bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cashless preferences during the COVID-19 pandemic: investigating user intentions to continue UPI-based payment systems in India
Authors: Kirmani Mohd Danish , Haque Md. Asadul , Sadiq Muhammad Ahsan , Hasan Faiz 
Published: June 2022

Purpose
This study aims to examine the factors influencing user satisfaction with unified payment interface (UPI)-based payment systems during the COVID-19 pandemic in India. The study also aimed to examine whether the user satisfaction with UPI-based payment systems during the COVID-19 pandemic will transform into their continuance intention post-COVID-19 pandemic.

Design/methodology/approach
The study was performed in three phases, i.e. pre-testing (for developing questionnaire), pilot study (using exploratory factor analysis to ensure unidimensionality) and the main study. The main study was based on the feedback from a sample of 369 internet users who first used the UPI-based payment system during the COVID-19 pandemic. Data generated were analysed using the structural equation modelling approach.

Findings
The study findings suggest that the users who are satisfied with UPI-based transactions during the COVID-19 pandemic are likely to continue their use of this payment mode in future. Factors such as post-adoption perceived value, perceived usefulness and post-adoption perceived risk were observed to be key constructs in explaining user satisfaction and continued intention for UPI-based payment systems.

Originality/value
The study is one of the pioneering studies, in the sense that it investigated the continuance intention of UPI-based payment systems, which, surprisingly, did not gain much attention from past researchers.
What is the clinical impact of occult HBV infections and anti‐HBc positivity in patients with chronic hepatitis C?
Authors: Cakal Bulent , Cavus Bilger , Atasoy Alp , Poda Mehves , Bulakci Mesut , Gulluoglu Mine , Demirci Mehmet , Sener Leyla Turker , Altunok Damla , Arslan Asli Berru , Akyuz Filiz 
Published: June 2022

AbstractOccult hepatitis B infection (OBI) is defined by the persistence of the hepatitis B virus (HBV) genome in the liver of individuals testing negative for hepatitis B surface antigen (HBsAg). Hepatitis B core antibody (anti‐HBc) is the serological marker that indicates HBV exposure. The impact of anti‐HBc and OBI on patients with chronic hepatitis C remains unclear. The aim of the present study was to determine the prevalence of anti‐HBc and OBI and to evaluate their impact on the clinical and pathological outcomes of patients with chronic hepatitis C. The study included 59 HBsAg‐negative chronic hepatitis C patients who underwent a liver parenchymal biopsy. The presence of HBV DNA was investigated using an in‐house nested PCR method. OBI was detected in 16 (27.1%) of the 59 cases and also in 10 (62.5%) of 22 (37.3%) anti‐HBc‐positive patients. None of the patients had positive serum HBV DNA. OBI was associated with the presence of anti‐HBV antibodies (P < 0.05). There was also an association between anti‐HBc positivity and the activity grades and fibrosis stages of the liver and also a prevalence of liver steatosis (P < 0.05). Positive anti‐HBc results may predict OBI and may also be associated with the progression of liver injury in HBsAg‐negative patients with chronic hepatitis C. Therefore, it is suggested that patients with chronic hepatitis C should be screened for anti‐HBc positivity, and anti‐HBc‐positive patients should be carefully evaluated for disease progression.
Causal inference with observational data in addiction research
Authors: Chan Gary C. K. , Lim Carmen , Sun Tianze , Stjepanovic Daniel , Connor Jason , Hall Wayne , Leung Janni 
Published: June 2022

AbstractRandomized controlled trials (RCTs) are the gold standard for making causal inferences, but RCTs are often not feasible in addiction research for ethical and logistic reasons. Observational data from real‐world settings have been increasingly used to guide clinical decisions and public health policies. This paper introduces the potential outcomes framework for causal inference and summarizes well‐established causal analysis methods for observational data, including matching, inverse probability treatment weighting, the instrumental variable method and interrupted time‐series analysis with controls. It provides examples in addiction research and guidance and analysis codes for conducting these analyses with example data sets.
Different segmental resection techniques and postoperative complications in patients with colorectal endometriosis: A systematic review
Authors: Darici Ezgi , Salama Mohamed , Bokor Attila , Oral Engin , Dauser Bernhard , Hudelist Gernot 
Published: June 2022

