Numerical friction lines for cfd based form factor determination

In this study, frictional resistance coefficients of an infinitely thin 2D plate have been computed at 14 Reynolds numbers (between og10()=6.25 to 9.5) in sets of five geometrically similar structured grids in order to perform reliable grid dependence studies. Additional grid dependency studies have been performed by using 5 sets of grids which have the same number of cells in all directions but varying first cell sizes normal to the flat plate at og10(n)=6.25. Average + values for each grid set for the finest grid varies between 0.0075 and 0.5 (from set 1 to 5 respectively) while none of the simulations exceeded average + value of 1. All simulations were performed with the direct application of the no-slip condition at walls. Therefore, no wall functions were used. Two turbulence models have been used for the investigations: −ω SST and EASM. Extensive grid dependence studies have been performed with two different CFD codes SHIPFLOW and FINE™/MARINE, using the same grids. Special attention was paid to the transition from laminar to turbulent flow at the lowest Reynolds number since laminar part can cover a significant part of the plate. At og10(n)=6.25 for both CFD codes, laminar flow and transition to turbulent flow was distinctive even though no transition models were applied. Significant dependency on + has been observed with FINE™/MARINE on friction resistance coefficient. On the other hand, SHIPFLOW exhibited less sensitivity to the first cell size variation, hence, revealed smaller numerical uncertainties in general. To ensure a numerical uncertainty of frictional resistance component below 1%, average +<0.016 have been used for generating the data points of friction line with SHIPFLOW for each turbulence model. Data points of 14 Reynolds number have been transformed into numerical friction lines by applying curve fits. Obtained friction lines are compared with ITTC57 line, Schoenherr, Hughes, Toki, Katsui, Grigson lines and two numerical friction lines

ANALISIS ESTETIKA FOTO JURNALIS KARYA ABRIAWAN ABHE: STUDI KASUS FOTO PON XX PAPUA TAHUN 2021

This research aims to analyze the aesthetics of photojournalism works by Abriawan Abhe, with a case study on the photos of PON XX Papua in 2021. Using the method of visual content analysis, the photos were evaluated to identify aesthetic elements such as composition, lighting, color, contrast, and other photographic techniques. The findings reveal that Abriawan Abhe successfully creates aesthetically pleasing and captivating photojournalistic images with strong composition, appropriate lighting, thoughtful color choices, and diverse photographic techniques. In addition to providing information about the event, these photos also possess a strong artistic value, offering a deeper understanding of the aesthetics of photojournalism and contributing to the appreciation of aesthetic qualities in impactful and engaging photojournalistic works

Hubungan Kualitas Pelayanan Keperawatan Dengan Kepuasan Pasien Di Rumah Sakit Umum Daerah Tombulilato

Kepuasan pasien merupakan keadaan dimana pasien mendapat pelayanan, perhatian dan kesehatan sebagaimana yang mereka harapkan. Semakin baik pelayanan yang diberikan maka tingkat kepuasan pasien semaki tinggi dan sebaliknya. Tujuan dari penelitian ini adalah untuk mengetahui kemampuan perawat dalam memberikan pelayanan dengan segera, tepat dan memuaskan, daya tanggap, jaminan pelayanan, dan fasilitas yang memadai di RSUD Tombulilato. Desain penelitian yang digunakan dalam penelitian ini adalah penelitian analitik dengan pendekatan secara cross sectional study. Dalam penelitian ini populasi adalah pasien rawat jalan di Rumah Sakit Tombulilato pada saat dilakukan penelitian. Hasil lima indikator kualitas pelayanan yang diteliti yaitu reliabilitas (41 responden reliabel dan 4 responden yang non reliabel), daya tanggap (tanggap 37 responden dan kurang tanggap 8 responden), jaminan (baik 33 respoden dan kurang baik 12 responden), empati (30 responden empati dan 15 responden kurang empati) dan bukti fisik (baik 38 responden dan kurang baik 7 responden). Hasil penelitian menunjukkan bahwa kualitas pelayanan keperawatan ditinjau dari indikator reliabilitas, daya tanggap, jaminan, empati dan bukti fisik berhubungan dengan kepuasan pasien di Rumah Sakit Umum Daerah Tombulilato, sehingga sangat perlu diperhatikan dalam hal meningkatkan kualitas pelayanan. &nbsp; &nbsp

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon in the right time and thus an early diagnosis of pneumonia is vital. The aim of this paper is to automatically detect bacterial and viral pneumonia using digital x-ray images. It provides a detailed report on advances made in making accurate detection of pneumonia and then presents the methodology adopted by the authors. Four different pre-trained deep Convolutional Neural Network (CNN)- AlexNet, ResNet18, DenseNet201, and SqueezeNet were used for transfer learning. 5247 Bacterial, viral and normal chest x-rays images underwent preprocessing techniques and the modified images were trained for the transfer learning based classification task. In this work, the authors have reported three schemes of classifications: normal vs pneumonia, bacterial vs viral pneumonia and normal, bacterial and viral pneumonia. The classification accuracy of normal and pneumonia images, bacterial and viral pneumonia images, and normal, bacterial and viral pneumonia were 98%, 95%, and 93.3% respectively. This is the highest accuracy in any scheme than the accuracies reported in the literature. Therefore, the proposed study can be useful in faster-diagnosing pneumonia by the radiologist and can help in the fast airport screening of pneumonia patients.Comment: 13 Figures, 5 tables. arXiv admin note: text overlap with arXiv:2003.1314

Unsteady electromagnetic radiative nanofluid stagnation-point flow from a stretching sheet with chemically reactive nanoparticles, Stefan blowing effect and entropy generation

The present article investigates the combined influence of nonlinear radiation, Stefan blowing and chemical reactions on unsteady EMHD stagnation point flow of a nanofluid from a horizontal stretching sheet. Both electrical and magnetic body forces are considered. In addition, the effects of velocity slip, thermal slip and mass slip are considered at the boundaries. An analytical method named as homotopy analysis method is applied to solve the non-dimensional system of nonlinear partial differential equations which are obtained by applying similarity transformations on governing equations. The effects of emerging parameters including Stefan blowing parameter, electric parameter, magnetic parameter etc. on the important physical quantities are presented graphically. Additionally, an entropy generation analysis is provided in this article for thermal optimization. The flow is observed to be accelerated both with increasing magnetic field and electrical field. Entropy generation number is markedly enhanced with greater magnetic field, electrical field and Reynolds number, whereas it is reduced with increasing chemical reaction parameter