bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utility of the Python package Geoweaver_cwl for improving workflow reusability: an illustration with multidisciplinary use cases
Authors: Kale Amruta , Sun Ziheng , Ma Xiaogang 
Published: July 2023

AbstractComputational workflows are widely used in data analysis, enabling automated tracking of steps and storage of provenance information, leading to innovation and decision-making in the scientific community. However, the growing popularity of workflows has raised concerns about reproducibility and reusability which can hinder collaboration between institutions and users. In order to address these concerns, it is important to standardize workflows or provide tools that offer a framework for describing workflows and enabling computational reusability. One such set of standards that has recently emerged is the Common Workflow Language (CWL), which offers a robust and flexible framework for data analysis tools and workflows. To promote portability, reproducibility, and interoperability of AI/ML workflows, we developed geoweaver_cwl, a Python package that automatically describes AI/ML workflows from a workflow management system (WfMS) named Geoweaver into CWL. In this paper, we test our Python package on multiple use cases from different domains. Our objective is to demonstrate and verify the utility of this package. We make all the code and dataset open online and briefly describe the experimental implementation of the package in this paper, confirming that geoweaver_cwl can lead to a well-versed AI process while disclosing opportunities for further extensions. The geoweaver_cwl package is publicly released online at https://pypi.org/project/geoweaver-cwl/0.0.1/ and exemplar results are accessible at: https://github.com/amrutakale08/geoweaver_cwl-usecases.
Predicting Inundation Dynamics and Hydroperiods of Small, Isolated Wetlands Using a Machine Learning Approach
Authors: Riley Jeffrey W. , Stillwell Charles C. 
Published: July 2023

AbstractThe duration of inundation or saturation (i.e., hydroperiod) controls many wetland functions. In particular, it is a key determinant of whether a wetland will provide suitable breeding habitat for amphibians and other taxa that often have specific hydrologic requirements. Yet, scientists and land managers often are challenged by a lack of sufficient monitoring data to enable the understanding of the wetting and drying dynamics of small depressional wetlands. In this study, we present and evaluate an approach to predict daily inundation dynamics using a large wetland water-level dataset and a random forest algorithm. We relied on predictor variables that described characteristics of basin morphology of each wetland and atmospheric water budget estimates over various antecedent periods. These predictor variables were derived from datasets available over the conterminous United States making this approach potentially extendable to other locations. Model performance was evaluated using two metrics, median hydroperiod and the proportion of correctly classified days. We found that models performed well overall with a median balanced accuracy of 83% on validation data. Median hydroperiod was predicted most accurately for wetlands that were infrequently inundated and least accurate for permanent wetlands. The proportion of inundated days was predicted most accurately in permanent wetlands (99%) followed by frequently inundated wetlands (98%) and infrequently inundated wetlands (93%). This modeling approach provided accurate estimates of inundation and could be useful in other depressional wetlands where the primary water flux occurs with the atmosphere and basin morphology is a critical control on wetland inundation and hydroperiods.
A Tutorial on Bayesian Modeling of Change Across Time, Individuals, and Groups
Authors: Knight Emma , Neal Andrew , Palada Hector , Ballard Timothy 
Published: July 2023

AbstractPsychological theories often incorporate dynamic processes, but it can be difficult to accurately represent these processes with standard statistical tests. As such, there tends to be a misalignment between theory and statistical analysis. We provide a tutorial on a flexible Bayesian approach to developing and analyzing discrete dynamic models that overcomes many challenges associated with conventional methods. This approach can be used to analyze models of virtually any functional form, including models with feedback loops and dynamic (i.e., stock or level) variables. It allows one to quantify uncertainty in components of a dynamic process. This approach also provides a natural way to examine variation in a process between individuals, known groups, or latent subgroups. This framework has the flexibility to capture the dynamism inherent in many theories, which we believe will facilitate theory testing, and ultimately, cumulative theoretical progress.
Pathogens identification and resistance evaluation on bacterial canker in Actinidia arguta germplasm
Authors: Qin Hong Y. , Zhao Ying , Chen Xiu L. , Zhang Bao X. , Wen Xin , Li Chang Y. , Fan Shu T. , Wang Yue , Yang Yi M. , Xu Pei L. , Liu Ying X. , Ai Jun 
Published: July 2023

