bluuebunny/crossref_metadata_2025_split huggingface dataset:
PRC2 direct transfer from G-quadruplex RNA to dsDNA: Implications for RNA-binding chromatin modifiers
Authors: Hemphill Wayne O. , Fenske Regan , Gooding Anne R. , Cech Thomas R. 
Published: December 2022

AbstractThe chromatin-modifying enzyme, Polycomb Repressive Complex 2 (PRC2), deposits the H3K27me3 epigenetic mark to negatively regulate expression at numerous target genes, and this activity has been implicated in embryonic development, cell differentiation, and various cancers. A biological role for RNA binding in regulating PRC2 histone methyltransferase activity is generally accepted, but the nature and mechanism of this relationship remains an area of active investigation. Notably, manyin vitrostudies demonstrate that RNA inhibits PRC2 activity on nucleosomes through mutually antagonistic binding, while somein vivostudies indicate that PRC2’s RNA-binding activity is critical for facilitating its biological function(s). Here we use biochemical, biophysical, and computational approaches to interrogate PRC2’s RNA and DNA binding kinetics. Our findings demonstrate that PRC2-polynucleotide dissociation rates are dependent on the concentration of free ligand, indicating the potential for direct transfer between ligands without a free-enzyme intermediate. Direct transfer explains the variation in dissociation kinetics reported previously, allows reconciliation of priorin vitroandin vivostudies, and expands the potential mechanisms of RNA-mediated PRC2 regulation. Moreover, simulations indicate that such a direct transfer mechanism could be obligatory for RNA to recruit proteins to chromatin.SignificanceStudies of PRC2in vitroindicate that RNA inhibits its histone methyltransferase (HMTase) activity through mutually antagonistic binding with nucleosomes, but somein vivostudies paradoxically suggest that RNA binding is necessary to facilitate chromatin occupancy and HMTase activity. Our findings unveil a protein-intrinsic mechanism for directly exchanging RNA and DNA/nucleosome in PRC2’s binding site(s), which reconciles these prior findings by allowing antagonistic or synergistic RNA-mediated regulation dependent on RNA-nucleosome proximity. Furthermore, there is an increasing awareness that multiple chromatin-associated proteins exhibit regulatory RNA binding activity, and our findings indicate this “direct transfer” mechanism may be generally required for such regulation.
Effect of institutional support and entrepreneurial knowledge on women’s entrepreneurial self-efficacy and venture performance in a developing country
Authors: Abdelwahed Nadia A. Abdelmegeed , Soomro Bahadur Ali , Shah Naimatullah , Saraih Ummi Naiemah 
Published: December 2022

Purpose
Women’s entrepreneurship has become an essential movement in developing economies and is accepted in all working areas. This study aims to propose the effect of institutional support (IS) and entrepreneurial knowledge (ENK) on women’s entrepreneurial self-efficacy (WESE) and venture performance (VP) in a developing country, namely, Pakistan.

Design/methodology/approach
The constructive theoretical framework comprises of an extensive review of current literature. In this study, the researchers used a deductive approach that used cross-sectional data collected through women entrepreneurs completing a questionnaire. Consequently, this study comprised 324 usable samples.

Findings
The structural equation model reveals that formal institutional support (FIS), informal institutional support (IFIS) and ENK have a positive and significant effect on WESE that is concerned with the VP. Finally, WESE is a potent construct that mediates the association between FIS, IFIS, ENK and VP.

Practical implications
This study’s findings provide policymakers and government with guidance so that, by providing entrepreneurship and technical courses to develop more entrepreneurial self-efficacy, they focus more on women’s entrepreneurship. Ultimately, this improves VP. Finally, this study’s findings would provide guidelines for allocating financial assistance or funds for women. By using these funds, they can start their businesses to tackle miserable conditions, i.e. poverty and unemployment.

