bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to shape communication for CO2-derived insulation boards considering different accepter profiles
Authors: Simons Lisanne , Ziefle Martina , Arning Katrin 
Published: September 2023

AbstractClimate change is a constant global challenge. An approach to help mitigate climate change is carbon capture and utilization (CCU), in which captured CO2 is reused as raw material for consumer products. Because innovations like CCU are unfamiliar to the general public, their communication is critical for a successful rollout. To date, sustainability innovation research has largely neglected the empirical study of communication. The present study contributes to studying the information and communication needs of laypeople based on perceptions and acceptance patterns for CCU by focusing on acceptance profiles for CCU-based insulation boards. In an empirical two-step approach, a qualitative interview prestudy was followed by a quantitative questionnaire measurement (N = 643). Using k-means clustering, the respondents were divided into three acceptance groups: rejecters (15%), tentative accepters (51%), and strong accepters (34%). Analysis showed that regarding their demographics and personality traits, tentative accepters and rejecters were similar. All segments trusted science and health experts best, and only the rejecters distrusted some specific actors. Information on the product’s risks and functional properties was most important for all acceptance groups. Based on the study’s insights, both general and targeted managerial communication and policy guidelines were formulated.
Clinical Validation of a Primary Antibody Deficiency Screening Algorithm for Primary Care
Authors: Messelink Marianne A. , Welsing Paco M. J. , Devercelli Giovanna , Marsden Jan Willem N. , Leavis Helen L. 
Published: September 2023

Abstract
Purpose
The diagnostic delay of primary antibody deficiencies (PADs) is associated with increased morbidity, mortality, and healthcare costs. Therefore, a screening algorithm was previously developed for the early detection of patients at risk of PAD in primary care. We aimed to clinically validate and optimize the PAD screening algorithm by applying it to a primary care database in the Netherlands.

Methods
The algorithm was applied to a data set of 61,172 electronic health records (EHRs). Four hundred high-scoring EHRs were screened for exclusion criteria, and remaining patients were invited for serum immunoglobulin analysis and referred if clinically necessary.

Results
Of the 104 patients eligible for inclusion, 16 were referred by their general practitioner for suspected PAD, of whom 10 had a PAD diagnosis. In patients selected by the screening algorithm and included for laboratory analysis, prevalence of PAD was ~ 1:10 versus 1:1700–1:25,000 in the general population. To optimize efficiency of the screening process, we refitted the algorithm with the subset of high-risk patients, which improved the area under the curve–receiver operating characteristics curve value to 0.80 (95% confidence interval 0.63–0.97). We propose a two-step screening process, first applying the original algorithm to distinguish high-risk from low-risk patients, then applying the optimized algorithm to select high-risk patients for serum immunoglobulin analysis.

Conclusion
Using the screening algorithm, we were able to identify 10 new PAD patients from a primary care population, thus reducing diagnostic delay. Future studies should address further validation in other populations and full cost-effectiveness analyses.

Registration
Clinicaltrials.gov record number NCT05310604, first submitted 25 March 2022
Peripheral T Cell Populations are Differentially Affected in Familial Mediterranean Fever, Chronic Granulomatous Disease, and Gout
Authors: Al Burcu , Bruno Mariolina , Röring Rutger J. , Moorlag Simone J. C. F. M. , Suen Tsz Kin , Klück Viola , Liu Ruiqi , Debisarun Priya A. , Gaal Orsolya , Bhat Jaydeep , Kabelitz Dieter , van de Veerdonk Frank L. , Joosten Leo A.B. , Netea Mihai G. , Placek Katarzyna 
Published: September 2023

AbstractBoth innate errors of immunity, such as familial Mediterranean fever (FMF) and chronic granulomatous disease (CGD), and the common inflammatory disease gout are characterized by episodes of sterile inflammatory attacks in the absence of an infection. While these disorders encompass distinct pathologies due to differentially affected metabolic pathways and inflammasome activation mechanisms, their common features are the excessive production of interleukin (IL)-1ß and innate immune cell hyperreactivity. On the other hand, the role of T cells and innate-like lymphocytes such as gamma delta (γδ) T cells in these pathologies is ill-defined. In order to widen our understanding of T cell involvement in CGD, FMF and gout pathology, we developed multicolour immunophenotyping panels for flow cytometry to characterize γδ T cells as well as CD4 and CD8 T cell populations in terms of their cytokine production, activation status, memory or naive phenotypes, exhaustion status, homing receptor expression, and cytotoxic activity. Our study is the first deep immunophenotyping analysis of T cell populations in CGD, FMF, and gout patients. We found that CGD affects the frequencies and activation status of T cells, while gout impairs the cytokine production capacity of Vδ2 T cells. FMF was characterized by decreased percentages of regulatory T cells in circulation and attenuated IFN-γ production capacity by Vδ2 T cells. Autoinflammatory syndromes and congenital defects of phagocyte differentially affect T cell compartments. Future studies are warranted to assess whether these phenotypical changes are relevant for disease pathology.
Violent Entanglements: Intimate Partner Violence in LGBTIQ + People’s Relationships
Authors: Lahti Annukka 
Published: September 2023

Abstract
Purpose
This article analyzes violence and abuse in LGBTIQ + people’s former relationships. Combining assemblage theory with intersectionality, it rethinks queer and feminist understandings by analyzing intimate partner violence as assemblages. This offers a nuanced approach that does not rely on simplistic causal models.

