bluuebunny/crossref_metadata_2025_split huggingface dataset:
On authenticated skyline query processing over road networks
Authors: Zhu Xiaoyu , Wu Jie , Chang Wei , Zakirul Alam Bhuiyan Md , Raymond Choo Kim‐Kwang , Qi Fang , Liu Qin , Wang Guojun 
Published: March 2020

SummaryIn recent times, many location‐based service providers (LBSPs) choose to outsource data query services to third‐party cloud service providers (CSPs). This allows users to easily search for points of interests (POIs), such as restaurants and parking lots in their vicinity, using their mobile devices and in‐vehicle infotainment units. Skyline query is one potential technique to be deployed for road networks. However, the untrusted CSPs may forge or omit query results, intentionally or not. Therefore, in this article, we posit that by observing the unique properties of skyline query results in road networks, we can bind each POI with four nearby POIs with special properties using signature chain technology. Our proposed approach not only provides users with skyline query result authentication ability over the road network, but also have low communication overhead. Specifically, the overhead analysis and experimental results show that our proposed approach decreases the communication overhead.
Evolutionary gaming approach for decision making of Tier‐3 Internet service provider networks migration to SoDIP6 networks
Authors: Dawadi Babu R. , Rawat Danda B. , Joshi Shashidhar R. , Manzoni Pietro 
Published: March 2020

SummaryWith the increasing number of Internet of Things (IoT) devices, current networking world is suffering in terms of management and operations with lack of IPv4 addresses leading to issues like network address translation (NAT) proliferation, security and quality of services. Software‐defined networking (SDN) and Internet Protocol version 6 (IPv6) are the new networking paradigms evolved to address related issues of legacy IPv4 networking. To adapt with global competitive environment and avoid all existing issues in legacy networking system, network service providers have to migrate their networks into IPv6 and SDN‐enabled networks. But immediate transformations of existing network are not viable due to several factors like higher cost of migration, lack of technical human resources, lack of standards and protocols during transitions, and many more. In this paper, we present the migration analysis for proper decision making of network transition in terms of customer demand, traffic engineering, and organizational strength with operation expenditure for network migration using evolutionary gaming approach. Joint migration to SDN‐enabled IPv6 network from game theoretic perspective is modeled and is validated using numerical results obtained from simulations. Our empirical analysis shows the evolutionary process of network migration while different internal and external factors in the organization affect the overall migration. Evolutionary game in migration planning is supportive in decision making for service providers to develop suitable strategy for their network migration. The proposed approach for migration decision making is mostly applicable to fairly sustained service providers who lack economics, regulation/policy, and resources strengths.
Low doses of recombinant human erythropoietin does not affect C‐terminal FGF23 in healthy men
Authors: Bejder Jacob , Robach Paul , Lundby Anne‐Kristine , Cornu Catherine , Sallet Pierre , Cairo Gaetano , Lundby Carsten 
Published: March 2020

AbstractRecombinant human erythropoietin (rhEpo) can improve human performance, but misuse remains difficult to detect. C‐terminal fibroblast growth factor 23 (cFGF23) was recently demonstrated to increase following injection of a single high dose rhEpo, but the effect of more frequent low doses is unknown. Using a randomized double‐blind placebo‐controlled design, we investigated whether 2 weeks of subcutaneous injections three times a week of 50 IU/kg Eprex (low‐dose) or 20 IU/kg Eprex (micro‐dose) increase cFGF23 levels compared with saline (placebo) injections in 24 healthy males. Venous blood was sampled at day −3, 0, 1, 3, 11, 14, 18, and 25 of the treatment and analyzed for cFGF23 and erythropoietin concentration ([EPO]). The level of cFGF23 was similar at days −3, 0, 1, 3, 11, 14, 18, and 25 with the low‐dose (23 ± 4, 26 ± 5, 23 ± 7, 27 ± 6, 25 ± 8, 24 ± 10, 22 ± 5, and 24 ± 7 RU/mL, respectively), micro‐dose (23 ± 6, 25 ± 5, 23 ± 8, 28 ± 9, 27 ± 7, 25 ± 9, 25 ± 5, and 23 ± 6 RU/mL, respectively) and placebo (23 ± 6, 24 ± 6, 26 ± 7, 26 ± 6, 31 ± 6, 31 ± 7, 24 ± 4, and 27 ± 8 RU/mL, respectively) treatment. The correlation coefficient between plasma [EPO] and plasma cFGF23 levels was R2 = 0.01 and insignificant. The results demonstrate that cFGF23 is not sensitive to low doses of subcutaneous rhEpo injections in healthy males.
Heart failure treatment up‐titration and outcome and age: an analysis of BIOSTAT‐CHF
Authors: Mordi Ify R. , Ouwerkerk Wouter , Anker Stefan D. , Cleland John G. , Dickstein Kenneth , Metra Marco , Ng Leong L. , Samani Nilesh J. , van Veldhuisen Dirk J. , Zannad Faiez , Voors Adriaan A. , Lang Chim C. 
Published: March 2020

