News Article | November 2, 2016
STAMFORD, CT--(Marketwired - November 02, 2016) - Protegrity, the leading provider of data-centric enterprise data security solutions, announced today that Shelley Westman has joined the company as Senior Vice President of Alliances & Field Operations, reporting to Protegrity CEO Suni Munshani. Westman comes to Protegrity from IBM's Security Business Unit, where she was a Vice President responsible for overall operations and strategic integration initiatives. In this role she also led University Programs for IBM Security and was involved in several IBM boards and committees related to hiring and skills development. She also founded WISE -- Women in Security Excelling, a group within IBM aimed at fostering more women to participate in cybersecurity, one of the technology industry's fastest growing fields. Some of Westman's previous roles included Vice President, Security Growth Initiatives, IBM Global Technology Services (GTS); Vice President, Strategy, IBM Systems and Technology Group (STG); and Vice President and BLE, Security, IBM STG. Prior to joining IBM in 1999, Westman practiced law in Raleigh for five years. Shelley earned a J.D., with honors, from the University of North Carolina School of Law. Her undergraduate degree is from UMASS, Amherst where she graduated Cum Laude. "We are thrilled to have Shelley join the Protegrity executive team at a time when we are experiencing tremendous growth," said Munshani. "She will use her talent and experience to position Protegrity as the best partner to meet the needs of our rapidly expanding global customer base and partner ecosystem." "What Protegrity is doing to help companies protect their most sensitive data is game-changing," said Westman. "Customers and prospects are relying on us to make their top critical business initiatives a success, while partners are reaching out to collaborate in powerful ways to address their clients' data security needs." About Protegrity: Proven Experts in Data Security Protegrity is the only enterprise data security software platform that leverages scalable, data-centric encryption, tokenization and masking to help businesses secure sensitive information while maintaining data usability. Built for complex, heterogeneous business environments, the Protegrity Data Security Platform provides unprecedented levels of data security certified across applications, data warehouses, mainframes, big data, and cloud environments. Companies trust Protegrity to help them manage risk, achieve compliance, enable business analytics, and confidently adopt new platforms. For additional information visit www.protegrity.com. © 2016 Protegrity USA, Inc. All rights reserved. Protegrity and the Protegrity logo are trademarks of Protegrity Corporation. All other trademarks are the property of their respective owners. CONNECT WITH PROTEGRITY: Follow us on Twitter Follow us on LinkedIn
Padma S.,AIIMS |
Archives of Medical Science | Year: 2010
The NINDS trial demonstrated for the first time the effectiveness of intravenous thrombolysis in improving outcome after acute ischemic stroke. The absolute benefit of this intervention was 11-13% greater chance of being normal or near normal (MRS ≤ 1) at 3 months. However, if patients with severe stroke were considered (NIHSS ≥ 20), the absolute benefit dropped to 5-6%, indicating that IV thrombolysis may not be as effective for large vessel occlusion. This observation was further supported by TCD studies that clearly demonstrated that large artery occlusions had a recanalization rate of 13-18% with IV rt-PA. Intra-arterial thrombolysis achieves recanalization rates of 60-70%. Since tissue viability is clearly important, it is time to stop defining rigid time windows and if there is a large penumbra (20-50%) and the occlusion is in a large artery, there exists a logic and a growing evidence to consider either bridge therapy or direct intra-arterial therapy. Copyright © 2010 Termedia & Banach.
