bluuebunny/crossref_metadata_2025_split huggingface dataset:
International student mobility and labour market outcomes: an investigation of the role of level of study, type of mobility, and international prestige hierarchies
Authors: Van Mol Christof , Caarls Kim , Souto-Otero Manuel 
Published: April 2020

AbstractOver the last decades, there has been increasing interest in the topic of international student mobility (ISM). However, there is surprisingly little analysis of the ways in which different characteristics and types of short-term ISM or the importance of host education systems and labour markets may affect early career outcomes of formerly mobile graduates. Therefore, in this study we explore, first, the relationship between participation in ISM at the Bachelor and Master level and graduates’ wages and the duration of education-to-work transitions. Second, we investigate variations in ISM labour market outcomes according to the type of mobility: study, internships, or combinations of both. Third, we examine the relationship between labour market outcomes of formerly mobile students and the country of destination’s position in higher education international prestige hierarchies and labour market competitiveness. We use the Dutch National Alumni Survey 2015, a representative survey of higher education graduates in the Netherlands, conducted 1.5 years after graduation. Before controlling for selection into ISM, the results suggest the existence of labour market returns to ISM and that the heterogeneity of ISM experiences matters as labour market outcomes vary according to the level of study, the type of mobility, and the positioning of the country of destination in international prestige hierarchies. However, after controlling for selection into ISM through propensity score matching, the differences in early career outcomes between formerly mobile and non-mobile graduates disappear, suggesting that they cannot be causally attributed to their ISM experience. We explain these results with reference to the characteristics of the Dutch education system and labour market, where restricted possibilities for upward vertical mobility limit returns to ISM in the local labour market.
Thermodynamic properties of calcium alkali phosphates Ca(Na,K)PO4
Authors: Herzel Hannes , Grevel Klaus-Dieter , Emmerling Franziska , Dachs Edgar , Benisek Artur , Adam Christian , Majzlan Juraj 
Published: April 2020

AbstractCalcium alkali phosphates Ca(Na,K)PO4 are main constituents of bioceramics and thermochemically produced phosphorus fertilizers because of their bioavailability. Sparse thermodynamic data are available for the endmembers CaNaPO4 and CaKPO4. In this work, the missing data were determined for the low-temperature phase modifications of the endmembers CaNaPO4 and CaKPO4 and three intermediate Ca(Na,K)PO4 compositions. Standard enthalpy of formation ranges from − 2018.3 ± 2.2 kJ mol−1 to − 2030.5 ± 2.1 kJ mol−1 and standard entropy from 137.2 ± 1.0 J mol−1 K−1 to 148.6 ± 1.0 J mol−1 K−1 from sodium endmember β-CaNaPO4 to potassium endmember β′-CaKPO4. Thermodynamic functions are calculated up to 1400 K for endmembers and the sodium-rich intermediate phase β-Ca(Na0.93K0.07)PO4. Functions above 640 K are extrapolated because of the phase transition from low- to high-temperature phase. Impurities in the synthesized intermediate phases γ-Ca(Na0.4K0.6)PO4 and γ-Ca(Na0.35K0.65)PO4 and one additional phase transition around 500 K impeded the determination of high-temperature thermodynamic functions. In general, data for phase transition temperatures agree with the previously reported phase diagrams.
Objectivity in contexts: withholding epistemic judgement as a strategy for mitigating collective bias
Authors: Koskinen Inkeri 
Published: April 2020

AbstractIn this paper I discuss and develop the risk account of scientific objectivity, which I have recently introduced, contrasting it to some alternatives. I then use the account in order to analyse a practice that is relatively common in anthropology, in the history of science, and in the sociology of scientific knowledge: withholding epistemic judgement. I argue that withholding epistemic judgement on the beliefs one is studying can be a relatively efficient strategy against collective bias in these fields. However, taking into account the criticisms presented against the strategy, I also argue that it is a usable strategy only when the distance between the researchers and their ideas, and the people and ideas being studied, is significant enough.
Disstressassoziierte Erkrankungen im Arztberuf – Wie wirksam sind resilienzfördernde Interventionen?
Authors: Kerwagen Fabian 
Published: April 2020

Zusammenfassung
Hintergrund
Ärztliches Personal ist starkem beruflichem Disstress ausgesetzt. Im Vergleich zur Normalbevölkerung besteht eine erhöhte Prävalenz von disstressassoziierten Erkrankungen wie Depression, Burnout und Suchtverhalten.

