bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two distinct ferredoxins are essential for nitrogen fixation by the iron nitrogenase inRhodobacter capsulatus
Authors: Addison Holly , Glatter Timo , Hochberg Georg K. A. , Rebelein Johannes G. 
Published: December 2023

AbstractNitrogenases are the only enzymes able to fix gaseous nitrogen into bioavailable ammonia and, hence, are essential for sustaining life. Catalysis by nitrogenases requires both a large amount of ATP and electrons donated by strongly reducing ferredoxins or flavodoxins. Our knowledge about the mechanisms of electron transfer to nitrogenase enzymes is limited: The electron transport to the iron (Fe)-nitrogenase has hardly been investigated. Here, we characterised the electron transfer pathway to the Fe-nitrogenase inRhodobacter capsulatusvia proteome analyses, genetic deletions, complementation studies and phylogenetics. Proteome analyses revealed an upregulation of four ferredoxins under nitrogen-fixing conditions reliant on the Fe-nitrogenase in a molybdenum nitrogenase knockout strain, compared to non-nitrogen-fixing conditions. Based on these findings,R. capsulatusstrains with deletions of ferredoxin (fdx) and flavodoxin (fld, nifF) genes were constructed to investigate their roles in nitrogen fixation by the Fe-nitrogenase.R. capsulatusdeletion strains were characterised by monitoring diazotrophic growth and Fe-nitrogenase activityin vivo. Only deletions offdxCorfdxNresulted in slower growth and reduced Fe-nitrogenase activity, whereas the double-deletion of bothfdxCandfdxNabolished diazotrophic growth. Differences in the proteomes of ΔfdxCand ΔfdxNstrains, in conjunction with differing plasmid complementation behaviours offdxCandfdxN, indicate that the two Fds likely possess different roles and functions. These findings will guide future engineering of the electron transport systems to nitrogenase enzymes, with the aim of increased electron flux and product formation.ImportanceNitrogenases are essential for biological nitrogen fixation, converting atmospheric nitrogen gas to bioavailable ammonia. Production of ammonia by diazotrophic organisms, harbouring nitrogenases, is essential for sustaining plant growth. Hence, there is a large scientific interest in understanding the cellular mechanisms for nitrogen fixation via nitrogenases. Nitrogenases rely on highly reduced electrons to power catalysis, though we lack knowledge as to which proteins shuttle the electrons to nitrogenases within cells. Here, we characterised the electron transport to the iron (Fe)-nitrogenase in the model diazotrophRhodobacter capsulatus, showing that two distinct ferredoxins are very important for nitrogen fixation despite having different redox centres. Additionally, our research expands upon the debate on whether ferredoxins have functional redundancy or perform distinct roles within cells. Here, we observe that both essential ferredoxins likely have distinct roles based on differential proteome shifts of deletion strains and different complementation behaviours.
Adhesome Receptor Clustering is Accompanied by the Co- localization of the Associated Genes in the Cell Nucleus
Authors: Cammarata Louis V. , Uhler Caroline , Shivashankar G. V. 
Published: December 2023

AbstractProteins on the cell membrane cluster to respond to extracellular signals; for example, adhesion proteins cluster to enhance extracellular matrix sensing; or T-cell receptors cluster to enhance antigen sensing. Importantly, the maturation of such receptor clusters requires transcriptional control to adapt and reinforce the extracellular signal sensing. However, it has been unclear how such efficient clustering mechanisms are encoded at the level of the genes that code for these receptor proteins. Using the adhesome as an example, we show that genes that code for adhesome receptor proteins are spatially co-localized and co-regulated within the cell nucleus. Towards this, we use Hi-C maps combined with RNA-seq data of adherent cells to map the correspondence between adhesome receptor proteins and their associated genes. Interestingly, we find that the transcription factors that regulate these genes are also co-localized with the adhesome gene loci, thereby potentially facilitating a transcriptional reinforcement of the extracellular matrix sensing machinery. Collectively, our results highlight an important layer of transcriptional control of cellular signal sensing.
BlackRock, Inc. (USA): An environmentally sustainable asset investor as it claims to be?
Authors: Glowik Mario , Bhatti Waheed Akbar , Chwialkowska Agnieszka 
Published: December 2023

Purpose
Against the background of sustainable finance, this study aims to address whether global asset management firms started transforming toward more environmentally friendly investment policies according to the Agenda for Sustainable Development launched by the United Nations General Assembly in 2015.

