bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans
Authors: Skelly Daniel A. , Graham John P. , Cheng Mingshan , Furuta Mayuko , Walter Andrew , Stoklasek Thomas A. , Yang Hongyuan , Stearns Timothy M. , Poirion Olivier , Zhang Ji-Gang , Grassmann Jessica D. S. , Luo Diane , Flynn William F. , Courtois Elise T. , Chang Chih-Hao , Serreze David V. , Menghi Francesca , Reinholdt Laura G. , Liu Edison T. 
Published: July 2024

AbstractIdentifying host genetic factors modulating immune checkpoint inhibitor (ICI) efficacy has been experimentally challenging because of variations in both host and tumor genomes, differences in the microbiome, and patient life exposures. Utilizing the Collaborative Cross (CC) multi-parent mouse genetic resource population, we developed an approach that fixes the tumor genomic configuration while varying host genetics. With this approach, we discovered that response to anti-PD-1 (aPD1) immunotherapy was significantly heritable in four distinct murine tumor models (H2between 0.18-0.40). For the MC38 colorectal carcinoma system (H2= 0.40), we mapped four significant ICI response quantitative trait loci (QTL) localized to mouse chromosomes (mChr) 5, 9, 15 and 17, and identified significant epistatic interactions between specific QTL pairs. Differentially expressed genes within these QTL were highly enriched for immune genes and pathways mediating allograft rejection and graft vs host disease. Using a cross species analytical approach, we found a core network of 48 genes within the four QTLs that showed significant prognostic value for overall survival in aPD1 treated human cohorts that outperformed all other existing validated immunotherapy biomarkers, especially in human tumors of the previously defined immune subtype 4. Functional blockade of two top candidate immune targets within the 48 gene network, GM-CSF and high affinity IL-2/IL-15 signaling, completely abrogated the MC38 tumor transcriptional response to aPD1 therapyin vivo. Thus, we have established a powerful cross speciesin vivoplatform capable of uncovering host genetic factors that establish the tumor immune microenvironment configuration propitious for ICI response.
Identifying and Forecasting Importation and Asymptomatic Spreaders of Multi-drug Resistant Organisms in Hospital Settings
Authors: Cui Jiaming , Heavey Jack , Klein Eili , Madden Gregory R. , Sifri Costi D. , Vullikanti Anil , Prakash B. Aditya 
Published: July 2024

AbstractHealthcare-associated infections (HAIs) from multi-drug resistant organisms (MDROs) pose a signif-icant challenge for healthcare systems. Patients can arrive at hospitals already infected (“importation”) or acquire infections during their stay (“nosocomial infection”). Many cases, often asymptomatic, com-plicate rapid identification due to testing limitations and delays. Although recent advancements in mathematical modeling and machine learning have aimed to identify at-risk patients, these methods face challenges: transmission models often overlook valuable electronic health record (EHR) data, while machine learning approaches typically lack mechanistic insights into underlying processes. To address these issues, we propose NeurABM, a novel framework that integrates neural networks and agent-based models (ABM) to leverage the strengths of both methods. NeurABM simultaneously learns a neural network for patient-level importation predictions and an ABM for infection identification. Our findings show that NeurABM significantly outperforms existing methods, marking a breakthrough in accurately identifying importation cases and forecasting future nosocomial infections in clinical practice.
Mobility restrictions and firms' decisions to adopt digital technologies during the COVID-19 pandemic: across industry sectors study
Authors: Ebaidalla Ebaidalla M. 
Published: July 2024

PurposeDespite the importance of digital technology in mitigating the adverse effects of the COVID-19 pandemic and related containment measures, limited research attention has been devoted to the impact of movement restrictions on digital business transformation in North Africa. This paper investigates the impact of mobility restrictions on firms' decisions to adopt digital technologies across sectors, emphasizing the challenges associated with accessing both customers and suppliers.Design/methodology/approachThe study uses the ERF COVID-19 MENA Monitor Enterprise survey (2021), covering 3,978 enterprises across three North African countries: Egypt, Tunisia and Morocco. The analysis employed the linear probability model (LPM) to account for observable and unobservable heterogeneity across countries and over time.FindingsThe results indicated that mobility restrictions have a positive impact on firms' decisions to adopt digital solutions during the COVID-19 pandemic across most industry sectors. Notably, firms operating in manufacturing, trade, retail and services demonstrated a higher likelihood to adopt technologies. However, the analysis revealed some variations in the impact of mobility restrictions across sectors and countries.Originality/valueThis study has several contributions. First, this study is unique in utilizing firm-level data gathered during the COVID-19 pandemic to investigate the impact of mobility restrictions on firms' decisions to adopt digital solutions. Second, the study examines the influence of mobility restrictions on digitalization across industry sectors, to the best of our knowledge, no empirical study has specifically focused on the digital business transformation across sectors.
Developing a climate for innovation index for architectural design firms
Authors: Nguyen Minh Van , Ha Khanh Duy , Nguyen Tu Thanh 
Published: July 2024

