bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between biomarkers of redox status and cytokines with different patterns of habitual physical activity in eutrophic and overweight/obese preschoolers: multivariate analysis of a cross-sectional study
Authors: Viegas Ângela Alves , Santos Thiago , Nobre Juliana Nogueira Pontes , Santos Jousielle Márcia dos , Silva Lage Vanessa Kelly da , Fernandes Amanda Cristina , Peixoto Marco Fabrício Dias , Morais Rosane Luzia De Souza , Sartorio Alessandro , Mendonça Vanessa Amaral , Lacerda Ana Cristina Rodrigues 
Published: November 2023

Abstract
Background
Although it is well known that obesity is frequently associated with reduced levels of habitual physical activity (HPA), which contributes to determining severe oxidative stress and inflammatory state, this association is however unknown in preschoolers so far. This study aimed to investigate the association between biomarkers of redox status and cytokines with different patterns of HPA according to the adiposity of preschoolers.

Methods
A cross-sectional study was conducted in 50 preschoolers (25 overweight/obese, OW/OB and 25 eutrophic, EU), matched for age, sex, economic level, and maternal education. Total antioxidant capacity (TAC), superoxide dismutase (SOD) and catalase (CAT) activities, substances reactive to thiobarbituric acid (TBARS), soluble tumor necrosis factor receptors (sTNFRs), and leptin levels were evaluated. HPA levels were evaluated by accelerometry (ActiGraph GT9X accelerometer). Correlation, multiple linear regression, and partial least squares regression analysis were used to determine the association between redox status biomarkers and cytokines with different patterns of HPA (HPA level, bouts of moderate to vigorous physical activity [MVPA], and multivariate pattern of HPA) in EU and OW/OB preschoolers.

Results
OW/OB preschoolers had lower CAT activity, higher levels of TAC, TBARS, and cytokines, and similar levels of HPA to EU preschoolers. In EU preschoolers, SOD activity exhibited a stronger negative association with moderate intensity ranges of HPA (R2 = 0.18), and negative correlation with sTNFRs (r = -0.40 to -0.46). TBARS had a stronger positive association with ranges of light intensity in the multivariate pattern of HPA (R2 = 0.10). In OW/OB preschoolers, the HPA multivariate associative pattern was predominantly from vigorous intensity ranges. Thus, SOD activity had a positive association with the multivariate pattern of HPA (R2 = 0.38) and MVPA bouts (β [95% CI] = 0.457 [0.0026. 0.0576]). TAC had a negative association with the multivariate pattern of HPA (R2 = 0.38) and MVPA bouts (β [95% CI] = -0.718 [-0.0025. -0.0003]). Additionally, leptin levels were lower in OW/OB preschoolers engaged in vigorous physical activity (VPA) (8000–9999 counts/min) for longer periods of time.

Conclusion
The results of this study indicate that OW/OB preschoolers have higher levels of oxidative stress biomarkers and pro-inflammatory cytokines compared to EU preschoolers. Moreover, VPA may exert antioxidative and anti-inflammatory effects in OW/OB preschoolers.
EMNPD: a comprehensive endophytic microorganism natural products database for prompt the discovery of new bioactive substances
Authors: Xu Hong-Quan , Xiao Huan , Bu Jin-Hui , Hong Yan-Feng , Liu Yu-Hong , Tao Zi-Yue , Ding Shu-Fan , Xia Yi-Tong , Wu E , Yan Zhen , Zhang Wei , Chen Gong-Xing , Zhu Feng , Tao Lin 
Published: November 2023