Design/methodology/approach
The authors apply qualitative, explorative research methods through the development of the case study of BlackRock, Inc. (USA). Addressing sustainable finance, the authors compare the opposite to the editorial page (op-eds) communication strategy of BlackRock against real life for the period from 2015 until today.

Findings
The op-eds communication strategy by BlackRock is multi-faceted targeting to develop a leading sustainable reputation supported by fine-grained relationships to business and policy makers. This study empirically proves that there is a discrepancy between BlackRock’s op-eds communication contends concerning sustainable finance and the reality. Among others this study found that BlackRock still invests in fossils and increasingly launches passively managed funds with limited transparency standards in terms of sustainable finance.

Research limitations/implications
This study contributes to the corporate social responsibility literature focusing on fossil energy and sustainable finance. As BlackRock did not reply to the authors’ requests for conducting interviews, the authors rely on a broad range of secondary sources including material provided by non-governmental organizations. This study proposes that research should be amplified by further empirical studies among various sustainable finance stakeholders based on the research propositions the authors have developed as a result of this study.

Practical implications
This research provides empirical evidence for business executives and policy decision-makers involved in the energy industry, corporate ethics and global financial asset management.

Social implications
This study provides insights toward sustainable finance policies of BlackRock with corresponding outcomes related to global climate change and its impact on societies.

Originality/value
This study delivers empirical evidence on the energy transformation from fossils toward renewables against the background of sustainable finance strategies of large asset management enterprises such as BlackRock which is rare to find in the literature.
Ramping up the food park business: a case study of Urban Chowk
Authors: Shah Priyanka , Gupta Anu , Mitra Subhasish 
Published: December 2023

Learning outcomes
After completion of the case study, students will be able to critically appraise the strategic growth opportunities of an “eating out” industry brand; evaluate the role of customer relationship and retention management in sustaining a brand; and analyse the importance of developing core competencies for long-term business viability.

Case overview/synopsis
Since its inception in 2017, Urban Chowk was one of the pioneer places that successfully managed to create a hospitality format called “food and lifestyle park” which combined multiple food brands with good ambience and entertainment, all under the same roof. Although Urban Chowk was one of the popular brands in the given format, its USP was not difficult to challenge or copy. The owner, Mr Kartikey Rajput, anticipated a deluge of similar establishments in the near future. Urban Chowk led the pack in terms of footfalls compared to similar establishments, with Rajput looking to expand his brand beyond Ahmedabad. The case took 2022 as the timeline and brought forth the challenge that Urban Chowk faced. The primary challenge was retaining the existing customer base along with adding newer ones. Second, with the industry being extremely dynamic, it was important to determine how marketing analytics could be used to collect customer data and convert them into repeat customers, thus building a loyal customer base.

Complexity academic level
This case is applicable for teaching at undergraduate and graduate levels for understanding the concepts of brand development and strategic growth as well as creating and maintaining customer relationships, also helping the students in assimilating these concepts as a part of brand building.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 11: Strategy.
Perfectly imperfect and muddling through for sustainable futures
Authors: Domegan Christine T. , Flaherty Tina , McNamara John , Murphy David , Derham Jonathan , McCorry Mark , Nally Suzanne , Eakin Maurice , Brychkov Dmitry , Doyle Rebecca , Devine Arthur , Greene Eva , McKenna Joseph , OMahony Finola , O'Mahony Tadgh 
Published: December 2023

Purpose
To combat climate change, protect biodiversity, maintain water quality, facilitate a just transition for workers and engage citizens and communities, a diversity of stakeholders across multiple levels work together and collaborate to co-create mutually beneficial solutions. This paper aims to illustrate how a 7.5-year collaboration between local communities, researchers, academics, companies, state agencies and policymakers is contributing to the reframing of industrial harvested peatlands to regenerative ecosystems and carbon sinks with impacts on ecological, economic, social and cultural systems.

Design/methodology/approach
The European Union LIFE Integrated Project, Peatlands and People, responding to Ireland’s Climate Action Plan, represents Europe’s largest rehabilitation of industrially harvested peatlands. It makes extensive use of marketing research for reframing strategies and actions by partners, collaborators and communities in the evolving context of a just transition to a carbon-neutral future.

Findings
The results highlight the ecological, economic, social and cultural reframing of peatlands from fossil fuel and waste lands to regenerative ecosystems bursting with biodiversity and climate solution opportunities. Reframing impacts requires muddling through the ebbs and flows of planned, possible and unanticipated change that can deliver benefits for peatlands and people over time.

