bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healthcare utilization and economic burden of difficult-to-treat rheumatoid arthritis: a cost-of-illness study
Authors: Roodenrijs Nadia M T , Welsing Paco M J , van der Goes Marlies C , Tekstra Janneke , Lafeber Floris P J G , Jacobs Johannes W G , van Laar Jacob M 
Published: January 2021

Abstract

Objectives
To determine the impact of difficult-to-treat rheumatoid arthritis (D2T RA) on (costs related to) healthcare utilization, other resource use and work productivity.

Methods
Data regarding healthcare utilization, other resource use and work productivity of 52 D2T (according to the EULAR definition) and 100 non-D2T RA patients were collected via a questionnaire and an electronic patient record review during a study visit. Annual costs were calculated and compared between groups. Multivariable linear regression analysis was performed to assess whether having D2T RA was associated with higher costs.

Results
Mean (95% CI) annual total costs were €37 605 (€27 689 – €50 378) for D2T and €19 217 (€15 647 – €22 945) for non-D2T RA patients (P&lt;0.001). D2T RA patients visited their rheumatologist more frequently, were more often admitted to day-care facilities, underwent more laboratory tests and used more drugs (specifically targeted synthetic DMARDs), compared with non-D2T RA patients (P&lt;0.01). In D2T RA patients, the main contributors to total costs were informal help of family and friends (28%), drugs (26%) and loss of work productivity (16%). After adjustment for physical functioning (HAQ), having D2T RA was no longer statistically significantly associated with higher total costs. HAQ was the only independent determinant of higher costs in multivariable analysis.

Conclusions
The economic burden of D2T RA is significantly higher than that of non-D2T RA, indicated by higher healthcare utilization and higher annual total costs. Functional disability is a key determinant of higher costs in RA.
Investigating the effects of bark extract and volatile oil of Pinus eldarica against cisplatin-induced genotoxicity on HUVECs cell line
Authors: Sharifan Amin , Etebari Mahmoud , Zolfaghari Behzad , Aliomrani Mehdi 
Published: January 2021

Abstract
Cisplatin is used for treating multiple types of cancers. Alongside its therapeutic effects, there are side effects, including cytotoxicity and genotoxicity for healthy cells, which are mainly related to radical oxygen species (ROS) production by the drug. These side effects could troublesome the treatment process. Previous studies have suggested that members of Pinaceae family are rich sources of antioxidant components. This article investigates the antioxidant activity (AA) of Pinus eldarica (Pinaceae) along with its cyto/genoprotective effects following cisplatin exposure on human umbilical vein endothelial cells (HUVECs) cell line. Pinus eldarica’s hydroalcoholic bark extract (PEHABE) and P. eldarica’s needle volatile oil (PENVO) were prepared using maceration and hydrodistillation methods, respectively. PENVO was analysed via gas chromatograph–mass spectrometry, and the total phenolic content of PEHBAE was measured by folin–ciocalteu reagent. AA of both PEHABE and PENVO were determined using DPPH assay. Moreover, MTT test was used to determine the cytoprotective effects of both agents. Comet and micronucleus (MN) tests were also performed to investigate the genoprotective effect of P. eldarica. Germacrene D (35.72%) was the main component of PENVO. PEHABE showed higher AA compared with PENVO, with the highest AA observed at 25 and 250 μg/ml, respectively. Both PENVO and PEHABE were cytoprotective, with the latter having mitogenic effects on cells at 75, 100, and 200 μg/ml concentrations (P &lt; 0.01 and P &lt; 0.001). Also, both PEHABE and PENVO showed genoprotective effects against cisplatin in comet assay (P &lt; 0.001). As PEHABE’s concentrations were increased, a reduced number of MN formation was observed after cisplatin’s exposure (P &lt; 0.001). In conclusion, PEHABE had higher AA compared with PENVO, and both agents had cyto/genoprotective effects on HUVECs.
The Chromosome-Scale Genome Resource for Two Endophytic Fusarium species, F. culmorum and F. pseudograminearum
Authors: Shan Xiaoliang , Zhu Ying , Redman Regina , Rodriguez Russell J. , Yuan Zhilin 
Published: January 2021

