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News Article | May 22, 2017
Site: www.prnewswire.co.uk

Currently, Teewinot can produce commercial quantities of at least 18 different naturally-occurring cannabinoids in pharmaceutically pure form using its proprietary CannSynthesis™ technology, including:  THCA, THC, THCVA, THCV, CBDA, CBD, CBDVA, CBDV, CBCA, CBC, CBCVA, CBCV, CBGA, CBG, CBGVA, CBGV, CBNA and CBLA.  Dr. Richard Peet, Teewinot's Executive Vice President and co-inventor of the CannSynthesis™ technology stated, "We intend to unlock the Cannabis genome to unleash new methods of manufacturing cannabinoid-based therapies using proprietary biosynthetic methods.  Teewinot's drug discovery platform allows us to study naturally-occurring cannabinoids and use this knowledge to design novel cannabinoid prodrugs and analogs for specific therapeutic indications." Dr. Subha Madhavan stated, "We are excited to participate in a research program that will generate profound insights into how the Cannabis plant genome controls the synthesis of a diverse array of cannabinoids and other secondary metabolites.  It is our intention to use the knowledge gained to develop new methods of cannabinoid manufacture and harness these methods for development of new drugs and therapies.  We are excited to apply our genome analysis and enzyme modeling techniques to this project." Teewinot's Cannabis genome research program will allow the company to explore production of additional naturally-occurring cannabinoids and use this knowledge to develop next generation cannabinoid prodrugs and analogs.  Teewinot has implemented an aggressive drug discovery program in which its technology is being used to develop revolutionary new therapies in diverse fields including oncology, pain management and immunosuppression. Teewinot Life Sciences Corporation is an international biopharmaceutical company focused on advanced pharmaceutical research and the use of novel biosynthetic processes such as biocatalysis and synthetic biology for cannabinoid manufacture.  Coupled with patented formulation technologies, Teewinot is a leader in the production and delivery of cannabinoid-based therapies.  With headquarters in Tampa, Florida, Teewinot's global proprietary technology and intellectual property portfolio represent a breakthrough in the manufacture and delivery of cannabinoid-based pharmaceuticals.  For more information, please visit www.tlscorp.com or follow us on Twitter (@teewinot_corp).


