Using telemedicine in the care of newborn infants after discharge from a neonatal intensive care unit reduced the need of hospital visits

Aim: This study examined the use of telemedicine as a means to follow up infants discharged from a Swedish neonatal intensive care unit to home health care. Methods: Families were randomised to either a control group receiving standard home health care (n = 42 families) or a telemedicine group receiving home health care with telemedicine support (n = 47 families) after discharge from the hospital. Both groups had follow-up hospital appointments with the neonatal nurse. In the telemedicine group, appointments were supplemented by the use of a specially designed web page and video calls. Results: The use of the web page and video calls decreased the number of emergency visits to the hospital (p = 0.047). In the telemedicine group, 26% of the families felt they had more scheduled appointments than necessary, whereas only 6% of the families in the control group thought so (p = 0.037). The parents were highly satisfied with the use of telemedicine. Although the nurses were favourable to using telemedicine, the rigid organisation of the home healthcare programme and the nurses' schedules and work routines prevented its optimal use. Conclusion: The use of telemedicine decreased the need of hospital visits. Organisational adaptations would be necessary to make the best use of telemedicine

Potential and limitations of nucleon transfer experiments with radioactive beams at REX-ISOLDE

As a tool for studying the structure of nuclei far off stability the technique of gamma-ray spectroscopy after low-energy single-nucleon transfer reactions with radioactive nuclear beams in inverse kinematics was investigated. Modules of the MINIBALL germanium array and a thin position-sensitive parallel plate avalanche counter (PPAC) to be employed in future experiments at REX-ISOLDE were used in a test experiment performed with a stable 36S beam on deuteron and 9Be targets. It is demonstrated that the Doppler broadening of gamma lines detected by the MINIBALL modules is considerably reduced by exploiting their segmentation, and that for beam intensities up to 10^6 particles/s the PPAC positioned around zero degrees with respect to the beam axis allows not only to significantly reduce the gamma background by requiring coincidences with the transfer products but also to control the beam and its intensity by single particle counting. The predicted large neutron pickup cross sections of neutron-rich light nuclei on 2H and 9Be targets at REX-ISOLDE energies of 2.2 MeV A are confirmed.Comment: 11 pages, 8 figure

An antiinflammatory active furochromone, norcimifugin from Cimicifuga foetida: Isolation, characterization, total synthesis and antiinflammatory activity of its Analogues

881-89

Excited bands and signature dependent electromagnetic decay properties in neutron-rich 159,161,163Dy

14 págs.; 12 figs.; 3 tabs. ; PACS number(s): 23.20.Lv, 27.70.1q, 21.10.ReHigh-spin states of the neutron-rich odd nuclei 159,161,163Dy have been studied using the incomplete fusion reactions 158,160Gd(7Li,(p,d,t)xn). In 159Dy, the band crossing in the 11/2-[505] band has been observed for the first time. Moreover, 11 E1 transitions connecting both signatures of the 3/2-[521] band to the 5/2+[642] band have been observed in this nucleus; the deduced B(E1)/B(E2) ratios as well as the B(M1)/B(E2) ratios for transitions within the 3/2-[521] band show a pronounced signature dependence. In 161Dy and 163Dy, rotational bands have been extended to significantly higher spin values. In 161Dy, the sequences built on the neutron 5/2-[523] and 3/2-[521] states have been followed up to spin 49/2- and 33/2-, respectively, and in both cases upbends have been observed around hℏ ω ≈0.26 MeV. In addition, a new band most probably built on the 11/2-[505] single-particle state has been identified in this isotope. In 163Dy, both the 5/2-[523] ground state band and the structure built on the 5/2+[642] neutron orbit have been extended up to the 45/2- and 49/2+ states, respectively. However, no band crossing has been observed in this nucleus. The properties of the observed bands in 159,161,163Dy are discussed and compared to calculations performed within the projected shell model. ©2003 The American Physical SocietyThis work was supported by the Deutsches Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie (BMBF). A.J. acknowledges support by the Deutsche Forschungsgemeinschaft (DFG) within the Heisenberg program.Peer Reviewe