Melby M.K.,University of Delaware |
Melby M.K.,National Institute of Health and Nutrition |
Sievert L.L.,UMass |
Anderson D.,Queensland University of Technology |
Maturitas | Year: 2011
This paper reviews the methods used in cross-cultural studies of menopausal symptoms with the goal of formulating recommendations to facilitate comparisons of menopausal symptoms across cultures. It provides an overview of existing approaches and serves to introduce four separate reviews of vasomotor, psychological, somatic, and sexual symptoms at midlife. Building on an earlier review of cross-cultural studies of menopause covering time periods until 2004, these reviews are based on searches of Medline, PsycINFO, CINAHL and Google Scholar for English-language articles published from 2004 to 2010 using the terms "cross cultural comparison" and "menopause." Two major criteria were used: a study had to include more than one culture, country, or ethnic group and to have asked about actual menopausal symptom experience. We found considerable variation across studies in age ranges, symptom lists, reference period for symptom recall, variables included in multivariate analyses, and the measurement of factors (e.g., menopausal status and hormonal factors, demographic, anthropometric, mental/physical health, and lifestyle measures) that influence vasomotor, psychological, somatic and sexual symptoms. Based on these reviews, we make recommendations for future research regarding age range, symptom lists, reference/recall periods, and measurement of menopausal status. Recommendations specific to the cross-cultural study of vasomotor, psychological, somatic, and sexual symptoms are found in the four reviews that follow this introduction. © 2011 Elsevier Ireland Ltd. All rights reserved.
Khalili R.,Ecole Polytechnique Federale de Lausanne |
Goeckel D.L.,UMASS |
Towsley D.,UMASS |
Swami A.,U.S. Army
Proceedings - IEEE INFOCOM | Year: 2010
Neighbor discovery is essential for the process of self-organization of a wireless network, where almost all routing and medium access protocols need knowledge of one-hop neighbors. In this paper we study the problem of neighbor discovery in a static and synchronous network, where time is divided into slots, each of duration equal to the time required to transmit a hello message, and potentially, some sort of feedback message. Our main contributions lie in detailing the physical layer mechanism for how nodes in receive mode detect the channel status, describing algorithms at higher layers that exploit such a knowledge, and characterizing the significant gain obtained. In particular, we describe one possible physical layer architecture that allows receivers to detect collisions, and then introduce a feedback mechanism that makes the collision information available to the transmitters. This allows nodes to stop transmitting packets as soon as they learn about the successful reception of their discovery messages by the other nodes in the network. Hence, the number of nodes that need to transmit packets decreases over time. These nodes transmit with a probability that is inversely proportional to the number of active nodes in their neighborhood, which is estimated using the collision information available at the nodes. We show through analysis and simulations that our algorithm allows nodes to discover their neighbors in a significantly smaller amount of time compared to the case where reception status feedback is not available to the transmitters. ©2010 IEEE.
News Article | December 13, 2016
William Landesman, a licensed real estate agent in the Palm Springs, Rancho Mirage, Palm Desert, Indian Wells, and La Quinta, CA markets, has rejoined the prestigious Haute Living Real Estate Network. The Haute Living Real Estate Network (HLRN) of Hauteresidence.com is proud to recognize William Landesman as a prominent real estate professional and the network’s established partner. HLRN unites a distinguished collective of leading real estate agents and brokers, highlighting the most extravagant properties in leading markets around the globe for affluent buyers, sellers and real estate enthusiasts. William Landesman, of Bennion Deville Homes, brings his vast real estate experience and expertise to the desert communities of the Coachella Valley with a focus on customer service and the ability to understand the needs of his clients, allowing him to provide service above and beyond expectations. His clients’ endorsements clearly speak to this with commonly used accolades like “knowledge, guidance, professionalism, conscientious, and responsive.” His success is