bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteomics Landscape of Triple-Negative Apocrine Breast Carcinoma Reveals Molecular Mechanisms of Tumorigenesis and Characteristics of Chemo-insensitivity
Authors: Zhu Yiying , Long Mengping , Shi Wenhao , He Tianlong , Xie Fangzhou , Qian Annan , Liu Yuqiao , Hu Taobo , Tang Shaojun 
Published: July 2024

ABSTRACTTriple-negative apocrine breast carcinoma (TNAC) is a rare type of triple-negative breast cancer (TNBC) characterized by apocrine morphology. Due to its low clinical incidence, TNAC has not been well studied at the molecular level in terms of cellular mechanisms of tumorigenesis and treatment response. In this study, we collected formalin-fixed paraffin-embedded samples from 31 patients diagnosed with invasive TNAC. Mass spectrometry analysis and whole-exome sequencing were performed to systematically construct the proteome and mutation landscape of the TNAC. Comparing ductal carcinoma in situ (DCIS), invasive, and adjacent normal tissues, we observed increased cadherin binding and ligase activity during tumorigenesis, heightened extracellular matrix signaling at tumor initiation, and elevated GTPase activity during tumor progression. Besides, we discovered genes such as C3 and COL18A1 enriched in somatic mutations are also significantly dysregulated in invasive TNAC. Additionally, by assessing biopsies before neo-adjacent chemotherapy, we provided molecular evidence supporting clinical observations of chemotherapy insensitivity in TNAC patients. We further identified a protein panel (CAPN1, CORO1B, HK1, RAP1B, and VPS4B) differentiating TNAC from non-apocrine TNBC, which could potentially serve as diagnostic markers. Taken together, this study represents the first large-scale proteomics analysis of TNAC and may provide guidance on decisions regarding the chemotherapy treatment of TNAC patients.
Disruption of mitochondrial folate metabolism leads to mitochondrial DNA leakage and activation of apoptotic or inflammatory pathways
Authors: Hwang Sinwoo , Baker Cameron , Field Martha S. 
Published: July 2024

AbstractFolate-mediated one-carbon metabolism (FOCM) is required for the biosynthesis of purines, thymidylate (dTMP), and methionine. Maintenance of adequate cellular dTMP levels is essential to preserve the integrity of the nuclear and mitochondrial genomes. Inadequate dTMP production leads to uracil misincorporation into mitochondrial DNA (mtDNA) and impaired mitochondrial function. However, the mechanisms whereby uracil in mtDNA impairs mitochondrial function are uncharacterized. The release of mtDNA into the cytosol acts as a damage-associated molecular pattern (DAMP), resulting in inflammation and cell death. Previously, we reported that disrupting mitochondrial dTMP synthesis through serine hydroxymethyltransferase 2 (Shmt2) heterozygosity increases uracil in mtDNA and impairs mitochondrial function in mice. This study aimed to investigate whether impairment of mitochondrial FOCM throughShmt2disruption leads to the release of mtDNA into the cytosol.Shmt2+/-MEF cells showed a > 2-fold increase in cytosolic mtDNA leakage compared toShmt2+/+cells (p<0.05). There was no significant difference in total mtDNA content betweenShmt2+/+andShmt2+/-MEF cells. MEFs with decreasedShmt2expression activated apoptosis by the ratio of cleaved caspase-3 to caspase-3. In addition, SHMT2 knock-out (SHMT2 KO) haploid chronic myeloid leukemia (HAP1) cells also exhibited increased cytosolic mtDNA content compared to the wild-type (WT) HAP1 cells. HAP1 lackingShmt2expression activated the cGAS/STING pathway, but suppressed apoptosis, compared to WT HAP1 cells. This study demonstrates that decreasedShmt2expression leads to cytosolic mtDNA leakage and that the downstream effects of mtDNA leakage vary by cell type.
diaPASEF analysis for HLA-I peptides enables quantification of common cancer neoantigens
Authors: Oliinyk Denys , Gurung Hem , Zhou Zhenru , Leskoske Kristin , Rose Christopher M. , Klaeger Susan 
Published: July 2024