Genus Fusarium (Ascomycota, Hypocreales, Nectriaceae) includes many economically important plant pathogens that cause devastating diseases of a wide range of crops and trees. Interestingly, there is increasing evidence that some Fusarium species also live as endophytes and benefit plant growth and stress tolerance. In this work, we sequence the whole genomes of endophytic F. culmorum and F. pseudograminearum, isolated from a coastal dunegrass (Leymus mollis), using long-read single-molecule real-time sequencing technology. Their genomes are assembled into four chromosomes and a mitochondrial genome with a total assembly size of 40.05 and 42.90 M, respectively. This resource should not only facilitate functional studies designed to better understand what makes the two Fusarium species such successful plant-beneficial fungi but should also reveal their genome evolution and adaptation. [Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
Improved Normothermic Machine Perfusion After Short Oxygenated Hypothermic Machine Perfusion of Ischemically Injured Porcine Kidneys
Authors: Lignell Stina , Lohmann Stine , Rozenberg Kaithlyn M. , Leuvenink Henri G. D. , Pool Merel B. F. , Lewis Kate R. , Moers Cyril , Hunter James P. , Ploeg Rutger J. , Eijken Marco , Møldrup Ulla , Krag Søren , Baan Carla C. , Møller Bjarne Kuno , Keller Anna Krarup , Jespersen Bente 
Published: January 2021

Background.
In an era where global kidney shortage has pushed the field of transplantation towards using more marginal donors, modified kidney preservation techniques are currently being reviewed. Some techniques require further optimization before implementation in full scale transplantation studies. Using a porcine donation after circulatory death kidney model, we investigated whether initial kidney hemodynamics improved during normothermic machine perfusion if this was preceded by a short period of oxygenated hypothermic machine perfusion (oxHMP) rather than static cold storage (SCS).

Methods.
Kidneys subjected to 75 minutes of warm ischemia were randomly assigned to either SCS (n = 4) or SCS + oxHMP (n = 4), with a total cold storage time of 240 minutes. Cold preservation was followed by 120 minutes of normothermic machine perfusion with continuous measurement of hemodynamic parameters and renal function.

Results.
oxHMP preserved kidneys maintained significantly lower renal resistance throughout the normothermic machine perfusion period compared to SCS kidneys (P < 0.001), reaching lowest levels at 60 minutes with means of 0.71 ± 0.35 mm Hg/mL/min/100 g (SCS) and 0.45 ± 0.15 mm Hg/mL/min/100 g (oxHMP). Accordingly, the oxHMP group had a higher mean renal blood flow versus SCS kidneys (P < 0.001). oxHMP kidneys had higher oxygen consumption during normothermic machine perfusion compared to SCS preserved kidneys (P < 0.001). Creatinine clearance remained similar between groups (P = 0.665).

Conclusions.
Preceding oxHMP significantly improved initial normothermic machine perfusion hemodynamics and increased total oxygen consumption. With the long period of warm ischemia, immediate kidney function was not observed, reflected by the findings of low creatinine clearance in both groups.
ORFik: a comprehensive R toolkit for the analysis of translation
Authors: Tjeldnes Håkon , Labun Kornel , Cleuren Yamila Torres , Chyżyńska Katarzyna , Świrski Michał , Valen Eivind 
Published: January 2021

ABSTRACT•BackgroundWith the rapid growth in the use of high-throughput methods for characterizing translation and the continued expansion of multi-omics, there is a need for back-end functions and streamlined tools for processing, analyzing, and characterizing data produced by these assays.•ResultsHere, we introduce ORFik, a user-friendly R/Bioconductor toolbox for studying translation and its regulation. It extends GenomicRanges from the genome to the transcriptome and implements a framework that integrates data from several sources. ORFik streamlines the steps to process, analyze, and visualize the different steps of translation with a particular focus on initiation and elongation. It accepts high-throughput sequencing data from ribosome profiling to quantify ribosome elongation or RCP-seq/TCP-seq to also quantify ribosome scanning. In addition, ORFik can use CAGE data to accurately determine 5’UTRs and RNA-seq for determining translation relative to RNA abundance. ORFik supports and calculates over 30 different translation-related features and metrics from the literature and can annotate translated regions such as proteins or upstream open reading frames. As a use-case, we demonstrate using ORFik to rapidly annotate the dynamics of 5’ UTRs across different tissues, detect their uORFs, and characterize their scanning and translation in the downstream protein-coding regions.•Availabilityhttp://bioconductor.org/packages/ORFik
Canopy spectral reflectance detects oak wilt at the landscape scale using phylogenetic discrimination
Authors: Sapes Gerard , Lapadat Cathleen , Schweiger Anna K. , Juzwik Jennifer , Montgomery Rebecca , Gholizadeh Hamed , Townsend Philip A. , Gamon John A. , Cavender-Bares Jeannine 
Published: January 2021

