bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-objective aerodynamic optimization of high-speed train heads based on the PDE parametric modeling
Authors: Wang Shuangbu , Wang Ruibin , Xia Yu , Sun Zhenye , You Lihua , Zhang Jianjun 
Published: April 2021

AbstractWith the increasing running speed, the aerodynamic issues of high-speed trains are being raised and impact the running stability and energy efficiency. The optimization design of the head shape is significantly important in improving the aerodynamic performance of high-speed trains. Existing aerodynamic optimization methods are limited by the parametric modeling methods of train heads which are unable to accurately and completely parameterize both global shapes and local details. Due to this reason, they cannot optimize both global and local shapes of train heads. In order to tackle this problem, we propose a novel multi-objective aerodynamic optimization method of high-speed train heads based on the partial differential equation (PDE) parametric modeling. With this method, the half of a train head is parameterized with 17 PDE surface patches which describe global shapes and local details and keep the surface smooth. We take the aerodynamic drag and lift as optimization objectives; divide the optimization design process into two stages: global optimization and local optimization; and develop global and local optimization methods, respectively. In the first stage, the non-dominated sorting genetic algorithm (NSGA-II) is adopted to obtain the framework of the train head with an optimized global shape. In the second stage, Latin hypercube sampling (LHS) is applied in the local shape optimization of the PDE surface patches determined by the optimized framework to improve local details. The effectiveness of our proposed method is demonstrated by better aerodynamic performance achieved from the optimization solutions in global and local optimization stages in comparison with the original high-speed train head.
Microeukaryotic and Prokaryotic Diversity of Anchialine Caves from Eastern Adriatic Sea Islands
Authors: Kajan Katarina , Cukrov Neven , Cukrov Nuša , Bishop-Pierce Renée , Orlić Sandi 
Published: April 2021

AbstractAnchialine ecosystems in the eastern Adriatic Sea are diverse both morphologically and biologically. In this study, for the first time, we explored the microeukaryotic and prokaryotic community of anchialine caves in the Mediterranean region using high-throughput sequencing. Four anchialine caves located on nearby islands with a well-pronounced salinity gradient were sampled at the surface freshwater area, halocline area, and seawater area. Sequencing revealed a surprisingly wide diversity of the microeukaryotic and prokaryotic community with the relative abundance of major phyla differing within the salinity gradient and between the caves. Interestingly, microeukaryotic and prokaryotic communities clustered into four groups based on location, pointing out that sampled anchialine caves have different microbial community patterns and high microbial endemism. Our results indicate that even with the halocline acting as a selecting barrier, the salinity is not the only community structuring factor. Despite the short geographical distance, the isolation of anchialine caves facilitated high microbial community adaptation and endemism. Our study suggests that anchialine caves represent reservoirs of new biodiversity, maintaining unique and complex microbial diversity influenced by biotic interactions and abiotic environmental conditions.
Strong Solvability of a Variational Data Assimilation Problem for the Primitive Equations of Large-Scale Atmosphere and Ocean Dynamics
Authors: Korn Peter 
Published: April 2021

AbstractFor the primitive equations of large-scale atmosphere and ocean dynamics, we study the problem of determining by means of a variational data assimilation algorithm initial conditions that generate strong solutions which minimize the distance to a given set of time-distributed observations. We suggest a modification of the adjoint algorithm whose novel elements is to use norms in the variational cost functional that reflects the $$H^1$$

H
1

-regularity of strong solutions of the primitive equations. For such a cost functional, we prove the existence of minima and a first-order adjoint condition for strong solutions that provides the basis for computing these minima. We prove the local convergence of a gradient-based descent algorithm to optimal initial conditions using the second-order adjoint primitive equations. The algorithmic modifications due to the $$H^1$$

H
1

-norms are straightforwardly to implement into a variational algorithm that employs the standard $$L^2$$

L
2

-metrics.
Light diffraction from a phase grating at oblique incidence in the intermediate diffraction regime
Authors: Heuberger Georg , Klepp Jürgen , Guo Jinxin , Tomita Yasuo , Fally Martin 
Published: April 2021

