bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assisted migration across fixed seed zones detects adaptation lags in two major North American tree species
Authors: Etterson Julie R. , Cornett Meredith W. , White Mark A. , Kavajecz Laura C. 
Published: February 2020

AbstractBoreal forests are experiencing dramatic climate change, having warmed 1.0°–1.9°C over the last century. Yet forest regeneration practices are often still dictated by a fixed seed zone framework, in which seeds are both harvested from and planted into predefined areas. Our goal was to determine whether seedlings sourced from southern seed zones in MinnesotaUSAare already better adapted to northerly seed zones because of climate change. Bur oak (Quercus macrocarpa) and northern red oak (Quercus rubra) seedlings from two seed zones (i.e., tree ecotypes) were planted into 16 sites in two northern seed zones and measured for 3 yr. Our hypotheses were threefold: (1) tree species with more southern geographic distributions would thrive in northern forests where climate has already warmed substantially, (2) southern ecotypes of these species would have higher survival and growth than the northern ecotype in northern environments, and (3) natural selection would favor seedlings that expressed phenotypic and phenological traits characteristic of trees sourced from the more southern seed zone. For both species, survival was high (>93%), and southern ecotypes expressed traits consistent with our climate adaptation hypotheses. Ecotypic differences were especially evident for red oak; the southern ecotype had had higher survival, lower specific leaf area (SLA), faster height and diameter growth, and extended leaf phenology relative to the northern ecotype. Bur oak results were weaker, but the southern ecotype also had earlier budburst and lowerSLAthan the northern ecotype. Models based on the fixed seed zones failed to explain seedling performance as well as those with continuous predictors (e.g., climate and geographical position), suggesting that plant adaptations within current seed zone delineations do align with changing climate conditions. Adding support for this conclusion, natural selection favored traits expressed by the more southern tree ecotypes. Collectively, these results suggest that state seed sourcing guidelines should be reexamined to permit plantings across seed zones, a form of assisted migration. More extensive experiments (i.e., provenance trails) are necessary to make species‐specific seed transfer guidelines that account for climate trends while also considering the precise geographic origin of seed sources.
Nightly selection of resting sites and group behavior reveal antipredator strategies in giraffe
Authors: Burger Anna Lena , Fennessy Julian , Fennessy Stephanie , Dierkes Paul W. 
Published: February 2020

AbstractThis study presents the first findings on nocturnal behavior patterns of wild Angolan giraffe. We characterized their nocturnal behavior and analyzed the influence of ecological factors such as group size, season, and habitat use. Giraffe were observed using night vision systems and thermal imaging cameras on Okapuka Ranch, Namibia. A total of 77 giraffe were observed during 24 nights over two distinct periods—July–August 2016 (dry season) and February–March 2017 (wet season). Photoperiod had a marked influence on their activity and moving behavior. At dusk, giraffe reduced the time spent moving and increasingly lay down and slept at the onset of darkness. Body postures that likely correspond to rapid eye movement (REM) sleep posture (RSP) were observed 15.8 ± 18.3 min after giraffe sat down. Season had a significant effect with longer RSP phases during the dry season (dry: 155.2 ± 191.1 s, n = 79; wet: 85.8 ± 94.9 s, n = 73). Further analyses of the influence of social behavior patterns did not show an effect of group size on RSP lengths. When a group of giraffe spent time at a specific resting site, several individuals were alert (vigilant) while other group members sat down or took up RSP. Simultaneous RSP events within a group were rarely observed. Resting sites were characterized by single trees or sparse bushes on open areas allowing for good visibility in a relatively sheltered location.
Invasive haemodynamics in de novo everolimus vs. calcineurin inhibitor heart transplant recipients
Authors: Bergh Niklas , Gude Einar , Bartfay Sven‐Erik , K Andreassen Arne , Arora Satish , Dahlberg Pia , Dellgren Göran , Gullestad Lars , Gustafsson Finn , Karason Kristjan , Rådegran Göran , Bollano Entela , Andersson Bert 
Published: February 2020

