bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Dual-Grid Hybrid RANS/LES Model for Under-Resolved Near-Wall Regions and its Application to Heated and Separating Flows
Authors: Nguyen Philipp T. L. , Uribe Juan C. , Afgan Imran , Laurence Dominique R. 
Published: October 2019

Abstract
A hybrid RANS/LES model for high Reynolds number wall-bounded flows is presented, in which individual Reynolds-Averaged Navier-Stokes (RANS) and Large Eddy Simulations (LES) are computed in parallel on two fully overlapping grids. The instantaneous, fluctuating subgrid-scale stresses are blended with a statistical eddy viscosity model in regions where the LES grid is too coarse. In the present case, the hybrid model acts as a near-wall correction to the LES, while it retains the fluctuating nature of the flow field. The dual computation enables the LES to be run on isotropic grids with very low wall-normal and wall-parallel resolution, while the auxiliary RANS simulation is conducted on a wall-refined high-aspect ratio grid. Running distinct, progressively corrected simulations allows a clearer separation of the mean and instantaneous flow fields, compliant with the fundamentally dissimilar nature of RANS and LES. Even with the wall-nearest grid point lying far in the logarithmic layer, velocity and temperature predictions of a heated plane channel flow are corrected. For a periodic hill flow, the dual-grid system improves the boundary layer separation and velocity field prediction both for a constant-spaced and a wall-refined LES grid.
Quantitative trait loci identification and genetic diversity analysis of panicle structure and grain shape in rice
Authors: Xu Xin , Zhang Mengchen , Xu Qun , Feng Yue , Yuan Xiaoping , Yu Hanyong , Wang Yiping , Wei Xinghua , Yang Yaolong 
Published: October 2019

Abstract
Panicle structure and grain shape are important components of rice architecture that directly contribute to rice yield and are regulated by quantitative trait loci (QTLs). In this study, a doubled haploid (DH) population derived from a cross between japonica “Maybelle” and indica “Baiyeqiu” was used to determine genetic effects on panicle structure and grain shape. All detected traits exhibited a continuous, transgressive distribution in the DH population. QTL analysis showed that a total of 24 QTLs related to panicle structure and grain shape were detected on chromosomes 1, 2, 3, 4, 5, 6, 7, 9, 10, and 12, and three epistatic interaction QTLs were detected. Some genes related to panicle structure and grain shape were predicted in the major QTLs, and variations existed between the parents in all genes. Only OsIDS1, GS5, and SRS3 had nonsynonymous mutations that led to protein changes. Quantitative real-time PCR analysis showed that the expression levels of GS5 and OsFOR1 significantly differed between the two parents. In addition, genetic diversity analysis showed that the H3-35–H3-37, H6-18–H6-19, and H7-12–H7-14 intervals might be selected in the breeding program.
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat
Authors: Grinberg Nastasiya F. , Orhobor Oghenejokpeme I. , King Ross D. 
Published: October 2019

AbstractIn phenotype prediction the physical characteristics of an organism are predicted from knowledge of its genotype and environment. Such studies, often called genome-wide association studies, are of the highest societal importance, as they are of central importance to medicine, crop-breeding, etc. We investigated three phenotype prediction problems: one simple and clean (yeast), and the other two complex and real-world (rice and wheat). We compared standard machine learning methods; elastic net, ridge regression, lasso regression, random forest, gradient boosting machines (GBM), and support vector machines (SVM), with two state-of-the-art classical statistical genetics methods; genomic BLUP and a two-step sequential method based on linear regression. Additionally, using the clean yeast data, we investigated how performance varied with the complexity of the biological mechanism, the amount of observational noise, the number of examples, the amount of missing data, and the use of different data representations. We found that for almost all the phenotypes considered, standard machine learning methods outperformed the methods from classical statistical genetics. On the yeast problem, the most successful method was GBM, followed by lasso regression, and the two statistical genetics methods; with greater mechanistic complexity GBM was best, while in simpler cases lasso was superior. In the wheat and rice studies the best two methods were SVM and BLUP. The most robust method in the presence of noise, missing data, etc. was random forests. The classical statistical genetics method of genomic BLUP was found to perform well on problems where there was population structure. This suggests that standard machine learning methods need to be refined to include population structure information when this is present. We conclude that the application of machine learning methods to phenotype prediction problems holds great promise, but that determining which methods is likely to perform well on any given problem is elusive and non-trivial.
A new version of the Riccati transfer matrix method for multibody systems consisting of chain and branch bodies
Authors: Rui Xue , Bestle Dieter , Wang Guoping , Zhang Jiangshu , Rui Xiaoting , He Bin 
Published: October 2019

