bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relevance of morphological features for hepatocellular adenoma classification in pathology practice
Authors: Agostini Carla Henriques , Ribeiro Osmar Damasceno , Fernandes Arlete , Caroli-Bottino Adriana , Pannain Vera Lucia 
Published: March 2020

Abstract
Background
Gene mutations correlated with histological and immunohistochemical phenotypes of hepatocellular adenoma were recently identified. Based on these findings, four adenoma subtypes were distinguished. We classify hepatocellular adenoma (HCA) into subtypes based on histologic and immunohistochemical findings and verify the contribution of histological features in pathology practice.

Methods
Thirty hepatocellular adenomas were classified in subtypes. Sinusoidal dilatation, ductular reaction, pseudoportal tracts, pseudoglands, steatosis, inflammatory infiltrate and cellular atypia were analyzed, as well as liver fatty acid binding protein, β catenin, serum amyloid A, glutamine synthetase, and C-reactive protein antibodies.

Results
Histologically, eleven adenomas were classified as HNF1A inactivated (HHCA), five were β-catenin-activated (bHCA) and fourteen were inflammatory adenoma (IHCA). Steatosis was found in all HHCA and was predominantly severe. Sinusoidal dilatation and inflammatory infiltrate were present in all IHCA. Ductular reaction, pseudoportal tracts and cellular atypia were observed in 71.4, 85.7 and 42.8%, respectively. Pseudoglands were present in 60% and cellular atypia in 80% of bHCA. According to immunohistochemistry, 11 were HHCA; 1 was bHCA; 17 were IHCA, among which 5 were β-catenin activated IHCA; and 1 was unclassified UHCA (UHCA). Superior concordance between the histological and immunohistochemical classifications was found for HHCA (К = 0.854) and IHCA (К = 0.657).

Conclusion
Approximately 90% of adenomas may be diagnosed by subgroup based only on morphological features. When aberrant β catenin nuclear staining is not found, glutamine synthetase positivity is useful for diagnosis, although supplementary molecular analysis may be necessary.
Flow of non-Newtonian magneto-fluid with gold and alumina nanoparticles through a non-Darcian porous medium
Authors: Elgazery N. S. 
Published: March 2020

AbstractThis paper is centered on a numerical solution of non-Newtonian Casson magneto-nanofluid flow underlying an axisymmetric surface through a non-Darcian porous medium with heat generation/absorption. Using similarity transformations, the system of PDEs with the corresponding boundary conditions are reduced to system of nonlinear ODEs. The Chebyshev pseudospectral (CPS) method is used to get a numerical solution for the formulated differential system. Comparisons of the present numerical results with previously published results are made, and fine agreements for some the considered values of parameters were noted. Two cases of nanofluid are considered. The first case is Newtonian nanofluid, water with suspended gold (Au) or alumina (Al2O3) nanoparticles, and representative results are obtained for β → ∞ and Pr = 6.785 (the Prandtl number of water). The second case is non-Newtonian bio-nanofluid, blood with suspended gold (Au) or alumina (Al2O3) nanoparticles, and representative results are obtained for β = 0.1 and Pr = 25 (the Prandtl number of blood). The variation of different physical parameters on non-dimensional velocity and temperature fields as well as the skin friction coefficient and the Nusselt number are discussed. It is demonstrated that the implication of a nanoparticle into bio-fluid can modify the stream design. Also, the nanoparticles with high thermal conductivity (gold) have better enhancement on heat transfer compared to alumina, i.e., the effectiveness of adding gold to the water and blood is higher than adding alumina. One of the most important applications of nanotechnology in the field of medicine is the use of nanoparticles (gold molecules) in chemotherapy to get rid of cancer cells.
Retraction Note: On projection-invariant submodules of QTAG-modules
Authors: Sikander Fahad , Mehdi Alveera , Naji Sabah A. R. K. 
Published: March 2020

The Editor-in-Chief has retracted this article [1] because the results have been previously published by Danchev and Goldsmith [2]. This article is therefore redundant.
Fahad Sikander does not agree to this retraction. Alveera Mehdi and Sabah A.R.K. Naji have not responded to correspondence from the Publisher about this retraction.
Testing exponentiality against renewal new better than used in Laplace transform order: applications in reliability
Authors: Mahmoud M. A. W. , Diab L. S. , Radi D. M. 
Published: March 2020