AbstractAimsInvasive haemodynamic profiles at rest and during exercise after heart transplantation (HTx) have never been described in a randomized trial where de novo everolimus (EVR)‐based therapy with early calcineurin inhibitor (CNI) withdrawal has been compared with conventional CNI treatment. We report central invasive haemodynamic parameters at rest and exercise during a 3 year follow‐up after HTx in a sub‐study of the SCandiavian Heart transplant Everolimus De novo stUdy with earLy calcineurin inhibitor avoidancE trial. We hypothesized that the nephroprotective properties, the less development of cardiac allograft vasculopathy (CAV), and the antifibrotic properties of EVR, in comparison with CNI‐based immunosuppression, would demonstrate favourable invasive haemodynamic profiles in patients at rest and during exercise.Methods and resultsNinety of 115 HTx recipients randomized to EVR or CNI treatment performed right heart catheterization at rest and 68 performed right heart catheterization at exercise up to 3 years after HTx. Haemodynamic profiles were compared between EVR and CNI treatment groups. Resting haemodynamics improved in both groups from pre‐HTx to the first follow‐up at 7–11 weeks post‐HTx and thereafter remained unchanged up to 3 years of follow‐up. During follow‐up, cardiac reserve during exercise increased with higher levels of maximum heart rate (118 to 148 b.p.m., P < 0.001), mean arterial pressure (103 to 128 mmHg, P < 0.001), and cardiac output (10.3 to 12.2 l/min, P < 0.001). No significant differences in haemodynamic parameters were observed between the EVR and CNI groups at rest or exercise. Isolated post‐capillary pulmonary hypertension (mean pulmonary arterial pressure > 20 mmHg, pulmonary arterial wedge pressure ≥ 15 mmHg, and pulmonary vascular resistance <3) were measured in 11% of the patients at 7–11 weeks, 5% at 12 months, and 6% at 36 months after HTx. The EVR group had significantly better kidney function (76 mL/min/1 vs. 60 mL/min/1, P < 0.001) and reduced CAV (P < 0.01) but an increased rate of early biopsy‐proven treated rejections (21.2% vs 5.7%, P < 0.01) compared with the CNI group at any time point. The differences in renal function, CAV, or early biopsy‐proven treated acute rejections were not associated with altered haemodynamics.ConclusionsDe novo EVR treatment with early CNI withdrawal compared with conventional CNI therapy did not result in differences in haemodynamics at rest or during exercise up to 3 years after HTx despite significant differences in renal function, reduced CAV, and number of early biopsy‐proven treated rejections.
A Self‐tuning Robust Control System for nonlinear real‐time hybrid simulation
Authors: Maghareh Amin , Dyke Shirley J. , Silva Christian E. 
Published: February 2020

SummaryIn a real‐time hybrid simulation, a transfer system is used to enforce the interface interaction between computational and physical substructures. A model‐based, multilayer nonlinear control system is developed to accommodate extensive performance variations and uncertainties in a physical substructure. The aim of this work is to extend the application of real‐time hybrid simulation to investigating failure, nonlinearity, and nonstationary behavior. This Self‐tuning Robust Control System (SRCSys) consists of two layers: robustness and adaptation. The robustness layer synthesizes a nonlinear control law such that the closed‐loop dynamics perform as intended under a broad range of parametric and nonparametric uncertainties. Sliding mode control is employed as the control scheme in this layer. Then, the adaptation layer reduces uncertainties at run time through slow and controlled learning of the control plant. The tracking performance of the SRCSys is evaluated in two experiments that have highly uncertain physical specimens.
Residual learning based CNN for breast cancer histopathological image classification
Authors: Gour Mahesh , Jain Sweta , Sunil Kumar T. 
Published: February 2020

