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News Article | April 19, 2017
Site: www.prnewswire.co.uk

Are you looking for a definitive market report on the $17.7bn automotive glass industry? You will receive a highly granular automotive glass market analysis report, by Visiongain segmented by region, by application and by type, providing you with that complete industry outlook, essential for your business strategy. Automotive glass is perhaps one of the overlooked components of a vehicle which is taken for granted. However automotive glass contributes to the safety, stiffness and even road handling of a vehicle. In recent years, the trend towards fuel efficiency & light-weighting, driven by regulatory mandates to meet CO2 targets, has meant that automotive glass has been experiencing regular technological advances. Furthermore, rising global vehicle production, increases in the concerns over passenger safety, comfort & luxury, has resulted in newer glass technologies being developed and introduced. Discover where the automotive glass business opportunities are • 164 tables, charts, and graphs reveal market information allowing you to target your strategy more effectively Understand how the automotive glass market will develop? • Global, regional and automotive glass submarket forecasts and analysis from 2017-2027 illustrate the market progression See which applications of automotive glass will expand with Volume (Square. metre) & Value ($m) Forecasts from 2017-2027: Learn which vehicles will benefit the most with Volume (Square. metre) & Value ($m) Forecasts By Vehicle Type from 2017-2027: Find which types of automotive glass will thrive with Volume (Square. metre) & Value ($m) forecasts from 2017-2027: Analysis of emerging smart glass & other new technologies: Locate the regional and national automotive glass market opportunities from 2017-2027: Discover who the leading automotive glass companies are: Who is this report intended for: To request a report overview of this report please emails Sara Peerun at sara.peerun@visiongain.com or call Tel: +44-(0)-20-7336-6100 AGC Automotive Europe AGC Display Glass Yonezawa Co., Ltd Asahi Glass Co., Ltd. (AGC) Assovetro Audi Benson Auto Glass BMW Bundesverband Flachglas BF Carlex Carlex Glass Central Glass Co. Ltd Chevrolet Coming Inc. Continental Corporation Covestro Daimler Dupont Dura Automotive Systems Duratuf Glass Industries (P) Ltd. Fiat Ford Fuso Glass India Pvt Ltd Fuyao Glass America Inc. Fuyao Glass Industry Group Co., Ltd General Motors Glas Trösch Holding AG Guardian Industries Hitachi Chemicals Induver Holding JAAN Jaguar LKQ Corporation Magna International Mercedes-Benz Michigan Economic Development Corp. (MEDC) Nippon Sheet Glass (NSG) Nissan NordGlass Sp. z o.o. Olimpia Peugeot-Citroen (PSA) PGW Pilkington Pilkington India Pittsburgh Plate Glass Company (PPG) Polytronix PPG industries Renault Saint Gobain SA Samvardhana Motherson Automotive System Group Shatterprufe Shenzhen Benson Automobile Glass Co., Ltd. SISECAM Skoda Soliver Group Splintex Distribution (Glaverbel) Vitro, S.A.B. de C.V. Volkswagen,VW Webasto SE Xinyi Glass Holdings Limited Organisations Auto Glass Association (AGA) Auto Glass Safety Council Automotive Component Manufacturers Association (ACMA) Bureau of Indian Standards (BIS) China Automotive Association of Manufacturers (CAAM) European Union (EU) Glass Association of North America Independent Glass Association International Automotive Glass Federation International Council for Clean Transportation (ICCT) Japan Automotive Manufacturers Association (JAMA) Korea Automotive Manufacturers Association (KAMA) National Glass Association (NGA) Organisation Internationale des Constructeurs d'Automobiles (OICA) Society of Indian Automotive Manufacturers (SIAM) To see a report overview please email Sara Peerun on sara.peerun@visiongain.com


