bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perturbations of immune landscape in COVID‐19 associated mucormycosis
Authors: Desai Nidhi , Pradhan Vandana , Chougule Durga , Tiwari Smrati , Mandke Charuta , Yadav Reetika Malik , Athvale Amita , Kawle Juhi , Pai Vinayak , Pawaskar Swapnal , Kharkar Harshada , Bhosale Snehal , Parab Ankita , Ansari Shazia , Kumar Kinnera Harish , Mhashal Shashikant , Redkar Neelam , Madkaikar Manisha 
Published: November 2022

AbstractBackgroundA rise in secondary fungal infections during the COVID‐19 pandemic necessitates a deeper understanding of the associated immunological perturbations.ObjectivesTo evaluate the clinical and immunological characteristics observed in patients with COVID‐19 associated mucormycosis (CAM) infection.Patients/ MethodsCases of mucormycosis with or post‐COVID‐19 infection were compared with cases of acute COVID‐19 and convalescent COVID‐19. Lymphocyte subsets, cytokines and other laboratory markers were compared between the groups.ResultsThe frequency of proposed risk factors for CAM was diabetes mellitus (77%), recent history of steroid use (69%) and hypoxia during COVID‐19 infection (52%). Iron metabolism was dysregulated in CAM patients with low TIBC and total iron. Further, CAM was accompanied with lymphopenia with drastic reduction in B cell counts; however, plasmablasts were not altered. Further, CAM patients had low immunoglobulin levels and antibodies specific to mucor peptide did not increase in CAM suggesting dysfunction in B‐cell response. There was increase in activated effector cytotoxic CD8 T cells and NK cells in CAM compared with COVID‐19 infection and healthy controls. Among T helper cells, Tregs were reduced and Th‐1 frequency was increased in CAM compared with COVID‐19 infection. A distinct cytokine signature was evident in CAM with increase in IL‐1β, IFN‐γ, IL‐6, IL‐22, IL‐17A, IL‐10, IL‐2, IL‐8, IL‐7, IL‐21 and GM‐CSF.ConclusionThis is the first study on immunophenotyping in CAM suggesting the need for long‐term monitoring of B‐cell function after SARS‐CoV‐2 in patients with dysregulated glycaemic control and the possible benefit of therapeutic supplementation with intravenous immunoglobulins in CAM.
The nurse apprentice and fundamental bedside care: An historical perspective
Authors: Tesseyman Sheri , Peterson Katelin , Beaumont Emma 
Published: November 2022

AbstractThis historical study aims to explain how the transition from student nurse service to fully qualified “graduate nurse” service in the United States in the 20th century affected assumptions about fundamental patient care in hospital wards and provide historical context for current apprenticeship programs. Through analysis of documents from 1920 when student nurse service, a nurse apprentice model, was the norm to 1960 when the nurse apprentice model was waning in favor of registered nurse service, this study found that the replacement of student nurses with registered nurses led to weakened standardization of fundamental bedside care and the introduction of large numbers of unlicensed nursing assistants. While student nurses could perform all the functions of fully qualified graduate nurses, nursing assistants could not, resulting in a separation of fundamental nursing care from the professional nurse role and changes in assumptions and attitudes toward fundamental care. These changes had a negative effect on fundamental nursing care. New apprenticeship programs provide opportunities for improvement.
When do societal stakeholders matter for agency‐CEOs? The role of stakeholder arrangements and social media attention
Authors: Brummel Lars 
Published: November 2022

