bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploration of mental health stigma in veterinary teams in the United States before and after evidence‐based psychoeducation for burden transfer
Authors: Gannon Kylie R. , Cousins Elizabeth , Martin John , Updegraff Alanna S. G. , Was Christopher , Carlson Mark D. , Spitznagel Mary Beth 
Published: September 2024

AbstractBackgroundHigh rates of psychological distress are present in veterinary healthcare professionals and elevated mental health stigma in the field may underlie psychological treatment reluctance. A psychoeducational programme designed to reduce distress associated with difficult veterinary client behaviours (i.e., ‘burden transfer’) showed reduced stress and burnout in veterinary teams. We hypothesised that exposure to this psychoeducation could also yield reduced mental health stigma.MethodsData from 143 veterinary healthcare professionals who were randomised to intervention (n = 72) or control (n = 71) groups were examined. Intervention participants completed three weekly 1‐h psychoeducation sessions. Mental health stigma was assessed at pre‐test, post‐test and 1‐month follow‐up.ResultsPsychoeducation decreased mental health stigma in the intervention group relative to controls (β = ‒0.28, p = 0.009). The participants in this study self‐selected to enroll; thus, the results may reflect attitudes of individuals who were more psychologically open at baseline.ConclusionExposure to evidence‐based psychoeducation, to reduce burden transfer, reduced mental health stigma in veterinary teams.
An Introduction to Paradata
Authors: Andersson Lisa , Huvila Isto , Sköld Olle 
Published: September 2024

AbstractTo address the challenge of data process and practice descriptions, the aim of this volume is twofold. First, we propose the paradata concept as a method to think about and describe data, information, and knowledge processes and practices. Second, by inviting scholars and practitioners from a wide variety of disciplines, we explore how the paradata concept can be useful in and for information and knowledge management in a wide range of settings. The volume brings together scholars and practitioners from a broad range of subject areas, each offering a distinctive perspective on paradata in different contexts, highlighting diverse scenarios in which collection, extraction, and use of such data may prove constructive. The introductory chapter gives a brief history of the paradata term including insights into current research on the topic. Thereafter follows a concise contextualization of the study of paradata in the knowledge management tradition. The chapter is concluded by a guide to the volume’s chapters.
Paradata as a Tool for Legal Analysis: Utilising Data-on-Data Related Processes
Authors: Enqvist Lena 
Published: September 2024

AbstractThis chapter explores aspects of the relationship between technology, transparency, and accountability in public decision-making. It addresses how technological advancements have increased accessibility and automation while complicating decision process reviewability. It explores transparency as a relational concept and focuses on legal obligations on documentation and records-keeping, such as in the EU General Data Protection Regulation and the upcoming EU Artificial Intelligence Act, as a means to bolster transparency and improve reviewability. In particular it also discusses the feasibility of gathering and analysing ‘paradata’—data pertaining to data processes—as a means to safeguard legality and transparency in automated decision-making, notably within the public sphere.
Making Research Code Useful Paradata
Authors: Bilderbeek Richèl J. C. 
Published: September 2024

AbstractParadata is data about the data collection process that allows use and reuse of data. Within the context of computational research, computer code is the paradata of an experiment, allowing the study to be reproduced. A recent study recommended how to make paradata (more) useful, for paradata in general. This study applies those recommendations to computer code, using the field of genetic epidemiology as an example. The chapter concludes by some rules how to better code to serve as paradata, and hence allowing computational research to be more reproducible.
A Leap of Faith: Revisiting Paradata in 3D Scholarship
Authors: Papadopoulos Costas 
Published: September 2024

Abstract3D visualisation—be it computer graphic (re)construction or digitisation—has a long tradition in archaeology and cultural heritage; original research approaches, new methodologies, and theoretical frameworks have been developed; scholarly outputs in a range of forms have been published; teaching programmes have been designed; and an array of apparatuses, including organisations, consortia, projects, conferences, journals, and book series exclusively focusing on 3D, have been established. Despite all these, 3D scholarship is still faced with scepticism and hesitation, both due to constant changes in technology and the fragile ecosystem within which it is being developed, but also due to the technological authority, lack of standards, and its non-conventional nature that does not adhere to established academic norms. The development of charters and principles, such as the London and Seville Charters, which were developed to provide guidelines that tackle these issues, have been inconsistently addressed and rarely implemented. By looking back at the origins of paradata in heritage visualisation and the ways that three-dimensionality is perceived, captured, and interpreted in conventional archaeological practice, this chapter explores the variable and dialectic processes that take place at the trowel’s edge and the often neglected perceptual, physiological, and technical factors that influence knowledge production in the process of 3D (re)construction. The chapter argues that 3D scholarship requires a leap of faith and a rethinking of the ‘how, when, and why’ of paradata on a par with our better understanding of the complexity of and recent changes in digital scholarship.
Reconstructing Provenance in Long-Lived Data Systems: The Challenge of Paradata Capture in Memory Institution Collection Databases
Authors: Rayburn Alexandria J. , Thomer Andrea K. 
Published: September 2024

