bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring HR analytics maturity: supporting the development of a roadmap for data-driven human resources management
Authors: Rigamonti Elia , Gastaldi Luca , Corso Mariano 
Published: July 2024

PurposeToday, companies are struggling to develop their human resources analytics (HRA) capability, although interest in the subject is rapidly increasing. Furthermore, the academic literature on the subject is immature with limited practical guidance or comprehensive models that could support organisations in the development of their HRA capability. To address this issue, the aim of this paper is to provide a maturity model – i.e. HRAMM – and an interdependency matrix through which an organisation can (1) operationalise its HRA capability and assess its organisational maturity; (2) generate harmonious development roadmaps to improve its HRA capability; and (3) enable benchmarking and continuous improvement.Design/methodology/approachThe research described in this paper is based on the popular methodology proposed by Becker et al. (2009) and the procedure for maturity evaluation developed by Gastaldi et al. (2018). This method combines academic rigour and field experience in analytics, in a process spanning eight main phases that involves literature reviews and knowledge creation techniques.FindingsWe define HRA maturity through four areas and 14 dimensions, providing a comprehensive model to operationalise HRA capability. Additionally, we argue that HRA maturity develops through an evolutionary path described in four discrete stages of maturity that go beyond traditional analytics sophistication. Lastly, the interdependency matrix reveals specific enablers for the development of HRA.Practical implicationsThis paper provides practitioners with useful tools to monitor, evaluate and plan their HRA development path. Additionally, our research helps practitioners to prioritise their work and investment, generating an effective roadmap for developing and improving their HRA capability.Originality/valueTo the best of the authors’ knowledge, this study is the first to provide a model for evaluating the maturity of HRA capability plus an interdependency matrix to evaluate systematically the prerequisites and synergies among its constituting dimensions.
How does managerial coaching influence knowledge sharing in the workplace? A perspective of proactive motivation model
Authors: Arshad Beenish , Hassan Hamid , Azam Akbar 
Published: July 2024

Purpose
Drawing upon the Proactive Motivation Model, this study aims to investigate the relationship between managerial coaching and employee knowledge-sharing behavior via psychological safety and learning goal orientation. This study also proposes that employee psychological safety and learning goal orientation sequentially mediate the relationship between managerial coaching and employee knowledge-sharing behavior.

Design/methodology/approach
This study used a time-lagged quantitative research design to test the proposed hypotheses. Using a self-administered questionnaire, data was gathered from 220 employees of information technology companies in Pakistan. This study used Partial Least Squares Structural Equation Modeling (PLS-SEM) two-stage approach to test the measurement and structural models.

Findings
The findings of the study support that there is an indirect relationship between managerial coaching and employees’ knowledge-sharing behaviors via psychological safety and learning goal orientation. In addition, the findings also support the sequential mediation of psychological safety and learning goal orientation in the proposed model.

Practical implications
The results of this study highlight that managers can play a vital role in fostering proactive resource-sharing behaviors of employees in knowledge-intensive organizations.

Originality/value
There is limited research on the relationship between managerial coaching and employees’ knowledge-sharing behavior. This study has analyzed this relationship using a motivational perspective. It makes important theoretical contributions by investigating the mechanisms through which managerial coaching influences employees’ knowledge-sharing behavior in organizations.
A comprehensive guide to milling techniques for smoothing the surfaces of 3D-printed thermoplastic parts
Authors: Dilberoglu Ugur Mecid , Yaman Ulas , Dolen Melik 
Published: July 2024

Purpose
This study aims to thoroughly examine the milling process applied to fused filament fabrication (FFF) parts. The primary objective is to identify the key variables in creating smooth surfaces on FFF specimens and establish trends about specific parameters.

Design/methodology/approach
In this study, PLA and ABS samples fabricated by FFF are subjected to side milling in several experiments. Achievable surface quality is studied in relation to material properties, milling parameters, tooling and macrostructure. The surface finish is quantified using profile measurements of the processed surfaces. The study classifies the created chips into categories that can be used as criteria for the anticipated quality. Spectral analysis is used to examine the various surface formation modes. Thermal monitoring is used to track chip formation and surface temperature changes during the milling process.

Findings
This study reveals that effective heat dissipation through proper chip formation is vital for maintaining high surface quality. Recommended methodology demands using a tool with a substantial flute volume, using high positive rake and clearance angles and optimizing the feed-per-tooth and cutting speed. Disregarding these guidelines may cause the surface temperature to surpass the material’s glass transition, resulting in inferior quality characterized by viscous folding. For FFF thermoplastics, optimal milling can bring the average surface roughness down to the micron level.

