpose
The current management literature suggests that when employees engage in wrongdoing, managers typically respond with punishment. The emerging moral repair literature suggests an alternative to punishment: a reparative response that focuses on repairing harm and restoring damaged relationships. However, little is currently known about restorative managerial responses, including why managers respond to employee wrongdoing in a reparative versus punitive manner. The purpose of this paper is to examine a variety of cognitive and emotional influences on this managerial decision.

Design/methodology/approach
This study used a scenario-based survey methodology. The authors gathered data from 894 managers in sales and financial services contexts to test a set of hypotheses regarding individual-level influences on managers’ punitive versus restorative responses.

Findings
This study found that managers’ restorative justice orientation, retributive justice orientation, social considerations (e.g. when employees are relatively interdependent versus independent), instrumental considerations (e.g. when the offender is highly valuable to the organization) and feelings of anger influenced their reparative versus punitive responses.

Research limitations/implications
Data are cross-sectional, so causality inferences should be approached with caution. Another potential limitation is common method bias due to single-source and single-wave data.

Practical implications
The findings of this study show that managers often opt for a restorative response to workplace transgressions, and this study surfaces a variety of reasons why managers choose a restorative response instead of a punitive response.

Social implications
This study focuses on social order and expectations within the workplace. This is important to victims, offenders, observers, managers and other stakeholders. This study seeks to emphasize the importance of social factors, a shared social identity, social bonds and other relationships within this manuscript. This is an important component of organizational-focused restorative justice research.

Originality/value
This is the first study, to the best of the authors’ knowledge, to explicitly test individual-level influences on managers’ reparative versus punitive responses to employee wrongdoing.
“I’m not just a mother”: a content analysis of elite female athletes’ self-presentation before and after motherhood
Authors: Johnson Andriana , Brison Natasha T. , Harris Hailey A. , Brown Katie M. 
Published: August 2023

PurposeGuided by self-presentation theory and social role theory, this study examines the different strategies elite female athletes used in personal branding on social media before and after becoming mothers. Scholars have investigated the authenticity of female athletes’ frontstage versus backstage representation on social media for branding purposes, but this study further expands on existing literature to review how female athletes would present themselves in the same realm once entering motherhood.Design/methodology/approachThrough a content analysis, researchers evaluated whether there was a shift in three elite female athletes’ (Serena Williams, Allyson Felix and Skylar Diggins Smith) Instagram posts and captions one year before their pregnancy and one year after motherhood. A total of 732 posts were examined and were organized into six main categories: athletic, professional, promotional, personal, motherhood and dual identity.FindingsResults revealed there was a difference in the self-presentation strategies used by the three female athletes on their social media pages. Specifically, the researchers confirmed the presence of a combined role of athlete and mother.Originality/valueThe findings support existing literature on the importance and the challenges of “balancing” a third identity of blending being both a mother and elite athlete as one. Yet, the findings challenge the previous notion that women cannot continue to perform at an elite level and manage the expectations that society institutes of being a “good mother.”
Artificial intelligence integration in personalised learning for employee growth: a game-changing strategy
Authors: Rukadikar Aaradhana , Khandelwal Komal 
Published: August 2023

Purpose
This viewpoint paper aims to explore the adoption of artificial intelligence (AI) in personalized learning for employees and its potential, challenges and ethical consideration to transform the landscape of employee’s performance improvement.

Design/methodology/approach
A review of relevant research papers, articles and case studies is done to highlight developments in research and practice.

Findings
Personalised learning powered by AI will transform employee education and training as AI evolves, helping individuals and organisations succeed in an ever-changing, knowledge-driven world. Concerns like data privacy, algorithmic bias and human engagement must be addressed to achieve ethical and fair implementation.

Originality/value
This paper discusses the overall influence of AI adoption on personalised learning for employees. It examines how AI technologies have the ability to disrupt traditional learning methodologies, modify organisational learning cultures and encourage an environment that fosters ongoing learning and innovation.
Ergodic sampling: Acquisition design to maximize information from limited samples
Authors: Zhang Mengli , Li Yaoguo 
Published: August 2023