AimsSeveral studies have shown that older patients with heart failure with reduced ejection fraction (HFrEF) are undertreated. The aim of this study was to evaluate the association of up‐titration of angiotensin‐converting enzyme inhibitors (ACEI), angiotensin receptor blockers (ARB) and beta‐blockers on outcome across the age spectrum in HFrEF patients.Methods and resultsWe analysed HFrEF patients on sub‐optimal doses of ACEI/ARB and/or beta‐blockers from the BIOSTAT‐CHF study stratified by age. Patients underwent a 3‐month up‐titration period. We used inverse probability weighting to adjust for the likelihood of successful up‐titration to determine the association of achieved dose with mortality and/or heart failure hospitalisation, testing for an interaction with age. Over a median follow‐up of 21 months in 1720 HFrEF patients (76.5% male, mean age 67 years), the primary outcome occurred in 558 patients. Increased percentage of target dose of ACEI/ARB and beta‐blocker achieved at 3 months were both significantly associated with reduced incidence of the primary outcome, [ACEI‐ARB: hazard ratio (HR) per 12.5% increase in dose: 0.92, 95% confidence interval (CI) 0.91–0.94, P < 0.001; beta‐blocker: HR 0.98, 95% CI 0.95–1.00, P = 0.046], with a significant interaction with age seen for beta‐blockers but not ACEI/ARB (P = 0.034 and P = 0.22, respectively).ConclusionsAchieving higher doses of ACEI/ARB was associated with improved outcome regardless of age. However, achieving higher doses of beta‐blockers was only associated with improved outcome in younger, but not in older patients.
Financial distress prediction model: The effects of corporate governance indicators
Authors: Chen Chih‐Chun , Chen Chun‐Da , Lien Donald 
Published: March 2020

AbstractThis paper constructs a financial distress prediction model that includes not only traditional financial variables, but also several important corporate governance variables. Using data from Taiwan, the empirical results show that the best in‐sample and out‐of‐sample prediction models should combine the financial variables with the corporate governance variables. Moreover, the prediction accuracy is higher for the models using dynamic distress threshold values than those with tradition threshold values. Most financial ratios, except for the debt ratio, are higher in financially sound companies than in financial distressed ones. With regard to the corporate governance variables, we find that the CEO/Chairman duality may not result in the outbreak of financial distress, but higher equity pledge ratios of managers (shareholding ratios by board members and insiders) positively (negatively) correlate with financial distress.
Empirical assessment of changing sample‐characteristics in task‐fMRI over two decades: An example from gustatory and food studies
Authors: Yeung Andy W. K. , Wong Natalie S. M. , Eickhoff Simon B. 
Published: March 2020

AbstractOver the past two decades, functional neuroimaging has not only grown into a large field of research, but also substantially evolved. Here we provide a quantitative assessment of these presumed in sample composition and data analysis, using fMRI studies on food/taste research published between 1998 and 2019 as an exemplary case in which the scientific objectives themselves have remained largely stable. A systematic search for papers written in English was done using multiple databases and identified 426 original articles that were subsequently analyzed. The median sample size significantly increased from 11.5 to 35.5 while the ratio of male to female subjects remained stable. There were, however, more papers involving female subjects only, rather than male subjects only, since 2003. There was a decline in uncorrected results and statistical correction by false‐discovery rate. Reflecting a trend toward more conservative thresholding, the number of foci reported per paper did not change significantly and sample size (power) did not correlate with the number of reported foci. The median journal impact factor and the normalized number of citations (citations per year) of the papers, in turn, showed a significantly decreasing trend. Number of citations negatively correlated to sample size, publication year but positively correlated to journal impact factor, and was also influenced by statistical correction method. There was a decreasing trend in studies recruiting both left‐handed and right‐handed subjects. In summary, the present paper quantifies several large‐scale trends that have often been anecdotally discussed and reveals the changing nature of neuroimaging studies that may be considered when pursuing meta‐analytic approaches.
High Protein Intake Is Associated With Histological Disease Activity in Patients With NAFLD
Authors: Lang Sonja , Martin Anna , Farowski Fedja , Wisplinghoff Hilmar , Vehreschild Maria J.G.T. , Liu Jinyuan , Krawczyk Marcin , Nowag Angela , Kretzschmar Anne , Herweg Jens , Schnabl Bernd , Tu Xin M. , Lammert Frank , Goeser Tobias , Tacke Frank , Heinzer Kathrin , Kasper Philipp , Steffen Hans‐Michael , Demir Münevver 
Published: March 2020

