bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship between nurse burnout, missed nursing care, and care quality following COVID‐19 pandemic
Authors: Nantsupawat Apiradee , Wichaikhum Orn‐Anong , Abhicharttibutra Kulwadee , Sadarangani Tina , Poghosyan Lusine 
Published: May 2023

AbstractObjectivesTo determine the relationship between nurse burnout, missed nursing care, and care quality following the COVID‐19 pandemic.BackgroundQuality of care and missed nursing care can be consequences of nurse burnout. Little is known about how these factors related to nurse burnout following the COVID‐19 pandemic.DesignThis study used a cross‐sectional correlational design and was conducted in 12 general hospitals across Thailand from August to October 2022.Methods394 nurses providing direct nursing care to patients during the COVID‐19 pandemic completed the survey. The Emotional Exhaustion (EE) subscale of the Maslach Burnout Inventory‐Human Services Survey (MBI‐HSS), MISSCARE survey, and quality of care reported by nurses were used to collect data. Descriptive statistics and logistic regression models were used to analyse the data.ResultsApproximately thirty‐six percent of nurses had burnout following the COVID‐19 pandemic. Missed nursing care was higher among nurses with burnout. Most participants reported illness/symptoms such as anxiety, fatigue, a lack of concentration, and sleeping problems. After adjusting for demographic characteristics, every additional unit of emotional exhaustion was associated with 1.61 times higher odds of missed nursing care, 3.37 times higher odds of poor quality of nurse care, and 2.62 times higher odds of poor quality of care for the overall unit.ConclusionThe study findings demonstrate that burnout is associated with missed nursing care and poor quality of care following the COVID‐19 pandemic.Relevance to Clinical PracticePolicymakers, hospital administrators, and nurse managers should invest in strategies to reduce nurse burnout, which can increase patient safety and quality of care.
Is There a Crisis in Clergy Health?: Reorienting Research Using a National Sample
Authors: Holleman Anna , Eagle David 
Published: May 2023

AbstractAre religious leaders unusually unhealthy? This question has long occupied scholars interested in the study of religious institutions, and a significant body of research has examined the causes, correlates, and effects of poor health among clergy. In this study, we aimed to: (1) outline the development of, and bias inherent to, the scholarly understanding of clergy health over the past 50 years; (2) test, using a recently collected nationally representative sample of clergy, the standing assumption that clergy are an especially unhealthy vocational group, specifically in terms of depression, obesity, and self‐rated health; and (3) identify the major correlates of health among clergy using these data. Contrary to the recent tenor of scholarly research on this subject, our research revealed that clergy are not a particularly unhealthy group. We suggest potential pathways forward to ameliorate the bias inherent in the research into clergy well‐being.
Double‐nozzle 3D‐printed bean paste buns: Effect of filling ratio and microwave heating time
Authors: Du Yuwei , Tang Tiantian , Zhang Min , Mujumdar Arun S. , Phuhongsung Pattarapon , Yu Dongxing 
Published: May 2023

AbstractWith the aggravation of the global aging process, more and more elderly people are facing the problem of dysphagia. The advantages of three‐dimensional (3D) printing in making chewy food are increasingly prominent. In this study, the two‐nozzle 3D printer was used to explore the effects of different proportions of buckwheat flour, printing filling ratio, microwave power, and time on the quality of bean‐paste buns. The results showed that the bean paste filling containing 6% buckwheat flour had the best antioxidant and sensory properties. When the filling ratio was 21.6%, the microwave power was 560 W, and the time was 4 min, the obtained sample was the most satisfactory. Compared with the microwave‐treated and steamed traditional samples, the chewiness of the samples was reduced by 52.43% and 15.14%, respectively, and the final product was easier to chew and swallow.
Rethinking First Language–Second Language Similarities and Differences in English Proficiency: Insights From the ENglish Reading Online (ENRO) Project
Authors: Siegelman Noam , Elgort Irina , Brysbaert Marc , Agrawal Niket , Amenta Simona , Arsenijević Mijalković Jasmina , Chang Christine S. , Chernova Daria , Chetail Fabienne , Clarke A. J. Benjamin , Content Alain , Crepaldi Davide , Davaabold Nastag , Delgersuren Shurentsetseg , Deutsch Avital , Dibrova Veronika , Drieghe Denis , Filipović Đurđević Dušica , Finch Brittany , Frost Ram , Gattei Carolina A. , Geva Esther , Godfroid Aline , Griener Lindsay , Hernández‐Rivera Esteban , Ivanenko Anastasia , Järvikivi Juhani , Kawaletz Lea , Khare Anurag , Lee Jun Ren , Lee Charlotte E. , Manouilidou Christina , Marelli Marco , Mashanlo Timur , Mišić Ksenija , Miwa Koji , Palma Pauline , Plag Ingo , Rezanova Zoya , Riimed Enkhzaya , Rueckl Jay , Schroeder Sascha , Sekerina Irina A. , Shalom Diego E. , Slioussar Natalia , Slosar Neža Marija , Taler Vanessa , Thériault Kim , Titone Debra , Tumee Odonchimeg , Wetering Ross van de , Verma Ark , Weiss Anna Fiona , Wu Denise Hsien , Kuperman Victor 
Published: May 2023