Originality/value
This research contributes to the field by providing valuable guidance for achieving superior results in milling FFF parts. This study includes a concise summary of the theoretically relevant insights, presents verification of the key factors by qualitative analysis and offers optimal milling parameters for 3D-printed thermoplastics based on systematic experiments.
Leveraging camera traps and artificial intelligence to explore thermoregulation behaviour
Authors: Shermeister Ben , Mor Danny , Levy Ofir 
Published: July 2024

Abstract

Behavioural thermoregulation has critical ecological and physiological consequences that profoundly influence individual fitness and species distributions, particularly in the context of climate change. However, field monitoring of this behaviour remains labour‐intensive and time‐consuming. With the rise of camera‐based surveys and artificial intelligence (AI) approaches in computer vision, we should try to build better tools for characterizing animals' behavioural thermoregulation.

In this study, we developed a deep learning framework to automate the detection and classification of thermoregulation behaviour. We used lizards, the Rough‐tail rock agama (Laudakia vulgaris), as a model animal for thermoregulation. We colour‐marked the lizards and curated a diverse dataset of images captured by trail cameras under semi‐natural conditions. Subsequently, we trained an object‐detection model to identify lizards and image classification models to determine their microclimate usage (activity in sun or shade), which may indicate thermoregulation preferences. We then evaluated the performance of each model and analysed how the classification of thermoregulating lizards performed under different solar conditions (sun or shade), times of day and marking colours.

Our framework's models achieved high scores in several performance metrics. The behavioural thermoregulation classification model performed significantly better on sun‐basking lizards, achieving the highest classification accuracy with white‐marked lizards. Moreover, the hours of activity and the microclimate choices (sun vs shade‐seeking behaviour) of lizards, generated by our framework, are closely aligned with manually annotated data.

Our study underscores the potential of AI in effectively tracking behavioural thermoregulation, offering a promising new direction for camera trap studies. This approach can potentially reduce the labour and time associated with ecological data collection and analysis and help gain a deeper understanding of species' thermal preferences and risks of climate change on species behaviour.
Density matters: How population dynamics of house mice (Mus musculus) inform the epidemiology of Leptospira
Authors: Moinet Marie , Abrahão Carlos R. , Gasparotto Vinícius P. O. , Wilkinson David A. , Vallée Emilie , Benschop Jackie , Russell James C. 
Published: July 2024

Abstract

Rodents are maintenance hosts of numerous pathogens, and both their density and the pathogen prevalence determine the risk they pose to other animals or humans. However, density is often overlooked. We investigated a capture‐mark‐recapture‐sampling strategy to study introduced mice (Mus musculus) and Leptospira as a model and demonstrate the advantages of a combined approach.

We estimated population density and Leptospira prevalence in mice in a replicated longitudinal survey conducted between 2016 and 2018. Capture‐mark‐recapture sessions were undertaken at two sites in Spring and Autumn and blood and kidney samples were collected at the end of each session. Mouse density and areas of activity were estimated using spatially explicit capture–recapture (SECR) models and both were compared between Leptospira positive and negative mice. Leptospira exposure and shedding status were estimated using Microscopic Agglutination Test, and a combination of culture and lipL32 PCR on kidneys.

Leptospira prevalence was higher in spring (83%–86%) than in autumn (31%–37%) and mouse densities simultaneously varied from 3.6 to 55.9/ha. However, despite these variations in prevalence and density, the density of infected animals remained relatively constant over time (3–8/ha). Shedding or being seropositive was also associated with the activity of mice. Shedding or seropositive mice had a larger activity area, and seropositive mice were trapped on average 1 day earlier than seronegative mice.

Synthesis and applications: Our results show how understanding the population dynamics of pathogen‐carrying rodents is critical in epidemiology. The wider movement patterns and easier encounters of positive mice highlight the possibility of biases in classical prevalence surveys and have implications for disease transmission within and between species. Importantly, and quite counter‐intuitively, Leptospira prevalence was negatively associated with mouse density, resulting in a constant density of shedders that contradicts the conventional view of higher exposure risk at high rodent density. More broadly, such sampling designs can improve animal and disease control policies and better inform modelling studies by providing more parameter estimates than classical prevalence surveys.
Harvest of transboundary grey wolves from Yellowstone National Park is largely additive
Authors: Cassidy Brenna , Smith Douglas W. , Cassidy Kira , Stahler Daniel , Hebblewhite Mark 
Published: July 2024

Abstract

Large carnivores are globally threatened due to habitat fragmentation and loss, prey depletion and human exploitation. Human exploitation includes both legal and illegal hunting and trapping. Protected areas can create refugia from hunting and trapping; however, hunting can still threaten wide‐ranging large carnivores when they leave these areas. Large carnivore reintroductions to protected areas are often motivated to restore ecological processes, including wolf reintroduction to Yellowstone National Park (YNP). Determining if harvest is compensatory or additive is essential for informed conservation strategies, as it influences the overall impact on wolf populations and their ecosystems.