News Article | April 19, 2017
Site: www.prnewswire.com

Are you looking for a definitive market report on the $17.7bn automotive glass industry? You will receive a highly granular automotive glass market analysis report, by Visiongain segmented by region, by application and by type, providing you with that complete industry outlook, essential for your business strategy. Automotive glass is perhaps one of the overlooked components of a vehicle which is taken for granted. However automotive glass contributes to the safety, stiffness and even road handling of a vehicle. In recent years, the trend towards fuel efficiency & light-weighting, driven by regulatory mandates to meet CO2 targets, has meant that automotive glass has been experiencing regular technological advances. Furthermore, rising global vehicle production, increases in the concerns over passenger safety, comfort & luxury, has resulted in newer glass technologies being developed and introduced. Discover where the automotive glass business opportunities are • 164 tables, charts, and graphs reveal market information allowing you to target your strategy more effectively Understand how the automotive glass market will develop? • Global, regional and automotive glass submarket forecasts and analysis from 2017-2027 illustrate the market progression See which applications of automotive glass will expand with Volume (Square. metre) & Value ($m) Forecasts from 2017-2027: Learn which vehicles will benefit the most with Volume (Square. metre) & Value ($m) Forecasts By Vehicle Type from 2017-2027: Find which types of automotive glass will thrive with Volume (Square. metre) & Value ($m) forecasts from 2017-2027: Analysis of emerging smart glass & other new technologies: Locate the regional and national automotive glass market opportunities from 2017-2027: Discover who the leading automotive glass companies are: Who is this report intended for: To request a report overview of this report please emails Sara Peerun at sara.peerun@visiongain.com or call Tel: +44-(0)-20-7336-6100 AGC Automotive Europe AGC Display Glass Yonezawa Co., Ltd Asahi Glass Co., Ltd. (AGC) Assovetro Audi Benson Auto Glass BMW Bundesverband Flachglas BF Carlex Carlex Glass Central Glass Co. Ltd Chevrolet Coming Inc. Continental Corporation Covestro Daimler Dupont Dura Automotive Systems Duratuf Glass Industries (P) Ltd. Fiat Ford Fuso Glass India Pvt Ltd Fuyao Glass America Inc. Fuyao Glass Industry Group Co., Ltd General Motors Glas Trösch Holding AG Guardian Industries Hitachi Chemicals Induver Holding JAAN Jaguar LKQ Corporation Magna International Mercedes-Benz Michigan Economic Development Corp. (MEDC) Nippon Sheet Glass (NSG) Nissan NordGlass Sp. z o.o. Olimpia Peugeot-Citroen (PSA) PGW Pilkington Pilkington India Pittsburgh Plate Glass Company (PPG) Polytronix PPG industries Renault Saint Gobain SA Samvardhana Motherson Automotive System Group Shatterprufe Shenzhen Benson Automobile Glass Co., Ltd. SISECAM Skoda Soliver Group Splintex Distribution (Glaverbel) Vitro, S.A.B. de C.V. Volkswagen,VW Webasto SE Xinyi Glass Holdings Limited Organisations Auto Glass Association (AGA) Auto Glass Safety Council Automotive Component Manufacturers Association (ACMA) Bureau of Indian Standards (BIS) China Automotive Association of Manufacturers (CAAM) European Union (EU) Glass Association of North America Independent Glass Association International Automotive Glass Federation International Council for Clean Transportation (ICCT) Japan Automotive Manufacturers Association (JAMA) Korea Automotive Manufacturers Association (KAMA) National Glass Association (NGA) Organisation Internationale des Constructeurs d'Automobiles (OICA) Society of Indian Automotive Manufacturers (SIAM) To see a report overview please email Sara Peerun on sara.peerun@visiongain.com