AbstractThe discovery and utilization of natural products derived from endophytic microorganisms have garnered significant attention in pharmaceutical research. While remarkable progress has been made in this field each year, the absence of dedicated open-access databases for endophytic microorganism natural products research is evident. To address the increasing demand for mining and sharing of data resources related to endophytic microorganism natural products, this study introduces EMNPD, a comprehensive endophytic microorganism natural products database comprising manually curated data. Currently, EMNPD offers 6632 natural products from 1017 endophytic microorganisms, targeting 1286 entities (including 94 proteins, 282 cell lines, and 910 species) with 91 diverse bioactivities. It encompasses the physico-chemical properties of natural products, ADMET information, quantitative activity data with their potency, natural products contents with diverse fermentation conditions, systematic taxonomy, and links to various well-established databases. EMNPD aims to function as an open-access knowledge repository for the study of endophytic microorganisms and their natural products, thereby facilitating drug discovery research and exploration of bioactive substances. The database can be accessed at http://emnpd.idrblab.cn/ without the need for registration, enabling researchers to freely download the data. EMNPD is expected to become a valuable resource in the field of endophytic microorganism natural products and contribute to future drug development endeavors.
Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph
Authors: Rabby Gollam , D’Souza Jennifer , Oelen Allard , Dvorackova Lucie , Svátek Vojtěch , Auer Sören 
Published: November 2023

AbstractMultiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric metadata to predict influential scholarly documents. Furthermore, this work also examines the influential scholarly document prediction task over categorized scholarly documents. We also introduce a new approach to enhance the document representation method with a domain-independent knowledge graph to find the influential scholarly document using categorized scholarly content. As the input collection, we use the WHO corpus with scholarly documents on the theme of COVID-19. This study examines different document representation methods for machine learning, including TF-IDF, BOW, and embedding-based language models (BERT). The TF-IDF document representation method works better than others. From various machine learning methods tested, logistic regression outperformed the other for scholarly document category classification, and the random forest algorithm obtained the best results for influential scholarly document prediction, with the help of a domain-independent knowledge graph, specifically DBpedia, to enhance the document representation method for predicting influential scholarly documents with categorical scholarly content. In this case, our study combines state-of-the-art machine learning methods with the BOW document representation method. We also enhance the BOW document representation with the direct type (RDF type) and unqualified relation from DBpedia. From this experiment, we did not find any impact of the enhanced document representation for the scholarly document category classification. We found an effect in the influential scholarly document prediction with categorical data.
Structural characteristics of microbial exopolysaccharides in association with their biological activities: a review
Authors: Wang Wei , Ju Yuhao , Liu Nan , Shi Shengbo , Hao Lujiang 
Published: November 2023

AbstractMany microbial exopolysaccharides (EPS) have been reported in the last decade, and their fermentation processes, functional properties and applications, structural characterization, and biological activities have been extensively studied. Despite the great diversity of biological activities already described for EPS, only a few have been exploited industrially. The main reason for this is that the structure–activity relationship of EPS has not been clearly defined. In this review, we collected EPS-related publications from two databases, the Web of Science and China National Knowledge Infrastructure, and reviewed the correlation between the structural characteristics of EPS and observed biological activity, as reported in studies over the last decade. This review focused on the antioxidant, antitumor, immunomodulatory, hypoglycemic, antibacterial, and gut microbial-modulating activities of EPS. This review aimed to lay a foundation for researching the structure–activity relationship of EPS and provide a theoretical basis for important scientific studies and applications of EPS.
Graphical Abstract
Impact of critical illness on cholesterol and fatty acids: insights into pathophysiology and therapeutic targets
Authors: Lauwers Caroline , De Bruyn Lauren , Langouche Lies 
Published: November 2023

