bluuebunny/crossref_metadata_2025_split huggingface dataset:
Not just flowering time: A resurrection approach shows floral attraction traits are changing over time
Authors: Bishop Sasha G.D. , Chang Shu-Mei , Baucom Regina S. 
Published: August 2022

ABSTRACTContemporary anthropogenic changes in climate and landscape form a complex set of selective pressures acting on natural systems, yet, in many systems, we lack information about both whether and how organisms may adapt to these changes. In plants, research has focused on climate-induced changes in phenology and the resultant potential for disruption of plant-pollinator interactions, however there remains a paucity of knowledge regarding how other pollinator-mediated traits may be involved in adaptive response. Here, we use resurrection experiments to investigate the phenotypic basis of adaptation in a mixed-mating system plant, the common morning glory (Ipomoea purpurea). Specifically, we measure temporal and spatial changes in traits grouped into three categories relevant to plant-pollinator interactions - floral morphology, floral rewards, and floral phenology. We show a significant temporal increase in corolla size and shift to earlier flowering times, as well as a potential for increased investment in floral rewards, all of which are driven primarily by populations at more northern latitudes. Additionally, we find evidence for directional selection on floral morphology and phenology, and evidence of balancing selection acting on anther-stigma distance. Overall, these results show an adaptive response in line with greater investment in pollinator attraction rather than self-pollination and fine-scale spatial differences in adaptive potential.
Evolution of insecticide resistance via parallel amino acid substitutions in insect pests and their parasitoid wasps
Authors: Guo Lei , Huang Jia 
Published: August 2022

AbstractInsecticides have become the primary selective force in many insect species; however, whether beneficial insects developed resistance remains unknown. We analyzed the sequences of hymenopteran GABAA receptor subunit geneRdl(resistance to dieldrin), which encodes the target of cyclodiene and phenylpyrazole insecticides. The resistance-conferring A2 S mutations were found in seven parasitoid wasps and similar amino acid replacements at homologous sites have been identified in four of their resistant hosts. Our findings indicate how parallel molecular evolution at a single amino acid site confers adaptation in both insects and their natural enemies, which may shape species interactions and community structure.
Coherently Remapping Toroidal Cells But Not Grid Cells are Responsible for Path Integration in Virtual Agents
Authors: Schøyen Vemund , Pettersen Markus Borud , Holzhausen Konstantin , Fyhn Marianne , Malthe-Sørenssen Anders , Lepperød Mikkel Elle 
Published: August 2022

AbstractAnimals employ a neural system to map physical environmental position to neural activity and encode allocentric location. Grid cells, proposedly a vital component of this system, form a population code of space by firing in characteristic tessellated triangles of locations. This population code remaps across environments and behavioural states, independently of specific sensory inputs, pointing to a substrate of standard computation across environments, which many speculate to be path integration. However, testing whether these cells are crucial for path integration is outside the scope of current experiments and calls for complementary methods, possibly given by computational models. Recently, normative artificial neural network models have shown that path integration and grid-cell-like activity can be found in recurrent neural networks (RNNs) trained to navigate in a simulated two-dimensional environment. Remarkably, the emergent spatial profile of these grid-like cells is similar to biological cell responses in that they set up a toroidal structure. Here, we extend the RNN normative model to multiple environments and show that cells that form the toroidal structure are crucial for path integration. However, cells selected through the grid cell score, a common defining property of grid cells, are much less important and comparable to randomly selected cells. Moreover, we show that the model can navigate multiple environments and that toroidal cells remap across environments in a biologically plausible way. Results demonstrate a causal relation between toroidal cells and path integration in virtual agents and propose a mechanism of remapping in grid cells based on remapping in place cells. The work is anticipated to impact both experimental and computational neuroscience and machine learning due to the methods employed and the evaluation of results. For example, we propose explicit experiments that can evaluate both the model’s validity and the role of grid cells in navigation. Moreover, the model may elucidate how high-dimensional data is mapped to low-dimensional structures, possibly providing a substrate for interpolation.
Are Deep Learning Structural Models Sufficiently Accurate for Virtual Screening? Application of Docking Algorithms to AlphaFold2 Predicted Structures
Authors: Díaz-Rovira Anna M. , Martín Helena , Beuming Thijs , Díaz Lucía , Guallar Victor , Ray Soumya S. 
Published: August 2022