News Article | May 23, 2017
Site: www.24-7pressrelease.com

WURTTENBERG, GERMANY, May 23, 2017-- Dr. Liudmila Belenki has been included in Marquis Who's Who. As in all Marquis Who's Who biographical volumes, individuals profiled are selected on the basis of current reference value. Factors such as position, noteworthy accomplishments, visibility, and prominence in a field are all taken into account during the selection process.Renowned for more than 40 years of professional excellence, Dr. Belenki has served as a mathematician and software developer at Dorner Health IT-Solutions since 2014 as well as a software consultant at Foresight Innovation Ltd, Israel since 2016. At the start of her career, she joined the Institute of Mechanics and Applied Mathematics at Southern Federal University in the roles of senior researcher, associate professor and docent. Subsequently, Dr. Belenki held similar positions for the Max-Planck Institute of Immunobiology and Epigentic's Information Systems Department, Albert-Ludwigs University, and the Fraunhofer Institute of Mechanics Materials.An alumnus of Southern Federal University, Dr. Belenki holds a diploma in applied mathematics and a doctorate in physics and mathematical sciences. Throughout her career, she has achieved much, including conducting research on the dynamic effects of the stability of the cylindrical viscoelastic-hereditary shells under periodic axial loads. She has also researched genetic algorithms, the development and conceptual design of databases, and the investigation of the reflectance spectrometry in legal medicine. Her findings have been published in such publications as the Journal of Laboratory Automation, the Journal of Biomedical Optics, the International Journal of Legal Medicine, and the SIAM Journal on Numerical Analysis. Notably, in 2016, Dr. Belenki was honored for her work through a feature in the 33rd volume of Who's Who in the World.About Marquis Who's Who :Since 1899, when A. N. Marquis printed the First Edition of Who's Who in America , Marquis Who's Who has chronicled the lives of the most accomplished individuals and innovators from every significant field of endeavor, including politics, business, medicine, law, education, art, religion and entertainment. Today, Who's Who in America remains an essential biographical source for thousands of researchers, journalists, librarians and executive search firms around the world. Marquis publications may be visited at the official Marquis Who's Who website at www.marquiswhoswho.com Contact:Fred Marks844-394-6946


News Article | May 18, 2017
Site: cleantechnica.com

At EMFLUX MOTORS, our startup based in Bangalore, India, we understand that mankind has only just begun to scratch the surface of the immense potential and opportunities that electric technology presents. Today, Transportation and Mobility employs purely electric power sources for cars and motorcycles alike with companies like Tesla driving and accelerating the world’s transition to electric vehicles, a vision paraphrased from their own eloquent words. We, at our humble workspaces at EMFLUX wholeheartedly believe that this is indeed the path to a clean, bright, and sustainable future. So, we are working hard to build something extraordinary and beautiful – something the likes of which this country has never seen. And we believe that you’re going to love it! So, what are we doing? We’re building an electric sports bike, and it’s going to look amazing. EMFLUX MOTORS was founded by CEO Varun Mittal, an IIT Delhi alumnus with a passion for electronics, robotics, and of course, fast motorcycles. After winning Robocon India 2007, he went on to be part of two $100m+ B2C startups, Jumia and Jugnoo as vertical head, and the founder core member, respectively. He was joined by his Jugnoo colleagues Ankit Khatry and Gulshan Sharma in founding his dream company. A couple of months later, his core team was strengthened by the addition of Vinay Raj Somashekar, a national level design competition winner (SIAM 2014), and ex-TVS Motorcycle Designer. These renegades, along with over 12 other passionate and talented engineers and designers from different disciplines now form the base upon which the future of this company’s history and that of India’s electric vehicle segment will be written. Emflux Motors has raised an undisclosed amount of funding in its seed round in September 2016. Investors who participated in the round were IIT and IIM Alumni. We are also looking to close the next round of funding to strengthen our team and develop technologies at a faster pace, and eventually to be a dominant player in this market. We strive to deliver sensational and aspirational products that will incite a lingering public interest in electric technology and put us at the forefront of the performance electric vehicle segment in India. Check out our new 93-page EV report. Join us for an upcoming Cleantech Revolution Tour conference! Keep up to date with all the hottest cleantech news by subscribing to our (free) cleantech daily newsletter or weekly newsletter, or keep an eye on sector-specific news by getting our (also free) solar energy newsletter, electric vehicle newsletter, or wind energy newsletter.


