bluuebunny/crossref_metadata_2025_split huggingface dataset:
Labor- and cost-effective long-read amplicon sequencing using a plasmid analysis service: Application to transposon-inserted alleles in Japanese morning glory
Authors: Nakagawa Soya , Hoshino Atsushi , Park Kyeung-Il 
Published: September 2024

AbstractThe sequencing of PCR fragments amplified from specific regions of genomes is a fundamental technique in molecular genetics. Sanger sequencing is commonly used for this analysis; however, amplicon sequencing utilizing next-generation sequencing has become widespread. In addition, long-read amplicon sequencing, using Nanopore or PacBio sequencers to analyze long PCR fragments, has emerged, although it is often more expensive than Sanger sequencing.Recently, low-cost commercial services for full-length plasmid DNA sequencing using Nanopore sequencers have been launched in several countries, including Japan. This study explored the potential of these services to sequence long PCR fragments without the need for cloning into plasmid DNA. PCR fragments of 4–11 kb, amplified from theDFR-Bgene involved in the biosynthesis of anthocyanin, with or withoutTpn1transposons in Japanese morning glory (Ipomoea nil), were circularized using T4 ligase and analyzed as templates. Although some inaccuracies in the length of homopolymer stretches were observed, the remaining sequences were obtained without significant errors. This method could potentially reduce the labor and costs associated with cloning, primer synthesis, and sequence assembly, thus making it a viable option for the analysis of long PCR fragment sequences. Moreover, this study reconfirmed thatTpn1transposons are major mutagens inI. niland demonstrated their transposition in the Violet line, a long-used standard in plant physiology.
Population-level control of two manganese oxidases expands the niche for bacterial manganese biomineralization
Authors: Gehin Gaitan , Carraro Nicolas , Roelof van der Meer Jan , Peña Jasquelin 
Published: September 2024

AbstractThe enzymatic oxidation of aqueous divalent manganese (Mn) is a widespread microbial trait that produces reactive Mn(III, IV) oxide minerals. These biominerals drive carbon, nutrient, and trace metal cycles, thus playing important environmental and ecological roles. However, the regulatory mechanisms and physiological functions of Mn biomineralization are unknown. This challenge arises from the common occurrence of multiple Mn oxidases within the same organism and the use of Mn oxides as indicators of combined gene activity. Through detection of gene activation in individual cells, we discover that expression ofmnxGandmcoA, two Mn oxidase-encoding genes inPseudomonas putidaGB-1, is confined to subsets of cells within the population, with each gene showing distinct spatiotemporal patterns that reflect local microenvironments. These coordinated intra-population dynamics control Mn biomineralization and illuminate the strategies used by microbial communities to dictate the extent, location and timing of biogeochemical transformations.
Understanding the regulation of chronic wounds by tissue inhibitors of matrix metalloproteinases through mathematical modelling
Authors: Dari Sonia , O’Dea Reuben D. , Fadai Nabil T. 
Published: September 2024

AbstractUnderstanding the biochemistry and pharmacodynamics of chronic wounds is of key importance, due to the millions of people in the UK affected and the significant cost to the NHS. Chronic wounds are characterised by elevated concentrations of matrix metalloproteinases (MMPs) that destroy the surrounding extracellular matrix (ECM). However, fibroblasts can produce tissue inhibitors of MMPs (TIMPs) in order to regulate wound healing. Therefore, the role of TIMPs in both acute and chronic wounds needs to be properly understood in order to develop therapeutic treatments. In this work, we propose a reaction-diffusion system of four partial differential equations that describe the interaction of the ECM, fibroblasts, MMPs, and TIMPs in a wound. We observe that, subject to biologically realistic parameter values, this mathematical model gives rise to travelling wave solutions. Using bifurcation analysis, we demonstrate that deregulated apoptosis in the ECM results in the emergence of chronic wounds, and the reversal of these chronic wounds is prohibited for lower TIMP production values. These results are replicated within a simplified model obtained via a parameter sensitivity analysis. This model is further extended to more realistic spatial domains where we demonstrate the effectiveness of a therapeutic hydrogel containing TIMPs as a treatment for chronic wounds.
Cytoophidium complexes resonate with cell fates
Authors: Li Yi-Lan , Liu Ji-Long 
Published: September 2024