Fragestellung
Können resilienzfördernde Interventionen ärztlichen Disstress reduzieren?

Material und Methoden
Systematische Literaturrecherche in den Datenbanken „The Cochrane Library“, „Medline“ (via „PubMed“) und „Embase“ im Zeitraum von 2011–2018. Vergleich von vier randomisiert kontrollierten Studien.

Ergebnisse
Resilienzfördernde Interventionen können ärztlichen Disstress reduzieren. Insbesondere Berufsanfänger/-innen und weibliches ärztliches Personal scheinen davon zu profitieren.

Diskussion
Da bereits Kurzinterventionen einen positiven Effekt zeigen, sollten resilienzfördernde Maßnahmen im beruflichen Alltag von Ärztinnen und Ärzten implementiert werden.
LED illumination and plant growth regulators’ effects on growth and phenolic acids accumulation in Moluccella laevis L. in vitro cultures
Authors: Zielińska Sylwia , Piątczak Ewelina , Kozłowska Weronika , Bohater Aleksandra , Jezierska-Domaradzka Anna , Kolniak-Ostek Joanna , Matkowski Adam 
Published: April 2020

AbstractMoluccella laevis L. (Lamiaceae) is an annual ornamental plant, naturally occurring in the areas of Western and Central Asia (Irano-Turanian area). It is a popular ornamental species, but its phytochemical profile remains poorly studied. This study presents the first report on in vitro cultures of M. laevis. The influence of two types of illumination and plant growth regulators (PGRs) supplementation on the morphogenetic response and the content of phenolic compounds were examined. Shoots were cultured on Murashige and Skoog (MS) solid basal medium. White light or photosynthetic active radiation (PAR) as well as three concentrations of 6-benzylaminopurine (BA) 2, 3 or 4 µM and one of the three auxins: 1-naphthaleneacetic acid (NAA), indole-3-acetic acid (IAA) or 4-amino-3,5,6-trichloropicolinic acid (picloram—PIC) at concentration of 0.5 µM were used for shoot proliferation. The highest number of axillary shoots per explant (3.4) was obtained for shoots grown on MS medium supplemented with 3-µM BA and 0.5-μM NAA under PAR light. However, the effect of PGRs treatment on shoot growth and development was stronger than the influence of light. The phytochemical analysis using Ultra-Performance Liquid Chromatography–Mass Spectrometry allowed identification of four hydroxycinnamic acids (caffeic, ferulic, rosmarinic, chlorogenic) and two cyanidin glycosides (cyanidin 3-O-galactoside, and cyanidin 3-O-malonylglucoside) in shoot clusters and callus tissue.
Effect of the extracellular component of bone marrow mesenchymal stromal cells from healthy donors on hematologic neoplasms and their angiogenesis
Authors: Gladkova Nina , Umezu Tomohiro , Imanishi Satoshi , Kawana Chiaki , Ohyashiki Junko H. , Ohyashiki Kazuma 
Published: April 2020

AbstractBone marrow mesenchymal stromal cells (BM-MSCs) from healthy donors are a promising source of cell therapy. However, their effectiveness in cancer remains less known. This study is the first to evaluate the quality of BM-MSCs obtained from young and elderly healthy volunteers (KNT cells). The KNT cells had normal karyotypes and were positive for MSC markers (CD90, CD73, CD105). When cultured under appropriate conditions, they showed adipogenic or osteogenic potential. Hence, the anti-neoplastic effects of secretory factors [supernatant or extracellular vesicles (EV)] from KNT cells were verified using several neoplastic cells (three multiple myeloma, three myeloid leukemia, and three lymphoma cell lines). The conditioned medium (CM), but not EV, of KNT cells derived from young healthy donors significantly inhibited myeloma and lymphoma cell proliferation, but enhanced myeloid leukemia proliferation. Anti-angiogenesis effect of CM and EV derived from young KNT against hematologic neoplasia-induced angiogenesis was evident and more prominent in CM than in EV but not evident in elderly KNT-derived EV. These findings indicate that the anti-tumor effect of KNT cells depends on the types of hematologic neoplasia, with elements existing in the supernatant and not in EVs. Therefore, BM-MSC may produce soluble factors that affect cell proliferation of neoplasia, causing cell-to-cell communication. The anti-angiogenesis effect of KNT cells depends on the age of BM-MSC donors.
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes
Authors: Zhu Taiyu , Li Kezhi , Chen Jianwei , Herrero Pau , Georgiou Pantelis 
Published: April 2020