News Article | April 20, 2017
Site: www.eurekalert.org

Lyme disease is among the most common vector-borne illnesses in North America, Europe, and some parts of Asia. A spirochete bacterium called Borrelia burgdorferi causes the disease, and blacklegged ticks (Ixodes scapularis) are responsible for the majority of North American transmissions. Commonly known as deer ticks, blacklegged ticks exhibit two-year life cycles with the following four stages: eggs, larvae, nymphs, and adults. Larvae primarily attack white-footed mice, then become nymphs upon obtaining a blood meal. At the beginning of their second year, nymphs transform into adults and prey almost solely on white-tailed deer. Female ticks produce approximately 2,000 fertile eggs throughout their lives, nearly all of which hatch and continue the sequence. In the past, researchers have used various modeling techniques--including reaction-diffusion models, simulation models, and temperature-driven maps -- in attempts to better understand Lyme disease. In a paper publishing on Thursday, April 20 in the SIAM Journal on Applied Dynamical Systems, Xiunan Wang and Xiao-Qiang Zhao present a periodic time-delayed model of Lyme disease that incorporates seasonality and climate factors. "Seasonal variations in temperature, humidity, and resource availability have a strong effect on tick population dynamics," Wang said. "Climate impacts tick survival mostly during nonparasitic periods of the life cycle. Outside certain ranges of temperature and rainfall, tick populations cannot survive because these conditions directly kill the ticks or inhibit host-seeking activity." Previous models of the disease inspired the authors' current model, which handles seasonality and tick feeding activity particularly well. "We incorporate seasonality by assuming that the birth rate of ticks, the biting rate of ticks, and the strength of density dependence for adult ticks are positive, continuous, and periodic functions," Wang said. The authors address the larvae, nymph, and adult stages of the deer tick, and incorporate mice and deer as host populations. They identify three parameters to represent the different feeding durations of larvae, nymphs, and adults. "We need to be clear with the life cycle of ticks, including when they feed on two different hosts and how long they stay on the hosts," Wang said. "Involvement of three different tick life stages and two different hosts results in an eight-dimensional non-autonomous model with three different time delays." Wang and Zhao also identify variables for the densities of susceptible and infected mice, the densities of both uninfected and infected ticks at all stages of life, the density and birth rate of deer, mortality rates and feeding durations of all involved parties, susceptibility to infection, and individual biting rates of ticks. The authors evaluate all parameters and apply their model to Lyme disease transmission in Long Point, a hamlet in Ontario, Canada where the disease is widespread. "In recent years, northward invasive spread of the endemic tick vectors from the United States to nonendemic Canadian habitats has become a public health concern," Wang said. "Migratory songbirds play an integral role in the wide dispersal of ticks. Long Point Provincial Park on the northwestern shore of Lake Erie is famous for its migrating birds during spring and fall, and attracts thousands of birdwatchers. It is also one of the places where infected ticks are commonly found." Wang and Zhao utilize an existing algorithm to derive the basic reproduction ratio (R0), which acts as a threshold parameter when defining the model's global dynamics. They then use published data about monthly mean temperatures in Long Point from 1981-2010 to experiment with R0 levels, given changes in tick larvae birth rate. If R01, it will likely persist and exhibit periodic fluctuation. Ultimately, the authors' model yields a disease-free periodic solution. If nothing is done in the next few years, Lyme disease will be continue its prevalence in Long Point and exhibit periodic fluctuation. However, reducing the recruitment rate of tick larvae could eliminate it. The authors offer a few suggestions on how best to reduce this rate and prevent tick eggs from hatching into larvae. "It may be helpful to regularly search for the spots where adult ticks usually lay eggs, like in sheds, in woodpiles, under rocks, and in the crevices of walls," Wang said. "Since tick eggs are static, it is more feasible to focus on the clearance of eggs than to think about killing ticks of the other three life stages." However, because tick eggs are not macroscopically visible, Wang and Zhao suggest that the invention of equipment to detect them would certainly be useful. As long as the corresponding data is available, Wang and Zhao say that researchers can apply their model to the study of Lyme disease transmission in other parts of the world. They also hope to more thoroughly investigate ticks on songbirds, given the northward spread of the parasite to areas of Canada during migration season. "Since the ticks removed from songbirds consist of susceptible and infected nymphs, we may add a periodic function term into the susceptible and infectious nymph equations of our model, respectively," Wang said. "Such periodic terms can reflect the effect of seasonal migration of songbirds." Source article: Wang, X., & Zhao, X-Q. (2017). Dynamics of a Time-Delayed Lyme Disease Model with Seasonality. SIAM Journal on Applied Dynamical Systems. Xiunan Wang is a Ph.D. student in the Department of Mathematics and Statistics at the Memorial University of Newfoundland. Xiao-Qiang Zhao is a university research professor in the Department of Mathematics and Statistics at the Memorial University of Newfoundland. To obtain an advance copy of the paper or to schedule interviews with the authors, please email sorg@siam.org. Reporters are free to use this text so long as they acknowledge SIAM.


