bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comprehensive catalog of 3D genome organization in diverse human genomes facilitates understanding of the impact of structural variation on chromatin structure
Authors: Li Chong , Bonder Marc Jan , Syed Sabriya ,   Human Genome Structural Variation Consortium (HGSVC),   HGSVC Functional Analysis Working Group, Zody Michael C. , Chaisson Mark J.P. , Talkowski Michael E , Marschall Tobias , Korbel Jan O , Eichler Evan E , Lee Charles , Shi Xinghua 
Published: May 2023

SummaryThe human genome is packaged into the three-dimensional (3D) nucleus and organized into functional units known as topologically associating domains (TADs) and chromatin loops. Recent studies show that the 3D genome can be modified by genome structural variants (SVs) through disrupting higher-order chromatin organizations such as TADs, which play an essential role in insulating genes from aberrant regulation by regulatory elements outside TADs. Here, we have developed an integrative Hi-C analysis pipeline to generate a comprehensive catalog of TADs, TAD boundaries, and loops in human genomes to fill the gap of limited resources. We identified 2,293 TADs and 6,810 sub-TADs missing in the previously released TADs of GM12878. We then quantified the impact of SVs overlapping with TAD boundaries and observed that two SVs could significantly alter chromatin architecture leading to abnormal expression and splicing of genes associated with human diseases.
Asymmetric apical domain states of mitochondrial Hsp60 coordinate substrate engagement and chaperonin assembly
Authors: Braxton Julian R. , Shao Hao , Tse Eric , Gestwicki Jason E. , Southworth Daniel R. 
Published: May 2023

ABSTRACTThe mitochondrial chaperonin, mtHsp60, promotes the folding of newly imported and transiently misfolded proteins in the mitochondrial matrix, assisted by its co-chaperone mtHsp10. Despite its essential role in mitochondrial proteostasis, structural insights into how this chaperonin binds to clients and progresses through its ATP-dependent reaction cycle are not clear. Here, we determined cryo-electron microscopy (cryo-EM) structures of a hyperstable disease-associated mtHsp60 mutant, V72I, at three stages in this cycle. Unexpectedly, client density is identified in all states, revealing interactions with mtHsp60’s apical domains and C-termini that coordinate client positioning in the folding chamber. We further identify a striking asymmetric arrangement of the apical domains in the ATP state, in which an alternating up/down configuration positions interaction surfaces for simultaneous recruitment of mtHsp10 and client retention. Client is then fully encapsulated in mtHsp60/mtHsp10, revealing prominent contacts at two discrete sites that potentially support maturation. These results identify a new role for the apical domains in coordinating client capture and progression through the cycle, and suggest a conserved mechanism of group I chaperonin function.
Sustainable development and bank non-performing loans: are they correlated?
Authors: Ozili Peterson K. 
Published: May 2023

PurposeThis paper aims to investigate the correlation between banking sector non-performing loans (NPLs) and the level of sustainable development.Design/methodology/approachPearson correlation test statistic was used to assess the correlation between bank NPLs and sustainable development.FindingsThere is a significant positive correlation between banking sector NPLs and the level of sustainable development measured by the sustainable development index (SDI). The significant positive correlation is evident in European countries and in countries in the region of the Americas. There is a significant negative correlation between banking sector NPLs and achieving SDG3 and SDG7 in African countries and European countries. There is also a significant negative correlation between NPLs and achieving SDG10 in European countries. There is a significant positive correlation between banking sector NPLs and achieving SDG4 and SDG7 in the region of the Americas. There is also a significant positive correlation between NPLs and achieving SDG10 in African countries and in countries in the region of the Americas.Originality/valueThe present study is unique and different from other studies because it used a unique SDI to capture the level of sustainable development. The analysis is also unique because it covers several regions, which have not been covered in previous studies.
Cybersecurity effectiveness in UK construction firms: an extended McKinsey 7S model approach
Authors: Badi Sulafa , Nasaj Mohamed 
Published: May 2023