ABSTRACTMetabolism is a fundamental characteristic of life. In 2010, we discovered that the metabolic enzyme CTP synthase (CTPS) can assemble a snake like structure inside cells, which we call the cytoophidium. Including CTPS, an increasing number of metabolic enzymes have been found to form cytoophidia in cells. However, the distribution and relationship among cytoophidia formed by different metabolic enzymes remain elusive. Here we investigate five metabolic enzymes that can form cytoophidia, namely Asn1, Bna5, CTPS (ie. Ura7), Glt1, and Prs5 inSaccharomyces cerevisiae. We find that multiple cytoophidia can be assembled into cytoophidium complexes by docking one after another. Glt1 cytoophidia tend to assemble in non-quiescent cells, while CTPS cytoophidia are more abundant in quiescent cells and form complexes with Prs5 and Asn1 cytoophidia. Blocking CTPS cytoophidium assembly can lead to a non-quiescent phenotype and increase the assembly of Glt1 cytoophidia, Bna5 cytoophidia, and cytoophidium complexes. Blocking CTPS cytoophidium assembly also inhibits the NAD biosynthesis pathway, which includes Bna5 and Sir2. Consistent with this result, the non-quiescent phenotype caused by blocking CTPS cytoophidium assembly can be rescued by blocking Glt1 cytoophidium assembly, supplementing nicotinic acid, or overexpressing Sir2. Our results indicate that the assembly of cytoophidium complexes with different compositions resonates with distinct cell fates.Abstract FigureHIGHLIGHTSMultiple cytoophidia can be assembled into cytoophidium complexes by docking one after another.CTPS cytoophidia blockage impedes quiescence and boosts Glt1-Bna5 cytoophidium complex.Glt1 cytoophidium blockage restores quiescence and Bna5 inhibition in NAD pathway.Activating NAD utilizing SIR2 rescues CTPS cytoophidium blockage induced non-quiescence.
Enhancing precision in table tennis officiating through an optimized autonomous sensor node system
Authors: Sun Chenyang , Khishe Mohammad 
Published: September 2024

PurposeThe purpose of the study is to address concerns regarding the subjectivity and imprecision of decision-making in table tennis refereeing by developing and enhancing a sensor node system. This system is designed to accurately detect the points on the table tennis table where balls collide. The study introduces the twined-reinforcement chimp optimization (TRCO) framework, which combines two novel approaches to optimize the distribution of sensor nodes. The main goal is to reduce the number of sensor units required while maintaining high accuracy in determining the locations of ball collisions, with error margins significantly below the critical 3.5 mm cutoff. Through complex optimization procedures, the study aims to improve the efficiency and reliability of decision-making in table tennis refereeing by leveraging sensor technology.Design/methodology/approachThe study employs a design methodology focused on developing a sensor array system to enhance decision-making in table tennis refereeing. It introduces the twined-reinforcement chimp optimization (TRCO) framework, combining dual adaptive weighting strategies and a stochastic approach for optimization. By meticulously engineering the sensor array and utilizing complex optimization procedures, the study aims to improve the accuracy of detecting ball collisions on the table tennis table. The methodology aims to reduce the number of sensor units required while maintaining high precision, ultimately enhancing the reliability of decision-making in the sport.FindingsThe optimization research study yielded promising outcomes, showcasing a substantial reduction in the number of sensor units required from the initial count of 60 to a more practical 49. The sensor array system demonstrated excellent accuracy in identifying the locations of ball collisions, with error margins significantly below the critical 3.5 mm cutoff. Through the implementation of the twined-reinforcement chimp optimization (TRCO) framework, which integrates dual adaptive weighting strategies and a stochastic approach, the study achieved its goal of enhancing the efficiency and reliability of decision-making in table tennis refereeing.Originality/valueThis study introduces novel contributions to the field of table tennis refereeing by pioneering the development and optimization of a sensor array system. The innovative twined-reinforcement chimp optimization (TRCO) framework, integrating dual adaptive weighting strategies and a stochastic approach, sets a new standard for sensor node distribution in sports technology. By substantially reducing the number of sensor units required while maintaining high accuracy in detecting ball collisions, this research offers practical solutions to address the inherent subjectivity and imprecision in decision-making processes. The study’s originality lies in its meticulous design methodology and complex optimization procedures, offering significant value to the field of sports technology and officiating.
Big data analytics in the AEC industry: scientometric review and synthesis of research activities
Authors: Ohene Eric , Nani Gabriel , Antwi-Afari Maxwell Fordjour , Darko Amos , Addai Lydia Agyapomaa , Horvey Edem 
Published: September 2024