AbstractThis article presents the ENglish Reading Online (ENRO) project that offers data on English reading and listening comprehension from 7,338 university‐level advanced learners and native speakers of English representing 19 countries. The database also includes estimates of reading rate and seven component skills of English, including vocabulary, spelling, and grammar, as well as rich demographic and language background data. We first demonstrate high reliability for ENRO tests and their convergent validity with existing meta‐analyses. We then provide a bird's‐eye view of first (L1) and second (L2) language comparisons and examine the relative role of various predictors of reading and listening comprehension and reading speed. Across analyses, we found substantially more overlap than differences between L1 and L2 speakers, suggesting that English reading proficiency is best considered across a continuum of skill, ability, and experiences spanning L1 and L2 speakers alike. We end by providing pointers for how researchers can mine ENRO data for future studies.
Breastfeeding is associated with the intelligence of school‐age children in Mexico
Authors: Peña‐Ruiz Lidia Sarahi , Unar‐Munguía Mishel , Colchero Mónica Arantxa , Alarid‐Escudero Fernando , Pérez‐Escamilla Rafael 
Published: May 2023

AbstractBreastfeeding has been consistently associated with higher intelligence since childhood. However, this relation could be confounded due to maternal selection bias. We estimated the association between predominant breastfeeding and intelligence in school‐age children considering potential selection bias and we simulated the intelligence gap reduction between low versus higher socioeconomic status children by increasing breastfeeding. We analysed predominant breastfeeding practices (breastmilk and water‐based liquids) of children 0–3 years included in the Mexican Family Life Survey (MxFLS‐1). Intelligence was estimated as the z‐score of the abbreviated Raven score, measured at 6–12 years in the MxFLS‐2 or MxFLS‐3. We predicted breastfeeding duration among children with censored data with a Poisson model. We used the Heckman selection model to assess the association between breastfeeding and intelligence, correcting for selection bias and stratified by socioeconomic status. Results show after controlling for selection bias, a 1‐month increase in predominant breastfeeding duration was associated with a 0.02 SD increase in the Raven z‐score (p < 0.05). The children who were predominantly breastfed for 4–6 months versus <1 month had 0.16 SD higher Raven z‐score (p < 0.05). No associations were found using multiple linear regression models. Among low socioeconomic status children, increasing predominantly breastfeeding duration to 6 months would increase their mean Raven z‐score from −0.14 to −0.07 SD and reduce by 12.5% the intelligence gap with high socioeconomic status children. In conclusion, predominant breastfeeding duration was significantly associated with childhood intelligence after controlling for maternal selection bias. Increased breastfeeding duration may reduce poverty‐driven intelligence inequities.
A model of photosynthetic CO2 assimilation in C3 leaves accounting for respiration and energy recycling by the plastidial oxidative pentose phosphate pathway
Authors: Wieloch Thomas , Augusti Angela , Schleucher Jürgen 
Published: May 2023

