bluuebunny/crossref_metadata_2025_split huggingface dataset:
An infrastructure for secure data sharing: a clinical data implementation
Authors: DeFranco Joanna F , Roberts Joshua , Ferraiolo David , Compton D Chris 
Published: May 2024

Abstract

Objective
To address database interoperability challenges to improve collaboration among disparate organizations.

Materials and Methods
We developed a lightweight system to allow broad but well-controlled data sharing while preserving local data protection policies. We used 2 NIST-developed technologies—Next-generation Database Access Control (NDAC) and the Data Block Matrix (DBM)—to create a proof-of-concept system called the Secure Federated Data Sharing System (SFDS). NDAC controls access to database resources down to the field level based on attributes assigned to users. The DBM manages and shares authoritative user-attribute assignments across a federation of organizations, implemented using a modified open-source permissioned blockchain, to manage and share authoritative user-attribute assignments across a federation of organizations. We used synthetic data to demonstrate a clinical research data-sharing use case using the SFDS.

Results
We demonstrated, through consent, the onboarding of previously unknown users into NDAC via assignments to their DBM-validated attributes, allowing those users policy-preserving access to local database resources. The SFDS main system components—NDAC and DBM—also showed excellent performance metrics.

Discussion
The SFDS provides a generic data-sharing infrastructure that effectively and securely achieves data-sharing objectives. It is completely transparent to the otherwise normal business operations of participating organizations. It requires no changes to database management systems or existing methods of authenticating and authorizing local user access to local resources.

Conclusion
This efficiency, flexibility of deployment, and granularity of control make this new infrastructure solution practical for meeting the data-sharing and protection objectives of the clinical research community.
50 Years of Context Effects: Merging the Behavioral and Quantitative Perspectives
Authors: Evangelidis Ioannis , Bhatia Sudeep , Levav Jonathan , Simonson Itamar 
Published: May 2024

Abstract
Over the past 50 years, consumer researchers have presented extensive evidence that consumer preference can be swayed by the decision context, particularly the configuration of the choice set. Importantly, behavioral research on context effects has inspired prominent quantitative research on multialternative decision-making published in leading psychology, management, economics, and general interest journals. While both streams of research seem to agree that context effects are an important research area, there has been relatively limited interaction, communication, and collaboration between the two research camps. In this article, we seek to initiate an active dialogue between the two sides. We begin by providing a critical overview of the two literatures on context effects, discussing both their strengths and weaknesses, as well as disparities and complementarities. Here, we place particular emphasis on deepening consumer researchers’ understanding of context effects by drawing on prominent quantitative research published in non-marketing journals over the last decades. Importantly, we provide a roadmap for the future that can inspire further research and potential collaborations between the two camps, overcoming silos in knowledge creation.
Leveraging Digital Advertising Platforms for Consumer Research
Authors: Braun Michael , de Langhe Bart , Puntoni Stefano , Schwartz Eric M 
Published: May 2024

Abstract
Digital advertising platforms have emerged as a widely utilized data source in consumer research; yet, the interpretation of such data remains a source of confusion for many researchers. This article aims to address this issue by offering a comprehensive and accessible review of four prominent data collection methods proposed in the marketing literature: “informal studies,” “multiple-ad studies without holdout,” “single-ad studies with holdout,” and “multiple-ad studies with holdout.” By outlining the strengths and limitations of each method, we aim to enhance understanding regarding the inferences that can and cannot be drawn from the collected data. Furthermore, we present seven recommendations to effectively leverage these tools for programmatic consumer research. These recommendations provide guidance on how to use these tools to obtain causal and non-causal evidence for the effects of marketing interventions, and the associated psychological processes, in a digital environment regulated by targeting algorithms. We also give recommendations for how to describe the testing tools and the data they generate and urge platforms to be more transparent on how these tools work.
How Much Have We Learned about Consumer Research? A Meta-Meta-Analysis
Authors: Eisend Martin , Pol Gratiana , Niewiadomska Dominika , Riley Joseph , Wedgeworth Rick 
Published: May 2024