proven by the professional recognition he’s received including Rookie of the Year during his first year in business, ranking in the top 3% of agents nationally and the top 6% of agents worldwide at his New Jersey brokerage. William Landesman’s focus on customer service and the ability to understand the needs of his clients allows him to provide service above and beyond expectations. His clients’ endorsements clearly speak to this with commonly used phrases like “knowledge, guidance, and professionalism,” “instrumental and valuable,” and “personal, conscientious, and responsive.” A Massachusetts native and a long-time resident of the greater New York City metropolitan area, William brought his vast real estate experience and expertise to the Coachella Valley’s desert communities. With a storied equestrian background, William has competed nationally for the UMASS Equestrian Team and continued training with Olympic Dressage riders in the US and Europe. He transitioned that experience into a rewarding sales and marketing career before launching a successful and highly respected real estate business serving the needs of communities in New Jersey’s famed horse hunt country and beyond. For the past nine years, William has sat on the Board of Governors of the Equestrian Aid Foundation, which was set up to help people in the horse industry who find themselves in need due to illness or accident. Let William guide you through selling or buying your next home and experience for yourself the level of service and professionalism others have witnessed first-hand. Bennion Deville Homes is one of the largest independent real estate brokerages in Southern California, serving the region from 29 offices throughout the Coachella Valley, San Diego and Orange counties. The powerhouse company serves the Coachella Valley from offices in Palm Springs, Rancho Mirage, Palm Desert, Indian Wells, La Quinta, Bermuda Dunes, and Indio. The LUXE Collection program lists and showcases some of the finest properties available on the market, maximizing exposure of high-end luxury homes to qualified buyers across a variety of mediums and channels. The prestige of the LUXE Collection combined with the strength of the international reach provided by an exclusive strategic partnership with Leading Real Estate Companies of the World® and Luxury Portfolio® gives Bennion Deville Homes agents continued local dominance with an international reach.
News Article | December 19, 2016
Receive press releases from UMASS Amherst Isenberg School of Management: By Email CISDM Equal Weighted Hedge Fund Index Indicates a Positive Performance of 0.63% for November Amherst, MA, December 19, 2016 --( The following displays the performance of CISDM sub-indices. CISDM Equal Weighted Hedge Fund Index Nov % Return: 0.63% YTD % Return: 5.43% CISDM Distressed Securities Index Nov % Return: 1.50% YTD % Return: 9.36% CISDM Equity Long/Short Index Nov % Return: 1.15% YTD % Return: 3.79% CISDM Equity Market Neutral Index Nov % Return: 0.21% YTD % Return: 0.53% CISDM Event Driven Multi-Strategy Index Nov % Return: 2.46% YTD % Return: 7.16% CISDM Fixed Income Arbitrage Index Nov % Return: -0.05% YTD % Return: 4.97% CISDM Global Macro Index Nov % Return: 0.61% YTD % Return: 0.69% CISDM CTA Equal Weighted Index Nov % Return: -0.29% YTD % Return: 3.85% CISDM Fund of Funds Diversified Index Nov % Return: 0.40% YTD % Return: 0.19% S&P 500 Nov % Return: 3.70% YTD % Return: 9.79% MSCI ACWI Nov % Return: 4.82% YTD % Return: 7.52% Barclays US Aggergate Nov % Return: -2.37% YTD % Return: 2.50% The Morningstar CISDM Database (formerly the MAR Database) is the oldest Hedge Fund and CTA database in the market. Tracking qualitative and quantitative information for more than 5000 hedge funds, funds of funds and CTAs since 1994, it is the only database associated with a nonprofit organization. This adds a layer impartiality to their data that other indexes cannot boast. This database is subscribed to by a number of universities and financial institutions. The CISDM places the Isenberg School in the forefront of academic institutions that conduct research into derivatives, alternative investments and asset and risk management, and promotes interactions between the academic and business communities. Have any questions about the CISDM or want to know more about the CISDM-Morningstar Hedge Fund Database and the monthly flash indexes? Hossein Kazemi, the Michael and Cheryl Philipp Endowed Professor Finance at the Isenberg School, is available for comments and interviews. For media inquiries please contact: Kirk Monroe email@example.com 