Summary
Recently, we reported estimates of anaplerotic carbon flux through the oxidative pentose phosphate pathway (OPPP) in chloroplasts into the Calvin–Benson cycle. These estimates were based on intramolecular hydrogen isotope analysis of sunflower leaf starch. However, the isotope method is believed to underestimate the actual flux at low atmospheric CO2 concentration (Ca).
Since the OPPP releases CO2 and reduces NADP+, it can be expected to affect leaf gas exchange under both rubisco‐ and RuBP‐regeneration‐limited conditions. Therefore, we expanded Farquhar‐von Caemmerer–Berry models to account for OPPP metabolism. Based on model parameterisation with values from the literature, we estimated OPPP‐related effects on leaf carbon and energy metabolism in the sunflowers analysed previously.
We found that flux through the plastidial OPPP increases both above and below Ca ≈ 450 ppm (the condition the plants were acclimated to). This is qualitatively consistent with our previous isotope‐based estimates, yet gas‐exchange‐based estimates are larger at low Ca.
We discuss our results in relation to regulatory properties of the plastidial and cytosolic OPPP, the proposed variability of CO2 mesophyll conductance, and the contribution of day respiration to the A/Ci curve drop at high Ca. Furthermore, we critically examine the models and parameterisation and derive recommendations for follow‐up studies.
Hydrogen isotope fractionation in carbohydrates of leaves and xylem tissues follows distinct phylogenetic patterns: a common garden experiment with 73 tree and shrub species
Authors: Schuler Philipp , Vitali Valentina , Saurer Matthias , Gessler Arthur , Buchmann Nina , Lehmann Marco M. 
Published: May 2023

Summary
Recent methodological advancements in determining the nonexchangeable hydrogen isotopic composition (δ2Hne) of plant carbohydrates make it possible to disentangle the drivers of hydrogen isotope (2H) fractionation processes in plants.
Here, we investigated the influence of phylogeny on the δ2Hne of twig xylem cellulose and xylem water, as well as leaf sugars and leaf water, across 73 Northern Hemisphere tree and shrub species growing in a common garden.
2H fractionation in plant carbohydrates followed distinct phylogenetic patterns, with phylogeny reflected more in the δ2Hne of leaf sugars than in that of twig xylem cellulose. Phylogeny had no detectable influence on the δ2Hne of twig or leaf water, showing that biochemistry, not isotopic differences in plant water, caused the observed phylogenetic pattern in carbohydrates. Angiosperms were more 2H‐enriched than gymnosperms, but substantial δ2Hne variations also occurred at the order, family, and species levels within both clades. Differences in the strength of the phylogenetic signals in δ2Hne of leaf sugars and twig xylem cellulose suggest that the original phylogenetic signal of autotrophic processes was altered by subsequent species‐specific metabolism.
Our results will help improve 2H fractionation models for plant carbohydrates and have important consequences for dendrochronological and ecophysiological studies.
Astrocytes as master modulators of neural networks: Synaptic functions and disease‐associated dysfunction of astrocytes
Authors: Stogsdill Jeffrey A. , Harwell Corey C. , Goldman Steven A. 
Published: May 2023

AbstractAstrocytes are the most abundant glial cell type in the central nervous system and are essential to the development, plasticity, and maintenance of neural circuits. Astrocytes are heterogeneous, with their diversity rooted in developmental programs modulated by the local brain environment. Astrocytes play integral roles in regulating and coordinating neural activity extending far beyond their metabolic support of neurons and other brain cell phenotypes. Both gray and white matter astrocytes occupy critical functional niches capable of modulating brain physiology on time scales slower than synaptic activity but faster than those adaptive responses requiring a structural change or adaptive myelination. Given their many associations and functional roles, it is not surprising that astrocytic dysfunction has been causally implicated in a broad set of neurodegenerative and neuropsychiatric disorders. In this review, we focus on recent discoveries concerning the contributions of astrocytes to the function of neural networks, with a dual focus on the contribution of astrocytes to synaptic development and maturation, and on their role in supporting myelin integrity, and hence conduction and its regulation. We then address the emerging roles of astrocytic dysfunction in disease pathogenesis and on potential strategies for targeting these cells for therapeutic purposes.
Double trouble: Co‐infection of potato with the causal agents of late and early blight
Authors: Brouwer Sophie M. , Wolters Pieter J. , Andreasson Erik , Liljeroth Erland , Vleeshouwers Vivianne G. A. A. , Grenville‐Briggs Laura J. 
Published: May 2023

