Results 11 to 20 of about 39,141 (198)

Psychometric properties of the 45-item supportive care needs survey—partners and caregivers - Dutch (SCNS-P&C45-D) in partners of patients with breast cancer

Journal of Patient-Reported Outcomes, 2019
Objective To test the psychometric properties of the Dutch 45-item Supportive Care Needs Survey—Partners and Caregivers (SCNS-P&C45-D) among partners of women with breast cancer living in the Netherlands. Methods In this cross-sectional validation study,
Mark J. A. Rietveld, Esmee J. Peters, Olga Husson, Floortje K. Ploos van Amstel, Y. Kamm, Sieta Sijtsema, Marieke Diepenbroek, Josca Heier, Celine Zoetbrood, Marijke Zielstra, Sylvie D. Lambert, Judith B. Prins, Petronella B. Ottevanger   +12 more
doaj   +1 more source

Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor

Economics and Business Review, 2020
The main goal of this research is to analyse the investment benefits from an incorporation of the volatility exposure to the diversified portfolio from the perspective of a Polish investor.
Latoszek Michał, Ślepaczuk Robert
doaj   +1 more source

Dichloridobis(di-tert-butylmethylphosphine oxide-[kappa]O)diphenyltin(IV) [PDF]

, 2008
The complete molecule of the title compound, [Sn(C6H5)2Cl2(C9H21OP)2], is generated by crystallographic inversion symmetry, the Sn atom is located on a special position of site symmetry \overline{1}.
Bolte, Michael, Lerner, Hans-Wolfram, Müller, Manuela   +2 more
core   +2 more sources

Phylogeography and phylogeny of Rhinoviruses collected from Severe Acute Respiratory Infection (SARI) cases over successive epidemic periods in Tunisia.

PLoS ONE, 2021
Rhinoviruses (RV) are a major cause of Severe Acute Respiratory Infection (SARI) in children, with high genotypic diversity in different regions. However, RV type diversity remains unknown in several regions of the world.
Sondes Haddad-Boubaker, Cherif Ben Hamda, Kais Ghedira, Khaoula Mefteh, Aida Bouafsoun, Ilhem Boutiba-Ben Boubaker, Amin Slim, Khaled Menif, Henda Triki, Mohamed Ali Ben Hadj Kacem, Hanen Smaoui   +10 more
doaj   +1 more source

[my]-Hydroxido-bis[(2,20-bipyridine)-tricarbonylrhenium(I)] perrhenate [PDF]

, 2008
The title compound, [Re2(OH)(C10H8N2)2(CO)6][ReO4], is a mixed-valence rhenium compound containing discrete anions and cations. The ReI atoms are in a slightly distorted octahedral environment, whereas the ReVII atoms show the typical tetrahedral ...
Bolte, Michael, Lerner, Hans-Wolfram, Morawitz, Thorsten, Ruth, Kai   +3 more
core   +2 more sources

4-[Bis(3-phenyl-1H-pyrazol-1-yl)meth-yl]benzene-1,2-diol [PDF]

, 2011
The title compound, C25H20N4O2, is a ditopic ortho-hydro­quinone-based bis­(pyrazol-1-yl)methane ligand. The dihedral angles between the planes of the pyrazole rings and their attached phenyl rings are 17.4 (3) and 5.9 (4)°.
Blasberg, Florian, Lerner, Hans-Wolfram, Bolte, Michael   +2 more
core   +2 more sources

Neural Network Application to Support Regression Model in Forecasting Single-Sectional Demand for Telecommunications Services

Folia Oeconomica Stetinensia, 2018
The aim of this research study is to test the effectiveness of the single-sectional integrated model, in which a neural network is applied to support a regression, as a consistent tool for short-term forecasting of hourly demand (in sec.) for ...
Kaczmarczyk Paweł
doaj   +1 more source

Comparing classification algorithms for prediction on CROBEX data

Croatian Review of Economic, Business and Social Statistics, 2020
The main objective of this analysis is to evaluate and compare the various classification algorithms for the automatic identification of favourable days for intraday trading using the Croatian stock index CROBEX data.
Jerić Silvija Vlah
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Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period

Business Systems Research, 2020
Background: This paper addresses the problem of products’ terminal call rate (TCR) prediction during the warranty period. TCR refers to the information on the amount of funds to be reserved for product repairs during the warranty period.
Ferencek Aljaž, Kofjač Davorin, Škraba Andrej, Sašek Blaž, Borštnar Mirjana Kljajić   +4 more
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Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress

Croatian Review of Economic, Business and Social Statistics, 2023
The prediction of financial distress has emerged as a significant concern over a prolonged period spanning more than half a century. This subject has garnered considerable attention owing to the precise outcomes derived from its predictive models.
Sabek Amine
doaj   +1 more source