AbstractWe experimentally characterize the positions of the diffraction maxima of a phase grating on a screen, for laser light at oblique incidence (so-called off-plane diffraction or conical diffraction). We discuss the general case of off-plane diffraction geometries and derive basic equations for the positions of the diffraction maxima, in particular for their angular dependence. In contrast to previously reported work (Jetty et al. in Am J Phys 80:972, 2012), our reasoning is solely based on energy- and momentum conservation. We find good agreement of our theoretical prediction with the experiment. A detailed discussion of the diffraction maxima positions, the number of diffraction orders, and the diffraction efficiencies is provided. We assess the feasibility of an experimental test of the phenomenon for neutron matter waves.
Fatty acid accumulation in feeding types of a natural freshwater fish population
Authors: Scharnweber Kristin , Chaguaceda Fernando , Eklöv Peter 
Published: April 2021

AbstractFatty acids are widely used to study trophic interactions in food web assemblages. Generally, it is assumed that there is a very small modification of fatty acids from one trophic step to another, making them suitable as trophic biomarkers. However, recent literature provides evidence that many fishes possess genes encoding enzymes with a role in bioconversion, thus the capability for bioconversion might be more widespread than previously assumed. Nonetheless, empirical evidence for biosynthesis occurring in natural populations remains scarce. In this study, we investigated different feeding types of perch (Perca fluviatilis) that are specialized on specific resources with different levels of highly unsaturated fatty acids (HUFAs), and analyzed the change between HUFA proportions in perch muscle tissue compared to their resources. Perch showed matching levels to their resources for EPA, but ARA and especially DHA were accumulated. Compound-specific stable isotope analyses helped us to identify the origin of HUFA carbon. Our results suggest that perch obtain a substantial amount of DHA via bioconversion when feeding on DHA-poor benthic resources. Thus, our data indicate the capability of bioconversion of HUFAs in a natural freshwater fish population.
Does expenditure in public governance guarantee less corruption? Non-linearities and complementarities of the rule of law
Authors: Guerrero Omar A. , Castañeda Gonzalo 
Published: April 2021

AbstractCorruption is an endemic societal problem with profound implications in the development of nations. In combating this issue, cross-national evidence supporting the effectiveness of the rule of law seems at odds with poorly realized outcomes from reforms inspired in the academic literature. This paper provides an explanation for such contradiction. By building a computational approach, we develop three methodological novelties into the empirical study of corruption: (1) modeling government expenditure as a more adequate intervention variable than traditional indicators, (2) generating large within-country variation by means of bottom-up simulations (instead of cross-national data pooling), and (2) accounting for all possible interactions between covariates through a spillover network. Our estimates suggest that, the least developed a country is, the more difficult it is to find the right combination of policies that lead to reductions in corruption. We characterize this difficulty through a rugged landscape that governments navigate when changing the total budget size and the relative expenditure towards the rule of law. Importantly our method helps identifying the—country-specific—policy issues that complement the rule of law in the fight against corruption.
Foreign Direct Investments, Renewable Electricity Output, and Ecological Footprints: Do Financial Globalization Facilitate Renewable Energy Transition and Environmental Welfare in Bangladesh?
Authors: Murshed Muntasir , Elheddad Mohamed , Ahmed Rizwan , Bassim Mohga , Than Ei Thuzar 
Published: April 2021

AbstractPhasing out fossil fuel dependency to adopt renewable energy technologies is pertinent for both ensuring energy security and for safeguarding the well-being of the environment. However, financial constraints often restrict the developing countries, in particular, from undergoing the renewable energy transition that is necessary for easing the environmental hardships. Against this background, this study makes a novel attempt to evaluate the impacts of FDI inflows on enhancing renewable energy use and attaining environmental sustainability in Bangladesh between 1972 and 2015. Using the autoregressive distributed lags with structural break approach to estimate the short- and long-run elasticities, it is found that FDI inflows enhance the share of renewable electricity output in the total electricity output levels of the country. Besides, FDI inflows are also evidenced to directly hamper environmental quality by boosting the ecological footprints figures of Bangladesh. Hence, it can be said that FDI promotes renewable electricity generation in Bangladesh but transforms the nation into a pollution haven. However, although FDI inflows cannot directly reduce the ecological footprints, a joint ecological footprint mitigation impact of FDI inflows and renewable electricity generation is evidenced. Besides, the findings also verify the authenticity of the Environmental Kuznets Curve hypothesis in Bangladesh’s context. Therefore, economic growth can be referred to as being both the cause and the panacea to the environmental problems faced by Bangladesh. These results, in a nutshell, calls for effective measures to be undertaken for attracting the relatively cleaner FDI in Bangladesh whereby the objectives of renewable energy transition and environmental sustainability can be achieved in tandem. In line with these findings, several appropriate financial globalization policies are recommended.
Consequences of school closure on access to education: Lessons from the 2013–2016 Ebola pandemic
Authors: Smith William C. 
Published: April 2021