AbstractCritical illness is characterized by a hypercatabolic response encompassing endocrine and metabolic alterations. Not only the uptake, synthesis and metabolism of glucose and amino acids is majorly affected, but also the homeostasis of lipids and cholesterol is altered during acute and prolonged critical illness. Patients who suffer from critically ill conditions such as sepsis, major trauma, surgery or burn wounds display an immediate and sustained reduction in low plasma LDL-, HDL- and total cholesterol concentrations, together with a, less pronounced, increase in plasma free fatty acids. The severity of these alterations is associated with severity of illness, but the underlying pathophysiological mechanisms are multifactorial and only partly clarified. This narrative review aims to provide an overview of the current knowledge of how lipid and cholesterol uptake, synthesis and metabolism is affected during critical illness. Reduced nutritional uptake, increased scavenging of lipoproteins as well as an increased conversion to cortisol or other cholesterol-derived metabolites might all play a role in the decrease in plasma cholesterol. The acute stress response to critical illness creates a lipolytic cocktail, which might explain the increase in plasma free fatty acids, although reduced uptake and oxidation, but also increased lipogenesis, especially in prolonged critical illness, will also affect the circulating levels. Whether a disturbed lipid homeostasis warrants intervention or should primarily be interpreted as a signal of severity of illness requires further research.
Anti-Hu antibody seropositive neuropathy with large and small fiber involvement mimicking alcoholic neuropathy: a case report
Authors: Papantoniou Michail , Zampelis Thomas , Rentzos Michail , Karakalos Dimitrios 
Published: November 2023

Abstract
Background
Anti-Hu antibody neuropathy is considered a rare acquired peripheral neuropathy, but common among paraneoplastic syndromes. Typically, is described as subacute sensory neuronopathy and electrophysiological findings are usually suggestive of a sensory axonal neuropathy.

Case presentation
We report the case of a 67-year-old man referred to our clinic with a 4-month history of progressive pain and paresthesias of distal lower limbs. He had a 30-year history of alcohol abuse and smoking. Alcoholic neuropathy was considered the most likely diagnosis, considering his history and evaluation. The patient’s neurological examination revealed symmetric bilateral superficial and deep sensory loss in the lower extremities, reduced Achilles tendon reflexes and wide based gait. Electrophysiological testing was suggestive of axonal sensory-motor polyneuropathy and small fiber involvement. Even though alcohol consumption was discontinued, symptoms gradually worsened. Further testing was performed and the patient was found seropositive for anti-Hu antibody. Small-cell lung cancer was detected later, but patient passed away before treatment for cancer was administrated.

Conclusions
The aim of our paper is to report a case of a rare paraneoplastic syndrome that can cause progressive sensory-motor neuropathy with large and small fiber involvement, which should be rapidly differentially diagnosed from other neuropathies, so that the underlying cause can be identified and, potentially, treated.
Vernacular Visions in North and South Korea: Interlingual Translations of Unyŏng chŏn (The Tale of Unyŏng) and Ideologies of National Literature
Authors: Pieper Daniel 
Published: November 2023

Abstract
This article focuses on two translations of The Tale of Unyŏng (Unyŏng chŏn 雲英傳, early seventeenth century) into vernacular Korean in South Korea (1960) and North Korea (1966). Looking beyond the classical paradigm of interlingual and intralingual translation as “translation proper” and “rewording,” respectively, the article argues that translations of classical Korean fiction from Literary Sinitic into vernacular Korean represented a form of transitional intralingual translation as each nation navigated away from active membership in the Sinographic Cosmopolis and attempted to establish a new national literature and literary medium. Whereas the South Korean translation is tethered closely to the Literary Sinitic original in terms of lexicon, orthography, and representation of classical allusions and perpetuates three tiers of literacy, the North Korean translation hews much more closely to spoken vernacular and traditional kungmun manuscript versions of classical fiction and embodies the overriding North Korean policy of sinograph abolition and han'gŭl promotion.
Scheduling Smarter: Scheduling Decision Impact on Nurse-Aide Turnover
Authors: Mayo Kevin , Webb Eric , Ball George , Bretthauer Kurt 
Published: November 2023