AbstractThe oak wilt disease caused by the invasive fungal pathogenBretziella fagacearumis one of the greatest threats to oak-dominated forests across the Eastern United States. Accurate detection and monitoring over large areas are necessary for management activities to effectively mitigate and prevent the spread of oak wilt. Canopy spectral reflectance contains both phylogenetic and physiological information across the visible near-infrared (VNIR) and short-wave infrared (SWIR) ranges that can be used to identify diseased red oaks. We develop partial least square discriminant analysis (PLS-DA) models using airborne hyperspectral reflectance to detect diseased canopies and assess the importance of VNIR, SWIR, phylogeny, and physiology for oak wilt detection. We achieve high accuracy through a three-step phylogenetic process in which we first distinguish oaks from other species (90% accuracy), then red oaks from white oaks (Quercus macrocarpa) (93% accuracy), and, lastly, infected from non-infected trees (80% accuracy). Including SWIR wavelengths increased model accuracy by ca. 20% relative to models based on VIS-NIR wavelengths alone; using a phylogenetic approach also increased model accuracy by ca. 20% over a single-step classification. SWIR wavelengths include spectral information important in differentiating red oaks from other species and in distinguishing diseased red oaks from healthy red oaks. We determined the most important wavelengths to identify oak species, red oaks, and diseased red oaks. We also demonstrated that several multispectral indices associated with physiological decline can detect differences between healthy and diseased trees. The wavelengths in these indices also tended to be among the most important wavelengths for disease detection within PLS-DA models, indicating a convergence of the methods. Indices were most significant for detecting oak wilt during late August, especially those associated with canopy photosynthetic activity and water status. Our study suggests that coupling phylogenetics, physiology, and canopy spectral reflectance provides an interdisciplinary and comprehensive approach that enables detection of forest diseases at large scales. These results have potential for direct application by forest managers for detection to initiate actions to mitigate the disease and prevent pathogen spread.
Cholinergic signalling in the forebrain controls microglial phenotype and responses to systemic inflammation
Authors: Nazmi Arshed , Griffin Eadaoin W. , Field Robert H. , Doyle Sean , Hennessy Edel , O’Donnell Martin , Rehill Aisling , McCarthy Anthony , Healy Daire , Doran Michelle M. , Lowry John P. , Cunningham Colm 
Published: January 2021

Abstract(250)Loss of basal forebrain cholinergic projections occurs in Alzheimer’s disease, frontotemporal dementia and in aging. Moreover, nicotinic stimulation is anti-inflammatory in macrophages and microglia but how loss of basal forebrain acetylcholine impacts on microglial phenotype is poorly understood. Here we hypothesized that endogenous ACh maintains homeostatic microglial phenotype and that neurodegeneration-evoked loss of ACh tone, triggers microglial activation. Using the specific immunotoxin, mu-p75NTR-saporin, we performed partial lesions of the basal forebrain cholinergic nuclei, medial septum and ventral diagonal band. We examined microglial phenotype in the hippocampus, the major projection area for these nuclei, using bulk RNA preparations, Flow cytometry-sorted microglial cells, immunohistochemistry and ELISA to examine responses to cholinergic withdrawal and acute responses to subsequent systemic inflammation with LPS. Basal forebrain cholinergic degeneration elicited lasting activation of microglia in the hippocampus, showing suppression ofSall1and persistent elevation ofTrem2, Clec7a, Itgaxand complement genes proportionate toChatloss. These primed microglia showed exaggerated IL-1β responses to systemic LPS challenge. In normal animals LPS evoked acute increases in extracellular choline, a proxy for ACh release, and this response was lost in lesioned animals. Restoration of basal cholinergic signalling via serial treatments with the nicotinic agonist PNU282,987 resulted in reversion to the homeostatic microglial phenotype and prevented exaggerated responses to acute systemic inflammation. The data indicate that neurodegeneration-evoked loss of cholinergic tone, triggers microglial activation via impaired microglial nicotinic signalling and leaves these microglia more vulnerable to secondary inflammatory insults. The data have implications for neuroinflammation during aging and neurodegeneration and for responses to sepsis and systemic inflammation.
Distributed networks for auditory memory differentially contribute to recall precision
Authors: Lim Sung-Joo , Thiel Christiane , Sehm Bernhard , Deserno Lorenz , Lepsien Jöran , Obleser Jonas 
Published: January 2021