Methods
The article draws on a dataset of interviews with separated LGBTIQ + people, 30 in Finland and 28 in England. It focuses on 13 interviewees who gave accounts of mental, physical, and sexual violence within previous relationships. Following a Deleuze-inspired rhizomatic methodology, the analysis “enters in the middle” of complex abusive assemblages and identifies the most central elements and affective entanglements that helped to maintain and/or diminish the abuse.

Results
Assemblages that engender and maintain abuse are complex and multiple. Nevertheless, they are not random: the rhizomatic workings of heteronormativity, the social status of LGBTIQ + relationships, and gender-related elements entangle in assemblages that amplify the effects of abuse and constrain participants’ bodies.

Conclusions
Abuse in LGBTIQ + people’s relationships can be understood through the posthuman theoretical idea of distributed agency: abuse gains force in and through its entanglements with other elements within an assemblage. This does not absolve abusive persons of responsibility for their actions. Rather, it reveals that the efficacy of agency depends on the interactive forces and elements within an assemblage. Abuse and violence often accumulate, as the exposure of bodies to injurious conditions produces affective relations that can become patterned in LGBTIQ + people’s lives.
Gambling Behavior of Excluded Gamblers in a Multi-venue Exclusion System: Results from a Three-Wave Survey Conducted in Switzerland
Authors: Lischer Suzanne , Schwarz Jürg , Wallimann Hannes , Mathys Jacqueline 
Published: September 2023

AbstractGamblers enrolled in the Swiss Multi-Venue Exclusion Program completed a written questionnaire three times, at six-month intervals. In addition to sociodemographic information, they provided details of their gambling behavior, and completed the South Oaks Gambling Screen-Revised (SOGS-R). The excluded gamblers were compared to a control group of non-excluded gamblers who also completed the questionnaire. The baseline survey demonstrated that there was a significant association between gamblers status (excluded n = 87 and non-excluded n = 259) and income (p = .039), as well as debt situation (p < .001) and SOGS-R score classification (p < .001). Over the course of three surveys, 242 gamblers participated. Of these, 133 respondents were not excluded from casinos at any time, 33 were excluded at the time of the first survey wave and remained so, while the exclusion status of 76 respondents changed over time, thus they were excluded for a minimum of one wave. Overall, 12.1% of excluded individuals stopped gambling altogether. Although exclusion is circumvented by some gamblers, it is associated with significant reductions in frequency, duration, and expenditure, as well as severity of problem gambling. The effects were more significant among gamblers who were excluded from casinos during the entire survey period. The results suggest that the duration of an exclusion should be at least six months instead of the current three months. 62.6% of the excluded gamblers had at least one exclusion lifted during the survey period. Further research is needed to investigate the implications of repeated exclusions for gambling-specific problems.
The Boomerang Effect of Suppression of Emotional Expression: Relationship Power, Affectivity and Adolescent and Youth Male-To-Female Dating Violence
Authors: Landa Silvia Ubillos , González Sandra Nieto , Martínez Alicia Puente , Leiva Marcela Gracia , Castro José Luis González 
Published: September 2023

AbstractScarce research has been performed on the role of power, affectivity, and suppression of emotional expression in the use of dating violence by adolescents and young men. This study aims to analyze a model of the associations between perceived power (control and dominance), affectivity (positive and negative affect), suppression of emotional expression and the frequency of use of male-to female dating violence. Participants in this cross-sectional and correlational study were 786 Spanish students aged between 13 and 25 years (M = 18.80; SD = 2.93) divided in two groups: 13–18 (316 adolescents, M = 15.58; SD = 1.02) and 18–25 (462 young men, M = 20.79; SD = 1.98) with 8 participants not stating their age. Different sequential mediation models confirmed that, only in young men, affectivity (negative and positive affect) and suppression of emotional expression mediate the relationship between power and the use of dating violence. Fostering equal relationships, associating them with positive emotional states, avoiding the frustration derived from low power perception, and providing young men with strategies for appropriately expressing their emotions may help decrease the use of dating violence.
To Me My X-Men: An Analysis of the European Union’s Engagement with International Intellectual Property Law Through the Prism of a Trade Agreement with the Mutant Nation of Krakoa
Authors: Sunner Liam 
Published: September 2023

