Sample records for information system iris

  1. 78 FR 18426 - Proposed Information Collection (IRIS) Activity; Comment Request

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-26

    ... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-0619] Proposed Information Collection (IRIS... through the Inquiry Routing and Information System (IRIS). DATES: Written comments and recommendations on... information technology. Title: Inquiry Routing and Information System (IRIS), VA Form 0873. OMB Control Number...

  2. 78 FR 23233 - Agency Information Collection Activities; Comment Request; IEPS International Resource...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-18

    ...; Comment Request; IEPS International Resource Information System (IRIS) AGENCY: Office of Postsecondary... System (IRIS). OMB Control Number: 1840-0759. Type of Review: a revision of an existing information... reporting system, International Resource Information System (IRIS) that IFLE uses to collect annual...

  3. 78 FR 49486 - Agency Information Collection Activities; Submission to the Office of Management and Budget for...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-14

    ... International Resource Information System (IRIS) AGENCY: Office of Postsecondary Education (OPE), Department of... Resource Information System (IRIS). OMB Control Number: 1840-0759. Type of Review: Revision of an existing... Information System (IRIS) that IFLE uses to collect annual performance reports from Title VI and Fulbright...

  4. IRIS Toxicological Review of Hexahydro-1,3,5-Trinitro-1,3,5 ...

    EPA Pesticide Factsheets

    EPA is developing an Integrated Risk Information System (IRIS) assessment of hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) and has released the draft assessment for public comment. When final, the assessment will appear on the IRIS database. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for RDX. The outcome of this project is an updated Toxicological Review and IRIS Summary for RDX that will be entered into the IRIS database.

  5. IRIS Toxicological Review of Benzo[a]pyrene (Public ...

    EPA Pesticide Factsheets

    EPA is developing an Integrated Risk Information System (IRIS) assessment of benzo[a]pyrene and has released the draft assessment for public comment and external peer review. When final, the assessment will appear on the IRIS database. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for benzo[a]pyrene (BaP). The outcome of this project is an updated Toxicological Review and IRIS Summary for BaP that will be entered into the IRIS database.

  6. 75 FR 28856 - Agency Information Collection (IRIS) Activities Under OMB Review

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-05-24

    ... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-0619] Agency Information Collection (IRIS... Information System (IRIS). OMB Control Number: 2900-0619. Type of Review: Extension of a currently approved... veterans, dependents, and active duty personnel worldwide. IRIS allows a customer to submit questions...

  7. 75 FR 13208 - Proposed Information Collection (IRIS) Activity; Comment Request

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-18

    ... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-0619] Proposed Information Collection (IRIS... submitted to VA through the Inquiry Routing and Information System (IRIS). DATES: Written comments and... (IRIS), VA Form 0873. OMB Control Number: 2900-0619. Type of Review: Extension of a currently approved...

  8. AHMCT Intelligent Roadway Information System (IRIS) technical support and testing

    DOT National Transportation Integrated Search

    2011-12-31

    This report documents the research project AHMCT IRIS Technical Support and Testing, : performed under contract 65A0275, Task ID 1777. It presents an overview of the Intelligent : Roadway Information System (IRIS), and its design and function. ...

  9. AHMCT Intelligent Roadway Information System (IRIS) technical support and testing.

    DOT National Transportation Integrated Search

    2011-12-01

    This report documents the research project AHMCT IRIS Technical Support and Testing, : performed under contract 65A0275, Task ID 1777. It presents an overview of the Intelligent : Roadway Information System (IRIS), and its design and function. ...

  10. IRIS Toxicological Review of Ammonia (External Review Draft ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of ammonia that will appear in the Integrated Risk Information System (IRIS) database. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for ammonia. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  11. IRIS Toxicological Review of n-Butanol (External Review Draft ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of n-butanol that will appear in the Integrated Risk Information System (IRIS) database. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for n-butanol. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  12. Novel Approaches to Improve Iris Recognition System Performance Based on Local Quality Evaluation and Feature Fusion

    PubMed Central

    2014-01-01

    For building a new iris template, this paper proposes a strategy to fuse different portions of iris based on machine learning method to evaluate local quality of iris. There are three novelties compared to previous work. Firstly, the normalized segmented iris is divided into multitracks and then each track is estimated individually to analyze the recognition accuracy rate (RAR). Secondly, six local quality evaluation parameters are adopted to analyze texture information of each track. Besides, particle swarm optimization (PSO) is employed to get the weights of these evaluation parameters and corresponding weighted coefficients of different tracks. Finally, all tracks' information is fused according to the weights of different tracks. The experimental results based on subsets of three public and one private iris image databases demonstrate three contributions of this paper. (1) Our experimental results prove that partial iris image cannot completely replace the entire iris image for iris recognition system in several ways. (2) The proposed quality evaluation algorithm is a self-adaptive algorithm, and it can automatically optimize the parameters according to iris image samples' own characteristics. (3) Our feature information fusion strategy can effectively improve the performance of iris recognition system. PMID:24693243

  13. Novel approaches to improve iris recognition system performance based on local quality evaluation and feature fusion.

    PubMed

    Chen, Ying; Liu, Yuanning; Zhu, Xiaodong; Chen, Huiling; He, Fei; Pang, Yutong

    2014-01-01

    For building a new iris template, this paper proposes a strategy to fuse different portions of iris based on machine learning method to evaluate local quality of iris. There are three novelties compared to previous work. Firstly, the normalized segmented iris is divided into multitracks and then each track is estimated individually to analyze the recognition accuracy rate (RAR). Secondly, six local quality evaluation parameters are adopted to analyze texture information of each track. Besides, particle swarm optimization (PSO) is employed to get the weights of these evaluation parameters and corresponding weighted coefficients of different tracks. Finally, all tracks' information is fused according to the weights of different tracks. The experimental results based on subsets of three public and one private iris image databases demonstrate three contributions of this paper. (1) Our experimental results prove that partial iris image cannot completely replace the entire iris image for iris recognition system in several ways. (2) The proposed quality evaluation algorithm is a self-adaptive algorithm, and it can automatically optimize the parameters according to iris image samples' own characteristics. (3) Our feature information fusion strategy can effectively improve the performance of iris recognition system.

  14. DOE Office of Scientific and Technical Information (OSTI.GOV)

    Tuxen, L.

    The Integrated Risk Information System (IRIS) is an electronic information system developed by the US Environmental Protection Agency (EPA) containing information related to health risk assessment. IRIS is the Agency`s primary vehicle for communication of chronic health hazard information that represents Agency consensus following comprehensive review by intra-Agency work groups. The original purpose for developing IRIS was to provide guidance to EPA personnel in making risk management decisions. This original purpose for developing IRIS was to guidance to EPA personnel in making risk management decisions. This role has expanded and evolved with wider access and use of the system. IRISmore » contains chemical-specific information in summary format for approximately 500 chemicals. IRIS is available to the general public on the National Library of Medicine`s Toxicology Data Network (TOXNET) and on diskettes through the National Technical Information Service (NTIS).« less

  15. IRIS Toxicological Review of Benzo[a]pyrene (Final Report) ...

    EPA Pesticide Factsheets

    EPA has finalized the Integrated Risk Information System (IRIS) assessment of benzo[a]pyrene. This assessment addresses the potential cancer and noncancer human health effects from long-term exposure to benzo[a]pyrene. Now final, this assessment will update the toxicological information on benzo[a]pyrene posted in 1987. EPA’s program and regional offices may use this assessment to inform decisions to protect human health. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for benzo[a]pyrene (BaP). The outcome of this project is an updated Toxicological Review and IRIS Summary for BaP that will be entered into the IRIS database.

  16. IRIS Toxicological Review of Ammonia Noncancer Inhalation ...

    EPA Pesticide Factsheets

    EPA has finalized the Integrated Risk Information System (IRIS) Assessment of Ammonia (Noncancer Inhalation). This assessment addresses the potential noncancer human health effects from long-term inhalation exposure to ammonia. Now final, this assessment will update the current toxicological information on ammonia posted in 1991. EPA’s program and regional offices may use this assessment to inform decisions to protect human health. EPA completed the Integrated Risk Information System (IRIS) health assessment for ammonia. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  17. IRIS Toxicological Review of Tetrahydrofuran (THF) (External ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of tetrahydrofuran (THF) that when finalized will appear on the Integrated Risk Information System (IRIS) database. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for tetrahydrofuran. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  18. IRIS Toxicological Review of Dichloromethane (Methylene ...

    EPA Pesticide Factsheets

    EPA has finalized the Toxicological Review of Dichloromethane (Methylene Chloride): In support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health. This document presents background information and justification for the Intergrated Risk Information System (IRIS) Summary of the hazard and dose-response assessment of dichloromethane. IRIS Summaries may include oral reference dose (RfD) and inhalation reference concentration (RfC) values for chronic and other exposure durations, and a carcinogencity assessment. Internet/NCEA web site

  19. Characterization and Fate of Gun and Rocket Propellant Residues on Testing and Training Ranges

    DTIC Science & Technology

    2008-01-01

    ext/reg_e.html. 36. United States Environmental Protection Agency (2007) Integrated Risk Information System: Hydrogen cyanide, http://www.epa.gov/ iris ...Environmental Protection Agency (2007) Integrated Risk Information System: Benzene, http://www.epa.gov/ iris /subst/0276.htm 42. United States Environmental...Protection Agency (2007) Integrated Risk Information System: Toluene, http://www.epa.gov/ iris /subst/0118.htm. 43. National Library of Medicine’s TOXNET

  20. IRIS TOXICOLOGICAL REVIEW AND SUMMARY ...

    EPA Pesticide Factsheets

    EPA's assessment of the noncancer health effects and carcinogenic potential of 1,2,3-trichloropropane (TCP) was added to the IRIS database in 1990. The IRIS program is updating the IRIS assessment for TCP. This update will incorporate health effects information published since the last assessment was prepared as well as new risk assessment methods. The IRIS assessment for TCP will consist of a Toxicological Review and IRIS Summary. The Toxicological Review is a critical review of the physicochemical and toxicokinetic properties of the chemical and its toxicity in humans and experimental systems. The assessment will present reference values for noncancer effects of TCP (RfD and RfC) and a cancer assessment. The Toxicological Review and IRIS Summary will be subject to internal peer consultation, Agency review, and external scientific peer review. The final products will constitute the Agency's opinion on the toxicity of TCP. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for 1,2,3-trichloropropane. IRIS is an EPA database containing the Agency's consensus scientific positions on potential adverse human effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment process, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in

  1. 75 FR 50761 - Draft Toxicological Review of Dichloromethane: In Support of Summary Information on the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-17

    ... Toxicological Review of Dichloromethane: In Support of Summary Information on the Integrated Risk Information... Summary Information on the Integrated Risk Information System (IRIS)'' (EPA/635/R-10/003A). The draft... Support of Summary Information on the Integrated Risk Information System (IRIS)'' is available primarily...

  2. 76 FR 54228 - Draft Toxicological Review of Acrylonitrile: In Support of Summary Information on the Integrated...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-31

    ... Toxicological Review of Acrylonitrile: In Support of Summary Information on the Integrated Risk Information... Acrylonitrile: In Support of Summary Information on the Integrated Risk Information System (IRIS)'' (EPA/635/R... Acrylonitrile: In Support of Summary Information on the Integrated Risk Information System (IRIS)'' is available...

  3. IRIS Toxicological Review and Summary Documents for N ...

    EPA Pesticide Factsheets

    EPA's assessment of the noncancer health effects and carcinogenic potential of n-hexane was last prepared and added to the IRIS data base in 1990. The IRIS program is updating the IRIS assessment for n-hexane; this update will incorporate health effects information published since the last assessment was prepared as well as new risk assessment methods. The IRIS assessment for n-hexane will consist of a Toxicological Review and IRIS Summary. The Toxicological Review is a critical review of the physicochemical and toxicokinetic properties of the chemical and its toxicity in humans and experimental systems. The assessment will present reference values for noncancer effects of n-hexane (RfD and RfC) and a cancer assessment, where supported by available data. The Toxicological Review and IRIS Summary will be subject to internal peer consultation, Agency review, and external scientific peer review. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for n-hexane. The outcome of this project is an updated Toxicological Review and IRIS Summary for n-Hexane that will be entered into the IRIS database. IRIS is an EPA data base containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment

  4. 75 FR 69065 - Draft Toxicological Review of Urea: In Support of Summary Information on the Integrated Risk...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-10

    ... Summary Information on the Integrated Risk Information System (IRIS) AGENCY: Environmental Protection..., ``Toxicological Review of Urea: In Support of Summary Information on the Integrated Risk Information System (IRIS...: The draft ``Toxicological Review of Urea: In Support of Summary Information on the Integrated Risk...

  5. IRIS Toxicological Review of Ethylene Glycol Mono-Butyl ...

    EPA Pesticide Factsheets

    EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of ethylene glycol monobutyl ether that will appear on the Integrated Risk Information System (IRIS) database. EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of propionaldehyde that will appear on the Integrated Risk Information System (IRIS) database.

  6. IRIS Toxicological Review of Ethyl Tertiary Butyl Ether (ETBE) (Public Comment Draft)

    EPA Science Inventory

    In September 2016, the U.S. Environmental Protection Agency's (USEPA) released the draft Integrated Risk Information System (IRIS) Toxicological Review of Ethyl Tertiary Butyl Ether (ETBE). Consistent with the 2013 IRIS Enhancements, draft IRIS assessments are released prior to e...

  7. CHARACTERIZATION OF DATA VARIABILITY AND UNCERTAINTY: HEALTH EFFECTS ASSESSMENTS IN THE INTEGRATED RISK INFORMATION SYSTEM (IRIS)

    EPA Science Inventory

    In response to a Congressional directive contained in HR 106-379 regarding EPA's appropriations for FY2000, EPA has undertaken an evaluation of the characterization of data variability and uncertainty in its Integrated Risk Information System (IRIS) health effects information dat...

  8. Computational cameras for moving iris recognition

    NASA Astrophysics Data System (ADS)

    McCloskey, Scott; Venkatesha, Sharath

    2015-05-01

    Iris-based biometric identification is increasingly used for facility access and other security applications. Like all methods that exploit visual information, however, iris systems are limited by the quality of captured images. Optical defocus due to a small depth of field (DOF) is one such challenge, as is the acquisition of sharply-focused iris images from subjects in motion. This manuscript describes the application of computational motion-deblurring cameras to the problem of moving iris capture, from the underlying theory to system considerations and performance data.

  9. Glufosinate-ammonium

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Glufosinate - ammoni

  10. Fomesafen

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Fomesafen ; CASRN 72

  11. Pirimiphos-methyl

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Pirimiphos - methyl

  12. Bromoxynil

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Bromoxynil ; CASRN 1

  13. Prometryn

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Prometryn ; CASRN 72

  14. Linuron

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Linuron ; CASRN 330

  15. Dimethoate

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Dimethoate ; CASRN 6

  16. Methidathion

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Methidathion ; CASRN

  17. Phenmedipham

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Phenmedipham ; CASRN

  18. Pendimethalin

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Pendimethalin ; CASR

  19. Chlorsulfuron

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Chlorsulfuron ; CASR

  20. Thiophanate-methyl

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Thiophanate - methyl

  1. Thiram

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Thiram ; CASRN 137 -

  2. Benefin

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Benefin ; CASRN 1861

  3. Cyhalothrin/Karate

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Cyhalothrin / Karate

  4. Triallate

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Triallate ; CASRN 23

  5. Propiconazole

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Propiconazole ; CASR

  6. Chlorimuron-ethyl

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Chlorimuron - ethyl

  7. Cypermethrin

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Cypermethrin ; CASRN

  8. Napropamide

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Napropamide ; CASRN

  9. Difenzoquat

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Difenzoquat ; CASRN

  10. Diphenylamine

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Diphenylamine ; CASR

  11. Harmony

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Harmony ; CASRN 7927

  12. Bidrin

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Bidrin ; CASRN 141 -

  13. Pursuit

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Pursuit ; CASRN 8133

  14. Imazalil

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Imazalil ; CASRN 355

  15. Vinclozolin

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Vinclozolin ; CASRN

  16. Chlorpropham

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Chlorpropham ; CASRN

  17. Bayleton

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Bayleton ; CASRN 431

  18. Propargite

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Propargite ; CASRN 2

  19. Oxyfluorfen

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Oxyfluorfen ; CASRN

  20. Amdro

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Amdro ; CASRN 67485

  1. Sethoxydim

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Sethoxydim ; CASRN 7

  2. Asulam

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Asulam ; CASRN 3337

  3. Norflurazon

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Norflurazon ; CASRN

  4. Dodine

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Dodine ; CASRN 2439

  5. Dimethipin

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Dimethipin ; CASRN 5

  6. Bromoxynil octanoate

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Bromoxynil octanoate

  7. Folpet

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Folpet ; CASRN 133 -

  8. Flurprimidol

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Flurprimidol ; CASRN

  9. Oryzalin

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Oryzalin ; CASRN 190

  10. Lactofen

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Lactofen ; CASRN 775

  11. Flutolanil

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Flutolanil ; CASRN 6

  12. Acephate

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Acephate ; CASRN 305

  13. IRIS Toxicological Review of Methanol (Non-Cancer) ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of methanol (non-cancer) that when finalized will appear on the Integrated Risk Information System (IRIS) database. EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of methanol (non-cancer) that will appear in the Integrated Risk Information System (IRIS) database.

