bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing body image in posttreatment oral cavity cancer patients
Authors: Chang Ya‐Lan , Huang Bing‐Shen , Hung Tsung‐Min , Lin Chien‐Yu , Chen Shu‐Ching 
Published: March 2019

AbstractObjectiveThe purpose of this study of posttreatment oral cavity cancer (OCC) patients was to identify factors associated with self‐reported overall body image, perceived attractiveness, and dissatisfaction with body appearance.MethodsThis cross‐sectional study recruited patients with OCC from the outpatient radiation department of a single cancer center in Northern Taiwan. Demographic and clinical characteristics were recorded, and patients were assessed using the Hospital Anxiety and Depression Scale (HADS), the Liebowitz Social Anxiety Scale (LSAS), the University of Washington Quality of Life Scale (UW‐QOL), and the Body Image Scale (BIS).ResultsA total of 168 patients were included in this current study, 76 females and 92 males. Negative overall body image was associated with greater degree of depression, greater fear of social interactions, poorer social‐emotional function, receipt of surgery, female gender, and greater avoidance of social interaction; these factors explained 49.0% of the variance in this outcome measure. Poor perceived attractiveness was associated with greater depression, greater fear of social interaction, and receipt of surgery; these factors explained 25.4% of the variance in this outcome measure. Dissatisfaction with body appearance was associated with poor social‐emotional function, greater fear of social interaction, receipt of reconstruction, advanced cancer stage, and female gender; these factors explained 52.2% of the variance in this outcome measure.ConclusionsThis study of posttreatment OCC patients indicated that depression and fear of social interaction strongly influenced overall body image, perceived attractiveness, and dissatisfaction with body appearance.
Attachment styles, self‐compassion, and psychological adjustment in long‐term breast cancer survivors
Authors: Arambasic Jelena , Sherman Kerry A. , Elder Elisabeth ,   Breast Cancer Network Australia
Published: March 2019

AbstractObjectiveThe increasing numbers of breast cancer survivors highlight the importance of delineating factors that identify women who are at risk of poor psychological adjustment in the long term. In breast cancer survivors, higher attachment anxiety and attachment avoidance have been associated with poorer psychological adjustment. Moreover, there is evidence that self‐compassion, a kind manner of treating oneself during difficulties, is associated with psychological adjustment in this population. This study aimed to extend the association between attachment styles and psychological adjustment to the context of long‐term breast cancer survivors and to determine whether lower self‐compassion underlies this association.MethodsParticipants (N = 82) were recruited through emailed invitations to members of the Review and Survey Group of Breast Cancer Network Australia. Following online consent, participants completed measures assessing attachment styles, self‐compassion, psychological stress, and the perceived negative impact of cancer. Bootstrapping analyses using the PROCESS macro were used to test the significance of indirect effects.ResultsAs hypothesised, correlational analyses revealed that higher attachment anxiety and attachment avoidance were significantly and positively associated with stress and perceived negative impact of cancer. Bootstrapping analyses revealed significant indirect effects of attachment anxiety and attachment avoidance (on both stress and perceived negative impact of cancer) through lower self‐compassion.ConclusionsThese findings suggest that self‐compassion training may be useful for enhancing the psychological adjustment of long‐term breast cancer survivors. Future longitudinal and experimental studies in more diverse samples are needed to confirm causal directionality of these relationships and to expand upon these findings.
Decontamination of raw produce by surface microdischarge and the evaluation of its damage to cellular components
Authors: Luan Pingshan , Bastarrachea Luis J. , Gilbert Andrea R. , Tikekar Rohan , Oehrlein Gottlieb S. 
Published: March 2019