Research problem: High turnover rates in long-term nursing facilities exacerbate the existing shortage of caregivers, a trend that will only worsen as the population of the United States ages. Part-time certified nursing assistants (CNAs) provide a significant amount of patient care in these facilities. CNAs also have high annual rates of turnover, which can harm health outcomes and increase the cost of care. In this study, we empirically analyze the effect of scheduling decisions on part-time CNA turnover. We explore three research questions that examine both how much and with whom a CNA is scheduled to work. We seek to empirically answer how (1) hours worked and (2) coworker variability influence turnover for part-time CNAs and if (3) coworker variability moderates the relationship between hours worked and CNA turnover. Methodology/results: Using novel data from one of the nation’s largest nursing home organizations, which includes data for 6,221 part-time CNAs at 157 facilities in the United States over a 26-month period, we identify two scheduling levers managers may be able to use to influence turnover. As hours worked increase, turnover first decreases and then increases, demonstrating a nonlinear U-shaped relationship between hours worked and turnover. We also find that high coworker variability increases turnover while also moderating the effects of hours worked on turnover. In post hoc analyses, we demonstrate that high CNA turnover has negative impacts on patient health. Managerial implications: These findings suggest that managers may be able to leverage part-time CNA scheduling to reduce turnover, improving both the quality and cost of care. Specifically, we demonstrate that managers can reduce CNA turnover by increasing hours worked, scheduling coworkers together consistently and doing both simultaneously. Supplemental Material: The online appendices are available at https://doi.org/10.1287/msom.2021.0533 .
Involvement of Angiopoietin 2 and vascular endothelial growth factor in uveitis
Authors: Suzuki Kayo , Iwata Daiju , Namba Kenichi , Hase Keitaro , Hiraoka Miki , Murata Miyuki , Kitaichi Nobuyoshi , Foxton Richard , Ishida Susumu 
Published: November 2023

Purpose
Angiopoietin (Ang) 2 is released from vascular endothelial cells by the stimulation of vascular endothelial growth factor (VEGF)A. Ang2 increases the expression of leukocyte adhesion molecules on endothelial cells via nuclear factor κB. The aim of this study was to evaluate the effects of Ang2 and VEGFA on ocular autoimmune inflammation.

Methods
We measured the concentrations of Ang2 and VEGFA in vitreous samples among patients with uveitis. Vitreous samples were collected from 16 patients with idiopathic uveitis (uveitis group) and 16 patients with non-inflammatory eye disease (control group). Experimental autoimmune uveoretinitis (EAU) was induced in B10.BR mice with a human interphotoreceptor retinoid-binding protein-derived peptide. The retinochoroidal tissues of the EAU mice were removed, and the mRNA levels of Ang2 and VEGFA were examined. EAU mice treated with anti-Ang2, anti-VEGFA, a combination of anti-Ang2 and anti-VEGFA, anti-Ang2/VEGFA bispecific, or IgG control antibodies were clinically and histopathologically evaluated.

Results
The protein levels of Ang2 and VEGFA were significantly higher in the vitreous samples of patients with uveitis than in controls (P<0.05). The retinochoroidal mRNA levels of Ang2 and VEGFA were significantly upregulated in EAU mice compared to controls (n = 6, P<0.05). Although there was no significant difference, treatment with anti-VEGFA antibody reduced the clinical and histopathological scores. However, treatment with anti-Ang2 antibody reduced the clinical and histopathological scores (n = 18–20, P<0.05). Furthermore, these scores were further decreased when treated by inhibiting both Ang2 and VEGFA.

Conclusions
Based on these results, VEGFA and Ang2 were shown to be upregulated locally in the eye of both uveitis patients and models of uveitis. Dual inhibition of Ang2 and VEGFA is suggested to be a new therapeutic strategy for uveitis.
We Are Commoners: A Craftspace National Touring Exhibition, Curated by Emma Daker and Deirdre Figueiredo
Authors: Ward Wendy 
Published: November 2023

Review of: We Are Commoners: A Craftspace National Touring Exhibition, Curated by Emma Daker and Deirdre Figueiredo
The Civic, Barnsley, 5 February–23 April 2022
Designing Modern Japan, Sarah Teasley (2022)
Authors: O’Mahony Marie 
Published: November 2023