  14. Fosetyl-al

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Fosetyl - al ; CASRN

  15. NuStar

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016NuStar ; CASRN 85509 -

  16. Merphos oxide

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) Merphos oxide ; CASR

  17. RE: Request for Correction - SAB Workgroup Review of Draft IRIS Assessment for Inorganic Arsenic

    EPA Pesticide Factsheets

    Request from Lynn Bergeson for the correction of information in the draft EPA document Toxicological Review of Inorganic Arsenic: In Support of the Summary Information on the Integrated Risk Information System (IRIS).

  18. S-Ethyl dipropylthiocarbamate (EPTC)

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) S - Ethyl dipropylth

  19. Final Report from the External Peer Review of the IRIS ...

    EPA Pesticide Factsheets

    This document is the final report for the 2004 external peer review for the EPA IRIS Reassessment of the Inhalation Carcinogenicity of Naphthalene, prepared by the Office of Research and Development's National Center for Environmental Assessment (NCEA), for the Integrated Risk Information System (IRIS) Database. A panel of external peer reviewers met to discuss the IRIS report and their responses to the charge questions on July 30, 2004. This document contains the final written comments of the external peer reviewers. This document is the final report for the 2004 external peer review for the IRIS Reassessment of the Inhalation Carcinogenicity of Naphthalene, prepared by the U.S. Environmental Protection Agency (EPA), National Center for Environmental Assessment (NCEA), for the Integrated Risk Information System (IRIS). A panel of external peer reviewers met to discuss their responses to the charge questions on July 30, 2004. This document contains the final written comments of the external peer reviewers.

  20. IRIS Toxicological Review of Tert-Butyl Alcohol (Tert-Butanol) ...

    EPA Pesticide Factsheets

    The IRIS Toxicological Review of tert-Butyl Alcohol (tert-Butanol) was released for external peer review in June 2017. EPA’s Science Advisory Board’s (SAB) Chemical Assessment Advisory Committee (CAAC) will conduct a peer review of the scientific basis supporting the tert-butanol assessment and release a final report of their review. Information regarding the peer review can be found on the SAB website. EPA is conducting an Integrated Risk Information System (IRIS) health assessment for tert-butanol. The outcome of this project is a Toxicological Review and IRIS Summary for tert-butanol that will be entered into the IRIS database.

  1. Systematic Review: Concept and Tool Development with Application in the Integrated Risk Information System (IRIS) Assessment Process

    EPA Science Inventory

    Systematic Review: Concept and tool development with application to the National Toxicology Program (NTP) and the Integrated Risk Information System (IRIS) Assessment Processes. There is growing interest within the environmental health community to incorporate systematic review m...

  2. DSSTox EPA Integrated Risk Information System Structure-Index Locator File: SDF File and Documentation

    EPA Science Inventory

    EPA's Integrated Risk Information System (IRIS) database was developed and is maintained by EPA's Office of Research and Developement, National Center for Environmental Assessment. IRIS is a database of human health effects that may result from exposure to various substances fou...

  3. IRIS Toxicological Review of Benzo[a]pyrene (Public Comment Draft)

    EPA Science Inventory

    EPA is developing an Integrated Risk Information System (IRIS) assessment of benzo[a]pyrene and has released the draft assessment for public comment and external peer review. When final, the assessment will appear on the IRIS database.

  4. IRIS Toxicological Review of Naphthalene (1998 Final)

    EPA Science Inventory

    EPA announced the release of the final report, Toxicological Review of Naphthalene: in support of the Integrated Risk Information System (IRIS). The updated Summary for Naphthalene and accompanying toxicological review have been added to the IRIS Database.

  5. IRIS Toxicological Review of Phosgene (Final Report)

    EPA Science Inventory

    EPA announced the release of the final report, Toxicological Review of Phosgene: in support of the Integrated Risk Information System (IRIS). The updated Summary for Phosgene and accompanying toxicological review have been added to the IRIS Database.

  6. IRIS Toxicological Review of Acrolein (2003 Final)

    EPA Science Inventory

    EPA announced the release of the final report, Toxicological Review of Acrolein: in support of the Integrated Risk Information System (IRIS). The updated Summary for Acrolein and accompanying toxicological review have been added to the IRIS Database.

  7. IRIS Toxicological Review of Chloroform (Final Report)

    EPA Science Inventory

    EPA is announcing the release of the final report, Toxicological Review of Chloroform: in support of the Integrated Risk Information System (IRIS). The updated Summary for Chloroform and accompanying Quickview have also been added to the IRIS Database.

  8. IRIS Toxicological Review of Tetrahydrofuran (THF) ...

    EPA Pesticide Factsheets

    EPA is releasing the draft report, Toxicological Review of Tetrahydrofuran, that was distributed to Federal agencies and White House Offices for comment during the Science Discussion step of the IRIS Assessment Development Process. Comments received from other Federal agencies and White House Offices are provided below with external peer review panel comments. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for tetrahydrofuran. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  9. Comments on the Draft U.S. EPA Document Toxicological Review of Inorganic Arsenic: In Support of the Summary Information on the Integrated Risk Information System (IRIS)

    EPA Pesticide Factsheets

    The Organic Arsenical Products Task Force (OAPTF) hereby submits the appended list of materials from the scientific literature on inorganic arsenic for inclusion in the U.S. Environmental Protection Agency's (EPA) docket maintained in support of the Summary Information on the Integrated Risk Information System (IRIS) Report (Report)

  10. Cyromazine

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment 1 Cyromazine ; CASRN 66215 - 27 - 8Human health assessment information on a chemical substance is included in the IRIS database only after a comp

  11. IRIS Toxicological Review of Decabromodiphenyl Ether (Final Report)

    EPA Science Inventory

    EPA announced the release of the final report, Toxicological Review of Decabromodiphenyl Ether: in support of the Integrated Risk Information System (IRIS). The updated Summary for Decabromodiphenyl Ether and accompanying toxicological review have been added to the IRIS Da...

  12. 4-(2-Methyl-4-chlorophenoxy) butyric acid (MCPB)

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) 4 - ( 2 - Methyl - 4

  13. IRIS Toxicological Review of Biphenyl (Interagency Science ...

    EPA Pesticide Factsheets

    On September 30, 2011, the draft Toxicological Review of Biphenyl and the charge to external peer reviewers were released for external peer review and public comment. The Toxicological Review and charge were reviewed internally by EPA and by other federal agencies and White House Offices before public release. In the new IRIS process (May 2009), introduced by the EPA Administrator, all written comments on IRIS assessments submitted by other federal agencies and White House Offices will be made publicly available. Accordingly, interagency comments and the interagency science consultation draft of the IRIS Toxicological Review of Biphenyl and the charge to external peer reviewers are posted on this site. EPA is undertaking a new health assessment for biphenyl for the Integrated Risk Information System (IRIS). The outcome of this project will be a Toxicological Review and IRIS and IRIS Summary of biohenyl that will be entered on the IRIS database. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information to evaluate potential public health risks associated with exposure assessment information to evaluate potential public health risks associated with environmental contaminants. The IRIS database is relied on for the development of risk ass

  14. Iris Location Algorithm Based on the CANNY Operator and Gradient Hough Transform

    NASA Astrophysics Data System (ADS)

    Zhong, L. H.; Meng, K.; Wang, Y.; Dai, Z. Q.; Li, S.

    2017-12-01

    In the iris recognition system, the accuracy of the localization of the inner and outer edges of the iris directly affects the performance of the recognition system, so iris localization has important research meaning. Our iris data contain eyelid, eyelashes, light spot and other noise, even the gray transformation of the images is not obvious, so the general methods of iris location are unable to realize the iris location. The method of the iris location based on Canny operator and gradient Hough transform is proposed. Firstly, the images are pre-processed; then, calculating the gradient information of images, the inner and outer edges of iris are coarse positioned using Canny operator; finally, according to the gradient Hough transform to realize precise localization of the inner and outer edge of iris. The experimental results show that our algorithm can achieve the localization of the inner and outer edges of the iris well, and the algorithm has strong anti-interference ability, can greatly reduce the location time and has higher accuracy and stability.

  15. IRIS Toxicological Review of Ethyl Tertiary Butyl Ether (Etbe) ...

    EPA Pesticide Factsheets

    The IRIS Toxicological Review of Ethyl Tertiary Butyl Ether (ETBE) was released for external peer review in June 2017. EPA’s Science Advisory Board’s (SAB) Chemical Assessment Advisory Committee (CAAC) will conduct a peer review of the scientific basis supporting the ETBE assessment and release a final report of their review. Information regarding the peer review can be found on the SAB website. EPA is conducting an Integrated Risk Information System (IRIS) health assessment for Ethyl Tertiary Butyl Ether (ETBE). The outcome of this project is a Toxicological Review and IRIS Summary for ETBE that will be entered into the IRIS database.

  16. IRIS Toxicological Review of Ammonia (Revised External ...

    EPA Pesticide Factsheets

    In August 2013, EPA submitted a revised draft IRIS assessment of ammonia to the agency's Science Advisory Board (SAB) and posted this draft on the IRIS website. EPA had previously released a draft of the assessment for public comment, held a public meeting about the draft, and then revised it based on the comments received. The SAB CAAC-Ammonia panel will review this draft assessment. Details about the meeting dates, times, and location are available via the Federal Register Notice posted on March 25, 2014. The SAB provided information on how the public can participate in the external peer review meetings, as well as instructions about how to provide comments to the SAB in the notice. Additional information on the SAB review of ammonia is on the SAB website. Report Information: The Toxicological Review of Ammonia was originally released for a 60-day public comment period on June 8, 2012. [Federal Register Notice Jun 8, 2012] EPA revised the toxicological review in response to the public comments received. EPA has released the revised external review draft ammonia assessment and the SAB CAAC is conducting a peer review of the scientific basis supporting the assessment that will appear in the Integrated Risk Information System (IRIS) database. Information regarding the peer review can be found at the SAB review of ammonia website. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for ammonia. IRIS is an EPA database cont

  17. Nitrobenzene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 08 / 004F www.epa.gov / iris TOXICOLOGICAL REVIEW OF NITROBENZENE ( CAS No . 98 - 95 - 3 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) January 2009 U.S . Environmental Protection Agency Washington , DC i DISCLAIMER This documen

  18. Radium 226,228

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment Radium 226,228 ; CASRN 7440 - 14 - 4 , Human health assessment information on a chemical substance is included in the IRIS database only after a

  19. IRIS Toxicological Review of Trimethylbenzenes (Final Report)

    EPA Science Inventory

    EPA has finalized the Integrated Risk Information System (IRIS) Assessment of Trimethylbenzenes (TMBs). This assessment addresses the potential non-cancer and cancer human health effects from long-term exposure to TMBs. Now final, this assessment will be the first IRIS a...

  20. 4-(2,4-Dichlorophenoxy)butyric acid (2,4-DB)

    Integrated Risk Information System (IRIS)

    Integrated Risk Information System ( IRIS ) Chemical Assessment Summary U.S . Environmental Protection Agency National Center for Environmental Assessment This IRIS Summary has been removed from the IRIS database and is available for historical reference purposes . ( July 2016 ) 4 - ( 2,4 - Dichloro

  1. IRIS Toxicological Review of 2-Methylnaphthalene (2003, Final)

    EPA Science Inventory

    EPA announced the release of the final report, Toxicological Review of 2-Methylnaphthalene: in support of the Integrated Risk Information System (IRIS). The updated Summary for 2-Methylnaphthalene and accompanying toxicological review have also been added to the IRIS Datab...

  2. IRIS Toxicological Review of Vinyl Chloride (Final Report, 2000)

    EPA Science Inventory

    EPA is announcing the release of the final report, Toxicological Review of Vinyl Chloride: in support of the Integrated Risk Information System (IRIS). The updated Summary for Vinyl Chloride and accompanying Quickview have also been added to the IRIS Database.

  3. RE:RE: Comments on the Draft US EPA Document Toxicological Review of Inorganic Arsenic: In Support of the Summary Information on the Integrated Risk Information System (IRIS).

    EPA Pesticide Factsheets

    Letter from the Organic Arsenical Products Task Force expressing concern about aspects of the Science Advisory Board Workgroup's review of a draft document Toxicological Review of Inorganic Arsenic: In Support of the Summary Information on the Integrated Risk Information System (IRIS) and decision not to grant more time to prepare for meeting.

  4. IRIS: Supporting & Managing the Research Life-Cycle

    ERIC Educational Resources Information Center

    Bollini, Andrea; Mennielli, Michele; Mornati, Susanna; Palmer, David T.

    2016-01-01

    IRIS is a new Current Research Information System (CRIS) developed by Cineca to upgrade and replace two previous solutions that have been used by Italian universities in the last 10 years. At the end of 2015, sixty-three Italian institutions are using IRIS. One of the main components of IRIS is DSpace-CRIS, an open source solution that can also be…

  5. IRIS Toxicological Review of Ammonia Noncancer Inhalation ...

    EPA Pesticide Factsheets

    In September 2016, EPA finalized the IRIS assessment of Ammonia (Noncancer Inhalation). The Toxicological Review was reviewed internally by EPA and by other federal agencies and White House Offices before public release in June 2016. Consistent with the May 2009 IRIS assessment development process, all written comments on IRIS assessments submitted by other federal agencies and White House Offices are made publicly available. Accordingly, interagency comments and the interagency science discussion materials provided to other agencies, including interagency review drafts of the IRIS Toxicological Review of Ammonia (Noncancer Inhalation) are posted on this site. Note: No major science comments were received on the Interagency Science Discussion Draft. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for ammonia. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  6. Privacy information management for video surveillance

    NASA Astrophysics Data System (ADS)

    Luo, Ying; Cheung, Sen-ching S.

    2013-05-01

    The widespread deployment of surveillance cameras has raised serious privacy concerns. Many privacy-enhancing schemes have been proposed to automatically redact images of trusted individuals in the surveillance video. To identify these individuals for protection, the most reliable approach is to use biometric signals such as iris patterns as they are immutable and highly discriminative. In this paper, we propose a privacy data management system to be used in a privacy-aware video surveillance system. The privacy status of a subject is anonymously determined based on her iris pattern. For a trusted subject, the surveillance video is redacted and the original imagery is considered to be the privacy information. Our proposed system allows a subject to access her privacy information via the same biometric signal for privacy status determination. Two secure protocols, one for privacy information encryption and the other for privacy information retrieval are proposed. Error control coding is used to cope with the variability in iris patterns and efficient implementation is achieved using surrogate data records. Experimental results on a public iris biometric database demonstrate the validity of our framework.

  7. IRIS Toxicological Review of Methyl Ethyl Ketone (2003 Final)

    EPA Science Inventory

    EPA announced the release of the final report, Toxicological Review of Methyl Ethyl Ketone: in support of the Integrated Risk Information System (IRIS). The updated Summary for Methyl Ethyl Ketone and accompanying toxicological review have been added to the IRIS Database....

  8. IRIS TOXICOLOGICAL REVIEW AND SUMMARY DOCUMENTS FOR CHLORDECONE (KEPONE) (2009 FINAL)

    EPA Science Inventory

    EPA is announcing the release of the final report, Toxicological Review of Chlorodecone (kepone): in support of the Integrated Risk Information System (IRIS). The updated Summary for Chlordecone (kepone) and accompanying Quickview have also been added to the IRIS Database....

  9. IRIS Toxicological Review of Hexachloroethane (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Hexachloroethane: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  10. Methanol

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 11 / 001Fa www.epa.gov / iris TOXICOLOGICAL REVIEW OF METHANOL ( NONCANCER ) ( CAS No . 67 - 56 - 1 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2013 U.S . Environmental Protection Agency Washington , DC ii DISCLAIMER This document

  11. Hydrogen sulfide

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 03 / 005 www.epa.gov / iris TOXICOLOGICAL REVIEW OF HYDROGEN SULFIDE ( CAS No . 7783 - 06 - 4 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) June 2003 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been

  12. Dichloromethane

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 10 / 003F ww.epa.gov / iris TOXICOLOGICAL REVIEW OF DICHLOROMETHANE ( METHYLENE CHLORIDE ) ( CAS No . 75 - 09 - 2 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) November 2011 U.S . Environmental Protection Agency Washington , DC ii DISCLAIMER T

  13. Chlordecone (Kepone)

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 07 / 004F www.epa.gov / iris TOXICOLOGICAL REVIEW OF CHLORDECONE ( KEPONE ) ( CAS No . 143 - 50 - 0 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2009 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has

  14. Ethylene oxide

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 16 / 350Fc www.epa.gov / iris Evaluation of the Inhalation Carcinogenicity of Ethylene Oxide EXECUTIVE SUMMARY ( CASRN 75 - 21 - 8 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) December 201 6 National Center for Environmental Assessment Office

  15. Cyclohexane

    Integrated Risk Information System (IRIS)

    EPA 635 / R - 03 / 008 www.epa.gov / iris TOXICOLOGICAL REVIEW OF CYCLOHEXANE ( CAS No . 110 - 82 - 7 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) August 2003 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been revie

  16. Chloroprene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 09 / 010F www.epa.gov / iris TOXICOLOGICAL REVIEW OF CHLOROPRENE ( CAS No . 126 - 99 - 8 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2010 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been revie

  17. Propionaldehyde

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 08 / 003F www.epa.gov / iris TOXICOLOGICAL REVIEW OF PROPIONALDEHYDE ( CAS No . 123 - 38 - 6 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2008 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been r

  18. 2-Methylnaphthalene

    Integrated Risk Information System (IRIS)

    EPA 635 / R - 03 / 010 www.epa.gov / iris TOXICOLOGICAL REVIEW OF 2 - METHYLNAPHTHALENE ( CAS No . 91 - 57 - 6 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) December 2003 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been

  19. Hexachloroethane

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 09 / 007F www.epa.gov / iris TOXICOLOGICAL REVIEW OF HEXACHLOROETHANE ( CAS No . 67 - 72 - 1 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2011 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been r

  20. IRIS Toxicological Review of Urea (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Urea: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  1. IRIS Toxicological Review of Pentachlorophenol (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Pentachlorophenol: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  2. IRIS Toxicological Review of Biphenyl (Final Report)

    EPA Science Inventory

    EEPA has finalized the Toxicological Review of Biphenyl: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  3. EXPOSURE SUMMARIES FOR IRIS CHEMICALS.

