bluuebunny/crossref_metadata_2025_split huggingface dataset:
READv2: Advanced and user-friendly detection of biological relatedness in archaeogenomics
Authors: Alaçamlı Erkin , Naidoo Thijessen , Aktürk Şevval , Güler Merve N. , Mapelli Igor , Vural Kıvılcım Başak , Somel Mehmet , Malmström Helena , Günther Torsten 
Published: January 2024

AbstractThe possibility to obtain genome-wide ancient DNA data from multiple individuals has facilitated an unprecedented perspective into prehistoric societies. Studying biological relatedness in these groups requires tailored approaches for analyzing ancient DNA due to its low coverage, post-mortem damage, and potential ascertainment bias. Here we present READv2 (Relatedness Estimation from Ancient DNA version 2), an improved Python 3 re-implementation of the most widely used tool for this purpose. While providing increased portability and making the software future-proof, we are also able to show that READv2 (a) is orders of magnitude faster than its predecessor; (b) has increased power to detect pairs of relatives using optimized default parameters; and, when the number of overlapping SNPs is sufficient, (c) can differentiate between full-siblings and parent-offspring, and (d) can classify pairs of third-degree relatedness. We further use READv2 to analyze a large empirical dataset that has previously needed two separate tools to reconstruct complex pedigrees. We show that READv2 yields results and precision similar to the combined approach but is faster and simpler to run. READv2 will become a valuable part of the archaeogenomic toolkit in providing an efficient and user-friendly classification of biological relatedness from pseudohaploid ancient DNA data.
Neuropilin-1 controls vascular permeability through juxtacrine regulation of endothelial adherens junctions
Authors: Pal Sagnik , Su Yangyang , Nwadozi Emmanuel , Claesson-Welsh Lena , Richards Mark 
Published: January 2024

AbstractNeuropilin-1 (NRP1) regulates endothelial cell (EC) biology through modulation of vascular endothelial growth factor receptor 2 (VEGFR2) signalling by presenting VEGFA to VEGFR2. How NRP1 impacts VEGFA-mediated vascular hyperpermeability has however remained unresolved, described as exerting either a positive or a passive function. Using EC-specificNrp1knock-out mice, we discover that EC-expressed NRP1 exerts an organotypic role. In the ear skin, VEGFA/VEGFR2-mediated vascular leakage was increased following loss of EC NRP1, implicating NRP1 in negative regulation of VEGFR2 signalling. In contrast, in the back skin and trachea, loss of EC NRP1 decreased vascular leakage. In accordance, phosphorylation of vascular endothelial (VE)-cadherin was increased in the ear skin but suppressed in the back skin ofNrp1iECKO mice. NRP1 expressed on perivascular cells has been shown to impact VEGF-mediated VEGFR2 signalling. Importantly, expression of NRP1 on perivascular cells was more abundant in the ear skin than in the back skin. Global loss of NRP1 resulted in suppressed VEGFA-induced vascular leakage in the ear skin, implicating perivascular NRP1 as a juxtacrine co-receptor of VEGFA in this compartment. Altogether, we demonstrate that perivascular NRP1 is an active participant in EC VEGFA/VEGFR2 signalling and acts as an organotypic modifier of EC biology.
Temporal Dynamics of Brain Mediation in Predictive Cue-induced Pain Modulation
Authors: Gim Suhwan , Hong Seok-Jun , Reynolds Losin Elizabeth A. , Woo Choong-Wan 
Published: January 2024

AbstractPain is not a mere reflection of noxious input. Rather, it is constructed through the dynamic integration of prior predictions with incoming sensory input. However, the temporal dynamics of the behavioral and neural processes underpinning this integration remain elusive. Here, we identified a series of brain mediators that integrated cue-induced expectations with noxious inputs into ongoing pain predictions using a semicircular scale designed to capture rating trajectories. Temporal mediation analysis revealed that during the early-to-mid stages of integration, the frontoparietal and dorsal attention network regions, such as the lateral prefrontal, premotor, and parietal cortex, mediated the cue effects. Conversely, during the mid-to-late stages of integration, the somatomotor network regions mediated the effects of stimulus intensity, suggesting that the integration occurs along the cortical hierarchy from transmodal to unimodal brain systems. Our findings advance the understanding of how the brain integrates prior and sensory information into pain experience over time.
Reductive dehalogenation by diverse microbes is central to biogeochemical cycles in deep-sea cold seeps
Authors: Han Yingchun , Deng Zhaochao , Peng Yongyi , Peng Jiaxue , Cao Lei , Xu Yangru , Yang Yi , Zhou Hao , Zhang Chen , Zhang Dongdong , Wang Minxiao , Zhang Chunfang , Greening Chris , Dong Xiyang 
Published: January 2024