AbstractRe-directing attention to objects in working memory can enhance their representational fidelity. However, how this attentional enhancement of memory representations is implemented across distinct, sensory and cognitive-control brain network is unspecified. The present fMRI experiment leverages psychophysical modelling and multivariate auditory- pattern decoding as behavioral and neural proxies of mnemonic fidelity. Listeners performed an auditory syllable pitch-discrimination task and received retro-active cues to selectively attend to a to-be-probed syllable in memory. Accompanied by increased neural activation in fronto-parietal and cingulo-opercular networks, valid retro-cues yielded faster and more perceptually sensitive responses in recalling acoustic detail of memorized syllables. Information about the cued auditory object was decodable from hemodynamic response patterns in superior temporal sulcus (STS), fronto-parietal, and sensorimotor regions. However, among these regions retaining auditory memory objects, neural fidelity in the left STS and its enhancement through attention-to-memory best predicted individuals’ gain in auditory memory recall precision. Our results demonstrate how functionally discrete brain regions differentially contribute to the attentional enhancement of memory representations.
The Mitochondrial Calcium Uniporter of Pulmonary Type 2 Cells Determines Severity of ARDS
Authors: Islam Mohammad Naimul , Gusarova Galina A. , Das Shonit R. , Li Li , Monma Eiji , Anjaneyulu Murari , Owusu-Ansah Edward , Bhattacharya Sunita , Bhattacharya Jahar 
Published: January 2021

SUMMARYAcute lung immunity to inhaled pathogens elicits defensive pneumonitis that may convert to the Acute Respiratory Distress Syndrome (ARDS), causing high mortality. Mechanisms underlying the conversion are not understood, but are of intense interest because of the ARDS-induced mortality in the ongoing Covid-19 pandemic. Here, by optical imaging of live lungs we show that key to the lethality is the functional status of mitochondrial Ca2+buffering across the mitochondrial Ca2+uniporter (MCU) in the lung’s alveolar type 2 cells (AT2), which protect alveolar stability. In mice subjected to ARDS by airway exposure to lipopolysaccharide (LPS), or toPseudomonas aeruginosa, there was marked loss of MCU expression in AT2. The ability of mice to survive ARDS depended on the extent to which the MCU expression recovered, indicating that the viability of Ca2+buffering by AT2 mitochondria critically determines ARDS severity. Mitochondrial transfer to enhance AT2 MCU expression might protect against ARDS.
Co-creating blockchain adoption: theory, practice and impact on usage behavior
Authors: Tran Lobel Trong Thuy , Nguyen Phuong Thanh 
Published: January 2021

PurposeGiven the growing importance of blockchain technology (BT), the authors use the unified theory of acceptance and use of technology (UTAUT), which posits that BT adoption intention depends on the complementarity between UTAUT and blockchain transparency (BTRAN) and examine it in a new setting: the boundary condition of perceived helpfulness.Design/methodology/approachThe authors review the major conceptual literature on both UTAUT and BT to identify their principal common factors. They examine the complementarity between UTAUT and BTRAN and further test the moderating effect of perceived helpfulness. The authors used the PLS technique for data analysis because this technique can test the direct and interaction effects.FindingsThe complementarity between UTAUT and BTRAN strongly affects BT adoption intention. The authors further show that perceived helpfulness moderates the relationship between adoption intention and usage behavior. At high levels of perceived helpfulness, usage behavior increases rapidly with adoption intention.Originality/valueThe results indicate that UTAUT is a valuable theory to identify the determinants of adoption intention, confirming its robustness in blockchain-enabled supply chain management. The combination of UTAUT and BTRAN can contribute a plausible approach to the strategy literature: the complementarity effect might create more benefits than adopting a single practice.
Who should clean the university? The in-house outsourcing decision from a student perspective
Authors: Palm Peter 
Published: January 2021

Purpose
This paper aims to investigate how the students perceive the cleaning of the university, from an in-house and outsourced perspective.

