Simula Innovation (Norway)

Objective: To examine health service (HS) utilization profiles among a non-depressive population and patients with depressive symptoms (DS) with and without clinical depression.Design, subjects and setting: The study population was based on primary care patients with DS scoring ≥10 in the 21-item Beck Depression Inventory (BDI) and who were at least 35 years old and had been referred to depression nurse case managers (n = 705). Their psychiatric diagnosis was confirmed with the Mini-International Neuropsychiatric Interview (M.I.N.I.). Of these patients, 447 had clinical depression. The number of patients with DS without clinical depression was 258. The control group consisted of a random sample of 414 residents with a BDI score < 10. Use of HS (visits and phone calls to a doctor and a nurse) was based on patient records.Main outcome measures: Number of visits and calls to physicians and nurses.Results: Patients with DS regardless of their depression diagnosis used primary health care (PHC) services three times more than the controls (p < 0.001). In the secondary care, the differences were smaller but significant. Of the controls, 70% had 0–4 HS contacts per year whereas a majority of the patients having DS had more than 5 contacts per year. The number of contacts correlated with the BDI from a score of 0 to 10 but not as clearly in the higher scores.Conclusion: Depressive symptoms, both with or without clinical depression, are associated with increased HS use, especially in PHC. This study suggests that even mild depressive symptoms are associated with an increased use of HS.KEY POINTSWe analyzed the health service (HS) use among primary health care patients screened for depression and non-depressive population.Screen positive patients without clinical depression used as much HS as those having clinical depression.Regardless of depression diagnosis, screen positive patients visited a GP and nurse three times more often than the control population.In the screen negative control population, milder depressive symptoms were correlated with the use of HS.Primary health care was responsible for most of the HS use among patients having depressive symptoms.

A silicon microstrip detector has been developed with 50- mu m-pitch strips on both the p- and n-side, using the principle of capacitive coupling between p/sup +/ diode strips (respectively, n/sup +/ strips) and the metallization strips which connect to the front-end preamplifiers. The detector is biased on both sides via polysilicon resistors connecting each p/sup +/ or n/sup +/ line to a common bias bus. To allow ohmic separation at the n-side, the accumulation layer of electrons has to be disrupted between the n/sup +/ strips. This has been achieved in three different ways: by separate polysilicon lines on thick oxide between two adjacent n/sup +/ lines to break the conducting accumulation layer by externally induced field depletion or by using the metal lines of the n/sup +/ strips on thick oxide or on thin oxide. Results on 20*20-mm/sup 2/ test devices are presented. A preliminary analysis of the spatial resolution gives sigma =16 mu m on both sides. These results demonstrate that double-sided readout Si strip detectors can be used for experiments where spatial resolution in the 10 mu m range is needed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

This article examines how immigrant careworkers relate dynamically with the Norwegian gender regime. While the importation of careworkers contributes both to the practical maintenance and to the undermining on a more ideological level of the Norwegian gender regime, it also brings in new constellations and possibilities. In this article examples from two studies are discussed in the light of institutional and intersectional perspectives. It describes features of the Norwegian gender regime that are especially relevant to carework, and the highly gendered distribution and sharing of carework across the public and private domains. One central Norwegian form of care institution, the nursing home, then comes into focus. Making use of empirical examples from fieldwork and interviews, the article discusses how, as immigrant careworkers increasingly staff these institutions, new light is thrown on existing power structures, while at the same time these structures may be challenged through the fluidity of situational and relational gendering processes.