AbstractDiabetes is a chronic disease affecting 415 million people worldwide. People with type 1 diabetes mellitus (T1DM) need to self-administer insulin to maintain blood glucose (BG) levels in a normal range, which is usually a very challenging task. Developing a reliable glucose forecasting model would have a profound impact on diabetes management, since it could provide predictive glucose alarms or insulin suspension at low-glucose for hypoglycemia minimisation. Recently, deep learning has shown great potential in healthcare and medical research for diagnosis, forecasting and decision-making. In this work, we introduce a deep learning model based on a dilated recurrent neural network (DRNN) to provide 30-min forecasts of future glucose levels. Using dilation, the DRNN model gains a much larger receptive field in terms of neurons aiming at capturing long-term dependencies. A transfer learning technique is also applied to make use of the data from multiple subjects. The proposed approach outperforms existing glucose forecasting algorithms, including autoregressive models (ARX), support vector regression (SVR) and conventional neural networks for predicting glucose (NNPG) (e.g. RMSE = NNPG, 22.9 mg/dL; SVR, 21.7 mg/dL; ARX, 20.1 mg/dl; DRNN, 18.9 mg/dL on the OhioT1DM dataset). The results suggest that dilated connections can improve glucose forecasting performance efficiently.
Toward a Relational Approach? Common Models of Pious Women's Agency and Pious Feminist Autonomy in Turkey
Authors: Dokumacı Pınar 
Published: April 2020

AbstractThis article reviews the common models of pious women's agency in the literature with respect to pious feminist perceptions in Turkey, and calls for a relational approach to subjectivity and autonomy. After critically assessing individualistic models of pious women's autonomy as well as the main theoretical tenets of Saba Mahmood's landmark study on the women's piety movement in Egypt, I argue that previous models cannot fully explain the second stage of pious subjectivity-formation in the pious feminist narratives in Turkey, which combines habituation with informed choice. In the intersection of applied theory and ethnographic empirical research, my study posits the need for a relational reformulation of these common models that can account for (1) self-constitutive engagement with multiple discursive traditions, and (2) the importance of complex and interrelated webs of relationships. I suggest that Jennifer Nedelsky's relational self and relational autonomy and Kenneth Gergen's relational multi-being might provide a starting point for such an approach.
First record of the American cestodeProteocephalus ambloplitis(Leidy, 1887) (Proteocephalidae) in Europe
Authors: Kvach Y. , Seifertová M. , Carassou L. , Ondračková M. 
Published: April 2020

AbstractHere, we report the first record of pleroceroids of the Nearctic tapewormProteocephalus ambloplitis(Leidy, 1887) in European fresh waters. The plerocercoids were found encapsulated in the internal organs of the invasive pumpkinseedLepomis gibbosus(Linnaeus, 1758) in a pond in Bègles Plage, Bordeaux, France. This parasite species was not observed inL. gibbosuscollected from two nearby localities, Bordeaux Lac and a pond in the Parc de Fontaudin. Species identification was confirmed using molecular data and morphological characteristics.
Camera-trap surveys reveal high diversity of mammals and pheasants in Medog, Tibet
Authors: Li Xueyou , Bleisch William V. , Liu Xinwu , Jiang Xuelong 
Published: April 2020