PurposeIn recent years, climate for innovation has attracted wide attention from industry and academia. It is perceived as a critical component of innovation performance in the built environment sector, especially in architectural design firms (ADFs). This study attempts to assess the degree of climate for innovation in the Vietnamese ADFs under the organizational climate theory.Design/methodology/approachA list of 13 innovation climate variables was found by reviewing previous studies and discussions with industry practitioners. These variables were then categorized into three principal factors (personal commitment, tolerance of difference, and support for creativity), forming the inputs of the fuzzy synthetic evaluation (FSE) analysis.FindingsThe results showed that the overall level of innovation in the climate is moderate, implying that it is still necessary for more improvements to the Vietnamese ADFs. The fuzzy analysis revealed that support for creativity was the most critical factor, followed by tolerance of difference and personal commitment.Originality/valueThe proposed climate for innovation model is practical and reliable for architectural professionals and can be applied to assess other research areas. Few studies have emphasized the innovation climate in the construction sector, so this research may broaden the knowledge and literature on the industry, especially for the ADFs.
The power of perception: how persuasion knowledge and perceived deception in advertisement impact brand-related fake news adoption
Authors: Verma Abhinav , Nayak Jogendra Kumar 
Published: July 2024

Purpose
This paper aims to explain how consumer persuasion knowledge and perceived deception in advertisements can influence consumers’ future evaluation of fake news about a brand.

Design/methodology/approach
This research develops a conceptual model using widely used persuasion knowledge theory and confirmation bias theory. A questionnaire-based online survey (n = 410) was conducted by displaying an advertisement stimulus followed by a fake news stimulus to test the model. Covariance-based structural equation modeling was used to analyze the hypothesized research model.

Findings
The results demonstrate that consumers with high persuasion knowledge are more likely to trust and adopt fake news about an advertised brand through the mediation of perceived deception in the advertisement. Additionally, perceived deception indirectly affects information adoption through the mediation of news credibility.

Practical implications
Theoretically, this study contributes to the existing body of literature on advertising deception and fake news. This research also extends theory of persuasion knowledge in understanding adoption of fake news. Practically, this study has significant implications for various stakeholders, including brands, social media corporations and consumers.

Originality/value
This research adds novel insights in the relationship of consumers’ persuasion knowledge and credibility and adoption of fake news. Furthermore, the investigation of the relationship between the perceived deception in advertising and the adoption of fake news has not been explored, which is also novel.
Promoting equity and social justice: analysing the global impact of educational laws on sex education in Spain and the United Kingdom
Authors: Alonso Martínez Laura , Vigo-Arrazola María Begoña 
Published: July 2024

PurposeGovernment’s role and sex education are vital in promoting inclusivity and sexual health. To understand the impact that the legislation has had on sex education, it is necessary to evaluate it at the different training levels.Design/methodology/approachThe method used is a critical review aimed at comparing educational and state legislation and its impact on Sex Education in Spain and the United Kingdom.FindingsIn most countries the compulsory contents in the curriculum are oriented to sexually transmitted infections and contraception. Nonetheless, this approach is deemed inadequate and restrictive, failing to cope with the challenges posed by globalization, including the increased spread of sexual infection. Legislative constraints hinder the comprehensive implementation of public health education strategies and social justice concerning sexuality.Research limitations/implicationsScope may miss legislative nuances and regional differences.Practical implicationsFindings emphasize comprehensive sex education to tackle modern challenges and to urge policy makers to incorporate these insights.Social implicationsEnhanced sex education laws foster health equity that will contribute to reducing violence and improving positive attitudes and behaviours.Originality/valueInsufficient analysis exists on the effects of ministry measures in sex education, connecting health, well-being and sustainability. This underscores the urgency of researching the legislative, educational and societal consequences, enabling interventions to address negative sexual attitudes and behaviours, including gender violence, biases against sexual diversity, emotional challenges, sexual freedom and health problems, based on respect for Human Sexual Rights.
The role of augmented reality in the customer shopping experience
Authors: Sahli Afef , Lichy Jessica 
Published: July 2024

Purpose
This article aims to explore the potential of augmented reality (AR) to enhance the customer shopping experience in the furniture industry. It aims to investigate how AR mobile apps can be used to provide a hedonic and utilitarian shopping experience for customers.