Abstract
Computational speed and stability are two important aspects in the dynamics analysis of large-scale complex multibody systems. In order to improve both in the context of the multibody system transfer matrix method, a new version of the Riccati transfer matrix method is presented. Based on the new version of the general transfer matrix method for multibody system simulation, recursive formulae are developed which not only retain all advantages of the transfer matrix method, but also reduce the truncation error. As a result, the computational speed, accuracy and efficiency are improved. Numerical computation results obtained by the proposed method and an ordinary multibody system formulation show good agreement. The successful computation for a spatial branch system with more than 100000 degrees of freedom validates that the proposed method is also working for huge systems.
Experiences of breast cancer in Arab countries. A thematic synthesis
Authors: Fearon D. , Hughes S. , Brearley S. G. 
Published: October 2019

Abstract

Background
Breast cancer is the most common cancer in women globally. Its negative effects on a woman’s quality of life are related to the individual and socio-cultural factors. This review aimed to identify and synthesise the reported experiences and quality of life of women with breast cancer in Arab countries.

Methods
PubMed, Embase, Web of Science, SCOPUS, PsychInfo, CINAHL, Allied and Complementary Medicine Database, and Index Medicus for the Eastern Mediterranean Region were searched for articles published from start to March 2019 using PRISMA guidelines. These searches were complimented by citation tracking and hand searching of relevant journals. A thematic synthesis was carried out on the ‘findings/results’ sections from the identified papers.

Results
Of 5228 records identified, 19 were included in the review which represented 401 women from 11 Arab countries. All used qualitative methods of data collection to produce rich descriptions of experiences. Thematic synthesis of the extracted data identified three major themes, Perceptions and reactions, Coping or enduring and Changing roles.

Conclusions
This review provides a rich description of the reported quality of life and experiences of women with breast cancer in Arab countries. These are influenced by the women’s and society’s views of cancer, the women’s role in society and family, religious faith and the healthcare context and access to treatment choices and information.
Delving into the Historical Ca ii K Archive from the Kodaikanal Observatory: The Potential of the Most Recent Digitized Series
Authors: Chatzistergos Theodosios , Ermolli Ilaria , Solanki Sami K. , Krivova Natalie A. , Banerjee Dipankar , Jha Bibhuti K. , Chatterjee Subhamoy 
Published: October 2019

Abstract
Full-disc Ca ii K photographic observations of the Sun carry direct information as regards the evolution of solar-plage regions for more than a century and are therefore a unique dataset for solar-activity studies. For a long time Ca ii K observations were barely explored, but recent digitizations of multiple archives have allowed their extensive analysis. However, various studies have reported diverse results partly due to the insufficient quality of the digitized data. Furthermore, inhomogeneities have been identified within the individual archives, which, at least partly, could be due to the digitization. As a result, some of the archives, e.g. that from the Kodaikanal observatory, were re-digitized. The results obtained by different authors who analyzed the data from the new digitization of the Kodaikanal archive differ from each other and from those derived from the old digitization. Since the data were processed and analyzed using different techniques, it is not clear, however, whether the differences are due to the digitization or the processing of the data. To understand the reasons for such discrepancies, we analyze here the data from the two most recent digitizations of this archive. We use the same techniques to consistently process the images from both archives and to derive the plage areas from them. Some issues have been identified in both digitizations, implying that they are intrinsic characteristics of the data. Moreover, errors in timing of the observations plague both digitizations. Overall, the most recent 16-bit digitization offers an improvement over the earlier 8-bit one. It also includes considerably more data and should be preferred.
The effect of short online pedagogical training on university teachers’ interpretations of teaching–learning situations
Authors: Vilppu Henna , Södervik Ilona , Postareff Liisa , Murtonen Mari 
Published: October 2019