AbstractData acquisition using equal spacing has been a standard practice in geophysics. The dense uniform sampling derived from Nyquist–Shannon sampling includes redundant samples, and it is sufficient but not necessary to adequately record target signals. We propose an ergodic sampling, which avoids the redundant samples in the dense uniform sampling and possesses the ability to capture the sufficiently similar information content as does Nyquist sampling. Ergodicity means that a key part of the system can represent the average performance of the entire system. Our ergodic samples are a critical subset of dense uniform samples and can represent the full uniform Nyquist samples. To find such a critical subset, we first examine the properties of different sampling patterns, including the sampling interval distribution, sampling angle distribution, areal sample density, and resolution in the spectral domain. We define the information sampling ability of sampling patterns based on these properties. The concept of information sampling ability that we have proposed serves as the criterion to compare different sampling patterns and assess their sampling performances. The sampling patterns with the same information sampling ability have the same capability to gather information, even though the appearance of sampling patterns may be different. We formulate an optimization problem to find this critical subset of sample locations, which has the fewest number of samples but has a similar information sampling ability as that of the desired dense uniform samples. This critical subset is irregularly located, has the optimized properties and forms the ergodic sampling pattern. We define this process of sampling design and associated understanding as the ergodic sampling. Ergodic sampling can be applied to gain two major benefits in practice. First, this approach can save a significant number of samples. We demonstrate ergodic sampling using one‐dimensional synthetic data and a two‐dimensional field geophysical dataset. The simulations confirm that, compared with other sampling strategies, ergodic sampling can use fewer samples to acquire the same amount of information, so that we can save cost. Alternatively, with the same budget, we can use the same number of samples through ergodic sampling to acquire more information. The new ergodic sampling can lead to a new generation of economic and efficient geophysical data acquisition, which could assist in increasing the discovery rate in resource exploration, tackling more earth science problems with a limited budget and can also benefit the environment in the process by reducing the invasiveness in potentially sensitive regions.
Aphid biological control in arable crops via flower strips: The predominant role of food resources over diversity effects
Authors: Gardarin Antoine 
Published: August 2023

Abstract

Plant taxonomic and functional diversity promotes interactions at higher trophic levels, but the contribution of functional diversity effects to multitrophic interactions and ecosystem functioning remains unclear. In agroecosystems, flower strips can be sown to promote biodiversity and associated services, but their plant composition is poorly considered from a functional diversity perspective so as to promote multitrophic interactions.

In a field experiment, aphid biological control was compared across contrasting flower strip mixtures, over a 4‐year arable crop rotation. The effects of plants providing food resources, that is nectar and legumes supporting alternative hosts and prey, and the effects of plant species richness and functional dispersion were investigated on the biological control of aphid populations.

In general, increases in the percentage of plant cover providing nectar and alternative prey (Fabaceae) to natural enemies increased predator–prey ratios and aphid parasitism and decreased aphid population growth rates. These effects however depended on the crop species.

Species richness and the functional dispersion of traits involved in plant–arthropod interactions were of lesser importance, and the directions of their effects were crop‐specific.

Synthesis and applications. These findings provide useful insight for designing perennial plant mixtures for creating or restoring habitats supporting aphid regulation. It is not adequate to sow any mixture containing simply flowering plants. Plant mixtures should comprise a large proportion of plant species supporting alternative prey, like legumes, and species producing nectar being easily accessible to natural enemies (corollas with nondeep nectar). To be efficient over a crop rotation, with aphids being present at different seasons, these nectar resources should be provided throughout the year thanks to a diversity of plant flowering periods.
Measurement of radiologist reporting times: Assessment of precision, comparison of three different measurement techniques and review of potential applications
Authors: Cowan Ian A , Floyd Richard A 
Published: August 2023

AbstractIntroductionRadiologist reporting times are a key component of radiology department workload assessment, but reliable measurement remains challenging. Currently, there are three contenders for this task: median reporting times (MRTs), extracted directly from a department's radiology information system (RIS); study‐ascribed times (SATs), using published tables of individual descriptors derived from a combination of measurement and consensus; and radiology reporting figures (RRFs), using published tables of measured times based on modality and numbers of anatomical areas.MethodsWe review these techniques, their possible uses and some potential pitfalls. We discuss the level of precision that can realistically be attained in measuring reporting times, and list the strengths and weaknesses of each technique, comparing them in relation to each of eight potential applications.ResultsWe believe that SATs are challenging for practical use due to their static nature, absent common descriptors and large number. RRFs are more user‐friendly but are also static and require ongoing updates; currently, they do not include ultrasound. MRTs cannot currently be extracted from every RIS, but where available they are easy to use and their dynamic nature provides the most objective data. They underestimate the unmeasurable components of a radiologist's work and therefore the total time spent in a reporting session.ConclusionMRTs are superior to the other methods in flexibility, precision and ease of use. All institutions should have access to this data and we call on vendors of Radiology Information Systems which are currently not capable of providing it to make the necessary modifications.
RFIDeep: Unfolding the potential of deep learning for radio‐frequency identification
Authors: Bardon Gaël , Cristofari Robin , Winterl Alexander , Barracho Téo , Benoiste Marine , Ceresa Claire , Chatelain Nicolas , Courtecuisse Julien , Fernandes Flávia A. N. , Gauthier‐Clerc Michel , Gendner Jean‐Paul , Handrich Yves , Houstin Aymeric , Krellenstein Adélie , Lecomte Nicolas , Salmon Charles‐Edouard , Trucchi Emiliano , Vallas Benoit , Wong Emily M. , Zitterbart Daniel P. , Le Bohec Céline 
Published: August 2023