AbstractMedog County lies within the Eastern Himalaya biodiversity hotspot, but biodiversity in the region remains largely unexplored as there was no permanent road access until 2014. Here we present data from camera-trap surveys in five areas of Medog County, to ascertain the occurrence and occupancy of threatened wildlife species. With a total survey effort of 4,570 trap days we detected 23 medium and large terrestrial mammal species and six pheasant species, 13 of which are categorized as Endangered, Vulnerable or Near Threatened in the IUCN Red List and 19 of which are categorized as regionally threatened on the China Species Red List. Carnivora was the most diverse order, with 15 species recorded. Our study produced the first camera-trap photographic evidence of the Bengal tiger Panthera tigris tigris in China. In addition, we detected the dhole Cuon alpinus, golden cat Catopuma temminckii, marbled cat Pardofelis marmorata and mainland clouded leopard Neofelis nebulosa, highlighting the conservation value of the region. The occupancy of muntjac Muntiacus spp. was high (52.7%), indicating prey for large carnivores was abundant. People, livestock and domestic dogs were also recorded frequently, suggesting the fauna are potentially threatened by human disturbance. In the light of recent development in the region, conservation efforts are urgently required, to prevent prey depletion and habitat degradation in this priority region for conservation.
WHO infant and young child feeding indicators in relation to anthropometric measurements
Authors: Al-Taiar Abdullah , Alqaoud Nawal , Hammoud Majeda S , Alanezi Faheema , Aldalmani Nawal , Subhakaran Monica 
Published: April 2020

AbstractObjective:This study aimed to report the WHO infant and young child feeding (IYCF) indicators from Kuwait and to investigate the associations between these indicators and anthropometric measurements.Design:The Kuwait Nutritional Surveillance System uses observational cross-sectional approach to collects data by face-to-face interviews with mothers or child guardians using a structured questionnaire that was developed based on the WHO IYCF indicators. The weight and height of infants and young children were measured using digital scales in a standardised manner.Setting:Vaccination centres in all governorates (provinces) of Kuwait.Participants:Infants and young Kuwaiti children aged 0–23 months (N 5839).Results:The prevalence of exclusive breastfeeding and age-appropriate breastfeeding were 8·0 and 7·4 %, respectively. The prevalence of stunting and wasting was 7·5 and 2·4 %, respectively, while the prevalence of overweight and obesity was 6·5 and 1·6 %, respectively. In the multivariable analysis, exclusive breastfeeding and age-appropriate breastfeeding were more common in children with stunted growth (AOR 1·71 (95 % CI 1·08, 2·70; P = 0·021) and 1·44 (95 % CI 1·01, 2·06; P = 0·046), respectively). The introduction of solid/semisolid or soft foods was inversely associated with stunting (AOR 0·52; 95 % CI 0·30, 0·90; P = 0·021). Only age-appropriate breastfeeding was inversely associated with overweight (AOR 0·62; 95 % CI 0·39, 0·98; P = 0·043).Conclusion:Our findings showed that indicators of breastfeeding are low in Kuwait. Our findings suggest that the associations between different WHO IYCF indicators and stunting as well as overweight is complex, which highlights the need for a better understanding of WHO IYCF indicators in both low- and high-income countries.
‘Praise the Lord! We are a Musical Nation’: The Welsh Working Classes and Religious Singing
Authors: Barlow Helen 
Published: April 2020

The title quotation from Under Milk Wood encapsulates a widely held belief in the innate musicality of the Welsh and its religious roots. These roots were put down deeply during the nineteenth century, in a huge expansion of choral and congregational singing across Wales and particularly in the industrial communities. This development has been described as ‘a democratic popular choral culture rooted in the lives of ordinary people’, and central to it was the cymanfa ganu, the mass hymn-singing festival. Choral and congregational singing, typified by the cymanfa ganu, underpinned the perception of Wales by the Welsh and by many non-Welsh people as ‘the land of song’.Alongside this phenomenon ran the tradition of the plygain, a Welsh Christmas carol service. While the cymanfa developed in nonconformist chapels in the mid to late nineteenth century, and on a large – often massive – scale, the plygain is a tradition dating from a period much further back, when Welsh Christianity was Catholic; it belonged to agricultural workers rather than the industrial communities; and the singers sang in much smaller groups – often just twos or threes.This article describes the nature and origins of these contrasting traditions, and looks at the responses of listeners both Welsh and non-Welsh, and the extent to which they perceived these practices as expressive of a peculiarly Welsh identity. It also considers some of the problems of gathering evidence of working-class responses, and how far the sources give an insight into working-class listening experiences.
Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling
Authors: Ramgraber Maximilian , Camporese Matteo , Renard Philippe , Salandin Paolo , Schirmer Mario 
Published: April 2020