AbstractPathogen isolation and identification were performed on Actinidia arguta ‘Longcheng No. 2’ occurring bacterial canker from Liaoning Province, China. The pathogenic bacteria were identified as Pseudomonas syringae pv. actinidiae (Psa) by the analysis of morphology,16S rRNA and gyrB sequence, which were identified as Psa biovar 2 by Psa-specific primer sequence analysis. The pathogenicity tests were carried out with the isolate ‘R12’ and type strain ‘M228’ (biovar 3) as a control; the results showed that the phloem of green stems in A. arguta ‘Kuilv’ could be infect rapidly by R12, and milky mucus flowed from wounds, then the phloem turned black-brown, but it had strong resistance to Psa M228. In order to evaluate the resistance on Psa R12, 54 A. arguta germplasm resources were infected by artificial inoculation of stems, with A. deliciosa cv. ‘Hongyang’ and A. chinensis cv. ‘Xuxiang’, as control plant material, and their resistance levels were classified according to the disease index. The 54 tested materials exhibited differences in resistance to Psa R12, but no immune materials were found. In general, the germplasms were divided into five disease resistance categories, including 2 accessions with high resistance ‘Jianfengkuilv’ and ‘TL20013’, accounted for 3.70% of all the inoculated accessions; there were 11 resistant accessions, 15 tolerant accessions, 21 susceptible accessions, 5 highly susceptible accessions among them, accounted for 20.37%, 27.78%, 38.89% and 9.26%, respectively. In this study, the screening of disease-resistant germplasms could lay a foundation for further research on gene mapping, resistance mechanisms and breeding-resistant varieties of A. arguta to Psa.
Digital Double Diamond (DiDD) Model Analysis of National Competitiveness Under Digital Transformation: An Application to Healthcare and Pharmaceutical Industries in South Korea and Switzerland
Authors: Kim YongChan , Atukeren Erdal , Lee Yeon W. 
Published: July 2023

AbstractThe healthcare and pharmaceutical industries are rapidly changing under the digital transformation environment in the 2020s. Investments in this field are given priority, both at the business level and also at the national level, to enhance national competitiveness. However, a very limited number of studies examine the impact of digital transformation on the broader scope of the industry and national competitiveness. Furthermore, the existing studies and competitiveness indices focus rather on general country-level innovation indicators. To mend this gap and to provide a more specific framework to evaluate digital transformation in the healthcare and pharmaceutical industries, this study proposes a new model called the Digital Double Diamond (DiDD), which is an extension of Porter’s Diamond model for national competitiveness. The DiDD model consists of three factors: endogenous factor, centric factor, and exogenous factor containing nine variables and 36 sub-variables that capture the impact of digital transformation in healthcare and pharmaceutical industries to assess national competitiveness. The new DiDD model emphasizes the importance of having a balance between the traditional national competitiveness and digital convergence elements in the healthcare and pharmaceutical industries. As an illustration of the new DiDD model, we compare South Korea and Switzerland’s digital transformation competitiveness in the healthcare and pharmaceutical industries.
A summary of our serial study: mechanism of invasion and metastasis in nasopharyngeal carcinoma
Authors: Ge Yizhi , Yan Zhenyu , Du Mingyu , Qian Luxi , Peng Fanyu , Zong Dan , He Xia 
Published: July 2023

Abstract
Purpose
The patients who have nasopharyngeal carcinoma (NPC) have high possibility to metastases. Therefore, it is of great practical significance to explore the molecular mechanism of invasion and metastases in NPC.

Methods
Herein summarizes some molecular mechanisms reported by our previous investigation.

Results
Recent studies have reported the crucial roles of noncoding RNAs (ncRNAs) in tumor progression. In this letter, we summarize some newfound non-coding RNAs (miRNAs, lncRNAs, circRNAs) and coding RNAs, which could regulate invasion or metastasis in NPC by downstream genes.