AbstractThe aim of the study was to explore whether short online pedagogy courses can have an effect on university teachers’ interpretations of teaching–learning situations. Before and after participating in a short online pedagogical training programme, a total of 66 participants wrote their interpretations of two short video clips, which depicted a content-focused teacher and a learning-focused teacher, respectively. The training was successful in changing participants’ interpretations from a knowledge-transmission view to a learning-facilitation view of teaching. This result indicates that even short online training programmes have the potential to affect participants’ interpretations of teaching–learning situations, especially when participants are not very experienced in teaching. Therefore, pedagogical training should be offered already at the early stages of teaching careers.
Inflammatory myofibroblastic tumor arising from the ascending aorta mimicking a thymoma
Authors: Yun Ju Sik , Song Sang Yun , Na Kook Joo , Kim Seok , Choi Yoo Duk 
Published: October 2019

Abstract
An inflammatory myofibroblastic tumor originating from the aorta is extremely rare. Here, we report a case involving a 41-year-old female patient with an aortic inflammatory myofibroblastic tumor. Although preoperative imaging showed a mediastinal mass indicative of invasive thymoma, surgical findings revealed that this mass originated from the aorta. The patient underwent partial resection of the aorta, including the mass with patch angioplasty. Based on the postoperative histological findings, the patient was diagnosed with an aortic inflammatory myofibroblastic tumor and is currently under outpatient follow-up.
Neoadjuvant therapy in urothelial cancer
Authors: Brönimann Stephan , D’Andrea David , Shariat Shahrokh F. , Gust Kilian M. 
Published: October 2019

Summary
Neoadjuvant cisplatin-based chemotherapy is standard treatment for muscle-invasive bladder cancer before radical cystectomy (RC). Despite level 1 evidence demonstrating an overall survival benefit for patients undergoing RC after neoadjuvant chemotherapy (NAC), acceptance rates are still low. In high-risk upper tract urothelial cancer (UTUC), cumulative evidence suggests that NAC for locally advanced UTUC can improve oncological outcome. Ongoing phase 3 trials will finally prove the benefit or futility of NAC in this tumor entity. Since urothelial cancer (UC) is a heterogeneous disease, predictive biomarkers are needed to select specific patient populations and potentially increase response rates to NAC. Novel targeting therapies, including immune checkpoint inhibitors, have been approved for metastatic UC. In combination with predictive biomarkers, these might have the potential to change systemic therapy for UC from a “one-fits-all” principle to a more individualized approach.
Anodic Alumina Photonic Crystals as Refractive Index Sensors for Controlling the Composition of Liquid Mixtures
Authors: Ashurov Matin , Gorelik Vladimir , Napolskii Kirill , Klimonsky Sergey 
Published: October 2019

Abstract
Photonic crystals based on anodic aluminum oxide films are examined as refractive index sensors for controlling the composition of water-alcohol liquid mixtures. The position of the reflectance maximum corresponding to the first photonic stop band is used as the analytical signal. Impregnation of a photonic crystal with water-ethanol and water-glycerol mixtures results in a redshift of the reflectance maximum. A fairly high refractive index sensitivity, sufficient to determine the composition of water-ethanol and water-glycerol mixtures with an accuracy of about 1 wt.%, is observed. The detailed dependencies of the analytical signal on the composition of mixtures are experimentally investigated and compared with numerical calculations. Prospects and limitations of the refractive index sensors based on anodic alumina photonic crystals are discussed.
Direct Patterning of Carbon Nanotube via Stamp Contact Printing Process for Stretchable and Sensitive Sensing Devices
Authors: Liang Binghao , Zhang Zian , Chen Wenjun , Lu Dongwei , Yang Leilei , Yang Rongliang , Zhu Hai , Tang Zikang , Gui Xuchun 
Published: October 2019

