GLONASS CDMA L3 ambiguity resolution and positioning

A first assessment of GLONASS CDMA L3 ambiguity resolution and positioning performance is provided. Our analyses are based on GLONASS L3 data from the satellite pair SVNs 755-801, received by two JAVAD receivers at Curtin University, Perth, Australia. In our analyses, four different versions of the two-satellite model are applied: the geometry-free model, the geometry-based model , the height-constrained geometry-based model, and the geometry-fixed model. We study the noise characteristics (carrier-to-noise density, measurement precision), the integer ambiguity resolution performance (success rates and distribution of the ambiguity residuals), and the positioning performance (ambiguity float and ambiguity fixed). The results show that our empirical outcomes are consistent with their formal counterparts and that the GLONASS data have a lower noise level than that of GPS, particularly in case of the code data. This difference is not only seen in the noise levels but also in their onward propagation to the ambiguity time series and ambiguity residuals distribution

Visual monitoring of water deficit stress using infra-red thermography in wheat

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Evaluatie Opvangbeleid 2005-2008 overwinterende ganzen en smienten. Deelrapport 10. Hebben overwinterende ganzen invloed op de weidevogelstand?

Dit rapport richt zich op de vraag of de sterk toegenomen dichtheden ganzen in bepaalde gebieden mede verantwoordelijk kunnen zijn voor de achteruitgang van de weidevogels ter plekke. Gebruik makend van data verzameld in de periode 1990-2005 in het kader van het weidevogelmeetnet en de watervogeltellingen in ganzentelgebieden werd onderzocht in hoeverre gebieden met hoge dichtheden ganzen overlappen met gebieden met hoge dichtheden weidevogels. De effecten van hoge dichtheden overwinterende ganzen op in Nederland broedende weidevogels lijken verwaarloosbaar of positief. Resultaten van onderzoek van SOVON en Alterr

Розробка нейромережевої інтелектуальної системи для прогнозування енергетичних центрів плямових зображень у процесах профілювання лазерного променя

Здійснено розробку нейромережевої інтелектуальної системи для прогнозування енергетичних центрів (ЕЦ) плямових зображень у процесах профілювання лазерного променя (ЛП). Обґрунтовано актуальність задачі прогнозування координат ЕЦ профілю ЛП. Розглянуто методи прогнозування та обґрунтовано доцільність застосування нейромережевої моделі. Здійснено комп’ютерне моделювання системи прогнозування, а також на основі отриманих результатів сформульовано вимоги та здійснено програмну реалізацію інтелектуальної системи.Выполнено разработку нейросетевой интеллектуальной системы для прогнозирования энергетических центров (ЭЦ) пятенных зображений в процесах профилирования лазерного луча (ЛЛ). Обоснована актуальность задачи прогнозирования координат ЭЦ профиля ЛЛ. Рассмотрены методы прогнозирования и обоснована целесообразность применения нейросетевой модели. Выполнено компьютерное моделирование системы прогнозирования, а также на основе полученных результатов сформулированы требования и выполнено программную реализацию интеллектуальной системы.The development of a neural net intellectual system for energy centers (EC) spot images forecasting in the processes of laser beam profiling (LB) is done. Actuality of the problem of coordinates forecasting of EC of laser beam profile is proved. Methods of forecasting are considered and the appropriateness of usage the neural net model is justified. Computer simulation of forecasting system is carried out and also on the basis of the obtained results the requirements are formulated and software implementation of intelligent system is performed

Standardization of Assay Procedures for Analysis of the CSF Biomarkers Amyloid β(1-42), Tau, and Phosphorylated Tau in Alzheimer's Disease: Report of an International Workshop

