bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep quantitative glycoproteomics reveals gut microbiome induced remodeling of the brain glycoproteome
Authors: Potel Clément M , Burtscher Mira Lea , Garrido-Rodriguez Martin , Brauer-Nikonow Amber , Becher Isabelle , Typas Athanasios , Zimmermann Michael , Savitski Mikhail M 
Published: September 2023

AbstractHighlightsHigh throughput glycoproteomics method with multiplexed quantification25-fold improvement of the mouse brain glycoproteome coverageStructural features dictate level of glycosite micro-heterogeneityGut microbiome composition extensively impacts the brain glycoproteomeModulation of glycosylation is site-specificProtein glycosylation is a highly diverse post-translational modification, modulating key cellular processes such as cell signaling, adhesion and cell-cell interactions. Its deregulation has been associated with various pathologies, including cancer and neurological diseases. Methods capable of quantifying glycosylation dynamics are essential to start unraveling the biological functions of protein glycosylation. Here we present Deep Quantitative Glycoprofiling (DQGlyco), a method that combines high-throughput sample preparation, high-sensitivity detection, and precise multiplexed quantification of protein glycosylation. We used DQGlyco to profile the mouse brain glycoproteome, in which we identify 158,972 and 15,056 unique N- and O-glycopeptides localized on 3,199 and 2,365 glycoproteins, respectively - this amounts to 25-fold more glycopeptides identified compared to previous studies. We observed extensive heterogeneity of glycoforms and determined their functional and structural preferences. The presence of a defined gut microbiota resulted in extensive remodeling of the brain glycoproteome when compared to that of germ-free animals, exemplifying how the gut microbiome may affect brain protein functions.
Structure and dynamics of the contractile vacuole complex inTetrahymena thermophila
Authors: Cheng Chao-Yin , Romero Daniel P. , Zoltner Martin , Yao Meng-Chao , Turkewitz Aaron P. 
Published: September 2023

AbstractThe contractile vacuole complex (CVC) is a dynamic and morphologically complex membrane organelle, comprised of a large vesicle (bladder) linked with a tubular reticulum (spongiome). CVCs provide key osmoregulatory roles across diverse eukaryotic lineages, but probing the mechanisms underlying the structure and function is hampered by the limited tools available forin vivoanalysis. In the experimentally tractable ciliateTetrahymena thermophila, we describe four proteins that, as endogenously tagged constructs, localize specifically to distinct CVC zones. The DOPEY homolog Dop1p and the CORVET subunit Vps8Dp localize both to the bladder and spongiome but with different local distributions that are sensitive to osmotic perturbation, while the lipid scramblase Scr7p co-localizes with Vps8Dp. The H+- ATPase subunit Vma4 is spongiome-specific. The live imaging permitted by these probes revealed dynamics at multiple scales including rapid exchange of CVC-localized and soluble protein pools vs. lateral diffusion in the spongiome, spongiome extension and branching, and CVC formation during mitosis. While the association withDOP1andVPS8Dimplicate the CVC in endosomal trafficking, both the bladder and spongiome are isolated from bulk endocytic input.Summary statementIn the ciliateTetrahymena thermophila, four proteins are shown to provide markers for different zones of the contractile vacuole complex. They shed light on its formation and maintenance by enablingin vivoanalysis of its dynamics.
Flexibility of tandem leaders resolves traffic jams during colony relocation in an ant
Authors: Pathak Manish Kumar , Annagiri Sumana 
Published: September 2023

AbstractAnts, renowned for their intricate social behaviors, exhibit remarkable collective movement patterns that enable them to forage and tunnel efficiently. Despite significant research into their navigation skills and traffic avoidance mechanisms mostly in the context of central-place foraging, the dynamics of bi-directional movement during colony relocation remains an underexplored domain. This study delves into the behavior ofDiacamma indicum, an ant species, that recruits by tandem running during the relocation of their nest. Our findings reveal that constricted pathway linking the old and new nests lead to frequent interruptions and traffic jams, and this significantly extended transportation durations when compared to control. Through analysis of 56 traffic jam instances, we unveil the adaptability of tandem leaders. Their decisions on recruiting followers midway and adjusting heading directions amalgamates into emergent mass orientation towards the new nest acting as critical factors in untangling the traffic jam. This study not only illuminates the intricacies of collective ant movement during nest relocation but also unveils insights into the mechanisms that underscore their exceptional traffic jam mitigation abilities. By addressing this uncharted aspect of ant behavior, we contribute to a broader comprehension of the remarkable strategies these superorganisms employ to navigate complex environments.
How did polycentric spatial structure affect carbon emissions of the construction industry? A case study of 10 Chinese urban clusters
Authors: Wang Yousong , Shi Guolin , Zhang Yangbing 
Published: September 2023