AbstractHuman leukocyte antigen class I (HLA-I) molecules present short peptide sequences from endogenous or foreign proteins to cytotoxic T cells. The low abundance of HLA-I peptides poses significant technical challenges for their identification and accurate quantification. While mass spectrometry (MS) is currently a method of choice for direct system-wide identification of cellular immunopeptidome, there is still a need for enhanced sensitivity in detecting and quantifying tumor specific epitopes. As gas phase separation in data-dependent MS data acquisition (DDA) increased HLA-I peptide detection by up to 50%, here, we aimed to evaluate the performance of data-independent acquisition (DIA) in combination with ion mobility (diaPASEF) for high-sensitivity identification of HLA presented peptides. Our streamlined diaPASEF workflow enabled identification of 11,412 unique peptides from 12.5 million A375 cells and 3,426 8-11mers from as low as 500,000 cells with high reproducibility. By taking advantage of HLA binder-specificin-silicopredicted spectral libraries, we were able to further increase the number of identified HLA-I peptides. We applied SILAC-DIA to a mixture of labeled HLA-I peptides, calculated heavy-to-light ratios for 7,742 peptides across 5 conditions and demonstrated that diaPASEF achieves high quantitative accuracy up to 4-fold dilution. Finally, we identified and quantified shared neoantigens in a monoallelic C1R cell line model. By spiking in heavy synthetic peptides, we verified the identification of the peptide sequences and calculated relative abundances for 13 neoantigens. Taken together, diaPASEF analysis workflows for HLA-I peptides can increase the peptidome coverage for lower sample amounts. The sensitivity and quantitative precision provided by DIA can enable the detection and quantification of less abundant peptide species such as neoantigens across samples from the same background.
Reconstructing generalized parton distributions from the lattice off-forward Compton amplitude
Authors: Hannaford-Gunn A. , Can K. U. , Crawford J. A. , Horsley R. , Rakow P. E. L. , Schierholz G. , Stüben H. , Young R. D. , Zanotti J. M. ,   CSSM/QCDSF/UKQCD Collaborations
Published: July 2024

We present a determination of the structure functions of the off-forward Compton amplitude H1 and E1 from the Feynman-Hellmann method in lattice QCD. At leading twist, these structure functions give access to the generalized parton distributions (GPDs) H and E, respectively. This calculation is performed for an unphysical pion mass of mπ=412  MeV and four values of the soft momentum transfer, t≈0,−0.3,−0.6,−1.1  GeV2, all at a hard momentum scale of Q¯2≈5  GeV2. Using these results, we test various methods to determine properties of the real-time scattering amplitudes and GPDs: (1) we fit their Mellin moments, and (2) we use a simple GPD ansatz to reconstruct the entire distribution. Our final results show promising agreement with phenomenology and other lattice results and highlight specific systematics in need of control.

Published by the American Physical Society
2024
Negative Barnett effect, negative moment of inertia of the gluon plasma, and thermal evaporation of the chromomagnetic condensate
Authors: Braguta Victor V. , Chernodub Maxim N. , Kudrov Ilya E. , Roenko Artem A. , Sychev Dmitrii A. 
Published: July 2024

We discuss the negativity of the moment of inertia of (quark-)gluon plasma in a window of “supervortical” range of temperatures above the deconfining phase transition, T≃(1…1.5)Tc, found recently in numerical Monte Carlo simulations by two independent methods. In our work, we confirm numerically that the origin of this effect is rooted in the thermal evaporation of the nonperturbative chromomagnetic condensate. We argue that the negative moment of inertia of gluon plasma indicates the presence of a novel effect, the negative spin-vortical coupling for gluons resulting in a negative gluonic Barnett effect: the spin polarization of gluons exceeds the total angular momentum of rotating plasma, thus forcing the orbital angular momentum to take negative values in the supervortical range of temperatures.