AbstractGlobal potato production is plagued by multiple pathogens, amongst which are Phytophthora infestans and Alternaria solani, the causal agents of potato late blight and early blight, respectively. Both these pathogens have different lifestyles and are successful pathogens of potato, but despite observations of both pathogens infecting potato simultaneously in field conditions, the tripartite interactions between potato and these two pathogens are so far poorly understood. Here we studied the interaction of A. solani and P. infestans first in vitro and subsequently in planta both in laboratory and field settings. We found that A. solani can inhibit P. infestans in terms of growth in vitro and also infection of potato in both laboratory experiments and in an agriculturally relevant field setting. A. solani had a direct inhibitory effect on P. infestans in vitro and compounds secreted by A. solani had both an inhibitory and disruptive effect on sporangia and mycelium of P. infestans in vitro. In planta infection bioassays revealed that simultaneous co‐inoculation of both pathogens resulted in larger necrotic lesions than single inoculations; however, consecutive inoculations only resulted in larger lesions when A. solani was inoculated after P. infestans. These results indicate that the order in which these pathogens attempt to colonize potato is important for the disease outcome and that the influence of plant pathogens on each other should be accounted for in the design of future disease control strategies in crops such as potato.
Transcriptional repression of MdMa1 by MdMYB21 in Ma locus decreases malic acid content in apple fruit
Authors: Peng Yunjing , Yuan Yangyang , Chang Wenjing , Zheng Litong , Ma Wenfang , Ren Hang , Liu Peipei , Zhu Lingcheng , Su Jing , Ma Fengwang , Li Mingjun , Ma Baiquan 
Published: May 2023

SUMMARYMalic acid is a major organic acid component of apples and a crucial determinant of fruit organoleptic quality. A candidate gene for malic acid content, designated MdMa1, was previously identified in the Ma locus, which is a major quantitative trait locus (QTL) for apple fruit acidity located on the linkage group 16. Region‐based association mapping to detect candidate genes in the Ma locus identified MdMa1 and an additional MdMYB21 gene putatively associated with malic acid. MdMYB21 was significantly associated with fruit malic acid content, accounting for ~7.48% of the observed phenotypic variation in the apple germplasm collection. Analyses of transgenic apple calli, fruits and tomatoes demonstrated that MdMYB21 negatively regulated malic acid accumulation. The apple fruit acidity‐related MdMa1 and its tomato ortholog, SlALMT9, exhibited lower expression profiles in apple calli, mature fruits and tomatoes in which MdMYB21 was overexpressed, compared with their corresponding wild‐type variety. MdMYB21 directly binds to the MdMa1 promoter and represses its expression. Interestingly, a 2‐bp variation in the MdMYB21 promoter region altered its expression and regulation of its target gene, MdMa1, expression. Our findings not only demonstrate the efficiency of integrating QTL and association mapping in the identification of candidate genes controlling complex traits in apples, but also provide insights into the complex regulatory mechanism of fruit malic acid accumulation.
Reviewer Acknowledgements for International Journal of English and Cultural Studies, Vol. 6, No. 1
Authors: Howard Nina 
Published: May 2023

International Journal of English and Cultural Studies (IJECS) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether IJECS publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue. Reviewers for Volume 6, Number 1Abdelhamid M. Ahmed, Helwan University, EgyptAli Hashemi, Yazd University, IranAna Maria Costa Lopes, Higher School of Education of Viseu, Viseu Polytechnic Institute, PortugalEllie Boyadzhieva, South-West University, Blagoevgrad, BulgariaGillian Steinberg, SAR High School, USAHerman, University of HKBP Nommensen, IndonesiaJânderson Coswosk, Instituto Federal do Espírito Santo, BrazilJoseph Hokororo Isamail, Institute of Judicial Administration Lushoto, TanzaniaKeeley Megan Buehler Hunter, Southern New Hampshire University, SwitzerlandNicolau Nkiawete Manuel, Agostinho Neto University, AngolaShashi Naidu, Ball State University, United StatesVasfiye Geckin, Bogazici University, TurkeyZhongfeng Huang, Beihang University, China Nina HowardEditorial AssistantInternational Journal of English and Cultural StudiesRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97006-6018, USAWebsite: http://ijecs.redfame.com
Elimination of imaginaries in C((Γ))$\mathbb {C}((\Gamma ))$
Authors: Vicaría Mariana 
Published: May 2023