PurposeDue to the close connection between urban cluster and carbon emissions (CEs) but a lack of study on it of the construction industry, this paper aims to explore the relationship between the polycentric spatial structure (PSS) of the urban clusters and CEs of the construction industry (CECI).Design/methodology/approachThis research uses panel data of 10 Chinese urban clusters from 2006–2021, calculates their PSSs in the aspects of economy and employment and adopts a panel regression model to explore the effect of the spatiotemporal characteristics of the PSSs on the CECI.FindingsFirst, the CECI in 10 Chinese urban clusters showed a rising trend in general, and the CECI in the Yangtze River Delta (YRD) was much higher than those in the rest of urban clusters. Second, both Shandong Peninsula (SP) and Guangdong-Fujian-Zhejiang (GFZ) exhibited high degrees of polycentric characteristics, while Beijing-Tianjin-Hebei (BTH) showed weaker degrees. Third, the results demonstrated that the polycentric development of urban clusters did not help reduce the CECI but rather promote the CE. The polycentric index, considering the linear distance from the main center to sub center, had a more significant impact on the CECI.Originality/valuePrevious studies have investigated the impact of urban spatial structure (USS) on CEs; however, few of them have studied in the field of construction industry. Moreover, most research of CEs have concentrated at the national and provincial levels, with fewer studies on urban clusters. This paper contributes to this knowledge by investigating how the PSS of urban cluster influence the CECI.
Assessment of university archives management practices
Authors: Bajwa Muhammad Suleman , Rafiq Muhammad 
Published: September 2023

Purpose
Archives and records are important resources for individuals, organizations and the country. The academic archives are created and maintained for the effective execution of university educational and corporate functions. The archives management practices in universities are being studied in the developed countries; however, a scarcity of empirical research is observed in the context of developing countries, for instance, Pakistan. Thus, the purpose of this study is to assess the archives management practices performed in the archival units of University of the Punjab (UoP), Lahore, in association with the successful execution of university educational functions.

Design/methodology/approach
A structured survey questionnaire was developed to collect responses from the record-keepers and archives monitoring staff using a complete enumerative (census) approach. The collected data were analyzed in SPSS 23.0 in addition to structural equation modeling (SEM) run in AMOS 22v.

Findings
The findings of this study revealed an inconsistency regarding the policies and procedures, arrangement and filing records and access and retrieval due to the practice of self-developed procedures in the UoP archival units. Although archives management practices have significant impact on university academic as well as research-related functions, however, there is lack of centralized and standardized practices for archiving records in the UoP. Lack of professional/trained staff and policy document are key limitations in building systematic and standardized archives management system in academic intuitions, particularly in the UoP.

Originality/value
To the best of the authors’ knowledge, this is the first empirical study in Pakistan that has explored archives management practices used in university archives. It also contributes theoretically and methodologically through the underpinnings of archival principles in association with university functions and developing a validated scale to explore archives management practices in universities. The findings of this study may be helpful for the concerned bodies, university administrations and archives managers to establish, manage and improve the academic archives systematically.
Investigation of system transient availability under imperfect maintenance
Authors: Alaswad Suzan , Salman Sinan 
Published: September 2023

PurposeWhile steady-state analysis is useful, it does not consider the inherent transient characteristics of repairable systems' behavior, especially in systems that have relatively short life spans, or when their transient behavior is of special concern such as the motivating example used in this paper, military systems. Therefore, a maintenance policy that considers both transient and steady-state availability and aims to achieve the best trade-off between high steady-state availability and rapid stabilization is essential.Design/methodology/approachThis paper studies the transient behavior of system availability under the Kijima Type II virtual age model. While such systems achieve steady-state availability, and it has been proved that deploying preventive maintenance (PM) can significantly improve its steady-state availability, this improvement often comes at the price of longer and increased fluctuating transient behavior, which affects overall system performance. The authors present a methodology that identifies the optimal PM policy that achieves the best trade-off between high steady-state availability and rapid stabilization based on cost-availability analysis.FindingsWhen the proposed simulation-based optimization and cost analysis methodology is applied to the motivating example, it produces an optimal PM policy that achieves an availability–variability balance between transient and steady-state system behaviors. The optimal PM policy produces a notably lower availability coefficient of variation (by 11.5%), while at the same time suffering a negligible limiting availability loss of only 0.3%. The new optimal PM policy also provides cost savings of about 5% in total maintenance cost. The performed sensitivity analysis shows that the system's optimal maintenance cost is sensitive to the repair time, the shape parameter of the Weibull distribution and the downtime cost, but is robust with respect to changes in the remaining parameters.Originality/valueMost of the current maintenance models emphasize the steady-state behavior of availability and neglect its transient behavior. For some systems, using steady-state availability as the sole metric for performance is not adequate, especially in systems that have relatively short life spans or when their transient behavior affects the overall performance. However, little work has been done on the transient analysis of such systems. In this paper, the authors aim to fill this gap by emphasizing such systems and applications where transient behavior is of critical importance to efficiently optimize system performance. The authors use military systems as a motivating example.
Once upon a time: using brand stories to sell signature sneakers
Authors: Williams Antonio , Heo Yoon 
Published: September 2023

