Skenario Konsekuensi Analisis Pengangkutan LNG Semarang-Yogyakarta dengan Simulasi ALOHA

Liquefied Natural Gas (LNG) is one of the potential alternative fuels to replace conventional fuels. Using LNG as fuel in Indonesia especially Yogyakarta will give many advantages, for instance, reduced greenhouse gas emissions so that eco-city in Yogyakarta can be realized. Although LNG has many advantages, LNG still contains many hazards whether during storage or distribution, the major hazard is radiant heat. This study aims to analyze and simulate hazard scenarios when transporting LNG such as fire pools, fireballs and vapor clouds and establishing exclusion zone by Areal Location of Hazardous Atmospheres (ALOHA) simulation. This study assumes that the diameter of the tank leak is 1 in and 3 in. The simulation results the exclusion zone from pool fire\u27s heat radiation from 1 in and 3 in leaks are more than 14 m and 39 m. While the safe distance of the fireball is 799 m. While in the distance vapor clouds that have a possibility of fire for the diameter leakage of 1 and 3 in are 21 m and 59 m.   &nbsp

Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks

Robust and computationally efficient anomaly detection in videos is a problem in video surveillance systems. We propose a technique to increase robustness and reduce computational complexity in a Convolutional Neural Network (CNN) based anomaly detector that utilizes the optical flow information of video data. We reduce the complexity of the network by denoising the intermediate layer outputs of the CNN and by using powers-of-two weights, which replaces the computationally expensive multiplication operations with bit-shift operations. Denoising operation during inference forces small valued intermediate layer outputs to zero. The number of zeros in the network significantly increases as a result of denoising, we can implement the CNN about 10% faster than a comparable network while detecting all the anomalies in the testing set. It turns out that denoising operation also provides robustness because the contribution of small intermediate values to the final result is negligible. During training we also generate motion vector images by a Generative Adversarial Network (GAN) to improve the robustness of the overall system. We experimentally observe that the resulting system is robust to background motion

GIS-based landslide susceptibility assessment: a case study in Kelemen Valley (Yenice-Karabuk, NW Turkey)

WOS: 000384333000059This study focuses on revealing the landslide susceptibility of mainly the Kelemen Valley and adjacent valleys in the Western Black Sea Region of Turkey by investigating the parameters causing landslide occurrences in the region in a GIS environment and applying the frequency rate method on landslide-prone areas. Many buildings and houses in the study area, 382 houses to be exact, had to be evacuated by the General Directorate of Disaster Affairs of Turkey based on the findings from landslide studies conducted in the region since 1950 and were declared "unsuitable for construction and residence due to disaster." Therefore, it is of a vital significance to disclose the factors of landslide occurrences in the Kelemen Valley and consequently to prepare landslide susceptibility maps. For this purpose, 82 landslide exposed areas are determined by field surveys and checked against satellite imagery. All 82 landslides are found to have occurred in the Cretaceous Ulus Formation with the same climate and same vegetation, which are not considered distinctive parameters for the region. These findings have given rise to exclude these parameters from analyses on the basis that they are proclaimed as common parameters; instead, the parameters such as slope, aspect and distance to river are taken into consideration and assessed in ArcGIS software. Finally, the landslide susceptibility of the region has been obtained. Furthermore, a comparison is conducted between the existing landslides and the outcome map, and it is deduced that the map produced has a correlation ratio of 86 % with the existing occurrences for high-risk areas. This finding clearly dictates that land-slideprone areas need to be accounted for when planning for new settlement areas

Comparison of Vesikari and Clark scales regarding the definition of severe rotavirus gastroenteritis in children

WOS: 000354612900009PubMed ID: 25715939Background: Two clinical severity scales, the Vesikari scale and the Clark scale, are commonly used to assess the efficacy of rotavirus vaccines. The results obtained using the two severity scales differ significantly and hamper comparisons. The aim of this study was to compare the Clark and Vesikari scales and to determine whether modified classifications would provide a better correlation between the two scales. Methods: The severity of rotavirus gastroenteritis was assessed for each child using both the Vesikari and Clark scales. To make a statistical comparison between the two scales, the classifications were modified. Results: In total, 200 children with rotavirus gastroenteritis were evaluated. Of these, 57% were classified as severe by the Vesikari scale, and only 1.5% by the Clark scale (p = 16), provided a better correlation between the two severity scales, but still did not achieve a good level of agreement. Conclusions: The Clark and Vesikari scales differ significantly in the definition of severe gastroenteritis. Even the attempts at reclassifying the scales did not achieve a good correlation

Nurses' professed knowledge of genetics and genetic counseling

All over the world, the increased awareness of the importance of early diagnosis of genetic diseases has given them priority in primary health care. However, more recent surveys indicate that genetics content is still lacking in nursing curricula. This survey aimed to measure the current status of primary care nurses' knowledge about genetics and genetic counseling, and the educational needs of nurses related to human genetics in the Denizli region of Turkey. This area in western Turkey has an 11.7% rate of consanguineous marriages; about 3.5% of the population are hemoglobinopathies carrier and 3.2% are thalassemia carriers. Data were collected on forms that aimed to obtain information about nurses' approaches to genetics and genetic counseling. A total of 86 of 106 nurses working in Denizli province returned the questionnaire (response rate of 81.1%). Phenylketonuria, at 61.5%, and Cooley's anemia, at 60.0%, were identified as the subjects these nurses were most knowledgeable about in terms of genetic disorders. A high percentage of nurses admitted they had insufficient knowledge about the genetic basis of diseases (96.4%), inheritance patterns (98.9%), ethical and legal issues (100.0%), genetic counseling (100.0%), gene testing (95.9%), and genetic engineering (97.9%). About 67% of nurses stated they would like to attend a training course on these subjects. As a result of this study a genetics course is planned for nurses so they can actively participate in the prevention and early diagnosis of genetic diseases