202-207-3646 About the Isenberg School of Management Founded in 1947, the Isenberg School of Management on the University of Massachusetts flagship Amherst campus has 42,000 alumni in 86 countries. Isenberg offers its AACSB-accredited courses to 4,800 students on campus, online, and in blended formats. The School’s 3,400 undergraduates major in seven business disciplines, including industry specialties such as hospitality & tourism management and sport management. Over 1,400 students are enrolled in the Isenberg MBA and they can focus their studies in Health Care Administration, Entrepreneurship, Finance and Marketing. For more information, visit www.Isenberg.umass.edu. Amherst, MA, December 19, 2016 --( PR.com )-- UMass Amherst’s Isenberg School of Management’s Center for International Securities and Derivatives Markets (CISDM) has released its Flash November Equally Weighted Hedge Fund Index. The CISDM Equal Weighted Hedge Fund Index was up 0.63% for the month of November. This brought the year-to-date return to 5.43%. The full version of the index will be released on December 23.The following displays the performance of CISDM sub-indices.CISDM Equal Weighted Hedge Fund IndexNov % Return: 0.63%YTD % Return: 5.43%CISDM Distressed Securities IndexNov % Return: 1.50%YTD % Return: 9.36%CISDM Equity Long/Short IndexNov % Return: 1.15%YTD % Return: 3.79%CISDM Equity Market Neutral IndexNov % Return: 0.21%YTD % Return: 0.53%CISDM Event Driven Multi-Strategy IndexNov % Return: 2.46%YTD % Return: 7.16%CISDM Fixed Income Arbitrage IndexNov % Return: -0.05%YTD % Return: 4.97%CISDM Global Macro IndexNov % Return: 0.61%YTD % Return: 0.69%CISDM CTA Equal Weighted IndexNov % Return: -0.29%YTD % Return: 3.85%CISDM Fund of Funds Diversified IndexNov % Return: 0.40%YTD % Return: 0.19%S&P 500Nov % Return: 3.70%YTD % Return: 9.79%MSCI ACWINov % Return: 4.82%YTD % Return: 7.52%Barclays US AggergateNov % Return: -2.37%YTD % Return: 2.50%The Morningstar CISDM Database (formerly the MAR Database) is the oldest Hedge Fund and CTA database in the market. Tracking qualitative and quantitative information for more than 5000 hedge funds, funds of funds and CTAs since 1994, it is the only database associated with a nonprofit organization. This adds a layer impartiality to their data that other indexes cannot boast. This database is subscribed to by a number of universities and financial institutions.The CISDM places the Isenberg School in the forefront of academic institutions that conduct research into derivatives, alternative investments and asset and risk management, and promotes interactions between the academic and business communities.Have any questions about the CISDM or want to know more about the CISDM-Morningstar Hedge Fund Database and the monthly flash indexes? Hossein Kazemi, the Michael and Cheryl Philipp Endowed Professor Finance at the Isenberg School, is available for comments and interviews.For media inquiries please contact:Kirk Monroekmonroe@rasky.com202-207-3646About the Isenberg School of ManagementFounded in 1947, the Isenberg School of Management on the University of Massachusetts flagship Amherst campus has 42,000 alumni in 86 countries. Isenberg offers its AACSB-accredited courses to 4,800 students on campus, online, and in blended formats. The School’s 3,400 undergraduates major in seven business disciplines, including industry specialties such as hospitality & tourism management and sport management. Over 1,400 students are enrolled in the Isenberg MBA and they can focus their studies in Health Care Administration, Entrepreneurship, Finance and Marketing.For more information, visit www.Isenberg.umass.edu. Click here to view the list of recent Press Releases from UMASS Amherst Isenberg School of Management
Harris A.R.,UMass |
Fisher G.A.,UMass |
Thomas S.H.,University of Oklahoma
Journal of Trauma and Acute Care Surgery | Year: 2012
BACKGROUND: Since 1900, thousands of medical journal articles have been published on the topic of racial disparities in health and medical outcomes in the United States, including overlapping disparities based on health insurance status. But research on the question of such disparities in the medical treatment of injury from assault-matters of public safety, considerable public expense, and policy debate-is lacking. METHODS: To determine differences by race and insurance status on death from intentional injury by others on and after trauma center arrival, propensity score matching is used to estimate adjusted mortality risk ratios by race and medical insurance controlling for facility, case, and injury characteristics. Analysis