Published by the American Physical Society
2024
Reconstructing the general 2HDM charged Higgs boson at the LHC
Authors: Hou Wei-Shu , Krab Mohamed 
Published: July 2024

We study the discovery prospects for a charged Higgs boson via the bg→cH−→ct¯b process at the Large Hadron Collider (LHC). Focusing on the general two Higgs doublet model (G2HDM) that possesses extra Yukawa couplings, the process is controlled by extra top couplings ρtc and ρtt, which can drive electroweak baryogenesis (EWBG) to account for the baryon asymmetry of the Universe (BAU). We propose benchmark points (BPs) and demonstrate that evidence could emerge at 14 TeV LHC and luminosity of 300  fb−1, with discovery potential at 600  fb−1.

Published by the American Physical Society
2024
Socially conscious investments: a structured literature review and prospective insights
Authors: Shah Avani , Unny Balakrishnan , Shome Samik 
Published: July 2024

PurposeThis paper aims to conduct a systematic literature review of Socially Conscious Investment (SCI) articles published in premier journals. Its objective is to shed light on the publication trend, leading authors, journals, countries and themes in contemporary SCI research. The article also provides a conceptual model of SCI to enhance understanding of the knowledge structure and the future research direction.Design/methodology/approachA systematic review followed the PRISMA guidelines and encompasses 264 full-text articles indexed in A* and A category journals listed in ABDC is reviewed. The literature synthesis adopts the theories, contexts, characteristics and methodology (TCCM) framework.FindingsThe article has identified the research trends related to author impact, journal impact, article impact and the outcomes derived from the TCCM framework. Additionally, it highlights three key themes: Performance of SCI, Behavioural issues and SCI development literature.Originality/valueThe insight on various aspects of SCI was explored for a comprehensive understanding. The authors also developed a conceptual model for socially conscious investment.
How do online reviews moderate effects of country image on product image and purchase intention: cases of Korean and US products in Vietnam
Authors: Nguyen Ngoc Minh , Huong Giang Hoang , Vu Ngoc Thi Minh , Ta Son Anh 
Published: July 2024

PurposeThis paper examines the moderating effects of online reviews on the relationship between country image, product image, and purchase intention of products from two developed countries in Vietnam.Design/methodology/approachThis current research used a cross-sectional design. Data was collected via questionnaires, and 305 responses were left after refining. The collected data were analyzed using exploratory factor analysis, confirmatory factor analysis, structural equation modeling, and multi-group analysis methods.FindingsAffective country images do not directly affect purchase intention when online review quality and positivity are high. Cognitive country images still directly affect purchase intention when online review positiveness is low. However, online review quantity does not moderate the effects of country images on product images and purchase intention.Research limitations/implicationsCognitive country image consistently affects purchase intention through the central route independent of online reviews. In contrast, the affective country image will likely affect purchase intention through the peripheral route when online reviews are insufficient for customers.Practical implicationsFirms can mitigate the adverse effects of country image, especially cognitive country image, in foreign markets by improving online review quality and positiveness.Originality/valueOur study extended existing literature by providing a better understanding of the nature of country image and the roles of country image dimensions in shaping product image and purchase intention in the context of the increasing popularity of online reviews.
The nexus of tax avoidance and firms characteristics – does board gender diversity have a role? Evidence from an emerging economy
Authors: Hossain Md Shamim , Islam Md Zahidul , Ali Md. Sobhan , Safiuddin Md. , Ling Chui Ching , Fung Chorng Yuan 
Published: July 2024