Conclusion
We elaborated on the clinical and therapeutic implications of partial putative markers for the treatment of invasion and metastasis in NPC.
Risk for primary cephalosporin resistance in Gram-negative bacteremia
Authors: John Princy , Shahbazian Sona , Lainhart William D. , Hayes Justin , Mochon Brian , Nix David E. 
Published: July 2023

Abstract

Objective:
This study aimed to examine the clinical risk factors for cephalosporin resistance in patients with Gram-negative bacteremia caused by Escherichia coli (EC), Klebsiella pneumoniae (KP), Enterobacter cloacae (ENC), and Pseudomonas aeruginosa (PS).

Methods:
This retrospective cohort study included 400 adults with Gram-negative bacteremia. The goal was to review 100 cases involving each species and approximately half resistant and half susceptible to first-line cephalosporins, ceftriaxone (EC or KP), or cefepime (ENC or PS). Logistic regression was used to identify factors predictive of resistance.

Results:
A total of 378 cases of Gram-negative bacteremia were included in the analysis. Multivariate analysis identified significant risk factors for resistance, including admission from a chronic care hospital, skilled nursing facility, or having a history of infection within the prior 6 months (OR 3.00, P < .0001), requirement for mechanical ventilation (OR 3.76, P < .0001), presence of hemiplegia (OR 3.54, P = .0304), and presence of a connective tissue disease (OR 3.77, P = .0291).

Conclusions:
Patients without the identified risk factors should be strongly considered for receiving ceftriaxone or cefepime rather than carbapenems and newer broad-spectrum agents.
Measuring what matters: a descriptive participatory case evaluation of a tool for measuring outcomes of assistive technology after acquired brain injury
Authors: Layton Natasha , Cerf Chris Le 
Published: July 2023

AbstractAcquired Brain Injury (ABI) can lead to the need to plan for housing, assistive technology and support to meet a person’s goals. Recent Australian policy reforms have brought about opportunities for person-centred approaches to assistive technology (AT) product selection, and the opportunity for users of supports such as assistive technology and environmental adaptations to describe and measure their own outcomes. My AT Outcomes Framework (MyATOF) is an Australian tool designed for use by AT users and their support networks to articulate supports, outcomes, costs, and service delivery experiences. This article aims (i) report on use of MyATOF in a case study of ABI and AT-enabled housing and (ii) critically evaluate MyATOF tools and administration for this use case from the perspectives of the MyATOF author, an occupational therapist, and a lived experience expert with an ABI. An iterative development and test design was used to adapt the MyATOF administration procedures and conduct a case report evaluation. Results support the relevance of MyATOF conceptual domains, and detailed data about outcomes made possible by an AT-enabled home was captured. Recommendations are made to further refine the questions for ease of use by persons with ABI including simplifying the costing tool and enabling staggered administration. This case report suggests MyATOF can ‘measure what matters’ for ABI and AT-enabled housing and is worthy of further evaluation.
Priority skills for equity-focused, evidence-based cancer control in community-based organizations: A group concept mapping analysis with academics and practitioners
Authors: Ramanadhan Shoba , Weese Maggie , Rosas Scott R. , Cruz Jennifer L. , Chwa Cindy , Rivard Madison K. , Kirk Shinelle , Whitaker Albert , Kirk Judi , Peterson Karen , Eisenkraft Arthur 
Published: July 2023

Abstract

Introduction:
Community-based organizations (CBOs) are important equity-promoting delivery channels for evidence-based interventions (EBIs). However, CBO practitioners often cannot access needed support to build EBI skills. Additionally, the capacity-building literature is hindered by inconsistent definitions, limited use of validated measures, and an emphasis on the perspectives of EBI developers versus implementers. To address these gaps, we explored commonalities and differences between CBO practitioners and academics in conceptualizing and prioritizing core EBI skills.

Methods:
We utilized Group Concept Mapping, a mixed-methods approach connecting qualitative data (e.g., regarding the range of critical EBI skills) and quantitative data (e.g., sorting and ranking data regarding unique skills) to create conceptual maps integrating perspectives from diverse participants. A total of 34 practitioners and 30 academics working with cancer inequities participated in the study.