Research limitations/implications
At 3 of 7.5 years into a project, the authors are muddling through how ecological reframing impacts economic and social/cultural reframing. Further impacts, planned and unplanned, can be expected.

Practical implications
This paper shows how an impact planning canvas tool and impact taxonomy can be applied for social and systems change. The tools can be used throughout a project to understand, respond to and manage for unplanned events. There is constant learning, constantly going back to the impact planning canvas and checking where we are, what is needed. There is action and reaction to each other and to the diversity of stakeholders affected and being affected by the reframing work.

Originality/value
This paper considers how systemic change through ecological, economic, social and cultural reframing is a perfectly imperfect process of muddling through which holds the promise of environmental, economic, technological, political, social and educational impacts to benefit nature, individuals, communities, organisations and society.
Evaluation of UN SDG-related formal learning activities in a university common core curriculum
Authors: Lei Chi-Un , Chan Wincy , Wang Yuyue 
Published: December 2023

Purpose
Higher education plays an essential role in achieving the United Nations sustainable development goals (SDGs). However, there are only scattered studies on monitoring how universities promote SDGs through their curriculum. The purpose of this study is to investigate the connection of existing common core courses in a university to SDG education. In particular, this study wanted to know how common core courses can be classified by machine-learning approach according to SDGs.

Design/methodology/approach
In this report, the authors used machine learning techniques to tag the 166 common core courses in a university with SDGs and then analyzed the results based on visualizations. The training data set comes from the OSDG public community data set which the community had verified. Meanwhile, key descriptions of common core courses had been used for the classification. The study used the multinomial logistic regression algorithm for the classification. Descriptive analysis at course-level, theme-level and curriculum-level had been included to illustrate the proposed approach’s functions.

Findings
The results indicate that the machine-learning classification approach can significantly accelerate the SDG classification of courses. However, currently, it cannot replace human classification due to the complexity of the problem and the lack of relevant training data.

Research limitations/implications
The study can achieve a more accurate model training through adopting advanced machine learning algorithms (e.g. deep learning, multioutput multiclass machine learning algorithms); developing a more effective test data set by extracting more relevant information from syllabus and learning materials; expanding the training data set of SDGs that currently have insufficient records (e.g. SDG 12); and replacing the existing training data set from OSDG by authentic education-related documents (such as course syllabus) with SDG classifications. The performance of the algorithm should also be compared to other computer-based and human-based SDG classification approaches for cross-checking the results, with a systematic evaluation framework. Furthermore, the study can be analyzed by circulating results to students and understanding how they would interpret and use the results for choosing courses for studying. Furthermore, the study mainly focused on the classification of topics that are taught in courses but cannot measure the effectiveness of adopted pedagogies, assessment strategies and competency development strategies in courses. The study can also conduct analysis based on assessment tasks and rubrics of courses to see whether the assessment tasks can help students understand and take action on SDGs.

Originality/value
The proposed approach explores the possibility of using machine learning for SDG classifications in scale.
Information needs and information-seeking behavior of visual artists: a systematic review of the literature
Authors: Kolyvas Spyros , Kostagiolas Petros 
Published: December 2023

PurposeInformation makes an important contribution to the promotion of the creativity of visual artists. This work aims to explore relevant research through a systematic review of the literature and discuss the impact of information on visual artists' creativity.Design/methodology/approachA systematic literature review was conducted through Preferred Reporting Items for Systematic reviews and Meta-Analyses method. The authors searched and retrieved 1,320 papers from which, after evaluation, 41 papers have been analyzed.FindingsTwo thematic categories were identified for visual artists' information needs: (1) the need for professional development and (2) the need for creative techniques and materials. In terms of information sources visual artists employ, the authors have also identified seven broad categories: (1) conventional resources (galleries, museums, etc.), (2) professional scholar sources, (3) digital art websites, (4) informal information online and colleagues, (5) libraries, (6) personal collections and (7) professional scholar social networks. In addition, the study proceeded to classify the obstacles faced by visual artists in their search for visual information into two general categories: (1) environmental barriers and (2) digital literacy barriers.Originality/valueAlthough the investigation of the information needs satisfaction of visual artists as well as the evaluation of their information behavior patterns and information literacy competences is essential, it is understudied. This paper summarizes the relevant literature in a concrete and systematic way providing evidences to be considered in a variety of situations, i.e. developing lifelong learning programs, managing visual art library collections, library services development for artists, etc.
Joint effects of resource supply and resource types on properties of population dynamic models
Authors: Xiao Junli , Li Yuanzhi , Meiners Scott J. , Chu Chengjin 
Published: December 2023

Abstract

The Lotka–Volterra competition model is the foundation of many ecological theories including competitive exclusion principle, limiting similarity and modern coexistence theory. However, competition between species is often modelled phenomenologically without explicitly considering the underlying mechanisms (e.g. resource competition with various resource supply forms and resource types). Deriving phenomenological models from the first principles and linking parameters in phenomenological models to the mechanisms of competition are critical to advance our understanding of population dynamics and community assembly.