AbstractMachine learning protein structure prediction, such as RosettaFold and AlphaFold2, have impacted the structural biology field, raising a fair amount of discussion around its potential role in drug discovery. While we find some preliminary studies addressing the usage of these models in virtual screening, none of them focus on the prospect of hit-finding in a real-world virtual screen with a target with low sequence identity. In order to address this, we have developed an AlphaFiold2 version where we exclude all structural templates with more than 30% sequence identity. In a previous study, we used those models in conjunction with state of the art free energy perturbation methods. In this work we focus on using them in rigid receptor ligand docking. Our results indicate that using out-of-the-box Alphafold2 models is not an ideal scenario; one might think in including some post processing modeling to drive the binding site into a more realistic holo target model.
Agility of facilities management organizations during the COVID-19 pandemic: lessons learnt for future pandemics
Authors: Ling Florence Yean Yng , Tam Jia Yi 
Published: August 2022

Purpose
This study aims to investigate how agile facilities management (FM) organizations were during the COVID-19 pandemic in Singapore, examine the agile strategies adopted and extracted lessons learnt for managing facilities in future pandemics.

Design/methodology/approach
Data were collected using a questionnaire coupled with in-depth interviews with FM professionals.

Findings
The FM sector experienced significant challenges such as increased operating cost and shortage of FM staff. FM organizations were assessed to be agile as they overcame challenges swiftly, made rapid changes to their service offerings as the situation evolved, engaged facility owners actively and adopted strategies that were flexible and responsive. They also adopted health-centric employee care.

Research limitations/implications
The research was conducted during the pandemic. The final verdict of FM organizations’ agility and the most effective practices may only be known when the COVID-19 pandemic ends.

Practical implications
Lessons learnt for FM to manage future pandemics were crystalized. These include reducing reliance on manpower, boosting technology adoption and personalized employee engagement.

Originality/value
This study added to knowledge by testing and confirming that the agility theory and its six metrics of agility comprising flexibility, velocity, responsiveness, collaboration, visibility and competence may be used by FM organizations to be agile in a crisis or disruption. Its originality is the discovery of a new construct – health-centric employee care – that is needed to further boost FM organizations’ agility performance in a pandemic. Health-centric employee care involves practices to reduce intra-staff transmission of the virus and individualized employee support to build resilience.
HR analytics: what’s holding users back?
Authors: Arora Meenal , Prakash Anshika , Mittal Amit , Singh Swati 
Published: August 2022

Purpose
HR analytics is a process for systematic computational analysis of data or statistics. It discovers, interprets and communicates significant patterns in data to enable evidence-based HR research and uses analytical insights to help organizations achieve their strategic objectives. However, its adoption and utilization among HR professionals remain a subject of concern. This study aims to determine the reasons that facilitate or inhibit the acceptance of HR analytics among HR professionals in the banking, financial services and insurance (BFSI) sector.

Design/methodology/approach
A sample of 387 HR professionals in BFSI firms across India was collected through non-probabilistic purposive sampling. Structural equation modeling was applied to analyze the association between predetermined variables. In addition, the predictive relevance of “Data Availability” was analyzed using hierarchical regression.

Findings
The results revealed that data availability, hedonic motivation and performance expectancy positively influenced behavioral intention (BI). In contrast, effort expectancy, social influence and habit had an insignificant effect on BI. Also, facilitating conditions (FCs), habit, BI achieved a variance of 60% in HR analytics use. The use behavior of HR analytics was significantly influenced by FCs and BIs.

Practical implications
This study focuses on insights into the elements that influence HR analytics adoption, revealing additional light on success drivers and grey areas for failed adoption.

Originality/value
This research adds to the body of knowledge by identifying factors that hinder the adoption of HR analytics in Indian organizations and signifies the relevance of easy accessibility and availability of data for technology adoption.
Higher education in turbulent times: navigating the transition from un-sustainability in a world dominated by technology
Authors: Hume Therese 
Published: August 2022

Purpose
The purpose of this paper is to reflect on the implications for higher education of a rapidly changing global context, where technologies play a role in the propagation of unsustainable patterns of change. Drawing from research on science and technology studies as well as existing work on (higher) education for sustainability, it seeks to expose the multidimensional nature of these patterns to raise a series of questions for educators, particularly those in engineering, computer science and other technical disciplines, and inform structured curricular and organisational interventions.

Design/methodology/approach
Theoretical perspectives on unsustainable patterns of technological change are explored with the objective of informing how the mitigation of their evolution could be addressed in educational settings. Key themes in the sustainability and higher education literature are then identified with the purpose of informing curricular and organisational intervention.

Findings
Countering unsustainable patterns of technological change requires the development of key sustainability competencies within more technical disciplines, informed by concepts in science and technology studies. This requires change at curricular, organisational and institutional levels to enable spaces for inter- and transdisciplinary learning to be created, so that skills may be developed.