Review of: Designing Modern Japan, Sarah Teasley (2022)
London: Reaktion Books, 424 pp.,
ISBN 987-1-78023-202-7, h/bk, £30
ISBN 978-1-78023-230-0, e-book, £30
Unveiling the chameleon
Authors: Thornley Jacqui , Schwenger Bettina 
Published: November 2023

Collaborative practices are at the heart of the development process in educational programme and course design. Collaboration between partners is essential in learning design projects as it brings together diverse perspectives, expertise, and skills to create effective learning experiences. However, it also presents numerous challenges that can hinder the collaborative process. This paper draws on the experiences of an academic developer and an online learning designer over several online/blended projects carried out in a higher education setting, individually and together. As co-project leaders in the design and development cycle, the authors critically examine through a reflective lens how leadership, behavioral characteristics and digital tools support successful collaborations in their learning design projects. The paper discusses recommendations that strengthen partnerships and support collaborations.
Embracing Reflexivity
Authors: Bond Kerry , Vanderburg Michelle , Chugh Ritesh , Johnston Katrina , Flanders Margaret , Clapperton Roslyn , Ryan Colleen 
Published: November 2023

This case study evaluates the interdisciplinary experiences of a research team producing a digital education tool. It proposes important considerations for successful collaboration and group development, which can lead to beneficial and deeper long-term partnerships across faculties within an institution. The study suggests value in using components of collaborative research to reflect on group development and progress. In alignment with the literature, it was found that time is essential for creativity, innovation, and group performance, which are successful products of both interpersonal and task-activity aspects of interdisciplinary collaborations. Challenges and impacts on group morale can be ameliorated by factors such as operational strategies, a sense of shared ownership and personal value to the project. The long-term benefits of fostering deeper interdisciplinary partnerships are briefly explored.
Learning analytics with iLearn Insights
Authors: Joarder Shamim 
Published: November 2023

iLearn Insights is an innovative online application to address the challenge of engaging, motivating and supporting students with automated personalised email for those at risk of failure. It allows academics to identify students who are engaging or otherwise with the Learning Management System (LMS) content, thus allowing early intervention, and ultimately improved retention in units by providing targeted support to a student cohort. In contrast to systems that provide only static data reports, this vendor-independent innovation was built in-house to analyse and visualise student learning data in relation to access patterns, forum activity, learning activity submission and grades to identify a student cohort that needs support, as well as enabling teaching staff to send personalised emails to students on the basis of their level of engagement and/or performance.

Feedback has a powerful impact on learning, but students frequently highlight it as an area that can be improved in tertiary education (Dawson and Henderson, 2019). iLearn Insights provides graphical representation of LMS data that enables visual personalised feedback to students. Within three mouse clicks, academic staff can trigger a range of automated communications to commend high-achieving students, offer additional assistance to lower performing students or to recapture disengaged students. These emails can be a targeted to a group of students and configured by the unit convenor to contain motivating information including the top five resources accessed by classmates; a student’s mark in comparison to the class average; number or percentage of students that have already submitted an assignment; clickable links; and support resources for students falling behind.

ILearn Insights was developed based on four principals of learning analytics design knowledge: integration, agency, reference frame and dialogue (Wise, 2014). It has been observed that targeted visual feedback with clickable links is the most effective way to engage students quickly.?The positive impact of iLearn Insights is demonstrated by its rapid uptake by teaching staff across Macquarie University. When it launched in Session 1, 2020, after 18 months of piloting, there were 478 users across 763 units (subjects) who sent 125334 targeted personalised emails. In Session 1, 2023 iLearn Insights was used by approximately 808 users across 40 departments and learning support areas and 1237 units, sending over 316576 targeted emails to encourage students to engage with learning activities or offer support. That represents an increase of 169% of users, 162% of units and 253% of emails in three years. These personalised email exchanges have led to enhanced student engagement, which is critical for student success (Kahu and Nelson, 2018; De Villiers and Werner, 2018; McClenney et al, 2012; Klem and Connell, 2004).