Abstract
Flexible and wearable sensing devices have broad application prospects in bio-monitoring such as pulse measurement, motion detection and voice recognition. In recent years, many significant improvements had been made to enhance the sensor’s performance including sensitivity, flexibility and repeatability. However, it is still extremely complicated and difficult to prepare a patterned sensor directly on a flexible substrate. Herein, inspired by typography, a low-cost, environmentally friendly stamping method for the mass production of transparent conductive carbon nanotube (CNT) film is proposed. In this dry transfer strategy, a porous CNT block was used as both the seal and the ink; and Ecoflex film was served as an object substrate. Well-designed CNT patterns can be easily fabricated on the polymer substrate by engraving the target pattern on the CNT seal before the stamping process. Moreover, the CNT film can be directly used to fabricate ultrathin (300 μm) strain sensor. This strain sensor possesses high sensitivity with a gauge factor (GF) up to 9960 at 85% strain, high stretchability (> 200%) and repeatability (> 5000 cycles). It has been used to measure pulse signals and detect joint motion, suggesting promising application prospects in flexible and wearable electronic devices.
Literature Review: Strategies for Addressing Language Barriers During Humanitarian Relief Operations
Authors: Rossi Carlo , Grenier Sylvain , Vaillancourt Régis 
Published: October 2019

AbstractHumanitarian relief operations (HUMRO) represent a nexus between military diplomacy and global health engagement, and may play an increasing role in military operations in the near future. Language barriers between providers and the individuals being assisted are a significant constraint on HUMRO. A literature review was conducted to identify recommendations to address patient-provider language discordance in the international HUMRO context. This was supplemented by a North Atlantic Treaty Organization and US Department of Defense doctrinal review to identify existing best practices for addressing language barriers. Four general themes were identified: (1) print-based aids, (2) information technology, (3) bilingual responders, and (4) the effective use of medical interpreters in the HUMRO setting. Each strategy is reviewed. Informed by expert opinion, we provide concrete leadership and training recommendations for how HUMRO providers might more effectively communicate with patients in a deployed language-discordant context.
Approaches to Kurdish Autonomy in the Middle East
Authors: Gunes Cengiz 
Published: October 2019

AbstractThis article focuses on the approaches and challenges to Kurdish autonomy in Iraq, Syria, and Turkey. Accommodation of Kurdish rights via autonomy arrangements has a long history as an idea but negotiating actual autonomy agreements was often a fruitless task. However, the weakening of state power in Iraq since 1991 and in Syria since 2011 has created opportunities for Kurdish movements in these states to develop and consolidate their autonomous administrations. Consequently, in recent years, the debate on Kurdish autonomy in the Middle East has taken center stage in the regional political discourse. This article first discusses the literature on approaches to autonomy to set out the main models and assess their strengths and weaknesses. It then provides accounts of the models of autonomy that are either practiced or proposed by Kurdish actors or entities in Iraq, Turkey, and Syria. The final section assesses the ability and suitability of the proposed or practiced models for the accommodation of Kurdish rights and demands and develops insights into how the current difficulties preventing the accommodation of Kurdish rights in the Middle East may be overcome.
Born this way? A review of neurobiological and environmental evidence for the etiology of psychopathy
Authors: Frazier Annabelle , Ferreira Patricia A. , Gonzales Joseph E. 
Published: October 2019