AbstractThe use of surface microdischarge (SMD) for the bacterial decontamination of raw produce was evaluated. With 1 min of SMD treatment, >2 logarithmic reduction in Escherichia coli O157:H7 was consistently observed. The scanning electron microscopy of
E. coli O157:H7 show that SMD damages the cell membrane, leads to cell expansion, and eventually lysis. The attenuated total reflectance‐Fourier‐transform infrared spectroscopy characterization of
E. coli O157:H7 and lipopolysaccharides (LPS) shows that SMD causes (a) the oxidation of cellular components by forming COOH and COO
− groups inside and on the cell wall, and (b) the modification of polysaccharides and phosphorus‐containing groups found in phospholipids and DNA. Further characterization with X‐ray photoelectron spectroscopy suggests SMD mainly modifies the O‐chain and core‐polysaccharide part of LPS.
Prediction of Detonation Velocity and N−O Composition of High Energy C−H−N−O Explosives by Means of Artificial Neural Networks
Authors: Chandrasekaran Nichith , Oommen Charlie , Kumar V. R. Sanal , Lukin Alexander N. , Abrukov Victor S. , Anufrieva Darya A. 
Published: March 2019

AbstractThe possibilities of the application of Data Science Methods in predicting certain macroscopic properties have been examined in energetic compounds. Artificial neural networks, one of the most promising methods of Data Science, has been used for predicting detonation velocity based on a trained set comprising of a large data set containing 104 data points extracted from over 65 explosive compounds and compositions with diverse characteristics and properties. The utility of the method has been demonstrated through validation for over 37 explosive compounds again with diverse characteristics constituting to a data set of 74 data points. The usefulness and versatility of the method is clear as it exhibits similar predictive accuracy on comparison with the similar data derived from two other well‐known empirical models. Such predictive capabilities will be a great tool for engineers and scientists working with high energetic explosives for quick and simple prediction of detonation velocity given the chemical composition and vice versa.
The combination of AroCell TK 210 ELISA with Prostate Health Index or prostate‐specific antigen density can improve the ability to differentiate prostate cancer from noncancerous conditions
Authors: Jagarlamudi Kiran Kumar , Zupan Mojca , Kumer Kristina , Fabjan Teja , Hlebič Gregor , Eriksson Staffan , Osredkar Joško , Smrkolj Tomaž 
Published: March 2019

AbstractBackgroundProstate‐specific antigen (PSA) is an established tumour marker for prostate cancer (PCa). Serum thymidine kinase 1 is a possible new marker for the detection of PCa. The aim of the study was to investigate the diagnostic value of the AroCell TK 210 enzyme‐linked immunosorbent assay (ELISA) together with free PSA, [−2]proPSA, and Prostate Health Index (PHI) in differentiating PCa from benign urological conditions.MethodsSerum samples from 140 patients with PSA values in the range between 2 and 10 µg/L were collected at the Ljubljana University Medical Centre and the Maribor University Medical Centre. Thymidine kinase (TK1) protein levels were determined using the AroCell TK 210 ELISA and PSA‐related parameters analysed with commercial assays.ResultsSerum TK1 protein, total and free PSA, proPSA, PSA density (PSAD), and PHI levels in patients with confirmed PCa were significantly higher than in patients with benign urological conditions (P < 0.05). Overall, the AroCell TK 210 ELISA results showed a significant correlation with PHI (
r = 0.25,
P = 0.0031). Receiver‐operating characteristic curve analyses were used to compare the area under the curve (AUC) of TK 210 ELISA, PHI, and PSA density. For PHI, the AUC was 0.73, comparable to those of TK 210 ELISA (0.67) and PSAD (0.66), with no significant differences in pairwise comparisons (PHI vs TK 210 ELISA
P = 0.32, PHI vs PSAD
P = 0.24, and TK 210 ELISA vs PSAD
P = 0.95). The AUC for the combination of TK1 plus PSAD was significantly higher than those for the individual PSA‐related biomarkers and marginally PHI, while the AUC for the combination of TK1 plus PHI was significantly higher than those for the individual PSA‐related biomarkers except for PHI and marginally for PSAD. Total PSA concentration was the only marker, that was significantly higher in patients with an increasing Gleason grade.ConclusionsThese results suggest that TK1 protein determinations together with PHI or PSAD could be a valuable additional tool in PCa management.
Incentivizing sustainable development: The impact of a recent policy reform on electricity production efficiency in China
Authors: Li Fan , Xie Jiajia , Wang Wenche 
Published: March 2019