AbstractPublic agencies have to deal with accountability demands from various societal stakeholders. Stakeholders may address their accountability demands via formal stakeholder arrangements but can also use social media for account‐holding purposes. This contribution analyzes to what extent these different venues of social accountability affect the perceived relevance of societal stakeholders to agency‐CEOs—their so‐called “stakeholder orientation.” By combining quantitative and qualitative data, this study shows that agency‐CEOs' stakeholder orientation is strongly associated with actual social media attention. In contrast, the relationship between formal stakeholder arrangements and stakeholder orientation is weak. Qualitative insights from focus group discussions suggest that the associations between social media attention and stakeholder orientation can be explained by mediatization processes within agencies and the reputational risks of social media storms. Overall, the findings support that social media attention is the most important catalyst for stakeholder orientation, rather than stakeholder arrangements.
The coexpression of two desaturases provides an optimized reduction of saturates in camelina oil
Authors: Bengtsson Jesse D. , Wallis James G. , Bai Shuangyi , Browse John 
Published: November 2022

SummaryReducing the saturate content of vegetable oils is key to increasing their utility and adoption as a feedstock for the production of biofuels. Expression of either the FAT5 16 : 0‐CoA desaturase from Caenorhabditis elegans, or an engineered cyanobacterial 16 : 0/18 : 0‐glycerolipid desaturase, DES9*, in seeds of Arabidopsis (Arabidopsis thaliana) substantially lowered oil saturates. However, because pathway fluxes and regulation of oil synthesis are known to differ across species, translating this transgene technology from the model plant to crop species requires additional investigation. In the work reported here, we found that high expression of FAT5 in seeds of camelina (Camelina sativa) provided only a moderate decrease in saturates, from 12.9% of total oil fatty acids in untransformed controls to 8.6%. Expression of DES9* reduced saturates to 4.6%, but compromised seed physiology and oil content. However, the coexpression of the two desaturases together cooperatively reduced saturates to only 4.0%, less than one‐third of the level in the parental line, without compromising oil yield or seedling germination and establishment. Our successful lowering of oil saturates in camelina identifies strategies that can now be integrated with genetic engineering approaches that reduce polyunsaturates to provide optimized oil composition for biofuels in camelina and other oil seed crops.
Genetic basis of resistance to southern corn leaf blight in the maize multi‐parent population and diversity panel
Authors: Chen Gengshen , Xiao Yingjie , Dai Sha , Dai Zhikang , Wang Xiaoming , Li Bailin , Jaqueth Jennifer S. , Li Wenqiang , Lai Zhibing , Ding Junqiang , Yan Jianbing 
Published: November 2022

SummarySouthern corn leaf blight (SLB), caused by the necrotrophic pathogen Cochliobolus heterostrophus, is one of the maize foliar diseases and poses a great threat to corn production around the world. Identification of genetic variations underlying resistance to SLB is of paramount importance to maize yield and quality. Here, we used a random‐open‐parent association mapping population containing eight recombinant inbred line populations and one association mapping panel consisting of 513 diversity maize inbred lines with high‐density genetic markers to dissect the genetic basis of SLB resistance. Overall, 109 quantitative trait loci (QTLs) with predominantly small or moderate additive effects, and little epistatic effects were identified. We found 35 (32.1%) novel loci in comparison with the reported QTLs. We revealed that resistant alleles were significantly enriched in tropical accessions and the frequency of about half of resistant alleles decreased during the adaptation process owing to the selection of agronomic traits. A large number of annotated genes located in the SLB‐resistant QTLs were shown to be involved in plant defence pathways. Integrating genome‐wide association study, transcriptomic profiling, resequencing and gene editing, we identified ZmFUT1 and MYBR92 as the putative genes responsible for the major QTLs for resistance to C. heterostrophus. Our results present a comprehensive insight into the genetic basis of SLB resistance and provide resistant loci or genes as direct targets for crop genetic improvement.
Database for queries of melanoma cohorts with molecular and clinical data
Authors: Philip Manuel , Puppel Sven Holger , Stiller Mathias , Paschen Annette , Roesch Alexander , Zaremba Anne , Schadendorf Dirk , Horn Susanne 
Published: November 2022