PurposeThis study examines the moderating role of female directors on the relationship between the firms’ characteristics and tax avoidance in an emerging economy.Design/methodology/approachThis study employs the second-generation unit root test and the generalised method of moments (GMM) techniques. The Kao residual cointegration test corroborates a long-run cointegration among variables.FindingsFemale directors demonstrate mixed and unusual findings. No significant impact of female directors on tax avoidance is found. In addition, the presence of female directors does not show any negative or significant moderating impacts on the relationship between leverage, firm age, board size and tax avoidance. However, having more female directors can negatively and significantly moderate the relationship between more profitable firms, larger firms and tax avoidance. These findings show that the board of directors could use the presence of female directors to maximise their opportunistic behaviour, such as to avoid tax.Research limitations/implicationsResearch limitations – The study is limited by considering only 62 listed firms. The scope could be extended to include non-listed firms.Practical implicationsResearch implications – There is increasing pressure for female directors on boards from diverse stakeholders, such as the European Commission, national governments, politicians, employer lobby groups, shareholders, and Fortune and Financial Times Stock Exchange (FTSE) rankings. This study provides input to decision-makers putting gender quota laws into practice. Our findings can help policy-makers adopt regulatory reforms to control tax avoidance practices and enhance organisational legitimacy. Policymakers can change their policy to include female directors up to the threshold suggested by the critical mass theory.Originality/valueThis is the first attempt in Bangladesh to explore the role of female directors in the relationship between the firms' characteristics and tax avoidance. The current study has significant ramifications for bringing gender diversity into practice as a component of good corporate governance.
Does a CEO from a reputable university create a better working environment? Evidence from Indonesia
Authors: Aini Siti Nur , Ningsih Sri , Harymawan Iman , Kartana I Wayan 
Published: July 2024

Purpose
This study aims to investigate whether CEOs who graduated from prestigious universities can provide a better-quality working environment.

Design/methodology/approach
Using a sample of 1,877 observations from all companies listed on the Indonesia Stock Exchange from 2019–2021, this research employs logistic OLS and coarsened exact matching (CEM) analyses to ensure robust results.

Findings
This study revealed that companies with CEOs who are alumni of a reputable university provide a high-quality working environment. These results are robust using the coarsened exact matching (CEM). Additional analyses exploring subindicators of working environment quality revealed that CEOs who have received an education from a reputable university have a better understanding of the importance of continuous education and training.

Practical implications
The findings of this study can provide guidance for managers and decision-makers in managing human resources and the work environment more effectively. By understanding the impact of high-quality education on leadership abilities in creating a supportive work environment, companies can be more strategic in recruiting and developing their leaders.

Originality/value
This study provides a unique contribution by providing empirical data on the quality of the working environment in Indonesia, specifically focusing on the role of CEOs from a reputable university as policy-makers, which has not been extensively explored in previous research.
An application of machine learning to classify food waste interventions from a food supply chain perspective
Authors: Zou Qiongfang , Bezuidenhout Carel Nicolaas , Ishrat Imran 
Published: July 2024

PurposeThe purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste interventions.Design/methodology/approachA literature review was undertaken to gather global food waste interventions. Subsequently, two ML models were designed and trained to classify these interventions into predefined supply chain-related groups and intervention types. To demonstrate the use of the models, a meta-analysis was performed to uncover patterns amongst the interventions.FindingsThe performance of the two classification models underscores the capabilities of ML in natural language processing, significantly enhancing the efficiency of text classification. This facilitated the rapid and effective classification of a large dataset consisting of 2,469 food waste interventions into six distinct types and assigning them to seven involved supply chain stakeholder groups. The meta-analysis reveals the most dominant intervention types and the strategies most widely adopted: 672 interventions are related to “Process and Operations Optimisation”, 457 to “Awareness and Behaviour Interventions” and 403 to “Technological and Engineering Solutions”. Prominent stakeholder groups, including “Processing and Manufacturing”, “Retail” “Government and Local Authorities” and “NGOs, Charitable Organisations and Research and Advocacy Groups”, are actively involved in over a thousand interventions each.Originality/valueThis study bridges a notable gap in food waste intervention research, a domain previously characterised by fragmentation and incomprehensive classification of the full range of interventions along the whole food supply chain. To the best of the authors’ knowledge, this is the first study to systematically classify a broad spectrum of food waste interventions while demonstrating ML capabilities. The study provides a clear, systematic framework for interventions to reduce food waste, offering valuable insight for practitioners in the food system, policymakers and consumers. Additionally, it lays the foundation for future in-depth research in the food waste reduction domain.
Speculation in investment in technology firms: a trust-based perspective
Authors: Rubin Eran , Iriberri Alicia , Ayaburi Emmanuel 
Published: July 2024

