Rekonfigurasi Jaringan Tegangan Menengah 20 Kv untuk Peningkatan Kualitas Penyaluran Daya Sistem Kelistrikan Kampus Undana Penfui Kupang

Universitas Nusa Cendana Kupang merupakan salah satu pelanggan tenaga listrik dari PT. PLN (Persero) Cabang Kupang Rayon Kupang dengan kontrak daya sebesar 650 kVA dan tegangan sistem 20 kV. Masukan dari sistem kelistrikan undana dimulai dari gardu hubung milik PLN yang terletak didalam kampus undana kemudian daya diteruskan ke gardu kubikel milik undana. Keluaran dari gardu kubikel akan disalurankan melalui jaringan tegangan menengah yang terdiri atas tiga jalur utama yakni, jalur Rektorat lama, Rektorat Baru, dan jalur Kedokteran. Ketiga jalur distribusi tegangan menengah tersebut akan melayani tujuh buah transformator. Masalah utama yang terjadi pada sistem kelistrikan undana penfui adalah sering terjadinya pemadaman yang disebabkan oleh pembembanan lebih pada salah satu jalur beban yakni pada jalur rektorat lama yang mensuplai lima buah transformator. Tujuan dari penelitian ini adalah melakukan rekonfigurasi jaringan tegangan menengah 20 kV untuk peningkatan kualitas penyaluran daya sistem kelistrikan kampus undana penfui kupang agar tidak terjadi pembembanan lebih pada salah satu jalur beban sehingga tidak menyebabkan ketidak seimbangan beban. Dari hasil analisa kondisi eksisting sistem kelistrikan kampus undana penfui kupang adalah sumber akan memberikan daya P = 0.31164421 MW, Q = 0.12765602 Mvar, atau S = 0.439300 MVA dengan cos phi 0.85. dengan total losses daya secara keseluruhan adalah 0.0001258 MW. Sedangkan hasil rekonfigurasi sistem kelistrikan kampus undana penfui kupang adalah sumber akan memberikan daya P = 0.40599625 MW, Q = 0.16497407 Mvar, atau S = 0.57097032 MVA dengan cos phi 0.85. dengan total losses daya secara keseluruhan adalah 0.000062325 MW

Comparison of T1 mapping techniques for ECV quantification. histological validation and reproducibility of ShMOLLI versus multibreath-hold T1 quantification equilibrium contrast CMR

BACKGROUND: Myocardial extracellular volume (ECV) is elevated in fibrosis or infiltration and can be quantified by measuring the haematocrit with pre and post contrast T1 at sufficient contrast equilibrium. Equilibrium CMR (EQ-CMR), using a bolus-infusion protocol, has been shown to provide robust measurements of ECV using a multibreath-hold T1 pulse sequence. Newer, faster sequences for T1 mapping promise whole heart coverage and improved clinical utility, but have not been validated. METHODS: Multibreathhold T1 quantification with heart rate correction and single breath-hold T1 mapping using Shortened Modified Look-Locker Inversion recovery (ShMOLLI) were used in equilibrium contrast CMR to generate ECV values and compared in 3 ways.Firstly, both techniques were compared in a spectrum of disease with variable ECV expansion (n=100, 50 healthy volunteers, 12 patients with hypertrophic cardiomyopathy, 18 with severe aortic stenosis, 20 with amyloid). Secondly, both techniques were correlated to human histological collagen volume fraction (CVF%, n=18, severe aortic stenosis biopsies). Thirdly, an assessment of test:retest reproducibility of the 2 CMR techniques was performed 1 week apart in individuals with widely different ECVs (n=10 healthy volunteers, n=7 amyloid patients). RESULTS: More patients were able to perform ShMOLLI than the multibreath-hold technique (6% unable to breath-hold). ECV calculated by multibreath-hold T1 and ShMOLLI showed strong correlation (r(2)=0.892), little bias (bias -2.2%, 95%CI -8.9% to 4.6%) and good agreement (ICC 0.922, range 0.802 to 0.961, p<0.0001). ECV correlated with histological CVF% by multibreath-hold ECV (r(2)= 0.589) but better by ShMOLLI ECV (r(2)= 0.685). Inter-study reproducibility demonstrated that ShMOLLI ECV trended towards greater reproducibility than the multibreath-hold ECV, although this did not reach statistical significance (95%CI -4.9% to 5.4% versus 95%CI -6.4% to 7.3% respectively, p=0.21). CONCLUSIONS: ECV quantification by single breath-hold ShMOLLI T1 mapping can measure ECV by EQ-CMR across the spectrum of interstitial expansion. It is procedurally better tolerated, slightly more reproducible and better correlates with histology compared to the older multibreath-hold FLASH techniques

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金沢大学大学院自然科学研究科計算科

Improvements in data quality for decision support in intensive care

Nowadays, there is a plethora of technology in hospitals and, in particular, in intensive care units. The clinical data produced everyday can be integrated in a decision support system in real-time to improve quality of care of the critically ill patients. However, there are many sensitive aspects that must be taken into account, mainly the data quality and the integration of heterogeneous data sources. This paper presents INTCare, an Intelligent Decision Support System for Intensive Care in real-time and addresses the previous aspects, in particular, the development of an Electronic Nursing Record and the improvements in the quality of monitored data.Fundação para a Ciência e a Tecnologia (FCT