    EPA Science Inventory

    The Integrated Risk Information System (IRIS), prepared and maintained by the National Center for Environmental Assessment (NCEA) of the U.S. Environmental Protection Agency (U.S. EPA), is an electronic database containing information on human health effects that may result from ...

  4. Increasing the information acquisition volume in iris recognition systems.

    PubMed

    Barwick, D Shane

    2008-09-10

    A significant hurdle for the widespread adoption of iris recognition in security applications is that the typically small imaging volume for eye placement results in systems that are not user friendly. Separable cubic phase plates at the lens pupil have been shown to ameliorate this disadvantage by increasing the depth of field. However, these phase masks have limitations on how efficiently they can capture the information-bearing spatial frequencies in iris images. The performance gains in information acquisition that can be achieved by more general, nonseparable phase masks is demonstrated. A detailed design method is presented, and simulations using representative designs allow for performance comparisons.

  5. IRIS Toxicological Review of Hexahydro-1,3,5-Trinitro-1,3,5 ...

    EPA Pesticide Factsheets

    The IRIS Toxicological Review of Hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) was released for external peer review in September 2016. The EPA’s Science Advisory Board’s (SAB) Chemical Assessment Advisory Committee (CAAC) will conduct a peer review of the scientific basis supporting the RDX assessment and release a final report of their review. Information regarding the peer review can be found on the SAB website. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for RDX. The outcome of this project is an updated Toxicological Review and IRIS Summary for RDX that will be entered into the IRIS database.

  6. Carbon tetrachloride

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 08 / 005F www.epa.gov / iris TOXICOLOGICAL REVIEW OF CARBON TETRACHLORIDE ( CAS No . 56 - 23 - 5 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) March 2010 U.S . Environmental Protection Agency Washington , DC ii DISCLAIMER This document has bee

  7. Trichloroacetic acid

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 09 / 003F www.epa.gov / iris TOXICOLOGICAL REVIEW OF TRICHLOROACETIC ACID ( CAS No . 76 - 03 - 9 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2011 U.S . Environmental Protection Agency Washington , DC ii DISCLAIMER This document has

  8. 1,4-Dioxane

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 11 / 003F www.epa.gov / iris TOXICOLOGICAL REVIEW OF 1,4 - DIOXANE ( WITH INHALATION UPDATE ) ( CAS No . 123 - 91 - 1 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2013 U.S . Environmental Protection Agency Washington , DC DISCLAIMER

  9. IRIS Toxicological Review of Tetrahydrofuran (THF) (Final Report)

    EPA Science Inventory

    EPA has released the Toxicological Review of Tetrahydrofuran: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  10. IRIS Toxicological Review of Carbon Tetrachloride (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Carbon Tetrachloride: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  11. NATIONAL PREPAREDNESS: Integrating New and Existing Technology and Information Sharing into an Effective Homeland Security Strategy

    DTIC Science & Technology

    2002-06-07

    Continue to Develop and Refine Emerging Technology • Some of the emerging biometric devices, such as iris scans and facial recognition systems...such as iris scans and facial recognition systems, facial recognition systems, and speaker verification systems. (976301)

  12. Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network

    NASA Astrophysics Data System (ADS)

    He, Fei; Han, Ye; Wang, Han; Ji, Jinchao; Liu, Yuanning; Ma, Zhiqiang

    2017-03-01

    Gabor filters are widely utilized to detect iris texture information in several state-of-the-art iris recognition systems. However, the proper Gabor kernels and the generative pattern of iris Gabor features need to be predetermined in application. The traditional empirical Gabor filters and shallow iris encoding ways are incapable of dealing with such complex variations in iris imaging including illumination, aging, deformation, and device variations. Thereby, an adaptive Gabor filter selection strategy and deep learning architecture are presented. We first employ particle swarm optimization approach and its binary version to define a set of data-driven Gabor kernels for fitting the most informative filtering bands, and then capture complex pattern from the optimal Gabor filtered coefficients by a trained deep belief network. A succession of comparative experiments validate that our optimal Gabor filters may produce more distinctive Gabor coefficients and our iris deep representations be more robust and stable than traditional iris Gabor codes. Furthermore, the depth and scales of the deep learning architecture are also discussed.

  13. U.S. EPA'S IRIS ASSESSMENT OF 2-BUTOXYETHANOL: THE RELATIONSHIP OF NONCANCER TO CANCER EFFECTS

    EPA Science Inventory

    U.S. EPA's current IRIS (Integrated Risk Information System; www.epa.gov/IRIS) assessment of 2-butoxyethanol (EGBE; CASRN 11-76-2) identifies hemolytic effects in laboratory exposed animals as the critical noncancer endpoint. This noncancer (and nonlinear) endpoint forms the b...

  14. IRIS Toxicological Review of Tert-Butyl Alcohol (Tert-Butanol) (Public Comment Draft)

    EPA Science Inventory

    EPA is developing an Integrated Risk Information System (IRIS) assessment of tert-butyl Alcohol (tert-butanol) and has released the public comment draft assessment for public comment and external peer review. When final, the assessment will appear on the IRIS databa...

  15. IRIS Toxicological Review of Hexahydro-1,3,5-Trinitro-1,3,5-Triazine (RDX) (Public Comment Draft)

    EPA Science Inventory

    EPA is developing an Integrated Risk Information System (IRIS) assessment of hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) and has released the draft assessment for public comment. When final, the assessment will appear on the IRIS database.

  16. IRIS Toxicological Review of Libby Amphibole Asbestos (Final Report)

    EPA Science Inventory

    EPA has finalized the, Toxicological Review of Libby Amphibole Asbestos: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  17. Cerium Oxide and Cerium Compounds

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 08 / 002F www.epa.gov / iris TOXICOLOGICAL REVIEW OF Cerium Oxide and Cerium Compounds ( CAS No . 1306 - 38 - 3 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2009 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This

  18. Libby Amphibole asbestos

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 11 / 002F www.epa.gov / iris TOXICOLOGICAL REVIEW OF LIBBY AMPHIBOLE ASBESTOS In Support of Summary Information on the Integrated Risk Information System ( IRIS ) December 2014 ( Note : This document is an assessment of the noncancer and cancer health effects associated with the inha

  19. Urea

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 10 / 005F www.epa.gov / iris TOXICOLOGICAL REVIEW OF UREA ( CAS No . 57 - 13 - 6 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) July 2011 U.S . Environmental Protection Agency Washington , DC ii DISCLAIMER This document has been reviewed in acc

  20. Thallium (I), soluble salts

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 08 / 001F www.epa.gov / iris TOXICOLOGICAL REVIEW OF THALLIUM AND COMPOUNDS ( CAS No . 7440 - 28 - 0 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2009 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document ha

  1. Barium and Compounds

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 05 / 001 www.epa.gov / iris TOXICOLOGICAL REVIEW OF BARIUM AND COMPOUNDS ( CAS No . 7440 - 39 - 3 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) March 1998 Minor revisions January 1999 Reference dose revised June 2005 U.S . Environmental Protec

  2. 1,1,1-Trichloroethane

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 03 / 013 www.epa.gov / iris TOXICOLOGICAL REVIEW OF 1,1,1 - TRICHLOROETHANE ( CAS No . 71 - 55 - 6 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) August 2007 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has bee

  3. IRIS Toxicological Review of Thallium and Compounds (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Thallium and Compounds: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  4. IRIS Toxicological Review of Trichloroacetic Acid (Tca) (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Trichloroacetic Acid: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  5. IRIS Toxicological Review of Trimethylbenzenes (Final Report ...

    EPA Pesticide Factsheets

    EPA has finalized the Integrated Risk Information System (IRIS) Assessment of Trimethylbenzenes (TMBs). This assessment addresses the potential non-cancer and cancer human health effects from long-term exposure to TMBs. Now final, this assessment will be the first IRIS assessment for TMBs that may be used by EPA’s program and regional offices to inform decisions to protect human health. The IRIS Toxicological Review of Trimethylbenzenes was originally released for a 60-day public comment period on June 29, 2012. EPA revised the toxicological review in response to the public comments received and released the finalized TMB assessment.

  6. IRIS Toxicological Review of Ammonia (Interagency Science ...

    EPA Pesticide Factsheets

    On June 1, 2012, the draft Toxicological Review of Ammonia and the draft charge to external peer reviewers were released for external peer review and public comment. The Toxicological Review and charge were reviewed internally by EPA and by other federal agencies and White House Offices before public release. Consistent with the May 2009 IRIS assessment development process, all written comments on IRIS assessments submitted by other federal agencies and White House Offices are made publicly available. Accordingly, interagency comments and the interagency science consultation materials provided to other agencies, including interagency review drafts of the IRIS Toxicological Review of Ammonia and the charge to external peer reviewers, are posted on this site. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for ammonia. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  7. IRIS Toxicological Review of n-Butanol (Interagency Science ...

    EPA Pesticide Factsheets

    On September 8, 2011, the Toxicological Review of n-Butanol (External Review Draft) was released for external peer review and public comment. The Toxicological Review and charge were reviewed internally by EPA and by other federal agencies and White House Offices before public release. In the new IRIS process, introduced by the EPA Administrator, all written comments on IRIS assessments submitted by other federal agencies and White House Offices will be made publicly available. Accordingly, interagency comments with EPA's response and the interagency science consultation draft of the IRIS Toxicological Review of n-Butanol and the charge to external peer reviewers are posted on this site. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for n-butanol. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment paradigm, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific situational exposure assessment information to evaluate potential public health risk associated with environmental contaminants.

  8. IRIS Toxicological Review of Thallium and Compounds ...

    EPA Pesticide Factsheets

    Thallium compounds are used in the semiconductor industry, the manufacture of optic lenses and low-melting glass, low-temperature thermometers, alloys, electronic devices, mercury lamps, fireworks, and imitation germs, and clinically as an imaging agent in the diagnosis of certain tumors. EPA's assessment of noncancer health effects and carcinogenic potential of thallium compounds was last prepared and added to the IRIS database between 1988 and 1990. The IRIS program is preparing an assessment that will incorporate current health effects information available for thallium and compounds, and current risk assessment methods. The IRIS assessment for thallium compounds will consist of a Toxicological Review and IRIS Summary. The Toxicological Review is a critical review of the physiochemical and toxicokinetic properties of a chemical, and its toxicity in humans and experimental systems. The assessment will present reference values for the noncancer effects of thallium compounds (RfD and Rfc), and a cancer assessment. The Toxicological Review and IRIS Summary have been subject to Agency review, Interagency review, and external scientific peer review. The final product will reflect the Agency opinion on the overall toxicity of thallium and compounds. EPA is undertaking an Integrated Risk Information System (IRIS) health assessment for thallium and compounds. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effec

  9. IRIS Toxicological Review of 2,2',4,4'-Tetrabromodiphenyl ...

    EPA Pesticide Factsheets

    The U.S. EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessments of congeners of polybrominated diphenyl ethers (PDBEs), this review is about 2,2',4,4'-Tetrabromodiphenyl Ether, or commonly referred to as tetraBDE (BDE-47). Following the external peer review this assessment will appear in the Integrated Risk Information System (IRIS) database. Peer review will ensure that science is used credibly and appropriately in derivation of the dose-response assessments and toxicological characterization. EPA is updating the Integrated Risk Information System (IRIS) health assessments for the PBDEs.

  10. Let the IRIS Bloom:Regrowing the integrated risk information system (IRIS) of the U.S. Environmental Protection Agency.

    PubMed

    Dourson, Michael L

    2018-05-03

    The Integrated Risk Information System (IRIS) of the U.S. Environmental Protection Agency (EPA) has an important role in protecting public health. Originally it provided a single database listing official risk values equally valid for all Agency offices, and was an important tool for risk assessment communication across EPA. Started in 1986, IRIS achieved full standing in 1990 when it listed 500 risk values, the effort of two senior EPA groups over 5 years of monthly face-to-face meetings, to assess combined risk data from multiple Agency offices. Those groups were disbanded in 1995, and the lack of continuing face-to-face meetings meant that IRIS became no longer EPA's comprehensive database of risk values or their latest evaluations. As a remedy, a work group of the Agency's senior scientists should be re-established to evaluate new risks and to update older ones. Risk values to be reviewed would come from the same EPA offices now developing such information on their own. Still, this senior group would have the final authority on posting a risk value in IRIS, independently of individual EPA offices. This approach could also lay the groundwork for an all-government IRIS database, especially needed as more government Agencies, industries and non-governmental organizations are addressing evolving risk characterizations. Copyright © 2018. Published by Elsevier Inc.

  11. cis-1,2-Dichloroethylene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 09 / 006 F www.epa.gov / iris TOXICOLOGICAL REVIEW OF cis - 1,2 - DICHLOROETHYLENE and trans - 1,2 - DICHLOROETHYLENE ( CAS Nos . cis : 156 - 59 - 2 ; trans : 156 - 60 - 5 ; mixture : 540 - 59 - 0 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS )

  12. Report: Congressionally Requested Information on EPA Utilization of Integrated Risk Information System

    EPA Pesticide Factsheets

    Report #13-P-0127, January 31, 2013. 85 percent of the EPA survey respondents reported that they have used IRIS as their primary source for cancer values and 81 percent have used IRIS as their primary source for non-cancer values.

  13. IRIS Toxicological Review of Dichloromethane (Methylene Chloride) (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Dichloromethane (Methylene Chloride): In support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health. This ...

  14. IRIS Toxicological Review of Ethylene Glycol Mono Butyl ...

    EPA Pesticide Factsheets

    EPA has finalized the Toxicological Review of Ethylene Glycol Mono Butyl Ether: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health. N/A

  15. A hyperspectral imaging system for the evaluation of the human iris spectral reflectance

    NASA Astrophysics Data System (ADS)

    Di Cecilia, Luca; Marazzi, Francesco; Rovati, Luigi

    2017-02-01

    According to previous studies, the measurement of the human iris pigmentation can be exploited to detect certain eye pathological conditions in their early stage. In this paper, we propose an instrument and a method to perform hyperspectral quantitative measurements of the iris spectral reflectance. The system is based on a simple imaging setup, which includes a monochrome camera mounted on a standard ophthalmic microscope movement controller, a monochromator, and a flashing LED-based slit lamp. To assure quantitative measurements, the system is properly calibrated against a NIST reflectance standard. Iris reflectance images can be obtained in the spectral range 495-795 nm with a resolution of 25 nm. Each image consists of 1280 x 1024 pixels having a spatial resolution of 18 μm. Reflectance spectra can be calculated both from discrete areas of the iris and as the average of the whole iris surface. Preliminary results suggest that hyperspectral imaging of the iris can provide much more morphological and spectral information with respect to conventional qualitative colorimetric methods.

  16. Development of An Analytic Approach to Determine How Environmental Protection Agency’s Integrated Risk Information System (IRIS) Is Used by Non-EPA Decision Makers (Final Contractor Report)

    EPA Science Inventory

    EPA announced the availability of the final contractor report entitled, Development of an Analytic Approach to Determine How Environmental Protection Agency’s Integrated Risk Information System (IRIS) Is Used By Non EPA Decision Makers. This contractor report analyzed how ...

  17. IRIS Toxicological Review of Ethyl Tertiary Butyl Ether (Etbe) ...

    EPA Pesticide Factsheets

    In September 2016, the U.S. Environmental Protection Agency's (USEPA) released the draft Integrated Risk Information System (IRIS) Toxicological Review of Ethyl Tertiary Butyl Ether (ETBE). Consistent with the 2013 IRIS Enhancements, draft IRIS assessments are released prior to external peer review for a 60-day public comment period and discussed at an upcoming public science meeting. Accordingly, the toxicological review, supplementary information, and other materials pertaining to this draft assessment are posted on this site. This material is being released for public viewing and comment prior to a public meeting, providing an opportunity for the IRIS Program to engage in early discussions with stakeholders and the public on data that may be used to identify adverse health effects and characterize exposure-response relationships.