AbstractParadata is important for understanding the provenance of data—but capturing and using paradata is challenging because it is often not formalized or explicit. This is particularly the case for complex, long-lived digital objects, such as the databases used to manage long-lived museum collections. These databases are passed down between generations of collections managers, but the documentation explaining their structure and changes over time is often incomplete, thus posing an obstacle to the use and maintenance of the databases. Collection managers must often reverse engineer their databases and create documentation from scratch. Here, we present a case study of paradata reconstruction conducted as part of a larger project studying database maintenance in memory institutions. Through interviews with collection managers at the University of Michigan Herbarium and Matthaei Botanical Gardens, we reconstruct how a database evolved and changed over 50 years. We show how different ways of illustrating the history of a database can be used to help “open up” a database for users. We reflect on the strengths and weaknesses of these approaches, specifically versioned entity relationship diagrams, Sankey diagrams, and narrative case summaries, and discuss the challenges in capturing paradata from long-lived sociotechnical objects.
The Persuasive Power of Advertisements: An Analysis of Structure and Context in Javanese in 1935–1953
Authors: Joyowidarbo Diah Mardiningrum , Fitriana Atin , Puspitorini Dwi 
Published: September 2024

AbstractAn advertisement is not only aimed to promote the content, but also shows the existence of other functions related to socioculture. The language of advertisement that is constantly heard will settle in the minds of the community. The research on advertisements has been conducted on many advertisements and in other languages as done by Wibisono, Mulyawan, Lubecka, Purwa, and Riani. Wibisono and Purwa conducted a research on advertisements under pragmatic analysis. On the other hand, Mulyawan and Riani explained the research on advertisements using discourse analysis, and Lubecka explained a research about national identity in advertisements. Purwa’s and Mulyawan’s research focused on the structure to find the persuasive aspects, yet did not referr to the contextual aspects. Based on these previous studies, research on discourse analysis regarding the persuasive power of past advertisements hasn’t been studied. Also, the research on the discourse of Javanese-language advertisements published in the period before and the beginning of independence has never been done. Unlike today’s advertisements, the advertisements in the past show a different structure. This research focuses on the analysis of superstructures, readers’ attention propositions, and sociocultural contexts to explain the persuasive power of advertisement through the languages used ​​in Panjebar Semangat magazine published in 1935–1953; the period before and after independence. In the analysis, this research uses the discourse analysis approach; precisely on the theory of discourse of advertisement formulated by Leech and Bolen’s, and Fairclough’s theory is used to analyze the context in advertising. The results show that the persuasive power of advertisement present in the superstructure (headlines, signature lines, and illustrations) and microstructure of advertisement (the use of imperative and interrogative sentences). The advertisement also succeeds in reflecting the sociocultural state of the nation during the period before and after independence. Contextually, the advertisement managed to convey the sociocultural function which showed the Dutch influence was still highly attached to the period before independence. As for the period after independence, there was a national idea contained in the advertisement, which was seen from the elements of discourse in the advertisement. This study contributes to understanding the persuasive functions of utterances in Javanese-language advertisements and how the persuasive power of Javanese used in advertisements gets its perlocutionary effect, as well as to explain how the Javanese culture reflects on the elements of the advertisements.
Semantic Cognitive Analysis of Chinese Language VO Collocation
Authors: Christian Symphony Akelba , Sutami Hermina 
Published: September 2024

AbstractThis study used cognitive semantic point of view to find the cognitive semantic elements in play in the formation of Chinese VO collocation. It explains why the object of certain VO collocation cannot be exchange arbitrarily. The focus of this study is the collocation in the transportation domain: the verbs 坐 (zuò), 骑 (qí), and 开 (kāi) as they collocate with their objects. The purpose of the study is to describe the cognitive semantic element embedded in those verbs and nouns. This research was conducted using the Chinese Web 2011 corpus (Sketch Engine). The result of the study on 38,160 collocation indicates that the differences in semantic meaning of verbal and object, differences in categorization of verbal and object, and differences in frames, play a role in the formation of VO collocations of the verbs 坐 (zuò), 骑 (qí), 开 (kāi). The differences in the semantic meanings of the verbs and objects and the differences in the categorization of the verbs and objects form an event frame which then combines in conceptual blending and form VO collocation. These findings also contribute to the field of language learning and teaching since it provides a broader picture and explanation of the formation of Chinese VO Collocation which can be used by teacher, students and textbook/teaching materials designer.
Claiming Importance of Research: A Corpus Linguistics Analysis on Indonesian Students’ Research Papers
Authors: Simanjuntak Risa Rumentha 
Published: September 2024