AbstractIn this paper, a new class of life distribution is proposed, named renewal new better than used in Laplace transform order (RNBUL). The test statistic for testing exponentiality versus (RNBUL) based on U-statistic is proposed. Pitman’s asymptotic efficiencies of the test and Pitman’s asymptotic relative efficiencies (PARE) are calculated. The percentiles of this test statistic are tabulated, and the powers of this test are estimated for some famous alternatives distributions in reliability such as Weibull, linear failure rate (LFR), and Gamma distributions. The problem regarding the right-censored data is also handled. Finally, some applications to elucidate the usefulness of the proposed test in reliability analysis are discussed.
Intuitionistic fuzzy relations compatible with the group Zn
Authors: Emam E. G. 
Published: March 2020

AbstractIn this paper, we define the compatibility of finite intuitionistic fuzzy relations with the group Zn and prove some of their fundamental properties. We show that some compositions of Zn-compatible intuitionistic fuzzy relations are also Zn-compatible intuitionistic fuzzy relation. Also, from any given finite intuitionistic fuzzy relation ρ, we can construct two intuitionistic fuzzy relations denoted by ρL and ρU which are compatible with Zn. We have also provided some examples to clarify the notions and results.
On a discussion of Volterra–Fredholm integral equation with discontinuous kernel
Authors: Abdou M. A. , Soliman A. A. , Abdel–Aty M. A. 
Published: March 2020

AbstractThe purpose of this paper is to establish the general solution of a Volterra–Fredholm integral equation with discontinuous kernel in a Banach space. Banach’s fixed point theorem is used to prove the existence and uniqueness of the solution. By using separation of variables method, the problem is reduced to Volterra integral equations of the second kind with continuous kernel. Normality and continuity of the integral operator are also discussed.
Treatment Patterns for Chronic Comorbid Conditions in Patients With Cancer Using a Large-Scale Observational Data Network
Authors: Chen Ruijun , Ryan Patrick , Natarajan Karthik , Falconer Thomas , Crew Katherine D. , Reich Christian G. , Vashisht Rohit , Randhawa Gurvaneet , Shah Nigam H. , Hripcsak George 
Published: March 2020

PURPOSE Patients with cancer are predisposed to developing chronic, comorbid conditions that affect prognosis, quality of life, and mortality. While treatment guidelines and care variations for these comorbidities have been described for the general noncancer population, less is known about real-world treatment patterns in patients with cancer. We sought to characterize the prevalence and distribution of initial treatment patterns across a large-scale data network for depression, hypertension, and type II diabetes mellitus (T2DM) among patients with cancer. METHODS We used the Observational Health Data Sciences and Informatics network, an international collaborative implementing the Observational Medical Outcomes Partnership Common Data Model to standardize more than 2 billion patient records. For this study, we used 8 databases across 3 countries—the United States, France, and Germany—with 295,529,655 patient records. We identified patients with cancer using SNOMED (Systematized Nomenclature of Medicine) codes validated via manual review. We then characterized the treatment patterns of these patients initiating treatment of depression, hypertension, or T2DM with persistent treatment and at least 365 days of observation. RESULTS Across databases, wide variations exist in treatment patterns for depression (n = 1,145,510), hypertension (n = 3,178,944), and T2DM (n = 886,766). When limited to 6-node (6-drug) sequences, we identified 61,052 unique sequences for depression, 346,067 sequences for hypertension, and 40,629 sequences for T2DM. These variations persisted across sites, databases, countries, and conditions, with the exception of metformin (73.8%) being the most common initial T2DM treatment. The most common initial medications were sertraline (17.5%) and escitalopram (17.5%) for depression and hydrochlorothiazide (20.5%) and lisinopril (19.6%) for hypertension. CONCLUSION We identified wide variations in the treatment of common comorbidities in patients with cancer, similar to the general population, and demonstrate the feasibility of conducting research on patients with cancer across a large-scale observational data network using a common data model.
Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records
Authors: Zong Nansu , Wen Andrew , Stone Daniel J. , Sharma Deepak K. , Wang Chen , Yu Yue , Liu Hongfang , Shi Qian , Jiang Guoqian 
Published: March 2020