Backbending region study in 160,162Dy using incomplete fusion reactions

18 págs.; 17 figs.; 3 tabs. ; PACS number(s): 23.20.Lv, 23.20.En, 27.70.1q, 21.60.CsThe incomplete fusion reactions 7Li→158,160Gd at beam energies of 8 MeV/nucleon have been used to study the first band crossing region in the heavy stable Dy isotopes 160,162Dy. The γ rays were detected in the GASP spectrometer in coincidence with fast charged particles detected in the ISIS silicon ball. We succeeded to observe the first backbending in 162Dy at a crossing frequency of ℏ ω ≈ 350 keV, a value much higher than expected from other nuclei in this mass region. Moreover, for the first time in a nucleus with a very large interaction strength, the yrare band in 160Dy could be established up to rather high spin (I= 20ℏ) allowing for a precise determination of the interaction strength between the ground state and the Stockholm band, |Vg-S| = 219(2) keV. Together with |Vg-S| = 14(2) kev determined for the corresponding interaction in 162Dy, a full oscillation of the strengths from one node to the next could be observed within an isotopic chain. In addition to the ground state and Stockholm bands, many other known bands in the two nuclei were considerably extended to higher spin and the experimental results are compared to calculations within the projected shell model. ©2002 The American Physical SocietyThis work has been supported by Deutsches Bundesministerium fur Bildung, Wissenschaft, Forschung und Technologie (BMBF). A.J. acknowledges support by the Deutsche Forschungsgemeinschaft (DFG).Peer Reviewe

Prediction of length of stay for stroke patients using artificial neural networks

Strokes are neurological events that affect a certain area of the brain. Since brain controls fundamental body activities, brain cell deterioration and dead can lead to serious disabilities and poor life quality. This makes strokes the leading cause of disabilities and mortality worldwide. Patients that suffer strokes are hospitalized in order to be submitted to surgery and receive recovery therapies. Thus, it’s important to predict the length of stay for these patients, since it can be costly to them and their family, as well as to the medical institutions. The aim of this study is to make a prediction on the number of days of patients’ hospital stays based on information available about the neurological event that happened, the patient’s health status and surgery details. A neural network was put to test with three attribute subsets with different sizes. The best result was obtained with the subset with fewer features obtaining a RMSE and a MAE of 5.9451 and 4.6354, respectively.FCT - Fundação para a Ciência e a Tecnologia (UID/CEC/00319/2019

REX-ISOLDE: post-accelerated radioactive BEAMS at CERN-ISOLDE

The ISOLDE RIB-facility at CERN has today been producing a vast range of radioactive beams since more than 30 years. The low-energy beams of ISOLDE will be complemented by a post-accelerator, REX-ISOLDE, currently being assembled. In order to convert the pseudo-DC, singly-charged beam from the ISOLDE mass separators into a cooled and bunched beam at higher charge states a novel scheme of trapping, cooling and charge-state breeding has been devised, using a linear Penning trap and an Electron Beam Ion Source (EBIS). This allows for subsequent acceleration by a short, cost-effective LINAC consisting of an RFQ, an IH-structure and three seven-gap resonators, reaching 0.8 - 2.2 MeV/u. The installation of REX-ISOLDE is well underway and the first post-accelerated radioactive beams are expected to be obtained during late 2000

Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features

<p>Abstract</p> <p>Background</p> <p>RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathways. To dissect the factors that result in effective siRNA sequences a regression kernel Support Vector Machine (SVM) approach was used to quantitatively model RNA interference activities.</p> <p>Results</p> <p>Eight overall feature mapping methods were compared in their abilities to build SVM regression models that predict published siRNA activities. The primary factors in predictive SVM models are position specific nucleotide compositions. The secondary factors are position independent sequence motifs (<it>N</it>-grams) and guide strand to passenger strand sequence thermodynamics. Finally, the factors that are least contributory but are still predictive of efficacy are measures of intramolecular guide strand secondary structure and target strand secondary structure. Of these, the site of the 5' most base of the guide strand is the most informative.</p> <p>Conclusion</p> <p>The capacity of specific feature mapping methods and their ability to build predictive models of RNAi activity suggests a relative biological importance of these features. Some feature mapping methods are more informative in building predictive models and overall <it>t</it>-test filtering provides a method to remove some noisy features or make comparisons among datasets. Together, these features can yield predictive SVM regression models with increased predictive accuracy between predicted and observed activities both within datasets by cross validation, and between independently collected RNAi activity datasets. Feature filtering to remove features should be approached carefully in that it is possible to reduce feature set size without substantially reducing predictive models, but the features retained in the candidate models become increasingly distinct. Software to perform feature prediction and SVM training and testing on nucleic acid sequences can be found at the following site: <url>ftp://scitoolsftp.idtdna.com/SEQ2SVM/</url>.</p