PurposeThis study aims to assess the essential elements of internal organisational capability that influence the cybersecurity effectiveness of a construction firm. An extended McKinsey 7S model is used to analyse the relationship between a construction firm's cybersecurity effectiveness and nine internal capability elements: shared values, strategy, structure, systems, staff, style, skills, relationships with third parties and regulatory compliance.Design/methodology/approachBased on a quantitative research strategy, this study collected data through a cross-sectional survey of professionals working in the construction sector in the United Kingdom (UK). The collected data was analysed using descriptive and inferential statistical methods.FindingsThe findings underlined systems, regulatory compliance, staff and third-party relationships as the most significant elements of internal organisational capability influencing a construction firm's cybersecurity effectiveness, organised in order of importance.Research limitations/implicationsFuture research possibilities are proposed including the extension of the proposed diagnostic model to consider additional external factors, examining it under varying industrial relationship conditions and developing a dynamic framework that helps improve cybersecurity capability levels while overseeing execution outcomes to ensure success.Practical implicationsThe extended McKinsey 7S model can be used as a diagnostic tool to assess the organisation's internal capabilities and evaluate the effectiveness of implemented changes. This can provide specific ways for construction firms to enhance their cybersecurity effectiveness.Originality/valueThis study contributes to the field of cybersecurity in the construction industry by empirically assessing the effectiveness of cybersecurity in UK construction firms using an extended McKinsey 7S model. The study highlights the importance of two additional elements, third-party relationships and construction firm regulatory compliance, which were overlooked in the original McKinsey 7S model. By utilising this model, the study develops a concise research model of essential elements of internal organisational capability that influence cybersecurity effectiveness in construction firms.
Investigation and prediction of users' sentiment toward food delivery apps applying machine learning approaches
Authors: Hossain Md Shamim , Begum Humaira , Rouf Md. Abdur , Sabuj Md. Mehedul Islam 
Published: May 2023

PurposeThe goal of the current research is to use different machine learning (ML) approaches to examine and predict customer reviews of food delivery apps (FDAs).Design/methodology/approachUsing Google Play Scraper, data from five food delivery service providers were collected from the Google Play store. Following cleaning the reviews, the filtered texts were classified as having negative, positive, or neutral sentiments, which were then scored using two unsupervised sentiment algorithms (AFINN and Valence Aware Dictionary for sentiment Reasoning (VADER)). Furthermore, the authors employed four ML approaches to categorize each review of FDAs into the respective sentiment class.FindingsAccording to the study's findings, the majority of customer reviews of FDAs were positive. This research also revealed that, while all of the methods (decision tree, linear support vector machine, random forest classifier and logistic regression) can appropriately classify the reviews into a sentiment category, support vector machines (SVM) beats the others in terms of model accuracy. The authors' study also showed that logistic regression provided the highest recall, F1 score and lowest Root Mean Square Error (RMSE) among the four ML models.Practical implicationsThe findings aid FDAs in determining customer review behavior. The study's findings could help food apps developers better understand how customers feel about the developers' products and services. The food apps developer can learn how to use ML techniques to better understand the users' behavior.Originality/valueThe current study uses ML methodologies to investigate and predict consumer attitude regarding FDAs.
Reawakening criminology: the importance of scientific method and inquiry in policing practice
Authors: Birch Philip , Kruger Erin , Porter Glenn , Bizo Lewis A. , Kennedy Michael 
Published: May 2023

PurposeCriminology both as a field of study and as a practice draws on a broad range of disciplines from the social, behavioural, human, natural and medical sciences. However, over recent times, the natural and medical sciences have been dismissed, overlooked and even ridiculed, largely since the rise of critical criminology and related contemporary conflict and social harm approaches from the 1960s onwards. This has led to a chasm emerging between the study of criminology and the practice of criminology such as within a policing context. This paper aims to provide a review of an emerging forensic biological method, that of neuroscience, within a criminological context, to illustrate the importance of criminology embracing and reawakening its natural and medical science roots.Design/methodology/approachThe paper draws on a conceptual design to realign criminology with the full range of disciplines used to inform its theory and application.FindingsThrough illustrating the role of forensic neuroscience, the paper reawakens the scientific method and inquiry of criminology reflecting the importance of the discipline being, and remaining, multi- and trans-disciplinary in nature. The paper, while reflecting on the limitations of scientific method and inquiry, outlines the strengths this approach to criminology engenders, promoting and delivering a scientific-based research agenda that aims to support industry partners in the prevention, disruption and reduction of crime, disorder and threats to public security.Practical implicationsFirstly, it is important for criminology as a field of study to (re)engage with its scientific method and inquiry. Secondly, criminology, by engaging in robust scientific method and inquiry, has a significant contribution to make to professional practice and the work of industry professionals. Thirdly, while there are limitations to such scientific method and inquiry, it should not lead to this component of criminology being discarded. Fourthly, there is a need for contemporary research in the area of scientific method and inquiry and its application to criminological contexts, including that of police practice. Finally, by engaging in scientific method and inquiry that is evidence based, a chasm between the field of study and the practice associated with criminology can be addressed.Originality/valueThis paper addresses the gap between criminology as a field of study and as a practice by reengaging with scientific method and inquiry, illustrating the need and value of criminology being and remaining multi- and trans-disciplinary, ensuring professions underpinned by criminology are supported in their practice.
Evaluating the quality of the organisational learning capability measurement model
Authors: Sanhokwe Hamfrey , Chinyamurindi Willie , Muzurura Joe 
Published: May 2023

Purpose
This study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model.