AbstractThe increasing use of wireless sensor networks and remote sensing permits real‐time access to environmental observations. Data assimilation frameworks tap into such data streams to autonomously update and gradually improve numerical models. In hydrogeology, such methods are relevant in areas of long‐term interest in water quality and quantity, for example, in drinking water production. Unfortunately, accurate hydrogeological predictions often demand a degree of geological realism, which is difficult to reconcile with the operational limitations of many data assimilation frameworks. Alluvial aquifers, for example, are sometimes characterized by paleo‐channels of unknown extent and properties, which may act as preferential flow paths. Gradually optimizing such fields in real‐time or quasi‐real‐time settings is a formidable task. Besides subsurface properties, ill‐specified model forcings are a further source of predictive bias, which an optimizer could learn to compensate. In this study, we explore the use of a quasi‐online optimizer based on the iterative batch importance sampling framework for a groundwater model of a field site near Valdobbiadene, Italy. This site is characterized by the presence of paleo‐channels and heavily exploited for drinking water production and irrigation. We use Markov chain Monte Carlo steps to explore new parameterizations while maintaining consistency between states and parameters as well as conformance to a multipoint statistics training image. We also optimize a preprocessor designed to compensate for potential bias in the model forcing. We achieve promising and geologically consistent quasi‐real‐time optimization, albeit at the loss of parameter uncertainty.
Sedimentological Evidence for Pronounced Glacial‐Interglacial Climate Fluctuations in NE Tibet in the Latest Pliocene to Early Pleistocene
Authors: Lu Yin , Dewald Nico , Koutsodendris Andreas , Kaboth‐Bahr Stefanie , Rösler Wolfgang , Fang Xiaomin , Pross Jörg , Appel Erwin , Friedrich Oliver 
Published: April 2020

AbstractThe intensification of Northern Hemisphere glaciation (iNHG) and uplift of the Tibetan Plateau have been argued to be among the main drivers of climate change in midlatitude Central Asia during the Pliocene/Pleistocene. While most proxy records that support this hypothesis are from regions outside the Tibetan Plateau (such as from the Chinese Loess Plateau), detailed paleoclimatic information for the plateau itself during that time has yet remained elusive. Here we present a temporally highly resolved (~500 years) sedimentological record from the Qaidam Basin situated on the northeastern Tibetan Plateau that shows pronounced glacial‐interglacial climate variability during the interval from 2.7 to 2.1 Ma. Glacial (interglacial) intervals are generally characterized by coarser (finer) grain size, minima (maxima) in organic matter content, and maxima (minima) in carbonate content. Comparison of our results with Earth's orbital parameters and proxy records from the Chinese Loess Plateau suggests that the observed climate fluctuations were mainly driven by changes in the Siberian High/East Asian winter monsoon system as a response to the iNHG. They are further proposed to be enhanced by the topography of the Tibetan Plateau and its impact on the position and intensity of the westerlies.
An Adjoint Sensitivity Model for Transient Sequentially Coupled Radionuclide Transport in Porous Media
Authors: Hayek Mohamed , RamaRao Banda S. , Lavenue Marsh 
Published: April 2020

AbstractWe present an efficient mathematical/numerical adjoint sensitivity analysis model for transient radionuclide transport through heterogeneous porous media. This work extends our previous research on radionuclide transport in a steady‐state regime. Both continuous and discrete adjoint approaches have been developed in this current research. The mathematical equations associated with the adjoint system and required for the continuous approach have been derived. The methodology for deriving the discrete adjoint solution is also presented.For the homogeneous case, the adjoint system for radionuclide decay chain is solved analytically. The four‐member decay chain (238Pu → 234U → 230Th → 226Ra) is considered for validation. The validity of the analytical adjoint sensitivity model has been shown using two illustrative examples associated with two performance measures. The analytical adjoint states are compared with calculated numerical results and show excellent agreements. The sensitivity coefficients are also computed numerically using the perturbation method. The numerical sensitivity coefficients successfully reproduce the analytically derived sensitivities based on adjoint states. The adjoint model has been coupled with a derivative‐based global sensitivity method and applied to a real field case involving the performance assessment of a site currently being considered for underground nuclear storage in northern Switzerland, Zürich Nordost. An illustrative case study of spent fuel and high‐level waste (SF/HLW) repository involving 6 radionuclides and 48 parameters has been considered for identifying the most important parameters with respect to the maximum radionuclide dose at the interface geosphere/biosphere. Based on the results of sensitivity analysis, the uncertainty of the maximum radionuclide dose has been performed using Monte Carlo simulations.