AbstractChina's rapid economic growth has tremendously accelerated its energy use, calling for a more sustainable supply of scarce and nonrenewable energy. Using a firm‐level dataset of 30 major Chinese electricity utilities from 2010 to 2014, this paper applies a stochastic frontier analysis to determine the utilities' technical efficiency, incorporating their operational environments related to a recent policy reform to encourage sustainable development. Our main findings are (a) state ownership, consumer density, and a chief executive officer with a science and engineering background are factors that can improve technical efficiency; (b) asset‐related subsidy increases efficiency whereas income‐related subsidy lowers efficiency; and (c) the five largest regional electricity generation firms exhibit above‐average efficiency levels. These results provide evidence that supports the recent Chinese policy reform. The findings also suggest that electricity generation efficiency, which is essential to sustainable economic development, can be improved through performance‐based regulation and incentives.
Clinochlore‐Supported Copper Nanoparticles as Green and Efficient Catalyst for Room‐Temperature Synthesis of 1,2,3‐Triazoles in Water
Authors: Gholinejad Mohammad , Oftadeh Erfan , Sansano José M. 
Published: March 2019

AbstractAcid activated clinochlore supported copper nanoparticles was prepared for the first time by immobilization of copper sulfate on clinochlore followed by in situ chemical reduction. This new material (AA‐Clin@Cu) was characterized using SEM, TEM, TGA, FTIR, XRD, XPS, and EDX and it was applied as an efficient and inexpensive catalyst for the synthesis of 1,2,3‐triazoles in water at room temperature. Using this catalyst, benzylic and aliphatic halides, as well as arylboronic acids were reacted successfully with sodium azide and alkynes. The easy synthesis and air‐stable catalyst was recycled for four runs with small drops in catalytic activity. Characterization of the reused catalyst showed similar pattern to the fresh catalyst.
Superconductivity in Perovskite Ba1−xKxBi0.30Pb0.70O3−δ
Authors: Ma Xing , Firdous Attia , Zhang Lei , Wu Shijie , Zhang Jianxiang , Liu Laijun , Wang Yan , Geng Jinling , Sun Junliang , Li Guobao , Liao Fuhui , Lin Jianhua 
Published: March 2019

AbstractPerovskites Ba1−xKxBi0.30Pb0.70O3−δ (0.0 ≤ x ≤ 0.25) have been synthesized under 660 °C. P1 space group can describe well the structure of this solid solution. The valences are +3 and +5 for bismuth, +2 and +4 for lead in these compounds. The Tczer° (the highest temperature at which the sample shows zero electrical resistivity) of Ba1−xKxBi0.30Pb0.70O3−δ first increases from 8.2 K for x=0.02 to 11.4 K for x=0.15, then decreases about to 10.4 K for x=0.25.
CO2 Adsorption over Carbon Aerogels: the Effect of Pore and Surface Properties
Authors: Liu Qing , Han Yu , Qian Xingchi , He Pingping , Fei Zhaoyang , Chen Xian , Zhang Zhuxiu , Tang Jihai , Cui Mifen , Qiao Xu 
Published: March 2019

AbstractAbstract: In order to investigate the effect of the pore and surface properties of carbon aerogels on carbon dioxide adsorption, carbon aerogels were synthesized at different calcination temperatures. The adsorbents were characterized by various technologies, such as X‐ray diffraction, Raman, N2 sorption, and Fourier transform infrared technologies. It was found that the adsorption sites for CO2 caused by pore and surface of the adsorbent determined the CO2 adsorption abilities. The CA‐800 sample carbonized at 800 °C showed the excellent CO2 adsorption capacity (93.98 cm3⋅g−1 at 0 °C) because of the largest pore volume (1.55 cm3⋅g−1) and the highest relative microporous volume determined by the ratio of microporous volume and total volume (0.31/1.55). The richness of the surface functional groups of the carbon aerogels declined and the surface defects determined by the intensity ratio of D and G bands (ID/IG) increased from 0.7584 (CA‐600) to 1.1029 (CA‐900) gradually as the carbonization temperature increasing. It was used to predict the relationship between the CO2 adsorption capacity and the structure properties by the means of equation fitting. The result showed that the highest ratio of Vmicro/Vtol and the lowest surface defects were crucial to the CO2 adsorption performance.
Electrophoretic Deposition of Zeolites Focused on Attendant Electrodecantation and Subsequent Growth of Electric Current
Authors: Brabec Libor , Plšek Jan , Kočiřík Milan 
Published: March 2019