Design/methodology/approach
W administered an online questionnaire to 180 customers of the company “Cubitte Concept” (www.cubitteconcept.com), which specializes in the manufacture and design of furniture. This company allowed us to contact these customers to disseminate the questionnaire for gathering relevant information. Data collection lasted approximately three months, from July 3rd to October 5th, 2023, yielding 150 valid responses, which represented 85% of all collected questionnaires. The small sample size is justified by the problem of access to our target group, who are reluctant to be questioned in any way and try at all costs to protect their opinions and privacy. The following table describes the main characteristics of the sample.

Findings
The results indicate that customer experience, with its three hedonic, cognitive and utilitarian dimensions – along with interactivity, performance expectancy and effort expectancy – have a significant impact on purchase intention.

Research limitations/implications
The limitations of this investigation may open up future avenues of research where we can further explore the impact of AR technology on customer experience and purchase intention in other sectors, as well as study the moderating effects individual, social and cultural factors.

Practical implications
While the practical implications can help retailers develop effective strategies for integrating AR into their online shopping experiences. By understanding the potential benefits and challenges associated with AR, retailers can make informed decisions about its implementation and design effective AR applications that improve customer engagement and satisfaction. Therefore, these findings present an opportunity for a comprehensive understanding of how AR influences consumer behavior, empowering stakeholders to refine and optimize their AR marketing strategies. Notably, in Tunisia, AR usage is commonplace in the furniture industry. However, based on this study’s insights, we advocate for broader adoption and integration of AR across diverse sectors, including education, tourism, ready-to-wear and beyond.

Originality/value
This study presents a unique and novel analysis of AR in the furniture industry and contributes to the current understanding of the use of technology to enhance the customer experience and provide recommendations to professionals looking to implement augmented reality in their marketing strategy.
The mediation role of innovation in the relationship between total quality management and performance of small and medium scale enterprises
Authors: Tetteh Francis Kamewor , Nyantakyi Benjamin , Owusu Kwateng Kwame , Osei Hannah Vivian 
Published: July 2024

PurposeThis study examined the mediation-moderation role of innovation and market dynamism in the association between total quality management (TQM) practices and the performance of small and medium-scale enterprises' (SMEs') performance with empirical evidence from sub-Saharan Africa.Design/methodology/approachUsing a questionnaire, the research model developed was tested with responses from 203 owners and managers of SMEs in Ghana. The analyses were done using Statistical Package for the Social Sciences (SPSS) and Smart Partial Least Squares Structural Equation Modeling (PLS-SEM).FindingsThe innovation initiatives partially and fully mediated the relationship between TQM practices and the performance of SMEs. Also, the indirect effect of TQM practices of SMEs on performance through innovation initiatives was negatively moderated by market dynamism.Practical implicationsThe study contributes to the TQM literature by validating the indirect and direct relationship between TQM practices and performance in the context of SMEs in a developing region.Originality/valueThis paper presents a novel understanding of the relationship between TQM and SMEs in developing regions of the world. The paper serves as a guide for SME owners and managers to improve the performance of their organizations through TQM practices.
Twisted knowledge construction on X/Twitter: an analysis of constructivist sensemaking on social media leading to political radicalization
Authors: Russo Renato , Blikstein Paulo , Literat Ioana 
Published: July 2024

Purpose
This study aims to identify how Brazilian followers of an X/Twitter profile engage in theory-building processes leading up to the January 8, 2023 riots in Brasília, the Brazilian capital. This paper seeks to understand how cognitive and sociocultural processes weave together to weaponize collective knowledge construction that, in isolation, could be seen as virtuous but, in specific contexts, might lead to radicalization.

Design/methodology/approach
This study uses qualitative content analysis of comments on ambiguous X/Twitter posts published by a conspiratorial profile associated with former President Jair Bolsonaro. Content was published in the three weeks that preceded the coup d’état attempt by Bolsonaro supporters on January 8, 2023.

Findings
Findings point to users’ resorting to intuitive knowledge to support sensemaking processes in their search for subliminal meanings in tweets. That includes, for example, attempts to crack binary code-encrypted messages. This study also identified practices of cross-media sourcing, where users collect evidence from alternative social media channels to interpret messages containing verbal and visual information. Finally, this study found that religious symbols are often instrumentalized and become a lens through which followers organize information to integrate with their existing knowledge and assumptions.