Abstract
This meta-meta-analysis study quantifies the development of scientific knowledge in consumer research by summarizing the findings of 222 meta-analyses that together include 2481 meta-analytic effect sizes. The results provide an overview of how much we know and how knowledge has developed in consumer research over time. By explaining 7.8% variance (r = 0.28) in consumer-relevant dependent variables, the findings show that consumer research, a comparatively young discipline, is relatively effective at knowledge development compared to other disciplines. Furthermore, the accumulation of knowledge is significantly increasing, suggesting that our discipline is still in the growing phase of its life cycle and generating continuously improving explanations of consumer-related phenomena. The development of knowledge varies across consumer-relevant dependent variables, with strong explanations for relationships but significantly weaker ones for memory, affect, and attitudes. Moreover, the knowledge synthesized in meta-analyses is fairly—though not fully—representative of the content of primary research on consumers overall. The findings convey a future research agenda by identifying under-researched areas, advising on the selection of dependent variables, providing indicators for the expected contributions of future studies, suggesting implications for career strategies of consumer researchers, and discussing explanations for the observed knowledge growth effects.
Consumer Trust: Meta-Analysis of 50 Years of Empirical Research
Authors: Khamitov Mansur , Rajavi Koushyar , Huang Der-Wei , Hong Yuly 
Published: May 2024

Abstract
Trust is one of the highly important concepts of consumer research; yet it is characterized by a striking lack of generalizations and consensus regarding the relative strength of its antecedents, consequences, and moderators. To close this important gap, the current research reports a comprehensive large-scale meta-analysis shedding light on a wide variety of the antecedents, consequences, and moderators of the individual consumer’s trust and their relative importance. Empirical generalizations are based on 2,147 effect sizes from 549 studies across 469 manuscripts in numerous disciplines, representing a total of 324,834 respondents in 71 countries over a five-decade span (1970–2020). The key findings are thus that (1) integrity-based (vs. reliability-based) antecedents are more effective in driving trust, and (2) trust is more effective in improving primarily attitudinal (vs. primarily behavioral) outcomes. Moderation analyses unpack further heterogeneity. Notably, both integrity-based and reliability-based antecedents have become stronger drivers of consumer trust in recent years. Theoretical and practical contributions are discussed in addition to advancing important future directions.
Unraveling Impact: Exploring Effects of Novelty in Top Consumer Research Journals
Authors: Wang Xin (Shane) , Ryoo Jun Hyun (Joseph) , Campbell Margaret C , Inman J Jeffrey 
Published: May 2024

Abstract
This research studies the impact of articles appearing in the top four journals for consumer research—JCR, JMR, JM, and JCP—by examining factors that influence scholarly, public, and practical impact. This conceptually distinguishes between “incongruent novelty” (novelty arising from incongruity between an article and other existing articles) and “recombinant novelty” (novelty based on drawing from more disparate references). Incongruent novelty is decomposed into two components: (1) topic incongruity—incongruity between an article's topic and other existing topics at the time and (2) article incongruity—incongruity between an article and other existing articles on the same primary topic. By integrating topic modeling and word embedding to measure these constructs, we demonstrate varying impacts of types of novelty on three types of impact. Overall, our findings illustrate that topic and article incongruity have effects above and beyond recombinant novelty. For both scholarly and public impact, our results suggest that moderately high topic incongruity has the largest influence, suggesting that researchers should address novel topics. Additionally, scholarly citations are positively affected by lower and higher (vs. moderate) levels of article incongruity, suggesting that researchers either engage in programmatic research or add a new approach to the existing research on a topic.
Taking the Full Measure: Integrating Replication into Research Practice to Assess Generalizability
Authors: Urminsky Oleg , Dietvorst Berkeley J 
Published: May 2024

AbstractIn this article, we review the ways in which replication has been and could be featured in consumer behavior, using Journal of Consumer Research as a specific setting. We present a framework for thinking about the generalizability of research findings and differentiate various potential benefits that replication can have for understanding variability in consumer research findings. We then define four different types of replications, describe how researchers can use these approaches to produce distinct benefits, and give guidance regarding conducting, interpreting, and the potential contributions of these different types of replications. We conclude with a discussion of various ways in which replication could be more fully integrated into different phases of the scientific research process, taking into account the contribution necessary for publication. In particular, we identify opportunities to incorporate independent replication into original papers, to increase the replication-based contribution in papers that build on prior work, and to use systematic replication in conjunction with meta-analysis to synthesize and confirm conclusions from a mature research literature. More fully integrating replication into scientific practice can yield a new equilibrium, in which replication is routine, typically consistent with previous results, and recognized as necessary for establishing an empirical generalization.
The Future of Consumer Research Methods: Lessons of a Prospective Retrospective
Authors: Wood Stacy 
Published: May 2024

Abstract
Looking back at 50 years of Journal of Consumer Research methods and interviewing some of the field’s most respected methodologists, this article seeks to craft a core set of best practices for scholars in consumer research. From perennial issues like conceptual validity to emerging issues like data integrity and replicability, the advice offered by our experts can help scholars improve the way they approach their research questions, provide empirical evidence that instills confidence, use new tools to make research more inclusive or descriptive of the “real world,” and seek to become thought leaders.
Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems
Authors: Michelena Álvaro , Zayas-Gato Francisco , Jove Esteban , Casteleiro-Roca José-Luis , Quintián Héctor , Fontenla-Romero Óscar , Luis Calvo-Rolle José 
Published: May 2024