  18. A new method for generating an invariant iris private key based on the fuzzy vault system.

    PubMed

    Lee, Youn Joo; Park, Kang Ryoung; Lee, Sung Joo; Bae, Kwanghyuk; Kim, Jaihie

    2008-10-01

    Cryptographic systems have been widely used in many information security applications. One main challenge that these systems have faced has been how to protect private keys from attackers. Recently, biometric cryptosystems have been introduced as a reliable way of concealing private keys by using biometric data. A fuzzy vault refers to a biometric cryptosystem that can be used to effectively protect private keys and to release them only when legitimate users enter their biometric data. In biometric systems, a critical problem is storing biometric templates in a database. However, fuzzy vault systems do not need to directly store these templates since they are combined with private keys by using cryptography. Previous fuzzy vault systems were designed by using fingerprint, face, and so on. However, there has been no attempt to implement a fuzzy vault system that used an iris. In biometric applications, it is widely known that an iris can discriminate between persons better than other biometric modalities. In this paper, we propose a reliable fuzzy vault system based on local iris features. We extracted multiple iris features from multiple local regions in a given iris image, and the exact values of the unordered set were then produced using the clustering method. To align the iris templates with the new input iris data, a shift-matching technique was applied. Experimental results showed that 128-bit private keys were securely and robustly generated by using any given iris data without requiring prealignment.

  19. IRIS Toxicological Review of 1,4-Dioxane (Final Report)

    EPA Science Inventory

    EPA announced the release of the final report, Toxicological Review of 1,4-Dioxane (CAS No. 123-91-1): In Support of Summary Information on the Integrated Risk Information System (IRIS). The final Toxicological Review of 1,4-dioxane provides scientific support and rationa...

  20. 2,2\\',4,4\\'-Tetrabromodiphenyl ether (BDE-47)

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 07 / 005F www.epa.gov / iris TOXICOLOGICAL REVIEW OF 2,2 ' , 4,4 ' - TETRABROMODIPHENYL ETHER ( BDE - 47 ) ( CAS No . 5436 - 43 - 1 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) June 2008 U.S . Environmental Protection Agency Was

  1. IRIS Toxicological Review of Hydrogen Cyanide and Cyanide Salts (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Hydrogen Cyanide and Cyanide Salts: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  2. IRIS Toxicological Review of 1,1,2,2-Tetrachloroethane (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of 1,1,2,2-Tetrachloroethane: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  3. IRIS Toxicological Review of Cis-& Trans-1,2-Dichloroethylene (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of cis- & trans-1,2-Dichloroethylene: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  4. IRIS Toxicological Review of Tert-Butyl Alcohol (Tert-Butanol) ...

    EPA Pesticide Factsheets

    On April 29, 2016, the Toxicological Review of tert-Butyl Alcohol (tert-Butanol) (Public Comment Draft) was released for public comment. The draft Toxicological Review and charge were reviewed internally by EPA and by other federal agencies and the Executive Office of the President during Step 3 (Interagency Science Consultation) before public release. As part of the IRIS process, all written interagency comments on IRIS assessments will be made publicly available. Accordingly, interagency comments with EPA's response and the interagency science consultation drafts of the IRIS Toxicological Review of tert-Butanol and charge to external peer reviewers are posted on this site. EPA is undertaking a new health assessment for t-butyl alcohol (tert-butanol) for the Integrated Risk Information System (IRIS). The outcome of this project will be a Toxicological Review and IRIS and IRIS Summary of TBA that will be entered on the IRIS database. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information to evaluate potential public health risks associated with environmental contaminants. The IRIS database is relied on for the development of risk assessments, site-specific environmental decisions, and rule making.

  5. IRIS Toxicological Review of Ethyl Tertiary Butyl Ether (Etbe) ...

    EPA Pesticide Factsheets

    In September 2016, EPA released the draft IRIS Toxicological Review of Ethyl Tertiary Butyl Ether (ETBE) for public comment and discussion. The draft assessment was reviewed internally by EPA and by other federal agencies and White House Offices before public release. Consistent with the May 2009 IRIS assessment development process, all written comments on IRIS assessments submitted by other federal agencies and White House Offices are made publicly available. Accordingly, interagency comments and the interagency science consultation materials provided to other agencies, including interagency review drafts of the IRIS Toxicological Review of Ethyl Tertiary Butyl Ether are posted on this site. EPA is undertaking an new health assessment for ethyl tertiary butyl ether (ETBE) for the Integrated Risk Information System (IRIS). The outcome of this project will be a Toxicological Review and IRIS Summary of ETBE that will be entered on the IRIS database. IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment process, i.e., hazard identification and dose-response evaluation. IRIS assessments are used nationally and internationally in combination with specific situational exposure assessment infor

  6. 2,2\\',4,4\\',5-Pentabromodiphenyl ether (BDE-99)

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 07 / 006F www.epa.gov / iris TOXICOLOGICAL REVIEW OF 2,2 ' , 4,4 ' , 5 - PENTABROMODIPHENYL ETHER ( BDE - 99 ) ( CAS No . 60348 - 60 - 9 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) June 2008 U.S . Environmental Protection Agency Washington ,

  7. IRIS Toxicological Review of Ethylene Glycol Mono Butyl Ether (Egbe) (Final Report)

    EPA Science Inventory

    EPA has finalized the Toxicological Review of Ethylene Glycol Mono Butyl Ether: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health.

  8. FAQs about IRIs.

    ERIC Educational Resources Information Center

    Paris, Scott G.; Carpenter, Robert D.

    2003-01-01

    Provides information about informal reading inventories (IRI), an early reading assessment. Explains what IRIs are; who should administer an IRI; when and how to administer an IRI; the reliability of data from IRIs; and the limitations of IRIs. (PM)

  9. IRIS Toxicological Review of Propionaldehyde (External Review Draft)

    EPA Science Inventory

    EPA conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of propionaldehyde that will appear on the Integrated Risk Information System (IRIS) database.

  10. U.S. Air Force School of Aerospace Medicine Laboratory Sampling and Analysis Guide

    DTIC Science & Technology

    2016-11-15

    valuable information during the environmental health risk assessment.  EPA Integrated Risk Information System (IRIS). IRIS is a human health assessment...information for more than 550 chemical substances containing information on human health effects that may result from exposure to various substances in the...Crystalyn E. Brown November 2016 Air Force Research Laboratory 711th Human Performance Wing School of Aerospace Medicine

  11. IRIS Toxicological Review of Benzo[a]pyrene (Interagency ...

    EPA Pesticide Factsheets

    In January 2017, EPA finalized the IRIS assessment of Benzo[a]pyrene. The Toxicological Review was reviewed internally by EPA and by other federal agencies and White House Offices before public release. Consistent with the May 2009 IRIS assessment development process, all written comments on IRIS assessments submitted by other federal agencies and White House Offices are made publicly available. Accordingly, interagency comments and the interagency science discussion materials provided to other agencies, including interagency review drafts of the IRIS Toxicological Review of Benzo[a]pyrene are posted on this site. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for benzo[a]pyrene (BaP). The outcome of this project is an updated Toxicological Review and IRIS Summary for BaP that will be entered into the IRIS database.

  12. IRIS Toxicological Review of Chloroprene (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of chloroprene that will appear on the Integrated Risk Information System (IRIS) database.

  13. IRIS Toxicological Review of Chloroprene (2000 External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of chloroprene that will appear on the Integrated Risk Information System (IRIS) database.

  14. IRIS Toxicological Review of Trimethylbenzenes (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of trimethylbenzenes that will appear in the Integrated Risk Information System (IRIS) database.

  15. IRIS Toxicological Review of Ammonia (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of ammonia that will appear in the Integrated Risk Information System (IRIS) database.

  16. IRIS Toxicological Review of Pentachlorophenol (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of pentachlorophenol that will appear in the Integrated Risk Information System (IRIS) database.

  17. IRIS Toxicological Review of Hexavalent Chromium (Peer Review Plan)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of hexavalent chromium that will appear on the Integrated Risk Information System (IRIS) database.

  18. IRIS Toxicological Review of Biphenyl (External Review Draft) (September 2011)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of biphenyl that will appear in the Integrated Risk Information System (IRIS) database.

  19. IRIS Toxicological Review of n-Butanol (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of n-butanol that will appear in the Integrated Risk Information System (IRIS) database.

  20. 2,2\\',3,3\\',4,4\\',5,5\\',6,6\\'-Decabromodiphenyl ether (BDE-209)

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 07 / 008F www.epa.gov / iris TOXICOLOGICAL REVIEW OF DECABROMODIPHENYL ETHER ( BDE - 209 ) ( CAS No . 1163 - 19 - 5 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) June 2008 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This d

  1. Developmental validation of the IrisPlex system: determination of blue and brown iris colour for forensic intelligence.

    PubMed

    Walsh, Susan; Lindenbergh, Alexander; Zuniga, Sofia B; Sijen, Titia; de Knijff, Peter; Kayser, Manfred; Ballantyne, Kaye N

    2011-11-01

    The IrisPlex system consists of a highly sensitive multiplex genotyping assay together with a statistical prediction model, providing users with the ability to predict blue and brown human eye colour from DNA samples with over 90% precision. This 'DNA intelligence' system is expected to aid police investigations by providing phenotypic information on unknown individuals when conventional DNA profiling is not informative. Falling within the new area of forensic DNA phenotyping, this paper describes the developmental validation of the IrisPlex assay following the Scientific Working Group on DNA Analysis Methods (SWGDAM) guidelines for the application of DNA-based eye colour prediction to forensic casework. The IrisPlex assay produces complete SNP genotypes with only 31pg of DNA, approximately six human diploid cell equivalents, and is therefore more sensitive than commercial STR kits currently used in forensics. Species testing revealed human and primate specificity for a complete SNP profile. The assay is capable of producing accurate results from simulated casework samples such as blood, semen, saliva, hair, and trace DNA samples, including extremely low quantity samples. Due to its design, it can also produce full profiles with highly degraded samples often found in forensic casework. Concordance testing between three independent laboratories displayed reproducible results of consistent levels on varying types of simulated casework samples. With such high levels of sensitivity, specificity, consistency and reliability, this genotyping assay, as a core part of the IrisPlex system, operates in accordance with SWGDAM guidelines. Furthermore, as we demonstrated previously, the IrisPlex eye colour prediction system provides reliable results without the need for knowledge on the bio-geographic ancestry of the sample donor. Hence, the IrisPlex system, with its model-based prediction probability estimation of blue and brown human eye colour, represents a useful tool for immediate application in accredited forensic laboratories, to be used for forensic intelligence in tracing unknown individuals from crime scene samples. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

  2. Assessment of the potential noncancer health hazards of PCBs for inclusion on EPA’s Integrated Risk Information System (IRIS)

    EPA Science Inventory

    At present, there are IRIS RfDs for two commercial PCB mixtures: Aroclor 1016 and Aroclor 1254. There is no IRIS RfD for complex PCB mixtures in general; and the RfDs for Aroclor 1016 and Aroclor 1254 were last updated in 1993 and 1994, respectively. The new assessment will integ...

  3. Three-dimensional Hessian matrix-based quantitative vascular imaging of rat iris with optical-resolution photoacoustic microscopy in vivo

    NASA Astrophysics Data System (ADS)

    Zhao, Huangxuan; Wang, Guangsong; Lin, Riqiang; Gong, Xiaojing; Song, Liang; Li, Tan; Wang, Wenjia; Zhang, Kunya; Qian, Xiuqing; Zhang, Haixia; Li, Lin; Liu, Zhicheng; Liu, Chengbo

    2018-04-01

    For the diagnosis and evaluation of ophthalmic diseases, imaging and quantitative characterization of vasculature in the iris are very important. The recently developed photoacoustic imaging, which is ultrasensitive in imaging endogenous hemoglobin molecules, provides a highly efficient label-free method for imaging blood vasculature in the iris. However, the development of advanced vascular quantification algorithms is still needed to enable accurate characterization of the underlying vasculature. We have developed a vascular information quantification algorithm by adopting a three-dimensional (3-D) Hessian matrix and applied for processing iris vasculature images obtained with a custom-built optical-resolution photoacoustic imaging system (OR-PAM). For the first time, we demonstrate in vivo 3-D vascular structures of a rat iris with a the label-free imaging method and also accurately extract quantitative vascular information, such as vessel diameter, vascular density, and vascular tortuosity. Our results indicate that the developed algorithm is capable of quantifying the vasculature in the 3-D photoacoustic images of the iris in-vivo, thus enhancing the diagnostic capability of the OR-PAM system for vascular-related ophthalmic diseases in vivo.

  4. IRIS Toxicological Review of Hexachloroethane (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of hexachloroethane that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  5. IRIS Toxicological Review of Libby Amphibole Asbestos (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of Libby Amphibole Asbestos that will appear in the Integrated Risk Information System (IRIS) database.

  6. IRIS Toxicological Review of Hydrogen Cyanide (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of hydrogen cyanide and cyanide salts that will appear on the Integrated Risk Information System (IRIS) database.

  7. IRIS: A database application system for diseases identification using FTIR spectroscopy

    NASA Astrophysics Data System (ADS)

    Arshad, Ahmad Zulhilmi; Munajat, Yusof; Ibrahim, Raja Kamarulzaman Raja; Mahmood, Nasrul Humaimi

    2015-05-01

    Infrared information on diseases identification system (IRIS) is an application for diseases identification and analysis by using Fourier transform infrared (FTIR) spectroscopy. This is the preliminary step to gather information from the secondary data which was extracted from recognized various research and scientific paper, which are combined into a single database as in IRIS for our purpose of study. The importance of this database is to examine the fingerprint differences between normal and diseases cell or tissue. With the implementation of this application is it hopes that the diseases identification using FTIR spectroscopy would be more reliable and may assist either physicians, pathologists, or researchers to diagnose the certain type of disease efficiently.

  8. Physician acceptance of the IRIS user interface during a clinical trial at the Ottawa Civic Hospital

    NASA Astrophysics Data System (ADS)

    Coristine, Marjorie; Beeton, Carolyn; Tombaugh, Jo W.; Ahuja, J.; Belanger, Garry; Dillon, Richard F.; Currie, Shawn; Hind, E.

    1990-07-01

    During a clinical trial, emergency physicians and radiologists at the Ottawa Civic Hospital used IRIS (Integrated Radiological Information System) to process patients' x-rays, requisitions, and reports, and to have consultations, for 319 active cases. This paper discusses IRIS user interface issues raised during the clinical trial. The IRIS workstation consists of three major system components: 1) an image screen for viewing and enhancing images; 2) a control screen for presenting patient information, selecting images, and executing commands; and 3) a hands-free telephone for reporting activities and consultations. The control screen and hands-free telephone user interface allow physicians to navigate through patient files, select images and access reports, enter new reports, and perform remote consultations. Physicians were observed using the system during the trial and responded to questions about the user interface on an extensive debriefing interview after the trial. Overall, radiologists and emergency physicians were satisfied with IRIS control screen functionality and user interface. In a number of areas radiologists and emergency physicians differed in their user interface needs. Some features were found to be acceptable to one group of physicians but required modification to meet the needs of the other physician group. The data from the interviews, along with the comments from radiologists and emergency physicians provided important information for the revision of some features, and for the evolution of new features.

  9. IRIS Toxicological Review of Dichloromethane (Methylene Chloride) (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Dichloromethane that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  10. IRIS Toxicological Review of Tetrahydrofuran (THF) (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of tetrahydrofuran (THF) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  11. IRIS Toxicological Review of Trichloroethylene (TCE) (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Trichloroethylene (TCE) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  12. IRIS Toxicological Review of Cerium Oxide and Cerium Compounds (External Review Draft)

    EPA Science Inventory

    EPA conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of cerium oxide and cerium compounds that will appear on the Integrated Risk Information System (IRIS) database.

  13. A novel iris patterns matching algorithm of weighted polar frequency correlation

    NASA Astrophysics Data System (ADS)

    Zhao, Weijie; Jiang, Linhua

    2014-11-01

    Iris recognition is recognized as one of the most accurate techniques for biometric authentication. In this paper, we present a novel correlation method - Weighted Polar Frequency Correlation(WPFC) - to match and evaluate two iris images, actually it can also be used for evaluating the similarity of any two images. The WPFC method is a novel matching and evaluating method for iris image matching, which is complete different from the conventional methods. For instance, the classical John Daugman's method of iris recognition uses 2D Gabor wavelets to extract features of iris image into a compact bit stream, and then matching two bit streams with hamming distance. Our new method is based on the correlation in the polar coordinate system in frequency domain with regulated weights. The new method is motivated by the observation that the pattern of iris that contains far more information for recognition is fine structure at high frequency other than the gross shapes of iris images. Therefore, we transform iris images into frequency domain and set different weights to frequencies. Then calculate the correlation of two iris images in frequency domain. We evaluate the iris images by summing the discrete correlation values with regulated weights, comparing the value with preset threshold to tell whether these two iris images are captured from the same person or not. Experiments are carried out on both CASIA database and self-obtained images. The results show that our method is functional and reliable. Our method provides a new prospect for iris recognition system.

  14. The best bits in an iris code.

    PubMed

    Hollingsworth, Karen P; Bowyer, Kevin W; Flynn, Patrick J

    2009-06-01

    Iris biometric systems apply filters to iris images to extract information about iris texture. Daugman's approach maps the filter output to a binary iris code. The fractional Hamming distance between two iris codes is computed and decisions about the identity of a person are based on the computed distance. The fractional Hamming distance weights all bits in an iris code equally. However, not all the bits in an iris code are equally useful. Our research is the first to present experiments documenting that some bits are more consistent than others. Different regions of the iris are compared to evaluate their relative consistency, and contrary to some previous research, we find that the middle bands of the iris are more consistent than the inner bands. The inconsistent-bit phenomenon is evident across genders and different filter types. Possible causes of inconsistencies, such as segmentation, alignment issues, and different filters are investigated. The inconsistencies are largely due to the coarse quantization of the phase response. Masking iris code bits corresponding to complex filter responses near the axes of the complex plane improves the separation between the match and nonmatch Hamming distance distributions.