is based on a nationally representative sample of 100 Level I and II US trauma centers (National Trauma Data Bank 2005-2008) and includes 137,618 black and white assault cases aged 15 years and older: 35% white, and 65% black, with 46% of the whites and 60% of the blacks coded as uninsured. RESULTS: Black patients showed higher overall raw mortality rates from assault than whites (8.9% vs. 5.1%), but after propensity score matching, the black to white adjusted risk ratio for death from assault (homicide) dropped significantly across firearm, cutting/piercing, and blunt injuries. After adjustment, estimated black deaths were 29% in excess of white deaths for firearm injuries, 36% in excess for cutting/piercing injuries, and 61% in excess for blunt injuries. Uninsured blacks comprised 76% of all excess trauma center deaths from assault. CONCLUSIONS: Along with insurance status, and after excluding on-scene deaths, among patients brought to the Level I and II trauma centers, race is a substantial independent predictor of who dies from assault. Blacks, especially the uninsured, have significantly worse outcomes overall, but there is some evidence that this pattern is minimized at higher levels of injury severity. Copyright © 2012 by Lippincott Williams & Wilkins.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011
Many end stage renal disease (ESRD) patients suffer from anemia due to insufficient endogenous production of erythropoietin (EPO). The discovery of recombinant human EPO (rHuEPO) over 30 years ago has shifted the treatment of anemia for patients on dialysis from blood transfusions to rHuEPO therapy. Many anemia management protocols (AMPs) used by clinicians comprise a set of experience-based rules for weekly-to-monthly titration of rHuEPO doses based on hemoglobin (Hgb) measurements. In order to facilitate the design of an AMP based on formal control design methods, we present a physiologically-relevant erythropoiesis model, and show that its nonlinear dynamics can be approximated using a static nonlinearity, a step that greatly simplifies AMP design. We demonstrate applicability of our results using clinical data.
Maruseac M.,UMass |
CODASPY 2016 - Proceedings of the 6th ACM Conference on Data and Application Security and Privacy | Year: 2016
Provenance workflows capture movement and transformation of data in complex environments, such as document management in large organizations, content generation and sharing in in social media, scientific computations, etc. Sharing and processing of provenance workflows brings numerous benefits, e.g., improving productivity in an organization, understanding social media interaction patterns, etc. However, directly sharing provenance may also disclose sensitive information such as confidential business practices, or private details about participants in a social network. We propose an algorithm that privately extracts sequential association rules from provenance workflow datasets. Finding such rules has numerous practical applications, such as capacity planning or identifying hot-spots in provenance graphs. Our approach provides good accuracy and strong privacy, by leveraging on the exponential mechanism of differential privacy. We propose an heuristic that identifies promising candidate rules and makes judicious use of the privacy budget. Experimental results show that the our approach is fast and accurate, and clearly outperforms the state-of-the-art. We also identify influential factors in improving accuracy, which helps in choosing promising directions for future improvement.
Maggs B.M.,Duke and Akamai |
Computer Communication Review | Year: 2015
This paper "peeks under the covers" at the subsystems that provide the basic functionality of a leading content delivery network. Based on our experiences in building one of the largest distributed systems in the world, we illustrate how sophisticated algorithmic research has been adapted to balance the load between and within server clusters, manage the caches on servers, select paths through an overlay routing network, and elect leaders in various contexts. In each instance, we first explain the theory underlying the algorithms, then introduce practical considerations not captured by the theoretical models, and finally describe what is implemented in practice. Through these examples, we highlight the role of algorithmic research in the design of complex networked systems. The paper also illustrates the close synergy that exists between research and industry where research ideas cross over into products and product requirements drive future research.