PurposeUnlocking the potential of Big Data Analytics (BDA) has proven to be a transformative factor for the Architecture, Engineering and Construction (AEC) industry. This has prompted researchers to focus attention on BDA in the AEC industry (BDA-in-AECI) in recent years, leading to a proliferation of relevant research. However, an in-depth exploration of the literature on BDA-in-AECI remains scarce. As a result, this study seeks to systematically explore the state-of-the-art review on BDA-in-AECI and identify research trends and gaps in knowledge to guide future research.Design/methodology/approachThis state-of-the-art review was conducted using a mixed-method systematic review. Relevant publications were retrieved from Scopus and then subjected to inclusion and exclusion criteria. A quantitative bibliometric analysis was conducted using VOSviewer software and Gephi to reveal the status quo of research in the domain. A further qualitative analysis was performed on carefully screened articles. Based on this mixed-method systematic review, knowledge gaps were identified and future research agendas of BDA-in-AECI were proposed.FindingsThe results show that BDA has been adopted to support AEC decision-making, safety and risk assessment, structural health monitoring, damage detection, waste management, project management and facilities management. BDA also plays a major role in achieving construction 4.0 and Industry 4.0. The study further revealed that data mining, cloud computing, predictive analytics, machine learning and artificial intelligence methods, such as deep learning, natural language processing and computer vision, are the key methods used for BDA-in-AECI. Moreover, several data acquisition platforms and technologies were identified, including building information modeling, Internet of Things (IoT), social networking and blockchain. Further studies are needed to examine the synergies between BDA and AI, BDA and Digital twin and BDA and blockchain in the AEC industry.Originality/valueThe study contributes to the BDA-in-AECI body of knowledge by providing a comprehensive scope of understanding and revealing areas for future research directions beneficial to the stakeholders in the AEC industry.
Themes and readability of integrated reports of banks from a circular economy perspective
Authors: Keski̇n Halit , Esen Emel 
Published: September 2024

PurposeThis study examines the themes present in circular economy disclosures that are published in the integrated reports of banks and analyzes their readability scores.Design/methodology/approachFrom 2016 to 2022, a comparative analysis of the integrated reports from six publicly listed Turkish banks that are significant global players was conducted. A total of 21 reports were analyzed, for readability scores and their environmental disclosures from a circular economy perspective were calculated using textual and sentiment analysis techniques.FindingsThe findings of this study underscore the significant involvement of banks in key areas of the circular economy, such as waste management, renewable energy, emission reduction and sustainable financing. Moreover, the study also reveals that the readability of environmental disclosures in the analyzed integrated reports was generally low, suggesting that the information presented may challenge stakeholders and decision-makers and prevent full comprehension, thereby potentially impeding the most effective engagement by stakeholders with circular economy initiatives.Originality/valueThis study introduces a new approach to circular economy reporting by exploring the application of data analytics models when assessing readability within environmental disclosures. It specifically focuses on the context of integrated reporting within the banking sector, an area that has not yet been extensively explored. The study further underscores the importance of clear and concise communication when engaging stakeholders in circular economy efforts. The implications of this research for the banking and environmental sectors thus make this study a valuable addition to the existing literature.
Optimization model to grasp cutting pieces of fabric layer by layer by soft gripper
Authors: Su Junqiang , Ren Yawei , Jin Guoqing , Wang Nan 
Published: September 2024

