bluuebunny/crossref_metadata_2025_split huggingface dataset:
Community-based peptidomic clustering reveals pathogen-specific proteolytic signatures in wounds
Authors: Hartman Erik , Forsberg Fredrik , Kjellström Sven , Petrlova Jitka , Luo Congyu , Scott Aaron , Puthia Manoj , Malmström Johan , Schmidtchen Artur 
Published: December 2023

AbstractRecent advances in mass spectrometry-based peptidomics has catalyzed the identification and quantification of thousands endogenous peptides across diverse biological systems. However, the large theoretical peptidomic landscape and high proportion of missing values poses several challenges for downstream analyses and limits the comparability of clinical samples. Here, we present a generalizable computational workflow that clusters peptides with overlapping sequences to reduce the dimensionality of peptidomic data, improve the definition of protease cut-sites, enhance inter-sample comparability, and enable the implementation of reliable and large-scale data analysis methods akin to those employed in other omics fields. We showcase the algorithm by performing large-scale quantitative analysis of wound fluid peptidomes of highly defined porcine wounds and human clinical non-healing wounds. The analysis revealed signature phenotype-specific peptide regions reflecting pathogen-specific proteolytic activity at the earliest stages of colonization, resulting in novel class of potential peptide cluster-based biomarkers.
Higher-order correction of persistent batch effects in correlation networks
Authors: Micheletti Soel , Schlauch Daniel , Quackenbush John , Guebila Marouen Ben 
Published: December 2023

AbstractSystems biology methods often rely on correlations in gene expression profiles to infer co-expression networks, commonly used as input for gene regulatory network inference or to identify functional modules of co-expressed or co-regulated genes. While systematic biases, including batch effects, are known to induce spurious associations and confound differential gene expression analyses (DE), the impact of batch effects on gene co-expression has not been fully explored. Methods have been developed to adjust expression values, ensuring conditional independence of mean and variance from batch or other covariates for each gene. These adjustments have been shown to improve the fidelity of DE analysis. However, these methods do not address the potential for spurious differential co-expression (DC) between groups. Consequently, uncorrected, artifactual DC can skew the correlation structure, leading network inference methods that use gene co-expression to identify false, nonbiological associations, even when the input data is corrected using standard batch correction.In this work, we demonstrate the persistence of confounders in covariance after standard batch correction using synthetic and real-world gene expression data examples. Subsequently, we introduce Co-expression Batch Reduction Adjustment (COBRA), a method for computing a batch-corrected gene co-expression matrix based on estimating a conditional covariance matrix. COBRA estimates a reduced set of parameters expressing the co-expression matrix as a function of the sample covariates, allowing control for continuous and categorical covariates. COBRA is computationally efficient, leveraging the inherently modular structure of genomic data to estimate accurate gene regulatory associations and facilitate functional analysis for high-dimensional genomic data.
Economic recovery through the money supply and public spending in Morocco: an empirical investigation
Authors: Benkhaira Jihane , El Hassani Hafid 
Published: December 2023

PurposeThe present article aims to estimate an autoregressive vector model covering the period of 1990–2021 to analyze the effect of public spending and monetary supply increases in economic activity in Morocco.Design/methodology/approachA literature review on the policy of recovery with fiscal and monetary tools and its theoretical foundations was established. Then, an empirical study on the Moroccan context was executed to study the effectiveness of these instruments in Morocco from 1990 to 2021, using autoregressive vector modeling.FindingsThe results present a state of a positive relationship and statistical significance of public spending, money supply and economic growth. The impulse response function analysis and the forecast error variance decomposition showed that public spending does not have a large impact on gross domestic product, while the money supply has a real power to stimulate the growth of economic activity in Morocco.Originality/valueThis study aims to demonstrate the positive effect of the coordination of public spending and monetary supply increases on gross domestic product in Morocco. Additionally, the analysis using vector autoregressive modeling, impulse response functions, variance decomposition techniques and causality tests, provides crucial insights to guide researchers, practitioners and policymakers in developing more effective and resilient economic strategies. The findings from this study not only illuminate immediate recovery strategies but also contribute to strengthening the resilience of economies against potential future shocks.
Territoriality and social values: textual analysis of the #ConMuchoAcento campaign by Cruzcampo beer
Authors: López-Agulló Pérez-Caballero José Manuel , Ávila Rodríguez-de-Mier Belén , García-Chamizo Fernando 
Published: December 2023