AbstractReductive dehalogenation is crucial for halogen cycling and environmental remediation, yet its ecological role is not completely understood, especially in deep-sea environments. To address this gap, we investigated the diversity of reductive dehalogenases (RDases) and ecophysiology of organohalide reducers in deep-sea cold seeps, which are environments rich in halogenated compounds. Through genome- resolved metagenomic analysis of 165 global cold seep sediment samples, we identified four types of RDases, namely prototypical respiratory, transmembrane respiratory, and cytosolic RDases, and one novel clade. Cold seeps were found to harbor a higher abundance of these RDase genes compared to other marine sediments, establishing them as unique hotspots for microbial reductive dehalogenation activity. These RDases are encoded by a wide range of microorganisms across four archaeal and 36 bacterial phyla, significantly expanding the known diversity of organohalide reducers. Halogen geochemistry, laboratory incubations with various halogenated compounds, metatranscriptomic data, and metabolomic profiling confirmed the presence of organohalides at concentrations of up to 18 mg/g in these sediments and demonstrated their active microbial reduction. This process is tightly linked to other biogeochemical cycles, including carbon, hydrogen, nitrogen, sulfur, and trace elements. RDases from cold seeps have diverse N-terminal structures across different gene groups, and reductive dehalogenase genes in these environments are mostly functionally constrained and conserved. These findings collectively suggest that reductive dehalogenation is a central process in deep-sea environments, mediated by a diverse array of microbes and novel enzymes.
Numerical analysis of a baryon and its dilatation modes in holographic QCD
Authors: Hori Keiichiro , Suganuma Hideo , Kanda Hiroki 
Published: January 2024

We investigate a baryon and its dilatation modes in holographic QCD based on the Sakai-Sugimoto model, which is expressed as a 1+4 dimensional U(Nf) gauge theory in the flavor space. For spatially rotational symmetric systems, we apply a generalized version of the Witten Ansatz, and reduce 1+4 dimensional holographic QCD into a 1+2 dimensional Abelian Higgs theory in a curved space. In the reduced theory, the holographic baryon is described as a two-dimensional topological object of an Abrikosov vortex. We numerically calculate the baryon solution of holographic QCD using a fine and large lattice with spacing of 0.04 fm and size of 10 fm. Using the relation between the baryon size and the zero-point location of the Higgs field in the description with the Witten Ansatz, we investigate a various-size baryon through this vortex description. As time-dependent size-oscillation modes (dilatation modes) of a baryon, we numerically obtain the lowest excitation energy of 577 MeV and deduce the dilatational excitation of a nucleon to be the Roper resonance N*(1440).

Published by the American Physical Society
2024
Visibilizing and managing paradox: redefining the role of non-executive directors
Authors: Pina e Cunha Miguel , Nogueira Leite António , Rego Arménio , Hernández-Linares Remedios 
Published: January 2024

Purpose
This paper aims to discuss the work of non-executive directors (NEDs) as inherently paradoxical. Paradox refers to the presence of persistent contradictions between interdependent forces. Those persistent tensions are explored, and approaches are indicated to stimulate the adaptive use of paradoxes as forces of innovation and renewal.

Design/methodology/approach
This conceptual approach can be read as an invitation for corporate governance scholars to embrace the logic of paradox to expand the understanding of this topic. Paradox is not conceptualized as an alternative to dominant structural views, including board composition, but as a complementary conceptual perspective, a meta-theoretical lens to shed light on the tensions inherent to governance.

Findings
The authors propose that paradox theory offers a fresh conceptual lens to study the role of NEDs. This approach may help NEDs to turn tensions and paradoxes visible to develop a rich understanding of their work, as well as helping them navigate the complexities of organizing, a process rich in inherent paradoxicality.

Originality/value
Organizational paradox theory is a bourgeoning field of study, but the conceptual lens of paradox has still been underexplored in the study of corporate governance.
Do CEO characteristics affect earnings management?
Authors: Putra Adhitya Agri , Setiawan Doddy 
Published: January 2024

Purpose
This research paper aims to examine the effect of chief executive officer (CEO) characteristics on earnings management.

Design/methodology/approach
Research samples are manufacturing firms listed in the Indonesian Stock Exchange 2015–2021. CEO characteristics include narcissism, gender, age, tenure, experience, nationality and founding family status. Data analysis uses random-effect regression.

Findings
The result shows that higher narcissism CEOs have aggressive characteristics so they will be more likely to engage in accrual and real earnings management. Female CEOs, foreign CEOs and founding-family CEOs have higher monitoring and business ethics characteristics so they will be less likely to engage in accrual and real earnings management. CEOs with higher education levels have higher thinking complexity so they will be more likely to engage in accrual earnings management with higher regulator and auditor monitoring barriers than real earnings management. CEOs with financial and accounting experience are familiar with accounting standards and auditor monitoring barriers so they will be more likely to engage in accrual earnings management than real earnings management. On the other hand, there are no effects of CEO age and tenure on earnings management.