Design/methodology/approach
This research is based on a survey conducted in the different university buildings with a total of 240 students. The survey was then analysed through an ordinal regression.

Findings
The ordinal regression indicates a statistically significant result were student are more satisfied with the cleaning performed by the outsourced service provider.

Research limitations/implications
The research in this paper is limited to one Swedish university. But, the overall strategies for how to organise the cleaning service at the university do address all universities. However, the research is limited and more research has to be performed.

Practical implications
The insight the paper provides regarding how the students perceive the cleaning service at the university gives direct implications to university in relation to how to consider the cleaning service as an important factor.

Originality/value
It provides the first study from a student perspective on the question of cleaning of the university, when previous studies have indicated cleaning as an important function not least to student’s performance and academic results.
Combining financial and ecological sustainability in bank capital regulations
Authors: Cho Hye-jin , Lehner Othmar M. , Nilavongse Rachatar 
Published: January 2021

PurposeWith the macroprudential approach, systemic risk is explained by a general equilibrium (GE) model. However, since on-balance-sheet and off-balance-sheet (OBS) risks are structurally segmented, for example annually or periodically on financial statements, the GE model might need further integration with OBS risks including ecological shocks.Design/methodology/approachThis study develops a theoretical two-period model with consumption, investment and loans, which further includes carbon emissions to distinguish between loans for “green” or “brown” firms to enhance the perspective of ecological sustainability.FindingsThe paper shows how the environmental, social and governance (ESG) factors might be of relevance in the standard bank capital regulatory structure. In dealing with ecological sustainability, a new methodological framework with the green K-index introduces penalties to be paid in the capital structure related to ESG factors. The model is enhanced for screening green or brown firms related to impact investing. The integrated view of financial stability and ecological sustainability further illuminates how a wide cross-sectoral resilience of a green K-index measure for the economy might be achievable.Research limitations/implicationsA stock-flow consistent model with balance-sheet methods raises the question whether all necessary variables and parameters can be computed in practice. Compared to the agent-based model (ABM), this model additionally lacks inputs from agents' behaviour, thus non-rational decisions, which may be relevant in practice. More generally, by adopting a balance-sheet structure, the model shows a coherent framework with relevant variables. The methodology of the GE model with OBS has not been scholarly explored and thus is presented for discussion rather than generalisation. The GE model with OBS provides a new interpretation of systemic risk and interbank relations with a consideration of ecological aspects. Its economic implication contributes to contemporary banking theory as well as to the sustainability discussions in the larger financial sector.Practical implicationsBanks and investors can more carefully measure the ecological risks in their loan portfolios and make better informed decisions leading to a better sustainability of the financial markets.Originality/valueThis study develops a theoretical GE model with off-balance-sheet risks. The model adds green regulation enhancing the capital regulation framework relevant to sustainability. This, in turn, enhances the role of banks in a coherent economic framework for loan decisions towards a much greener finance.
Daniel: psychological development of a master biblical dream interpreter
Authors: Abramovitch Henry 
Published: January 2021

AbstractThis article describes the growth and development of Daniel as a master Biblical dream interpreter. In his clinical use of dreams, he is compared to a contemporary Jungian analyst who faces difficult clinical dilemmas such as interpreting a dream that is forgotten, understanding the difference between a ‘big dream’ and a personal dream, as well as the situation when a dream is interpreted within a dream. Daniel's technique is compared to traditional Jewish dream rituals. Although the Book of Daniel is usually considered as a series of disconnected episodes, the author argues that the sequence of chapters reveals the process of Daniel's individuation as described by Neumann's concept of centroversion.