  15. IRIS Toxicological Review of Methanol (External Review Draft, 2013)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of methanol (non-cancer) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  16. IRIS Toxicological Review of Ammonia Noncancer Inhalation (Final Report)

    EPA Science Inventory

    EPA has finalized the Integrated Risk Information System (IRIS) Assessment of Ammonia (Noncancer Inhalation). This assessment addresses the potential noncancer human health effects from long-term inhalation exposure to ammonia. Now final, this assessment will update the ...

  17. IRIS Toxicological Review of Urea (External Review Draft)

    EPA Science Inventory

    EPA conducted a peer review and public comment of the scientific basis of a draft report supporting the human health hazard and dose-response assessment of Urea that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  18. IRIS Toxicological Review of Trichloroacetic Acid (TCA) (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Trichloroacetic acid (TCA) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  19. IRIS Toxicological Review of 1,1,2,2-Tetrachloroethane (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 1,1,2,2-tetrachloroethane that will appear on the Integrated Risk Information System (IRIS) database.

  20. IRIS Toxicological Review of Cis-& Trans-1,2-Dichloroethylene (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of cis- and trans-1,2-dichloroethylene that will appear in the Integrated Risk Information System (IRIS) database.

  1. IRIS Toxicological Review of Formaldehyde (Inhalation) (External Review Draft 2010)

    EPA Science Inventory

    UPDATE EPA is currently revising its Integrated Risk Information System (IRIS) assessment of formaldehyde to address the 2011 NAS peer review recommendations. This assessment addresses both noncancer and cancer human health effects that are relevant to assessing ...

  2. IRIS Toxicological Review of Beryllium and Compounds (2008 External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Beryllium that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  3. IRIS Toxicological Review of Ethylene Glycol Mono-Butyl Ether (Egbe) (External Review Draft)

    EPA Science Inventory

    EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of ethylene glycol monobutyl ether that will appear on the Integrated Risk Information System (IRIS) database.

  4. IRIS Toxicological Review of Vinyl Chloride (Final Report ...

    EPA Pesticide Factsheets

    EPA is announcing the release of the final report, Toxicological Review of Vinyl Chloride: in support of the Integrated Risk Information System (IRIS). The updated Summary for Vinyl Chloride and accompanying Quickview have also been added to the IRIS Database. Common synonyms of vinyl chloride (VC) include chloroethene, chloroethylene, ethylene monochloride, and monochloroethene. VC is a synthetic chemical used as a chemical intermediate in the polymerization of polyvinyl chloride.

  5. IRIS Toxicological Review of Urea (Final Report) | Science ...

    EPA Pesticide Factsheets

    EPA has finalized the Toxicological Review of Urea: in support of the Integrated Risk Information System (IRIS). Now final, this assessment may be used by EPA’s program and regional offices to inform decisions to protect human health. The draft Toxicological Review of Urea provides scientific support and rationale for the hazard and dose-response assessment pertaining to chronic exposure to Urea.

  6. Multimodal biometric digital watermarking on immigrant visas for homeland security

    NASA Astrophysics Data System (ADS)

    Sasi, Sreela; Tamhane, Kirti C.; Rajappa, Mahesh B.

    2004-08-01

    Passengers with immigrant Visa's are a major concern to the International Airports due to the various fraud operations identified. To curb tampering of genuine Visa, the Visa's should contain human identification information. Biometric characteristic is a common and reliable way to authenticate the identity of an individual [1]. A Multimodal Biometric Human Identification System (MBHIS) that integrates iris code, DNA fingerprint, and the passport number on the Visa photograph using digital watermarking scheme is presented. Digital Watermarking technique is well suited for any system requiring high security [2]. Ophthalmologists [3], [4], [5] suggested that iris scan is an accurate and nonintrusive optical fingerprint. DNA sequence can be used as a genetic barcode [6], [7]. While issuing Visa at the US consulates, the DNA sequence isolated from saliva, the iris code and passport number shall be digitally watermarked in the Visa photograph. This information is also recorded in the 'immigrant database'. A 'forward watermarking phase' combines a 2-D DWT transformed digital photograph with the personal identification information. A 'detection phase' extracts the watermarked information from this VISA photograph at the port of entry, from which iris code can be used for identification and DNA biometric for authentication, if an anomaly arises.

  7. IRIS Toxicological Review of 1,4-Dioxane (External Review Draft, 2009)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of 1,4-dioxane that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  8. IRIS Toxicological Review of Benzo[a]pyrene (Final Report)

    EPA Science Inventory

    EPA has finalized the Integrated Risk Information System (IRIS) assessment of benzo[a]pyrene. This assessment addresses the potential cancer and noncancer human health effects from long-term exposure to benzo[a]pyrene. Now final, this assessment will update the toxicological info...

  9. IRIS Toxicological Review of Methanol (Non-Cancer) (External Review Draft; April 2011)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of methanol (non-cancer) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  10. IRIS Toxicological Review of Halogenated Platinum Salts and Platinum Compounds (External Review Draft)

    EPA Science Inventory

    EPA released the draft toxicological review for public comment under the Integrated Risk Information System (IRIS) Program. The original draft assessment (January 2009) has been archived but is available on this web page for the sake of transparency.

  11. Climate information for public health: the role of the IRI climate data library in an integrated knowledge system.

    PubMed

    del Corral, John; Blumenthal, M Benno; Mantilla, Gilma; Ceccato, Pietro; Connor, Stephen J; Thomson, Madeleine C

    2012-09-01

    Public health professionals are increasingly concerned about the potential impact of climate variability and change on health outcomes. Protecting public health from the vagaries of climate requires new working relationships between the public health sector and the providers of climate data and information. The Climate Information for Public Health Action initiative at the International Research Institute for Climate and Society (IRI) is designed to increase the public health community's capacity to understand, use and demand appropriate climate data and climate information to mitigate the public health impacts of the climate. Significant challenges to building the capacity of health professionals to use climate information in research and decision-making include the difficulties experienced by many in accessing relevant and timely quality controlled data and information in formats that can be readily incorporated into specific analysis with other data sources. We present here the capacities of the IRI climate data library and show how we have used it to build an integrated knowledge system in the support of the use of climate and environmental information in climate-sensitive decision-making with respect to health. Initiated as an aid facilitating exploratory data analysis for climate scientists, the IRI climate data library has emerged as a powerful tool for interdisciplinary researchers focused on topics related to climate impacts on society, including health.

  12. IRIS Toxicological Review of Beryllium and Compounds (2008 ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Beryllium that when finalized will appear on the Integrated Risk Information System (IRIS) database. An IRIS Toxicological Review of Beryllium and Compounds was published in 1988 and reassessed in 1998. The current draft (2007) only focuses on the cancer assessment and does not re-evaluate posted reference doses or reference concentrations.

  13. IRIS Toxicological Review of Carbon Tetrachloride (External Review Draft)

    EPA Science Inventory

    EPA conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of carbon tetrachloride that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and...

  14. IRIS Toxicological Review of Inorganic Arsenic (Cancer) (2010 External Review Draft)

    EPA Science Inventory

    EPA's Science Advisory Board (SAB) conducted a review of the scientific basis supporting the human health cancer hazard and dose-response assessment of inorganic arsenic that will appear on the Integrated Risk Information System (IRIS) database. EPA revised the assessment and is...

  15. IRIS Toxicological Review of Bromobenzene (External Review Draft)

    EPA Science Inventory

    EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of Bromobenzene that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and app...

  16. IRIS Toxicological Review of Acrylamide (External Review Draft)

    EPA Science Inventory

    EPA has conducted a peer review by EPA’s Science Advisory Board (SAB) of the scientific basis supporting the human health hazard and dose-response assessment of acrylamide that once finalized will appear on the Integrated Risk Information System (IRIS) database. Peer review is m...

  17. IRIS Toxicological Review of Tetrachloroethylene (Perchloroethylene) (External Review Draft)

    EPA Science Inventory

    EPA conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of tetrachloroethylene that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and ...

  18. IRIS Toxicological Review of Nitrobenzene (External Review Draft)

    EPA Science Inventory

    EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessments of nitrobenzene, that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and a...

  19. IRIS Toxicological Review of Benzo[a]pyrene (Interagency ...

    EPA Pesticide Factsheets

    On August 21, 2013, the draft Toxicological Review of Benzo[a]pyrene and the draft charge to external peer reviewers were released for public review and comment. The Toxicological Review and charge were reviewed internally by EPA and by other federal agencies and White House Offices before public release. Consistent with the May 2009 IRIS assessment development process, all written comments on IRIS assessments submitted by other federal agencies and White House Offices are made publicly available. Accordingly, interagency comments and the interagency science consultation materials provided to other agencies, including interagency review drafts of the IRIS Toxicological Review of Benzo[a]pyrene and the charge to external peer reviewers, are posted on this site. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for benzo[a]pyrene (BaP). The outcome of this project is an updated Toxicological Review and IRIS Summary for BaP that will be entered into the IRIS database.

  20. Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification.

    PubMed

    Rajagopal, Gayathri; Palaniswamy, Ramamoorthy

    2015-01-01

    This research proposes a multimodal multifeature biometric system for human recognition using two traits, that is, palmprint and iris. The purpose of this research is to analyse integration of multimodal and multifeature biometric system using feature level fusion to achieve better performance. The main aim of the proposed system is to increase the recognition accuracy using feature level fusion. The features at the feature level fusion are raw biometric data which contains rich information when compared to decision and matching score level fusion. Hence information fused at the feature level is expected to obtain improved recognition accuracy. However, information fused at feature level has the problem of curse in dimensionality; here PCA (principal component analysis) is used to diminish the dimensionality of the feature sets as they are high dimensional. The proposed multimodal results were compared with other multimodal and monomodal approaches. Out of these comparisons, the multimodal multifeature palmprint iris fusion offers significant improvements in the accuracy of the suggested multimodal biometric system. The proposed algorithm is tested using created virtual multimodal database using UPOL iris database and PolyU palmprint database.

  1. Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification

    PubMed Central

    Rajagopal, Gayathri; Palaniswamy, Ramamoorthy

    2015-01-01

    This research proposes a multimodal multifeature biometric system for human recognition using two traits, that is, palmprint and iris. The purpose of this research is to analyse integration of multimodal and multifeature biometric system using feature level fusion to achieve better performance. The main aim of the proposed system is to increase the recognition accuracy using feature level fusion. The features at the feature level fusion are raw biometric data which contains rich information when compared to decision and matching score level fusion. Hence information fused at the feature level is expected to obtain improved recognition accuracy. However, information fused at feature level has the problem of curse in dimensionality; here PCA (principal component analysis) is used to diminish the dimensionality of the feature sets as they are high dimensional. The proposed multimodal results were compared with other multimodal and monomodal approaches. Out of these comparisons, the multimodal multifeature palmprint iris fusion offers significant improvements in the accuracy of the suggested multimodal biometric system. The proposed algorithm is tested using created virtual multimodal database using UPOL iris database and PolyU palmprint database. PMID:26640813

  2. An automatic iris occlusion estimation method based on high-dimensional density estimation.

    PubMed

    Li, Yung-Hui; Savvides, Marios

    2013-04-01

    Iris masks play an important role in iris recognition. They indicate which part of the iris texture map is useful and which part is occluded or contaminated by noisy image artifacts such as eyelashes, eyelids, eyeglasses frames, and specular reflections. The accuracy of the iris mask is extremely important. The performance of the iris recognition system will decrease dramatically when the iris mask is inaccurate, even when the best recognition algorithm is used. Traditionally, people used the rule-based algorithms to estimate iris masks from iris images. However, the accuracy of the iris masks generated this way is questionable. In this work, we propose to use Figueiredo and Jain's Gaussian Mixture Models (FJ-GMMs) to model the underlying probabilistic distributions of both valid and invalid regions on iris images. We also explored possible features and found that Gabor Filter Bank (GFB) provides the most discriminative information for our goal. Finally, we applied Simulated Annealing (SA) technique to optimize the parameters of GFB in order to achieve the best recognition rate. Experimental results show that the masks generated by the proposed algorithm increase the iris recognition rate on both ICE2 and UBIRIS dataset, verifying the effectiveness and importance of our proposed method for iris occlusion estimation.

  3. 78 FR 44624 - Inquiry Routing and Information System; Correction

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-24

    ... DEPARTMENT OF VETERANS AFFAIRS [OMB Control No. 2900-0619] Inquiry Routing and Information System; Correction AGENCY: Office of Information and Technology, Department of Veterans Affairs. ACTION: Notice... information titled ``Inquiry Routing and Information System (IRIS) to the Office of Management and Budget (OMB...

  4. IRIS Toxicological Review of 1,4-Dioxane (with Inhalation Update) (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of 1,4-Dioxane (with inhalation update) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  5. IRIS Toxicological Review of 2-Hexanone (External Review Draft)

    EPA Science Inventory

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 2-hexanone that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and appro...

  6. IRIS Toxicological Review of Ethyl Tertiary Butyl Ether (ETBE) (External Review Draft, 2009)

    EPA Science Inventory

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of ethyl tertiary butyl ether (ETBE) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  7. IRIS Toxicological Review of Dibutyl Phthalate (DBP) (External Review Draft) 2006

    EPA Science Inventory

    The U.S. EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of dibutyl phthalate that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used cr...

  8. IRIS Toxicological Review of 1,2,3-Trichloropropane (External Review Draft)

    EPA Science Inventory

    EPA conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 1,2,3-trichloropropane (TCP) that once finalized will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that scie...

  9. 75 FR 16108 - Science Advisory Board Staff Office; Notification of a Public Teleconference and Public Meeting...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-31

    ... Information System (IRIS) is an electronic database containing descriptive and quantitative toxicological... Office of Research and Development (ORD). In 2001, ORD developed a draft IRIS Toxicological Assessment..., the National Research Council (NRC) was requested to provide a scientific consultation on key...

  10. IRIS Toxicological Review for Carbon Tetrachloride ...

    EPA Pesticide Factsheets

    EPA released the draft report,Toxicological Review for Carbon Tetrachloride(Interagency Science Discussion Draft), that was distributed to Federal agencies and White House Offices for comment during the Science Discussion step of the IRIS Assessment Development Process. Comments received from other Federal agencies and White House Offices are provided below with external peer review panel comments. EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of carbon tetrachloride that will appear on the Integrated Risk Information System (IRIS) database.

  11. IRIS Toxicological Review of Trichloroethylene (TCE) ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Trichloroethylene (TCE) that when finalized will appear on the Integrated Risk Information System (IRIS) database. The purpose of this Toxicological Review is to provide scientific support and rationale for the hazard and dose-response assessment in IRIS pertaining to chronic exposure to trichloroethylene. It is not intended to be a comprehensive treatise on the chemical or toxicological nature of trichloroethylene.

  12. IRIS Toxicological Review of 2-Hexanone (External Review ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 2-hexanone that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and appropriately in derivation of the dose-response assessments and toxicological characterization. 2-Hexanone was nominated for IRIS assessment because of its frequent detection at sites nation-wide and its occurrence as a byproduct of certain industrial processes.

  13. IRIS Toxicological Review of Inorganic Arsenic (Cancer) ...

    EPA Pesticide Factsheets

    EPA's Science Advisory Board (SAB) conducted a review of the scientific basis supporting the human health cancer hazard and dose-response assessment of inorganic arsenic that will appear on the Integrated Risk Information System (IRIS) database. EPA revised the assessment and is now returning the assessment to the SAB and releasing the document to the public for a focused review of EPA's responses to the SAB recommendations. This draft IRIS health assessment addresses only cancer human health effects that may result from chronic exposure to this chemical.

  14. IRIS Toxicological Review of Ethylene Glycol Mono-Butyl ...

    EPA Pesticide Factsheets

    EPA released the draft report, Toxicological Review for Ethylene Glycol Mono-Butyl Ether , that was distributed to Federal agencies and White House Offices for comment during the Science Discussion step of the IRIS Assessment Development Process. Comments received from other Federal agencies and White House Offices are provided below with external peer review panel comments. EPA is conducting a peer review of the scientific basis supporting the human health hazard and dose-response assessment of EGBE that will appear on the Integrated Risk Information System (IRIS) database.

  15. IRIS Toxicological Review of Hexahydro-1,3,5-Trinitro-1,3,5 ...

    EPA Pesticide Factsheets

    On March 10, 2016, the public comment draft Toxicological Review of Hexahydro-1,3,5-trinitro-1,3,5-triazine and the draft charge to external peer reviewers were released for public review and comment. The Toxicological Review and charge were reviewed internally by EPA and by other federal agencies and White House Offices before public release. Consistent with the May 2009 IRIS assessment development process, all written comments on IRIS assessments submitted by other federal agencies and White House Offices are made publicly available. Accordingly, interagency comments and the interagency science consultation materials provided to other agencies, including interagency review drafts of the IRIS Toxicological Review of Hexahydro-1,3,5-trinitro-1,3,5-triazine and the charge to external peer reviewers, are posted on this site. EPA is undertaking an update of the Integrated Risk Information System (IRIS) health assessment for RDX. The outcome of this project is an updated Toxicological Review and IRIS Summary for RDX that will be entered into the IRIS database.