AbstractLarge genome‐scale studies are deposited in various public sequence repositories. However, their access and analysis can be non‐trivial to infrequent users. Here, we present a new database connecting whole transcriptomes with clinical data for straight‐forward access and analysis of patient‐specific samples. Users can perform association tests of survival and gene expression across different cohorts, identify cell‐type expressions, or correlate the presence of immune cells. In summary, we present a new data hub for bench scientists to perform replication and discovery studies.
The co‐occurrence of segmental vitiligo and linear morphea in a pediatric patient and a review of the literature
Authors: Kahle Jordan , Rohr Bethany , Shah Sonal D. 
Published: November 2022

AbstractLinear morphea and segmental vitiligo are both autoimmune diseases that are observed in the pediatric population, with rare reports of their co‐existence. We describe a case of linear morphea and segmental vitiligo with an overlapping distribution in a pediatric patient and review the literature. Including our own case, we summarize 10 cases of co‐occurring segmental vitiligo and morphea in pediatric patients; most of these lesions follow a blaschkolinear distribution, and none of the patients had autoimmune thyroid disease. Although uncommon, the coexistence of segmental vitiligo and linear morphea within lines of Blaschko can occur, and this case suggests that linear morphea and segmental vitiligo may be disorders related to genetic mosaicism.
Presentation of cryopyrin‐associated periodic fever syndrome as chronic, afebrile urticaria in a 12‐month‐old female
Authors: Fitzgerald Lauren A. , Drissi Madeeha , Sepulveda Kirstin , Hovland Christopher , Hendrick Sophia J. , Dubrocq Gueorgui 
Published: November 2022

AbstractA healthy 12‐month‐old female presented with relapsing and remitting urticaria since birth that was resistant to treatment with antihistamines. A thorough history revealed extensive rheumatic disease on the father's side of the family, and subsequent genetic testing was positive for a missense variant of NLRP3, indicating cryopyrin‐associated periodic fever syndrome (CAPS). CAPS encompasses a spectrum of diseases, all related to a defect in the same gene; manifestations vary in severity and presentation, but most are associated with recurrent rash and fever. Because the patient's only presenting symptom was rash, this case highlights the importance of having a high index of suspicion for cryopyrin‐associated periodic fever syndrome in infants with persistent, early urticaria.
Disseminated idiopathic lipid keratopathy in a normolipemic cat
Authors: Botello‐Bárcenas Andrés , García‐Santisteban Rodrigo , Rodriguez‐Reyes Abelardo , Brooks Dennis E. , García‐Sánchez Gustavo Adolfo 
Published: November 2022

AbstractObjectiveTo report a case of idiopathic lipid keratopathy in a normolipemic cat.Animal StudiedA 10‐year‐old neutered female European domestic cat.ResultsA cat was evaluated for bilateral white corneal deposits. Slit‐lamp examination revealed multiple, well‐defined, round, stromal, cream‐colored deposits of different sizes associated with generalized superficial corneal vascularization. Blood lipids were normal, and no history of travel to tropical locations or ocular trauma was present. Topical betamethasone/gentamicin 0.1% suspension q 12 hours did not result in any improvement of clinical appearance after one week. Tomography following the initial therapy revealed dense, hyperreflective deposits with posterior shadowing in the anterior and mid stroma of both corneas. A four‐week course of itraconazole 0.01% ophthalmic cream was prescribed q 12 hours with no improvement. Four months after the initial examination, a diagnostic superficial keratectomy and amniotic membrane implantation were performed. Histopathological analysis showed membrane bound vacuoles with infiltration of foamy macrophages suggesting a diagnosis of primary lipidosis. The post‐surgical period was unremarkable, and ten days later, the patient was re‐examined. Opacification from a corneal leukoma was observed in the excision site with mild fibrotic tissue. Two months post‐keratectomy, no further changes were detected in the cornea, and the patient was managed only with topical lubricant.ConclusionsTo our knowledge, this is the first report of idiopathic corneal lipidosis in a cat and may be considered as a differential diagnosis of corneal disease in felines.
Retrospective investigation of perioperative risk factors for immediate postoperative corneal erosions in dogs undergoing phacoemulsification
Authors: Chen Tiffany Mei , Lasarev Michael R. , Eaton Joshua Seth 
Published: November 2022

