A Review Based on Young Adult Consumers\u27 Perspective: What Should McCafe Indonesia Do?

Coffee Café Shop industry continued to show a positive trend. This case evidenced with the increasing number of players in the industry, it is not limited only for multinationals but also small local players. But, seems the coffee café companies still focus to target relatively similar consumers. Can be said that the market leader, Starbucks, has major influence on how competitors act. McCafe Indonesia, which is an initiative coffee cafe from McDonald\u27s, will become an interesting research object considering its mother brand effect. Should McCafe targets similar consumers to Starbucks or other white space potential? Therefore, the authors are interested in doing research to map out how the consumers of coffee cafes in Indonesia today. Through a market mapping, hopefully new segment could be explored by McCafe

Multi-locus sequence typing of Escherichia coli isolates with acquired ampC genes and ampC promoter mutations

© 2016 Elsevier Inc. Multi-locus sequence typing was used to reveal a high degree of diversity amongst the E. coli isolates with AmpC plasmid genes, and a high prevalence of the −32 mutation present

Chromosomal ampC mutations in cefpodoxime-resistant ESBL-negative uropathogenic escherichia coli

AmpC beta-lactamase is an enzyme commonly produced by Escherichia coli that causes resistance to cephalosporins and penicillins. Enzyme production is controlled by the strength of the promoter encoded by the chromosomal ampC gene, with the level of production affected by the presence of certain mutations in this region. This study sets out to determine the prevalence of ampC promoter mutations present in a group of uropathogenic E. coli strains. A total of 50 clinical strains of E. coli were collected from urine samples between June 2011 and November 2011. Strains were investigated for the presence of mutations in the chromosomal ampC promoter region by amplification and sequencing of a 271 bp product. The presence of ampC-carrying plasmids derived from other species was also determined, to exclude these from further analysis. ampC-carrying plasmids were found in 10 of the 50 strains, all of which were of the CIT-type. Analysis of the chromosomal ampC promoter region in the 40 remaining strains showed mutations at 16 different positions, with 18 different genotype patterns detected overall. The most common ampC chromosomal mutation, present in 25 of 40 strains, was a T→A transition at position -32. This mutation has been shown by others to increase enzyme production by up to 46-fold. Altogether, three separate mutations (-32, -42 and -13ins) were present in 90% of the 40 non-plasmid strains, indicating a strong association with the resistance observed. It appears, therefore, that the majority of AmpC-mediated resistance in E. coli can be accounted for by just three point mutations in the chromosome

Marriage by Force? Contestation over Consent and Coercion in Africa

With forced marriage, as with so many human rights issues, the sensationalized hides the mundane, and oversimplified popular discourses miss the range of experiences. In sub-Saharan Africa, the relationship between coercion and consent in marriage is a complex one that has changed over time and place, rendering impossible any single interpretation or explanation. The legal experts, anthropologists, historians, and development workers contributing to Marriage by Force? focus on the role that marriage plays in the mobilization of labor, the accumulation of wealth, and domination versus dependency. They also address the crucial slippage between marriages and other forms of gendered violence, bondage, slavery, and servile status. Only by examining variations in practices from a multitude of perspectives can we properly contextualize the problem and its consequences. And while early and forced marriages have been on the human rights agenda for decades, there is today an unprecedented level of international attention to the issue, thus making the coherent, multifaceted approach of Marriage by Force? even more necessary.https://ohioopen.library.ohio.edu/oupress/1003/thumbnail.jp

Central Neurocytoma: A Review of Clinical Management and Histopathologic Features.

Central neurocytoma (CN) is a rare, benign brain tumor often located in the lateral ventricles. CN may cause obstructive hydrocephalus and manifest as signs of increased intracranial pressure. The goal of treatment for CN is a gross total resection (GTR), which often yields excellent prognosis with a very high rate of tumor control and survival. Adjuvant radiosurgery and radiotherapy may be considered to improve tumor control when GTR cannot be achieved. Chemotherapy is also not considered a primary treatment, but has been used as a salvage therapy. The radiological features of CN are indistinguishable from those of other brain tumors; therefore, many histological markers, such as synaptophysin, can be very useful for diagnosing CNs. Furthermore, the MIB-1 Labeling Index seems to be correlated with the prognosis of CN. We also discuss oncogenes associated with these elusive tumors. Further studies may improve our ability to accurately diagnose CNs and to design the optimal treatment regimens for patients with CNs