Originality/value
This research contributes to providing evidence of the effect of CEO characteristics on earnings management in a specific industry such as manufacturing firms and emerging markets such as Indonesia with the majority group firms being family firms.
Firm financial performance in the wake of political turmoil; whether political connection is propitious?
Authors: Khan Adnan Ullah , Iqbal Athar 
Published: January 2024

Purpose
This study aims to investigate the effect of political turmoil on the firm financial performance, particularly in presence of politically affiliated board of directors.

Design/methodology/approach
The study applied panel regression analyses on a data set of Pakistan’s listed companies ranged over 14 years, spanning from 2007 to 2021. Political turmoil was first gauged through three determinants, i.e. political protest, government election and constitutional reform, and thereafter, economic uncertainty index was used as a proxy for political turmoil. For the purpose of political connection, the study used political affiliation of the board of directors.

Findings
The study finds that political turmoil has deleterious effect on the return on assets and Tobin’s Q. The study further unveils that politically affiliated firms are relatively insulated from the volatility posed by the political uncertainty and exhibit significantly better financial outcomes.

Practical implications
Findings of the study suggest that appropriate composition of the board is imperative in offsetting the risk posed by the political turmoil. Hence, the results are useful for investors, policymakers and regulators to ensure financial soundness of firms in the wake of political turmoil.

Originality/value
To the best of the authors’ knowledge, this is the first study that investigates the moderating impact of political connection on the performance of companies in presence of political turmoil.
Leadership skills and the glass ceiling in event management: a social role theory approach
Authors: Mistry Trishna G. , Wiitala Jessica , Clark Brianna S. 
Published: January 2024

Purpose
Although event industry employees are predominantly female, there is a critical scarcity of women in leadership roles. Like other industries worldwide, women in the events industry experience several barriers to leadership roles. The unique characteristics of the events industry exacerbate these barriers and have led to more women leaving the company or even the industry. This study aims to investigate the impact of leadership barriers, including the perception of a glass ceiling and the importance of leadership skills in promotion decisions on career satisfaction, work-family conflict and turnover intention of employees in the events industry.

Design/methodology/approach
Data was collected from members of an international event association, and 427 responses were analyzed using partial least squares structural equation modeling.

Findings
Findings suggested the perception of a glass ceiling and the importance of leadership skills in promotion can impact career satisfaction, work-family conflict and turnover intention of employees in the events industry.

Originality/value
This study extends the scope of research on leadership barriers beyond assessing their causes by analyzing their outcomes in the event industry. To the best of the authors’ knowledge, this study is one of the first in event research and the broader hospitality industry to consider the perceptions of male and female employees regarding leadership barriers by using a foundation of the social role theory.
A method for predicting relative position errors in dual-robot systems via knowledge transfer from geometric and nongeometric calibration
Authors: Cao Siming , Wang Hongfeng , Guo Yingjie , Zhu Weidong , Ke Yinglin 
Published: January 2024

Purpose
In a dual-robot system, the relative position error is a superposition of errors from each mono-robot, resulting in deteriorated coordination accuracy. This study aims to enhance relative accuracy of the dual-robot system through direct compensation of relative errors. To achieve this, a novel calibration-driven transfer learning method is proposed for relative error prediction in dual-robot systems.

Design/methodology/approach
A novel local product of exponential (POE) model with minimal parameters is proposed for error modeling. And a two-step method is presented to identify both geometric and nongeometric parameters for the mono-robots. Using the identified parameters, two calibrated models are established and combined as one dual-robot model, generating error data between the nominal and calibrated models’ outputs. Subsequently, the calibration-driven transfer, involving pretraining a neural network with sufficient generated error data and fine-tuning with a small measured data set, is introduced, enabling knowledge transfer and thereby obtaining a high-precision relative error predictor.

Findings
Experimental validation is conducted, and the results demonstrate that the proposed method has reduced the maximum and average relative errors by 45.1% and 30.6% compared with the calibrated model, yielding the values of 0.594 mm and 0.255 mm, respectively.

Originality/value
First, the proposed calibration-driven transfer method innovatively adopts the calibrated model as a data generator to address the issue of real data scarcity. It achieves high-accuracy relative error prediction with only a small measured data set, significantly enhancing error compensation efficiency. Second, the proposed local POE model achieves model minimality without the need for complex redundant parameter partitioning operations, ensuring stability and robustness in parameter identification.
How does globally responsible leadership promotes pro-environmental behavior through green management initiatives?
Authors: Rafiq Muhammad , Cham Tat-Huei , Tapsir Siti Hamisah , Mansoor Adil , Farrukh Muhammad 
Published: January 2024

Purpose
This study aims to examine the association between globally responsible leadership (GRL) and pro-environmental behavior (PEB), specifically probing the mediating role of green management initiatives (GMI) in this relationship.