BACKGROUND: Altered right ventricular structure is an important feature of Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC), but is challenging to quantify objectively. The aim of this study was to go beyond ventricular volumes and diameters and to explore if the shape of the right and left ventricles could be assessed and related to clinical measures. We used quantifiable computational methods to automatically identify and analyse malformations in ARVC patients from Cardiovascular Magnetic Resonance (CMR) images. Furthermore, we investigated how automatically extracted structural features were related to arrhythmic events. METHODS: A retrospective cross-sectional feasibility study was performed on CMR short axis cine images of 27 ARVC patients and 21 ageing asymptomatic control subjects. All images were segmented at the end-diastolic (ED) and end-systolic (ES) phases of the cardiac cycle to create three-dimensional (3D) bi-ventricle shape models for each subject. The most common components to single- and bi-ventricular shape in the ARVC population were identified and compared to those obtained from the control group. The correlations were calculated between identified ARVC shapes and parameters from the 2010 Task Force Criteria, in addition to clinical outcomes such as ventricular arrhythmias. RESULTS: Bi-ventricle shape for the ARVC population showed, as ordered by prevalence with the percent of total variance in the population explained by each shape: global dilation/shrinking of both ventricles (44 %), elongation/shortening at the right ventricle (RV) outflow tract (15 %), tilting at the septum (10 %), shortening/lengthening of both ventricles (7 %), and bulging/shortening at both the RV inflow and outflow (5 %). Bi-ventricle shapes were significantly correlated to several clinical diagnostic parameters and outcomes, including (but not limited to) correlations between global dilation and electrocardiography (ECG) major criteria (p = 0.002), and base-to-apex lengthening and history of arrhythmias (p = 0.003). Classification of ARVC vs. control using shape modes yielded high sensitivity (96 %) and moderate specificity (81 %). CONCLUSION: We presented for the first time an automatic method for quantifying and analysing ventricular shapes in ARVC patients from CMR images. Specific ventricular shape features were highly correlated with diagnostic indices in ARVC patients and yielded high classification sensitivity. Ventricular shape analysis may be a novel approach to classify ARVC disease, and may be used in diagnosis and in risk stratification for ventricular arrhythmias.

GridStat is a QoS-managed middleware framework designed to replace the power grid's aging, inflexible, and slow data communications system. GridStat is a specialization of the publish-subscribe paradigm that takes advantage of the semantics of periodic updates of cached sensor data to provide data delivery with a per-subscriber rate, latency, and redundant paths. While GridStat is well-suited for delivery of sensor data over a wide-area network, its baseline one-way mechanisms are not suitable for round-trip invocations such as setting an actuator or calling between control centers. In this paper we present the design, implementation and experimental evaluation of Ratatoskr, a tunable remote procedure call mechanism that builds on the QoS semantics of GridStat and supports three kinds of redundancy. Additionally, user-defined pre- and post-condition predicates over GridStat status variables are built into the call semantics.

ABSTRACT This article presents the development of virtual sensors for estimation of phosphates (PO4) and soluble COD profiles in a novel, continuous flow, moving bed bioreactor with enhanced biological phosphorus removal and simultaneous nitrification and denitrification, the Hias process. The virtual sensors combine online measurements with additional electrical conductivity (EC), oxidation–reduction potential (ORP) measurements, and state-space models at inlet, zone 3 and zone 7. The data were collected from Hias municipal WRRF, Norway from March to July 2023, and include both online data and laboratory data. Input variables were selected using correlation plots. Linear measurement equations were fitted to relate PO4 and COD concentrations in the laboratory data set with the online measurements including EC/ORP measurements. The state-space models were identified from the online data with model accuracy from moderate to strong. The estimated PO4 and COD concentrations correspond to most of the scarce laboratory data points at inlet and zone 3, whereas the model in zone 7 requires more work. A Kalman filter was developed for zone 3 and implemented in KYB IIoT platform. Future work is suggested on improvement of the model accuracy in zone 7, and development of energy-efficient control strategies using the virtual sensors.

taxa de avano da simulao em tempo de execuo. A arquitetura adapta a taxa de acordo com informao de retorno recebida pelos simuladores agregados. So tambm apresentados uma implementao da arquitetura em uma soluo multiagente aplicada a um cenrio naval.

ABSTRACT With the objective of reducing its CO2 footprint and moving towards circularity by recovering influent phosphorus, Hias wastewater treatment plant (WWTP) has developed a novel biological removal process (the Hias Process) which combines enhanced biological phosphorus removal (EBPR) and moving bed biofilm reactor and is now operating at full scale. Additionally, a struvite reactor is installed to capture phosphorus from the resulting sludge. In this work, the performance of the WWTP and particularly the biological phosphorus removal process and struvite reactor is assessed with regards to circularity and recovery of phosphorus. The Hias Process demonstrates stability and effectiveness even in cold climates and during stormwater events. Introducing the Hias Process reduced the use of precipitation chemicals, leading to a lower carbon footprint. The combination of the Hias Process with subsequent struvite reactor contributes to increased phosphorus circularity. That is achieved through improved plant availability of phosphorus in biosolids and the production of struvite. Main factors affecting recovery of phosphorus are identified and include the use of precipitation metals, bypass of the EBPR, and temperature's impact on PO4 release from EBPR sludge. This study aligns with Sustainable Development Goals and emphasizes efficient phosphorus recovery through the Hias Process and struvite reactor.