Here, we used time‐scale separation to theoretically derive phenomenological competition models from mechanistic consumer‐resource models with different resource supply forms (logistic and chemostatic) and resource types (substitutable and essential). We then compared the performance of the resulting phenomenological models with simulation experiments and observational plant dynamic data during 50 years of succession. We further explored how the resource supply ratio such as nutrient imbalance induced by human activities affected the critical parameters, including species' intrinsic growth rate and interaction strength in phenomenological models and consequently the population dynamics.

We found that consumer population dynamics can be described by the Lotka–Volterra competition model when consumers are competing for substitutable or essential resources under logistic supply. In contrast, a novel reciprocal model was derived when consumers are competing for essential resources under chemostatic supply. Results from simulation experiments supported the model derivations. We also found that the reciprocal model outperformed the Lotka–Volterra model in explaining and predicting the population growth of 90 herbaceous plants during 50 years of succession. Moreover, the resource supply ratio affected species' intrinsic growth rates and competitive strengths differently under various resource supply forms and resource types and thus determined competitive outcomes.

Synthesis. Our study provides an alternative model (reciprocal model) when organisms compete for essential resources under chemostatic supply and sets up a basis for the selection of phenomenological competition models through the lens of ecological processes and contributes to a more accurate prediction of population dynamics, especially those driven by human‐induced nutrient imbalance.
The economic impacts of a hypothetical foot and mouth disease outbreak in Australia
Authors: Wittwer Glyn 
Published: December 2023

AbstractThis study uses a multicountry, dynamic, quarterly CGE model, GlobeTERM, to estimate the economic impacts of a hypothetical foot and mouth disease outbreak in Australia. The national welfare losses arising from the outbreak depend mostly on the duration of trade sanctions by importers of Australian animal products. If an outbreak is contained within several months, and trade sanctions are dropped within a year of the outbreak, the net present value of Australia's welfare losses may be around AUS$10 billion. If all importers restore Australian access within a year, other than China–Hong Kong, which delays by 5 years, welfare losses are around AUS$21 billion. In a less likely scenario, in which trade sanctions persist in all trading partners for 5 years after the disease has been eradicated, contrary to international guidelines, welfare losses may exceed AUS$85 billion. Trading partners also suffer welfare losses due to trade sanctions. These losses are large enough to imply, from a global perspective, that a shift towards vaccinate‐to‐live policies combined with global efforts to eradicate the disease may be cost‐effective.
Bayesian hybrid index and genomic cline estimation with the R package gghybrid
Authors: Bailey Richard Ian 
Published: December 2023

AbstractAdmixture, the interbreeding of individuals from differentiated source populations, is now known to be a widespread phenomenon. Genomic studies of natural hybridisation can help to answer many questions on the impacts of admixture on adaptive evolution, reproductive isolation, and speciation. When a large variety of admixture proportions between two source populations exist, both geographic and genomic cline analysis are suitable methods for inferring biased, restricted or excessive gene flow at individual loci into the foreign genomic background, providing evidence for reproductive isolation, selection across an environmental transition, balancing selection, and adaptive introgression. Genomic cline analysis replaces geographic location with genome‐wide hybrid index and is therefore useable in circumstances that violate geographic cline assumptions. Here, I introduce gghybrid, an R package for simple and flexible Bayesian estimation of Buerkle's hybrid index and Fitzpatrick's logit‐logistic genomic clines using bi‐allelic data, suitable for both small and large datasets. gghybrid allows any ploidy and uses Structure input file format. It has separate functions for hybrid index and cline estimation, treating each individual and locus respectively as an independent analysis, making it highly parallelisable. Admixture proportions from other software can alternatively be used in cline analysis, alongside parental allele frequencies. Parameters can be fixed and samples pooled for statistical model comparison with AIC or waic. Here, I describe the functions, pipeline, and statistical properties of gghybrid. Simulations reveal that model comparison with waic is preferred, and use of Bayesian posterior distributions and p values to select candidate non‐null loci is problematic and should be avoided.