  16. EPA Peer Consultation Workshop Report on the Review of the Draft IRIS Toxicological Review of Dibutyl Phthalate (DBP)

    EPA Science Inventory

    The U.S. EPA finalized comments gathered from a public peer review of the scientific basis supporting the human health hazard and dose-response assessment of dibutyl phthalate (DBP) that will appear on the Integrated Risk Information System (IRIS) database. The peer review has en...

  17. IRIS Toxicological Review and Summary Documents for 1,4-Dichlorobenzene (External Peer Review)

    EPA Science Inventory

    The U.S. EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 1,4-dichlorobenzene that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used ...

  18. IRIS TOXICOLOGICAL REVIEW AND SUMMARY DOCUMENTS FOR BORON AND COMPOUNDS (THIRD EXTERNAL REVIEW DRAFT 2002)

    EPA Science Inventory

    The U. S. EPA has conducted a peer review of the scientific basis supporting the health hazard and dose response assessment for Boron that will appear on the Agency's online data base, the Integrated Risk Information System (IRIS). Peer Review is meant to ensure that science is u...

  19. IRIS TOXICOLOGICAL REVIEW AND SUMMARY DOCUMENTS FOR 2,2,4-TRIMETHYLPENTANE (EXTERNAL REVIEW DRAFT)

    EPA Science Inventory

    EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 2,2,4-trimethylpentane, also called TMP, that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that scie...

  20. IRIS TOXICOLOGICAL REVIEW AND SUMMARY DOCUMENTS FOR 1,1,1-TRICHLOROETHANE (EXTERNAL REVIEW DRAFT)

    EPA Science Inventory

    EPA has conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 1,1,1-trichloroethane that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibl...

  1. NOVEL OBSERVATIONS AND POTENTIAL APPLICATIONS USING DIGITAL INFRARED IRIS IMAGING

    PubMed Central

    Roberts, Daniel K.; Lukic, Ana; Yang, Yongyi; Moroi, Sayoko E.; Wilensky, Jacob T.; Wernick, Miles N.

    2017-01-01

    Digital infrared (IR) iris photography using a modified digital camera system was carried out on about 300 subjects seen during routine clinical care and research at one facility. Since this image database offered opportunity to gain new insight into the potential utility of IR iris imaging, it was surveyed for unique image patterns. Then, a selection of photos was compiled that would illustrate the spectrum of this imaging experience. Potentially informative image patterns were observed in subjects with cataracts, diabetic retinopathy, Posner-Schlossman syndrome, iridociliary cysts, long anterior lens zonules, nevi, oculocutaneous albinism, pigment dispersion syndrome, pseudophakia, suspected vascular anomaly, and trauma. Image patterns were often unanticipated regardless of pre-existing information and suggest that IR iris imaging may have numerous potential clinical and research applications, some of which may still not be recognized. These observations suggest further development and study of this technology. PMID:19320317

  2. A Statistical Analysis of IrisCode and Its Security Implications.

    PubMed

    Kong, Adams Wai-Kin

    2015-03-01

    IrisCode has been used to gather iris data for 430 million people. Because of the huge impact of IrisCode, it is vital that it is completely understood. This paper first studies the relationship between bit probabilities and a mean of iris images (The mean of iris images is defined as the average of independent iris images.) and then uses the Chi-square statistic, the correlation coefficient and a resampling algorithm to detect statistical dependence between bits. The results show that the statistical dependence forms a graph with a sparse and structural adjacency matrix. A comparison of this graph with a graph whose edges are defined by the inner product of the Gabor filters that produce IrisCodes shows that partial statistical dependence is induced by the filters and propagates through the graph. Using this statistical information, the security risk associated with two patented template protection schemes that have been deployed in commercial systems for producing application-specific IrisCodes is analyzed. To retain high identification speed, they use the same key to lock all IrisCodes in a database. The belief has been that if the key is not compromised, the IrisCodes are secure. This study shows that even without the key, application-specific IrisCodes can be unlocked and that the key can be obtained through the statistical dependence detected.

  3. 76 FR 57033 - Draft Toxicological Review of n-Butanol: In Support of Summary Information on the Integrated Risk...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-09-15

    ... Toxicological Review of n-Butanol: In Support of Summary Information on the Integrated Risk Information System..., ``Toxicological Review of n-Butanol: In Support of Summary Information on the Integrated Risk Information System...-Butanol: In Support of Summary Information on the Integrated Risk Information System (IRIS)'' is available...

  4. IRIS TOXICOLOGICAL REVIEW AND SUMMARY ...

    EPA Pesticide Factsheets

    The known toxic effects of perchloroethylene will be summarized, with citations from current scientific literature. The critical effects will be identified, and from this the RfD and RfC and cancer unit risk factors will be derived. The RfD and RfC are reference doses and air concentrations that are generally regarded as safe under conditions of chronic exposure. The cancer unit risks in air and drinking water are the estimated lifetime cancer risks expected to occur from a lifetime exposure to a concentration of 1 microgram per cubic meter in the air and to a drinking water concentration of 1 microgram per liter. This summary document will be peer reviewed within the Agency and by experts outside the Agency according to the standard IRIS procedures. For up-to-date project schedules see IRIS Track at http://cfpub.epa.gov/iristrac/index.cfm The U.S. EPA is conducting a new health assessment of tetrachloroethylene that will appear on the Agency's online database, the Integrated Risk Information System (IRIS). IRIS is an EPA database containing Agency scientific positions on potential adverse human health effects that may result from chronic (or lifetime) exposure to chemicals in the environment. IRIS contains chemical-specific summaries of qualitative and quantitative health information in support of two steps of the risk assessment process, i.e., hazard identification and dose-response evaluation. IRIS assessments are used in combination with specific sit

  5. Ordinal measures for iris recognition.

    PubMed

    Sun, Zhenan; Tan, Tieniu

    2009-12-01

    Images of a human iris contain rich texture information useful for identity authentication. A key and still open issue in iris recognition is how best to represent such textural information using a compact set of features (iris features). In this paper, we propose using ordinal measures for iris feature representation with the objective of characterizing qualitative relationships between iris regions rather than precise measurements of iris image structures. Such a representation may lose some image-specific information, but it achieves a good trade-off between distinctiveness and robustness. We show that ordinal measures are intrinsic features of iris patterns and largely invariant to illumination changes. Moreover, compactness and low computational complexity of ordinal measures enable highly efficient iris recognition. Ordinal measures are a general concept useful for image analysis and many variants can be derived for ordinal feature extraction. In this paper, we develop multilobe differential filters to compute ordinal measures with flexible intralobe and interlobe parameters such as location, scale, orientation, and distance. Experimental results on three public iris image databases demonstrate the effectiveness of the proposed ordinal feature models.

  6. IRIS Toxicological Review of Dichloromethane (Methylene ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Dichloromethane that when finalized will appear on the Integrated Risk Information System (IRIS) database. The draft Toxicological Review of Dichloromethane provides scientific support and rationale for the hazard and dose-response assessment pertaining to chronic exposure to dichloromethane.

  7. Fuzzy difference-of-Gaussian-based iris recognition method for noisy iris images

    NASA Astrophysics Data System (ADS)

    Kang, Byung Jun; Park, Kang Ryoung; Yoo, Jang-Hee; Moon, Kiyoung

    2010-06-01

    Iris recognition is used for information security with a high confidence level because it shows outstanding recognition accuracy by using human iris patterns with high degrees of freedom. However, iris recognition accuracy can be reduced by noisy iris images with optical and motion blurring. We propose a new iris recognition method based on the fuzzy difference-of-Gaussian (DOG) for noisy iris images. This study is novel in three ways compared to previous works: (1) The proposed method extracts iris feature values using the DOG method, which is robust to local variations of illumination and shows fine texture information, including various frequency components. (2) When determining iris binary codes, image noises that cause the quantization error of the feature values are reduced with the fuzzy membership function. (3) The optimal parameters of the DOG filter and the fuzzy membership function are determined in terms of iris recognition accuracy. Experimental results showed that the performance of the proposed method was better than that of previous methods for noisy iris images.

  8. 76 FR 71029 - Draft Toxicological Review of n-Butanol: In Support of Summary Information on the Integrated Risk...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-16

    ... Toxicological Review of n-Butanol: In Support of Summary Information on the Integrated Risk Information System... Information on the Integrated Risk Information System (IRIS)'' (EPA/635/R-11/081A). On September 15, 2011, the... ``Toxicological Review of n-Butanol: In Support of Summary Information on the Integrated Risk Information System...

  9. Iris segmentation using an edge detector based on fuzzy sets theory and cellular learning automata.

    PubMed

    Ghanizadeh, Afshin; Abarghouei, Amir Atapour; Sinaie, Saman; Saad, Puteh; Shamsuddin, Siti Mariyam

    2011-07-01

    Iris-based biometric systems identify individuals based on the characteristics of their iris, since they are proven to remain unique for a long time. An iris recognition system includes four phases, the most important of which is preprocessing in which the iris segmentation is performed. The accuracy of an iris biometric system critically depends on the segmentation system. In this paper, an iris segmentation system using edge detection techniques and Hough transforms is presented. The newly proposed edge detection system enhances the performance of the segmentation in a way that it performs much more efficiently than the other conventional iris segmentation methods.

  10. Analysis of discrepancies observed between digital and analog images during a clinical trial of IRIS

    NASA Astrophysics Data System (ADS)

    Goldberg, Morris; Coristine, Marjorie; Currie, Shawn; Belanger, Garry; Ahuja, J.; Dillon, Richard F.; Robertson, John G.

    1990-08-01

    A clinical trial of an Integrated Radiological Information System (IRIS) was conducted at the Ottawa Civic Hospital with the Department of Emergency Medicine and the Department of Radiological Sciences between April 4, and May 12, 1989. During the trial, 319 active Emergency Department cases (905 films) were processed using IRIS. Radiologists examined the digital images on the image screen to formulate a diagnosis, then before dictating a report, they examined the analog films. In 30 cases there was a discrepancy between the information obtained while viewing the digital images on IRIS and the information obtained from the analog films. These anomalous cases were used in an independent study of the discrepancies. In the study, each case was reviewed in both digital and analog form by three physicians who provided a comparative rating of diagnostic quality. Any perceived differences between the digital and analog media were noted. Particular attention was paid to rating the relevance of the IRIS enhancement capabilities. Although ratings for digital images were high, the comparative ratings for the film are in general better. An analysis of the individual cases shows that: (i) most of the discrepancies probably resulted from physician inexperience in reading radiographs in digital form, (ii) the IRIS enhancement facilities significantly increase the ratings of satisfaction or perceived quality of digital images and (iii) an appropriate choice of enhancement may make visible the required diagnostic features for cases where some reviewers did not find the image/digital discrepant.

  11. 75 FR 1617 - Draft Toxicological Review of Methanol: In Support of the Summary Information in the Integrated...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-01-12

    ... on the Integrated Risk Information System (IRIS)'' (EPA/635/R-09/013). The draft document was... ``Toxicological Review of Methanol: In Support of Summary Information on the Integrated Risk Information System... Toxicological Review of Methanol: In Support of the Summary Information in the Integrated Risk Information...

  12. IRIS TOXICOLOGICAL REVIEW AND SUMMARY ...

    EPA Pesticide Factsheets

    EPA's assessment of the noncancer health effects and carcinogenic potential of Beryllium was added to the IRIS database in 1998. The IRIS program is updating the IRIS assessment for Beryllium. This update will incorporate health effects information published since the last assessment was prepared as well as new risk assessment methods. The IRIS assessment for Beryllium will consist of an updated Toxicological Review and IRIS Summary. The Toxicological Review is a critical review of the physicochemical and toxicokinetic properties of the chemical and its toxicity in humans and experimental systems. The assessment will present reference values for noncancer effects of Beryllium (RfD and RfC) and a cancer assessment. The Toxicological Review and IRIS Summary will be subject to internal peer consultation, Agency and Interagency review, and external scientific peer review. The final products will constitute the Agency's opinion on the toxicity of Beryllium. Beryllium is a light alkaline earth metal used in metal alloys and in high-performance products in the metallurgical, aerospace, and nuclear industries. According to the Superfund database, beryllium is found in over 300 NPL sites

  13. The hippocampus, time and working memory.

    PubMed

    Rawlins, J N; Tsaltas, E

    1983-12-01

    Rats were trained on a discrete trial working memory leverpress alternation task, following hippocampal lesions (HC), cortical control lesions (CC) or sham operations (SO). Each trial consisted of a forced information response, for which a randomly selected lever was presented followed by a free choice stage, when both levers were presented. The rats were rewarded for pressing the lever which had not been presented at the information stage. When the information response was not rewarded, all rats learnt the task equally well at IRIs of up to 12.75 sec. When the information response was rewarded, the HC rats showed impaired choice accuracy. The extent of this impairment depended on the IRI, being greatest at long IRIs, and least at short ones. Varying the number of leverpresses required to complete the information response affected choice accuracy equivalently in all groups: all rats chose significantly less accurately when only one leverpress was required than when ten leverpresses were required. There was no interaction between the lesion treatments and the information response requirements. It was concluded that both the length of the IRI and the occurrence of events during the IRI determine the extent of the hippocampal lesion-induced performance deficit in working memory tasks. It is proposed that hippocampal damage disrupts an intermediate-term, high-capacity memory buffer, but leaves both a residual short-term memory system and the long-term retention of associations unaffected. This proposal leads to the prediction that reference memory tasks should also be affected by hippocampal lesions when a delay is introduced between making a response and being rewarded for doing so.

  14. RE: Toxicological Review of Inorganic Arsenic: In Support of the Summary Information on the Integrated Risk Information System -- Comments Submitted for Review by the SAB Workgroup

    EPA Pesticide Factsheets

    Submission of comments by the Organic Arsenical Products Task Force on the draft document Toxicological Review of Inorganic Arsenic: In Support of the Summary Information on the Integrated Risk Information System (IRIS).

  15. Use of epidemiologic data in Integrated Risk Information System (IRIS) assessments

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Persad, Amanda S.; Cooper, Glinda S.

    2008-11-15

    In human health risk assessment, information from epidemiologic studies is typically utilized in the hazard identification step of the risk assessment paradigm. However, in the assessment of many chemicals by the Integrated Risk Information System (IRIS), epidemiologic data, both observational and experimental, have also been used in the derivation of toxicological risk estimates (i.e., reference doses [RfD], reference concentrations [RfC], oral cancer slope factors [CSF] and inhalation unit risks [IUR]). Of the 545 health assessments posted on the IRIS database as of June 2007, 44 assessments derived non-cancer or cancer risk estimates based on human data. RfD and RfC calculationsmore » were based on a spectrum of endpoints from changes in enzyme activity to specific neurological or dermal effects. There are 12 assessments with IURs based on human data, two assessments that extrapolated human inhalation data to derive CSFs and one that used human data to directly derive a CSF. Lung or respiratory cancer is the most common endpoint for cancer assessments based on human data. To date, only one chemical, benzene, has utilized human data for derivation of all three quantitative risk estimates (i.e., RfC, RfD, and dose-response modeling for cancer assessment). Through examples from the IRIS database, this paper will demonstrate how epidemiologic data have been used in IRIS assessments for both adding to the body of evidence in the hazard identification process and in the quantification of risk estimates in the dose-response component of the risk assessment paradigm.« less

  16. IRIS Toxicological Review of Formaldehyde (Inhalation) ...

    EPA Pesticide Factsheets

    UPDATE EPA is currently revising its Integrated Risk Information System (IRIS) assessment of formaldehyde to address the 2011 NAS peer review recommendations. This assessment addresses both noncancer and cancer human health effects that are relevant to assessing the risks from chronic inhalation exposure to formaldehyde. To facilitate discussion of several scientific issues pertinent to the assessment, EPA convened a state-of-the-science workshop on April 30 and May 1, 2014. This workshop focused on the following three themes: Evidence pertaining to the influence of formaldehyde that is produced endogenously (by the body during normal biological processes) on the toxicity of inhaled formaldehyde, and implications for the health assessment; Mechanistic evidence relevant to formaldehyde inhalation exposure and lymphohematopoietic cancers (leukemia and lymphomas); and Epidemiological research examining the potential association between formaldehyde exposure and lymphohematopoietic cancers (leukemia and lymphomas). June 2010: EPA is conducting an independent expert peer review by the National Academy of Sciences and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Formaldehyde-Inhalation that when finalized will appear on the Integrated Risk Information System (IRIS) database. This draft IRIS health assessment addresses both noncancer and cancer human health effects that may result from chronic inhal

  17. IRIS Toxicological Review of Tetrachloroethylene ...

    EPA Pesticide Factsheets

    EPA conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of tetrachloroethylene that will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and appropriately in derivation of the toxicological characterization and dose-response assessments. This draft health assessment addresses both non-cancer and cancer human health effects that may result from chronic exposure to tetrachloroethylene (also called Perchloroethylene or Perc) . This is an update of an existing assessment posted on IRIS in 1988. This draft Toxicological Review includes a chronic Reference Concentration (RfC) and carcinogenicity assessment, which are not currently available on IRIS, as well as an update of the 1988 IRIS Reference Dose (RfD). Tetrachloroethylene is a chemical solvent that is widely used for dry cleaning of fabrics, metal degreasing, and in making some consumer products and other chemicals.

