bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extracellular matrix remodeling during aging aligns with synapse, microglia, and cognitive status
Authors: Gray Daniel T. , Gutierrez Abigail , Jami-Alahmadi Yasaman , Pandey Vijaya , Pan Lin , Zhang Ye , Wohlschlegel James A. , McDevitt Ross A. , De Biase Lindsay M. 
Published: January 2024

AbstractSynapse dysfunction is tightly linked to cognitive changes during aging, but underlying mechanisms driving dysfunction are minimally understood. The extracellular matrix (ECM) can potently regulate synapse integrity and plasticity. Yet the status of the brain ECM during aging remains virtually unexplored. Using novel ECM-optimized proteomic workflows, we discovered striking regional differences in ECM composition and aging-induced ECM remodeling. ECM status was also aligned with preserved synapse protein abundance across key basal ganglia nuclei. Moreover, using foraging-based behavioral paradigms and confocal imaging in fixed tissue, we demonstrated that reduced ECM-synapse remodeling and microglial aging phenotypes are both linked with deficits in goal-directed behavior in aging mice. Finally, using mouse models of microglia ablation and premature microglial aging, we identified microglial aging phenotypes that promote ECM deposition and synapse numbers. Together, these foundational observations implicate glial-ECM interactions in the regulation of synapse function and cognitive abilities across the lifespan.
A comprehensive landscape of the zinc-regulated human proteome
Authors: Burger Nils , Mittenbühler Melanie J. , Xiao Haopeng , Shin Sanghee , Bozi Luiz H.M. , Wei Shelley , Sprenger Hans-Georg , Sun Yizhi , Zhu Yingde , Darabedian Narek , Petrocelli Jonathan J. , Muro Pedro Latorre- , Che Jianwei , Chouchani Edward T. 
Published: January 2024

SummaryZinc is an essential micronutrient that regulates a wide range of physiological processes, principally through Zn2+binding to protein cysteine residues. Despite being critical for modulation of protein function, for the vast majority of the human proteome the cysteine sites subject to regulation by Zn2+binding remain undefined. Here we develop ZnCPT, a comprehensive and quantitative mapping of the zinc-regulated cysteine proteome. We define 4807 zinc-regulated protein cysteines, uncovering protein families across major domains of biology that are subject to either constitutive or inducible modification by zinc. ZnCPT enables systematic discovery of zinc-regulated structural, enzymatic, and allosteric functional domains. On this basis, we identify 52 cancer genetic dependencies subject to zinc regulation, and nominate malignancies sensitive to zinc-induced cytotoxicity. In doing so, we discover a mechanism of zinc regulation over Glutathione Reductase (GSR) that drives cell death in GSR-dependent lung cancers. We provide ZnCPT as a resource for understanding mechanisms of zinc regulation over protein function.
MicroED structure of the C11 cysteine protease Clostripain
Authors: Ruma Yasmeen N. , Bu Guanhong , Gonen Tamir 
Published: January 2024

AbstractClostripain secreted fromClostridium histolyticumis the founding member of the C11 family of Clan CD cysteine peptidases, which is an important group of peptidases secreted by numerous bacteria. Clostripain is an arginine specific endopeptidase. Because of its efficacy as a cysteine peptidase, it is widely used in laboratory settings. Despite its importance the structure of clostripain remains unsolved. Here we describe the first structure of an active form ofC. histolyticumClostripain determined at 3.6 Å resolution using microcrystal electron diffraction (MicroED). The structure was determined from a single nanocrystal after focused ion beam milling. The structure of Clostripain shows a typical Clan CD α/β/α sandwich architecture and the Cys231/His176 catalytic dyad in the active site. It has a large electronegative substrate binding pocket showing its ability to accommodate large and diverse substrates. A loop in the heavy chain formed between residues 452 to 457 is potentially important for substrate binding. In conclusion, this result demonstrates the importance of MicroED to determine the unknown structure of macromolecules such as Clostripain, which can be further used as a platform to study substrate binding and design of potential inhibitors against this class of peptidases.
Non-B DNA-Informed Mutation Burden as a Marker of Treatment Response and Outcome in Cancer
Authors: Xu Qi , Kowalski Jeanne 
Published: January 2024