Abstract

Automatic monitoring of wildlife is becoming a critical tool in the field of ecology. In particular, Radio‐Frequency IDentification (RFID) is now a widespread technology to assess the phenology, breeding and survival of many species. While RFID produces massive datasets, no established fast and accurate methods are yet available for this type of data processing. Deep learning approaches have been used to overcome similar problems in other scientific fields and hence might hold the potential to overcome these analytical challenges and unlock the full potential of RFID studies.

We present a deep learning workflow, coined “RFIDeep”, to derive ecological features, such as breeding status and outcome, from RFID mark‐recapture data. To demonstrate the performance of RFIDeep with complex datasets, we used a long‐term automatic monitoring of a long‐lived seabird that breeds in densely packed colonies, hence with many daily entries and exits.

To determine individual breeding status and phenology and for each breeding season, we first developed a one‐dimensional convolution neural network (1D‐CNN) architecture. Second, to account for variance in breeding phenology and technical limitations of field data acquisition, we built a new data augmentation step mimicking a shift in breeding dates and missing RFID detections, a common issue with RFIDs. Third, to identify the segments of the breeding activity used during classification, we also included a visualisation tool, which allows users to understand what is usually considered a “black box” step of deep learning. With these three steps, we achieved a high accuracy for all breeding parameters: breeding status accuracy = 96.3%; phenological accuracy = 86.9%; and breeding success accuracy = 97.3%.

RFIDeep has unfolded the potential of artificial intelligence for tracking changes in animal populations, multiplying the benefit of automated mark‐recapture monitoring of undisturbed wildlife populations. RFIDeep is an open source code to facilitate the use, adaptation, or enhancement of RFID data in a wide variety of species. In addition to a tremendous time saving for analysing these large datasets, our study shows the capacities of CNN models to autonomously detect ecologically meaningful patterns in data through visualisation techniques, which are seldom used in ecology.
Does the National Bariatric Prioritization Tool predict health outcomes?
Authors: Chung Lisa , Srikumar Gajan , Coomarasamy Christin , MacCormick Andrew D. 
Published: August 2023

AbstractBackgroundThe National Bariatric Prioritization Tool (NBPT), developed in Aotearoa New Zealand (AoNZ), has not been validated using real patient data. The aim was to determine the predictive validity of the NBPT on health outcomes.MethodsAn observational study was undertaken of consecutive patients undergoing elective bariatric surgery at Middlemore Hospital using the NBPT from December 2014 to December 2016. The primary outcome was the correlation between prioritization score and percentage total weight loss (%TWL) at 18 months follow‐up, with secondary outcomes being correlation with change in HbA1c, lipids, resolution of OSA, resolution of hypertension, and reduction in arthritis medications. Equity of access was measured by the relationship to age group, gender and ethnicity.ResultsThere were 294 patients included. There was no correlation between %TWL and prioritization score (correlation −0.09, P = 0.14). The benefit score correlated with %TWL (correlation 0.25, P < 0.0001). There were correlations between prioritization score and HbA1c reduction (correlation 0.28, P < 0.0001), resolution of OSA (correlation 0.20, P < 0.001) and resolution of hypertension (correlation 0.20, P < 0.001). There was a significant difference in prioritization score based on ethnicity, with Māori and Pasifika scoring higher than New Zealand European (P = 0.0023).ConclusionsWhile the NBPT does not correlate with %TWL, it may have predictive validity through correlations with improvement of comorbidities such as diabetes, OSA and hypertension. Given higher rates of obesity and comorbidities in Māori and Pasifika, the higher scores may suggest the tool may be used to achieve equity of access. Further modifications should be considered to optimize outcomes.
Safety profile of paediatric COVID‐19 vaccines: An analysis of the US Vaccine Adverse Event Reporting System
Authors: Nikitina Victoria , Santi Laurini Greta , Montanaro Nicola , Motola Domenico 
Published: August 2023