If harvest was compensatory, then increasing harvest pressure outside YNP should not decrease overall survival for transboundary wolves. Alternatively, if increasing harvest was additive, then increasing harvest pressure outside YNP should decrease overall survival for transboundary wolves. We tested the effects of variable harvest pressure following delisting on the survival of YNP grey wolves (Canis lupus) from 1995 to 2022. We defined three harvest levels: no harvest, harvest with limited quotas and unlimited harvest. We used Cox‐proportional hazards models and cumulative incidence functions to estimate survival rates, factors affecting survival and cause‐specific mortality between these three harvest periods to test predictions of the additive mortality hypothesis.

Most harvested wolves that primarily lived in YNP were killed adjacent to the park border. Cox‐proportional hazards models revealed that mortality was highest during years of unlimited harvest during winter outside YNP. Cause‐specific mortality analyses showed that natural mortality from other wolves and harvest were the two leading causes of death, but that harvest mortality had additive effects on wolf mortality. Wolf survival decreased with increased harvest mortality, while natural mortality remained relatively unchanged.

Synthesis and applications. High rates of additive harvest mortality of wolves could negatively impact wolf survival in YNP. Harvest mortality of transboundary wolves is additive possibly due to source‐sink dynamics of uneven spatial susceptibility of wolves to harvest mortality across protected area borders, as well as effects of harvest on complex social dynamics of wolves in YNP. Transboundary management of large carnivores is challenging, yet cooperation between agencies is vital for wolf management in and around YNP. Our results support the use of small quota zones surrounding protected areas, that minimize transboundary mortality impacts on large carnivores living primarily inside protected areas.
The Kunming–Montreal Global Biodiversity Framework and the Paris Agreement need a joint work programme for climate, nature and people
Authors: Boran Idil , Pettorelli Nathalie 
Published: July 2024

Abstract

The global climate and biodiversity crises are closely intertwined, yet no policy instrument currently tackles both jointly. This is problematic, as the lack of international platforms for designing coordinated and coherent policy frameworks that align targets across the nexus of biodiversity and climate change poses risks to nature and people.

Here, we argue that the successful implementation of both the Paris Agreement and the Global Biodiversity Framework (GBF) requires a joint work programme between the United Nations Framework Convention on Climate Change (UNFCCC) and the Convention on Biological Diversity (CBD). Such a joint work programme could fill the current global governance vacuum and address critical implementation gaps, while fostering innovation and synergies in climate and biodiversity action.

Based on a review of existing work programmes under the UNFCCC and interagency and joint work programmes established with the CBD, we provide a concept of how this joint programme could be set up, ideas on the type of issues it should tackle and recommendations for successful implementation.

Policy implications: The UNFCCC and CBD are unique platforms for providing the evidence to, and guiding the way through the changes we need, but higher levels of integration between the biodiversity and climate change agendas are needed to plug the implementation gap between the GBF and the Paris Agreement. The upcoming Conference of the Parties (COP) for the United Nations Framework Convention on Climate Change (COP29) and the Convention on Biological Diversity (COP16) present a clear policy window for the two conventions to introduce a formal governance structure, such as the one proposed in this contribution, that brings together ideas, people, organizations and processes necessary for joining the dots on how to both stabilize our climate and recover our nature.
Remote sensing for rangeland conservation monitoring: Impacts of livestock removal after 15 years
Authors: Retallack Angus , Rifai Sami , Finlayson Graeme , Ostendorf Bertram , Lewis Megan 
Published: July 2024

Abstract

Degradation from overgrazing of global arid rangelands is of significant concern for this widespread terrestrial ecosystem, and the people who rely on its sustainable use. Addressing this degradation requires a better understanding of how livestock removal and conservation management actions affect the rehabilitation of land condition. However, the dominant effect of climate and meteorological variability on arid vegetation makes isolating management‐induced change a difficult task.

We present an analytically simple method for measuring relative land condition by assessing differences in remote‐sensing‐derived persistent fractional vegetation between adjacent stocked and destocked regions over time. The 22‐year observation period focusses on vegetation recovery at a long‐established sheep station after the removal of livestock and the introduction of conservation‐focussed management. The study region, in the southern Australian arid rangelands, comprises sparsely vegetated chenopod shrublands and acacia woodlands across low‐lying plains. Comparison is made to immediately surrounding stocked properties in a spatial design where climate and biogeographic variables remain consistent across the study area.

