bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bewust alleenstaande moeders: ouder-kindrelaties, sociale steunnetwerken en het welzijn van hun kinderen
Authors: Brewaeys Mathilde , Bos Henny 
Published: February 2019

Abstract

Single-mothers-by-choice: parent-child relationships, social support networks and the well-being of their children.

This study made a comparison between families of single mothers by choice (SMC) and heterosexual two parent families. 69 mothers from SMC families and 59 mothers from two parent families with at least one child between the ages of one and a half and six participated in the study. Mothers filled out questionnaires about the parent child relationship (emotional involvement and parental stress), the relationship of the parent with the environment (social support) and the psychological wellbeing of children. Differences were found for social support between family types with SMC receiving and wanting more social support than mothers from two parent families. No differences were found for emotional involvement or parental stress. Children’s psychological wellbeing didn’t differ between family types. Findings revealed that differences in family structure do not influence children’s psychological wellbeing.
Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments
Authors: Hegdahl Trine J. , Engeland Kolbjørn , Steinsland Ingelin , Tallaksen Lena M. 
Published: February 2019

Abstract. In this study, we used meteorological ensemble forecasts
as input to hydrological models to quantify the uncertainty in forecasted
streamflow, with a particular focus on the effect of temperature forecast
calibration on the streamflow ensemble forecast skill. In catchments with
seasonal snow cover, snowmelt is an important flood-generating process.
Hence, high-quality air temperature data are important to accurately
forecast streamflows. The sensitivity of streamflow ensemble forecasts to
the calibration of temperature ensemble forecasts was investigated using
ensemble forecasts of temperature from the European Centre for Medium-Range Weather Forecasts (ECMWF) covering a period of nearly
3 years, from 1 March 2013 to 31 December 2015. To improve the skill and reduce
biases of the temperature ensembles, the Norwegian Meteorological Institute
(MET Norway) provided parameters for ensemble calibration, derived using a standard
quantile mapping method where HIRLAM, a high-resolution regional weather
prediction model, was used as reference. A lumped HBV (Hydrologiska Byråns Vattenbalansavdelning)
model, distributed on 10 elevation zones, was used to estimate the streamflow. The results show
that temperature ensemble calibration affected both temperature and
streamflow forecast skill, but differently depending on season and region.
We found a close to 1:1 relationship between temperature and streamflow
skill change for the spring season, whereas for autumn and winter large
temperature skill improvements were not reflected in the streamflow
forecasts to the same degree. This can be explained by streamflow being less
affected by subzero temperature improvements, which accounted for the
biggest temperature biases and corrections during autumn and winter. The
skill differs between regions. In particular, there is a cold bias in the
forecasted temperature during autumn and winter along the coast, enabling a
large improvement by calibration. The forecast skill was partly related to
elevation differences and catchment area. Overall, it is evident that
temperature forecasts are important for streamflow forecasts in climates
with seasonal snow cover.
Brief communication: Remotely piloted aircraft systems for rapid emergency response: road exposure to rockfall in Villanova di Accumoli (central Italy)
Authors: Santangelo Michele , Alvioli Massimiliano , Baldo Marco , Cardinali Mauro , Giordan Daniele , Guzzetti Fausto , Marchesini Ivan , Reichenbach Paola 
Published: February 2019