AbstractThe COVID-19 pandemic has seen an unprecedented shutdown of society. Among the various safety measures taken, much attention has been given to school closure as a non-pharmaceutical mitigation tool to curb the spread of the disease through ensuring “social” (physical) distancing. Nearly 1.725 billion children in over 95% of countries worldwide have been affected by school closures implemented in April 2020 as the virus continued to spread. In the field of education, policymakers’ attention has been directed at keeping students on board through remote learning and addressing the immediate needs of schools upon reopening. The study presented in this article focuses on who remains absent after schools resume. Using publicly available survey data from the USAID Demographic Health Surveys Program and the UNICEF Multiple Indicator Cluster Survey from before and after the 2013–2016 Ebola pandemic in Guinea and Sierra Leone in West Africa, the author examined changes in school enrolment and dropout patterns, with targeted consideration given to traditionally marginalised groups. At the time, schools closed for between seven to nine months in the two countries; this length and intensity makes this Ebola pandemic the only health crisis in the recent past to come close to the pandemic-related school closures experienced in 2020. The author’s findings suggest that post-Ebola, youth in the poorest households saw the largest increase in school dropout. Exceeding expected pre-Ebola dropout rates, an additional 17,400 of the poorest secondary-age youth were out of school. This evidence is important for minimising the likely post-COVID-19 expansion in inequality. The author’s findings point to the need for sustainable planning that looks beyond the reopening of educational institutions to include comprehensive financial support packages for groups most likely to be affected.
A review of antidiabetic active thiosugar sulfoniums, salacinol and neokotalanol, from plants of the genus Salacia
Authors: Morikawa Toshio , Ninomiya Kiyofumi , Tanabe Genzoh , Matsuda Hisashi , Yoshikawa Masayuki , Muraoka Osamu 
Published: April 2021

Abstract
During our studies characterizing functional substances from food resources for the prevention and treatment of lifestyle-related diseases, we isolated the active constituents, salacinol (1) and neokotalanol (4), and related thiosugar sulfoniums, from the roots and stems of the genus Salacia plants [Celastraceae (Hippocrateaceae)] such as Salacia reticulata Wight, S. oblonga Wall., and S. chinensis L., and observed their antidiabetic effects. These plant materials have been used traditionally in Ayurvedic medicine as a specific remedy at the early stage of diabetes, and have been extensively consumed in Japan, the United States, and other countries as a food supplement for the prevention of obesity and diabetes. Here, we review our studies on the antidiabetic effects of plants from the genus Salacia, from basic chemical and pharmacological research to their application and development as new functional food ingredients.

Graphic abstract
How Do Patients Want Us to Use the Computer During Medical Encounters?—A Discrete Choice Experiment Study
Authors: Lanier Cédric , Dominicé Dao Melissa , Baer Dave , Haller Dagmar M. , Sommer Johanna , Junod Perron Noëlle 
Published: April 2021

Abstract
Background
Primary care physicians (PCPs) now widely use electronic health records (EHRs) during medical encounters. Experts in clinical communication issued recommendations for a patient-centered use of EHRs. However, they have never been validated by patients themselves.

Objective
To explore patients’ preferences regarding physicians’ EHR-related behaviors.

Design
Discrete choice experiment study.

Patients
French-speaking patients waiting for a medical consultation at two outpatient clinics in Geneva, Switzerland.