Overconsumption of carbohydrates and lipids are well known to cause nonalcoholic fatty liver disease (NAFLD), while the role of nutritional protein intake is less clear. In Western diet, meat and other animal products are the main protein source, with varying concentrations of specific amino acids. Whether the amount or composition of protein intake is associated with a higher risk for disease severity has not yet been examined. In this study, we investigated associations of dietary components with histological disease activity by analyzing detailed 14‐day food records in a cohort of 61 patients with biopsy‐proven NAFLD. Furthermore, we used 16S ribosomal RNA gene sequencing to detect associations with different abundances of the gut microbiota with dietary patterns. Patients with definite nonalcoholic steatohepatitis (NAFLD activity score of 5‐8 on liver biopsy) had a significantly higher daily relative intake of protein compared with patients with a NAFLD activity score of 0‐4 (18.0% vs. 15.8% of daily protein‐based calories, P = 0.018). After adjustment for several potentially confounding factors, a higher protein intake (≥17.3% of daily protein‐based calories) remained associated with definite nonalcoholic steatohepatitis, with an odds ratio of 5.09 (95% confidence interval 1.22‐21.25, P = 0.026). This association was driven primarily by serine, glycine, arginine, proline, phenylalanine, and methionine. A higher protein intake correlated with a lower Bacteroides abundance and an altered abundance of several other bacterial taxa. Conclusion: A high protein intake was independently associated with more active and severe histological disease activity in patients with NAFLD. Further studies are needed to investigate the potential harmful role of dietary amino acids on NAFLD, with special attention to meat as their major source.
Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification
Authors: Leena Bojaraj , Jayanthi Annamalai 
Published: March 2020

AbstractThis article exploits a new brain tumor classification model that includes five steps like (a) denoising, (b) skull stripping, (c) segmentation, (d) feature extraction and (e) classification. Initially, the image is subjected under the denoising process, where the noise removal procedure is carried out by employing the entropy‐based trilateral filter. Then, the denoised image is applied to the skull stripping process via Otsu thresholding and morphology segmentation. Subsequently, the next step is the segmentation, where the image is segmented by deploying the adaptive CLFAHE (contrast limited fuzzy adaptive histogram equalization) technique. Once the segmentation is completed, gray‐level co‐occurrence matrix (GLCM) based features are extracted. Finally, the extracted features are processed under hybrid classification model to attain enhanced classification rate. Here, hybrid classification hybrids two classifiers namely deep belief network (DBN) and Bayesian regularization classifier. The vital contribution of this research work exists in the optimal selection of hidden neurons in the DBN. Along with this, the membership function (bounding limits) of fuzzy logic is optimally selected. For this, a new lion exploration based whale optimization (LE‐WO) algorithm is proposed in this article that hybrids the concept of (lion algorithm) LA and (whale optimization algorithm) WOA. Finally, the performance of proposed LE‐WO is compared over the other methods in terms of accuracy, sensitivity, specificity, precision, negative predictive value (NPV), F1_score and Matthews correlation coefficient (MCC), False positive rate (FPR), False negative rate (FNR) and false discovery rate (FDR) and proves the betterments of proposed work. From the outcomes, the accuracy measure of proposed model at 60th population size is 1.98%, 1.81%, 1.32%, 3.46% and 0.75% better than PSO, FF, GWO, WOA and LA, respectively. Similarly, in 80th population size, the performance of the implemented model is 4.47%, 5.04%, 3.96%, 6.29% and 1.37% superior to PSO, FF, GWO, WOA and LA, respectively. Thus, the betterment of the adopted scheme is validated in an effective manner.
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks
Authors: Xu Shengzhou , Adeli Ehsan , Cheng Jie‐Zhi , Xiang Lei , Li Yang , Lee Seong‐Whan , Shen Dinggang 
Published: March 2020