Abstract. The use of remotely piloted aircraft systems (RPASs) in geosciences is often
aimed at the acquisition of an image sequence to produce digital models and
orthophotographs of the topographic surface. The technology can be applied
for rockfall hazard and risk assessment. To study rockfalls, an approach
consists in the application of numerical models for the computation of
rockfall trajectories. Data required for such simulations include digital
terrain models, location of the instability source areas, and the mechanical
properties of the terrain. In this article, we present an analysis of the
earthquake-triggered rockfall that occurred along the SP18 in Villanova di
Accumoli (Lazio, central Italy) during the seismic sequence that started on
24 August 2016. A survey with a multicopter was carried out to obtain a
surface model of the terrain and identify and characterize the
source areas and other instable blocks in areas not accessible in the
field. The investigated area extends for 6500 m2 and was covered by
161 photographs that were used to obtain an orthophoto with a ground
resolution of 2.5 cm and a digital surface model with a ground resolution
of 20 cm × 20 cm, which was processed and fused with GNSS
real-time kinematic
data. To obtain a map of potential rockfall trajectories, we run the
numerical model STONE, using as origin of the boulders both source areas
mapped in the field and pixels with a slope angle above a selected threshold.
Results showed that only the part of the road SP18 already affected by the
rockfall was exposed to further rockfall impacts. In particular, it was
observed that 29.2 % (i.e. 12 123) of the 41 500 simulated trajectories
may potentially reach or cross this tract of the road. Based on these data,
limited protection measures were suggested. The combined use of RPAS data,
fused with ground GPS points, an accurate geomorphological survey, and
terrain static and dynamic parameters from the literature allows fast,
low-cost, and replicable rockfall numerical modelling useful for emergency
response and adoption of proper protection measures.
Real-time experimental control using network-based parallel processing
Authors: Kim Byounghoon , Kenchappa Shobha Channabasappa , Sunkara Adhira , Chang Ting-Yu , Thompson Lowell , Doudlah Raymond , Rosenberg Ari 
Published: February 2019

Modern neuroscience research often requires the coordination of multiple processes such as stimulus generation, real-time experimental control, as well as behavioral and neural measurements. The technical demands required to simultaneously manage these processes with high temporal fidelity is a barrier that limits the number of labs performing such work. Here we present an open-source, network-based parallel processing framework that lowers this barrier. The Real-Time Experimental Control with Graphical User Interface (REC-GUI) framework offers multiple advantages: (i) a modular design that is agnostic to coding language(s) and operating system(s) to maximize experimental flexibility and minimize researcher effort, (ii) simple interfacing to connect multiple measurement and recording devices, (iii) high temporal fidelity by dividing task demands across CPUs, and (iv) real-time control using a fully customizable and intuitive GUI. We present applications for human, non-human primate, and rodent studies which collectively demonstrate that the REC-GUI framework facilitates technically demanding, behavior-contingent neuroscience research.Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (<xref ref-type="decision-letter" rid="SA1">see decision letter</xref>).
Nursing knowledge of and attitude in cardiopulmonary arrest: cross-sectional survey analysis
Authors: Tíscar-González Verónica , Blanco-Blanco Joan , Gea-Sánchez Montserrat , Rodriguez Molinuevo Ascensión , Moreno-Casbas Teresa 
Published: February 2019

Background
Nurses are often the first to activate the chain of survival when a cardiorespiratory arrest happens. That is why it is crucial that they keep their knowledge and skills up-to-date and their attitudes to resuscitation are very important. The main aim of this study was to analyse whether the level of theoretical and practical understanding affected the attitudes of nursing staff.

Methods
A questionnaire was designed using the Delphi technique (three rounds). The questionnaire was adjusted and it was piloted on a test-retest basis with a convenience sample of 30 registered nurses. The psychometric characteristics were evaluated using a sample of 347 nurses using Cronbach’s alpha. Descriptive analysis was performed to describe the sociodemographic variables and Spearman’s correlation coefficient to assess the relationship between two scale variables. Pearson’s chi-squared test has been used to study the relationship between two categorical variables. Wilcoxon Mann Whitney test and the Kruskal–Wallis test were performed to establish relationships between the demographic/work related characteristics and the level of understanding.

Results
The Knowledge and Attitude of Nurses in the Event of a Cardiorespiratory Arrest (CAEPCR) questionnaire comprised three sections: sociodemographic information, theoretical and practical understanding, and attitudes of ethical issues. Cronbach’s alpha for the internal consistency of the attitudes questionnaire was 0.621. The knowledge that nurses self-reported with regard to cardiopulmonary arrest directly affected their attitudes. Their responses raised a number of bioethical issues.