Originality/value
This paper reflects on unsustainable patterns of technological change, identifying challenges for educators, in particular those in more technical disciplines.
Disclosure of key audit matters (KAMs) in financial reporting: evidence from an emerging economy
Authors: Rahaman Md Mustafizur , Hossain Md Moazzem , Bhuiyan Md. Borhan Uddin 
Published: August 2022

PurposeThe new audit regulation for disclosure of key audit matters (KAMs) in financial reporting has been introduced in both developed and developing countries. This study investigates the influence of three distinctive sets of variables, namely industry features, firm characteristics and auditor attributes, on the extent, pattern and level of disclosure of KAMs by companies listed in Bangladesh, an emerging economy.Design/methodology/approachThe study uses qualitative and quantitative research approaches to investigate the pattern of disclosure of KAMs and their determinants. With a sample of 447 firm-year observations from companies listed on the Dhaka Stock Exchange over 2018–2020, the study reveals industry-level, firm-level and auditor-specific characteristics that affect KAMs' communication in the new audit reporting model.FindingsThe findings suggest that significant differences exist between firms in the number and types of KAMs reported and the extent of their disclosure. The study findings also observed variations both within and across different industry sectors. Highly regulated firms disclose a greater number of KAMs, while environmentally sensitive firms are found to provide a greater detail of the issues presented as KAMs. Further, both firm size and age positively impact the number of KAMs disclosed and the extent of the disclosure provided. Big-4-affiliated auditors do not issue a significantly higher number of KAMs but deliver extensive details to their KAMs description, compared to non-Big-4 auditors. In addition, while auditors, in general, tend to issue boilerplate KAMs, Big-4 associates are found to disclose more new KAMs. However, audit fees and auditor rotation do not influence KAMs disclosure.Research limitations/implicationsThis study is based on two years of publicly available data. However, future studies could consider in-depth interviews to explore the motivation behind KAMs' disclosure in Bangladesh and other developing countries with similar cultural and contextual values.Practical implicationsThese findings have substantial policy considerations for improving firms' audit quality and, thus, their financial reporting quality, with implications for national and international standard-setters, regulators and other stakeholders.Originality/valueThis study is one of the earliest endeavours to investigate KAMs in a context of an emerging country, such as Bangladesh, which adopted KAMs' disclosure in 2018.
Less workplace parking with fully autonomous vehicles?
Authors: Tscharaktschiew Stefan , Reimann Felix 
Published: August 2022

Purpose
Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will decline because of the capability of FAVs to return home, to seek out (free) parking elsewhere or just cruise. This would be good news because, as of today, parking is one of the largest consumers of urban land and is associated with substantial costs to society. None of the studies, however, is concerned with the special case of employer-provided parking, although workplace parking is a widespread phenomenon and, in many instances, the dominant form of commuter parking. The purpose of this paper is to analyze whether commuter parking will decline with the advent of self-driving cars when parking is provided by the employer.

Design/methodology/approach
This study looks at commuter parking from the perspective of both the employer and the employee because in the case of employer-provided parking, the firm’s decision to offer a parking space and the incentive of employees to accept that offer are closely interrelated because of the fringe benefit character of workplace parking. This study develops an economic equilibrium model that explicitly maps the employer–employee relationship, considering the treatment of parking provision and parking policy in the income tax code and accounting for adverse effects from commuting, parking and public transit. This study determines the market level of employer-provided parking in the absence and presence of FAVs and identifies the factors that drive the difference. This study then approximates the magnitude of each factor, relying on recent (first) empirical evidence on the impacts of FAVs.

Findings
This paper’s analysis suggests that as long as distortive (tax) policy favors employer-provided parking, FAVs are no guarantee to end up with less commuter parking.

Originality/value
This study’s findings imply that in a world of self-driving cars, policy intervention related to work commuting (e.g. fringe benefit taxation or transport pricing) might be even more warranted than today.
The dynamics of value propositions through social media engagement in maritime transport networks: Maersk vs Mediterranean Shipping Company
Authors: D'agostini Enrico 
Published: August 2022

