Institution
University of Ljubljana
Education•Ljubljana, Slovenia•
About: University of Ljubljana is a education organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 17210 authors who have published 47013 publications receiving 1082684 citations. The organization is also known as: Univerza v Ljubljani.
Papers published on a yearly basis
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Kent State University1, Tel Aviv University2, Massachusetts Institute of Technology3, California State University, Los Angeles4, University of Glasgow5, Argonne National Laboratory6, Prince Mohammad bin Fahd University7, Syracuse University8, University of Maryland, College Park9, Florida International University10, Thomas Jefferson National Accelerator Facility11, Seoul National University12, University of Virginia13, Rutgers University14, Kharkov Institute of Physics and Technology15, College of William & Mary16, Old Dominion University17, University of Saskatchewan18, University of Massachusetts Amherst19, University of Kentucky20, Norfolk State University21, Temple University22, Yerevan Physics Institute23, University of Ljubljana24, University of Illinois at Urbana–Champaign25
TL;DR: Scattering experiments show that in carbon-12 the neutron-proton pairs are nearly 20 times as prevalent as proton- Proton pairs and, by inference, neutron-neutron pairs, which has implications for understanding cold dense nuclear systems such as neutron stars.
Abstract: The protons and neutrons in a nucleus can form strongly correlated nucleon pairs. Scattering experiments, in which a proton is knocked out of the nucleus with high-momentum transfer and high missing momentum, show that in carbon-12 the neutron-proton pairs are nearly 20 times as prevalent as proton-proton pairs and, by inference, neutron-neutron pairs. This difference between the types of pairs is due to the nature of the strong force and has implications for understanding cold dense nuclear systems such as neutron stars.
322 citations
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TL;DR: There was low quality evidence that the mobile phone messaging intervention did not affect pregnancy outcomes, and women who received prenatal support via mobile phone messages had significantly higher satisfaction than those who did not receive the messages.
Abstract: Background
Preventive health care promotes health and prevents disease or injuries by addressing factors that lead to the onset of a disease, and by detecting latent conditions to reduce or halt their progression. Many risk factors for costly and disabling conditions (such as cardiovascular diseases, cancer, diabetes, and chronic respiratory diseases) can be prevented, yet healthcare systems do not make the best use of their available resources to support this process. Mobile phone messaging applications, such as Short Message Service (SMS) and Multimedia Message Service (MMS), could offer a convenient and cost-effective way to support desirable health behaviours for preventive health care.
Objectives
To assess the effects of mobile phone messaging interventions as a mode of delivery for preventive health care, on health status and health behaviour outcomes.
Search methods
We searched: the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library 2009, Issue 2), MEDLINE (OvidSP) (January 1993 to June 2009), EMBASE (OvidSP) (January 1993 to June 2009), PsycINFO (OvidSP) (January 1993 to June 2009), CINAHL (EbscoHOST) (January 1993 to June 2009), LILACS (January 1993 to June 2009) and African Health Anthology (January 1993 to June 2009).
We also reviewed grey literature (including trial registers) and reference lists of articles.
Selection criteria
We included randomised controlled trials (RCTs), quasi-randomised controlled trials (QRCTs), controlled before-after (CBA) studies, and interrupted time series (ITS) studies with at least three time points before and after the intervention. We included studies using SMS or MMS as a mode of delivery for any type of preventive health care. We only included studies in which it was possible to assess the effects of mobile phone messaging independent of other technologies or interventions.
Data collection and analysis
Two review authors independently assessed all studies against the inclusion criteria, with any disagreements resolved by a third review author. Study design features, characteristics of target populations, interventions and controls, and results data were extracted by two review authors and confirmed by a third author. Primary outcomes of interest were health status and health behaviour outcomes. We also considered patients’ and providers’ evaluation of the intervention, perceptions of safety, health service utilisation and costs, and potential harms or adverse effects. Because the included studies were heterogeneous in type of condition addressed, intervention characteristics and outcome measures, we did not consider that it was justified to conduct a meta-analysis to derive an overall effect size for the main outcome categories; instead, we present findings narratively.
Main results
We included four randomised controlled trials involving 1933 participants.
For the primary outcome category of health, there was moderate quality evidence from one study that women who received prenatal support via mobile phone messages had significantly higher satisfaction than those who did not receive the messages, both in the antenatal period (mean difference (MD) 1.25, 95% confidence interval (CI) 0.78 to 1.72) and perinatal period (MD 1.19, 95% CI 0.37 to 2.01). Their confidence level was also higher (MD 1.12, 95% CI 0.51 to 1.73) and anxiety level was lower (MD -2.15, 95% CI -3.42 to -0.88) than in the control group in the antenatal period. In this study, no further differences were observed between groups in the perinatal period. There was low quality evidence that the mobile phone messaging intervention did not affect pregnancy outcomes (gestational age at birth, infant birth weight, preterm delivery and route of delivery).