PurposeThe aim of this research is to analyze the territorialization strategy developed by the Spanish brewing company Cruzcampo through its campaign #ConMuchoAcento (#With a strong accent) launched in January 2021.Design/methodology/approachThe work is framed within the case study methodology. Semiotics will be the discipline used to establish the set of cultural units or signs that the company puts into play in its campaign #ConMuchoAcento.FindingsCruzcampo beer makes use of place branding by highlighting the Andalusian accent as a way of creating a unique positioning strategy. By doing so, the brewing company faces the issue of being associated with the negative Andalusian stereotype, sometimes regarded as if it were uneducated and low class. The use of dialectic must be seen as a step further in place branding strategy since it brings locality to the commercial message.Social implicationsThe social effects of the cultural units brought into play by the #ConMuchoAcento campaign remain to be analyzed, that is, the political dimension of this exercise of signifying agency of Andalusian culture. In other words, it remains to be seen how the accent represents that romantic Andalusian ideal of “authenticity” as that form of subjectivity at the margins of the cultural and rational organization of modern global capitalism.Originality/valueThis study is one of the first to be conducted on the multi-award-winning #ConMuchoAcento campaign. Furthermore, it will analyze the place branding strategy carried out by the brand from a semiotic perspective.
Breaking barriers in accessing and uptaking climate change adaptation information by smallholder tomato farmers in Tanzania
Authors: Siyao Peter Onauphoo , Sanga Evaristo Eliakim 
Published: December 2023

Purpose
This study aims to assess barriers in accessing and uptaking climate change adaptation information among smallholder tomato farmers in Tanzania.

Design/methodology/approach
This study was conducted in Iringa and Morogoro regions, Tanzania. It adopted cross-sectional research design. Multistage, purposive and random sampling techniques with a sample size of 183 smallholder tomato farmers were used. Questionnaires containing closed- and open-ended questions, interview guide and focus group discussions were used to collect data. To ensure validity and reliability of data collection instruments, pretesting of the questionnaires was conducted by administering them to a small group of smallholder tomato growers. Statistical Product and Service Solutions software was used to analyse quantitative data while NVivo was used for analysing qualitative data.

Findings
Lack of clear understanding of climate change information (132, 72.1%), scarcity of libraries and information centres (125, 68.3%), inadequate income (125, 68.3%), lack of trust of sources of information (114, 62.3%), lack of sufficient knowledge about climate change (111, 60%), illiteracy (110, 60.1%), poor distribution of electricity in rural areas (109, 59.6%) and use of jargons (93, 50.8%) in explaining climate change adaptation issues are hindrances for smallholder tomato farmers to access and uptake climate change adaptation information.

Research limitations/implications
This study was conducted in only two districts in Tanzania; thus, the findings cannot be generalized.

Practical implications
The government and relevant agencies are recommended to use appropriate strategies for breaking the barriers that impede easy access and uptake of climate change adaptation information by smallholder tomato farmers as one of the interventions to combat the impacts posed by climate change.

Social implications
This study has contributed to the ongoing discourses on climate change issues. Such discourses have influenced attention and understanding of the role of access and uptake of climate change adaptation information by smallholder farmers for planning and implementation of adaptation strategies through awareness creation.

Originality/value
This study is in line with goal number 13.3 of Sustainable Development Goals, which vows on taking necessary actions in combating climate change and its impacts. Thus, smallholder tomato farmers’ awareness about climate change through access and uptake of climate change adaptation information is one of the interventions to combat climate change and its impacts.
Debt overhang and carbon emissions
Authors: Safiullah Md , Houqe Muhammad Nurul , Ali Muhammad Jahangir , Azam Md Saiful 
Published: December 2023

PurposeThis study investigates the association between debt overhang and carbon emissions (both direct and indirect emissions) using a sample of US publicly listed firms.Design/methodology/approachThe study applies generalized least squares (GLS) regression analyses to a sample of 2,043 US firm-year observations over a period of 14 years from 2007 to 2020. The methods include contemporaneous effect, lagged effect, alternative measures of carbon emissions and debt overhang, intensive versus non-intensive analysis, channel analysis, firm fixed effects, change analysis, controlling for credit rating analysis, propensity score matching approach, instrumental variable analysis with industry and year fixed effect.FindingsThis study's findings reveal that the debt overhang problem increases carbon emissions. This finding holds when the authors use alternative measures of carbon emissions and debt overhang. The authors find that carbon abatement investment is a channel that is negatively impacted by debt overhang, which in turn increases carbon emissions. This study's results are robust for several endogeneity tests, including firm fixed effects, change analysis, propensity score matching approach and two-stage least squares (2SLS) instrumental variable analysis.Practical implicationsThe outcome of this research has policy implications for several stakeholders, including investors, firms, market participants and regulators. This study's findings offer insights for investors and firms, helping them allocate resources effectively and make financing decisions aimed at reducing carbon emissions. Regulators and policymakers can also use the findings to formulate policies that promote alternative sustainable finance practices.Originality/valueThe outcome of this research is likely to help firms develop their understanding of the debt overhang problem and undertake strategies that yield a significant amount of funding to invest in reducing carbon emissions.
Achieving sustainability through multifaceted green functions in manufacturing
Authors: Rashid Aamir , Rasheed Rizwana , Ngah Abdul Hafaz 
Published: December 2023