PurposeTo setup a theoretical model for grasping cutting pieces of garment better, which will help to design a special soft gripper and push forward the automated level of garment manufacturing.Design/methodology/approachThis paper first analyzed the mechanics of the grasping process and concluded the main factors that affect the success of grasping. A theoretical model named grasping fabric model (GFM) was constructed to show the mechanical relationship between the soft gripper and the fabric pieces. Subsequently, two fabric samples were selected and tested for their friction properties and critical buckling force, and the test data were substituted into the theoretical model GFM to obtain the grasping parameters required for fabric grasping layer by layer.FindingsIt was found that (1) the critical buckling force of the fabric is mainly influenced by the bending stiffness and the deformation length of the fabric during grab. (2) The difference between the friction between the soft gripper and the fabric and the friction between the fabric, that is DF1-2, has an important influence on the accuracy of grasping layer-by-layer.Originality/valueIt showed that the grasping parameters provided by GFM enable the two samples to be more effectively separated layer by layer, which verifies that the GFM model is strong enough for the possible application in garment automated production.
Evaluation of cylinder liner surfaces from a heavy-duty diesel engine run in dynamometer bench test with hBN as nano additive in the lubricant
Authors: Santos Pedro , Sinatora Amilton , Souza Roberto 
Published: September 2024

Purpose
Given the current challenges for improving the tribological behavior in automotive engines, which require lubricants that adapt to different operating conditions through replacement mechanisms to reduce friction and wear, this study aims to analyze the use of hexagonal boron nitride nanoparticles blended in the lubricating oil of a diesel engine. The target was to minimize frictional power losses and wear of cylinder liner surfaces to validate what was observed in laboratory and to confirm improvements in thermal efficiency.

Design/methodology/approach
Before the definition of the concentration to be used in a real engine environment, tests of sample dispersion were conducted using an ultrasound bath. The mixtures were added to storage bottles in concentrations of 0.1% and 0.5%, as observed in Figure 1. The samples were subsequently analyzed using the dynamic light scattering (DLS) technique. There was a reduction in the hydrodynamic size for the sample with 0.5% of hexagonal boron nitride (hBN), possibly due to sedimentation of the powder during the analysis, which supported this work to continue with the use of 0.1% concentration.

Findings
The behavior of hBN as nano additive in a real diesel engine was problematic when compared with laboratory environment, leading to impact in oil temperature. In addition, it was noticed a high amount of deposit formation at the top dead center (TDC) and mid-stroke (MC) and nonsignificative wear at MC and bottom dead center (BDC) of the cylinder, with unusual formation of products from antiwear additives known as zinc dialkyl-dithiophosphate at MC position with the use of hBN. For this reason, this work provides insights into how hBN nanoparticles may not contribute toward the improvement of tribological performance.

Originality/value
The findings of this work aimed to provide a better understanding of the impact of hBN nanoparticles used as additives in real engine environment in terms of performance and tribological impacts. The results of this work indicated that hBN as additive gave poor results in terms of performance and wear prevention.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0047/
Taking action to reduce board-level information asymmetry: the adoption of enterprise information systems
Authors: Niu Jiping , Ozdemir Salih Zeki , Kim Young Un 
Published: September 2024