We found an unequivocal relative increase in vegetation cover, and reduction of bare ground cover at the destocked property that became evident approximately 8 years after a reduction in grazing pressure. Distinctly higher persistent vegetation cover was maintained, even during periods of drought.

Non‐photosynthetic vegetation cover was most indicative of long‐term change and increased by 1.1% relative to surrounding areas. Photosynthetic vegetation cover increased by 0.5%, while bare ground cover decreased by 2.1%.

These cover changes, particularly in the non‐photosynthetic vegetation and bare ground components spatially coincide with the fenced boundary of the destocked property.

Synthesis and applications: The ability to quantify management‐related impacts in land condition using freely available remote sensing data could support improved management by all stakeholders in these regions. The method leverages readily available satellite remote sensing data in a study design that is not dependent on large geospatial and climatic datasets that are not necessarily available in remote regions.
Ecosystem CO2 flux responses to extreme droughts depend on interaction of seasonal timing and plant community composition
Authors: Zheng Zhenzhen , Li Linfeng , Biederman Joel A. , Wang Yanfen , Guan Shuntian , Li Congjia , Wen Fuqi , Liu Yuan , Xiong Yunqi , Qian Ruyan , Du Jianqing , Xue Kai , Cui Xiaoyong , Hao Yanbin 
Published: July 2024

Abstract

Droughts can affect ecosystem CO2 fluxes directly or indirectly by changing plant community composition. However, it is unknown whether shifts in plant community composition buffer or amplify the response of ecosystem CO2 fluxes to droughts with different seasonal timing, as plant phenology and physiology of the different plant functional types respond differently to droughts.

To identify the interaction of drought timing and plant community composition in regulating ecosystem CO2 fluxes, we conducted a three‐year manipulative experiment in which extreme droughts occurring in the early, mid and late growing seasons were separately imposed on experimental plot communities comprising graminoids, shrubs and their combination in a semi‐arid grassland of Inner Mongolia, China.

Overall, mid‐season drought caused the largest negative effects regardless of plant community composition. In addition to decreasing aboveground biomass, mid‐season drought suppressed fluxes by reducing leaf photosynthetic rate, while early‐season and late‐season drought reduced fluxes mainly by shortening growing season length. All three community compositions had consistent responses to early‐season and mid‐season droughts. However, ecosystem CO2 fluxes in the combination community were less negatively affected by late‐season drought than in either shrub or graminoid communities because the growing season length was shortened less.

Synthesis. Our results highlight that it is important to account for interactions of seasonal timing and plant community composition when predicting magnitude and pathways of drought effects on ecosystem carbon cycling.
Experiences of vaginal lengthening treatment and sexual well‐being in women with Mayer–Rokitansky–Küster–Hauser (MRKH) syndrome: An interview study
Authors: Jensen Amalie Hahn , Herlin Morten Krogh , Trolle Birgitta , Vogel Ida , Lou Stina 
Published: July 2024

AbstractObjectiveTo explore how women with Mayer–Rokitansky–Küster–Hauser (MRKH) syndrome experience dilation or surgical vaginal lengthening treatment, and their current sexual well‐being.DesignA qualitative interview study.SettingDenmark.PopulationWomen aged ≥25 years diagnosed with MRKH syndrome.MethodsSemi‐structured video interviews were conducted with 18 women. Interviews lasted a median of 92 min and were digitally recorded, transcribed and anonymised. Data were analysed using thematic analysis.Main Outcome MeasuresA qualitative analysis of women's experiences.ResultsThe analysis identified three themes. Firstly, Experiences with dilation treatment revealed dilation as an awkward routine, especially for adolescents living with parents and yet to sexually debut. While some experienced successful vaginal lengthening, others faced treatment failure leading to frustration and self‐blame. Secondly, Experiences with neovaginal surgery described the procedure as extremely painful but resulting in a ‘normal size’ vagina. Some women felt that the procedure had negatively impacted their self‐confidence, and all underscored the importance of maturity before opting for surgery. Lastly, Current sex life and sexual well‐being indicated a well‐functioning sex life for many women, but with reported low sexual confidence and genital self‐image due to the perceived ‘deviance’ of their genitalia.ConclusionsFor women with MRKH syndrome, vaginal lengthening treatment, whether through dilation or surgery, may result in a ‘normal size’ vagina. However, according to the women's experiences, vaginal lengthening treatment does not adequately foster positive sexual esteem and genital self‐image.