Purpose
Green practices are essential for sustainability. However, it is challenging due to the socioeconomic and environmental concerns. Similarly, after the induced SDG-12 and SDG-13 by United Nations, the pressure groups forced manufacturers to consider sustainability. Therefore, this research aims to examine the sustainability through multifaceted green functions in manufacturing is examined.

Design/methodology/approach
Data were collected from 293 supply chain professionals of manufacturers from a developing economy. Hypotheses were tested through a quantitative method using partial least squares-structural equation modeling with the help of SmartPLS version 4 to validate the measurement model.

Findings
The findings revealed that all six direct hypotheses were supported. However, out of four hypotheses of mediation, one was not supported. Besides, a sequential mediation of green supply chain environmental cooperation and green human resource management was supported. The findings illustrated that green supply chain practices positively influence all used variables.

Research limitations/implications
This research provides practical insight to practitioners to implement green practices in their supply chain networks for social, economic and environmental sustainability and compliance with SDG-12 and SDG-13. The sustainability was validated in a higher-order construct (HOC) (formative), including sequential mediation in the model with the support of resource dependency theory. Therefore, this study adds substantial literature to the existing body of knowledge.

Originality/value
This research provides an interdisciplinary framework by adding knowledge to the Resource Dependency Theory to address Sustainable Development Goals-12 (SDGs) and SDG-13. Likewise, this research provides an extension towards the body of knowledge on the issue, which can be used in future research and critical examinations for cleaner and sustainable production. So far, in Pakistan, no research has looked at the function of these integrated variables in the manufacturing industry with a diligent focus on sustainability as it was validated in a higher-order construct (formative) with one sequential mediation, which makes this research unique.
Muslim travellers: a bibliometric analysis
Authors: Abdul Shukor Syadiyah , Kattiyapornpong Uraiporn 
Published: December 2023

Purpose
This study aims to provide an insight into research related to Muslim travellers in the past 42 years.

Design/methodology/approach
Using 342 articles collected from the Scopus database from 1981 to 2023, this study adopted the Bibliometrix in RStudio package and Biblioshiny Web application to analyse the research on Muslim travellers in two main categories: overview and intellectual structures.

Findings
The first publication related to Muslim travellers occurred in 1981 and number of publications remained few in the first three decades. Starting 2015, publications on Muslim travellers experienced a growing development of discussions and publications. Four prominent research clusters were identified: “halal tourism”, “hajj”, “Islamic tourism” and “tourist post-purchase”. Themes within the research on Muslim travellers have evolved from the “pilgrimage” to “Islamic tourism” theme. Then, the “Islamic tourism” theme has been expanded to a variety of topics that were primarily relevant to Muslim tourist behaviour. Themes related to “climate change” and “Syria” have been identified as the niche themes that need further study.

Research limitations/implications
Scopus database is regularly updated as the number of papers and journals may increase or decrease from time to time. This may impact on the fluctuation of the theme analysis from the article search at that time.

Originality/value
This study reviews publications related to Muslim travellers over the past four decades. Accordingly, it can aid interested researchers and stakeholders in gaining a more thorough understanding of Muslim traveller research.
Raising interest rates was the wrong medicine
Authors: Nersisyan Yeva , Wray L. Randall 
Published: December 2023

PurposeIn this paper, the authors examine the causes of 2021–2023 inflation and evaluate whether raising interest rates is the right solution.Design/methodology/approachThe authors evaluate both the macroeconomic (too much demand) and microeconomic (monopoly pricing and supply chains) explanations for the causes of inflation.FindingsThe authors argue that the spike in inflation is due to disrupted supply chains and corporations taking advantage of the situation to raise their prices. The aggregate demand stimulus from fiscal policy had all but played out by the time inflation arose, making it an unlikely cause of said inflation.Originality/valueThe authors' paper demonstrates that raising interest rates is the wrong solution to tackling the problem of inflation, especially since it's coming from the supply side.
CEO anger: a catalyst for error recognition and learning
Authors: Olson Bradley J. , Parayitam Satyanarayana , Cristofaro Matteo , Bao Yongjian , Yuan Wenlong 
Published: December 2023