AbstractAcross a significant body of research, psychopathy has often been conceptualized as a biologically based malady. In this research, genetic and neurobiological differences have been conceptualized to underlie psychopathy, while affected individuals’ life experiences only influence expressed psychopathic features and their severity. Psychopathy research has largely ignored developmental evidence demonstrating significant influences of environment on both biological and behavioral processes, resulting in several prominent criticisms (Edens & Vincent, 2008; Loeber, Byrd, & Farrington, 2015). The current review was conducted with two main aims: (a) to collect and consider etiological evidence from the extant body of research on genetic and neurobiological factors in psychopathy; and (b) to evaluate findings from genetic, neurotransmitter, brain structure, and brain function studies in the context of relevant evidence from developmental research. Examples from research on adversity and traumatic stress, a common correlate of psychopathy, were used to highlight current research gaps and future directions to aid in the integration of developmental and neurobiological research agendas. While some promising evidence exists regarding possible underlying neurobiological processes of psychopathic traits, this evidence is insufficient to suggest a largely biological etiology for the disorder. Further, information from developmental and epigenetic research may suggest complex, multidimensional trajectories for individuals experiencing psychopathy. Based on these observations, the authors make several recommendations for future research, as well as for current clinical application and practice.
Modelling occurrence probability of the Endangered green peafowl Pavo muticus in mainland South-east Asia: applications for landscape conservation and management
Authors: Sukumal Niti , Dowell Simon D. , Savini Tommaso 
Published: October 2019

AbstractThe green peafowl Pavo muticus is a highly threatened galliform species that was historically distributed widely across South-east Asia. Evidence shows a recent population decline and range contraction for this species, linked with habitat degradation and over-exploitation. This study aimed to determine the current known distribution across mainland South-east Asia and investigate potential habitat that could host remaining viable populations and contribute to the long-term survival of the species. We used locations from historical and recent records and habitat variables from a geographical information system database to model the probability of occurrence and classify key localities according to their relative importance for the species. Our results showed that the green peafowl probably occurs in less than 16% of its historical range across mainland South-east Asia and that remaining locations are fragmented. Four confirmed and two potential stronghold populations were identified for the species, based on the localities with high capacity to contribute to its long-term survival in large contiguous patches. These were in central Myanmar, western and northern Thailand, eastern Cambodia/south-central Viet Nam and northern Cambodia/southern Lao. Threats vary amongst countries, with continued habitat loss and degradation in many areas and hunting particularly acute in Viet Nam, Cambodia and Lao. Most of the remaining populations are in protected areas but the protection level varies widely. We propose conservation actions for each stronghold population, in accordance with the nature of the threats and protection level in each area, to prevent the local extinction of this species.
Extended composite index of anthropometric failure in Argentinean preschool and school children
Authors: Bejarano IF , Oyhenart EE , Torres MF , Cesani MF , Garraza M , Navazo B , Zonta ML , Luis MA , Quintero FA , Dipierri JE , Alfaro E , Román EM , Carrillo R , Dahinten S , Lomaglio DB , Menecier N , Marrodán MD 
Published: October 2019

AbstractObjective:The Composite Index of Anthropometric Failure (CIAF) can only be applied to children under 5 years of age and does not contemplate obesity. The aim of this study was to propose an Extended CIAF (ECIAF) that combines the characterization of malnutrition due to undernutrition and excess weight, and apply it in six Argentine provinces.Design:ECIAF excludes children not in anthropometric failure (group A) and was calculated from a percentage of children included in malnutrition categories B: wasting only; C: wasting and underweight; D: wasting, stunting and underweight; E: stunting and underweight; F: stunting only; Y: underweight only; G: only weight excess; and H: stunting and weight excess.Setting:Cross-sectional study conducted in Buenos Aires, Catamarca, Chubut, Jujuy, Mendoza and Misiones (Argentina).Participants:10 879 children of both sexes aged between 3 and 13·99.Results:ECIAF in preschool children (3 to 4·99 years) was 15·1 %. The highest prevalence was registered in Mendoza (16·7 %) and the lowest in Misiones (12·0 %). In school children (5 to 13·99 years) ECIAF was 28·6 %. Mendoza also recorded the highest rate (30·7 %), while Catamarca and Chubut had the lowest values (27·0 %). In the whole sample, about 25 % of the malnutrition was caused by undernutrition and 75 % by excess weight.Conclusions:The ECIAF summarizes anthropometric failure by both deficiency and excess weight and it highlights that a quarter of the malnutrition in the Argentine population was caused by undernutrition, although there are differences between Provinces (P < 0·05). ECIAF estimates are higher than those of CIAF or under-nutrition.