AbstractThe purpose of this Article is to examine the European Union’s external relations with the hypothetical mutant nation of Krakoa through the perspective of intellectual property and human rights filtered through a trade agreement between the parties. In doing so, the potential trade agreement with Krakoa allows for the critical reflection of the scope and application of international intellectual property protection, enforcement, and development but also allows for challenges to this existing standard that are not possible elsewhere due to broader economic and political reasons. It discusses the progressive inclusion of TRIPS-Plus provisions in EU international agreements and how this sets the stage for this trade agreement. This paper identifies the extent to which the EU is seeking higher levels of intellectual property protection in the global sphere and discusses to what extent the use of TRIPS-Plus provisions has clashed with the objective of the promotion and protection of human rights in the EU external action. In essence, what can be learned from a trade agreement between the EU and Krakoa, and how this can be applied to future negotiations of the EU and its trading partners at the international level.
Redact to React: Deconstructing Justice with Erasure Poetry
Authors: Coyle Sarah-Jane 
Published: September 2023

AbstractThe purpose of this article is to consider the philosophy, form and function underpinning erasure poetry. Erasure is a creative practice involving redaction or the striking through of certain words, phrases, or paragraphs in found documents and materials. The poetic form is comprised of what is left behind. The form has grown in popularity in recent years due to the advent of social media and the fact that erasure poems’ pictorial format is easily shared online. This article suggests that the poststructuralist philosophy underpinning the form is also key to its traction insofar as it enables poets to expose the fallacy of justice communicated by official documents such as court transcripts and government reports. In examining traditional conceptions of the page as interface and the authority of inscription, I will explore the extent to which erasure poetry heralds a new collaborative and democratic form of poetics. By conducting a close reading of two erasure texts—M NourbeSe Philip’s Zong! and Nicole Sealey’s ‘Pages 1–4’, an excerpt from The Ferguson Report: An Erasure—I will argue that erasure poetry has the potential to reinvigorate postcolonial studies, drawing parallels between erasure and the censorship of black lives.
Serum long noncoding RNA H19/micro RNA-675-5p axis as a probable diagnostic biomarker in inflammatory bowel disease
Authors: Shaker Olfat G. , Safa Aya , Khairy Ahmed , Abozeid Naglaa F. 
Published: September 2023

Abstract
Background
A significant body of research strengthens the starring role of long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) in the pathogenesis of inflammatory bowel disease (IBD). Here, we investigated the diagnostic utility of lncRNA H19 and miRNA-675-5p in IBD.

Methods
This study included 97 participants, thirty-five ulcerative colitis patients, thirty-two Crohn’s disease patients, and thirty IBD-free controls. History, staging, laboratory investigations, and colonoscopy were performed. Also, quantitative real-time PCR (qPCR) for revealing of lncRNA H19 and miRNA-675-5p was done.

Results
The estimated serum levels for H19 and miRNA-675-5p in the UC and CD groups in comparison to the control group showed a high statistical difference (P = 0.0001 for each parameter). Based upon the severity of UC patients, both biomarkers showed significantly higher values between remission and moderate cases, with p-values 0.022 and 0.02, respectively. Meanwhile, in CD patients, both biomarkers revealed no statistical significance between remission and any active stage of the disease. Additionally, ROC analysis revealed that H19 could discriminate between UC and control subjects with 94.3% sensitivity and 90.0% specificity, and with 87.5% sensitivity, and 88.5% specificity in the CD group. Furthermore, miR-675-5p was able to discriminate between UC and control subjects with 85.7% sensitivity and 97.3% specificity and with 88.4% sensitivity, 95.2% specificity in the CD group. Logistic regression found a significant predictive utility of using miR-675-5p and H19 in IBD.

Conclusion
H19 and miRNA-675-5p can be used as diagnostic biomarkers in IBD, with superiority in UC patients with moderate activity.
Research on Hybrid Data Clustering Algorithm for Wireless Communication Intelligent Bracelets
Authors: Sun Jian-zhao , Yang Kun , Woźniak Marcin 
Published: September 2023