AbstractBiopsy is one of the most commonly used modality to identify breast cancer in women, where tissue is removed and studied by the pathologist under the microscope to look for abnormalities in tissue. This technique can be time‐consuming, error‐prone, and provides variable results depending on the expertise level of the pathologist. An automated and efficient approach not only aids in the diagnosis of breast cancer but also reduces human effort. In this paper, we develop an automated approach for the diagnosis of breast cancer tumors using histopathological images. In the proposed approach, we design a residual learning‐based 152‐layered convolutional neural network, named as ResHist for breast cancer histopathological image classification. ResHist model learns rich and discriminative features from the histopathological images and classifies histopathological images into benign and malignant classes. In addition, to enhance the performance of the developed model, we design a data augmentation technique, which is based on stain normalization, image patches generation, and affine transformation. The performance of the proposed approach is evaluated on publicly available BreaKHis dataset. The proposed ResHist model achieves an accuracy of 84.34% and an F1‐score of 90.49% for the classification of histopathological images. Also, this approach achieves an accuracy of 92.52% and F1‐score of 93.45% when data augmentation is employed. The proposed approach outperforms the existing methodologies in the classification of benign and malignant histopathological images. Furthermore, our experimental results demonstrate the superiority of our approach over the pre‐trained networks, namely AlexNet, VGG16, VGG19, GoogleNet, Inception‐v3, ResNet50, and ResNet152 for the classification of histopathological images.
Prevalence and predictors of expulsion in home‐based child care settings
Authors: Hooper Alison , Schweiker Claire 
Published: February 2020

ABSTRACTThis study explored the prevalence of expulsion in home‐based child care (HBCC) settings using a nationally representative sample of HBCC providers from the National Survey of Early Care and Education. In addition to prevalence, enrollment and provider characteristics that predicted expulsion were examined. Although there is increasing awareness of the prevalence of early childhood suspension and expulsion in early care and education settings and the negative effects it has on children's development, few studies have included or focused on HBCC, where many children receive care. This study highlights that many home‐based providers, especially listed providers, report that they expelled at least one child within the last year. Significant predictors of expulsion emerged, including enrollment characteristics such as caring for children with disabilities, enrolling more children, and caring for children unrelated to the provider. Provider characteristics, including years of experience, provider education, and provider age, also predicted provider report of expulsion. These results provide insight as to possible strategies that may be effective in reducing expulsion rates in this caregiving context.
Exploring corporate governance research in accounting journals through latent semantic and topic analyses
Authors: Zengul Ferhat D. , Byrd James D. , Oner Nurettin , Edmonds Mark , Savage Arline 
Published: February 2020

SummaryThe literature on corporate governance (CG) has been expanding at an unprecedented rate since major corporate scandals surfaced, such as Enron, WorldCom, and HealthSouth. Corresponding with accounting's important role in CG, accounting scholars increasingly have investigated CG in recent years, so the body of literature is growing. Although previous attempts have been made to summarize extant literature on CG via reviews, none of these attempts has utilized recent developments in text analyses and natural language processing. This study uses latent semantic and topic analyses to address this research gap by analysing abstracts from 1,399 articles in all accounting journals that the Australian Business Deans Council (ABDC) has rated A and A*. The ABDC journal list is widely recognized as a journal‐quality indicator across many universities worldwide. The analyses revealed 10 distinct research topics on CG in the ABDC's top accounting journals. The results presented include the five most representative articles for each topic, as distinguished by topic scores. This study carries important practice and policy implications, as it reveals major research streams and exhibits how researchers respond to various CG problems.
Blockchain for tracking serial numbers in money exchanges
Authors: Mohamed Kareem , Aziz Amr , Mohamed Belal , Abdel‐Hakeem Khaled , Mostafa Mostafa , Atia Ayman 
Published: February 2020

SummaryMoney exchange is one of the most common day‐to‐day activities performed by humans in the daily market. This paper presents an approach to money tracking through a blockchain. The proposed approach consists of three main components: serial number localization, serial number recognition, and a blockchain to store all transactions and ownership transfers. The approach was tested with a total of 110 banknotes of different currency types and achieved an average accuracy of 91.17%. We conducted a user study in real‐time with 21 users, and the mean accuracy across all users was 86.42%. Each user gave us feedback on the proposed approach, and most of them welcomed the idea.
DHPAC, a novel microtubule depolymerizing agent, suppresses angiogenesis and vasculogenic mimicry formation of human non‐small cell lung cancer
Authors: Gong Fu‐Lian , Wang Lei , Yu Lu‐Gang , Dang Yi‐Fan , Jiang Xiao‐Ning , Zhao Lin , Guo Xiu‐Li 
Published: February 2020