Conclusions
CAEPCR questionnaire is the first one which successfully linked knowledge of cardiopulmonary resuscitation to the attitudes towards ethical issues Health policies should ensure that CPR training is mandatory for nurses and all healthcare workers, and this training should include the ethical aspects.
An experimental examination of the effects of alcohol consumption and exposure to misleading postevent information on remembering a hypothetical rape scenario
Authors: Flowe Heather D. , Humphries Joyce E. , Takarangi Melanie K. , Zelek Kasia , Karoğlu Nilda , Gabbert Fiona , Hope Lorraine 
Published: February 2019

SummaryWe experimentally examined the effects of alcohol consumption and exposure to misleading postevent information on memory for a hypothetical interactive rape scenario. We used a 2 beverage (alcohol vs. tonic water) × 2 expectancy (told alcohol vs. told tonic) factorial design. Participants (N = 80) were randomly assigned to conditions. They consumed alcohol (mean blood alcohol content = 0.06%) or tonic water before engaging in the scenario. Alcohol expectancy was controlled by telling participants they were consuming alcohol or tonic water alone, irrespective of the actual beverage they were consuming. Approximately a week later, participants were exposed to a misleading postevent narrative and then recalled the scenario and took a recognition test. Participants who were told that they had consumed alcohol rather than tonic reported fewer correct details, but they were no more likely to report incorrect or misleading information. The confidence–accuracy relationship for control and misled items was similar across groups, and there was some evidence that metacognitive discrimination was better for participants who were told that they had consumed alcohol compared with those told they had tonic water. Implications for interviewing rape victims are discussed.
Cancer Cell Membrane Camouflaged Nanoprobe for Catalytic Ratiometric Photoacoustic Imaging of MicroRNA in Living Mice
Authors: Zhang Kai , Meng Xiangdan , Yang Zhou , Cao Yu , Cheng Yaru , Wang Dongdong , Lu Huiting , Shi Zhuojie , Dong Haifeng , Zhang Xueji 
Published: February 2019

AbstractHerein, a cancer cell (MCF‐7 cell) membrane‐encapsulated dendritic mesoporous silica nanoparticle simultaneously functionalized with DNA‐photoacoustic (DNA‐PA) probes and glutathione (GSH)‐responsive DNA fuel strands for PA imaging of tumor‐related miRNA in living mice with signal amplification ability is developed. It is demonstrated that one target miRNA can trigger disassembly of multiple PA fluorophore probes from the quencher with the aid of GSH‐responsive DNA fuel strands via the entropy‐driven process, resulting remarkable amplified change of PA signal ratio. Using oncogenic miRNA‐21 as a model, a linear relationship between miRNA‐21 concentrations and PA ratio in a dynamic range from 10 × 10−12 m to 100 × 10−9 m and a limit of detection down to 11.69 × 10−12 m are established. The accurate PA signal observation related to miRNA‐21s in the tumor area in living mice is demonstrated, and the PA signal ratio increases significantly via the injection of miRNA‐21. It is anticipated that the catalytic ratiometric PA imaging system can be applied to an array of molecular detection in living system by rational detection probe design.
Reduced dynamic modeling approach for rectification columns based on compartmentalization and artificial neural networks
Authors: Schäfer Pascal , Caspari Adrian , Kleinhans Kerstin , Mhamdi Adel , Mitsos Alexander 
Published: February 2019

AbstractThe availability of reduced‐dimensional, accurate dynamic models is crucial for the optimal operation of chemical processes in fast‐changing environments. Herein, we present a reduced modeling approach for rectification columns. The model combines compartmentalization to reduce the number of differential equations with artificial neural networks to express the nonlinear input–output relations within compartments. We apply the model to the optimal control of an air separation unit. We reduce the size of the differential equation system by 90% while limiting the additional error in product purities to below 1 ppm compared to a full‐order stage‐by‐stage model. We demonstrate that the proposed model enables savings in computational times for optimal control problems by ~95% compared to a full order and ~99% to a standard compartment model. The presented model enables a trade‐off between accuracy and computational efficiency, which is superior to what has recently been reported for similar applications using collocation‐based reduction approaches.
Mo (CO)6‐assisted Pd‐supported magnetic graphene oxide‐catalyzed carbonylation‐cyclization as an efficient way for the synthesis of 4(3H)‐quinazolinones
Authors: Bahadorikhalili Saeed , Ansari Samira , Hamedifar Haleh , Ma'mani Leila , Babaei Mohsen , Eqra Rahim , Mahdavi Mohammad 
Published: February 2019