AbstractAimTo provide further evidence on the safety profile of COVID‐19 vaccines in paediatrics by analysing the spontaneous reports of adverse effects related to these vaccines.MethodsReports related to US paediatric population (from 0 to 17 years) vaccinated with authorised COVID‐19 vaccines were extracted from Vaccine Adverse Event Reporting System from December 2020 to 17 November 2022. We conducted a descriptive analysis of Adverse Events Following Immunization (AEFI), calculating reporting rate of serious AEFIs and focusing on myocarditis and Guillain‐Barré Syndrome after mRNA COVID‐19 vaccines.ResultsOverall, 52 720 reports were retrieved: 77% (40541)‐Pfizer‐BioNTech, 19% (10083)‐Moderna, a small proportion for other vaccines 4% (2096). Most of AEFIs were non‐serious and listed in corresponding SPCs. Of serious AEFIs, 96% were related to the Pfizer‐BioNTech vaccine. Roughly 91% (47874) were related to people from 6 to 17 years, a small percentage of 9% (4773) to the younger group (0–5 years). In both groups, most of the reports were related to mRNA vaccines and the percentage of AEFIs experienced by females were similar to males.ConclusionsData showed that events most frequently reported were non‐serious and listed in the corresponding SPCs, extending the evidence of safety of COVID‐19 vaccines authorised in the United States in children.
Comparing survival rates for clusters of depressive symptoms found by Network analysis' community detection algorithms: Results from a prospective population‐based study among 9774 cancer survivors from the PROFILES‐registry
Authors: Hinnen C. , Hochstenbach S. , Mols F. , Mertens B. J. A. 
Published: August 2023

AbstractObjectivesPrevious studies have shown that depression is associated with mortality in patients with cancer. Depression is however a heterogeneous construct and it may be more helpful to look at different (clusters) of depressive symptoms than to look at depression as a discrete condition. The aim of the present study is to investigate whether clusters of depressive symptoms can be identified using advanced statistics and to investigate how these symptom clusters are associated with all‐cause mortality in a large group of patients with cancer.MethodData from a large population‐based cohort study (PROFILES) including various cancer types were used. Eligible patients completed self‐report questionnaires (i.e. Fatigue assessment scale, Hospital anxiety and depression scale, EORTC QOL‐C30) after diagnosis. Survival status was determined on 31 January 2022.ResultsIn total, 9744 patients were included. Network analyses combining different community detection algorithms showed that clusters of depressive symptoms could be detected that correspond with motivational anhedonia, consummatory anhedonia and negative affect. Survival analyses using the variables that represented these clusters best showed that motivational and consummatory anhedonia were associated with survival. Even after controlling for clinical and sociodemographic variables items assessing motivational anhedonia were significantly associated with mortality over time.ConclusionSeparate clusters of symptoms that correspond with motivational and consummatory anhedonia and negative affect can be distinguished and anhedonia may be associated with mortality more than negative affect. Looking at particular (clusters of) depressive symptoms may be more informative and clinically relevant than using depression as a single construct (i.e. syndrome).
Recolonizing native wildlife facilitates exotic plant invasion into Singapore's rain forests
Authors: Ho Chervil , Dehaudt Bastien , Lee Benjamin P. Y. H. , Tan Hui Ying Renee , Luskin Matthew Scott 
Published: August 2023

AbstractHalting biological invasions and rewilding extirpated native fauna are conservation interventions to bolster biodiversity, species interactions, and ecosystems. These actions are often considered separately and the potential for reintroduced wildlife to facilitate invasive plants has been largely overlooked. Here, we investigated the role of Singapore's recolonizing native wild pigs (Sus scrofa) in facilitating an invasive weed Miconia crenata into tropical rainforests, which are normally highly resistant to invasion. We conducted line‐transect surveys in 11 Singaporean rain forests and used generalized linear mixed models to consider the contribution of pigs' soil disturbances, human forest paths, and other environmental covariates, on the density of M. crenata. We found that M. crenata was more abundant at forest edges and invasion into forest interior was facilitated by pigs, paths, and canopy gaps, but that these effects were all additive, not synergistic (i.e., not multiplicative). These results highlight how modern invasions are driven by multiple disturbances as well as propagule pressure (e.g., urban birds dispersing seeds at forest edges where they establish in pig soil disturbances). Singapore's extensive native forest restoration efforts may have provided plentiful edge and secondary forests that are well suited to pigs and M. crenata, which in turn undermine the aims of fostering later‐successional native plant communities. To prevent negative externalities, we suggest that plant restoration and rewilding projects consider the potential role of wildlife in facilitating non‐native plants, and couple these actions with preliminary screening of unintended consequences and continued monitoring, as well as limiting human‐mediated weed invasion to minimize propagule sources.