Originality/value
This study’s findings help to support the creation of self-employment opportunities and starting a business to improve well-being and socioeconomic conditions.
Wettability surface and friction characterisation of ZrO2 ceramics by femtosecond laser texturing
Authors: Yang Qibiao , You Yunhan , Cheng Bojin , Chen Lie , Cheng Jian , Lou Deyuan , Wang Yutao , Liu Dun 
Published: December 2022

Purpose
The purpose of this study is to process the wettability surface of the ZrO2 ceramics to improve their surface friction performance.

Design/methodology/approach
Microtexture was processed on the surface of ZrO2 ceramics using a femtosecond laser. The three-dimensional texture morphology, surface contact angle, friction curve and wear morphology were measured by the laser confocal microscope, the contact angle meter, the reciprocating friction and wear tester and the scanning electron microscope, respectively. Based on Wenzel and partial impalement models, a geometric model of micro pits is established to study the influence mechanism of micro pit depth, diameter and distribution density on wettability and to analyze the relationship between surface wettability and tribological properties.

Findings
The results show that changing the geometric characteristics of the texture will lead to a change in the solid-liquid contact mode, and then lead to a change of in the surface contact angle. Wettability is an essential factor that affects the reduction of surface friction. The construction of a reasonable texture can enhance the surface hydrophilicity, which is conducive to the formation of a lubricating film on the ceramic surface, thereby reducing abrasive and adhesive wear, and improving the wear resistance of the ZrO2 ceramic surface.

Originality/value
The results provide a theoretical reference for femtosecond laser surface texture wettability regulation and tribological performance improvement.
A novel dual-stage shape memory alloy actuated gripper
Authors: Li Xiaozheng , Liu Shutian , Tong Liyong , Gao Renjing 
Published: December 2022

Purpose
The paper aims to propose a novel dual-stage shape memory alloy (SMA) actuated gripper (DAG), of which the grasp performance is improved through primary and secondary actuation.

Design/methodology/approach
This paper presents a method of integrating the design of dual-stage actuation modules based on the SMA bias actuation principle to enhance the grasping shape adaptability and force modulation of a DAG. The actuation angle range and grasping performance of the DAG are investigated by thermomechanical analysis and the finite element method based numerical simulation.

Findings
The results of present experiments and simulations indicate that the actuation angle scope of the DAG is about 20° under no load, which enables the grasping space occupied by an object in the DAG from 60 mm to 120 mm. The grasping force adjusted by changing the input power of the primary main actuation module and secondary fine-tuning actuation module can reach a maximum of 2 N, which is capable of grasping objects of various sizes, weights, shapes, etc.

Originality/value
The contribution of this paper is to design a DAG based on SMA, and establish the solution methods for the primary main actuation module and secondary fine-tuning actuation module, respectively. It lays a foundation for the research of lightweight and intelligent robotic grippers.
Exploring success factors of tourism performing arts by analyses of online reviews
Authors: Cui Yuan , Kim Seungwoon , Feng Shi 
Published: December 2022

Purpose
This study aims to explore the success factors of tourism performing arts (TPA) programs by analyzing a large data set of online reviews.

Design/methodology/approach
A total of 195,230 reviews from Ctrip.com were collected and preprocessed. A deep learning method was leveraged to estimate the similarity between words. Then, regression analysis was conducted to determine success factors.

Findings
This study extracted four positive and two negative factors affecting tourist satisfaction with tourism performance arts. The results demonstrate that the tourists paid the most attention to the traditional Chinese cultural aspects, audiovisual effects and the actors’ performing enthusiasm.

Research limitations/implications
Despite this study’s large data set, the focused was only on Chinese reviews. It would be useful and interesting to compare the success factors of tourism performance arts programs offered in different countries.

Practical implications
The study findings can contribute to the development of TPA programs to attract tourists to travel destinations.