Results:
Participants nominated 581 core skills for EBI use, and our team (including practitioners and academics) identified 98 unique skills from this list. Participants sorted them into conceptual groups, yielding five clusters: (1) using data and evaluation, (2) selecting and adapting EBIs, (3) connecting with community members, (4) building diverse and equitable partnerships, and (5) managing EBI implementation. The ordering of importance and presence of skill clusters were similar across groups. Overall, importance was rated higher than presence, suggesting capacity gaps.

Conclusions:
There are helpful commonalities between practitioners’ and academics’ views of core EBI skills in CBOs and apparent capacity gaps. However, underlying patterns suggest that differences between the groups’ perceptions warrant further exploration.
The perceptual span in traditional Chinese
Authors: Pan Jinger , Yan Ming 
Published: July 2023

AbstractThe present study aimed at examining the perceptual span, the visual field area for information extraction within a single fixation, during the reading of traditional Chinese sentences. Native traditional Chinese readers’ eye-movements were recorded as they read sentences that were presented using a gaze-contingent technique, in which legible text was restricted within a window that moved in synchrony with the eyes, while characters outside the window were masked. Comparisons of the window conditions with a baseline condition in which no viewing constraint was applied showed that when the window revealed one previous character and three upcoming characters around the current fixation, reading speed and oculomotor activities reached peak performance. Compared to previous results with simplified Chinese reading, based on a similar set of materials, traditional Chinese exhibits a reduction of the perceptual span. We suggest that the visual complexity of a writing system likely influences the perceptual span during reading.
New Data from Pedra Pintada Cave, Brazilian Amazon: Technological Analyses of the Lithic Industries in the Pleistocene–Holocene
Authors: Rodet Maria Jacqueline , Duarte-Talim Déborah , Pereira Edithe , Moraes Claide 
Published: July 2023

AbstractFor many years, the existence of ancient human settlements in the Amazon was deemed impossible, particularly those as old as 12,000 BP as found in Pedra Pintada Cave in Monte Alegre, in the state of Pará, by Anna Roosevelt and colleagues in the 1990s and by Edithe Pereira's team in 2014. In this article, we present the results of the technological analyses of the bifacial tools found in the cave, focusing on raw materials, techniques, shaping and retouching methods, and technical procedures. The analyses indicate careful knapping, with no mistakes, in hundreds of flakes in the shaping and retouching phases, as well as fragmented tools with flaws. Whenever possible, we compare the results to the data published by Roosevelt and colleagues in 1996 from the same site.
A Role for the Fauxrizon in the Semiclassical Limit of a Fuzzball
Authors: Schneider Mike D. 
Published: July 2023

AbstractRecent work on the status of astrophysical modeling in the wake of quantum gravity indicates that a “fauxrizon” (a portmanteau of faux horizon), such as is relevant to understanding astrophysical black holes according to the fuzzball proposal within string theory, might ultimately solve the familiar black hole evaporation paradox. I clarify, with general upshots for the foundations of quantum gravity research, some of what this suggestion would amount to: identification of intertheoretic constraints on global spacetime structure in (observer-relative) semiclassical models of fuzzballs.
Association study of urinary iodine concentrations and coronary artery disease among adults in the USA: National Health and Nutrition Examination Survey 2003–2018
Authors: Wu Zhijian , Li Meng , Liu Jiandi , Xie Feng , Chen Yang , Yang Shuai , Li Xiaozhong , Wu Yanqing 
Published: July 2023

