bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital orientalism in Russia
Authors: Aladyshkin I. V. , Ulyanova S.B. , Anosova N.E. , Qi Wang 
Published: October 2020

Abstract
The authors analyze the digital component in the Oriental studies in Russia in the context of key trends and parameters of the growing digitalization of the humanities. The analysis of digitalization in the Oriental studies in Russia is based on the observation of more than 30 Internet resources of the last 10 years. The methodological basis of the work is the analytical and systematic approach to the study using the methods of logical and causal analysis, as well as expert estimates and systematized data. The classification of electronic resources in the relevant field of scientific research is given. Internet resources with a relatively rich database of digitized materials have been analyzed. At the same time, the short period of activity of many Internet resources and the lack of their updating result in a decreased scientific value of these resources. Considering the digital component of the Russian Oriental studies, the development of digital materials complexes takes place, however the digital studies are not conducted. The array of information is fragmented and lacks systematization. The authors conclude that a generalizing system should be created that would activate the available resources and make them work for the development of science.
Rolling Planning Method for Logistic System for Controlling Inventory and Stock-out Under Unsteady Demand
Authors: Islam Md. Mohibul , Arakawa Masahiro 
Published: October 2020

Abstract
In this paper, rolling planning method for logistics system is proposed for minimizing logistics cost, controlling inventory, and stock out parts due to unsteady demand for a particular planning period. Demand variability is the main challenge for any supply chain network. One strategy to tackle this challenge is to practice a make-to-order supply system. However, there is a risk to have delays on the supply, when the final customers generate the order because the product requires a specific production time and a lead time to arrive from the factory to the customer. For handling unsteady demand, the main problem is the generation of stock-out products or in opposite case, the generation of dead stock due to a large number of storage products. For solving these problems, rolling planning method is proposed. The aim of this method is to estimate the optimal production, delivery quantities and to hold satisfied inventory level for minimizing stock out parts over the planning period. The proposed model and solution approaches are implemented in a numerical example. The solution has shown that the proposed rolling planning model for logistics system handle unsteady demand successfully for controlling inventory and stock out parts over the given planning period.
Development of information system to generate assembly order of parts considering work difficulty
Authors: Arakawa Masahiro , Yokoi Souta , Kobayashi Hayata , Kurihara Sayaka , Ishida Kensuke 
Published: October 2020

Abstract
In this study, we develop an information system to generate the assembly order of parts to reduce work difficulty during parts assembly. Several types of tables are proposed to store the relationship of connection and contact between parts and characteristics related to the structure between parts causing work difficulty. In addition, a mathematical model is constructed to generate the assembly order of parts to reduce work difficulty. The effectiveness of the developed system is evaluated based on numerical and assembly experiments using an actual product.
Methodology for evaluating the readiness of internal logistics processes for Industry 4.0
Authors: Zoubek M , Šimon M 
Published: October 2020

Abstract
The field of internal logistics is one of the critical areas of a company and has a great potential within the concept of Industry 4.0. The basic premise of smart production is to have a complete overview of all the logistics movements of products, i.e. from entry, through production to dispatch. Furthermore, this is exactly what the digitization of internal logistics allows. The development of Industry 4.0 based on digitization and automation presents excellent challenges for logistics and opportunities for further growth and development. Companies should optimize, automate and digitally transform internal logistics into a more autonomous and flexible form. However, a company must be prepared for this Industry 4.0 concept and know its level of maturity in this area. The primary purpose of this article is to describe a methodology for assessing the readiness of internal logistics processes, which are structured into several areas to cover the entire area of internal logistics. These processes are evaluated using the methodology, and the company’s current level is assessed according to specific indicators for each area of internal logistics. By implementing elements from modern logistics, the aim is to increase the level of the company.
Comprehensive Quantitative Characterisation of Single Crystal Alloys
Authors: Nenchev B , Strickland J , Perry S , Tassenberg K , Gill S 
Published: October 2020