Originality/value
This study demonstrates that analyzing online reviews of TPA through text mining technology is an effective method of understanding tourist satisfaction.
Leveraging supply integration, mass customization and manufacturing flexibility capabilities and the contingency of innovation orientation
Authors: Jafari Hamid , Ghaderi Hadi , Eslami Mohammad H. , Malik Mohsin 
Published: December 2022

PurposeThis paper aims to examine the relationship between supply integration and firm performance by first, investigating the mediating effects of manufacturing flexibility and mass customization; and second, exploring the moderating role of innovation orientation on the link between internal capabilities and performance.Design/methodology/approachResource orchestration and contingency theories are used to address the mediating and moderating effects. A cross-sectional data set on 242 Swedish manufacturers is used to test for the hypotheses using structural equation modeling.FindingsThe findings provide support for the mediating roles of manufacturing flexibility and mass customization in the relationship between supply integration and firm performance. However, the results point to contrasting contingent effects of innovation orientation. While innovation orientation positively moderates the association between mass customization and firm performance, it shows a negative impact on the link between flexibility and performance.Research limitations/implicationsThe study contributes to the literature on the integrative activities with upstream supply chain actors. Specifically, the authors highlight how specific capability configurations comprising of supply integration, manufacturing flexibility and mass customization lead to firm performance. Moreover, the authors provide insights on the contingency role of innovation, especially if firms consider flexibility or customization capabilities.Originality/valueWhile the individual impacts of flexibility and customization on performance have been addressed previously, there is a paucity of research on how these two capabilities are integrated with supply integration. Moreover, there is little known regarding the role of innovation orientation on these integrated relationships.
A start-up’s collaboration in networks for sustainable freight transport: a micro-meso-macro approach to innovation
Authors: Melander Lisa , Lind Frida 
Published: December 2022

Purpose
The purpose of this paper is to analyse how start-ups with a clear sustainability focus collaborate with multiple actors at different levels to pursue business ideas and develop sustainable freight transport solutions.

Design/methodology/approach
This paper builds on a theoretical approach that includes three levels of analysis: the actor level (micro), business-network level (meso) and society and government level (macro). An embedded case study is used of a focal start-up aiming to innovate on networked platforms and electric and autonomous vehicles (EAVs).

Findings
Activities and resources are developed at the firm (micro), network (meso) and societal levels (macro), and all three levels need to be considered for a start-up, with a clear sustainability focus. Interaction within as well as between levels affects the innovation development, integration and implementation. The many-folded collaborations at the meso level serve as a locus for the integration of EAVs. The start-up’s networking activities with actors at meso and macro levels contribute to it gaining legitimacy in the transport system.

Originality/value
This paper focuses on the importance of collaboration in the context of developing innovative solutions for environmental sustainability and freight transport and provides a unique case of how a start-up company manages collaborations at the micro, meso and macro levels.
Experimental heatwaves disrupt bumblebee foraging through direct heat effects and reduced nectar production
Authors: Hemberger Jeremy A. , Rosenberger Nick M. , Williams Neal M. 
Published: December 2022

Abstract

Heatwaves are an increasingly common extreme weather event across the globe and are projected to surge in frequency and severity in the coming decades. Plant‐pollinator mutualisms are vulnerable due to interacting effects of extreme heat on insect pollinator foraging behaviour and their forage plants.

We designed an experiment to parse the impact of extreme heat on bumblebee foraging mediated directly through air temperature and indirectly through changes in plant rewards.

Temperatures simulating a moderate heatwave negatively impacted foraging bumblebees reducing the proportion of successful foraging bouts, foraging bout duration and plant and flower visitation and indirect stress through reduced nectar production that limited foraging bout duration.

Our experimental results provide a mechanistic link between climate, plants and pollinators and suggest in situ conditions from heatwaves could have profound negative consequences for bumblebee colony persistence and maintenance of pollination services.