AbstractBreast cancer is one of the leading causes of death among women worldwide. Mammographic mass segmentation is an important task in mammogram analysis. This process, however, poses a prominent challenge considering that masses can be obscured in images and appear with irregular shapes and low image contrast. In this study, a multichannel, multiscale fully convolutional network is proposed and evaluated for mass segmentation in mammograms. To reduce the impact of surrounding unrelated structures, preprocessed images with a salient mass appearance are obtained as the second input channel of the network. Furthermore, to jointly conduct fine boundary delineation and global mass localization, we incorporate more crucial context information by learning multiscale features from different resolution levels. The performance of our segmentation approach is compared with that of several traditional and deep‐learning‐based methods on the popular DDSM and INbreast datasets. The evaluation indices consist of the Dice similarity coefficient, area overlap measure, area undersegmentation measure, area oversegmentation measure, and Hausdorff distance. The mean values of the Dice similarity coefficient and Hausdorff distance of our proposed segmentation method are 0.915 ± 0.031 and 6.257 ± 3.380, respectively, on DDSM and 0.918 ± 0.038 and 2.572 ± 0.956, respectively, on INbreast, which are superior to those of the existing methods. The experimental results verify that our proposed multichannel, multiscale fully convolutional network can reliably segment masses in mammograms.
Breast cancer‐derived exosomes: Tumor progression and therapeutic agents
Authors: Jabbari Nasrollah , Akbariazar Elinaz , Feqhhi Maryam , Rahbarghazi Reza , Rezaie Jafar 
Published: March 2020

AbstractTumor cells secrete extracellular vesicles (EVs) for intercellular communication. EVs by transporting different proteins, nucleic acids, and lipids contribute to affect target cell function and fate. ‎EVs which originate directly from multivesicular bodies so‐called exosomes have dramatically fascinated the attention of researchers owing to their ‎pivotal roles in the tumorigenesis. Breast cancer, arising from milk‐producing cells, is the most identified cancer among women and has become the leading cause of cancer‐related death in women globally. Although different therapies are applied to eliminate breast tumor cells, however, the efficient therapy and survival rate of patients remain challenges. Growing evidence ‎shows exosomes from breast cancer cells contribute to proliferation, metastasis, angiogenesis, chemoresistance, and also radioresistance and, thus carcinogenesis. Additionally, these exosomes may serve as a cancer treatment tool because they are a good candidate for cancer diagnosis (as biomarker) and therapy (as drug‐carrier). Despite recent development in the biology of tumor‐derived exosomes, the detailed mechanism of tumorigenesis, and exosome‐based cancer‐therapy remain still indefinable. Here, we discuss the key function of breast cancer‐derived exosomes in tumorgenesis and shed light on the possible clinical application of these exosomes in breast cancer treatment.
Distinguishing gastroesophageal reflux disease and eosinophilic esophagitis in adults: The role of esophageal mucosal immunoglobulin G4
Authors: Wong Stephanie , Smith Georgia , Ruszkiewicz Andrew , Nguyen Nam Q 
Published: March 2020