Abstract
Classically, the primary dendrite arm spacing (PDAS) is used as a gauge to determine the quality of a single-crystal alloy. However, this length scale varies substantially over a cast due to variation in the thermo-solutal conditions. In this work, several dimensionless parameters are derived that characterise this variation based purely on geometrical and natural pattern formation. They are determined by applying a novel shape limited spacing algorithm (SLPS). SLPS accurately evaluates the relationship between local PDAS and packing pattern formations, offering a new method of single crystal analysis. The SLPS algorithm is a part of DenMap, a dendrite core feature extraction tool designed to significantly speed up single-crystal characterisation for process optimisation and standardisation for academia and industry.
Dendritic Packing and Porosity Formation within Single Crystal CMSX-4® Ni-Base Superalloy
Authors: Perry S , Strickland J , Nenchev B , Tassenberg K , Dong HB 
Published: October 2020

Abstract
Specialised imaging techniques are instrumental for extracting the wealth of information locked within as-cast microstructures. Recently, a novel characterisation tool (Shape-Limited Primary Spacing) was developed for determining primary dendrite arm spacing (PDAS), dendritic packing pattern and porosity formation within single crystal microstructures. In this work, the algorithm is applied to a single crystal CMSX-4® Ni-base superalloy to investigate the relationship between dendritic packing pattern and condensation porosity. It is concluded that porosity formation is reduced when regular organised dendritic packing patterns form. This work elucidates new unknown relationships between packing and porosity and may help to develop improved process-property models for defect prediction.
Thermal and Mechanical Joining of Basalt Fiber Reinforced Thermoplastic Laminates
Authors: Al-Obaidi A , Rochala P , Kroll M , Hahn T , Kräusel V 
Published: October 2020

Abstract
In this paper, quasi-isotropic basalt fiber reinforced polyamide PA6 was joined to aluminum sheets using three different joining technologies. The joints were manufactured by means of nut and bolt (NAB) as well as two-piece hollow riveting (TPHR) as current state of the art processes. Furthermore, additional joints were established by the new inductive contact joining (ICJ) technology. The obtained specimens were compared by means of tensile shear tests and by analysis of the fractured surfaces. It was found that the joints produced by ICJ are superior in comparison to joints manufactured by TPHR with regard to joint strength. In addition, during ICJ, the fibers of the polymer material are not damaged and the strength of the base material is maintained. Further optimization potential of the ICJ process was discovered during the investigations, so that potentially higher joint strengths as well as shorter process times can be expected, making the process interesting for future industrial applications.
Enhanced visible light driven Photocatalytic activity of MnO2 nanomaterials and their hybrid structure with carbon nanotubes
Authors: Warsi Muhammad Farooq , Bilal Muhammad , Zulfiqar Sonia , Khalid Muhammad Usman , Agboola Philips O , Shakir Imran 
Published: October 2020

Abstract
MnO2 nanomaterials were synthesized using a simple wet redox method. Crystal structure of as prepared pure and Al doped MnO2 nanomaterials was investigated using X-ray diffraction (XRD) technique. Crystal structure was further confirmed by FTIR analysis. Morphology of pure MnO2, Al doped MnO2, MnO2/CNT hybrid structure and Al doped MnO2/CNT hybrid structure was studied using scanning electron microscopy (SEM). Energy dispersive X-ray spectroscopy confirmed the presence of all the constituent atoms in the crystal structure of all the samples. Bandgap value was found to decrease with the modification (doping and hybrid structure). Photocatalytic efficiency of all the MnO2 samples was studied using the photodegradation of methylene blue (MB) under the visible light (solar radiation). Effect of different intermediates on the photodegradation efficiency was studied using different scavengers.
Variable Performance in 6 Commercial SARS-CoV-2 Antibody Assays May Affect Convalescent Plasma and Seroprevalence Screening
Authors: Zilla Megan , Wheeler Bradley J , Keetch Christian , Mitchell Gretchen , McBreen Jeffrey , Wells Alan , Shurin Michael R , Peck-Palmer Octavia , Wheeler Sarah E 
Published: October 2020