AbstractAngiogenesis and vasculogenic mimicry (VM) are the main causes of tumor metastasis and recurrence. In this study, we investigated the antiangiogenesis and anti‐VM formation of a novel microtubule depolymerizing agent, DHPAC, as well as combretastatin A4 (CA4, a combretastatin derivate) in non‐small‐cell lung cancer (NSCLC), subsequently elucidating the underlying mechanisms. In human umbilical vein endothelial cells (HUVECs), DHPAC could enter cells and inhibit proliferation, migration, and angiogenesis in the presence and absence of conditioned medium from H1299 cells. Interestingly, the inhibition was enhanced under the stimulation of the conditioned medium. Under hypoxia or normoxia, DHPAC suppressed signal transducer and activator of transcription 3 phosphorylation and reduced vascular endothelial growth factor (VEGF) expression and secretion from HUVECs, thus impeding the activation of the downstream signal transduction pathway of VEGF/VEGFR2. However, JNK inhibitors reversed the inhibitory effect of DHPAC on the angiogenesis, suggesting that DHPAC regulated angiogenesis through activating JNK. In H1299 cells, DHPAC could inhibit proliferation, migration, invasion, and the formation of VM. In addition, DHPAC inhibited the phosphorylation of FAK and AKT and decreased the expressions of VEGF, matrix metalloproteinase 2 (MMP2), MMP9 and Laminin 5, suggesting that DHPAC inhibited VM formation via the FAK/AKT signaling pathway. In addition, CA4 showed a similar effect as DHPAC against angiogenesis and VM formation. These new findings support the use of microtubule destabilizing agents as a promising strategy for cancer therapy.
A missense variant remote from the active site impairs stability of human phosphoglucomutase 1
Authors: Stiers Kyle M. , Hansen Reed P. , Daghlas Bana A. , Mason Kelly N. , Zhu Jian‐She , Jakeman David L. , Beamer Lesa J. 
Published: February 2020

AbstractMissense variants of human phosphoglucomutase 1 (PGM1) cause the inherited metabolic disease known as PGM1 deficiency. This condition is categorised as both a glycogen storage disease and a congenital disorder of glycosylation. Approximately 20 missense variants of PGM1 are linked to PGM1 deficiency, and biochemical studies have suggested that they fall into two general categories: those affecting the active site and catalytic efficiency, and those that appear to impair protein folding and/or stability. In this study, we characterise a novel variant of Arg422, a residue distal from the active site of PGM1 and the site of a previously identified disease‐related variant (Arg422Trp). In prior studies, the R422W variant was found to produce insoluble protein in a recombinant expression system, precluding further in vitro characterisation. Here we investigate an alternative variant of this residue, Arg422Gln, which is amenable to experimental characterisation presumably due to its more conservative physicochemical substitution. Biochemical, crystallographic, and computational studies of R422Q establish that this variant causes only minor changes in catalytic efficiency and 3D structure, but is nonetheless dramatically reduced in stability. Unexpectedly, binding of a substrate analog is found to further destabilise the protein, in contrast to its stabilising effect on wild‐type PGM1 and several other missense variants. This work establishes Arg422 as a lynchpin residue for the stability of PGM1 and supports the impairment of protein stability as a pathomechanism for variants that cause PGM1 deficiency.SynopsisBiochemical and structural studies of a missense variant far from the active site of human PGM1 identify a residue with a key role in enzyme stability.
Erdheim-Chester disease: An in vivo human model of Mϕ activation at the crossroad between chronic inflammation and cancer
Authors: Cavalli Giulio , Dagna Lorenzo , Biavasco Riccardo , Villa Antonello , Doglioni Claudio , Ferrero Elisabetta , Ferrarini Marina 
Published: February 2020