PurposeThis study explores the levels of Facebook engagement of the two largest Europe-based shipping lines, Maersk and Mediterranean Shipping Company (MSC), to discover the marketing orientation of the topics advertised and to ascertain whether they tend to be about brand recognition, new transport services, or value propositions for stakeholders.Design/methodology/approachThe Facebook posts of Maersk and MSC were analysed using social media text mining and social network analysis (SNA); in- and out-degree centrality analysis was performed to determine the key terms in their posts. NetMiner software was used to collect the respective data on Maersk and MSC. The inquiry period was set between May 2020 and February 2021.FindingsThe results indicated a divergence in their post contents, with higher engagement and a wider, more active follower base for MSC than for Maersk. Maersk primarily posts about logistics services and supply chain solutions. MSC communicates about new and large container vessels. Both companies seek greater brand recognition and information sharing through social media.Originality/valueThese results can be used by the stakeholders to evaluate whether Maersk and MSC truly deliver on their respective value propositions communicated online through their social media engagement. It can also help Maersk and MSC gauge the level of effectiveness of their communication with stakeholders and modify their digital engagement strategy accordingly.
A practical application of statistical process control to evaluate the performance rate of academic programmes: implications and suggestions
Authors: Gessa Ana , Marin Eyda , Sancha Pilar 
Published: August 2022

Purpose
This study aims to properly and objectively assess the students’ study progress in bachelor programmes by applying statistical process control (SPC). Specifically, the authors focused their analysis on the variation in performance rates in business studies courses taught at a Spanish University.

Design/methodology/approach
A qualitative methodology was used, using an action-based case study developed in a public university. Previous research and theoretical issues related to quality indicators of the training programmes were discussed, followed by the application of SPC to assess these outputs.

Findings
The evaluation of the performance rate of the courses that comprised the training programs through the SPC revealed significant differences with respect to the evaluations obtained through traditional evaluation procedures. Similarly, the results show differences in the control parameters (central line and control interval), depending on the adopted approach (by programmes, by academic year and by department).

Research limitations/implications
This study has inherent limitations linked to both the methodology and selection of data sources.

Practical implications
The SPC approach provides a framework to properly and objectively assess the quality indicators involved in quality assurance processes in higher education.

Originality/value
This paper contributes to the discourse on the importance of a robust and effective assessment of quality indicators of the academic curriculum in the higher education context through the application of quality control tools such as SPC.
Risk management in higher education research: a systematic literature review
Authors: Khaw Tze Yin , Teoh Ai Ping 
Published: August 2022

Purpose
The growing uncertainty in the world because of economic factors, political issues, natural disasters, global COVID-19 outbreak and technological advancements, make effective risk management (RM) an essential successful strategy for various industries, especially higher education (HE) industry to overcome uncertainties for success. The purpose of this systematic literature review (SLR) is to present a current overview of RM in HE from 2005 to 2021, with a focus on common risk management practised in HE industry, antecedents towards RM implementation and outcomes of RM.

Design/methodology/approach
The publication standard for this SLR was RepOrting Standards for Systematics Evidence Syntheses. Scopus, one of the most prominent scientific databases, was used to select articles. Only articles from the years 2005 to 2021 were studied. This study focussed on RM in the HE industry.

Findings
This review identified three main themes: common risk management practised in HE industry, antecedents towards RM implementation and outcomes of RM. An additional ten sub-themes were derived from the three main themes.

Originality/value
This paper systematically reviewed developments of RM research in HE from year 2005 to 2021, leads to a clearer understanding of RM issues in HE institutions. The findings allow interested parties to better understand RM and enables top management to create their own personalised list of drivers and implementation policies to respond to risks and uncertainties.
PESTEL analysis of mental health management of project management practitioners (PMPs) in architecture, engineering and construction (AEC) project organization
Authors: Tijani Bashir , Jin Xiao-Hua , Osei-Kyei Robert 
Published: August 2022

PurposeArchitectural, engineering and construction (AEC) project organizations are under constant pressure to improve the mental health of project management practitioners (PMPs) due to complexity and dynamism involved in project management practices. Drawing on institutional theory, this research explores how external environmental factors, political factors, economic factors, social factors, technological factors, environmental factors and legal factors (PESTEL), influence mental health management indicators that contribute to positive mental health.Design/methodology/approachPurposive sampling method was used to collect survey data from 82 PMPs in 60 AEC firms in Australia. Structural equation modelling was used to test the hypotheses based on 82 items of data collected from PMPs.FindingsOverall, this study revealed interesting findings on the impact of external environmental factors on mental health. The hypothesized positive association between political factors and mental health management indicators was rejected. The data supported the proposed hypothetical correlation between economic factors and mental health management indicators and the influence of social factors on mental health management indicators. Moreover, a hypothetical relationship between technological factors and mental health management indicators was supported. The significant positive impact of environmental factors on mental health management indicators proposed was supported, and legal factors’ positive correlation on mental health management indicators was also supported.Originality/valueDespite the limitations, the present findings suggest that all the external environment factors except political factors shape mental health management outcomes.