In this paper, a novel catalyst is introduced based on the immobilization of palladium on modified magnetic graphene oxide nanoparticles. The catalyst is characterized by several methods, including transmission electron microscopy, scanning electron microscopy, X‐ray fluorescence, vibrating‐sample magnetometer, Fourier transform‐infrared and dynamic light scattering (DLS) analysis. The activity of the catalyst was investigated in the synthesis of 4(3H)‐quinazolinones via Pd‐catalyzed carbonylation‐cyclization of N‐(2‐bromoaryl) benzimidamides by Mo (CO)6. The Mo (CO)6 is used as a carbon monoxide source for performing the reaction under mild conditions. The catalyst showed good reusability, and no change in activity was observed after 10 cycles of recovery.
Physicochemical, Antioxidative, and Sensory Properties of Refined Rapeseed Oils
Authors: Szydłowska‐Czerniak Aleksandra , Tułodziecka Agnieszka , Momot Monika , Stawicka Barbara 
Published: February 2019

AbstractPhysicochemical characteristics, antioxidant capacity (AC), and sensory quality of rapeseed oils available on the Polish market were analyzed and compared. The fatty acid composition (saturated fatty acids = 6.91–7.58%, monounsaturated fatty acids = 64.14–66.14%, and polyunsaturated fatty acids = 27.22–30.17%), color (T420 = 54.5–83.8%), amounts of free fatty acids (0.02–0.07%), primary (PV = 0.04–2.04 meq O2 kg−1) and secondary (AV = 1.02–3.21) oxidation products, phosphorus (0.38–1.62 mg kg−1), chlorophyll (0.002–0.068 mg kg−1), and polycyclic aromatic hydrocarbons (Σ4PAH = 0.00–2.50 μg kg−1) in the commercial rapeseed oils meet the requirements of the European Food Regulation and Codex Alimentarius standards. Moreover, total phenolic content (TPC = 40.3–467.9 mg SA kg−1) in the studied oils significantly differs from each other. However, the AC of rapeseed oils was analyzed using the novel iron oxide nanoparticle‐based (IONP = 5552.1 − 18,510.2 μmol TE/100 g) method and the modified ferric reducing antioxidant power (FRAP = 55.7–280.3 μmol TE/100 g), cupric reducing AC (CUPRAC = 79.6–784.0 μmol TE/100 g), 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH = 185.7–516.7 μmol TE/100 g), and 2,2′‐azinobis‐3‐ethylbenzothiazoline‐6‐sulfonic acid (ABTS = 465.6–2142.6 μmol TE/100 g) assays. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied for discrimination of the refined rapeseed oils based on fatty acid composition, physicochemical parameters, AC, and sensory properties.
Prioritization of PLEC and GRINA as Osteoarthritis Risk Genes Through the Identification and Characterization of Novel Methylation Quantitative Trait Loci
Authors: Rice Sarah J. , Tselepi Maria , Sorial Antony K. , Aubourg Guillaume , Shepherd Colin , Almarza David , Skelton Andrew J. , Pangou Ioanna , Deehan David , Reynard Louise N. , Loughlin John 
Published: February 2019

ObjectiveTo identify methylation quantitative trait loci (mQTLs) correlating with osteoarthritis (OA) risk alleles and to undertake mechanistic characterization as a means of target gene prioritization.MethodsWe used genome‐wide genotyping and cartilage DNA methylation array data in a discovery screen of novel OA risk loci. This was followed by methylation, gene expression analysis, and genotyping studies in additional cartilage samples, accompanied by in silico analyses.ResultsWe identified 4 novel OA mQTLs. The most significant mQTL contained 9 CpG sites where methylation correlated with OA risk genotype, with 5 of the CpG sites having P values <1 × 10−10. The 9 CpG sites reside in an interval of only 7.7 kb within the PLEC gene and form 2 distinct clusters. We were able to prioritize PLEC and the adjacent gene GRINA as independent targets of the OA risk. We identified PLEC and GRINA expression QTLs operating in cartilage, as well as methylation‐expression QTLs operating on the 2 genes. GRINA and PLEC also demonstrated differential expression between OA hip and non‐OA hip cartilage.ConclusionPLEC encodes plectin, a cytoskeletal protein that maintains tissue integrity by regulating intracellular signaling in response to mechanical stimuli. GRINA encodes the ionotropic glutamate receptor TMBIM3 (transmembrane BAX inhibitor 1 motif–containing protein family member 3), which regulates cell survival. Based on our results, we hypothesize that in a joint predisposed to OA, expression of these genes alters in order to combat aberrant biomechanics, and that this is epigenetically regulated. However, carriage of the OA risk–conferring allele at this locus hinders this response and contributes to disease development.
Doping the Backbone of π‐Conjugated Polymers with Tricoordinate Boron: Synthetic Strategies and Emerging Applications
Authors: Helten Holger 
Published: February 2019