Design/methodology/approach
A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup confirmatory factor analysis facilitated measurement invariance testing. This study assessed the predictive validity of the organisational learning capability subscales using hierarchical regression analysis.

Findings
This study replicated the second-order organisational learning capability model with four subscales. Bifactor modelling confirmed the multidimensionality of the organisational learning capability. The organisational learning capability was invariant between gender groups. The organisational learning capability subscales accounted for a significant variance in innovative work behaviour.

Practical implications
The organisational learning capability exhibits robust properties, making it a plausible option for monitoring the quality of organisational learning. Organisations must appreciate the quality of this dynamic capability and leverage it to generate new sources of value.

Originality/value
This study fills a critical gap in organisational learning-related capabilities in sub-Saharan African contexts, providing a base to influence innovation-related trajectories positively.
Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making
Authors: Shoaib Muhammad , Zhang Shengzhong , Ali Hassan , Akbar Muhammad Azeem , Hamza Muhammad , Rehman Waheed Ur 
Published: May 2023

PurposeThis study aims to identify and prioritize the challenges to adopting blockchain in supply chain management and to make its taxonomic model. Moreover, validate whether these challenging factors exist in the real world and, if they exist, then in what percentage.Design/methodology/approachThis research adopted the fuzzy best-worst method (F-BWM), which integrates fuzzy set theory with the best-worst method to identify and prioritize the prominent challenges of the blockchain-based supply chain by developing a weighted multi-criteria model.FindingsA total of 20 challenges (CH's) were identified. Lack of storage capacity/scalability and lack of data privacy challenges were found as key challenges. The findings of this study will provide a robust framework of the challenges that will assist academic researchers and industry practitioners in considering the most significant category concerning their working area.Practical implicationsBlockchain provides the best solution for tracing and tracking where RFID has not succeeded. It can improve quality management in a supply chain network by improving standards and speeding up operations. For inventory management, blockchain provides transparency of documentation for both parties within no time.Originality/valueTo the best of the authors' knowledge, no previous research has adopted the fuzzy best-worst method to prioritize the identified challenges of blockchain implementation in the supply chain. Moreover, no study provides a taxonomic model for the challenges of implementing a blockchain-based supply chain.
The impact of the Russia–Ukraine war on the United States natural gas futures prices
Authors: Saad Ghadi 
Published: May 2023

PurposeThis paper attempts to investigate the impact of the Russia–Ukraine war on the returns and volatility of the United States (US) natural gas futures market.Design/methodology/approachThe study uses secondary data of 996 trading day provided by the US Department of Energy and investing.com websites and applies the event study methodology in addition to the generalized autoregressive conditional heteroscedastic (GARCH) family models.FindingsThe findings from the exponential EGARCH (1,1) estimate are the best indication of a significant positive effects of the Ukraine–Russia war on the returns and volatility of the US natural gas futures prices. The cumulative abnormal returns (CARs) of the event study show that the natural gas futures prices reacted negatively but not significantly to the Russian–Ukraine war at the event date window [−1,1] and the [−15, −4] event window. CARs for the longer pre and post-event window display significant positive values and coincides with the standard finance theory for the case of the US natural gas futures over the Russia–Ukraine conflict.Originality/valueThis is the first study to examine the impact of the Russia–Ukraine war on natural gas futures prices in the United States. Thus, it provides indications on the behavior of investors in this market and proposes new empirical evidence that help in investment analyses and decisions.
Investigating the impact of power outages on sustainable community development: exploring the local community’s perception in Pakistan
Authors: Ali Zaigham , Hussain Ammar , Hussain Shahid 
Published: May 2023

PurposeThe purpose of the present study is to investigate the community’s view of power outages and their effect on sustainable community development. This research has three aims. This project will first investigate how a blackout affects a community’s ability to live sustainably.Design/methodology/approachA survey questionnaire was developed that included 22 factors from the literature. The questionnaire was distributed to diversified segments of society from different regions of Pakistan and examined critical factors affecting sustainable community development. A total of 349 (77%) responses were received.FindingsThe study results confirm that power failure negatively affects the sustainable life of a community. This study found that the reduced production of large manufacturing, decrease leisure and comfort, reduced public administrative efficiency, loss of educational opportunities and increased use of traditional energy sources are the most important factors for sustainable community development. Findings also suggest that policymakers and practitioners in public organizations need to ensure that projects are completed in a timely manner to meet growing community needs.Originality/valueThe purpose of this research is to address knowledge gaps related to power outages and sustainable community development. The major impact of power disruptions on communities was previously disregarded in development discourse. Participants in these discussions recognize communities as genuine stakeholders and acknowledge that power outages can have a substantial impact on their economic and social development. However, previous studies have neglected to address this phenomenon.
The impact of procurement digitalization on supply chain resilience: empirical evidence from Finland
Authors: Harju Aleksi , Hallikas Jukka , Immonen Mika , Lintukangas Katrina 
Published: May 2023