Large variation in assay performance and outcomes of CSF Aβ1-42, total Tau (Tau), and phosphorylated Tau (pTau) (at amino acid 181) levels is observed between laboratories. The aim of this study was to assess the differences in assay procedures between several experienced international laboratories, as potential sources of error. 14 groups performed the Aβ42, Tau, and pTau assays according to the guidelines of the manufacturer. Differences in analytical procedures between the laboratories were monitored. At least 23 items in assay procedures were identified that varied between the laboratories, including procedures for washing, pipetting, incubation, finishing, and sample handing. In general, the inter- and intra-assay variation between the groups was generally below 10% for all three assays. We concluded that 17 international centers that use the same assays for Aβ42, Tau and pTau on a regular basis do not uniformly adhere to the procedures recommended by the manufacturer. For harmonization of intercenter results of these biomarkers standardization of protocols is highly needed

Mental health problems of undocumented migrants (UMs) in the Netherlands: a qualitative exploration of help-seeking behaviour and experiences with primary care

OBJECTIVE To explore health-seeking behaviour and experiences of undocumented migrants (UMs) in general practice in relation to mental health problems. DESIGN Qualitative study using semistructured interviews and thematic analysis. PARTICIPANTS 15 UMs in The Netherlands, varying in age, gender, country of origin and education; inclusion until theoretical saturation was reached. SETTING 4 cities in The Netherlands. RESULTS UMs consider mental health problems to be directly related to their precarious living conditions. For support, they refer to friends and religion first, the general practitioner (GP) is their last resort. Barriers for seeking help include taboo on mental health problems, lack of knowledge of and trust in GPs competencies regarding mental health and general barriers in accessing healthcare as an UM (lack of knowledge of the right to access healthcare, fear of prosecution, financial constraints and practical difficulties). Once access has been gained, satisfaction with care is high. This is primarily due to the attitude of the GPs and the effectiveness of the treatment. Reasons for dissatisfaction with GP care are an experienced lack of time, lack of personal attention and absence of physical examination. Expectations of the GP vary, medication for mental health problems is not necessarily seen as a good practice. CONCLUSIONS UMs often see their precarious living conditions as an important determinant of their mental health; they do not easily seek help for mental health problems and various barriers hamper access to healthcare for them. Rather than for medication, UMs are looking for encouragement and support from their GP. We recommend that barriers experienced in seeking professional care are tackled at an institutional level as well as at the level of GP.This qualitative study was funded by The Netherlands Organisation for Health Research and Development (ZonMw)

Identifying magnetic reconnection in 2D Hybrid Vlasov Maxwell simulations with Convolutional Neural Networks

Magnetic reconnection is a fundamental process that quickly releases magnetic energy stored in a plasma.Identifying, from simulation outputs, where reconnection is taking place is non-trivial and, in general, has to be performed by human experts. Hence, it would be valuable if such an identification process could be automated. Here, we demonstrate that a machine learning algorithm can help to identify reconnection in 2D simulations of collisionless plasma turbulence. Using a Hybrid Vlasov Maxwell (HVM) model, a data set containing over 2000 potential reconnection events was generated and subsequently labeled by human experts. We test and compare two machine learning approaches with different configurations on this data set. The best results are obtained with a convolutional neural network (CNN) combined with an 'image cropping' step that zooms in on potential reconnection sites. With this method, more than 70% of reconnection events can be identified correctly. The importance of different physical variables is evaluated by studying how they affect the accuracy of predictions. Finally, we also discuss various possible causes for wrong predictions from the proposed model.Comment: 16 pages, 9 figures and 5 tabel

Cerebrospinal fluid anti-myelin antibodies are related to magnetic resonance measures of disease activity in multiple sclerosis

0.001), together constituting 85% of all positive CSF samples. In contrast, elevated anti-myelin IgG antibody reactivity was present in a minority of IND patients (21%), marginally present in controls (5%) and absent in OND patients (0%). Most strikingly, anti-myelin IgG antibody reactivity was related to the number of T2 lesions (r = 0.31, p = 0.041) and gadolinium enhancing T1 lesions (r = 0.37, p = 0.016) on brain MRI in CIS and relapse onset MS patients. Conclusion: CSF anti-myelin IgG antibodies are promising specific biomarkers in CIS and relapse onset MS and correlate with MR measures of disease activit