PurposeWe analyze the role of trust as a driver of speculative investment decisions in technology firms.Design/methodology/approachStructural Equation Modeling analysis in the context of blockchain technology supports our hypotheses.FindingsOur findings indicate that a general propensity to trust technology leads to trusting beliefs in a service based on technology and that trusting beliefs in a technological service leads to a higher propensity to invest in any firm associated with that service. In addition, we show that in a non-technological context, there is no evidence for such an effect of trusting beliefs in a service on investment decisions. These results support the notion that trusting beliefs are facilitators of speculative investment in technology firms.Research limitations/implicationsThe research advances knowledge about the influence of trust in technology on investment decisions; its findings can help build new theoretical models regarding investment decisions using Fintech.Practical implicationsFor investors, it is important to realize the potential bias identified in this study, so they can actively avoid adhering to it, thus avoiding exposure to unnecessary risk. Further, beyond individual investors, investment firms take active measures to avoid biases in their own decision-making. Banks and investment firms can help guide their clients about trust-based bias when building their investment portfolio.Originality/valueAlthough trust in information systems has been studied extensively, research on the relationship between trust in technology and decisions to invest in technology-related firms is limited.
Development of assessment criteria for elderly lateral torso deformity for 3D scan anthropometry
Authors: Han Hyunsook , Park Sunmi 
Published: July 2024

PurposeWe aimed to establish criteria for determining the deformed lateral torso type to identify individuals requiring measurement methods different from standard methods before extracting dimensions from three-dimensional (3D) scan data.Design/methodology/approachWe collected the 3D body scan data of 119 women aged 70–85 years collected in the 6th Size Korea. Three axes were defined to determine the deformation of the lateral shape, and the angle of each reference axis was used for the analysis. Additionally, to classify the lateral torso shape, 14 experts made visual judgments on the side-view images of the participants.FindingsTo identify the axis that best represented the lateral torso shape, we used each angle value of the three reference axes as an independent variable and the expert’s visual classification as a dependent variable. Each discriminant function was obtained and accuracy calculated. The whole torso axis exhibited the highest accuracy. Next, an assessment scale was developed to determine the shape of the lateral torso using the angular value of the whole torso axis.Originality/valueThe scale developed in this study has the potential to reduce measurement errors arising from elderly deformed torso shapes, thereby enhancing data reliability.
Inclusive entrepreneurship ecosystem for PwDs: a reflection on SDGs
Authors: Malhotra Snigdha , Kaur Tavleen , Jain Kokil , Pandey Prashant Kumar , Sengupta Aniket 
Published: July 2024

PurposePeople with disabilities (PwDs) encounter several impediments to employment prospects, contributing to India's huge employment gap. Entrepreneurship offers a different avenue for PwDs to overcome these constraints. Entrepreneurship Support Organizations (ESOs) play a significant role in assisting PwD entrepreneurs. The present study aims to explore challenges encountered by entrepreneurs with disabilities (EwDs) in starting or sustaining a business in an Indian ecosystem. The study further aims to examine the status of entrepreneurial outcomes while comprehending the intersection of the challenges of disability and entrepreneurship. The study draws on stakeholder and social identity theories to understand this critical connection.Design/methodology/approachA qualitative approach is applied to study the phenomenon. Semi-structured interviews were conducted with 13 EWDs and 5 ESOs to explore the challenges faced and the available support in the Indian context. The study explores the level of coordination and roles these organizations play in fostering an entrepreneurial culture for PWDs.FindingsThe research findings explore novel challenges and facilitators of entrepreneurial pursuits of EwDs. The study further offers implications for policymakers to foster inclusive infrastructure, financial institutions to provide accessible credit options, and ESOs to amplify tailored assistance. Importantly, these dynamics have implications for advancing relevant Sustainable Development Goals.Originality/valueThe intersectional lens of disability and entrepreneurial challenges offered to study PwD entrepreneurship highlights new directions for exploring the phenomenon in deeper detail. Further, the theoretical underpinnings of stakeholder and social identity theories provide practical and indispensable insights into the phenomenon.