AbstractIodine is a vital trace element in the human body and is associated with several important coronary artery disease (CAD) risk factors. We aimed to explore the correlation between urinary iodine concentration (UIC) and CAD. Data from 15 793 US adults in the National Health and Nutrition Examination Survey (2003–2018) were analysed. We conducted multivariable logistic regression models and fitted smoothing curves to study the correlation between UIC and CAD. Furthermore, we performed subgroup analysis to investigate possible effect modifiers between them. We found a J-shaped association between UIC and CAD, with an inflection point at Lg UIC = 2·65 μg/l. This result indicated a neutral association (OR 0·89; 95 % CI 0·68, 1·16) between UIC and CAD as Lg UIC < 2·65 μg/l, but the per natural Lg [UIC] increment was OR 2·29; 95 % CI 1·53, 3·43 as Lg UIC ≥ 2·65 μg/l. An interaction between diabetes and UIC might exist. The increase in UIC results in an increase in CAD prevalence (OR 1·84, 95 % CI 1·32, 2·58) in diabetes but results in little to no difference in non-diabetes (OR 0·98, 95 % CI 0·77, 1·25). The J-shaped correlation between UIC and CAD and the interaction between diabetes and UIC should be confirmed in a prospective study with a series of UIC measurements. If excessive iodine precedes CAD, then this new finding could guide clinical practice and prevent iodine deficiency from being overcorrected.
Micronutrients and socio-demographic factors were major predictors of anaemia among the Ethiopian population
Authors: Belay Adamu , Joy Edward J. M. , Lark R. Murray , Ander E. Louise , Young Scott D. , Bailey Elizabeth H. , Broadley Martin R. , Gashu Dawd 
Published: July 2023

AbstractAnaemia is characterised by low hemoglobin (Hb) concentration. Despite being a public health concern in Ethiopia, the role of micronutrients and non-nutritional factors as a determinant of Hb concentrations has been inadequately explored. This study focused on the assessment of serum micronutrient and Hb concentrations and a range of non-nutritional factors, to evaluate their associations with the risk of anaemia among the Ethiopian population (n 2046). It also explored the mediation effect of Zn on the relation between se and Hb. Bivariate and multivariate regression analyses were performed to identify the relationship between serum micronutrients concentration, inflammation biomarkers, nutritional status, presence of parasitic infection and socio-demographic factors with Hb concentration (n 2046). Sobel–Goodman test was applied to investigate the mediation of Zn on relations between serum se and Hb. In total, 18·6 % of participants were anaemic, 5·8 % had iron deficiency (ID), 2·6 % had ID anaemia and 0·6 % had tissue ID. Younger age, household head illiteracy and low serum concentrations of ferritin, Co, Cu and folate were associated with anaemia. Serum se had an indirect effect that was mediated by Zn, with a significant effect of se on Zn (P < 0·001) and Zn on Hb (P < 0·001). The findings of this study suggest the need for designing a multi-sectorial intervention to address anaemia based on demographic group.
Understanding the Patient Experience of Foreign-Born Older Adults: A Scoping Review of Older Immigrants Receiving Health Care in Canada
Authors: Wood Jessica , Stolee Paul , Tong Catherine 
Published: July 2023

AbstractIn Canada, foreign-born older adults (FBOAs) have a higher prevalence of chronic conditions and poorer self-reported physical and mental health than their Canadian-born peers. However, very little research has explored FBOAs’ experiences of health care after immigration. This review aims to understand the patient experiences of older immigrants within the Canadian health care system. Employing Arksey and O’Malley’s framework for scoping reviews, we searched six databases and identified 12 articles that discussed the patient experience of this population. Although we sought to understand patient experience, the studies largely focused on barriers to care, including: communication difficulties, lack of cultural integration, systematic barriers in health care, financial barriers, and intersecting barriers related to culture and gender.This review provides insight into new areas of research and advocates for strengthened policy and/or programming. Our review also highlights that there is a paucity of literature for an ever-growing segment of the Canadian population.
Cross-language validation of COVID-19 Compliance Scale in 28 languages
Authors: Blackburn Angélique M. , Han Hyemin , Gallegos Aranza 
Published: July 2023

Abstract
Although compliance scales have been used to assess compliance with health guidelines to reduce the spread of COVID-19, no scale known to us has shown content validity regarding global guidelines and reliability across an international sample. We assessed the validity and reliability of a Compliance Scale developed by a group of over 150 international researchers. Exploratory factor analysis determined reliable items on the English version. Confirmatory factor analysis confirmed the reliability of the six-item scale and convergent validity was found. After invariance testing and alignment, we employed a novel R code to run a Monte Carlo simulation for alignment validation. This scale can be employed to measure compliance across multiple languages, and our alignment validation method can be conducted with future cross-language surveys.