AbstractResearch in universities has been deemed as a key aspect in showing rigor and accountability as well as the gatekeeper for academic quality. Research writing and publication, including those composed by students, are expected to provide strong and compelling applications of knowledge in their field. This present research investigated strategies used by students in claiming importance by way of presenting stance and arguments in their research writings. Corpus for this study was 1,178 student research abstracts from undergraduate student final papers in Indonesia. Two sub-corpora were built from this corpus, consisting of English version abstracts and Indonesian original abstracts. Corpus analysis was conducted to identify the lexical use and the context of the use of rhetorical markers by analyzing frequency, clusters, concordance, and collocations in the corpus. Using AntConc 4.2.4 as the tool for corpus analysis, the investigation was focused on the strategies in using hedges and boosters to present stance and arguments. Results of this study showed students used distinctive rhetorical markers in their abstracts, including the frequent recurrence of passive verbs (7 passive verbs out of 20 verbs). Results also showed the word “metode” (method) was frequently used (occurring 1,079 times in the Indonesian sub-corpus) in comparison to the word “hasil” (result) (occurring 588 times in the sub-corpus). Students also used more hedges (24 types) than boosters (17 types), contrary to common understanding. The findings of this study indicated the strategies students used to claim importance of their research. Students were also clearly aware of the value of writing as evidence of academic achievements and adherence. The conclusion for this study demonstrated the importance of providing students with alternative routes to show rigor and quality in writing. Implications for further research and for data-driven applications in writing courses were also discussed.
Holographic Lifshitz flows
Authors: Baggioli Matteo , Pujolàs Oriol , Wu Xin-Meng 
Published: September 2024

Abstract
Without Lorentz symmetry, generic fixed points of the renormalization group (RG) are labelled by their dynamical (or ‘Lifshitz’) exponent z. Hence, a rich variety of possible RG flows arises. The first example is already given by the standard non-relativistic limit, which can be viewed as the flow from a z = 1 UV fixed point to a z = 2 IR fixed point. In strongly coupled theories, there are good arguments suggesting that Lorentz invariance can emerge dynamically in the IR from a Lorentz violating UV. In this work, we perform a generic study of fixed points and the possible RG flows among them in a minimal bottom-up holographic model without Lorentz invariance, aiming to shed light on the possible options and the related phenomenology. We find: i) A minor generalization of previous models involving a massive vector field with allowed self-couplings leads to a much more efficient emergence of Lorentz invariance than in the previous attempts. Moreover, we find that generically the larger is the UV dynamical exponent zUV the faster is the recovery of Lorentz symmetry in the IR. ii) We construct explicitly a holographic model with a line of fixed points, realizing different Lifshitz scaling along the line. iii) We also confirm the monotonicity of a recently proposed a-function along all our Lorentz violating RG flows.
An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.
Authors: Villringer K. , Sokiranski R. , Opfer R. , Spies L. , Hamann M. , Bormann A. , Brehmer M. , Galinovic I. , Fiebach J. B. 
Published: September 2024

Abstract

Purpose
Intracranial hemorrhage (ICH) is a life-threatening condition requiring rapid diagnostic and therapeutic action. This study evaluates whether Artificial intelligence (AI) can provide high-quality ICH diagnostics and turnaround times suitable for routine radiological practice.

Methods
A convolutional neural network (CNN) was trained and validated to detect ICHs on DICOM images of cranial CT (CCT) scans, utilizing about 674,000 individually labeled slices. The CNN was then incorporated into a commercial AI engine and seamlessly integrated into three pilot centers in Germany. A real-world test-dataset was extracted and manually annotated by two experienced experts. The performance of the AI algorithm against the two raters was assessed and compared to the inter-rater agreement. The overall time ranging from data acquisition to the delivery of the AI results was analyzed.

Results
Out of 6284 CCT examinations acquired in three different centers, 947 (15%) had ICH. Breakdowns of hemorrhage types included 8% intraparenchymal, 3% intraventricular, 6% subarachnoidal, 7% subdural, < 1% epidural hematomas. Comparing the AI’s performance on a subset of 255 patients with two expert raters, it achieved a sensitivity of 0.90, a specificity of 0.96, an accuracy of 0.96. The corresponding inter-rater agreement was 0.84, 0.98, and 0.96. The overall median processing times for the three centers were 9, 11, and 12 min, respectively.