AbstractIntroductionThe aim of this study was to analyze the available literature by conducting a systematic review to assess the possible effects of nerve‐sparing segmental resection and conventional bowel resection on postoperative complications for the treatment of colorectal endometriosis.Material and methodsPubmed, Clinical Trials.gov, Cochrane Library, and Web of Science were comprehensively searched from 1997 to 2021 in order to perform a systematic review. Studies including patients undergoing segmental resection for colorectal endometriosis including adequate follow‐up, data on postoperative complications and postoperative sequelae were enrolled in this review. Selected articles were evaluated and divided in two groups: Nerve‐sparing resection (NSR), and conventional segmental resection not otherwise specified (SRNOS). Within the NSRs, studies mentioning preservation of the rectal artery supply (artery and nerve‐sparing SR – ANSR) and not reporting preservation of the artery supply (NSR not otherwise specified – NSRNOS) were further analyzed. PROSPERO ID: CRD42021250974.ResultsA total of 7549 patients from 63 studies were included in the data analysis. Forty‐three of these publications did not mention the preservation or the removal of the hypogastric nerve plexus, or main rectal artery supply and were summarized as SRNOS. The remaining 22 studies were listed under the NSR group. The mean size of the resected deep endometriosis lesions and patients’ body mass index were comparable between SRNOS and NSR. A mean of 3.6% (0–16.6) and 2.3% (0–10.5%) of rectovaginal fistula development was reported in patients who underwent SRNOS and NSR, respectively. Anastomotic leakage rates varied from 0% to 8.6% (mean 1.7 ± 2%) in SRNOS compared with 0% to 8% (mean 1.7 ± 2%) in patients undergoing NSR. Urinary retention (4.5% and 4.9%) and long‐term bladder catheterization (4.9% and 5.6%) were frequently reported in SRNOS and NSR. There was insufficient information about pain or the recurrence rates for women undergoing SRNOS and NSR.ConclusionsCurrent data describe the outcomes of different segmental resection techniques. However, the data are inhomogeneous and not sufficient to reach a conclusion regarding a possible advantage of one technique over the other.
Serological biomarkers of type I, III and IV collagen turnover are associated with the presence and future progression of stricturing and penetrating Crohnʼs disease
Authors: Bourgonje Arno R. , Alexdottir Marta S. , Otten Antonius T. , Loveikyte Roberta , Bay‐Jensen Anne‐Christine , Pehrsson Martin , van Dullemen Hendrik M. , Visschedijk Marijn C. , Festen Eleonora A. M. , Weersma Rinse K. , Karsdal Morten A. , Faber Klaas Nico , Mortensen Joachim H. , Dijkstra Gerard 
Published: June 2022

SummaryBackgroundIncreased collagen remodelling is a key pathophysiological component underlying intestinal stricture and fistula development in Crohn's disease (CD).AimsTo investigate associations between serological biomarkers of collagen turnover and disease behaviour according to the Montreal classification in patients with CD.MethodsSerological biomarkers of type III/IV collagen formation (PRO‐C3, PRO‐C4) and matrix metalloproteinase (MMP) or granzyme‐B (GrzB)‐mediated type I, III, IV and VI collagen degradation (C1M, C3M, C4M, C4G, C6Ma3) were measured using neo‐epitope protein fingerprint assays in 101 patients with CD (Montreal B1: n = 37; B2: n = 27; B3: n = 37) and 96 controls. Patients were followed up until their last outpatient visit to monitor stricturing/penetrating disease progression and recurrence and the occurrence of surgical interventions.ResultsC1M, C3M and C4M were significantly reduced in patients with stricturing disease (Montreal B2) and accurately differentiated them from patients with either non‐stricturing, non‐penetrating (B1) or penetrating (B3) disease (all p < 0.001, multivariable analysis). Similarly, the type IV collagen formation/degradation (PRO‐C4/C4M) ratio demonstrated high discriminative capacity (B1/B2: AUC = 0.90; B1/B3: AUC = 0.87, both p < 0.001, multivariable analysis). Prospectively, higher baseline levels of C1M and C4G were associated with an increased risk of penetrating disease progression (C4G: hazard ratio [HR] 1.71 [1.05–2.81], p < 0.05).ConclusionsElevated degradation of type I, III and IV collagen and excessive (relative) formation of type IV collagen strongly associates with stricturing CD. Type I and IV collagen fragments show predictive potential for the risk of penetrating disease progression. These biomarkers may become valuable tools for detection and prediction of stricturing and penetrating CD.
Ixekizumab rapidly improves inflammatory markers in patients with generalized pustular psoriasis
Authors: Ito Makoto , Kamata Masahiro , Uchida Hideaki , Egawa Shota , Nagata Mayumi , Fukaya Saki , Hayashi Kotaro , Fukuyasu Atsuko , Tanaka Takamitsu , Ishikawa Takeko , Tada Yayoi 
Published: June 2022