Abstract
Erdheim-Chester disease (ECD) is a rare histiocytosis characterized by infiltration of multiple tissues by CD68+ foamy Mϕs (or ‘histiocytes’). Clinical manifestations arise from mass-forming lesions or from tissue and systemic inflammation. ECD histiocytes harbor oncogenic mutations along the MAPK-kinase signaling pathway (BRAFV600E in more than half of the patients), and secrete abundant pro-inflammatory cytokines and chemokines. Based on these features, ECD is considered an inflammatory myeloid neoplasm, and is accordingly managed with targeted kinase inhibitors or immunosuppressive and cytokine-blocking agents. Evidence is emerging that maladaptive metabolic changes, particularly up-regulated glycolysis, represent an additional, mutation-driven feature of ECD histiocytes, which sustains deregulated and protracted pro-inflammatory activation and cytokine production. Besides translational relevance to the management of ECD patients and to the development of new therapeutic approaches, recognition of ECD as a natural human model of chronic, maladaptive Mϕ activation instructs the understanding of Mϕ dysfunction in other chronic inflammatory conditions.
Earwax: A potentially useful medium to identify inborn errors of metabolism?
Authors: Krywawych Stefan , Cleary Maureen , McSweeney Mel , Heales Simon 
Published: February 2020

AbstractEarwax was investigated as a source to identify patients' different inborn errors of metabolism (IEMs). Acylcarnitines, amino acids, and guanidino metabolites were measured from 28 treated patients with 11 different metabolic disorders including 3 organic acidaemias, 2 fatty acid oxidation defects, 6 amino acid disorders, and 1 peroxisomal abnormality. On the basis of the ratio of different acylcarnitine species relative to free carnitine, isovaleric acidaemia, methylmalonic acidaemia, and long‐chain hydroxyacylCoA dehydrogenase deficiency could be discriminated from the other disorders. For amino acids, neither creatinine nor alternative amino acid proved suitable reference standards against which results could be expressed. However, argininosuccinate and alloisoleucine were present in significantly elevated concentrations in two patients with argininosuccinate lyase deficiency and two patients with branched‐chain ketoacid dehydrogenase deficiency. This study has raised the potential of earwax for investigation of IEMs and may also have role in postmortem investigations. In view of its limited invasiveness, earwax also may have a role as a material to monitor treatment responses and compliance in patients with IEMs.
A common genetic variant rs2821557 in KCNA3 is linked to the severity of multiple sclerosis
Authors: Lioudyno Victoria , Abdurasulova Irina , Negoreeva Irina , Stoliarov Igor , Kudriavtsev Igor , Serebryakova Maria , Klimenko Victor , Lioudyno Maria 
Published: February 2020

AbstractThe rate of symptom accumulation distinguishes between slowly and rapidly progressing forms of multiple sclerosis (MS). Given that a patient's genetics can affect the rate of disease progression, identification of genetic variants associated with rapid disease progression should provide valuable information for timely prognosis and development of optimal treatment plans. We hypothesized that the polymorphism rs2821557 in the human KCNA3 gene encoding a voltage‐gated potassium channel Kv1.3 might be one of these genetic variants, given the role of Kv1.3 in neuroinflammation, as well as the location and gain‐of‐function effect of this polymorphism. To test this hypothesis we performed an analytic study exploring the relationships between rs2821557 polymorphism and disease progression in a cohort of MS patients. The rs2821557 genotype and the rate of disease progression based on Multiple Sclerosis Severity Score (MSSS) were determined for 101 patients (68 females and 33 males). Peripheral blood CD4+ lymphocyte subpopulations (Tnaive, TCM, TEM) and the expression of chemokine receptors (CXCR5, CXCR3, CCR6, CCR4) were estimated by flow cytometry. The comparisons between groups by genotype (TT, TC, CC) and allelic approach analysis (T vs. C) revealed a significantly higher incidence of the rapid disease course (MSSS ≥ 7.5) among minor C allele carriers (CC and TC) compared to patients with the TT genotype. Furthermore, C allele carriers had higher counts of CXCR3+ TEM cells than homozygous T allele carriers. In conclusion, accelerated MS progression in C allele carriers is likely linked to enhanced Kv1.3‐mediated accumulation of pathogenic CXCR3+ TEM cells and exacerbated neuroinflammation.