For the primary outcome category of health behaviour, there was moderate quality evidence from one study that mobile phone message reminders to take vitamin C for preventive reasons resulted in higher adherence (risk ratio (RR) 1.41, 95% CI 1.14 to 1.74). There was high quality evidence from another study that participants receiving mobile phone messaging support had a significantly higher likelihood of quitting smoking than those in a control group at 6 weeks (RR 2.20, 95% CI 1.79 to 2.70) and at 12 weeks follow-up (RR 1.55, 95% CI 1.30 to 1.84). At 26 weeks, there was only a significant difference between groups if, for participants with missing data, the last known value was carried forward. There was very low quality evidence from one study that mobile phone messaging interventions for self-monitoring of healthy behaviours related to childhood weight control did not have a statistically significant effect on physical activity, consumption of sugar-sweetened beverages or screen time.
For the secondary outcome of acceptability, there was very low quality evidence from one study that user evaluation of the intervention was similar between groups. There was moderate quality evidence from one study of no difference in adverse effects of the intervention, measured as rates of pain in the thumb or finger joints, and car crash rates.
None of the studies reported the secondary outcomes of health service utilisation or costs of the intervention.
Authors' conclusions
We found very limited evidence that in certain cases mobile phone messaging interventions may support preventive health care, to improve health status and health behaviour outcomes. However, because of the low number of participants in three of the included studies, combined with study limitations of risk of bias and lack of demonstrated causality, the evidence for these effects is of low to moderate quality. The evidence is of high quality only for interventions aimed at smoking cessation. Furthermore, there are significant information gaps regarding the long-term effects, risks and limitations of, and user satisfaction with, such interventions.
321 citations
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TL;DR: Solid A possesses numerous chromic effects, including mechano-, thermo-, and chronochromism, though the latter to a lesser extent, as well as the effect of rearrangement of the amorphous phase into a more stable crystalline phase A, associated with crystallization-induced emission enhancement (CIEE).
Abstract: It is known that electron donating groups have quite a different effect on the π-delocalization of a conjugate system when bonded at ortho and para as compared to meta positions in the phenyl ring. In the present work, the BF2 complex of 1-phenyl-3-(3,5-dimethoxyphenyl)-propane-1,3-dione (1), a molecule with two methoxy groups in one of the phenyl rings at meta positions, was prepared. Compound 1 exists as two polymorphs having different mutual orientations of the two methoxy groups: in polymorph A away from each other (termed anti), while in polymorph B one methoxy group is oriented toward the other (syn–anti). In both crystals, the molecules which are antiparallel (the subPh rings as well as dioxaborine are on opposite sides) form stacks through face-to-face π–π interactions, while in polymorph A the crystal packing is further stabilized by intermolecular C(phenyl)–H···F and C(methoxy)–H···F hydrogen bonds. Solid A possesses numerous chromic effects, including mechano-, thermo-, and chronochromism, thou...
321 citations
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TL;DR: In this article, the authors present a survey on the applications of grapheme in chimie and in physique applications, with a focus on the use of graphes in chimies.
Abstract: Introduction. Operateurs lineaires associes a un graphe. Resultats fondamentaux. Rayon spectral, fonctions generatrices de marche et mesures spectrales. Croissance et nombre isoperimetrique d'un graphe. Fonctions propres positives. Graphes de groupes, arbres et graphes reguliers en distance. Quelques remarques sur les applications en chimie et en physique
321 citations
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321 citations
Authors
Showing all 17388 results
Name | H-index | Papers | Citations |
---|---|---|---|
David Miller | 203 | 2573 | 204840 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
James M. Tour | 143 | 859 | 91364 |
Carmen García | 139 | 1503 | 96925 |
Bernt Schiele | 130 | 568 | 70032 |
Vladimir Cindro | 129 | 1157 | 82000 |
Teresa Barillari | 129 | 984 | 78782 |
Sven Menke | 129 | 1121 | 82034 |
Horst Oberlack | 129 | 985 | 80069 |
Hubert Kroha | 129 | 1126 | 80746 |
Peter Schacht | 129 | 1030 | 80092 |
Siegfried Bethke | 129 | 1266 | 103520 |
Igor Mandić | 128 | 1065 | 79498 |
Stefan Kluth | 128 | 1261 | 84534 |
Andrej Gorišek | 128 | 951 | 67830 |