Purpose The timeliness and quality of information provided to board members are crucial for them to effectively monitor and advise a firm. This study examines the influence of board composition and structure on (1) the board’s actions to mitigate the information asymmetry problem by implementing enterprise information systems (EIS) and (2) the board of directors’ awareness of information asymmetry, their perception of its causes and their efforts to address it.Design/methodology/approach Our research employs a mixed-methods approach. First, using data from 115 publicly listed Chinese companies, we empirically assess the likelihood of top-level EIS modules adoption at the firm level. Subsequently, through 23 semi-structured interviews, we aim to gain deeper insights into the behavioral motivations behind directors’ attempts to reduce information asymmetry.Findings The study reveals that boards with a higher number of independent directors or with a strategy committee – indicative of a greater concern regarding information asymmetry problems – are more inclined to adopt top-level EIS modules. Additionally, we identify three primary sources of information asymmetry that directors consider significant in prompting the adoption of top-level EIS modules to alleviate perceived information asymmetry.Originality/value This study contributes to both the corporate governance and information systems literature. The implementation and utilization of EIS at the board level have not been extensively explored previously. Moreover, while the issue of information asymmetry at the board level is recognized as a critical governance challenge, the ways in which directors perceive and address this issue remain largely unknown. Our research seeks to illuminate this relatively less-explored area.
Brokering school improvement through a school–university partnership: a longitudinal social network analysis of middle leadership development
Authors: Bryant Darren A. , Ho Chun Sing Maxwell , Lu Jiafang , Wong Yiu Lun Leo 
Published: September 2024

PurposeThis study addresses a gap in the knowledge on how longitudinal engagement in a school improvement initiative influences change in middle leaders’ (MLs') interactions and assesses how school–university partnerships around school improvement can support teachers with formal leadership roles (i.e. MLs’) leadership development.Design/methodology/approachUsing a two-year longitudinal research design, university staff facilitated middle leadership training in a school-defined improvement initiative on lesson study. Results from a pre-test followed by two post-tests administered at one-year intervals were collected on social networks. Analyses examined changes in indegree and brokerage patterns among groupings of senior leaders (SL), subject leaders, cross-school specialists and teachers.FindingsAccounting for staffing changes, 27 of 67 staff members participated in each survey, yielding 1,623 distinct ties connecting school members. Over the first year, advice-seeking increased by 225%. SLs’ initial propensity to consult peers shifted towards MLs and teachers. Subject leaders advising other leaders and teachers increased tenfold. Teachers’ peer-to-peer consultation increased by 2,000%. Specialists with school-wide responsibilities became the dominant group for advising other leaders, such as SLs and subject leaders. These shifts were sustained over the second year.Originality/valueThe study demonstrates that engagement in the school–university partnership support and the corresponding structural changes stimulated robust cross-school dialogue among teachers and various leaders. Brokerage patterns indicated an enhanced role for MLs in driving the school-defined improvement initiative which corresponded to university-designed development activities.
Adapting a school improvement partnership before and during COVID-19: a case study of the resilience of improvement science to complexity
Authors: Viano Samantha , Yurkofsky Maxwell M. 
Published: September 2024

PurposeImprovement science (IS) has become a popular approach to organizing school–university partnerships because of IS’s potential to increase schools' capacity for sustainable improvement. However, little research has directly examined whether and how specific elements of IS support school improvement, particularly during and post-COVID-19 when improvement was particularly challenging.Design/methodology/approachWe draw on a longitudinal case study of a school-university partnership supporting a group of schools using IS to guide school improvement with data collected in Fall 2019–Spring 2022 including interviews and meeting observations. We compare how educators engaged with three IS elements: plan-do-study-act (PDSA) continuous improvement (CI) cycles, networked learning and driver diagrams. We qualitatively examine participants' perspectives of these elements through the lens of contingency theory, analyzing which elements were more or less successful at empowering schools to continue their improvement efforts throughout the pandemic.FindingsIS processes are varied in their resilience to complexity. Schools mostly abandoned some elements during tumultuous periods (PDSA cycles) while others were successfully adapted to sustain improvement work (driver diagrams). Findings also discuss the perceived impact of university partners in school improvement work, primarily as coaches.Originality/valueThese findings are uniquely positioned to examine whether and how IS elements enabled sustained school improvement amidst the complexities generated by COVID-19. By focusing on strengths and limitations of three common elements, we offer valuable guidance to school–university partnerships about the conditions under which these elements might support sustained school improvement and how these elements might need to be adapted.