AbstractDuring electrophoretic deposition (EPD) a significant amount of high‐silica MFI zeolite or silica does not deposit onto the vertical anode because it undergoes fast electrodecantation e. g. in ethanol(96%). The velocity of electrodecantation is high particularly for small silica spheres which do not sediment by gravitation. The other part of dispersed particles is deposited onto the anode and forms a layer whose thickness increases along the depth of immersion. The multiple increase of electric current comes after EPD of a zeolite. Zeolite cations are expelled to the liquid phase by excess protons occurring near the anode by electrolysis of traces of water. The liquid‐phase conductivity prevails over the electrical resistance of the deposited layer. In order to deposit the dispersed zeolite quantitatively, EPD cell with horizontal electrodes is employed. The fraction of Na+ cations expelled from deposited MFI zeolite reaches even 90%. The current increases much more after EPD of Al‐rich zeolite *BEA containing more Na+ cations. The gradient of Na+ concentration across the cut of the zeolite layer is demonstrated.
An Integrated Approach Toward Renewable Energy Storage Using Rechargeable Ag@Ni0.67Co0.33S‐Based Hybrid Supercapacitors
Authors: Nagaraju Goli , Sekhar S. Chandra , Ramulu Bhimanaboina , Yu Jae Su 
Published: March 2019

AbstractSelf‐powered charging systems in conjunction with renewable energy conversion and storage devices have attracted promising attention in recent years. In this work, a prolific approach to design a wind/solar‐powered rechargeable high‐energy density pouch‐type hybrid supercapacitor (HSC) is proposed. The pouch‐type HSC is fabricated by engineering nature‐inspired nanosliver (nano‐Ag) decorated Ni0.67Co0.33S forest‐like nanostructures on Ni foam (nano‐Ag@NCS FNs/Ni foam) as a battery‐type electrode and porous activated carbon as a capacitive‐type electrode. Initially, the core–shell‐like NCS FNs/Ni foam is prepared via a single‐step wet‐chemical method, followed by a light‐induced growth of nano‐Ag onto it for enhancing the conductivity of the composite. Utilizing the synergistic effects of forest‐like nano‐Ag@NCS FNs/Ni foam as a composite electrode, the fabricated device shows a maximum capacitance of 1104.14 mF cm−2 at a current density of 5 mA cm−2 and it stores superior energy and power densities of 0.36 mWh cm−2 and 27.22 mW cm−2, respectively along with good cycling stability, which are higher than most of previous reports. The high‐energy storage capability of HSCs is further connected to wind fans and solar cells to harvest renewable energy. The wind/solar charged HSCs can effectively operate various electronic devices for a long time, enlightening its potency for the development of sustainable energy systems.
Nanocapsules for Programmed Neurotransmitter Release: Toward Artificial Extracellular Synaptic Vesicles
Authors: Sou Keitaro , Le Duc Long , Sato Hirotaka 
Published: March 2019

AbstractNanocapsules present a promising platform for delivering chemicals and biomolecules to a site of action in a living organism. Because the biological action of the encapsulated molecules is blocked until they are released from the nanocapsules, the encapsulation structure enables triggering of the topical and timely action of the molecules at the target site. A similar mechanism seems promising for the spatiotemporal control of signal transduction triggered by the release of signal molecules in neuronal, metabolic, and immune systems. From this perspective, nanocapsules can be regarded as practical tools to apply signal molecules such as neurotransmitters to intervene in signal transduction. However, spatiotemporal control of the payload release from nanocapsules persists as a key technical issue. Stimulus‐responsive nanocapsules that release payloads in response to external input of physical stimuli are promising platforms to enable programmed payload release. These programmable nanocapsules encapsulating neurotransmitters are expected to lead to new insights and perspectives related to artificial extracellular synaptic vesicles that might provide an experimental and therapeutic strategy for neuromodulation and nervous system disorders.
Reliable fragility functions for seismic collapse assessment of reinforced concrete special moment resisting frame structures under near‐fault ground motions
Authors: Yakhchalian Masood , Yakhchalian Mehrzad , Yakhchalian Mansoor 
Published: March 2019

