Roosevelt University

About: Roosevelt University is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Electron paramagnetic resonance & Population. The organization has 751 authors who have published 1482 publications receiving 44299 citations.

Working conditions in urban schools

Abstract: The recent wave of reform reports in education promulgated a wide variety of recommendations to address identified concerns This research explores an issue mostly ignored by the reform reports, the working conditions teachers face Utilizing ethnographic techniques and multisite analyses of in-depth case studies of six schools in two large urban areas, the authors identify five broad categories of stressors in the work environment, including governance/leadership, budget cuts, security, staff relations, and student issues In addition, two major themes characterizing working conditions for teachers are specified, the no respect syndrome and barriers to teaching The need to address these issues before attempting to implement the major reforms in the national reports is highlighted

Women, the Family, and the Fate of the Nation in American Anti-Catholic Narratives, 1830-1860

Abstract: In august 1849 new York city police arrested Maria Monk for picking the pockets of her paramour. Newspapers in both Boston and New York reported that the arrest occurred near her "den," a euphemism for a brothel, in the Five Points district of New York.1 In the minds and eyes of cultured middle-class men and women the Five Points was a despicable area of poor brothels, detestable crime, vermin, and disease best avoided by all respectable women. No virtuous family could survive within this "veritable sink of iniquitous pleasures."2 The degraded reputation of the area also permeated the popular literature of the day. Upon arriving in the Five Points, Peter Precise, the fictional hero in Ned Buntline's 1848 novel, The Mysteries and Miseries of New York, exclaimed: "Oh God! Can this be a Christian city?"3 The arrest of a prostitute in the Five Points district, therefore, did not typically arouse much interest or surprise. Maria Monk, however, was a special case.4 Monk had captured the minds and imaginations of Americans in 1836, when, with the aid of Protestant ministers in New York, she published her autobiography, Awful Disclosures of the Hotel-Dieu Nunnery} In her book Monk shocked the country by disclosing the terrible ordeals she had suffered among the nuns and priests in the Hotel-Dieu Nunnery in Montreal,

Big Data Customer Knowledge Management

Abstract: Knowledge management (KM) and customer relationship management (CRM) are dominant strategies for value creation for businesses in the new economy. Customer knowledge management (CKM) results in the merging of KM and CRM, where the knowledge management process is applied to customer knowledge, and customer knowledge is applied to customer relationship management operations. With the emergence of big data as the latest phase in the evolution of technology in business, CKM strategies need to be adjusted to meet the new challenges, changing from an internal organizational focus to new external channels such as social media and machine communications. This paper explores the concept of big data customer knowledge management. It presents an architecture that integrates CRM operations and KM processes with big data technologies that include NoSQL databases, Hadoop Distributed File System, MapReduce, and platforms for social media and machine-to-machine communications. Keywords: big data, knowledge management, customer relationship management, customer knowledge management, social media, M2M. INTRODUCTION Customer relationship management (CRM) and knowledge management (KM) are value creation strategies that exploit the relationship and knowledge assets in order to maximize opportunities and achieve business goals. CRM helps companies to acquire new customers, retain existing customers, and increase profitability and market share. KM concerns with the creation, sharing, maintaining, and utilization of knowledge within an organization. It has evolved from the internal focus of product and operational excellence to an external focus of enhancing business processes across the extended enterprise. The merging of the two disciplines of KM and CRM has become an area of interest in business and academia. Gibbert, Leibold, and Probst (2002) described customer knowledge management (CKM) as the management of knowledge from customers, empowering customers as knowledge partners. Customer knowledge management also refers to KM models in which customer knowledge is applied to support CRM processes (Bueren, Schierholz, Kolbe, & Brenner, 2004; Gebert , Geib, Kolbe, & Riempp, 2002; Gebert, Geib, Kolbe, & Brenner, 2003). In this paper, the extension of the CKM model in the era of big data is explored. Minelli Chambers, and Dhiraj (2013) described the emergence of the big data era as resulting from three dominant trends: the exponential growth of processing power, the accessibility of data with high volume, velocity and variety, and the convergence of traditional data management technologies, open-sourced technologies and commodity hardware. Big data are datasets whose requirements for storage, processing and analytics are beyond the prevalent technology capacity of the time. Contributing to the characteristics of big data are high volume, high velocity and high variety. With the proliferation of the Internet, social media and mobile computing, the impact of big data is felt in many sectors and industries. The capability of business to exploit big data to gain actionable insights is becoming a critical strategy to create competitive advantages. Customer knowledge management takes on new dimensions in the era of big data. Customer knowledge is acquired from sources beyond traditional CRM transactions to include big data sources such as call centers, Web logs, emails, surveys, social media and machine-to-machine communications. Knowledge creation, dissemination and sharing within an organization are extended to include other external communication media. New strategies in CRM emerge to leverage big data channels. They include listening and engaging through social media, interactions via machine-to-machine communications, in addition to high volume and high variety transactions through call centers and the Web. This paper combines the perspectives of knowledge management and customer relationship management in the era of big data. …

Clause shortening combined with pruning yields a new upper bound for deterministic SAT algorithms

Abstract: We give a deterministic algorithm for testing satisfiability of Boolean formulas in conjunctive normal form with no restriction on clause length. Its upper bound on the worst-case running time matches the best known upper bound for randomized satisfiability-testing algorithms [6]. In comparison with the randomized algorithm in [6], our deterministic algorithm is simpler and more intuitive.

Design, synthesis and biological activity of N4-phenylsubstituted-7H-pyrrolo[2,3-d]pyrimidin-4-amines as dual inhibitors of aurora kinase A and epidermal growth factor receptor kinase.

Abstract: Simultaneous inhibition of multiple kinases has been suggested to provide synergistic effects on inhibition of tumour growth and resistance. This study describes the design, synthesis and evaluation of 18 compounds incorporating a pyrrolo[2,3-d]pyrimidine scaffold for dual inhibition of epidermal growth factor receptor kinase (EGFR) and aurora kinase A (AURKA). Compounds 1-18 of this study demonstrate nanomolar inhibition of EGFR and micromolar inhibition of AURKA. Compounds 1-18 allow for a structure-activity relationships (SAR) analysis of the 4-anilino moiety for dual EGFR and AURKA inhibition. Compound 6, a 4-methoxyphenylpyrrolo[2,3-d]pyrimidin-4-amine, demonstrates single-digit micromolar inhibition of both AURKA and EGFR and provides evidence of a single molecule with dual activity against EGFR and AURKA. Compound 2, the most potent inhibitor of EGFR and AURKA from this series, has been further evaluated in four different squamous cell head and neck cancer cell lines for downstream effects resulting from AURKA and EGFR inhibition.