AbstractObjectivesSerologic detection of prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is needed for definition of convalescent plasma donors, for confounding SARS-CoV-2 presentation, and for seroprevalence studies. Reliable serologic assays with independent validation are required.MethodsSix SARS-CoV-2 antibody assays from Beckman Coulter, Euroimmun (IgG, IgA), Roche, and Siemens (Centaur, Vista) were assessed for specificity (n = 184), sensitivity (n = 154), and seroconversion in a defined cohort with clinical correlates and molecular SARS-CoV-2 results.ResultsAssay specificity was 99% or greater for all assays except the Euroimmun IgA (95%). Sensitivity at more than 21 days from symptom onset was 84%, 95%, 72%, 98%, 67%, and 96% for Beckman Coulter, Centaur, Vista, Roche, Euroimmun IgA, and Euroimmun IgG, respectively. Average day of seroconversion was similar between assays (8-10 d), with 2 patients not producing nucleocapsid antibodies during hospitalization.ConclusionsSARS-CoV-2 nucleocapsid antibodies may be less reliably produced early in disease than spike protein antibodies. Assessment of convalescent plasma donors at more than 30 days from symptom onset and seroprevalence studies should use assays with defined sensitivity at time points of interest because not all assays detected antibodies reliably at more than 30 days.
Improvements in Neighborhood Socioeconomic Conditions May Improve Resident Diet
Authors: Richardson Andrea S , Collins Rebecca L , Ghosh-Dastidar Bonnie , Ye Feifei , Hunter Gerald P , Baird Matthew D , Schwartz Heather , Sloan Jennifer C , Nugroho Alvin , Beckman Robin , Troxel Wendy M , Gary-Webb Tiffany L , Dubowitz Tamara 
Published: October 2020

Abstract
Neighborhood socioeconomic conditions (NSECs) are associated with resident diet, but most research has been cross-sectional. We capitalized on a natural experiment in Pittsburgh, Pennsylvania, in which 1 neighborhood experienced substantial investments and a sociodemographically similar neighborhood that did not, to examine pathways from neighborhood investments to changed NSECs and changed dietary behavior. We examined differences between renters and homeowners. Data were from a random sample of households (n = 831) in each of these low-income Pittsburgh neighborhoods that were surveyed in 2011 and 2014. Structural equation modeling tested direct and indirect pathways from neighborhood to resident dietary quality, adjusting for individual-level sociodemographics, with multigroup testing by homeowners versus renters. Neighborhood investments were directly associated with improved dietary quality for renters (β = 0.27, 95% confidence interval (CI): 0.05, 0.50) and homeowners (β = 0.51, 95% CI: 0.10, 0.92). Among renters, investments also were associated with dietary quality through a positive association with commercial prices (β = 0.34, 95% CI: 0.15, 0.54) and a negative association with residential prices (β = −0.30, 95% CI: −0.59, −0.004). Among homeowners, we did not observe any indirect pathways from investments to dietary quality through tested mediators. Investing in neighborhoods may support resident diet through improvements in neighborhood commercial environments for renters, but mechanisms appear to differ for homeowners.
Large-scale mass spectrometry data combined with demographics analysis rapidly predicts methicillin resistance in Staphylococcus aureus
Authors: Wang Zhuo , Wang Hsin-Yao , Chung Chia-Ru , Horng Jorng-Tzong , Lu Jang-Jih , Lee Tzong-Yi 
Published: October 2020

Abstract

Background
A mass spectrometry-based assessment of methicillin resistance in Staphylococcus aureus would have huge potential in addressing fast and effective prediction of antibiotic resistance. Since delays in the traditional antibiotic susceptibility testing, methicillin-resistant S. aureus remains a serious threat to human health.