SummaryA collapse fragility function shows how the probability of collapse of a structure increases with increasing ground motion intensity measure (IM). To have a more reliable fragility function, an IM should be applied that is efficient and sufficient with respect to ground motion parameters such as magnitude (M) and source‐to‐site distance (R). Typically, pulse‐like near‐fault ground motions are known by the presence of a velocity pulse, and the period of this pulse (Tp) affects the structural response. The present study investigates the application of different scalar and vector‐valued IMs to obtain reliable seismic collapse fragility functions for reinforced concrete special moment resisting frames (RC SMRFs) under near‐fault ground motions. The efficiency and sufficiency of the IMs as the desirable features of an optimal IM are investigated, and it is shown that seismic collapse assessments by using most of the IMs are biased with respect to Tp. The results show that (Sa(T1), Sa(T1)/DSI) has high efficiency and sufficiency with respect to M, R, Tp, and scale factor for collapse capacity prediction of RC SMRFs. Moreover, the multiobjective particle swarm optimization algorithm is applied to improve the efficiency and sufficiency of some advanced scalar IMs, and an optimal scalar IM is proposed.
Introduction
Authors: Dobrescu Paul 
Published: March 2019

AbstractFollowing a repetitive pattern, the world gets closer then drifts away from the complex issue of development. Development as a process is a constant presence in our lives; nevertheless, the debate surrounding it—especially with regard to its intensity and quality—is more or less articulate. How did different theories and models guide development? Looking at this topic 30 years after the end of the Cold War allows us to identify three distinct periods. The first one ranges from the end of the Cold War to the brink of the 2008–2009 economic crisis, the second covers the next decade of slow recovery, while the third, the one we are currently experiencing, is the least studied and understood of all. Before detailing these time intervals, we need to stress a fundamental fact: during the whole timespan of 30 years, development took place within the more general context of globalization, a setting dramatically different than any other in history.
Health Care and Migration: What Data Can Tell Us of the Hard-to-Measure Impact of Migrants on the European Health Systems
Authors: Caterina Francesca Guidi , Petretto Alessandro 
Published: March 2019

AbstractNowadays migration is one of the key issues in the international as well as in the European political and public debate. It represents a key challenge for modern societies and, together with the adaptation of welfare, has been extensively investigated in social sciences. One of the most compelling challenges consists in the adaptation of health systems to migration’s new needs. The European Union (EU) presents among its member states (MS) highly differentiated situations in terms of healthcare provision models, contribution systems, and integration policies adopted towards foreigners. Compared to other countries with a longer migratory tradition, the differences in access and use of health systems by intra-EU migrants and migrants from third countries are still considerable within EU MS, and further diversified based on migrants’ legal status. Starting from the traditional types of healthcare systems, a more specific purpose will be to establish and measure a systematic relationship between the costs and performance of health systems, migratory care demand, and the migrants’ contribution to the European systems.
“Nous Choisissons L’Europe”: EU’s Economic Development and Current Challenges
Authors: Volintiru Clara , Drăgan Gabriela 
Published: March 2019

AbstractEU member states can no longer remain competitive in isolation given the current interdependencies at the international level. We analyse in this chapter the trade tendencies in the European Union, and we show the relatively large distance between Germany as the European top exporter and importer, and the following economies. We also analyse economic relations between member states that are designed to respond to non-EU challenges. We find that national member states engage in more collaborative and transnational development strategies for the coming years as a survival strategy in the current international context. Finally, we show how dependent the EU states have become on the single market by looking in depth at a case study of the United Kingdom’s trade relations.