PURPOSE The Fast Healthcare Interoperability Resources (FHIR) is emerging as a next-generation standards framework developed by HL7 for exchanging electronic health care data. The modeling capability of FHIR in standardizing cancer data has been gaining increasing attention by the cancer research informatics community. However, few studies have been conducted to examine the capability of FHIR in electronic data capture (EDC) applications for effective cancer clinical trials. The objective of this study was to design, develop, and evaluate an FHIR-based method that enables the automation of the case report forms (CRFs) population for cancer clinical trials using real-world electronic health records (EHRs). MATERIALS AND METHODS We developed an FHIR-based computational pipeline of EDC with a case study for modeling colorectal cancer trials. We first leveraged an existing FHIR-based cancer profile to represent EHR data of patients with colorectal cancer, and then we used the FHIR Questionnaire and QuestionnaireResponse resources to represent the CRFs and their data population. To test the accuracy of and overall quality of the computational pipeline, we used synoptic reports of 287 Mayo Clinic patients with colorectal cancer from 2013 to 2019 with standard measures of precision, recall, and F1 score. RESULTS Using the computational pipeline, a total of 1,037 synoptic reports were successfully converted as the instances of the FHIR-based cancer profile. The average accuracy for converting all data elements (excluding tumor perforation) of the cancer profile was 0.99, using 200 randomly selected records. The average F1 score for populating nine questions of the CRFs in a real-world colorectal cancer trial was 0.95, using 100 randomly selected records. CONCLUSION We demonstrated that it is feasible to populate CRFs with EHR data in an automated manner with satisfactory performance. The outcome of the study provides helpful insight into future directions in implementing FHIR-based EDC applications for modern cancer clinical trials.
Accuracy of Laboratory Tests for the Diagnosis of Cushing Syndrome
Authors: Galm Brandon P , Qiao Nidan , Klibanski Anne , Biller Beverly M K , Tritos Nicholas A 
Published: March 2020

AbstractContextThe diagnosis of Cushing syndrome (CS) can be challenging. It remains to be determined which diagnostic tests are the most accurate.ObjectiveTo summarize the accuracy of diagnostic tests for CS using contemporary meta-analytic techniques (hierarchical models).Data SourcesPubMed, Embase, Scopus, Web of Science, and the Cochrane Database of Systemic Reviews (inception until August 3, 2018).Study SelectionStudies performed in adults that determined the accuracy of one or more diagnostic tests: overnight 1-mg dexamethasone suppression test (DST), 2-day low-dose DST (2d DST), 24-hour urinary free cortisol (UFC), late-night salivary cortisol (LNSC), midnight serum cortisol (MSC), and the dexamethasone-suppressed CRH (dex-CRH) and desmopressin (dex-DDAVP) tests.Data ExtractionTwo authors independently extracted data and performed methodological assessments.Data SynthesisOne hundred thirty-nine studies (14 140 participants) were included in the analysis. The respective sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio (95% confidence interval [CI]) estimates include the following: DST 98.6% (96.9%-99.4%), 90.6% (86.4%-93.6%), 10.5 (7.2-15.3), and 0.016 (0.007-0.035); 2d DST 95.3% (91.3%-97.5%), 92.8% (85.7%-96.5%), 13.2 (6.47-27.1), and 0.051 (0.027-0.095); UFC 94.0% (91.6%-95.7%), 93.0% (89.0%-95.5%), 13.3 (8.47-21.0), and 0.065 (0.046-0.092); LNSC 95.8% (93.%-97.2%), 93.4% (90.7%-95.4%), 14.6 (10.3-20.7), and 0.045 (0.030-0.066); MSC 96.1% (93.5%-97.6%), 93.2% (88.1%-96.3%), 14.2 (7.96-25.2), and 0.042 (0.026-0.069); and dex-CRH 98.6% (90.4%-99.8%), 85.9% (67.6%-94.7%), 7.0 (2.80-17.6), and 0.016 (0.002-0.118). A single study evaluated dex-DDAVP. Meta-regression and a novel network meta-analytic approach suggest that DST is the most sensitive while UFC is the least sensitive.ConclusionsAll of the included diagnostic tests for CS are highly sensitive and specific. It appears that the DST is the most sensitive while the UFC is less sensitive. The specificity of all first-line tests appears comparable.
Estimating Water Balance and Identifying Crops for Sustainable Use of Water Resources in the Bundelkhand Region of India
Authors: Chand Prem , Jain Rajni , Chand Subhash , Kishore Prabhat , Malangmeih Lungkudailiu , Rao Sulakshana 
Published: March 2020