Purpose
The purpose of this study is to investigate the role of procurement digitalization in reducing uncertainty in the supply chain (SC) and how it relates to mitigating SC risks and improving SC resilience (SCRES).

Design/methodology/approach
Based on survey data collected from the procurement functions of 147 Finnish firms, this study conceptualizes data analytics, information sharing and procurement process digitalization as drivers of procurement digitalization and investigates their impact on SC risk management and SCRES by using partial least squares path modeling.

Findings
Procurement digitalization through data analytics and digital process maturity requires effective information sharing among SC partners and SC risk management to be able to improve SCRES. Procurement digitalization increases information-processing capacities and reduces uncertainty in the SC.

Originality/value
This study contributes to the understanding on the relationships between procurement digitalization and SCRES.
Validating a surveillance program of invasive mosquitoes based on citizen science in Hungary
Authors: Garamszegi László Zsolt , Kurucz Kornélia , Soltész Zoltán 
Published: May 2023

Abstract

Climate change, intensified tourism and trade activity have resulted in several exotic mosquito species invading the temperate zone, with considerable ecological and economic consequences, as well as threats to human health, due to the pathogen‐transmitting role of these organisms. Accordingly, three invasive mosquito species (Aedes albopictus, Ae. japonicus and Ae. koreicus) have been described in the last decade in Hungary, a Central European country. It is crucial to understand how invasive species are introduced and their distribution is expanded at the country‐level, for which intense surveillance programs are needed.

We have established a citizen science program, in which we asked the public to submit reports on their observations of invasive mosquitoes. During a 3‐year campaign, we collected and taxonomically validated about 3000 reports that can be arranged along both temporal and spatial scales. We aggregated these observations into 35 km2 quadrats and examined if these can be used for reliable scientific inferences.

We first found that the number of validated reports in a quadrat depends on the underlying sampling effort (i.e. number of total reports), but this relationship varies among species and study years. Second, after controlling for study effort, we showed that the prevalence and presence/absence of invasive mosquitoes within quadrats are significantly repeatable among years, but this consistency varies in a species‐specific way. Third, we demonstrated that conclusions about the local presence/absence of focal species based on citizen reports corroborate well the results of direct field sampling with conventional trapping protocols.

Synthesis and applications: We suggest that if the reporting intensity is appropriate (i.e. the number of reports reaches a species‐specific threshold), citizen science results can be used to derive biologically meaningful conclusions about the distribution of invasive mosquitoes in a country. Distribution maps of the three invasive species in Hungary can be used to identify ecological predictors that determine such spatial patterns and also to develop a mosquito control program and assess epidemiological risk.
Association of common BRCA1 variants with predisposition to breast tumors in Pakistan
Authors: Siddique Ayesha , Fatima Warda , Shahid Naeem 
Published: May 2023

AbstractBRCA1 variants are extensively associated with increased risk of breast cancer. Early detection and screening of variants is still rare in developing countries. Here, we investigated six BRCA1 variants in 300 subjects from Pakistani population using tetra amplification‐refractory mutation system (T‐ARMS) PCR. Our results indicate significant association of BRCA1 variants rs8176237 (AA; OR 8.2, 95% CI 3.02–22.64, p < 0.0001), rs1060915 (CC; OR 4.29, 95% CI 1.94–9.48, p = 0.0003), and rs799912 (TT; OR 3.16, 95% CI 1.44–6.94, p = 0.004) with up to 8‐fold increased odds of breast cancer under recessive model. Furthermore, BRCA1 haplotypes AGCACG and AGCCCT were associated with up to 18% breast cancer cases (p < 0.05). Additionally, we found association of these variants with up to 11‐fold increased odds of benign breast tumors. Linkage disequilibrium (LD) block‐wise analysis revealed haplotypes GCAC and ATAC were associated with significantly increased risk. To our knowledge, this is the first study that identifies the association of these BRCA1 variants with breast tumors in Pakistani population. In conclusion, BRCA1 variants investigated in the present study are associated with high odds of benign‐ and malignant breast tumors. Studies with bigger sample size may help early detection and screening to reduce the odds of breast cancer.