News Article | May 22, 2017
Site: www.eurekalert.org

Tamás Terlaky, chair of Lehigh University's Industrial and Systems Engineering department, along with fellow editors Miguel F. Anjos of Polytechnique Montréal and Shabbir Ahmed of Georgia Institute of Technology, has released a new textbook to "provide a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering, and the capabilities of these methods." Advances and Trends in Optimization with Engineering Applications, as published by the Mathematical Optimization Society and the Society for Industrial and Applied Mathematics (SIAM) is volume 24 of a prestigious MOS-SIAM series on optimization. This series, published jointly by the two organizations, includes research monographs, textbooks at all levels, books on applications, and tutorials. Topics covered by the series explore the theory and practice of optimization, discussing theory, algorithms, software, computational practice, applications, and the links among these subjects. Advances reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques that are of crucial importance to engineering practice. "In recent years," reads the book's description, "the theory and methodology of optimization have seen revolutionary improvement. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs." "From idea to product this was a 4-year-long project," Tamás explains. "The book includes 40 chapters, and covers all major areas of optimization and includes applications of modern optimization methodology in virtually all areas of engineering. Just designing its scope, content and structure took more than a year. Then, recruiting its 70 authors, among the most renowned experts in their respective fields, and working to unify terminology and notation across the content, was itself a major operation." Terlaky's research interests include high-performance optimization methods, optimization models, algorithms and software, and solving optimization problems in engineering sciences. Through his work, he harnesses algorithms to optimize the core refueling process of nuclear reactors, the radiation effectiveness of cancer treatment, the maintenance of oil refineries, the management of correctional facilities, and more. Over the course of his academic career, Terlaky has published 4 books and more than 160 scholarly papers. The topics of his publications include the theoretical and algorithmic foundations of Operations Research, and numerous engineering applications. He is founding editor-in-chief of the journal Optimization and Engineering and has served as associate editor of seven journals. He is a Fellow of the Toronto-based Fields Institute for Research in Mathematical Sciences, and has received the Canada's Mitacs Mentorship Award for his distinguished graduate student supervisory record. The book is available via SIAM's online bookstore, and will soon be available as an eBook in the SIAM digital library package for Universities and other venues.