PurposeStorytelling has long been a popular strategy in marketing. Despite its ubiquity, the influence of storytelling in the sport marketing literature has not been investigated, especially on consumers' perspective. Thus, the purpose of this study is to (a) examine the effect of storytelling on sport consumers, and (b) explore the moderation effect of product involvement on the relationship between storytelling and purchase intention of a signature sneaker.Design/methodology/approachTwo experiments using 3 (storytelling: bullet-point type vs. athlete-based story vs. product-based story) × 2 (product involvement: low vs. high) between-subjects experimental design were conducted.FindingsThe main finding illustrates that both the athlete-based story and the product-based story had a stronger influence on a consumer's purchase intention than the information that was given in a bullet-point condition. This study provides a theoretical implication of storytelling strategy for sport marketing literature. From a managerial perspective, the authors heavily recommend the use of storytelling in sport product advertisements.Originality/valuePrevious literature has highlighted the effect of storytelling in sports organization such as professional sports team or utilization in social media. However, limited studies could be found in the sports product industry and consumer behavior sector. Thus, the current study has a significant value of understanding the storytelling strategy in the perspective of sports consumers as well as brand marketers.
Supply chain efficiency and relation with the firm performance: a study of the food processing sector in India
Authors: Maini Nitin , Dharni Khushdeep , Rathore Rakesh 
Published: September 2023

PurposeThis study investigates the supply chain efficiency of selected companies in the Indian food processing sector. Additionally, it explores the relationship between supply chain efficiency and firm performance.Design/methodology/approachTo determine the supply chain efficiency, the study uses supply chain efficiency measures, such as supply chain length, inefficiency ratio and working capital productivity. Secondary data were collected from the Center for Monitoring Indian Economy (CMIE) Prowess database for the years 2011–2017. Various return measures, such as Return on Net Worth (RONW), Return on Total Assets (ROTA) and Return on Capital Employed (ROCE), were used to measure firm performance. Collected data were analyzed to investigate the relationship between supply chain efficiency and firm performance.FindingsFindings of the study reveal the prevalence of inefficient supply chains in the context of the selected companies. There is a significant negative correlation between supply chain efficiency and firm performance. RONW has a significant negative correlation with the length of supply chain as well as supply chain inefficiency.Research limitations/implicationsThis study expands the limited existing research perspective; the study helps to understand the supply chain efficiency and firm performance.Originality/valueThis is an original piece of work and provides valuable insight into the relationship between supply chain efficiency and firm performance.
A novel approach to screening patents for securitization: a machine learning-based predictive analysis of high-quality basic asset
Authors: Liu Cheng , Shi Yi , Xie Wenjing , Bao Xinzhong 
Published: September 2023

PurposeThis paper aims to provide a complete analysis framework and prediction method for the construction of the patent securitization (PS) basic asset pool.Design/methodology/approachThis paper proposes an integrated classification method based on genetic algorithm and random forest algorithm. First, comprehensively consider the patent value evaluation model and SME credit evaluation model, determine 17 indicators to measure the patent value and SME credit; Secondly, establish the classification label of high-quality basic assets; Then, genetic algorithm and random forest model are used to predict and screen high-quality basic assets; Finally, the performance of the model is evaluated.FindingsThe machine learning model proposed in this study is mainly used to solve the screening problem of high-quality patents that constitute the underlying asset pool of PS. The empirical research shows that the integrated classification method based on genetic algorithm and random forest has good performance and prediction accuracy, and is superior to the single method that constitutes it.Originality/valueThe main contributions of the article are twofold: firstly, the machine learning model proposed in this article determines the standards for high-quality basic assets; Secondly, this article addresses the screening issue of basic assets in PS.
A review on energy efficiency in autonomous mobile robots
Authors: Wu Mingyu , Yeong Che Fai , Su Eileen Lee Ming , Holderbaum William , Yang Chenguang 
Published: September 2023

Purpose
This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption models, energy-efficient locomotion, hardware energy consumption, optimization in path planning and scheduling methods, and to suggest future research directions.

Design/methodology/approach
The systematic literature review (SLR) identified 244 papers for analysis. Research articles published from 2010 onwards were searched in databases including Google Scholar, ScienceDirect and Scopus using keywords and search criteria related to energy and power management in various robotic systems.