Results
Here, linking a 7 years of longitudinal study from two cohorts in the Taiwan area of over 20 000 individually resolved methicillin susceptibility testing results, we identify associations of methicillin resistance with the demographics and mass spectrometry data. When combined together, these connections allow for machine-learning-based predictions of methicillin resistance, with an area under the receiver operating characteristic curve of &gt;0.85 in both the discovery [95% confidence interval (CI) 0.88–0.90] and replication (95% CI 0.84–0.86) populations.

Conclusions
Our predictive model facilitates early detection for methicillin resistance of patients with S. aureus infection. The large-scale antibiotic resistance study has unbiasedly highlighted putative candidates that could improve trials of treatment efficiency and inform on prescriptions.
To be small and dark is advantageous for gaining heat in mezquite lizards, Sceloporus grammicus (Squamata: Phrynosomatidae)
Authors: González-Morales Juan Carlos , Rivera-Rea Jimena , Moreno-Rueda Gregorio , Bastiaans Elizabeth , Díaz-Albiter Héctor , Díaz de la Vega-Pérez Aníbal Helios , Bautista Amando , Fajardo Víctor 
Published: October 2020

Abstract
Body temperature is important in determining individual performance in ectotherms such as lizards. Environmental temperature decreases with increasing altitude, but nevertheless many lizards inhabit high-altitude environments. The ‘thermal melanism hypothesis’ proposes that a dark dorsal coloration enables darker individuals to heat up faster because they absorb more solar radiation and thus being darker may be advantageous in cold habitats. The aim of the present study is to evaluate how heating rate, cooling rate and net heat gain vary with body size and dorsal skin coloration in Sceloporus grammicus lizards along an altitudinal gradient. We measured these traits multiple times in the same individuals with a radiation heat source and spectrophotometry under laboratory conditions. Our results showed that S. grammicus lizards are smaller and darker at high elevations than at low elevations. In addition, the smallest and darkest lizards showed the greatest heating rate and net heat gain. Therefore, in S. grammicus, we suggest that small body size and dark dorsal coloration provide thermoregulatory benefits in high-altitude environments. Hence, this study supports the thermal melanism hypothesis in a lizard species under varied thermal environments.
Chemokines in hepatocellular carcinoma: a meta-analysis
Authors: Pan Xiongfeng , Kaminga Atipatsa C , Wen Shi Wu , Liu Aizhong 
Published: October 2020

Abstract
Accumulating evidence suggests that chemokines may play an important role in the formation and mediating of the immune microenvironment of hepatocellular carcinoma (HCC). The purpose of this meta-analysis was to explore the differences in blood or tissues chemokines concentrations between HCC patients and controls. Online databases, namely PubMed, Web of Science, Embase and Cochrane Library, were systematically searched for relevant articles published on or before 15 January 2020. Standardized mean differences (SMDs) with corresponding 95% confidence intervals of the chemokines concentrations were calculated as group differences between the HCC patients and the controls. Sixty-five studies met the inclusion criteria for the meta-analysis. Altogether they consisted of 26 different chemokines compared between 5828 HCC patients and 4909 controls; and 12 different chemokines receptors compared between 2053 patients and 2285 controls. The results of meta-analysis indicated that concentrations of CCL20, CXCL8 and CXCR4 in the HCC patients were significantly higher than those in the controls (SMD of 6.18, 1.81 and 1.04, respectively). Therefore, higher concentration levels of CCL20, CXCL8 and CXCR4 may indicate the occurrence of HCC Future research should explore the putative mechanisms underlying this linkage. Meanwhile, attempts can be made to replicate the existing findings in prospective cohort populations and explore the cause-and-effect relationships pertaining to this linkage in order to develop new diagnostic and therapeutic strategies for HCC.
Ireland’s tax games: the challenge of tackling corporate tax avoidance
Authors: Ní Chasaide Nessa 
Published: October 2020