Read the free Plain Language Summary for this article on the Journal blog.
An Empirical Method for the Optimal Setting of the Potential Fields Inverse Problem
Authors: Sampietro Daniele , Capponi Martina , Thébault Erwan , Gailler Lydie 
Published: December 2022

AbstractThe use of potential field methods for geophysical exploration purposes is nowadays quite common: these techniques consent to retrieve geological knowledge over extended regions and can give complementary information where other invasive or expensive techniques, such as seismic acquisitions, fail (e.g., in the recovery of geometries of geological horizons beneath a thick salt layer). Recent dedicated satellite gravity and magnetic missions, such as GRACE, GOCE and SWARM together with the exploitation of offshore satellite altimetry and airborne/shipborne surveys, have paved the way to the realization of a variety of global models, characterized by spatial resolutions of about 4 km (both for gravity anomaly and lithosphere magnetic anomalies) and high accuracy (about mGal and 20 nT). These models are a valuable source of information to study the geological evolution and characterization of the lithosphere structure, especially at a regional scale. In the present work, some preliminary technical aspects related to the use of these models to perform three‐dimensional inversion are discussed, thus defining an empirical but rigorous procedure to set up gravity and magnetic inversion. In particular, we address the questions whether the classical planar approximation is acceptable for regional inversions or if a spherical one is required. We also provide guidance for choosing the best gravity functional (e.g., gravity anomalies or second radial derivative of the anomalous potential) and the optimal sizing of the three‐dimensional volume area to be modelled depending on the specific target investigated. The application of the proposed methods to the Mediterranean case study is also presented.
Competitive Categorization and Networks: Cognitive Strategic Groups
Authors: Han Tian , Ghobadian Abby , Yim Andrew , Tao Ran , Thomas Howard 
Published: December 2022

AbstractTechnological advancement compounds the complexity of competitor identification, making it increasingly multi‐front and multi‐dimensional. Strategic groups are an important unit for competition analysis, typically delineated by firms’ characteristic similarities or cognitive maps. Both have inadequacies – the former produces methodological artefacts, and the latter is subject to scale limitations, replicability and managers’ cognitive blind spots. Hence, the need for alternatives supplementing the existing approaches. We propose a novel grouping methodology based on news co‐mentions, reflecting factual corporate events, executives’ and journalists’ views, and environmental changes. It yields three advantages. First, news depicts interorganizational relationships, alleviating the concern that strategic groups are statistical artefacts. Second, the approach supplements managers’ cognition with that of journalists. Third, the public availability of data offers replicability. The proposed methodology is applied to a sample collected from the US high‐tech sector. We document commonalities between the co‐mention‐based groups and the conventionally used characteristic‐based approach. However, the similarity and groups yielded from news co‐mentions go beyond characteristic similarities in explaining competitive inclination, suggesting that the co‐mention‐based approach offers a robust alternative to identifying competitors and strategic groups. Overall, by developing a novel methodology based on a strong theoretical foundation, this study sheds new light on strategic group research.
Toward a More Just System of Care in Molecular Pathology
Authors: LILLEY CULLEN M. , DELILLE MINERVE , MIRZA KAMRAN M. , PARILLA MEGAN 
Published: December 2022