Abstract
Computer‐supported knowledge building to enhance reading motivation and comprehension
Authors: Hong Huang‐Yao , Lee Yuan‐Hsuan 
Published: June 2022

AbstractReading motivation can greatly impact reading comprehension, but it tends to diminish in and beyond elementary school. This study employs knowledge building pedagogy to advance reading motivation and comprehension in an elementary Chinese language arts class. Participants were twenty‐four third graders who spent one class period (ie, 40 minutes) for 18 weeks in Knowledge Forum to study 10 lessons in a reading textbook. Data mainly came from: a reading motivation questionnaire, online interaction logs, online discourse and PILRS reading comprehension assessments. It was found that knowledge building enhanced children's reading motivation (particularly in terms of reading competence) and reading comprehension (especially at the higher levels). Most students demonstrated spontaneous engagement in advanced online activities demanding high‐level agency. A correlation was also identified between children's motivation to read and more advanced online discourse behaviours requiring higher agency, leading to a deeper understanding of reading. Implications for fostering a motivated reading community that values collective knowledge advancement are discussed.Practitioner notesWhat is already known about this topicInnovating classroom‐based instruction for enhancing learners' reading motivation and comprehension has been an important challenge in reading education.Reading motivation is positively associated with reading comprehension but tends to diminish in and beyond elementary school.Technology‐supported reading and learning are further enhanced by interactive online discussions among learners.Engaging learners in collective knowledge building activities can facilitate their reading comprehension.What this paper addsLearner engagement in knowledge building activities, particularly advanced online activities, is associated with higher reading motivation (especially intrinsic reading competence).The process analysis shows that learners' online discourses focus more on higher‐level reading comprehension with extended use of knowledge building pedagogy.Learners exhibit better reading comprehension across all levels of reading comprehension with the implementation of knowledge building pedagogy.Implications for practice and/or policyKnowledge building pedagogy, featuring assuming agency, working with ideas, and fostering community practices, can be a viable approach to reading motivation and comprehension.The design of digital platforms should aim not just to foster knowledge‐acquiring and ‐sharing from reading but also to extend reading into knowledge building activities that highlight idea improvement.
Status of Southeast Asia's marine sharks and rays
Authors: Clark‐Shen Naomi , Chin Andrew , Arunrugstichai Sirachai , Labaja Jessica , Mizrahi Meira , Simeon Benaya , Hutchinson Neil 
Published: June 2022

AbstractIn Southeast Asia, elasmobranchs are particularly threatened. We synthesized knowledge from the peer‐reviewed and gray literature on elasmobranchs in the region, including their fisheries, status, trade, biology, and management. We found that 59% of assessed species are threatened with extinction and 72.5% are in decline; rays were more threatened than sharks. Research and conservation is complicated by the socioeconomic contexts of the countries, geopolitical issues in the South China Sea, and the overcapacity and multispecies nature of fisheries that incidentally capture elasmobranchs. The general paucity of data, funds, personnel, and enforcement hinders management. Reduced capacity in the general fishery sector and marine protected areas of sufficient size (for elasmobranchs and local enforcement capabilities) are among recommendations to strengthen conservation.
Diet analysis of bats killed at wind turbines suggests large‐scale losses of trophic interactions
Authors: Scholz Carolin , Voigt Christian C. 
Published: June 2022