Research limitations/implications
With this work, the authors build on existing scholarship on epistemologies used by conspiratorial and radicalized groups as they engage in systematic sensemaking and often refer to religion to interpret messages that motivate extreme political position-taking. This study addresses a similar phenomenon as it unfolds in an understudied geographical context (Brazil) and seeks to demonstrate how individuals engage in collective sensemaking practices. The authors hope that their findings inform educators as they explore the affordances of social media to foster positive collective learning experiences in reasoning supported by social media.

Originality/value
The originality of this study is twofold. First, this study uses an analytical lens that draws on the learning sciences and cognitive science for inquiry of radicalization happening around social media. The authors understand that social media lend themselves particularly interesting to the analysis, as they are settings where notions of mastery blur, and individuals engage in conversations on complex, controversial topics. With that engagement, they demonstrate willingness to reason collectively. Second, this study investigates how those phenomena unfold in an understudied context, responding to calls for more diversity in research in the learning sciences as well as in media studies.
The differential impact of IT investments in the long term: a long-horizon event study
Authors: Lim Chae-Lin , Jung Woo-Jin , Kim Yea Eun , Eom Chanyoung , Lee Sang-Yong Tom 
Published: July 2024

PurposeThis research investigates the differential impact of information technology (IT) investments based on their features, such as investment in data management capability, security improvement, IT outsourcing or new IT infrastructure. The Long-Horizon Event Study (LHES) is essential for providing a more appropriate measure of the value of IT investments because firms' strategic decisions often set long-horizon and large-scale organizational goals, and there is inherent uncertainty regarding future cash flows resulting from these investments. Therefore, the authors aim to analyze how announcements of IT investments affect the firm's abnormal stock returns over the long term and to compare the differential impact of different features of IT investment.Design/methodology/approachThe authors gathered IT investment announcements and stock data of listed firms in Korea between 2000 and 2018, and the monthly stock market returns over the 5 years after the announcements. To measure the differential impact of IT investments based on the investment features, the authors separate announcements data into five groups. A LHES is used to estimate the long-term effects of IT investment announcements.FindingsThe results indicate that announcements of IT investments had a long-term positive effect on firm performance. Additionally, the findings reveal differential effects of IT investments across industries and investment features. Notably, news of self-developed IT investments and IT investments in the manufacturing industry had significantly positive effects. However, contrary to common belief, announcements of investments in so-called essential IT areas such as data, security, or new IT infrastructure did not yield significant effects.Originality/valueAlthough the need for LHES has been emphasized in information systems research, few follow-up studies have been conducted since Barua and Mani (2018). This is primarily due to the challenges associated with collecting large-scale abnormal stock returns data over a long horizon. This research represents the first LHES to investigate the differential impact of IT investments based on their features. By doing so, this study can provide valuable insights for decision-makers within firms, helping them understand the time horizon of market outcomes of IT investments based on their features. Furthermore, this work extends the scope of LHES to comprehend the differential impacts of investment features. For instance, managers need to grasp that so-called essential IT investments, such as data management, security enhancements or new IT infrastructure, may not necessarily generate long-term market value.
Self-generated cues: the role of cue quality in facilitating eyewitness recall
Authors: Wheeler-Mundy Rebecca L. , Gabbert Fiona , Hope Lorraine 
Published: July 2024

Purpose
Witness-led techniques, informed by theory, have been recognized as best practice for eliciting information from cooperative eyewitnesses. This study aims to test a self-generated cue (SGC) mnemonic grounded in memory theory and explore the impact of three SGC mnemonics on subsequent recall performance.

Design/methodology/approach
Participants (N = 170) witnessed a live staged event and reported their recall using an SGC mnemonic (keywords only, event line or concept map) or control technique (other-generated cues or free recall only). These mock witness accounts were compared in terms of correct and incorrect details reported.

Findings
Fewer correct details were reported in the other-generated cue condition compared to the SGC event line (p = 0.018) and SGC concept map (p = 0.010). There were no significant differences between free recall alone and any other condition. The number of inaccurate details reported did not differ between conditions (p = 0.153). The findings suggest that high-quality free recall instructions can benefit recall performance above generic cues (e.g. other-generated cues) but using SGCs to support a structured recall (e.g. concept map or event line) may offer an additional recall benefit.

Originality/value
The findings support previous research that SGCs benefit recall beyond other-generated cues. However, by comparing different cue generation techniques grounded in the literature, we extend such findings to show that SGC generation techniques are not equally effective and that combining SGCs with structured recall is likely to carry the greatest benefit to recall.