AbstractBackground and AimEosinophilic esophagitis (EoE) and gastroesophageal reflux disease (GERD) can be difficult to distinguish as many of their clinical and histological features overlap. Preliminary data suggest a potential association between EoE and immunoglobulin G4 (IgG4) but not GERD. This study aimed to examine the role of esophageal mucosal IgG4 staining when differentiating EoE from GERD.MethodsEsophageal biopsy specimens from patients with proven EoE and GERD were evaluated, and immunohistochemical staining for IgG4 was performed by an experienced gastrointestinal pathologist blinded to the clinical and endoscopic data. The results on IgG4 staining were then correlated with clinical, endoscopic, and histological features.ResultsSixty patients were included in the study, with 30 EoE (38.8 ± 12.8 years, 23 M:7 F) and 30 GERD (50.7 ± 14.3 years, 14 M:16 F) patients. The prevalence of a positive intercellular IgG4 stain was significantly higher in the EoE patients than those with GERD (23/29 vs 2/30; P < 0.0001). Positive IgG4 stain had the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of 77%, 93%, 92%, and 80% for predicting the diagnosis of EoE, respectively. In both EoE and GERD patients, correlation was found between positive IgG4 staining and food bolus obstruction, dysphagia to solids, reflux, fixed rings, Barrett's esophagus, hiatus hernia, and esophagitis. In EoE patients, positive IgG4 staining was not correlated with the type of symptoms, endoscopic findings, histological findings, proton pump inhibitor therapy, or history of allergy/atopy.ConclusionGiven the high specificity and PPV of positive IgG4 staining in esophageal biopsies for EoE, this can be a useful marker to distinguish the disease from GERD.
Severe phenotype of ATP6AP1‐CDG in two siblings with a novel mutation leading to a differential tissue‐specific ATP6AP1 protein pattern, cellular oxidative stress and hepatic copper accumulation
Authors: Ondruskova Nina , Honzik Tomas , Vondrackova Alzbeta , Stranecky Viktor , Tesarova Marketa , Zeman Jiri , Hansikova Hana 
Published: March 2020

AbstractCongenital disorders of glycosylation (CDG) represent a wide range of >140 inherited metabolic diseases, continually expanding not only with regards to the number of newly identified causative genes, but also the heterogeneity of the clinical and molecular presentations within each subtype. The deficiency of ATP6AP1, an accessory subunit of the vacuolar H+‐ATPase, is a recently characterised N‐ and O‐glycosylation defect manifesting with immunodeficiency, hepatopathy and cognitive impairment. At the cellular level, the latest studies demonstrate a complex disturbance of metabolomics involving peroxisomal function and lipid homeostasis in the patients. Our study delineates a case of two severely affected siblings with a new hemizygous variant c.221T>C (p.L74P) in ATP6AP1 gene, who both died due to liver failure before reaching 1 year of age. We bring novel pathobiochemical observations including the finding of increased reactive oxygen species in the cultured fibroblasts from the older boy, a striking copper accumulation in his liver, as well as describe the impact of the mutation on the protein in different organs, showing a tissue‐specific pattern of ATP6AP1 level and its posttranslational modification.
Liver ultrasound: A key procedure in the surgeon's toolbox
Authors: Hagopian Ellen J. 
Published: March 2020

AbstractIntraoperative liver ultrasound (US) is an imperative adjunctive procedure during any liver surgical procedure. Intraoperative US can be used to confirm preoperative findings, to identify new findings, and to guide the conduct of the procedure. A major barrier to incorporation of US into the surgeon's toolbox is training and education. A standardized training program for surgical fellows has been developed based on the mastery learning framework.
Injustice is Served: Injustice Mediates the Effects of Interpersonal Physical Trauma on Posttraumatic Stress Symptoms and Depression Following Traumatic Injury
Authors: Boals Adriel , Trost Zina , Warren Ann Marie , McShan Evan E. 
Published: March 2020

AbstractPrevious research has consistently found that traumas of an interpersonal nature are associated with elevated levels of posttraumatic stress symptoms (PTSS). In the current study, we examined whether feelings of injustice related to sustained physical trauma mediate the association between the interpersonal nature of a traumatic injury and two outcomes: PTSS and depressive symptoms. The sample consisted of 176 patients admitted to a Level 1 trauma center for traumatic injuries. Participants completed measures of PTSS, depressive symptoms, and injury‐related injustice perception at baseline and again at 3‐ and 6‐month postinjury follow‐ups. The results revealed that, compared to noninterpersonal injuries, interpersonal injuries were related to significantly higher levels of perceived injustice, PTSS, and depressive symptoms at all three assessment points, except for PTSS at baseline, ds = 0.47–1.23. These associations remained significant after accounting for injury severity. It is important to note that higher levels of perceived injustice 3‐month postinjury follow‐up mediated the association between the interpersonal nature of the trauma and higher levels of PTSS and depressive symptoms at 6 months postinjury. Our results suggest injustice may be an important factor that helps explain why interpersonal traumas are associated with poorer mental health outcomes than noninterpersonal traumas. Additionally, the current study provides some of the first prospective analyses of injustice perception and trauma outcomes.