AbstractBackgroundGenomic instability plays a key role in tumorigenesis and cancer research, with Tumor Mutation Burden (TMB) being a crucial biomarker quantifying total mutation to indicate therapeutic effectiveness, particularly in immunotherapy. However, TMB is not always a reliable predictor of treatment response and displays heterogeneity. Non-B DNA, alternative DNA forms have the potential to increase susceptibility to mutations that lead to the development of cancer. The tendency of these structures to induce mutations highlights their critical role in cancer onset and advancement, indicating their potential merit when combined with mutation information for enhanced markers in cancer with potential novel insights.Methods and findingsWe introduce two novel markers, “nbTMB” (non-B-informed tumor mutation burden) and “mlTNB” (mutation-localized-informed tumor non-B burden). We show in three separate case studies applying these markers the following findings: 1) nbTMB informs on survival heterogeneity among TMB-High patients undergoing immunotherapy whereas TMB is unable to further differentiate; 2) nbTMB informs on altered cisplatin sensitivity among ovarian cancer patient-derived cell lines whereas TMB is unable to differentiate; and 3) mlTNB informs on survival heterogeneity among early stage pancreatic cancer progressors in whom other markers of genomic instability fail to differentiate.ConclusionsThese novel markers offer a nuanced approach in which to enhance our current understanding of treatment responses and outcomes in cancer, underscoring the need for a more comprehensive exploration of the interplay between non-B and B-DNA features.
Experimental tests of dark bubble cosmology
Authors: Danielsson U. , Panizo D. 
Published: January 2024

In this paper we use α′2 corrections to the D3-brane action to obtain a nonzero and positive cosmological constant in the induced cosmology living on the dark bubble. Its measured value together with the value of the fine structure constant correspond to a dark dimension of size 5×10−5  m and a string scale at 11 TeV. We conclude that the dark bubble model predicts deviations of Newtonian gravity and stringy excitations of known particles within reach of future experiments.

Published by the American Physical Society
2024
Leverage, earnings management and audit industry specialization: the case of Palestinian-listed companies
Authors: Muhtaseb Hind , Paz Veronica , Tickell Geoffrey , Chaudhry Mukesh 
Published: January 2024

PurposeThis study explores the relationship between leverage and earnings management in the context of Palestinian-listed companies, while also investigating whether audit industry specialization influences this relationship.Design/methodology/approachThe data used in this study are extracted from public financial reports of 39 firms listed on Palestine Stock Exchange (PEX), spread across the service, insurance, industry and investment sectors, for the time period 2011–2022. A model is developed to test 4 hypotheses about the relationships between long-term and short-term debts, and earnings management, and then to examine the influence of audit industry specialization on these relationships.FindingsThe results depict a significant, negative relationship between long-term debt and earnings management. Whereas the association between short-term debt and earnings management is insignificant. Audit industry specialization is proven to have no influence on the relationships between the independent and the dependent variables. Results are robust for firms that changed their accounting policies and using different audit industry specialization proxies.Originality/valueThe association between leverage and earnings management is a significant research topic, given that previous research identifies credit ratings and debt covenant violations as key factors which motivate earnings management. This paper fills a substantial research gap by examining the relationship between the two variables in the context of Palestinian-listed firms, while emphasizing the distinction between long-term and short-term debts. It also highlights key relationships that have been neglected in this particular context, which adds to the body of literature. Furthermore, the research's findings provide a solid information base that is of great interest to accounting and auditing experts and that may be seriously evaluated to support and advance the PEX sector.
The effect of transformational leadership on restaurant employees on trust, altruistic intention and organizational commitment: the moderation effect of surface acting
Authors: Kement Üzeyir , Zeybek Bihter , Soylu Sinem , Erkol Bayram Gül , Raza Ali 
Published: January 2024

PurposeThis study aims to investigate the impact of the transformational leadership style on the behaviour of restaurant employees. Also, it was aimed to investigate the effect of transformational leadership on trust and the effect of trust on altruistic intention and organizational commitment.Design/methodology/approachThe study integrates insights from transformational leadership to provide a fresh perspective to advance comparative organizational behaviour research. To test the hypotheses, the authors conduct a multiple analysis with observations from Turkey getting staff in culinary department with a quantitative survey.FindingsThis study equips different professional entities in the food and beverage industry with useful, contextualized links between transformational leadership. According to results, the perspective of transformational leadership style affects the concepts of trust, altruistic value and organizational commitment positively. Charisma, moral modelling and individualized consideration had a significant effect on trust. Also, trust has a significant effect on altruistic intention and organizational commitment.Research limitations/implicationsThe present study incorporated confidence as a mediating variable; however, it is recommended that alternative scales be used in subsequent research endeavours. Future research endeavours may incorporate theoretical frameworks such as theory of planned behaviour or stimulus-organism-response.Practical implicationsTransformational leadership style is a good acquisition for restaurant employees. There is a healthier and safer job sharing in these restaurants. This can be interpreted as a more satisfied customer. A good leader has a great contribution to the future and sustainability of the business.Social implicationsThis research created a new model and examined employees’ views on the company and its management. As a result of the analysis, it was determined that charisma, moral modelling and individualized consideration had a significant effect on trust.Originality/valueThis assists in learning better service quality developing and business practices to augment culinary staff, thereby maximizing their valuable contributions to tourism growth. This research created a new model and examined employees’ views on the company and its management.
The role of financial inclusion and institutional factors on banking stability in developing countries
Authors: Jungo João , Madaleno Mara , Botelho Anabela 
Published: January 2024

Purpose
This study aims to examine the role of financial inclusion and institutional factors such as corruption and the rule of law (RL) on the credit risk and stability of banks.