Abstract
The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time identification technique Recursive Least Squares. In order to find anomalies, the approach compares the present system dynamics with the average (centroid) of the dynamics found in earlier states for a given setpoint. The system labels the dynamics difference as an anomaly if it rises over a determinate threshold. To validate the proposal, two different datasets obtained from a level control plant operation have been used, to which anomalies have been artificially added. The results shown have determined a satisfactory performance of the method, especially in those processes with low noise.
Real-world outcomes of ponatinib treatment in 724 patients with CML and Ph+ ALL: a post-marketing surveillance study with a special interest in arterial occlusive events in Japan
Authors: Takahashi Naoto , Kondo Takeshi , Ikari Yuji , Fukumoto Yoshihiro , Hatake Kiyohiko , Masunari Akira , Nishibayashi Seiji , Kageyama Akiko , Fukuta Yasuhiko , Tojo Arinobu 
Published: May 2024

Abstract

Background
In September 2016, ponatinib was approved in Japan for the treatment of patients with chronic myeloid leukemia with resistance/intolerance to prior tyrosine kinase inhibitors and patients with relapsed or refractory Philadelphia chromosome-positive acute lymphoblastic leukemia.

Methods
We conducted a post-marketing all-case surveillance to study the safety and efficacy of ponatinib in clinical practice, focusing on arterial occlusive events.

Results
Data from 724 patients were collected for 2 years from the initiation of ponatinib. The arterial occlusive events were reported in 6.49% (47/724) with an exposure-adjusted incidence rate of 6.8/100 person-years. The risks associated with arterial occlusive events were age and comorbidities including hypertension and diabetes. At 104 weeks, the cumulative major molecular response rate in patients with chronic-phase chronic myeloid leukemia was 67.2% and the complete cytogenetic response in patients with Philadelphia chromosome-positive acute lymphoblastic leukemia was 80.0%. Furthermore, the estimated 1-year overall survival rate was 98.5% for chronic-phase chronic myeloid leukemia and 68.6% for Philadelphia chromosome-positive acute lymphoblastic leukemia.

Conclusions
This surveillance demonstrated that ponatinib has a favorable safety and efficacy profile in Japanese patients and also showed the necessity of closely monitoring arterial occlusive events in older adults and patients with predisposing factors for atherosclerosis.
Cholinesterase as a predictor of skeletal muscle loss after gastrectomy for gastric cancer
Authors: Takano Yasuhiro , Kai Wataru , Kanno Hironori , Hanyu Nobuyoshi 
Published: May 2024

Abstract

Background
Cholinesterase is a classical nutritional and inflammatory marker. The aim of the present study was to evaluate the value of cholinesterase as a predictive marker for postoperative skeletal muscle loss after gastrectomy for gastric cancer.

Methods
The study comprised 68 patients who had undergone gastrectomy for gastric cancer. Skeletal muscle mass was evaluated using skeletal mass index, and major skeletal muscle loss was defined as less than or equal to the median change rate (1-year postoperative/preoperative) of skeletal mass index in all patients. We explored the relationship between postoperative major skeletal muscle loss and disease-free survival and overall survival. Then we investigated the relationship between change rate of skeletal muscle index and serum cholinesterase levels after gastrectomy.

Results
The median value of change rate of skeletal mass index was 0.93. Postoperative major skeletal muscle loss was significantly associated with disease-free survival after gastrectomy (P = 0.003). Although major skeletal muscle loss had worse overall survival, it was not significant (P = 0.058). The change rate of skeletal mass index and cholinesterase had a stronger positive correlation compared with other nutritional indices according to Spearman's rank correlation coefficient (r = 0.438, P ≤ 0.001).

Conclusion
Evaluation of serum cholinesterase levels may be valuable for predicting postoperative skeletal muscle loss after gastrectomy, suggesting the importance of cholinesterase in postoperative nutritional management of patients with gastric cancer.
Treponema pallidum recombinant protein Tp0768 enhances the ability of HUVECs to promote neutrophil chemotaxis through the TLR2/ER stress signaling pathway
Authors: Cao Ting , Li Yue , Zhou Xiangping , Tang Yun , He Bisha , Cao Qian , Hu Yibao , Chen En , Li Yumeng , Xie Xiaoping , Zhao Feijun , Lan Xiaopeng , Liu Shuangquan 
Published: May 2024