AbstractAgricultural practice has led to landscape simplification and biodiversity decline, yet recently, energy‐producing infrastructures, such as wind turbines, have been added to these simplified agroecosystems, turning them into multi‐functional energy‐agroecosystems. Here, we studied the trophic interactions of bats killed at wind turbines using a DNA metabarcoding approach to shed light on how turbine‐related bat fatalities may possibly affect local habitats. Specifically, we identified insect DNA in the stomachs of common noctule bats (Nyctalus noctula) killed by wind turbines in Germany to infer in which habitats these bats hunted. Common noctule bats consumed a wide variety of insects from different habitats, ranging from aquatic to terrestrial ecosystems (e.g., wetlands, farmland, forests, and grasslands). Agricultural and silvicultural pest insects made up about 20% of insect species consumed by the studied bats. Our study suggests that the potential damage of wind energy production goes beyond the loss of bats and the decline of bat populations. Bat fatalities at wind turbines may lead to the loss of trophic interactions and ecosystem services provided by bats, which may add to the functional simplification and impaired crop production, respectively, in multi‐functional ecosystems.
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science
Authors: Unni Deepak R. , Moxon Sierra A. T. , Bada Michael , Brush Matthew , Bruskiewich Richard , Caufield J. Harry , Clemons Paul A. , Dancik Vlado , Dumontier Michel , Fecho Karamarie , Glusman Gustavo , Hadlock Jennifer J. , Harris Nomi L. , Joshi Arpita , Putman Tim , Qin Guangrong , Ramsey Stephen A. , Shefchek Kent A. , Solbrig Harold , Soman Karthik , Thessen Anne E. , Haendel Melissa A. , Bizon Chris , Mungall Christopher J. ,   The Biomedical Data Translator Consortium
Published: June 2022

AbstractWithin clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph‐based data models elucidate the interconnectedness among core biomedical concepts, enable data structures to be easily updated, and support intuitive queries, visualizations, and inference algorithms. However, knowledge discovery across these “knowledge graphs” (KGs) has remained difficult. Data set heterogeneity and complexity; the proliferation of ad hoc data formats; poor compliance with guidelines on findability, accessibility, interoperability, and reusability; and, in particular, the lack of a universally accepted, open‐access model for standardization across biomedical KGs has left the task of reconciling data sources to downstream consumers. Biolink Model is an open‐source data model that can be used to formalize the relationships between data structures in translational science. It incorporates object‐oriented classification and graph‐oriented features. The core of the model is a set of hierarchical, interconnected classes (or categories) and relationships between them (or predicates) representing biomedical entities such as gene, disease, chemical, anatomic structure, and phenotype. The model provides class and edge attributes and associations that guide how entities should relate to one another. Here, we highlight the need for a standardized data model for KGs, describe Biolink Model, and compare it with other models. We demonstrate the utility of Biolink Model in various initiatives, including the Biomedical Data Translator Consortium and the Monarch Initiative, and show how it has supported easier integration and interoperability of biomedical KGs, bringing together knowledge from multiple sources and helping to realize the goals of translational science.
Motor development in infants with complex congenital heart disease: A longitudinal study
Authors: Huisenga Darlene , la Bastide‐van Gemert Sacha , Van Bergen Andrew H. , Sweeney Jane K. , Hadders‐Algra Mijna 
Published: June 2022

AbstractAimTo evaluate whether infants with complex congenital heart disease (CCHD) have an increased risk of impaired quality of motor behavior and delayed motor milestones.MethodA cohort of 69 infants with CCHD (43 males, 26 females) were assessed with the Infant Motor Profile (IMP) at three time periods between 6 to 18 months, mean ages in months (SD): 6.4 (0.7); 12.7 (1.0); 18.5 (0.7) IMP data were available from a reference sample of 300 Dutch infants. Analyses included multivariable logistic regression analysis to estimate differences in IMP scores below the 15th centile between children with CCHD and the reference group, and linear mixed‐effects models to assess the effect of ventricular physiology and systemic oxygen saturation (SpO2) of less than 90% on IMP outcomes.ResultsInfants with CCHD had increased risks of total IMP scores below the 15th centile (lowest odds ratio [OR] at 18mo: 6.82 [95% confidence interval {CI} 2.87–16.19]), especially because of lower scores in the domains of variation, adaptability, and performance. Children with single ventricle CCHD scored consistently 3.03% (95% CI 1.00–5.07) lower than those with two ventricle physiology, mainly from contributions of the variation and performance domains. SpO2 of less than 90% was associated with 2.52% (95% CI 0.49–4.54) lower IMP scores.InterpretationCCHD, especially single ventricle physiology, increases risk of impaired motor development.What this paper adds

Complex congenital heart disease (CCHD) substantially increases risk of impaired motor development.
CCHD is associated with motor delay and reduced motor variation and adaptability.
Single ventricle physiology increases the risk of impaired motor behavior.
Non‐invasive electrical stimulation in patients with neurodegenerative ataxia and spasticity: A systematic review and meta‐analysis of randomized controlled trials
Authors: Mai Aaron Shengting , Yong Jung Hahn , Lim Oliver Zi Hern , Tan Eng‐King 
Published: June 2022