Design/methodology/approach
The study considers a sample of 61 developing countries and uses very robust estimation techniques that allow controlling for endogeneity, heteroskedasticity and serial correlation, such as instrumental variables method in two-stage least squares (IV-2SLS), instrumental variables generalized method of moments (IV-GMM), as well as system of generalized methods of moments in two stages (Sys-2GMM).

Findings
The results confirm that financial inclusion and strengthening the RL can significantly contribute to reducing credit risk and improving the financial stability of banks; in contrast, the authors find that weak control of corruption aggravates credit risk. In addition, they found that greater competitiveness in the banking sector increases credit risk.

Social implications
This study supports the need to promote financial inclusion and strengthen institutional factors to improve the stability of the banking sector, as well as promote general well-being in the economy.

Originality/value
This study contributes to the scarce literature by simultaneously using institutional factors such as corruption and the RL and macroeconomic variables such as economic growth and inflation in the relationship between financial inclusion and the banking sector, as well as considering competitiveness as an explanatory factor for banks’ credit risk and stability.
Comparative analysis of machine learning models in predicting housing prices: a case study of Prishtina's real estate market
Authors: Hoxha Visar 
Published: January 2024

Purpose
The purpose of this study is to carry out a comparative analysis of four machine learning models such as linear regression, decision trees, k-nearest neighbors and support vector regression in predicting housing prices in Prishtina.

Design/methodology/approach
Using Python, the models were assessed on a data set of 1,512 property transactions with mean squared error, coefficient of determination, mean absolute error and root mean squared error as metrics. The study also conducts variable importance test.

Findings
Upon preprocessing and standardization of the data, the models were trained and tested, with the decision tree model producing the best performance. The variable importance test found the distance from central business district and distance to the road leading to central business district as the most relevant drivers of housing prices across all models, with the exception of support vector machine model, which showed minimal importance for all variables.

Originality/value
To the best of the author’s knowledge, the originality of this research rests in its methodological approach and emphasis on Prishtina's real estate market, which has never been studied in this context, and its findings may be generalizable to comparable transitional economies with booming real estate sector like Kosovo.
The bright side of being uncertain: the impact of economic policy uncertainty on corporate innovation
Authors: Liang Chen , Lee Peter K.C. , Zhu Minghao , Yeung Andy C.L. , Cheng T.C.E. , Zhou Honggeng 
Published: January 2024

PurposeThis study aims to theoretically hypothesize and empirically examine the impact of economic policy uncertainty (EPU) on firms' innovation performance as well as the contingency conditions of this relationship.Design/methodology/approachThis study collects and combines secondary longitudinal data from multiple sources to test for a direct impact of EPU on firms' innovation performance. It further examines the moderating effects of firms' operational and marketing capabilities. A series of robustness checks are performed to ensure the consistency of the findings.FindingsIn contrast to the common belief that EPU reduces the innovativeness of firms, the authors find an inverted-U relationship between EPU and innovation performance, indicating that a moderate level of EPU actually promotes innovation. Further analysis suggests that firms' operational and marketing capabilities make the inverted-U relationship steeper, further enhancing firms' innovation performance at a moderate level of EPU.Originality/valueThis study adds to the emerging literature that investigates the operational implications of EPU, which enhances our understanding of the potential bright side of EPU and broadens the scope of operational risk management.
New investigation of delamination using the VCCT method to predict the damage in bonded composite repair plates subjected to tensile load
Authors: Talbi Sofiane , Salem Mokadem , Mechab Belaïd , Ghomari Tewfik , Allem Ahmed , Bachir Bouiadjra Belabbes , Mehdi Benelmaarouf 
Published: January 2024

PurposeThis study provides an analysis of patch repair for cracked aircraft structures. Delamination is a type of damage that affects the patch's behavior. The purpose of this study is to assess the influence of delamination on repair performance.Design/methodology/approachAn analytical and numerical study using the finite element method was conducted for a cracked plate repaired with a patch containing a pre-existing delamination defect. The method for defining the contact pair surfaces and modeling the delamination interaction within the patch interface is specified using the virtual crack closure technique (VCCT) approach.FindingsThe efficiency of the repair is measured in terms of the J-integral. The effects of delamination initiation, mechanical loading, crack length and patch stacking sequences are presented. It is noted that in mode I, delamination propagation is only significant at node A. The numerical results are in good agreement with those of the analytical solution found in the literature. It is observed that the patch's behavior is strongly dependent on loading, crack size and stacking sequences in terms of reducing the structure's lifespan, especially in the presence of delamination.Originality/valueThe numerical modeling presented by the VCCT approach is highly valuable for studying delamination evolution. The influence of loading, crack size and stacking sequences on repair performance is discussed in this work.
How does ESG disclosure promote technological innovation? Moderating effects based on product market competition
Authors: Wang Xinyuan , Yin Yushi , Chun Dongphil , Li Peng 
Published: January 2024