News Article | May 29, 2017
Site: www.sciencedaily.com

The invasion of nonnative species has widespread and detrimental effects on both local and global ecosystems. These intruders often spread and multiply prolifically, overtake and displace native species, alter the intended interactions between flora and fauna, and damage the environment and economy. A particularly pesky invader is the zebra mussel (Dreissena polymorpha). Given its abundancy, fecundity, and heartiness, zebra mussels frequently outcompete native bivalves. Their dominance interrupts the natural cycle of nutrients and disrupts the structure and function of infested waterworks. These so-called "ecosystem engineers" generate substantial removal costs for individuals, corporations, and towns; estimates indicate that zebra mussels cause $1 billion in damages and control costs every year. While some species can easily spread upstream in unidirectional river environments, not all invasive species are able to do so. In a paper publishing on May 25th in the SIAM Journal on Applied Mathematics, Qihua Huang, Hao Wang, and Mark Lewis present a continuous-discrete hybrid population model that describes the invasive dynamics of zebra mussels in North American rivers. "We wanted to develop and apply a mathematical model to understand the interaction between population growth and dispersal, environmental conditions, and river flow in determining upstream invasion success of zebra mussels," Huang said. Since its introduction to North America in 1986, the zebra mussel has invaded several large rivers, including the Mississippi, Hudson, Ohio, and St. Lawrence. "Rivers are key natural resources, and once zebra mussels invade the consequences can be disastrous," Lewis said. "Not only are the rivers themselves affected, they can spread the zebra mussels to new downstream locations." The mussels consume algae that is otherwise meant for native fish populations, and are considered unsafe for human consumption because they accumulate pollutants and toxins when filtering. Three main phases -- larvae, juveniles, and adults -- characterize the mussel's life cycle. Larvae are planktonic, and drift through the water for a few days or weeks before setting on a surface and activating the juvenile stage. Upon sexual maturation in their second year of life, juveniles are considered adults and can reproduce once water temperatures are warm enough. "The larval life stage is relatively short compared to the zebra mussel lifespan," Huang said. "As a result, a model for the spread of zebra mussels in a river requires the introduction of different time scales." The authors chose to assume that settled larvae, juveniles, and adults all have the same survival rate. Zebra mussels' survival in North American rivers is contingent upon a myriad of physical, biological, and chemical factors, including -- but not limited to -- water temperature, flow rates, salinity, turbidity, and pH levels. They are most heavily affected by unidirectional water flow, which shifts river sediment, sweeps mussel larvae downstream, and inhibits attachment to the benthos -- the river bottom. "The dynamics of unidirectional water flow found in rivers can play an important role in determining invasion success," Huang said. "The alteration of hydrodynamic regimes associated with water management has direct effects on river ecosystem dynamics." As a result, it is difficult for zebra mussels to spread upstream in high flow rivers. Because the zebra mussel has unusual dynamics, classical models do not suffice. Instead, the authors develop and employ a novel, impulsive, spatially-explicit population model. "In the model, the dynamics of the dispersing larvae stage are governed by an advection diffusion-reaction equation, while juvenile and adult growth are described by two difference equations that map the population density in the current year to the population density in the next year," Huang said. These equations combine the process-oriented population growth model with a hydrological model, based on available data about river flow dynamics. Past researchers have proposed three measures of population persistence that reflect reproductive output of zebra mussels. The measures denote the fundamental niche of the population, the source-sink distribution, and the net reproductive rate (R ) -- the average number of adult mussels produced from a single adult throughout its lifetime. If R >1, a population will grow; if R <1, it will shrink. The authors extend these three traditional population measures to their hybrid model to investigate the impact of flow regime on distribution, profusion, and ultimate upstream spread. "We determined conditions for persistence of zebra mussels in rivers as a function of temperature and flow rate," Huang said. "The population persists in a river only when the flow velocity is low and the water temperature is moderate. We found that the population cannot persist in a river if it is unable to spread upstream." The authors' successful model offers multiple opportunities for further analysis. For example, one could adapt the model to study other environmental factors that affect population persistence, such as seasonality. "The living conditions for an invasive species and the hydrodynamics environment in a river can vary seasonally," Huang said. "The theory developed here could be extended to more general models by including seasonal variations in population growth and temporal variations of flow rate." Additionally, the active nature of rivers makes them prone to variable landscapes and inconsistencies. "Deep pools and shallows in a river are examples of heterogeneities that typically occur on shorter spatial scales than the whole stretch of a river," Huang said. "It would be interesting to further investigate how the heterogeneous landscapes affect the successful invasion of zebra mussels." The authors believe that these heterogeneities might make it possible for zebra mussels to persist in rivers even without upstream spread. Finally, the researchers could use their hybrid model to monitor the dynamics of other invasive species in rivers, such as the quagga mussel (Dreissena bugensis). "Quagga and zebra mussels possess similar morphologies, life cycles, and functional ecologies, but different sensitivities to environmental factors," Huang said. "Patterns of relative dominance and competitive exclusion amongst these species may vary over space and time. As a future effort, we plan to extend our single-species model to a competition model to understand how the interaction between flow rate and environmental factors impact the persistence, extinction, and competitive exclusion in rivers."

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