Abstract
The phenomenon of financialization has given rise to new modes of corporate profit accumulation. This includes the creation of global channels for corporate tax avoidance that are embedded in the operations of global firms. Due to a lack of transparency by multinational companies (MNCs), these channels, and their tax implications, are not easily identified or understood. This article sets out the workings of the ‘global tax games’ which operate via intracompany financial transactions alongside the reorganization of the functions of MNCs. The article highlights the consequences for communities of corporate tax avoidance, whereby corporate shareholders and tax haven states profit at the expense of other states and communities. Thus, people living in tax havens, often unknowingly, benefit from tax revenues that should have been paid elsewhere. It offers a case study of Ireland, an understudied case, but which is repeatedly identified as a key node in the global network of corporate tax avoidance. It emphasizes that, in the case of Ireland, a precursor to a potential alternative development path is the acknowledgement of its problematic role.
Investors’ impact on Czech farmland prices: a microstructural analysis
Authors: Curtiss Jarmila , Jelínek Ladislav , Medonos Tomáš , Hruška Martin , Hüttel Silke 
Published: October 2020

AbstractThis paper analyses farmland price formation under investors’ increased demand in the Czech Republic from 2008 to 2014. We adopt a stochastic metafrontier approach to hedonic price modelling and investigate the relative differences in farm and investor pricing. Our results provide evidence of buyer group-specific land valuations, asymmetric price dispersions and their temporal changes. These changes reflect the developments of market microstructures and market-supporting institutions induced by buyer competition. While initially significantly lower due to high market and bargaining power, prices paid by corporate/cooperative farms converged with high-level investor prices over time. Individual and family farms were largely unable to compete at the new price levels.
Risk prediction of atrial fibrillation in the community combining biomarkers and genetics
Authors: Börschel Christin S , Ohlrogge Amelie H , Geelhoed Bastiaan , Niiranen Teemu , Havulinna Aki S , Palosaari Tarja , Jousilahti Pekka , Rienstra Michiel , van der Harst Pim , Blankenberg Stefan , Zeller Tanja , Salomaa Veikko , Schnabel Renate B 
Published: October 2020

Abstract

Aims
Classical cardiovascular risk factors (CVRFs), biomarkers, and common genetic variation have been suggested for risk assessment of atrial fibrillation (AF). To evaluate their clinical potential, we analysed their individual and combined ability of AF prediction.

Methods and results
In N = 6945 individuals of the FINRISK 1997 cohort, we assessed the predictive value of CVRF, N-terminal pro B-type natriuretic peptide (NT-proBNP), and 145 recently identified single-nucleotide polymorphisms (SNPs) combined in a developed polygenic risk score (PRS) for incident AF. Over a median follow-up of 17.8 years, n = 551 participants (7.9%) developed AF. In multivariable-adjusted Cox proportional hazard models, NT-proBNP [hazard ratio (HR) of log transformed values 4.77; 95% confidence interval (CI) 3.66–6.22; P &lt; 0.001] and the PRS (HR 2.18; 95% CI 1.88–2.53; P &lt; 0.001) were significantly related to incident AF. The discriminatory ability improved asymptotically with increasing numbers of SNPs. Compared with a clinical model, AF risk prediction was significantly improved by addition of NT-proBNP and the PRS. The C-statistic for the combination of CVRF, NT-proBNP, and the PRS reached 0.83 compared with 0.79 for CVRF only (P &lt; 0.001). A replication in the Dutch Prevention of REnal and Vascular ENd-stage Disease (PREVEND) cohort revealed similar results. Comparing the highest vs. lowest quartile, NT-proBNP and the PRS both showed a more than three-fold increased AF risk. Age remained the strongest risk factor with a 16.7-fold increased risk of AF in the highest quartile.

Conclusion
The PRS and the established biomarker NT-proBNP showed comparable predictive ability. Both provided incremental predictive value over standard clinical variables. Further improvements for the PRS are likely with the discovery of additional SNPs.