AbstractIn this paper, we study elimination of imaginaries in henselian valued fields of equicharacteristic zero and residue field algebraically closed. The results are sensitive to the complexity of the value group. We focus first on the case where the ordered abelian group has finite spines, and then prove a better result for the dp‐minimal case. In previous work the author proved that an ordered abelian with finite spines weakly eliminates imaginaries once one adds sorts for the quotient groups for each definable convex subgroup , and sorts for the quotient groups where is a definable convex subgroup and . We refer to these sorts as the quotient sorts. Jahnke, Simon, and Walsberg (J. Symb. Log. 82 (2017) 151–165) characterized ‐minimal ordered abelian groups as those without singular primes, that is, for every prime number one has .We prove the following two theorems:
Virtual Footwear Try-On in Augmented Reality Using Deep Learning Models
Authors: Chou Ting , Chu Chih-Hsing , Liu Shengjun 
Published: May 2023

Abstract
Customization is an increasing trend in fashion product industry to reflect individual lifestyles. Previous studies have examined the idea of virtual footwear try-on in augmented reality (AR) using a depth camera. However, the depth camera restricts the deployment of this technology in practice. This research proposes to estimate the six degrees-of-freedom pose of a human foot from a color image using deep learning models to solve the problem. We construct a training dataset consisting of synthetic and real foot images that are automatically annotated. Three convolutional neural network models (deep object pose estimation (DOPE), DOPE2, and You Only Look Once (YOLO)-6D) are trained with the dataset to predict the foot pose in real-time. The model performances are evaluated using metrics for accuracy, computational efficiency, and training time. A prototyping system implementing the best model demonstrates the feasibility of virtual footwear try-on using a red–green–blue camera. Test results also indicate the necessity of real training data to bridge the reality gap in estimating the human foot pose.
Inverse Kinematics Solution Method of an Adaptive Piecewise Geometry for Cable-Driven Hyper-Redundant Manipulator
Authors: Yang Qiang , Zhou Qinghua , Zhou Guangwu , Jiang Ming , Zhao Zhijun 
Published: May 2023

Abstract
Cable-driven hyper-redundant manipulator (CDHM) with flexible and compliant configuration has high maneuverability in a tight space owing to its multiple degrees of freedom (DOFs). However, an increase in the DOFs of the manipulator makes it very challenging to solve its inverse kinematics. The present work proposes a novel adaptive piecewise geometry method to solve the inverse kinematics of the CDHM. The corresponding computation efficiency will be much lower for traditional methods, i.e., the generalized inverse of the Jacobian matrix and artificial neural network method. When the end-effector of the manipulator is required to move with a larger range, Joint angle physical limit needs to be considered and the proposed method can select the optimal arc configuration to solve the inverse kinematics aiming at reducing joint overrun. An adaptive adjustment coefficient is further introduced to optimize the double-arc configuration so that joint motion is more reasonable as well as avoiding singular configuration. The geometry and joint parameters solved with the proposed novel method are then compared to those of the existing method with the same desired target position to verify the effectiveness of the proposed novel method. Finally, a 12-DOFs hyper-redundant manipulator physical prototype is built, and corresponding experimental results show that with the novel solution method, the manipulator end can precisely reach the expected target position with significantly less computational complexity, which is beneficial to improve real-time control efficiency of the CDHM in practical applications.
Assimilation of Disparate Data for Improving the Performance Prediction of Body-Force Model
Authors: Wang Xuegao , Hu Jun , Ma Shuai 
Published: May 2023

Abstract
Despite the extensive application of three-dimensional Reynolds-averaged Navier-Stokes equation (RANS) in axial compressor numerical simulations, body-force model (BFM) also plays its own role profiting from its low computation cost. However, the computation accuracy highly depends on the modeling of blade force, which usually involves several parameter constants. In this work, data assimilation based on Ensemble Kalman Filter (EnKF) was employed to optimize these model constants in BFM. Previous work associated with data assimilation mainly focuses on employing only one data source. Considering the various measurement quantities in engineering practice, disparate data were incorporated into the assimilation method to improve the prediction. The test case of a low-speed axial compressor was provided. Only one single data source, i.e., total pressure ratio, was first employed as the observation data in EnKF. And to reveal the superiority of the disparate data assimilation, total pressure ratio and isentropic efficiency were then incorporated to improve the performance prediction. The converged results reveal the robustness of disparate data assimilation based on EnKF. At last, the rationality of the optimized constants is verified further through the great agreement between the measurement and the prediction of BFM, with regard to the radial profile and the performance at another rotational speed.