AbstractObjectiveTo characterize the incidence, contributing risk factors, and healing characteristics of immediate postoperative corneal erosions (IPCE) in dogs undergoing routine phacoemulsification.Animals StudiedMedical records of 313 canine eyes (159 dogs) undergoing routine phacoemulsification surgery.ProceduresMedical records of dogs undergoing planned cataract surgery at UW Veterinary Care were retrospectively reviewed. Patient‐related variables including age, skull conformation, diabetes status, and cataract stage at the time of surgery were recorded. Intraoperative variables per eye were also recorded including surgical technique, surgeon expertise level, average phacoemulsification power, and phacoemulsification time. Diagnosis of IPCE ≤ 24 h after completion of surgery and time to IPCE healing were recorded where follow‐up data were available.ResultsImmediate postoperative corneal erosions were observed in 48/313 (15.3%) operated eyes. The presence of diabetes mellitus or brachycephalic skull conformation, preoperative Schirmer tear test (STT) value, surgical technique and surgeon experience level, phacoemulsification time, and absolute phacoemulsification time were not statistically significant risk factors for IPCE. Average phacoemulsification power was associated with IPCE (RR1.52,p = .001). Time to IPCE healing was similar in diabetic and non‐diabetic dogs (median [IQR] 8 [6–11] days and 8 [6–15] days, respectively). Diabetes mellitus, brachycephaly, and phacoemulsification parameters were not associated with IPCE healing at 7 or 14 days postoperatively.ConclusionsHigher average phacoemulsification power may be associated with the development of IPCE in canine eyes. The presence of diabetes mellitus or brachycephaly are not risk factors for the development of IPCE, nor are they factors that influence IPCE healing.
Variation in the imperfective in Bahamian English
Authors: Laube Alexander 
Published: November 2022

AbstractThe current study investigates variation in the marking of two aspectual subcategories of the imperfective in Bahamian English. First, it looks into variable auxiliarybeuse in progressive and future constructions, that is, the variation between full, contracted and zerobein non‐past V‐ingenvironments and related contexts. Second, the paper examines variable application of preverbaldoes/is/’sin non‐past habitual environments. The two variables were selected to represent the ‘informal’ and ‘anti‐formal’ group respectively, that is, one feature that classifies as a reduction of English structure and one direct transfer from the creole (Allsopp, 1996, pp. lvi–lvii). Thus, in addition to examining the linguistic constraints, the study will take a close look at the stylistic factors conditioning the variation, placing a special focus on the distribution of the non‐standardized variants over various registers as well as how speakers employ them to create linguistic styles.
A Real-Time Artificial Intelligence Process Manager for Engineering Design
Authors: Gyory Joshua T. , Soria Zurita Nicolás F. , Martin Jay D. , Balon Corey M. , McComb Christopher , Kotovsky Kenneth , Cagan Jonathan 
Published: November 2022

Abstract
Managing the design process of teams has been shown to considerably improve problem-solving behaviors and resulting final outcomes. Automating this activity presents significant opportunities in delivering interventions that dynamically adapt to the state of a team to reap the most impact. In this work, an Artificial Intelligence (AI) agent is created to manage the design process of engineering teams in real time, tracking features of teams’ actions and communications during a complex design and path-planning task with multidisciplinary team members. Teams are also placed under the guidance of human process managers for comparison. Regarding outcomes, teams perform equally as well under both types of management, with trends towards even superior performance from the AI-managed teams. The managers’ intervention strategies and team perceptions of those strategies are also explored, illuminating some intriguing similarities. Both the AI and human process managers focus largely on communication-based interventions, though differences start to emerge in the distribution of interventions across team roles. Furthermore, team members perceive the interventions from the both the AI and human manager as equally relevant and helpful and believe the AI agent to be just as sensitive to the needs of the team. Thus, the overall results show that the AI manager agent introduced in this work matches the capabilities of humans, showing potential in automating the management of a complex design process.
Application of Transfer Learning in Metalworking Fluid Distinction
Authors: Wei Xiao , Jochmann Fabian , Demmerling Anna Lena , Söffker Dirk 
Published: November 2022