PurposeThis paper elucidates the role of anger in error management (EM) and organizational learning behaviors. The study explores how anger can catalyze learning, emphasizing its strategic implications.Design/methodology/approachA double-layered moderated-mediated model was developed and tested using data from 744 Chinese CEOs. The psychometric properties of the survey instrument were rigorously examined through structural equation modeling, and hypotheses were tested using Hayes's PROCESS macros.FindingsThe findings reveal that anger is a precursor for recognizing the value of significant errors, leading to a positive association with learning behavior among top management team members. Additionally, the study uncovers a triple interaction effect of anger, EM culture and supply chain disruptions on the value of learning from errors. Extensive experience and positive grieving strengthen the relationship between recognizing value from errors and learning behavior.Originality/valueThis study uniquely integrates affect-cognitive theory and organizational learning theory, examining anger in EM and learning. The authors provide empirical evidence that anger can drive error value recognition and learning. The authors incorporate a more fine-grained approach to leadership when including executive anger as a trigger to learning behavior. Factors like experience and positive grieving are explored, deepening the understanding of emotions in learning. The authors consider both negative and positive emotions to contribute to the complexity of organizational learning.
Cost of organizational citizenship behaviors: serial mediation model of citizenship fatigue
Authors: Ali Nisar Qasim , Haider Shahbaz , Waqas Ali , Khan Waris Ali , Selem Kareem M. 
Published: December 2023

Purpose
Recently, a shift regarding the negative consequences of organizational citizenship behaviors (OCBs) has put them forward as employees’ negative aspects carrying dangerous consequences for organizations. Considering this issue’s seriousness, the purpose of this paper is to examine the process through which compulsory citizenship behavior fosters citizenship fatigue.

Design/methodology/approach
A total of 370 nurses working in Pakistani public-sector hospitals were this study’s final data set sample using SmartPLS4.

Findings
Partial least squares structural equation modeling (PLS-SEM) results revealed that when employees are compelled to engage in extra-role actions, they frequently experience work-life conflict, which results in citizenship fatigue. The higher the employee’s age and the lower the education level, the lower his/her citizenship fatigue. On the other hand, findings revealed that workaholic personality aspects tend to reduce the strength of the relationship between work-life conflict and citizenship fatigue.

Originality/value
To the best of the authors’ knowledge, this paper is the first attempt to examine the recently emerged concept of citizenship fatigue among health-care professionals through conservation of resources theory. Besides, this research will highlight how the demand for voluntary actions in routine or forced citizenship behavior can become the reason for work–family conflict and ultimately create citizenship fatigue. Additionally, this paper presents the novel concept of workaholic personality and how it can play a positive role in the linkage between work–family conflict and citizenship fatigue.
Supports that help me to live well in the community: experiences of people living with schizophrenia
Authors: Stewart Kylie , Hancock Nicola , Chapparo Christine , Stancliffe Emeritus Roger J. 
Published: December 2023

AbstractIntroductionPeople with schizophrenia are more likely to be hospitalised than any other psychiatric diagnosis. Occupational therapists working in mental health are often required to assess and recommend supports that will assist people with schizophrenia to live successfully in the community. There is little research exploring consumer perspectives regarding the support they find useful to stay out of the hospital. The aim of this study was to explore what supports people living with schizophrenia identify as helping them to live in the community and stay out of the hospital.MethodQualitative data were collected via semi‐structured interviews with adult consumers (N = 18) diagnosed with schizophrenia. Data were thematically analysed using constant comparative analysis methods. Inductive analysis was followed by a deductive phase of analysis.FindingsParticipants highlighted personal‐, occupational‐ and environmental‐focused supports. Person‐focused supports addressed cognitive and psychological needs. Occupation‐focused supports included assisting people to manage daily life with a mental illness; engage in social activities; and engage in meaningful activities. Environment‐focused supports included access to financial security; accommodation security; and community of choice. In addition to types of support, participants highlighted the importance of quality of support including the need for flexible; timely; and non‐judgemental support.ConclusionThese results emphasise the multifaceted nature of support required by people living with schizophrenia to stay out of the hospital. Both type and quality of support are important. People in this study were able to clearly articulate the types and qualities of support that were important to them. Occupational therapists may benefit from greater collaboration with consumers during assessments of support needs and the development of recommendations. Further exploration of how occupational therapists identify people's multifaceted support needs is required.