PurposeThe primary objective of this study is to unveil the relationships that interconnect ESG and three pillars disclosures with technological innovation while also investigating the moderating impact of product market competition. The paper seeks to identify the underlying mechanisms that facilitate technological innovation in sustainable management.Design/methodology/approachUsing data from 8,738 Chinese firms from 2011 to 2019, this study employs quantitative analysis to examine the relationship between ESG disclosure and technological innovation and the moderating effect. Moreover, this study explores the heterogeneous impacts while considering factors such as property rights and firm size.FindingsThe findings reveal a positive correlation between ESG disclosure and technological innovation. The study also investigates the moderating role of product market competition and finds that increasing competition mitigates the positive effects of ESG disclosure on technological innovation. Additionally, the conclusions reveal that the relationship between ESG and three pillars disclosures and technological innovation, as well as the moderating role of product market competition, exhibits inconsistency across firms with different property rights and sizes.Originality/valueThis study offers a clear understanding of the relationship between ESG disclosures and technological innovation, and how it varies across businesses of different sizes and ownership structures. It also provides fresh perspectives on the influence of product market competition on this relationship, with implications for strategy development in corporations.
Application of grey system model with intelligent parameters in predicting regional electricity consumption
Authors: Zhou Wenhao , Li Hailin , Li Hufeng , Zhang Liping , Lin Weibin 
Published: January 2024

PurposeGiven the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to construct a grey system forecasting model with intelligent parameters for predicting provincial electricity consumption in China.Design/methodology/approachFirst, parameter optimization and structural expansion are simultaneously integrated into a unified grey system prediction framework, enhancing its adaptive capabilities. Second, by setting the minimum simulation percentage error as the optimization goal, the authors apply the particle swarm optimization (PSO) algorithm to search for the optimal grey generation order and background value coefficient. Third, to assess the performance across diverse power consumption systems, the authors use two electricity consumption cases and select eight other benchmark models to analyze the simulation and prediction errors. Further, the authors conduct simulations and trend predictions using data from all 31 provinces in China, analyzing and predicting the development trends in electricity consumption for each province from 2021 to 2026.FindingsThe study identifies significant heterogeneity in the development trends of electricity consumption systems among diverse provinces in China. The grey prediction model, optimized with multiple intelligent parameters, demonstrates superior adaptability and dynamic adjustment capabilities compared to traditional fixed-parameter models. Outperforming benchmark models across various evaluation indicators such as root mean square error (RMSE), average percentage error and Theil’s index, the new model establishes its robustness in predicting electricity system behavior.Originality/valueAcknowledging the limitations of traditional grey prediction models in capturing diverse growth patterns under fixed-generation orders, single structures and unadjustable background values, this study proposes a fractional grey intelligent prediction model with multiple parameter optimization. By incorporating multiple parameter optimizations and structure expansion, it substantiates the model’s superiority in forecasting provincial electricity consumption.
Do sustainability reporting standards affect analysts’ forecast accuracy?
Authors: Pizzi Simone , Caputo Fabio , de Nuccio Elbano 
Published: January 2024

Purpose
This study aims to contribute to the emerging debate about materiality with novel insights about the signaling effects related to the disclosure of environmental, social and governance (ESG) information using the guidelines released by the Global Reporting Initiative (GRI) and the Sustainability Accounting Standards Board (SASB).

Design/methodology/approach
An empirical assessment using panel data analysis was built to evaluate the relationship between sustainability reporting standards and analysts’ forecast accuracy.

Findings
The analysis revealed that the proliferation of sustainability reports prepared on mandatory or voluntary basis mitigated the signaling effects related to the disclosure of ESG information by companies. Furthermore, the additional analysis conducted considering sustainability reporting quality and ESG performance revealed the existence of mixed effects on analysts’ forecasts accuracy. Therefore, the insights highlighted the need to consider a cautionary approach in evaluating the contribution of ESG data to financial evaluations.

Practical implications
The practical implications consist of identifying criticisms related to disclosing ESG information by listed companies. In detail, the analysis underlines the need to enhance reporting standards’ interoperability to support the development of more accurate analysis by investors and financial experts.

Social implications
The analysis reveals increasing attention investors pay to socially responsible initiatives, confirming that financial markets consider sustainability reporting as a strategic driver to engage with stakeholders and investors.

Originality/value
This research represents one of the first attempts to explore differences between GRI and SASB using an empirical approach.