How I do it: Minimally invasive Cox-Maze IV procedure

Clinical vignette Our patient is a 66-year-old female with a 2-year history of atrial fibrillation (AF) and mitral valve prolapse who presented with dyspnea on exertion. She was found to be in AF upon her admission electrocardiogram. A transthoracic echocardiogram was performed demonstrating moderate-to-severe mitral regurgitation (MR) with a left atrial (LA) diameter of 5.1 cm and normal left ventricular (LV) function. After completion of her workup, it was decided that the patient would best be treated by a minimally invasive Cox-Maze IV (CMIV) and concomitant mitral valve procedure given her significant MR and symptoms. This article and accompanying video will discuss how the minimally invasive CMIV procedure is performed. Surgical technique

Volume CVI, Number 19, April 14, 1989

Institute of High Performance Computing, IHPC;University of Perugia, Italy;University of Calgary, Canada;University of Minnesota, MN, USA;Queen's University BelfastInternational Conference on Computational Science and Its Applications - ICCSA 2005 -- 9 May 2005 through 12 May 2005 -- 65625Discrete mathematics is one of the very basic mathematics courses in computer engineering (CE) and/or computer science (CS) departments. This course covers almost all of the basic concepts for many other courses in the curriculum and requires active learning of students. For this purpose, especially "propositions" concept, which cannot be understood well in prior years, should be covered with every detail. Previous studies show that learning by entertaining activities and competition has positive effect on student motivation. In this study, an Internet-based Discrete Mathematics Package (DMP) for "propositions" that can work in mobile devices and encourages competitive learning between students has been developed within related literature. © Springer-Verlag Berlin Heidelberg 2005

Classification of rheumatoid arthritis status with candidate gene and genome-wide single-nucleotide polymorphisms using random forests

Abstract Using the North American Rheumatoid Arthritis Consortium (NARAC) candidate gene and genome-wide single-nucleotide polymorphism (SNP) data sets, we applied regression methods and tree-based random forests to identify genetic associations with rheumatoid arthritis (RA) and to predict RA disease status. Several genes were consistently identified as weakly associated with RA without a significant interaction or combinatorial effect with other candidate genes. Using random forests, the tested candidate gene SNPs were not sufficient to predict RA patients and normal subjects with high accuracy. However, using the top 500 SNPs, ranked by the importance score, from the genome-wide linkage panel of 5742 SNPs, we were able to accurately predict RA patients and normal subjects with sensitivity of approximately 90% and specificity of approximately 80%, which was confirmed by five-fold cross-validation. However, in a complete training-testing framework, replication of genetic predictors was less satisfactory; thus, further evaluation of existing methodology and development of new methods are warranted.http://deepblue.lib.umich.edu/bitstream/2027.42/117372/1/12919_2007_Article_2426.pd

Resource dedication problem in a multi-project environment

There can be different approaches to the management of resources within the context of multi-project scheduling problems. In general, approaches to multiproject scheduling problems consider the resources as a pool shared by all projects. On the other hand, when projects are distributed geographically or sharing resources between projects is not preferred, then this resource sharing policy may not be feasible. In such cases, the resources must be dedicated to individual projects throughout the project durations. This multi-project problem environment is defined here as the resource dedication problem (RDP). RDP is defined as the optimal dedication of resource capacities to different projects within the overall limits of the resources and with the objective of minimizing a predetermined objective function. The projects involved are multi-mode resource constrained project scheduling problems with finish to start zero time lag and non-preemptive activities and limited renewable and nonrenewable resources. Here, the characterization of RDP, its mathematical formulation and two different solution methodologies are presented. The first solution approach is a genetic algorithm employing a new improvement move called combinatorial auction for RDP, which is based on preferences of projects for resources. Two different methods for calculating the projects’ preferences based on linear and Lagrangian relaxation are proposed. The second solution approach is a Lagrangian relaxation based heuristic employing subgradient optimization. Numerical studies demonstrate that the proposed approaches are powerful methods for solving this problem

Generalized Mittag-Leffler Distributions and Processes for Applications in Astrophysics and Time Series Modeling

Geometric generalized Mittag-Leffler distributions having the Laplace transform $\frac{1}{1+\beta\log(1+t^\alpha)},00$ is introduced and its properties are discussed. Autoregressive processes with Mittag-Leffler and geometric generalized Mittag-Leffler marginal distributions are developed. Haubold and Mathai (2000) derived a closed form representation of the fractional kinetic equation and thermonuclear function in terms of Mittag-Leffler function. Saxena et al (2002, 2004a,b) extended the result and derived the solutions of a number of fractional kinetic equations in terms of generalized Mittag-Leffler functions. These results are useful in explaining various fundamental laws of physics. Here we develop first-order autoregressive time series models and the properties are explored. The results have applications in various areas like astrophysics, space sciences, meteorology, financial modeling and reliability modeling.Comment: 12 pages, LaTe