This paper presents a high-resolution, in-situ material testing system that integrates acoustic emission (AE) with nanoindentation for crack generation and detection in thin film stack structures. is used to find the critical contact load during wafer probing of crack-sensitive backend-of-line (BEOL) structures semiconductor integrated circuits. Scanning electron microscopy (SEM) load–displacem...

1. St-Louis P, Ethier J. An evaluation of three glucose meter systems and their performance in relation to criteria of acceptability for neonatal specimens. Clin Chim Acta. 2002; 322 (1-2): 139-148. 2. Balion C, Grey V, Ismaila A, Blatz S, Seidlitz W. Screening for hypoglycemia at the bedside in the neonatal intensive care unit (NICU) with the Abbott PCx glucose meter. BMC Pediatr. 2006; 11; 6....

Isolation of shogaol from Organic and Processed Ginger for Cancer Related Drug 
 Discovery Research Hunter Bouldin Young B. Kim, Ph. D. Department Applied Sciences & Math, School STEM, Bluefield State College, Bluefield, WV Natural products define as a chemical compound or substance plants, fungi, animals, microorganisms. Within drug discovery research, more than 60% drugs in industria...

Kemiskinan merupakan masalah sosial yang sudah tersebar di seluruh daerah Indonesia, termasuk Daerah Provinsi Banten. Meskipun tersebut memiliki angka kemiskinan terendah, namun ini adalah hal harus diutamakan. Jika menaik, maka akan menimbulkan dampak dari berbagai aspek, seperti tertutupnya akses pendidikan, tumbuhnya kriminalitas, bahkan bisa menghambat pertumbuhan ekonomi dikarenakan turunn...

data mining is a powerful tool for firms to extract knowledge from their customers’ transaction data. one of the useful applications of data mining is segmentation. segmentation is an effective tool for managers to make right marketing strategies for right customer segments. in this study we have segmented retailers of a hygienic manufacture. nowadays all manufactures do understand that for sta...

Different interferometric approaches have been developed over the past few decades to process SAR data and recover surface deformation, each approach has advantages limitations. Finding an accurate reliable interval for preparing mean deformation rate maps (MDRMs) remains challenging. The primary purpose of this paper is implement application consisting three unsupervised clustering algorithms ...

Standard patient parameters, tumor markers, and tumor diagnosis records are used for identifying prediction models for tumor markers as well as cancer diagnosis predictions. In this paper we present a hybrid clustering and classification approach that first identifies data clusters (using standard patient data and tumor markers) and then learns prediction models on the basis of these data clust...

<p><strong>The growth in the number of educational institutions creates competition which encourages each institution to have a special strategy deal with it. The challenge that must also be faced world education is uneven quality various regions. One way face equal distribution school create programs suit needs school. In this study, solving problem mapping schools owned by XYZ fou...

BACKGROUND The accuracy of any 3D-QSAR, Pharmacophore and 3D-similarity based chemometric target fishing models are highly dependent on a reasonable sample of active conformations. Since a number of diverse conformational sampling algorithm exist, which exhaustively generate enough conformers, however model building methods relies on explicit number of common conformers. RESULTS In this work,...

Problem statement: In solving a classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets stored in multiple tables into a single table. Unfortunately, we may loss some information when we join tables with a high degree of one-to-many association. Therefore, data transformation becomes a tedi...