  18. 75 FR 25239 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-05-07

    ... human health assessment program that evaluates quantitative and qualitative risk information on effects... quantitative and qualitative risk information on effects that may result from exposure to specific chemical...

  19. 78 FR 26029 - Toxicological Review of Methanol (Non-Cancer): In Support of Summary Information on the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-03

    ... of Methanol (Non-Cancer): In Support of Summary Information on the Integrated Risk Information System... Integrated Risk Information System (IRIS)'' (EPA/635/R-11/001Ba), which will be posted on NCEA's Web site... Review of Methanol (Non-Cancer): In Support of Summary Information on the Integrated Risk Information...

  20. Tools for Integrating Data Access from the IRIS DMC into Research Workflows

    NASA Astrophysics Data System (ADS)

    Reyes, C. G.; Suleiman, Y. Y.; Trabant, C.; Karstens, R.; Weertman, B. R.

    2012-12-01

    Web service interfaces at the IRIS Data Management Center (DMC) provide access to a vast archive of seismological and related geophysical data. These interfaces are designed to easily incorporate data access into data processing workflows. Examples of data that may be accessed include: time series data, related metadata, and earthquake information. The DMC has developed command line scripts, MATLAB® interfaces and a Java library to support a wide variety of data access needs. Users of these interfaces do not need to concern themselves with web service details, networking, or even (in most cases) data conversion. Fetch scripts allow access to the DMC archive and are a comfortable fit for command line users. These scripts are written in Perl and are well suited for automation and integration into existing workflows on most operating systems. For metdata and event information, the Fetch scripts even parse the returned data into simple text summaries. The IRIS Java Web Services Library (IRIS-WS Library) allows Java developers the ability to create programs that access the DMC archives seamlessly. By returning the data and information as native Java objects the Library insulates the developer from data formats, network programming and web service details. The MATLAB interfaces leverage this library to allow users access to the DMC archive directly from within MATLAB (r2009b or newer), returning data into variables for immediate use. Data users and research groups are developing other toolkits that use the DMC's web services. Notably, the ObsPy framework developed at LMU Munich is a Python Toolbox that allows seamless access to data and information via the DMC services. Another example is the MATLAB-based GISMO and Waveform Suite developments that can now access data via web services. In summary, there now exist a host of ways that researchers can bring IRIS DMC data directly into their workflows. MATLAB users can use irisFetch.m, command line users can use the various Fetch scripts, Java users can use the IRIS-WS library, and Python users may request data through ObsPy. To learn more about any of these clients see http://www.iris.edu/ws/wsclients/.

  1. IRIS Toxicological Review of Urea (External Review Draft) ...

    EPA Pesticide Factsheets

    EPA conducted a peer review and public comment of the scientific basis of a draft report supporting the human health hazard and dose-response assessment of Urea that when finalized will appear on the Integrated Risk Information System (IRIS) database. The draft Toxicological Review of Urea provides scientific support and rationale for the hazard and dose-response assessment pertaining to chronic exposure to Urea.

  2. IRIS Toxicological Review of 1,4-Dioxane (with Inhalation ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of 1,4-Dioxane (with inhalation update) that when finalized will appear on the Integrated Risk Information System (IRIS) database. 1,4-Dioxane is commonly used as a solvent, cleaning agent, chemical stabilizer, surface coating, adhesive agent, and an ingredient in chemical manufacture.

  3. IRIS Toxicological Review of Trichloroacetic Acid (TCA) ...

    EPA Pesticide Factsheets

    EPA is conducting a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of Trichloroacetic acid (TCA) that when finalized will appear on the Integrated Risk Information System (IRIS) database. The draft Toxicological Review of trichloroacetic acid provides scientific support and rationale for the hazard and dose-response assessment pertaining to chronic exposure to trichloroacetic acid.

  4. Vocabulary Questions on Informal Reading Inventories.

    ERIC Educational Resources Information Center

    Duffelmeyer, Fredrick A.; And Others

    1989-01-01

    Examines the utility of informal reading inventories (IRI) and acknowledges four limitations of the research. Indicates that no validity-enhancing measures were implemented in conjunction with the three IRIs analyzed. Suggests that IRI vocabulary questions do not appear to be useful. (MG)

  5. IRIS Product Recommendations

    NASA Technical Reports Server (NTRS)

    Short, David A.

    2000-01-01

    This report presents the Applied Meteorology Unit's (AMU) evaluation of SIGMET Inc.'s Integrated Radar Information System (IRIS) Product Generator and recommendations for products emphasizing lightning and microburst tools. The IRIS Product Generator processes radar reflectivity data from the Weather Surveillance Radar, model 74C (WSR-74C), located on Patrick Air Force Base. The IRIS System was upgraded from version 6.12 to version 7.05 in late December 1999. A statistical analysis of atmospheric temperature variability over the Cape Canaveral Air Force Station (CCAFS) Weather Station provided guidance for the configuration of radar products that provide information on the mixed-phase (liquid and ice) region of clouds, between 0 C and -20 C. Mixed-phase processes at these temperatures are physically linked to electrification and the genesis of severe weather within convectively generated clouds. Day-to-day variations in the atmospheric temperature profile are of sufficient magnitude to warrant periodic reconfiguration of radar products intended for the interpretation of lightning and microburst potential of convectively generated clouds. The AMU also examined the radar volume-scan strategy to determine the scales of vertical gaps within the altitude range of the 0 C to -20 C isotherms over the Kennedy Space Center (KSC)/CCAFS area. This report present's two objective strategies for designing volume scans and proposes a modified scan strategy that reduces the average vertical gap by 37% as a means for improving radar observations of cloud characteristics in the critical 0 C to -20 C layer. The AMU recommends a total of 18 products, including 11 products that require use of the IRIS programming language and the IRIS User Product Insert feature. Included is a cell trends product and display, modeled after the WSR-88D cell trends display in use by the National Weather Service.

  6. Chlordane (Technical)

    Integrated Risk Information System (IRIS)

    TOXICOLOGICAL REVIEW of CHLORDANE ( TECHNICAL ) ( CAS No . 12789 - 03 - 6 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) December 1997 U.S . Environmental Protection Agency Washington , DC TABLE OF CONTENTS Authors and Reviewers . . . . . . . . . . . . .

  7. Presentation Attack Detection for Iris Recognition System Using NIR Camera Sensor

    PubMed Central

    Nguyen, Dat Tien; Baek, Na Rae; Pham, Tuyen Danh; Park, Kang Ryoung

    2018-01-01

    Among biometric recognition systems such as fingerprint, finger-vein, or face, the iris recognition system has proven to be effective for achieving a high recognition accuracy and security level. However, several recent studies have indicated that an iris recognition system can be fooled by using presentation attack images that are recaptured using high-quality printed images or by contact lenses with printed iris patterns. As a result, this potential threat can reduce the security level of an iris recognition system. In this study, we propose a new presentation attack detection (PAD) method for an iris recognition system (iPAD) using a near infrared light (NIR) camera image. To detect presentation attack images, we first localized the iris region of the input iris image using circular edge detection (CED). Based on the result of iris localization, we extracted the image features using deep learning-based and handcrafted-based methods. The input iris images were then classified into real and presentation attack categories using support vector machines (SVM). Through extensive experiments with two public datasets, we show that our proposed method effectively solves the iris recognition presentation attack detection problem and produces detection accuracy superior to previous studies. PMID:29695113

  8. Presentation Attack Detection for Iris Recognition System Using NIR Camera Sensor.

    PubMed

    Nguyen, Dat Tien; Baek, Na Rae; Pham, Tuyen Danh; Park, Kang Ryoung

    2018-04-24

    Among biometric recognition systems such as fingerprint, finger-vein, or face, the iris recognition system has proven to be effective for achieving a high recognition accuracy and security level. However, several recent studies have indicated that an iris recognition system can be fooled by using presentation attack images that are recaptured using high-quality printed images or by contact lenses with printed iris patterns. As a result, this potential threat can reduce the security level of an iris recognition system. In this study, we propose a new presentation attack detection (PAD) method for an iris recognition system (iPAD) using a near infrared light (NIR) camera image. To detect presentation attack images, we first localized the iris region of the input iris image using circular edge detection (CED). Based on the result of iris localization, we extracted the image features using deep learning-based and handcrafted-based methods. The input iris images were then classified into real and presentation attack categories using support vector machines (SVM). Through extensive experiments with two public datasets, we show that our proposed method effectively solves the iris recognition presentation attack detection problem and produces detection accuracy superior to previous studies.

  9. Design method of ARM based embedded iris recognition system

    NASA Astrophysics Data System (ADS)

    Wang, Yuanbo; He, Yuqing; Hou, Yushi; Liu, Ting

    2008-03-01

    With the advantages of non-invasiveness, uniqueness, stability and low false recognition rate, iris recognition has been successfully applied in many fields. Up to now, most of the iris recognition systems are based on PC. However, a PC is not portable and it needs more power. In this paper, we proposed an embedded iris recognition system based on ARM. Considering the requirements of iris image acquisition and recognition algorithm, we analyzed the design method of the iris image acquisition module, designed the ARM processing module and its peripherals, studied the Linux platform and the recognition algorithm based on this platform, finally actualized the design method of ARM-based iris imaging and recognition system. Experimental results show that the ARM platform we used is fast enough to run the iris recognition algorithm, and the data stream can flow smoothly between the camera and the ARM chip based on the embedded Linux system. It's an effective method of using ARM to actualize portable embedded iris recognition system.

  10. Identification of Chemicals of Interest to the Department of Defense and U.S. Air Force Among the U.S. Environmental Protection Agency’s Integrated Risk Information System Chemicals that are Due for Reassessment of their Toxicity Values

    DTIC Science & Technology

    2010-03-16

    Exceeded at ERP Soil and Groundwater Sites 86 A-2a. Identification of IRIS Chemicals of Interest on the ATSDR CERCLA Priority List of Hazardous...the Number (Bold Font) of Air Force ERP Samples in Which They Were Detected 317 A-4d. Air Force ERP Soil Samples: IRIS Chemicals of Interest...Ranked by the Number (Bold Font) of Air Force ERP Soil Samples in Which They Were Detected 333 A-4e. Air Force ERP Groundwater Samples: IRIS Chemicals of

  11. Relationship of the Van Herick Grading System with Peripheral Iris Configuration and Level of Iris Insertion.

    PubMed

    Khan, Faisal Aziz; Niazi, Shafaq Pervez Khan; Khan, Assad Zaman

    2017-09-01

    To determine the relationship of the van Herick angle grading system with the level of iris insertion and peripheral iris configuration. Observational study. Eye department, Combined Military Hospital, Malir Cantt., Karachi, from May to October 2015. Sixty-five eyes of 65 patients were recruited. Anterior chamber depth at the temporal limbus was measured as a fraction of corneal section thickness using van Herick technique and graded on the standard 4-point scale of the van Herick grading system. Gonioscopy of the temporal quadrant was performed with a Posner 4 mirror goniolens and both the true level of iris insertion and peripheral iris configuration were recorded on a 4-point scale so as to equate with the van Herick 4-point grading system. Spearman's rho test was applied to determine the relationship of the van Herick grading system with level of iris root insertion and peripheral iris configuration. Amoderate positive correlation between van Herick grade and peripheral iris configuration was found which was statistically significant (rs=0.42, p < 0.001). Astatistically significant and moderate positive correlation was also detected between van Herick grade and the level of iris insertion (rs=0.45, p < 0.001). The van Herick grade has a moderately positive relationship with the peripheral iris configuration and true level of iris insertion.

  12. Hexachlorocyclopentadiene (HCCPD)

    Integrated Risk Information System (IRIS)

    EPA / 600 / R - 01 / 013 TOXICOLOGICAL REVIEW OF HEXACHLOROCYCLOPENTADIENE ( CAS No . 77 - 47 - 4 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) June 2001 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been reviewed

  13. Tetrachloroethylene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 08 / 011F February 2012 TOXICOLOGICAL REVIEW OF Tetrachloroethylene ( Perchloroethylene ) ( CAS No . 127 - 18 - 4 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) February 2012 U.S . Environmental Protection Agency Washington , DC ii DISCLAIMER T

  14. A gallery approach for off-angle iris recognition

    NASA Astrophysics Data System (ADS)

    Karakaya, Mahmut; Yoldash, Rashiduddin; Boehnen, Christopher

    2015-05-01

    It has been proven that hamming distance score between frontal and off-angle iris images of same eye differs in iris recognition system. The distinction of hamming distance score is caused by many factors such as image acquisition angle, occlusion, pupil dilation, and limbus effect. In this paper, we first study the effect of the angle variations between iris plane and the image acquisition systems. We present how hamming distance changes for different off-angle iris images even if they are coming from the same iris. We observe that increment in acquisition angle of compared iris images causes the increment in hamming distance. Second, we propose a new technique in off-angle iris recognition system that includes creating a gallery of different off-angle iris images (such as, 0, 10, 20, 30, 40, and 50 degrees) and comparing each probe image with these gallery images. We will show the accuracy of the gallery approach for off-angle iris recognition.

  15. IRIS TOXICOLOGICAL REVIEW AND SUMMARY ...

    EPA Pesticide Factsheets

    Trichloroacetic acid is a crystalline solid with sharp, pungent odor. It is used as a soil sterilizer; and as a laboratory intermediate or reagent in the synthesis of a variety of medicinal products and organic chemicals. Trichloroacetic acid is also used industrially as an etching and pickling agent for the surface treatment of metals and as a solvent in the plastics industry. Trichloroacetic acid can be formed as a combustion byproduct of organic compounds in the presence of chlorine. It is also formed as a disinfection byproduct during water chlorination. The existing IRIS entry was added to the IRIS data base between 1994 and 1996. No RfD was developed. The IRIS program is updating the IRIS assessment for Trichloroacetic Acid. This update will incorporate health effects information published since the last assessment was prepared as well as new risk assessment methods. The IRIS assessment for Trichloroacetic Acid will consist of a Toxicological Review and IRIS Summary. The Toxicological Review is a critical review of the physicochemical and toxicokinetic properties of the chemical and its toxicity in humans and experimental systems. The assessment will present reference value for noncancer effects of Trichloroacetic Acid (RfD) and a cancer assessment. The Toxicological Review and IRIS Summary will be subject to internal peer consultation, Agency review and external scientific peer review. The final products will constitute the Agency's opinion on the

  16. 76 FR 69736 - Draft Toxicological Review of Vanadium Pentoxide: In Support of Summary Information on the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-09

    ... Toxicological Review of Vanadium Pentoxide: In Support of Summary Information on the Integrated Risk Information..., ``Toxicological Review of Vanadium Pentoxide: In Support of Summary Information on the Integrated Risk Information... Vanadium Pentoxide: In Support of Summary Information on the Integrated Risk Information System (IRIS)'' is...

  17. IRIS TOXICOLOGICAL REVIEW AND SUMMARY DOCUMENTS FOR BERYLLIUM AND COMPOUNDS

    EPA Science Inventory

    EPA's assessment of the noncancer health effects and carcinogenic potential of Beryllium was added to the IRIS database in 1998. The IRIS program is updating the IRIS assessment for Beryllium. This update will incorporate health effects information published since the last assess...

  18. Benzene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 02 / 001F TOXICOLOGICAL REVIEW OF BENZENE ( NONCANCER EFFECTS ) ( CAS No . 71 - 43 - 2 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) October 2002 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been

  19. Chromium(VI)

    Integrated Risk Information System (IRIS)

    TOXICOLOGICAL REVIEW OF HEXAVALENT CHROMIUM ( CAS No . 18540 - 29 - 9 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) August 1998 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been reviewed in accordance with U.S . Env

  20. Bromate

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 01 / 002 TOXICOLOGICAL REVIEW OF BROMATE ( CAS No . 15541 - 45 - 4 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) March 2001 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been reviewed in accordance

  1. Toluene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 05 / 004 TOXICOLOGICAL REVIEW OF TOLUENE ( CAS No . 108 - 88 - 3 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2005 U.S . Environmental Protection Agency W ashington D.C . DISCLAIMER This docum ent has been review

  2. IRIS Toxicological Review of tert-Butyl Alcohol (tert-Butanol) ...

    EPA Pesticide Factsheets

    In August 2013, EPA released the draft literature searches and associated search strategies, evidence tables, and exposure response arrays for TBA to obtain input from stakeholders and the public prior to developing the draft IRIS assessment. Specifically, EPA was interested in comments on the following: Draft literature search strategies The approach for identifying studies The screening process for selecting pertinent studies The resulting list of pertinent studies Preliminary evidence tables The process for selecting studies to include in evidence tables The quality of the studies in the evidence tables The literature search strategy, which describes the processes for identifying scientific literature, contains the studies that EPA considered and selected to include in the evidence tables. The preliminary evidence tables and exposure-response arrays present the key study data in a standardized format. The evidence tables summarize the available critical scientific literature. The exposure-response figures provide a graphical representation of the responses at different levels of exposure for each study in the evidence table. EPA is undertaking a new health assessment for t-butyl alcohol (TBA) for the Integrated Risk Information System (IRIS). The outcome of this project will be a Toxicological Review and IRIS and IRIS Summary of TBA that will be entered on the IRIS database. IRIS is an EPA da

  3. Developing Federated Services within Seismology: IRIS' involvement in the CoopEUS Project

    NASA Astrophysics Data System (ADS)

    Ahern, T. K.; Trabant, C. M.; Stults, M.