Abstract
This contribution introduces a Transfer Learning (TL) approach for the diagnostic task to distinguish the ingredients of a typical production machine element: metalworking fluid (MWF). Metalworking fluids are oil or water-based fluids used during machining and shaping of metals to provide lubrication and cooling. Additives in MWF affect their performance in different metalworking processes. Performance evaluation of MWF is of relevance for product development as well as for condition monitoring. In this contribution, for the first time, Transfer Learning is adapted for MWF distinction. Firstly, two experiments are designed to get Acoustic Emission (AE) signals from thread forming processes using variant MWF. In the first experiment, eleven kinds of water-based MWF are applied and AE signals are saved into dataset A, while in the second experiment, other five MWF are used in the process of thread forming and AE signals are stored in dataset B. A convolutional neural network (CNN)-based data mining approach including data segmentation, Short-Time Fourier Transform (STFT) and data normalization algorithms is developed from dataset A. Performance of the proposed approach in dataset A is good. Afterwards, parameters in data processing and hyperparameters in CNN of the approach are transferred into dataset B. Results of dataset B show that Transfer Learning allows suitable MWF distinction.
Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric
Authors: Dehaghani M. Rahmani , Tang Yifan , Wang G. Gary 
Published: November 2022

Abstract
Metal additive manufacturing (AM) has recently attracted attention due to its potential for batch/mass production of metal parts. This process, however, currently suffers from problems including low productivity, inconsistency in the properties of the printed parts, and defects such as lack of fusion, keyholing, and un-melted powders. Finite Element (FE) modeling cannot accurately model the metal AM process and has a high computational cost. Empirical models based on experiments are time-consuming and expensive. This paper improves a previously developed framework that takes advantages of both empirical and FE models. The validity and accuracy of the metamodel developed in the previous framework depend on the initial assumption of parameter uncertainties. This causes a problem when the assumed uncertainties are far from the actual values. The proposed framework introduces an iterative calibration process to overcome this limitation. In addition, the u_pooling metric used as the calibration metric in the previous framework is found not as good as the second-order statistical moment-based metric (SMM), after comparing several calibration metrics. The proposed framework is then applied to a four-variable porosity modeling problem. The obtained model is more accurate than using other approaches with only 10 available experimental data points for calibration and validation.
SWAGE: A 3D Arbitrary-Order Element Mesh Library to Support Diverse Numerical Methods
Authors: Morgan Nathaniel R. , Moore Jacob , Kiviaho Jan , Diaz Adrian 
Published: November 2022

Abstract
This paper presents the details on a new open-source swift arbitrary Lagrangian Eulerian (SWAGE) software library that supports diverse numerical methods on unstructured, arbitrarily moving curvilinear meshes — from stationary (Eulerian) to moving at the fluid velocity (Lagrangian), and anywhere in between (arbitrary Eulerian Lagrangian). Each element of the unstructured mesh in the physical coordinate system is represented by a spatial map from a single reference element. Foundational numerical methods are provided in the reference element that are key to solving diverse types of physical equations and calculating geometric quantities. A large set of index spaces in the physical coordinate space and the reference coordinate space are provided in SWAGE and the companion reference element type library respectively. Mesh connectivity data structures are provided to access various index spaces or a neighboring index on the physical mesh or within the reference element. The SWAGE mesh library supports continuous finite element, finite volume, and discontinuous Galerkin (DG) methods using arbitrary-order 3D curvilinear elements. The SWAGE library fills an existing technology gap by supporting arbitrary-order 3D Lagrangian DG hydrodynamic methods, along with many other numerical methods and solvers. The Lagrangian DG hydrodynamic method requires unique index spaces and very intricate mesh connectivity structures not currently available in other open-source libraries. The details of the SWAGE library are presented in this paper along with examples and results.