News Article | December 15, 2016
Site: www.businesswire.com

NEW YORK--(BUSINESS WIRE)--Fitch Ratings has affirmed the following U.S. residential servicer ratings for CitiMortgage, Inc. (CMI): --U.S. Residential primary servicer rating for prime product at 'RPS2+', Outlook Stable; The affirmation of the primary servicer rating and Stable Outlook reflect CMI's comprehensive internal control environment, sustained improvement in audit results, and management and staffing turnover. The affirmation of the master servicer rating and Stable Outlook reflect CMI's established master servicing platform, improvement in Regulation AB (Reg AB) results, and the management and reporting structure transition. Both of the servicer ratings incorporate CMI's increased focus on operational efficiency, and the company's financial condition. CMI's parent, CitiBank, NA (CBNA) is rated 'A+'/Stable Outlook by Fitch. A company's financial condition is a component of Fitch's servicer rating analysis. CMI is headquartered in O'Fallon, MO, with multiple servicing sites in the U.S. and affiliate and third-party vendor sites in the Philippines, India and Guatemala. The master servicing operation is located in Irving, TX. Off-shore affiliate and vendor sites handle a significant portion of customer service and front-end collection calls in the Philippines and Guatemala, and back-office functions in India. As of Sept. 30, 2016, CMI was primary servicing over 1.5 million loans totaling $247.6 billion and master servicing more than 59,000 loans totaling $14.4 billion. The primary servicing portfolio, which included approximately 218,000 non-agency prime loans totaling $63.7 billion, continues to decrease through strategic asset sales of mortgage servicing rights (MSR) and whole loans. The master servicing portfolio includes legacy RMBS transactions as well as new master servicing assignments including several Redwood Trust issued Sequoia residential mortgage pass-thru certificates. CMI has a strong institutional framework for compliance and control utilizing its "three lines of defense" incorporating quality assurance (QA) and quality control (QC) as the first line; independent control functions as the second line, and internal audit as the third line. Since Fitch's prior review, QA transitioned to a risk based approach and continued its implementation of risk ratings for specific defects identified for each test. CMI has sustained improvement in audit results. Internal audit reports reviewed by Fitch for the current review period contained a relatively low number of significant findings. In addition, CMI's most recent Reg AB report for the year ended Dec. 31, 2015 contained no instances of material noncompliance for either the primary or master servicing operations. In the prior review period, master servicing had a separately issued Reg AB report that contained two instances of material non-compliance. Since Fitch's prior review, CMI's chief operating officer and managing director of servicing both left the company. In addition, master servicing was integrated into CMI's primary servicing investor operation in connection with the departure of the former head of master servicing. During the current review period, CMI experienced significantly higher turnover and utilization of temporary or contract workers in its servicing operations. CMI has increased its focus on operational efficiency in both primary and master servicing. Since Fitch's prior review, the primary servicing operation outsourced its high speed lockbox payment processing to TransCentra and transitioned REO management to a vendor model utilizing three asset management companies. The master servicing operation implemented a new risk based approach to servicer oversight that is expected to reduce the number of annual on-site servicer reviews. CMI also implemented several technology projects to increase efficiency and further the integration of master servicing into the primary servicing operation. Fitch rates residential mortgage primary, master, and special servicers on a scale of 1 to 5, with 1 being the highest rating. Within some of these rating levels, Fitch further differentiates ratings by plus (+) and minus (-) as well as the flat rating. For more information on Fitch's residential servicer rating program, please see Fitch's report 'Rating Criteria for U.S. Residential and Small Balance Commercial Mortgage Servicers', dated April 23, 2015 which is available on the Fitch Ratings web site at 'www.fitchratings.com'. Additional information is available at www.fitchratings.com. ALL FITCH CREDIT RATINGS ARE SUBJECT TO CERTAIN LIMITATIONS AND DISCLAIMERS. PLEASE READ THESE LIMITATIONS AND DISCLAIMERS BY FOLLOWING THIS LINK: HTTPS://WWW.FITCHRATINGS.COM/UNDERSTANDINGCREDITRATINGS. IN ADDITION, RATING DEFINITIONS AND THE TERMS OF USE OF SUCH RATINGS ARE AVAILABLE ON THE AGENCY'S PUBLIC WEB SITE AT WWW.FITCHRATINGS.COM. PUBLISHED RATINGS, CRITERIA, AND METHODOLOGIES ARE AVAILABLE FROM THIS SITE AT ALL TIMES. FITCH'S CODE OF CONDUCT, CONFIDENTIALITY, CONFLICTS OF INTEREST, AFFILIATE FIREWALL, COMPLIANCE, AND OTHER RELEVANT POLICIES AND PROCEDURES ARE ALSO AVAILABLE FROM THE CODE OF CONDUCT SECTION OF THIS SITE. FITCH MAY HAVE PROVIDED ANOTHER PERMISSIBLE SERVICE TO THE RATED ENTITY OR ITS RELATED THIRD PARTIES. DETAILS OF THIS SERVICE FOR RATINGS FOR WHICH THE LEAD ANALYST IS BASED IN AN EU-REGISTERED ENTITY CAN BE FOUND ON THE ENTITY SUMMARY PAGE FOR THIS ISSUER ON THE FITCH WEBSITE. Copyright © 2016 by Fitch Ratings, Inc., Fitch Ratings Ltd. and its subsidiaries. 33 Whitehall Street, NY, NY 10004. Telephone: 1-800-753-4824, (212) 908-0500. Fax: (212) 480-4435. Reproduction or retransmission in whole or in part is prohibited except by permission. 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Users of Fitch’s ratings and reports should understand that neither an enhanced factual investigation nor any third-party verification can ensure that all of the information Fitch relies on in connection with a rating or a report will be accurate and complete. Ultimately, the issuer and its advisers are responsible for the accuracy of the information they provide to Fitch and to the market in offering documents and other reports. In issuing its ratings and its reports, Fitch must rely on the work of experts, including independent auditors with respect to financial statements and attorneys with respect to legal and tax matters. Further, ratings and forecasts of financial and other information are inherently forward-looking and embody assumptions and predictions about future events that by their nature cannot be verified as facts. 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Mikolajczak A.,CBNA | Marechal D.,IRSTEA | Sanz T.,CBNA | Isenmann M.,CBNA | And 3 more authors.
Ecological Informatics | Year: 2015