Conclusion
We showed that an AI algorithm for the automatic detection of ICHs can be seamlessly integrated into clinical workflows with minimal turnaround time. The accuracy was on par with radiology experts, making the system suitable for routine clinical use.
Improved estimates of child malnutrition trends in Bangladesh using remote-sensed data
Authors: Das Sumonkanti , Basher Syed Abul , Baffour Bernard , Godwin Penny , Richardson Alice , Rashid Salim 
Published: September 2024

AbstractThis study investigates the trends in chronic malnutrition (stunting) among young children across Bangladesh’s 64 districts and 544 sub-districts from 2000 to 2018. We utilized remote-sensed data–nighttime light intensity to indicate urbanization, and environmental factors like precipitation and vegetation levels–to examine patterns of stunting. Our primary data source was the Bangladesh Demographic and Health Survey, conducted six times within the study period. Using Bayesian multilevel time-series models, we integrated cross-sectional, temporal, and spatial data to estimate stunting rates for years not covered by the direct survey information. This approach, enhanced by remote-sensed data, allowed for greater prediction accuracy by incorporating information from neighboring areas. Our findings show a significant reduction in national stunting rates, from nearly 50% in 2000 to about 30% in 2018. Despite this overall progress, some districts have consistently high levels of stunting, while others show fluctuating levels. Our model gives more precise sub-district estimates than previous methods, which were limited by data gaps. The study highlights Bangladesh’s advancements in reducing child stunting, highlighting the value of integrating remote-sensed data for more precise and credible analysis.
Genomic identification of Oryctes rhinoceros nudivirus isolates, a biocontrol agent for coconut rhinoceros beetle
Authors: Hiszczynska-Sawicka Ela , Weston Mitchell K. , Laugraud Aurelie , Hefer Charles A. , Jacobs Jeanne M. E. , Marshall Sean D. G. 
Published: September 2024

AbstractThe coconut rhinoceros beetle (Oryctes rhinoceros, CRB) is a serious pest of coconut and oil palms. It is native to South and Southeast Asia and was inadvertently introduced to Samoa in 1909. It has invaded many other Pacific countries throughout the last century. Oryctes rhinoceros nudivirus (OrNV), a natural pathogen of CRB in its native range, was successfully introduced as a classical biocontrol agent and has effectively suppressed invasive CRB populations for decades. However, resurgence of CRB has been recorded, with new invasions detected in several Pacific Island Countries and Territories. Additionally, new populations of CRB are emerging in some invaded areas that have a degree of resistance to the virus isolates commonly released for CRB biocontrol. Here, we designed a fast and reliable tool for distinguishing between different OrNV isolates that can help with the selection process to identify effective isolates for management of new CRB invasions. A comparison of 13 gene/gene region sequences within the OrNV genome of 16 OrNV isolates from native and invaded ranges allowed us to identify unique Single Nucleotide Polymorphisms (SNPs). With these SNPs, we developed an assay using multiplex PCR-amplicon-based nanopore sequencing to distinguish between OrNV isolates. We found that as few as four gene fragments were sufficient to identify 15 out of 20 OrNV isolates. This method can be used as a tool to monitor the establishment and distribution of OrNV isolates selected for release as biocontrol agents in CRB-infected areas.
Methyl Jasmonate Application Downregulates Drupelet Reversion and Enhances Phenolic Biosynthesis and Antioxidant Potential of Blackberries
Authors: Shah Hafiz Muhammad Shoaib , Singh Zora , Hasan Mahmood Ul , Kaur Jashanpreet , Afrifa-Yamoah Eben , Woodward Andrew 
Published: September 2024

Abstract
Blackberry plants were sprayed with methyl jasmonate (MJ 0, 1, 2 or 3 mmol L−1), 2 weeks before tentative harvest maturity, to evaluate its influence on red drupelet reversion (RDR), antioxidant capacity and postharvest quality during cold storage up to 12 days. MJ significantly reduced RDR and weight loss while maintaining higher anthocyanins and flavonoids during cold storage for 12 days. MJ application upregulated phenolic metabolism by maintaining higher phenylalanine ammonia lyase activity, and showed higher total antioxidants, ascorbic acid, and glutathione content. MJ-treated blackberries displayed higher activities of superoxide dismutase, catalase, ascorbate peroxidase, monodehydroascorbate reductase, dehydroascorbate reductase and glutathione reductase enzymes, than control for 12 days of cold storage. Moreover, MJ-treated fruit suppressed the production of hydrogen peroxide radicals and malondialdehyde with lower activities of polyphenol oxidase and lipoxygenase enzymes. In conclusion, preharvest application of MJ has the potential to reduce RDR, improve antioxidant capacity and maintain fruit quality of cold stored blackberries.