Abstract
Neutrophils are essential cells involved in inflammation. However, the specific mechanism of neutrophil chemotaxis induced by Treponema pallidum remains unknown. In this study, human umbilical vein endothelial cells (HUVECs) were utilized as target cells to investigate the expression levels of chemokines when stimulated with different concentrations of Tp0768 (also known as TpN44.5 or TmpA, a T. pallidum infection dependent antigen). The results indicated that Tp0768 treatment enhanced neutrophil chemotaxis in HUVECs, which was closely associated with the expression levels of CXCL1, CXCL2, and CXCL8 (also known as interleukin-8). At the same time, the results show that the Toll-like receptor 2 (TLR2) signaling pathway is activated and that endoplasmic reticulum (ER) stress occurs. Furthermore, the findings revealed that the use of protein kinase RNA-like endoplasmic reticulum kinase (PERK) and immunoglobulin-regulated enhancer 1 (IRE1) inhibitors reduced the expression levels of CXCL1, CXCL2, and CXCL8. Additionally, inhibiting TLR2 significantly decreased the expression levels of ER stress–related proteins (PERK and IRE1), CXCL1, CXCL2, and CXCL8. Consequently, neutrophil chemotaxis was significantly inhibited after treatment with TLR2, PERK, and IRE1 inhibitors. These findings shed light on the role of Tp0768 in enhancing neutrophil chemotaxis in endothelial cells, providing a foundation for further exploration of syphilis pathogenesis and offering a new direction for the diagnosis and treatment of T. pallidum infection.
Proceedings of the second international meeting on endemic mycoses of the Americas (IMEMA) and first international symposium on implantation mycoses (ISIM)
Authors: Fernandez Norma B , Cáceres Diego H , Serrano Julian A , Bonifaz Alexandro , Canteros Cristina E , Suarez-Alvarez Roberto , Oliveira Rosely Maria Zancope , Cognialli Regielly C R , de Macedo Priscila Marques , Gomez Beatriz L , Tobon Angela M , Taborda Carlos , Chiller Tom , Brunelli Jose Guillermo Pereira , Smith Dallas J , de Melo Teixeira Marcus , Queiroz-Telles Flavio , Garcia-Effron Guillermo , Ardizzoli Karina , Negroni Ricardo , Giusiano Gustavo 
Published: May 2024

Abstract
The second international meeting on endemic mycoses of the Americas (IMEMA) and the first international symposium on implantation mycoses (ISIM) took place in Santiago del Estero, Argentina, on September 25–27, 2023. The conference provided a platform for researchers, clinicians, and experts to discuss the latest developments in the field of endemic and implantation mycoses. Topics included epidemiology, diagnostic advances, treatment strategies, and the impact of environmental factors on the spread of these fungal diseases. IMEMA and ISIM contributed to the regional discourse on the mycoses, emphasizing the importance of international cooperation in addressing these public health challenges.
The debris of the ‘last major merger’ is dynamically young
Authors: Donlon Thomas , Newberg Heidi Jo , Sanderson Robyn , Bregou Emily , Horta Danny , Arora Arpit , Panithanpaisal Nondh 
Published: May 2024

ABSTRACT
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the ‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space, because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago. We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data 1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’ did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within the last few Gyr, consistent with the body of work surrounding the VRM.
ComPACT: combined Atacama Cosmology Telescope + Planck galaxy cluster catalogue
Authors: Voskresenskaia S , Meshcheryakov A , Lyskova N 
Published: May 2024

ABSTRACT
Galaxy clusters are the most massive gravitationally bound systems consisting of dark matter, hot baryonic gas, and stars. They play an important role in observational cosmology and galaxy evolution studies. We develop a deep learning model for segmentation of Sunyaev–Zeldovich (SZ) signal on Atacama Cosmology Telescope (ACT) + Planck intensity maps and construct a pipeline for microwave cluster detection in the ACT footprint. The proposed model allows us to identify previously unknown galaxy clusters, i.e. it is capable of detecting SZ sources below the detection threshold adopted in the published galaxy clusters catalogues [such as ACT DR5 and Planck Sunyaev–Zeldovich 2 (PSZ2)]. In this paper, we use the derived SZ signal map to considerably improve a cluster purity in the extended catalogue of Sunyaev–Zeldovich objects from Planck data (SZcat) in the ACT footprint. From SZcat, we create a new microwave galaxy cluster catalogue (ComPACT), which includes 2962 SZ objects with cluster purity conservatively estimated as ≳74–84 per cent. We categorize objects in the catalogue into three categories, based on their cluster reliability. Within the ComPACT catalogue, there are ≳977 new clusters with respect to the ACT DR5 and PSZ2 catalogues.