Introduction: Raw ingredients used in confectionary carry high risk of infection with Escherichia coli.Since confectionaries are offered in the market in quite varied forms and types and there is a great difference in the sanitary status of the confectionaries, this study aimed at evaluation of E.coli frequency distribution in different
Analisis Penerapan SPI Dan Akuntansi Forensik Dalam Upaya Pendeteksian Fraud Secara Dini
Kecurangan dapat terjadi dimana saja baik dilakukan dalam sektor pemerintahan maupun swasta untuk memperoleh keuntungan secara pribadi maupun kelompok.Salah satu kasus kecurangan juga pernah terjadi pada perusahaan PT Asuransi Central Asia Cabang Batam, dimana terdapat beberapa oknum yang terindikasi telah melakukan kecurangan dan ditindak lebih ja
Low-Power High-Speed Sense-Amplifier-Based Flip-Flops With Conditional Bridging
Conventional high-performance flip-flops suffer from large power consumption at the nominal supply region and Dollhouse Accessories unreliable operation in the low-voltage region.To overcome these drawbacks, this paper proposes conditional-bridging flip-flops (CBFFs) that can conditionally activate the shorting device in the sense-amplifier stage.T
Evolution of vortices in the wake of an ARJ21 airplane: Application of the lift-drag model
ABSTRACT: Wake separation is crucial to aircraft landing safety and is an important factor in airport operational efficiency.The near-ground evolution characteristics of wake vortices form the foundation Dinner Forks of the wake separation system design.In this study, we analysed the near-ground evolution of vortices in the wake of a domestic aircr
Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Classifying land use and land cover (LULC) is essential for various environmental monitoring and geospatial analysis applications.This research focuses on land classification in District Sukkur, Pakistan, employing the comparison between machine and deep learning models.Three satellite indices, namely, NDVI, MNDWI, and NDBI, were derived from Lands