AbstractWireless communication smart bracelet data include motion data, sleep time data, heart rate and blood pressure data and positioning data, etc. These data have diversity and high complexity, and there are interconnections or interactions between the data, which have high clustering difficulty. To this end, a new data clustering algorithm is studied for wireless communication smart bracelets. The K-medoids algorithm is used to calculate the intra-cluster, inter-cluster, or overall similarity to complete the initial clustering of the bracelet data. Setting the clustering evaluation index can determine the optimal number of clusters. The data objects that are closely surrounded and relatively dispersed are selected as the initial clustering centers and combined with the new index IXB to complete the improvement of the data clustering algorithm. The test results show that the accuracy, recall, and F1 of the research algorithm for clustering the heart rate monitoring dataset, temperature monitoring dataset, energy consumption dataset, and sleep monitoring dataset are higher than 97%, which indicates that the data clustering effect of the algorithm is good.
A review of image watermarking for identity protection and verification
Authors: Sharma Sunpreet , Zou Ju Jia , Fang Gu , Shukla Pancham , Cai Weidong 
Published: September 2023

AbstractIdentity protection is an indispensable feature of any information security system. An identity can exist in the form of digitally written signatures, biometric information, logos, etc. It serves the vital purpose of the owners’ verification and provides them with a safety net against their imposters, so its protection is essential. Numerous security mechanisms are being developed to achieve this goal, and information embedding is prominent among all. It consists of cryptography, steganography, and watermarking; collectively, they are known as data hiding (DH) techniques. In addition to providing insight into various DH techniques, this review prominently covers the image watermarking works that have positively influenced its relevant research area. To that end, one of the main aspects of this study is its inclusive nature in reviewing watermarking techniques, via which itaimsto provide a 360$$^{\circ }$$∘view of the watermarking technology. The main contributions of this study are summarised below.The proposed study covers more than 100 major watermarking works that have positively influenced the field and continue to do so. This approach makes the discussion effective as it allows us to pivot on the vital watermarking works that have positively influenced the research area instead of just highlighting as many existing methods as possible. Moreover, it also empowers us to provide the readers with an insight into the current research trends, the pros and cons of the state-of-the-art methods, and recommendations for future works.In addition to reviewing the state-of-the-art watermarking works, this study solves the issue of reverse-engineering the main existing watermarking methods. For instance, most recent surveys have focused primarily on reviewing as many watermarking works as possible without probing into the actual working of the techniques. This approach can leave the readership without a vital understanding of implementing or reverse-engineering a watermarking method. This issue is especially prevalent among newcomers to the watermarking field; hence, this study presents the breakdown of the well-known watermarking techniques.A new systematisation of classifying existing watermarking methods is proposed. It classifies watermarking techniques into two phases. The first phase divides watermarking methods into three categories based on the domain employed during watermark embedding. The methods are further classified based on other watermarking attributes in the following phase.
CISO: Co-iteration semi-supervised learning for visual object detection
Authors: Qi Jianchun , Nguyen Minh , Yan Wei Qi 
Published: September 2023

AbstractSemi-supervised learning offers a solution to the high cost and limited availability of manually labeled samples in supervised learning. In semi-supervised visual object detection, the use of unlabeled data can significantly enhance the performance of deep learning models. In this paper, we introduce an end-to-end framework, named CISO (Co-Iteration Semi-Supervised Learning for Object Detection), which integrates a knowledge distillation approach and a collaborative, iterative semi-supervised learning strategy. To maximize the utilization of pseudo-label data and address the scarcity of pseudo-label data due to high threshold settings, we propose a mean iteration approach where all unlabeled data is applied to each training iteration. Pseudo-label data with high confidence is extracted based on an ever-changing threshold (average intersection over union of all pseudo-labeled data). This strategy not only ensures the accuracy of the pseudo-label but also optimizes the use of unlabeled data. Subsequently, we apply a weak-strong data augmentation strategy to update the model. Lastly, we evaluate CISO using Swin Transformer model and conduct comprehensive experiments on MS-COCO. Our framework showcases impressive results, outperforms the state-of-the-art methods by 2.16 mAP and 1.54 mAP with 10% and 5% labeled data, respectively.
What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation
Authors: Thelwall Mike , Simrick Subreena , Viney Ian , Van den Besselaar Peter 
Published: September 2023

AbstractEvaluating the effects of some or all academic research funding is difficult because of the many different and overlapping sources, types, and scopes. It is therefore important to identify the key aspects of research funding so that funders and others assessing its value do not overlook them. This article outlines 18 dimensions through which funding varies substantially, as well as three funding records facets. For each dimension, a list of common or possible variations is suggested. The main dimensions include the type of funder of time and equipment, any funding sharing, the proportion of costs funded, the nature of the funding, any collaborative contributions, and the amount and duration of the grant. In addition, funding can influence what is researched, how and by whom. The funding can also be recorded in different places and has different levels of connection to outputs. The many variations and the lack of a clear divide between “unfunded” and funded research, because internal funding can be implicit or unrecorded, greatly complicate assessing the value of funding quantitatively at scale. The dimensions listed here should nevertheless help funding evaluators to consider as many differences as possible and list the remainder as limitations. They also serve as suggested information to collect for those compiling funding datasets.