AbstractThe doping of π‐conjugated organic compounds with trivalent boron atoms produces materials with intriguing properties and functions that result from the interaction of the π‐electron system with the vacant p orbital on boron. This offers unique opportunities in various applications such as organic (opto)electronics, biomedical imaging, and sensors for physiologically relevant anions or amines, as demonstrated by numerous examples on the molecular scale. Recently, the B‐doping strategy has been expanded to polymer chemistry with a view to benefit from the best of both worlds. Herein, recent advances in the synthesis of π‐conjugated polymers doped with tricoordinate boron in the backbone are reviewed. Selected applications are described where these functional materials have already been successfully implemented.
Soluble immune checkpoint molecules: Serum markers for cancer diagnosis and prognosis
Authors: Chakrabarti Rituparna , Kapse Bhavya , Mukherjee Gayatri 
Published: February 2019

AbstractBackgroundWith the recent advances in the understanding of the interaction of the immune system with developing tumor, it has become imperative to consider the immunological parameters for both cancer diagnosis and disease prognosis. Additionally, in the era of emerging immunotherapeutic strategies in cancer, it is very important to follow the treatment outcome and also to predict the correct immunotherapeutic strategy in individual patients. There being enormous heterogeneity among tumors at different sites or between primary and metastatic tumors in the same individual, or interpatient heterogeneity, it is very important to study the tumor‐immune interaction in the tumor microenvironment and beyond. Importantly, molecular tools and markers identified for such studies must be suitable for monitoring in a noninvasive manner.Recent findingsRecent studies have shown that the immune checkpoint molecules play a key role in the development and progression of tumors. In‐depth studies of these molecules have led to the development of most of the cancer immunotherapeutic reagents that are currently either in clinical use or under different phases of clinical trials. Interestingly, many of these cell surface molecules undergo alternative splicing to produce soluble isoforms, which can be tracked in the serum of patients.ConclusionsSeveral studies demonstrate that the serum levels of these soluble isoforms could be used as noninvasive markers for cancer diagnosis and disease prognosis or to predict patient response to specific therapeutic strategies.
Generation of pseudo random number sequence from discrete oscillating samples of equally spread objects and application for stream cipher system
Authors: K.B. Sudeepa , Aithal Ganesh 
Published: February 2019

SummaryThe demand on security privileged information has widely increased due to the sensitivity of the exchanged information over public communication channels. Nowadays, almost all organizations, mainly, business, financial, and government related areas, and also other regions are computerized, and sometimes, the data will be highly confidential. Since some areas dealing with confidential data, it is very much essential to provide the security for the data to avoid unauthorized access. Multimedia data security and security related issues have attracted many researchers towards it. Cryptography is necessary to protect the confidential information transmitting over the network. The strength of the cryptographic system, especially, stream cipher, is not only depending upon its encryption/decryption algorithm but also depends upon the randomness properties of the key sequence such as length, uniformity, independence, etc. In this work, a novel method of generating the pseudo random number that is based on the discrete equally spread oscillating points viewed orthogonally as an envelope has been considered for the generation. Depending on the number of samples, it is possible to get the higher length of the sequence. The random patterns generated by the discrete points of a moving wave are used to generate non binary random numbers. These numbers are used as key in stream cipher system. These are having greater advantages like one time padding to achieve perfect security in cryptographic application. The same non binary key sequence generated is applied for the cryptographic application, and the security parameters of the result obtained from cryptographic applications are also evaluated to observe the strength of security level.