Main Measures
We invited patients to watch videos displaying 2 or 3 variations of four specific EHR-related behaviors and asked them to indicate which one they preferred. EHR-related behaviors were (1) typing: continuous/intermittent/handwriting in biomedical or psychosocial focused consultations; (2) maintaining contact while typing: visual/verbal/both; (3) signposting the use of EHR: with/without; (4) position of physicians’ hands and bust: on the keyboard and towards the patient/away from the keyboard and towards the patient/on the keyboard and towards the screen.

Key Results
Three hundred thirty-six patients participated (response rate 61.4%). They preferred intermittent typing versus handwriting or continuous typing for biomedical issues (32.7%; 95% CI: 26.0–40.2% vs 31.6%; 95% CI: 24.9–39.0% or 14.9%; 95% CI: 10.2–21.1%) and psychosocial issues (38.7%; 95% CI: 31.6–46.3% vs 24.4% 95% CI: 18.4–31.5% or 17.9%; 95% CI; 12.7–24.4%). They favored visual and verbal contact (38.9%; 95% CI: 31.9–46.3%) over verbal (30.3%; 95% CI: 23.9–37.5%) or visual contact only (11.4%; 95% CI: 7.5–17.1%) while the doctor was typing. A majority preferred signposting the use of EHR versus no signposting (58.9%; 95% CI: 53.5–64.0% vs 34.8%; 95% CI: 29.9–40.1%). Finally, half of the patients (49.7%; 95% CI: 42.0–57.4%) favored the position with the physician’s bust towards the patient and hands away from the keyboard.

Conclusions
Our study shows that patients’ preferences regarding EHR-related behaviors are in line with most experts’ recommendations. Such recommendations should be more consistently integrated into under- and postgraduate communication skills training.
Experimental and Numerical Analysis of Cavity/Mean-Flow Interaction in Low Pressure Axial Flow Turbines
Authors: Barsi Dario , Costa Carlo , Lengani Davide , Simoni Daniele , Venturino Giulio , Zunino Pietro 
Published: April 2021

AbstractThe increasing performance of modern aeroengines led the research towards the optimization of machine components not deeply analyzed in the past. In this context, the mechanisms driving the interaction process between the secondary flows evolving at the hub of low-pressure turbines with the rotor-stator cavity systems have been poorly investigated in the literature. In this work, an experimental and numerical analysis of the interaction between the endwall near wall flow and the leakage flow of a real cavity system is presented. The experimental results were carried out in the annular low-pressure axial flow turbine of the University of Genova. Experimental blade loading and pressure distributions into the cavity, as well as the measured total pressure loss coefficient, have been used for a proper validation of CFD results. Both steady and unsteady calculations were carried out through the commercial solver Numeca. Particularly, several numerical approaches have been tested into this work: RANS, Non Linear Harmonic (NLH), and URANS. The most promising CFD techniques have been firstly identified by comparison with experimental results and then systematically employed to extend the analysis of secondary flow-cavity flow interaction to positions and quantities not available from the experiments. Losses characterizing the mean flow-cavity flow interaction process will be shown to cover a great amount of the overall stage losses and should be properly accounted for the design of future optimized cavity configurations.
Basal Plane Delamination Energy Measurement in a Ti3SiC2 MAX Phase
Authors: Gavalda-Diaz Oriol , Lyons Jack , Wang Siyang , Emmanuel Max , Marquardt Katharina , Saiz Eduardo , Giuliani Finn 
Published: April 2021

AbstractThe {0001} basal plane delamination dominating the crack-wake bridging in MAX phases at a bulk scale has been investigated by studying the small-scale fracture of a Ti3SiC2. In situ micro-double cantilever beam (DCB) tests in a scanning electron microscope were used to grow a stable crack along the basal plane, measure the fracture energy, and study the crack propagation mechanism at the nanoscale. The results show that the fracture energy (10–50 J/m2) depends on small misorientations angles (e.g., 5°) of the basal plane to the stress field. This induces permanent deformation which can be observed once the DCB has been unloaded. The nanoscale study of the crack shows that the plasticity at the crack tip is small, but a number of pairs of dislocations are forming at each side of the crack. Hence, this study helps to explain the enhanced fracture energy values and possible sources of energy dissipation in basal plane delamination, which is the one of the main toughening mechanisms in the bulk fracture of MAX phases.
Extracellular Vesicles from Human Adipose-Derived Mesenchymal Stem Cells: A Review of Common Cargos
Authors: Alonso-Alonso Maria Luz , García-Posadas Laura , Diebold Yolanda 
Published: April 2021