Policy Points
American health care policy must be critically assessed to establish the role it plays in sustaining and alleviating the health disparities that currently exist in molecular genetic testing.
It is critical to understand the economic and sociocultural influences that drive patients to undergo or forgo molecular testing, especially in marginalized patient populations.
A multipronged solution with actions necessary from multiple stakeholders is required to reduce the cost of health care, rebalance regional disparities, encourage physician engagement, reduce data bias, and earn patients’ trust.
ContextThe health status of a population is greatly influenced by both biological processes and external factors. For years, minority and low socioeconomic patient populations have faced worse outcomes and poorer health in the United States. Experts have worked extensively to understand the issues and find solutions to alleviate this disproportionate burden of disease. As a result, there have been some improvements and successes, but wide gaps still exist. Diagnostic molecular genetic testing and so‐called personalized medicine are just now being integrated into the current American health care system. The way in which these tests are integrated can either exacerbate or reduce health disparities.MethodsWe provide case scenarios—loosely based on real‐life patients—so that nonexperts can see the impacts of complex policy decisions and unintentional biases in technology without needing to understand all the intricacies. We use data to explain these findings from an extensive literature search examining both peer‐reviewed and gray literature.FindingsAccess to diagnostic molecular genetic testing is not equitable or sufficient, owing to at least five major factors: (1) cost to the patient, (2) location, (3) lack of provider buy‐in, (4) data‐set bias, and (5) lack of public trust.ConclusionsMolecular genetic pathology can be made more equitable with the concerted efforts of multiple stakeholders. Confronting the five major factors identified here may help us usher in a new era of precision medicine without its discriminatory counterpart.
Engineered nanomaterials‐based sensing systems for assessing the freshness of meat and aquatic products: A state‐of‐the‐art review
Authors: Duan Xiaoyan , Li Zhuoran , Wang Lei , Lin Hong , Wang Kaiqiang 
Published: December 2022

AbstractMeat and aquatic products are susceptible to spoilage during distribution, transportation, and storage, increasing the urgency of freshness evaluation. Engineered nanomaterials (ENMs) typically with the diameter in the range of 1–100 nm exhibit fascinating physicochemical properties. ENMs‐based sensing systems have received extensive attention for food freshness assessment due to the advantages of being fast, simple, and sensitive. This review focuses on summarizing the recent application of ENMs‐based sensing systems for food freshness detection. First, chemical indicators related to the freshness of meat and aquatic products are described. Then, how to apply the ENMs including noble metal nanomaterials, metal oxide nanomaterials, carbon nanomaterials, and metal–organic frameworks for the construction of different sensing systems were described. Besides, the recent advance in ENMs‐based colorimetric, fluorescent, electrochemical, and surface‐enhanced Raman spectroscopy sensing systems for assessing the freshness of meat and aquatic products were outlined. Finally, the challenges and future research perspectives for the application of ENMs‐based sensing systems were discussed. The ENMs‐based sensing systems have been demonstrated as effective tools for freshness evaluation. The sensing performance of ENMs employed in different sensing systems depends on their composition, size, shape, and stability of nanoparticles. For the real application of ENMs in food industries, the risks and regulatory issues associated with nanomaterials need to be further considered. With the continuous development of nanomaterials and sensing devices, the ENMs‐based sensors are expected to be applied in‐field for rapid detection of the freshness of meat and aquatic products in the future.
Modelling ecological communities when composition is manipulated experimentally
Authors: Skwara Abigail , Lemos‐Costa Paula , Miller Zachary R. , Allesina Stefano 
Published: December 2022

Abstract

In an experimental setting, the composition of ecological communities can be manipulated directly. Starting from a pool of species, it is possible to co‐culture species in different combinations, ranging from monocultures, to pairs, and all the way up to the full species pool. Leveraging datasets with this experimental design, we advance methods to infer species interactions using density measurements taken at a single time point across a variety of distinct community compositions.

First, we introduce a fast and robust algorithm to estimate parameters for simple statistical models describing these data, which can be combined with likelihood maximization approaches. Second, we derive from consumer–resource dynamics a family of statistical models with few parameters, which can be applied to study systems where only a small fraction of the potential community compositions have been observed. Third, we show how a Weighted Least Squares framework can be used to account for the fact that species abundances often display a strong relationship between means and variances.

To illustrate our approach, we analyse datasets spanning plant, bacteria and phytoplankton communities, as well as simulations, consistently recovering a good fit to the data and demonstrating the ability of our methods to predict equilibrium densities in out‐of‐sample communities.

By combining more robust model structures and fitting procedures along with a more flexible error model, we greatly extend the applicability of recently proposed methods to model community composition from experimental data, opening the door for the analysis of larger pools of species using sparser and noisier datasets than was previously possible.