Design/methodology/approach
This study used a quantitative research design, using survey data from 390 participants working in manufacturing sector organizations in one of the emerging economies in the Asian region, namely, Pakistan. AMOS was used to test the hypothesized relationships.

Findings
The results reveal that GRL has a significant positive link with GMI and PEB. In addition, this study found that GMI mediates the association between GRL and PEB, suggesting that GRL indirectly promotes PEB through the implementation of GMI.

Research limitations/implications
This study has several limitations, including its reliance on self-reported data, its cross-sectional design and its focus on participants from only one nation. Future research may benefit from using mixed-study designs and diverse samples from multiple industries and nations.

Practical implications
The results suggest that businesses can promote PEB among their staff by adopting GRL and implementing GMI. In doing so, businesses can demonstrate their commitment to sustainability, enhancing their credibility and competitive advantage.

Originality/value
This research contributes several new insights to the existing literature on sustainable leadership. First, it provides empirical evidence to support the hypothesis that GRL, GMI and PEB are interrelated. Second, it highlights the mediating role of GMI in this relationship.
Electric vehicle subsidy structure considering network externality under carbon neutrality constraints
Authors: Chen Feng , Xu Suxiu , Zhai Yue 
Published: January 2024

PurposePromoting electric vehicles (EVs) is an effective way to achieve carbon neutrality. If EVs are widely adopted, this will undoubtedly be good for the environment. The purpose of this study is to analyze the impact of network externalities and subsidy on the strategies of manufacturer under a carbon neutrality constraint.Design/methodology/approachIn this paper, the authors propose a game-theoretic framework in an EVs supply chain consisting of a government, a manufacturer and a group of consumers. The authors examine two subsidy options and explain the choice of optimal strategies for government and manufacturer.FindingsFirst, the authors find that the both network externalities of charging stations and government subsidy can promote the EV market. Second, under a relaxed carbon neutrality constraint, even if the government’s purchase subsidy investment is larger than the carbon emission reduction technology subsidy investment, the purchase subsidy policy is still optimal. Third, under a strict carbon neutrality constraint, when the cost coefficient of carbon emission reduction and the effectiveness of carbon emission reduction technology are larger, social welfare will instead decrease with the increase of the effectiveness of emission reduction technology and then, the manufacturer’s investment in carbon emission reduction technology is lower. In the extended model, the authors find the effectiveness of carbon emission reduction technology can also promote the EV market and social welfare (or consumer surplus) is the same whatever the subsidy strategy.Practical implicationsThe network externalities of charging stations and the subsidy effect of the government have a superimposition effect on the promotion of EVs. When the network effect of charging stations is relatively strong, government can withdraw from the subsidized market. When the network effect of charging stations is relatively weak, government can intervene appropriately.Originality/valueComparing previous studies, this study reveals the impact of government intervention, network effects and carbon neutrality constraints on the EV supply chain. From a sustainability perspective, these insights are compelling for both EV manufacturers and policymakers.
Segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military: a perspective of dual information asymmetry
Authors: Zhang Fan , Wen Haolin 
Published: January 2024

PurposeBased on dual information asymmetry, the two-stage segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military (CEPIM) has been discussed.Design/methodology/approachOn the basis of the traditional principal-agent problems, the incentive compatibility condition is introduced as well as the hybrid incentive compensation model is established, to solve optimal solution of the compensation parameters under the dynamic contract condition and the validity is verified by numerical simulation.FindingsThe results show that: (1) The two-stage segmented compensation mechanism has the functions of “self-selection” and “stimulus to the strong”, (2) It promotes the civilian enterprises to obtain more innovation benefit compensation through the second stage, (3) There is an inverted U-shaped relationship between government compensation effectiveness and the innovation ability of compensation objects and (4) The “compensable threshold” and “optimal compensation threshold” should be set, respectively, to assess the applicability and priority of compensation.Originality/valueIn this paper, through numerical simulation, the optimal solution for two-stage segmented compensation, segmented compensation coefficient, expected returns for all parties and excess expected returns have been verified under various information asymmetry. The results show that the mechanism of two-stage segmented compensation can improve the expected returns for both civilian enterprises and the government. However, under dual information asymmetry, for innovation ability of the intended compensation candidates, a “compensation threshold” should be set to determine whether the compensation should be carried out, furthermore an “optimal compensation threshold” should be set to determine the compensation priority.