AbstractIn recent years, the interest in adipose tissue mesenchymal cell–derived extracellular vesicles (AT-MSC-EVs) has increasingly grown. Numerous articles support the potential of human AT-MSC-EVs as a new therapeutic option for treatment of diverse diseases in the musculoskeletal and cardiovascular systems, kidney, skin, and immune system, among others. This approach makes use of the molecules transported inside of EVs, which play an important role in cell communication and in transmission of macromolecules. However, to our knowledge, there is no database where essential information about AT-MSC-EVs cargo molecules is gathered for easy reference. The aim of this study is to describe the different molecules reported so far in AT-MSC- EVs, their main molecular functions, and biological processes in which they are involved. Recently, the presence of 591 proteins and 604 microRNAs (miRNAs) has been described in human AT-MSC-EVs. The main molecular function enabled by both proteins and miRNAs present in human AT-MSC-EVs is the binding function. Signal transduction and gene silencing are the biological processes in which a greater number of proteins and miRNAs from human AT-MSC-EVs are involved, respectively. In this review we highlight the therapeutics effects of AT-MSC-EVs related with their participation in relevant biological processes including inflammation, angiogenesis, cell proliferation, apoptosis and migration, among others.
Graphical abstract
HOXC10 promotes growth and migration of melanoma by regulating Slug to activate the YAP/TAZ signaling pathway
Authors: Miao Yuanxin , Zhang Weina , Liu Su , Leng Xiangfeng , Hu Chunnan , Sun Hao 
Published: April 2021

AbstractHomeobox C10 (HOXC10) has been reported to participate in various cancers. However, the involvement of HOXC10 in melanoma is still unknown. Here, we attempted to determine whether HOXC10 can affect the development of melanoma. We separated melanoma tissues and the matched tumor-adjacent normal tissues from melanoma patients, and examined HOXC10 expression in the melanoma cells and tissues. Comparing with the tumor-adjacent normal tissues, HOXC10 was up-regulated in melanoma tissues. Melanoma cells also displayed an up-regulation of HOXC10. Moreover, HOXC10 inhibition suppressed cell proliferation, clone formation and promoted apoptosis of melanoma cells. Knockdown of HOXC10 also retarded migration, invasion and epithelial–mesenchymal transition (EMT) in melanoma cells. Additionally, HOXC10 accelerated Slug expression by interacting with Slug, and activating the promoter of Slug. Slug activated the YAP/TAZ signaling pathway, which was reversed by HOXC10 silencing. The in vitro assays demonstrated that inhibition of HOXC10 significantly repressed tumor growth and lung metastasis of melanoma in mice by inhibiting Slug and YAP/TAZ signaling pathway. In conclusion, this work demonstrated that HOXC10 promoted growth and migration of melanoma by regulating Slug to activate the YAP/TAZ signaling pathway. Therefore, this study suggests that inhibition of HOXC10 has therapeutic potential in melanoma.
Microstructure and properties of nano-laminated Y3Si2C2 ceramics fabricated via in situ reaction by spark plasma sintering
Authors: Shi Lin-Kun , Zhou Xiaobing , Dai Jian-Qing , Chen Ke , Huang Zhengren , Huang Qing 
Published: April 2021

AbstractA nano-laminated Y3Si2C2 ceramic material was successfully synthesized via an in situ reaction between YH2 and SiC using spark plasma sintering technology. A MAX phase-like ternary layered structure of Y3Si2C2 was observed at the atomic-scale by high resolution transmission electron microscopy. The lattice parameters calculated from both X-ray diffraction and selected area electron diffraction patterns are in good agreement with the reported theoretical results. The nano-laminated fracture of kink boundaries, delamination, and slipping were observed at the tip of the Vickers indents. The elastic modulus and Vickers hardness of Y3Si2C2 ceramics (with 5.5 wt% Y2O3) sintered at 1500 °C were 156 and 6.4 GPa, respectively. The corresponding values of thermal and electrical conductivity were 13.7 W·m-1·K-1 and 6.3×105 S·m-1, respectively.