GridStat is a QoS-managed publish-subscribe frame-work for data delivery for the electric power grid. Grid-Stat’s Data Plane delivers data updates through a network of middleware-level Status Routers. Subscriptions are man-aged by GridStat’s hierarchical QoS Management Plane. The path allocation computations are typically done of-fline and beforehand, but are complex, not only due to the multiple QoS constraints but the number of status routers that would be involved an entire power grid. In a cri-sis, many entities may suddenly wish to add a large num-ber of subscription requests, which would in practice over-whelm the subscription allocation mechanisms. In this pa-per we present a mechanism called modes, which lets Grid-Stat change routing tables quickly. Modes can be either global, or only active at a given scope within the hierarchy. We present the design and experimental evaluation of Grid-Stat modes and of two different mode change algorithms that provide different tradeoffs of performance and consis-tency. 1

With the expansion of mobile communications infrastructure, social media usage in the Global South is surging. Compared to the Global North, populations of the Global South have had less prior experience with social media from stationary computers and wired Internet. Many countries are experiencing violent conflicts that have a profound effect on their societies. As a result, social networks develop under different conditions than elsewhere, and our goal is to provide data for studying this phenomenon. In this dataset paper, we present a data collection of a national Twittersphere in a West African country of conflict. While not the largest social network in terms of users, Twitter is an important platform where people engage in public discussion. The focus is on Mali, a country beset by conflict since 2012 that has recently had a relatively precarious media ecology. The dataset consists of tweets and Twitter users in Mali and was collected in June 2022, when the Malian conflict became more violent internally both towards external and international actors. In a preliminary analysis, we assume that the conflictual context influences how people access social media and, therefore, the shape of the Twittersphere and its characteristics. The aim of this paper is to primarily invite researchers from various disciplines including complex networks and social sciences scholars to explore the data at hand further. We collected the dataset using a scraping strategy of the follower network and the identification of characteristics of a Malian Twitter user. The given snapshot of the Malian Twitter follower network contains around seven million accounts, of which 56,000 are clearly identifiable as Malian. In addition, we present the tweets. The dataset is available at: https://osf.io/mj2qt/

We demonstrate IP fast reroute using a recently proposed method called Multiple Routing Configurations. The demonstrator comprises a small network of Linux routers, where the effect of network failures can be observed on real-time applications with and without IP fast reroute in effect.

Penelitian ini bertujuan untuk mengetahui peningkatan motivasi belajar siswa pada mata pelajaran Simulasi Digital dengan menggunakan pendekatan metode simulasi pada siswa kelas X TKJ SMK Swasta Harapan Bandar Pulo Kecamatan Batang Serangan. Jenis penelitian yang dilakukan yaitu penelitian tindakan kelas (classroom action research) menggunakan metode simulasi digital. Penelitian yang dilakukan ini terdiri dari dua siklus dimana setiap siklus meliputi perencanaan tindakan, observasi, dan refleksi. Subyek penelitian ini yaitu siswa kelas X TKJ yang berjumlah 27 siswa. Objek dalam penelitian ini merupakan upaya meningkatkan motivasi belajar siswa dengan menggunakan metode pembelajaran simulasi digital khususnya pada pokok bahasan branding dan presentasi video pada simulasi digital. Hasil penelitian menunjukan bahwa persentase motivasi belajar siswa pada siklus I dan siklus II dapat meningkatkan motivasi belajar siswa dengan menggunakan metode simulasi digital siswa kelas X TKJ SMK Swasta Harapan Bandar Pulo Kecamatan Batang Serangan Kabupaten Langkat. Hal ini ditunjukan dari “Meningkatkan motivasi belajar siswa dengan nilai rata-rata siklus I sebesar 40,48%: siklus II Sebesar 45,48%, jadi motivasi belajar siswa dalam siklus I dan siklus II sebesar 85,96%.