AbstractBackground and purposeThere are limited treatment options for patients with neurodegenerative ataxia and spasticity. Non‐invasive electrostimulation (NES) is receiving increasing interest because of its ease of implementation, cost‐effectiveness and safety. A meta‐analysis was conducted to evaluate the efficacy of NES.MethodsMEDLINE and Embase were screened for studies using NES in ataxias and spasticity. Key outcome measurements of effectiveness included changes in (1) Modified Ashworth Scale (MAS) scores, (2) cerebellar brain inhibition (CBI), (3) the nine‐hole peg test (9HPT), (4) the 8‐m walking time (8MWT), (5) International Cooperative Ataxia Rating Scale (ICARS) score and (6) the Scale for Assessment and Rating of Ataxia (SARA) scores.ResultsSeven randomized controlled trials involving 203 patients were included. There were significant improvements in MAS (mean difference [MD] −0.42, 95% confidence interval [CI] −0.76 to −0.08, p = 0.015), CBI (MD −0.35%, 95% CI −0.42 to −0.28, p < 0.001), 8MWT (MD −1.88 s, 95% CI −3.26 to −0.49, p = 0.008), ICARS (MD −7.84, 95% CI −11.90 to −3.78, p < 0.001) and SARA (MD −3.01, 95% CI −4.74 to −1.28, p < 0.001). There was almost no heterogeneity across all outcomes except for CBI (I2 = 79%). No significant changes in the 9HPT were observed comparing NES to a sham procedure (MD −3.52 s, 95% CI −9.15 to 2.10, p = 0.220). Most included studies were at low risk of bias, and no severe adverse effects were reported.ConclusionIt was demonstrated that NES is an effective treatment for improving coordination and balance and increased exercise capacity in patients with ataxia and spasticity. There was also a significant modulation of CBI in ataxic patients.
Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery
Authors: Yossofzai Omar , Fallah Aria , Maniquis Cassia , Wang Shelly , Ragheb John , Weil Alexander G. , Brunette‐Clement Tristan , Andrade Andrea , Ibrahim George M. , Mitsakakis Nicholas , Widjaja Elysa 
Published: June 2022

AbstractObjectiveThere is substantial variability in reported seizure outcome following pediatric epilepsy surgery, and lack of individualized predictive tools that could evaluate the probability of seizure freedom postsurgery. The aim of this study was to develop and validate a supervised machine learning (ML) model for predicting seizure freedom after pediatric epilepsy surgery.MethodsThis is a multicenter retrospective study of children who underwent epilepsy surgery at five pediatric epilepsy centers in North America. Clinical information, diagnostic investigations, and surgical characteristics were collected, and used as features to predict seizure‐free outcome 1 year after surgery. The dataset was split randomly into 80% training and 20% testing data. Thirty‐five combinations of five feature sets with seven ML classifiers were assessed on the training cohort using 10‐fold cross‐validation for model development. The performance of the optimal combination of ML classifier and feature set was evaluated in the testing cohort, and compared with logistic regression, a classical statistical approach.ResultsOf the 801 patients included, 61.3% were seizure‐free 1 year postsurgery. During model development, the best combination was XGBoost ML algorithm with five features from the univariate feature set, including number of antiseizure medications, magnetic resonance imaging lesion, age at seizure onset, video‐electroencephalography concordance, and surgery type, with a mean area under the curve (AUC) of .73 (95% confidence interval [CI] = .69–.77). The combination of XGBoost and univariate feature set was then evaluated on the testing cohort and achieved an AUC of .74 (95% CI = .66–.82; sensitivity = .87, 95% CI = .81–.94; specificity = .58, 95% CI = .47–.71). The XGBoost model outperformed the logistic regression model (AUC = .72, 95% CI = .63–.80; sensitivity = .72, 95% CI = .63–.82; specificity = .66, 95% CI = .53–.77) in the testing cohort (p = .005).SignificanceThis study identified important features and validated an ML algorithm, XGBoost, for predicting the probability of seizure freedom after pediatric epilepsy surgery. Improved prognostication of epilepsy surgery is critical for presurgical counseling and will inform treatment decisions.