HighlightsA crop suitability index was constructed for the Bundelkhand region of India.The cropping pattern in the region has shifted from cereals to oilseeds and pulses.Nearly 33% more water is needed to meet the total irrigation water requirement of the region.Pearl millet, sesame, and soybean were found to be the most suitable crops for sustainable use of water resources. ABSTRACT.The Bundelkhand region of India is characterized by acute shortages of water due to recurrent failures of the monsoon. This study estimated the water availability, water requirement, and water deficit in the Bundelkhand region using geographic information system (GIS) data. The study identified suitable crops that can be promoted for sustaining the water resources in the region. Total water availability is estimated to be 17.48 billion cubic meters (BCM), of which 91.3% is available for irrigation. The irrigation water deficit is estimated to be 5.31 BCM, which is 1/4 of the crop water requirement. Farmers in the region give high priority to irrigation of water-guzzling cereal crops instead of pulses and oilseed crops, which have lower water requirements. A crop suitability index revealed that pearl millet, sesame, and soybean are the most suitable crops for sustainable use of water resources in the region. An optimum cropping plan to allocate existing land and water resources, coupled with efficient modern technology such as direct-seeded rice, micro-irrigation, etc., can be the best solution to sustain the natural resources and the income of farmers in the study region. Keywords: Bundelkhand, Crop suitability index, Geographical information system, Water.
Soil Structure and Texture Effects on the Precision of Soil Water Content Measurements with a Capacitance- Based Electromagnetic Sensor
Authors: Singh Jasreman , Heeren Derek M. , Rudnick Daran R. , Woldt Wayne E. , Bai Geng , Ge Yufeng , Luck Joe D. 
Published: March 2020

HighlightsCapacitance-based electromagnetic soil moisture sensors were tested in disturbed and undisturbed soils.The uncertainty in estimation of soil water depth was lower using the undisturbed soil sample calibrations.The uncertainty in estimation of soil water depletion was lower than the uncertainty in volumetric water content.Undisturbed calibration of water depletion quantifies water demand with better precision and avoids over-watering.Abstract. The physical properties of soil, such as structure and texture, can affect the performance of an electromagnetic sensor in measuring soil water content. Historically, calibrations have been performed on repacked samples in the laboratory and on soils in the field, but little research has been done on laboratory calibrations with intact (undisturbed) soil cores. In this study, three replications each of disturbed and undisturbed soil samples were collected from two soil texture classes (Yutan silty clay loam and Fillmore silt loam) at a field site in eastern Nebraska to investigate the effects of soil structure and texture on the precision of a METER Group GS-1 capacitance-based sensor calibration. In addition, GS-1 sensors were installed in the field near the soil collection sites at three depths (0.15, 0.46, and 0.76 m). The soil moisture sensor had higher precision in the undisturbed laboratory setup, as the undisturbed calibration had a better correlation [slope closer to one, R2undisturbed (0.89) &gt; R2disturbed (0.73)] than the disturbed calibrations for the Yutan and Fillmore texture classes, and the root mean square difference using the laboratory calibration (RMSDL) was higher for pooled disturbed samples (0.053 m3 m-3) in comparison to pooled undisturbed samples (0.023 m3 m-3). The uncertainty in determination of volumetric water content (?v) was higher using the factory calibration (RMSDF) in comparison to the laboratory calibration (RMSDL) for the different soil structures and texture classes. In general, the uncertainty in estimation of soil water depth was greater than the uncertainty in estimation of soil water depletion by the sensors installed in the field, and the uncertainties in estimation of depth and depletion were lower using the calibration developed from the undisturbed soil samples. The undisturbed calibration of soil water depletion would determine water demand with better precision and potentially avoid over-watering, offering relief from water shortages. Further investigation of sensor calibration techniques is required to enhance the applicability of soil moisture sensors for efficient irrigation management. Keywords: Calibration, Capacitance, Depletion, Irrigation, Precision, Sensor, Soil water content, Structure, Uncertainty.
An agential-narrative approach on art semiosis
Authors: Rodríguez Gómez Sergio 
Published: March 2020