Safeguarding biodiversity has been one of the most important issues on the environmental and forest policies agenda since the 1990s. The problem remains in terms of decisions and knowledge on where to set appropriate conservation targets. Hence, we need detailed and reliable information about habitat structure and composition and methods for estimating this information over the whole spatial domain. In answer to this target, in France, the Ministry of Ecology launched an ambitious project to map the terrestrial vegetation at a scale of 1:25,000 known as CarHAB. This project initiated in 2011, will be used as a strategic spatial planning tool in answer to key issues in relation to biodiversity, conservation, green infrastructures and to report on the conservation status of habitats and species of community interest.We use species-distribution models (SDMs) to identify areas that are ecologically suitable for the presence of species based on specific habitat characteristics. Available techniques using graph theory enable identification of groups of species (assemblages) based on ecological affinities. Species co-occurrences (present within the same assessment plot), revealing a shared ecological niche, are analysed using algorithms derived from graph theory in order to define different nodes of species affinities. Thus, the resulting assemblages are based on ecological similarities. Hence, these assemblages are used to develop models of the potential distribution of alpine vegetation communities. The BIOMOD platform is used to facilitate the simultaneous implementation of different modelling approaches that can be compared in order to choose the most suitable and accurate for each species assemblage obtained from graph theory. Using the different relevant spatially explicit results provides a more comprehensive vision of the communities' spatial distributions. © 2015 Elsevier B.V.


Mikolajczak A.,CBNA | Marechal D.,IRSTEA | Sanz T.,CBNA | Isenmann M.,CBNA | And 3 more authors.
Ecological Informatics | Year: 2015

Safeguarding biodiversity has been one of the most important issues on the environmental and forest policies agenda since the 1990s. The problem remains in terms of decisions and knowledge on where to set appropriate conservation targets. Hence, we need detailed and reliable information about habitat structure and composition and methods for estimating this information over the whole spatial domain. In answer to this target, in France, the Ministry of Ecology launched an ambitious project to map the terrestrial vegetation at a scale of 1:25,000 known as CarHAB. This project initiated in 2011, will be used as a strategic spatial planning tool in answer to key issues in relation to biodiversity, conservation, green infrastructures and to report on the conservation status of habitats and species of community interest.We use species-distribution models (SDMs) to identify areas that are ecologically suitable for the presence of species based on specific habitat characteristics. Available techniques using graph theory enable identification of groups of species (assemblages) based on ecological affinities. Species co-occurrences (present within the same assessment plot), revealing a shared ecological niche, are analysed using algorithms derived from graph theory in order to define different nodes of species affinities. Thus, the resulting assemblages are based on ecological similarities. Hence, these assemblages are used to develop models of the potential distribution of alpine vegetation communities. The BIOMOD platform is used to facilitate the simultaneous implementation of different modelling approaches that can be compared in order to choose the most suitable and accurate for each species assemblage obtained from graph theory. Using the different relevant spatially explicit results provides a more comprehensive vision of the communities' spatial distributions. © 2015 Elsevier B.V.

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