Findings
The review highlights the following key findings: batteries are the primary energy source for AMRs, with advances in battery management systems enhancing efficiency; hybrid models offer superior accuracy and robustness; locomotion contributes over 50% of a mobile robot’s total energy consumption, emphasizing the need for optimized control methods; factors such as the center of mass impact AMR energy consumption; path planning algorithms and scheduling methods are essential for energy optimization, with algorithm choice depending on specific requirements and constraints.

Research limitations/implications
The review concentrates on wheeled robots, excluding walking ones. Future work should improve consumption models, explore optimization methods, examine artificial intelligence/machine learning roles and assess energy efficiency trade-offs.

Originality/value
This paper provides a comprehensive analysis of energy efficiency in AMRs, highlighting the key findings from the SLR and suggests future research directions for further advancements in this field.
Aligning governance, brand governance and social media strategies for improved organizational performance: a qualitative comparative analysis of national sport organizations
Authors: Lefebvre Arthur , Parent Milena M. , Taks Marijke , Naraine Michael L. , Séguin Benoit , Hoye Russell 
Published: September 2023

PurposeThis paper aims to explore the potential configurations of governance, brand governance and social media strategies leading to effective organizational performance.Design/methodology/approachA fuzzy-set Qualitative Comparative Analysis including 28 Canadian national sport organizations (NSOs) and six conditions highlighted two sufficient configurations for effective organizational performance, defined as either budget per capita or athlete numbers.FindingsAlthough no single component of governance, brand governance, or social media strategy is necessary to succeed overall, brand reputation and the strategic use of social media to communicate NSO identity were common to both identified configurations. Accountability was important for effective organizational performance in terms of budget per capita, while transparency was more important for higher athlete numbers. Thus, condition specificity is paramount in non-profit organizations that often have multiple objectives.Originality/valueThis study provides substantial theoretical and managerial implications, including the need to integrate brand governance and social media in non-profit organizations' overall governance activities.
Beyond the state’s reach? Education and citizen making in China
Authors: Zhao Zhenzhou , Wang Canglong 
Published: September 2023

Purpose
This special issue aims to address the complexities and dynamics in contemporary China’s citizen-making processes, with a focus on the educational dimension.

Design/methodology/approach
The four articles in this special issue present citizen-making processes in both educational and cultural arenas. Based on the rich, first-hand data collected inside and outside China, the researchers revealed the dynamics of the educative processes, as the interplay of different mechanisms produces new understandings of citizenship practice.

Findings
This special issue sheds light on the rise of new types of citizens, who are emerging at the grassroots level in China, beyond the state’s strict direct regulations, along with the rise of market forces and multicultural communities in Chinese society today. Contributors to this special issue have captured an ongoing change, in that the diversified citizen-making mechanisms are, to a certain extent, mitigating the party-state’s definitive monopoly on forging citizens and are creating new spaces for individuals to develop fresh forms of political subjectivity and citizenship practice. In this sense, we argue for the unpacking of the citizen-making processes in present-day China not only from the lens of state-dominated, top-down initiatives but also from that of participatory, bottom-up initiatives performed by grassroots groups with differentiated socio-economic statuses and cultural traditions.

Originality/value
This special issue can be regarded as a contribution to the growing field of Chinese citizenship studies, which constitutes an integral part of the unfinished project of citizenship after orientalism.
Sea‐weeding: Manual removal of macroalgae facilitates rapid coral recovery
Authors: Smith Hillary A. , Fulton Stella E. , McLeod Ian M. , Page Cathie A. , Bourne David G. 
Published: September 2023

Abstract

Coral reef ecosystems globally are under threat, leading to declining coral cover and macroalgal proliferation. Manually removing macroalgae (i.e. ‘sea‐weeding’) may promote local‐scale coral recovery by reducing a biological barrier, though the impact of removal on community composition of benthic reef organisms has not been quantified.

In this three‐year study (2018–2021), fleshy macroalgae (predominantly Sargassum spp.) were periodically removed from 25 m2 experimental plots on two inshore fringing reefs of Yunbenun (Magnetic Island) in the central Great Barrier Reef.

By the end of the study, coral cover in removal plots (n = 12 plots) assessed through in‐field transects increased by at least 47% (2019 mean: 25.5%, 2021 mean: 37.4%), and macroalgal cover decreased by more than half. In contrast, in control plots (n = 12 plots), there was no change in macroalgal cover while coral cover remained stable (2019 mean: 16.4%, 2021 mean: 13.6%).

Changes in benthic cover were supported by photoquadrat data, with Bayesian probability modelling indicating a 100% likelihood that coral cover more than doubled in removal plots over the study period, compared to only a 29% chance of increased coral cover in control plots.

Synthesis and applications. Manual macroalgal removal can provide rapid benefits and enhance inshore coral reef recovery. Through involvement of community groups and citizen scientists, larger scale removal of macroalgae is a low‐tech, high‐impact, and achievable method for local reef management.