Abstract
In this article, a semiotic approach is proposed to explain how human agents use and give meaning to art in complex contexts. Inspired by the psycho-historical approach on art appreciation, which attempts to embrace psychological and cognitive aspects of art sense-making, as well as the art-historical context dependence of artworks, an extended theory is suggested: an agent's art use and interpretation can be described using three general categories of meaning grounding: phylogenetic recurrence, ontogenetic recurrence and collective recurrence. These categories explain how a certain meaning of a sign is possible and justifiable, supported by human agents' capabilities and purposes. This article also proposes that it is possible to narrate, using such categories of meaning grounding, how different agents enact art, that is, give meaning and act upon art in different circumstances. Finally, I offer some examples about how the model can be used in real art contexts. The objective of this narrative-enactive approach, even though it offers a limited and edited focus, is to offer an orderly and comprehensible method to explain the dynamic nature of art meaning and how biologic, individual and collective grounding and purposes intertwine.
La telefonía móvil celular en España: políticas de gobierno y de empresas. El caso de Indelec, 1984-2003
Authors: Calvo Ángel 
Published: March 2020

Este artículo aborda la forja y resultados de una alianza entre la operadora monopolista del servicio telefónico, el capital multinacional y una administración autonómica resuelta a recuperar tejido industrial gracias a la introducción de una tecnología avanzada de las telecomunicaciones en un territorio (País Vasco) castigado por la depresión durante y tras la reconversión industrial de los primeros años de la década de 1980. Pretende dilucidar a través de un estudio de caso si se dieron elementos diferenciales respecto a la estrategia seguida por las multinacionales en otras ocasiones. La metodología utilizada consiste en el trazado del marco contextual de los hechos centrales y en el relato de la concepción, nacimiento y trayectoria de la empresa señalada. El trabajo sigue la huella de estudios sectoriales de carácter agregado, publicados hace un decenio, a los que les añade la perspectiva de la historia empresarial. En un segundo eje, adopta la perspectiva comparada para contrastar diversas situaciones y circunstancias estudiadas. Afloran asimismo otros aspectos fundamentales, como el engarce de la actividad reguladora y de las políticas industriales en sus diferentes niveles de elaboración y ejecución.
Lack of smoothing for bounded solutions of a semilinear parabolic equation
Authors: Fila Marek , Lankeit Johannes 
Published: March 2020

Abstract
We study a semilinear parabolic equation that possesses global bounded weak solutions whose gradient has a singularity in the interior of the domain for all t > 0. The singularity of these solutions is of the same type as the singularity of a stationary solution to which they converge as t → ∞.
Health Economics Tools and Precision Medicine: Opportunities and Challenges
Authors: Veenstra David L. , Mandelblatt Jeanne , Neumann Peter , Basu Anirban , Peterson Josh F. , Ramsey Scott D. 
Published: March 2020

Abstract
Precision medicine – individualizing care for patients and addressing variations in treatment response – is likely to be important in improving the nation’s health in a cost-effective manner. Despite this promise, widespread use of precision medicine, specifically genomic markers, in clinical care has been limited in practice to date. Lack of evidence, clear evidence thresholds, and reimbursement have been cited as major barriers. Health economics frameworks and tools can elucidate the effects of legal, regulatory, and reimbursement policies on the use of precision medicine while guiding research investments to enhance the appropriate use of precision medicine. Despite the capacity of economics to enhance the clinical and human impact of precision medicine, application of health economics to precision medicine has been limited – in part because precision medicine is a relatively new field – but also because precision medicine is complex, both in terms of its applications and implications throughout medicine and the healthcare system. The goals of this review are several-fold: (1) provide an overview of precision medicine and key policy challenges for the field; (2) explain the potential utility of economics methods in addressing these challenges; (3) describe recent research activities; and (4) summarize opportunities for cross-disciplinary research.