    2014-12-01

    As a founding member of the CoopEUS initiative, IRIS Data Services has partnered with five data centers in Europe and the UC Berkeley (NCEDC) in the US to implement internationally standardized web services to access seismological data using identical methodologies. The International Federation of Digital Seismograph Networks (FDSN) holds commission status within IASPEI/IUGG and as such is the international body that governs data exchange formats and access protocols within seismology. The CoopEUS project involves IRIS and UNAVCO as part of the EarthScope project and the European collaborators are all members of the European Plate Observing System (EPOS). CoopEUS includes one work package that attempts to coordinate data access between EarthScope and EPOS facilities. IRIS has worked with its partners in the FDSN to develop and adopt three key international service standards within seismology. These include 1) fdsn-dataselect, a service that returns time series data in a variety of standard formats, 2) fdsn-station, a service that returns related metadata about a seismic station in stationXML format, and 3) fdsn-event, a service that returns information about earthquakes and other seismic events in QuakeML format. Currently the 5 European data centers supporting these services include the ORFEUS Data Centre in the Netherlands, the GFZ German Research Centre for Geosciences in Potsdam, Germany, ETH Zurich in Switzerland, INGV in Rome, Italy, and the RESIF Data Centre in Grenoble France. Presently these seven centres can all be accessed using standardized web services with identical service calls and returns results in standardized ways. IRIS is developing an IRIS federator that will allow a client to seamlessly access information across the federated centers. Details and current status of the IRIS Federator will be presented.

  4. IRIS TOXICOLOGICAL REVIEW AND SUMMARY DOCUMENTS FOR 1,2,3-TRICHLOROPROPANE

    EPA Science Inventory

    EPA's assessment of the noncancer health effects and carcinogenic potential of 1,2,3-trichloropropane (TCP) was added to the IRIS database in 1990. The IRIS program is updating the IRIS assessment for TCP. This update will incorporate health effects information published since t...

  5. An Overview of the Toxicity of Naphthalene, EDB and Ethanol

    EPA Science Inventory

    This presentation is a short summary of information on the toxicity and carcinogenicity of naphthalene and 1,2-dibromoethane (EDB) that is available in the EPA Integrated Risk Information System (IRIS) and information on the toxicity of ethanol available from the Health, Environm...

  6. On techniques for angle compensation in nonideal iris recognition.

    PubMed

    Schuckers, Stephanie A C; Schmid, Natalia A; Abhyankar, Aditya; Dorairaj, Vivekanand; Boyce, Christopher K; Hornak, Lawrence A

    2007-10-01

    The popularity of the iris biometric has grown considerably over the past two to three years. Most research has been focused on the development of new iris processing and recognition algorithms for frontal view iris images. However, a few challenging directions in iris research have been identified, including processing of a nonideal iris and iris at a distance. In this paper, we describe two nonideal iris recognition systems and analyze their performance. The word "nonideal" is used in the sense of compensating for off-angle occluded iris images. The system is designed to process nonideal iris images in two steps: 1) compensation for off-angle gaze direction and 2) processing and encoding of the rotated iris image. Two approaches are presented to account for angular variations in the iris images. In the first approach, we use Daugman's integrodifferential operator as an objective function to estimate the gaze direction. After the angle is estimated, the off-angle iris image undergoes geometric transformations involving the estimated angle and is further processed as if it were a frontal view image. The encoding technique developed for a frontal image is based on the application of the global independent component analysis. The second approach uses an angular deformation calibration model. The angular deformations are modeled, and calibration parameters are calculated. The proposed method consists of a closed-form solution, followed by an iterative optimization procedure. The images are projected on the plane closest to the base calibrated plane. Biorthogonal wavelets are used for encoding to perform iris recognition. We use a special dataset of the off-angle iris images to quantify the performance of the designed systems. A series of receiver operating characteristics demonstrate various effects on the performance of the nonideal-iris-based recognition system.

  7. Acrolein

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 03 / 003 TOXICOLOGICAL REVIEW OF ACROLEIN ( CAS No . 107 - 02 - 8 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) May 2003 US Environmental Protection Agency Washington , DC DISCLAIMER This document has been reviewed in accordance with U.S . Env

  8. Vinyl chloride

    Integrated Risk Information System (IRIS)

    EPA / 635R - 00 / 004 TOXICOLOGICAL REVIEW OF VINYL CHLORIDE ( CAS No . 75 - 01 - 4 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) May 2000 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been reviewed in accordance w

  9. Phenol

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 02 / 006 TOXICOLOGICAL REVIEW OF Phenol ( CAS No . 108 - 95 - 2 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) September 2002 U.S . Environmental Protection Agency Washington D.C . DISCLAIMER Mention of trade names or commercial products does n

  10. Request for Correction 11001 Toxicological Review of Halogenated Platinum Salts and Platinum Compounds

    EPA Pesticide Factsheets

    Request for Correction by the International Platinum Group Metals Association seeking the correction of information disseminated in the draft EPA document Toxicological Review of Halogenated Platinum Salts and Platinum Compounds: In Support of Summary Information on the Integrated Risk Information System (IRIS).

  11. Iris indexing based on local intensity order pattern

    NASA Astrophysics Data System (ADS)

    Emerich, Simina; Malutan, Raul; Crisan, Septimiu; Lefkovits, Laszlo

    2017-03-01

    In recent years, iris biometric systems have increased in popularity and have been proven that are capable of handling large-scale databases. The main advantage of these systems is accuracy and reliability. A proper iris patterns classification is expected to reduce the matching time in huge databases. This paper presents an iris indexing technique based on Local Intensity Order Pattern. The performance of the present approach is evaluated on UPOL database and is compared with other recent systems designed for iris indexing. The results illustrate the potential of the proposed method for large scale iris identification.

  12. Feature and Score Fusion Based Multiple Classifier Selection for Iris Recognition

    PubMed Central

    Islam, Md. Rabiul

    2014-01-01

    The aim of this work is to propose a new feature and score fusion based iris recognition approach where voting method on Multiple Classifier Selection technique has been applied. Four Discrete Hidden Markov Model classifiers output, that is, left iris based unimodal system, right iris based unimodal system, left-right iris feature fusion based multimodal system, and left-right iris likelihood ratio score fusion based multimodal system, is combined using voting method to achieve the final recognition result. CASIA-IrisV4 database has been used to measure the performance of the proposed system with various dimensions. Experimental results show the versatility of the proposed system of four different classifiers with various dimensions. Finally, recognition accuracy of the proposed system has been compared with existing N hamming distance score fusion approach proposed by Ma et al., log-likelihood ratio score fusion approach proposed by Schmid et al., and single level feature fusion approach proposed by Hollingsworth et al. PMID:25114676

  13. Feature and score fusion based multiple classifier selection for iris recognition.

    PubMed

    Islam, Md Rabiul

    2014-01-01

    The aim of this work is to propose a new feature and score fusion based iris recognition approach where voting method on Multiple Classifier Selection technique has been applied. Four Discrete Hidden Markov Model classifiers output, that is, left iris based unimodal system, right iris based unimodal system, left-right iris feature fusion based multimodal system, and left-right iris likelihood ratio score fusion based multimodal system, is combined using voting method to achieve the final recognition result. CASIA-IrisV4 database has been used to measure the performance of the proposed system with various dimensions. Experimental results show the versatility of the proposed system of four different classifiers with various dimensions. Finally, recognition accuracy of the proposed system has been compared with existing N hamming distance score fusion approach proposed by Ma et al., log-likelihood ratio score fusion approach proposed by Schmid et al., and single level feature fusion approach proposed by Hollingsworth et al.

  14. Seismological Data Stewardship at the IRIS DMC: The Role of a Dedicated Data Management System for Seismology

    NASA Astrophysics Data System (ADS)

    Benson, R. B.; Ahern, T. K.; Trabant, C.; Casey, R.

    2011-12-01

    Since the founding of the Incorporated Research Institutions for Seismology (IRIS) in 1984, there has been a core program for data management, quite unique at the time, dedicated solely to ensuring that data recorded by IRIS and it's partners had a perpetual data management framework that ensures data will be searchable, well-documented, and preserved so that future generations can, at it's core, have an accurate history of ground motion recordings. This goal is manifest in the IRIS Data Management System, or DMS. The mission of this NSF-EAR facility is "To provide reliable and efficient access to high quality seismological and related geophysical data, generated by IRIS and its domestic and international partners, and to enable all parties interested in using these data to do so in a straightforward and efficient manner". This presentation will focus on the data management business rules that capture the data life-cycle of 3 different segments of seismological and related geophysical data managed by IRIS: - Images and parametric information of historical analog data, - Non-real time quality-controlled digital data, - Real time data that streams into the DMC through a number of different protocols. We will describe how data collection, curation, and distribution to users are cataloged to provide an accurate provenance log of contributed data, which are passed along to both the consumer and network data provider. In addition, we will discuss the need and business rules that apply to metadata and how it is managed.

  15. IRIS Assessment Plan for Ammonia and Ammonium Salts Noncancer Oral (Scoping and Problem Formulation Materials)

    EPA Science Inventory

    In April 2018, EPA released the draft IRIS Assessment Plan for Ammonia and Ammonium Salts Noncancer Oral. An IRIS Assessment Plan (IAP) communicates to the public the plan for assessing each individual chemical and includes summary information on the IRIS Program’s sco...

  16. 1,3-Dichloropropene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 00 / 001 TOXICOLOGICAL REVIEW OF 1,3 - DICHLOROPROPENE ( CAS No . 542 - 75 - 6 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) May 2000 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been reviewed in a

  17. Beryllium and compounds

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 98 / 008 TOXICOLOGICAL REVIEW OF BERYLLIUM AND COMPOUNDS ( CAS No . 7440 - 41 - 7 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) April 1998 U.S . Environmental Protection Agency Washington , DC DISCLAIMER This document has been reviewed in ac

  18. Human iris three-dimensional imaging at micron resolution by a micro-plenoptic camera

    PubMed Central

    Chen, Hao; Woodward, Maria A.; Burke, David T.; Jeganathan, V. Swetha E.; Demirci, Hakan; Sick, Volker

    2017-01-01

    A micro-plenoptic system was designed to capture the three-dimensional (3D) topography of the anterior iris surface by simple single-shot imaging. Within a depth-of-field of 2.4 mm, depth resolution of 10 µm can be achieved with accuracy (systematic errors) and precision (random errors) below 20%. We demonstrated the application of our micro-plenoptic imaging system on two healthy irides, an iris with naevi, and an iris with melanoma. The ridges and folds, with height differences of 10~80 µm, on the healthy irides can be effectively captured. The front surface on the iris naevi was flat, and the iris melanoma was 50 ± 10 µm higher than the surrounding iris. The micro-plenoptic imaging system has great potential to be utilized for iris disease diagnosis and continuing, simple monitoring. PMID:29082081

  19. Human iris three-dimensional imaging at micron resolution by a micro-plenoptic camera.

    PubMed

    Chen, Hao; Woodward, Maria A; Burke, David T; Jeganathan, V Swetha E; Demirci, Hakan; Sick, Volker

    2017-10-01

    A micro-plenoptic system was designed to capture the three-dimensional (3D) topography of the anterior iris surface by simple single-shot imaging. Within a depth-of-field of 2.4 mm, depth resolution of 10 µm can be achieved with accuracy (systematic errors) and precision (random errors) below 20%. We demonstrated the application of our micro-plenoptic imaging system on two healthy irides, an iris with naevi, and an iris with melanoma. The ridges and folds, with height differences of 10~80 µm, on the healthy irides can be effectively captured. The front surface on the iris naevi was flat, and the iris melanoma was 50 ± 10 µm higher than the surrounding iris. The micro-plenoptic imaging system has great potential to be utilized for iris disease diagnosis and continuing, simple monitoring.

  20. Hyperspectral optical imaging of human iris in vivo: characteristics of reflectance spectra

    NASA Astrophysics Data System (ADS)

    Medina, José M.; Pereira, Luís M.; Correia, Hélder T.; Nascimento, Sérgio M. C.

    2011-07-01

    We report a hyperspectral imaging system to measure the reflectance spectra of real human irises with high spatial resolution. A set of ocular prosthesis was used as the control condition. Reflectance data were decorrelated by the principal-component analysis. The main conclusion is that spectral complexity of the human iris is considerable: between 9 and 11 principal components are necessary to account for 99% of the cumulative variance in human irises. Correcting image misalignments associated with spontaneous ocular movements did not influence this result. The data also suggests a correlation between the first principal component and different levels of melanin present in the irises. It was also found that although the spectral characteristics of the first five principal components were not affected by the radial and angular position of the selected iridal areas, they affect the higher-order ones, suggesting a possible influence of the iris texture. The results show that hyperspectral imaging in the iris, together with adequate spectroscopic analyses provide more information than conventional colorimetric methods, making hyperspectral imaging suitable for the characterization of melanin and the noninvasive diagnosis of ocular diseases and iris color.

  1. An effective approach for iris recognition using phase-based image matching.

    PubMed

    Miyazawa, Kazuyuki; Ito, Koichi; Aoki, Takafumi; Kobayashi, Koji; Nakajima, Hiroshi

    2008-10-01

    This paper presents an efficient algorithm for iris recognition using phase-based image matching--an image matching technique using phase components in 2D Discrete Fourier Transforms (DFTs) of given images. Experimental evaluation using CASIA iris image databases (versions 1.0 and 2.0) and Iris Challenge Evaluation (ICE) 2005 database clearly demonstrates that the use of phase components of iris images makes possible to achieve highly accurate iris recognition with a simple matching algorithm. This paper also discusses major implementation issues of our algorithm. In order to reduce the size of iris data and to prevent the visibility of iris images, we introduce the idea of 2D Fourier Phase Code (FPC) for representing iris information. The 2D FPC is particularly useful for implementing compact iris recognition devices using state-of-the-art Digital Signal Processing (DSP) technology.

  2. 75 FR 76982 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-10

    ... quantitative and qualitative risk information on effects that may result from exposure to specific chemical...), Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC 20460; telephone... human health assessment program that evaluates quantitative and qualitative risk information on effects...

  3. 77 FR 20817 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-06

    ... quantitative and qualitative risk information on effects that may result from exposure to specific chemical... Deputy Director, National Center for Environmental Assessment, (mail code: 8601D), Office of Research and... program that evaluates quantitative and qualitative risk information on effects that may result from...

  4. 77 FR 41784 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-16

    ... health assessment program that evaluates quantitative and qualitative risk information on effects that..., National Center for Environmental Assessment, (mail code: 8601P), Office of Research and Development, U.S... quantitative and qualitative risk information on effects that may result from exposure to specific chemical...

  5. IRIS Toxicological Review of 1,2,3-Trichloropropane (External ...

    EPA Pesticide Factsheets

    EPA conducted a peer review of the scientific basis supporting the human health hazard and dose-response assessment of 1,2,3-trichloropropane (TCP) that once finalized will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that science is used credibly and appropriately in derivation of the dose-response assessments and toxicological characterization. This Tox Review provides scientific support and rationale for the hazard and dose-response assessment pertaining to chronic exposure to 1,2,3-trichloropropane.

  6. Iris texture traits show associations with iris color and genomic ancestry.

    PubMed

    Quillen, Ellen E; Guiltinan, Jenna S; Beleza, Sandra; Rocha, Jorge; Pereira, Rinaldo W; Shriver, Mark D

    2011-01-01

    This study seeks to identify associations among genomic biogeographic ancestry (BGA), quantitative iris color, and iris texture traits contributing to population-level variation in these phenotypes. DNA and iris photographs were collected from 300 individuals across three variably admixed populations (Portugal, Brazil, and Cape Verde). Two raters scored the photos for pigmentation spots, Fuchs' crypts, contraction furrows, and Wolflinn nodes. Iris color was quantified from RGB values. Maximum likelihood estimates of individual BGA were calculated from 176 ancestry informative markers. Pigmentation spots, Fuchs' crypts, contraction furrows, and iris color show significant positive correlation with increasing European BGA. Only contraction furrows are correlated with iris color. The relationship between BGA and iris texture illustrates a genetic contribution to this population-level variation. Copyright © 2011 Wiley-Liss, Inc.

  7. Methylene Diphenyl Diisocyanate (monomeric MDI) and polymeric MDI (PMDI)

    Integrated Risk Information System (IRIS)

    TOXICOLOGICAL REVIEW of METHYLENE DIPHENYL DIISOCYANATE ( MDI ) ( CAS No . 101 - 68 - 8 and 9016 - 87 - 9 ) In Support of Summary Information on the Integrated Risk Information System ( IRIS ) February 1998 U.S . ENVIRONMENTAL PROTECTION AGENCY WASHINGTON , DC TABLE OF CONTENTS TOXICOLOGICAL REV

  8. The fast iris image clarity evaluation based on Tenengrad and ROI selection

    NASA Astrophysics Data System (ADS)

    Gao, Shuqin; Han, Min; Cheng, Xu

    2018-04-01

    In iris recognition system, the clarity of iris image is an important factor that influences recognition effect. In the process of recognition, the blurred image may possibly be rejected by the automatic iris recognition system, which will lead to the failure of identification. Therefore it is necessary to evaluate the iris image definition before recognition. Considered the existing evaluation methods on iris image definition, we proposed a fast algorithm to evaluate the definition of iris image in this paper. In our algorithm, firstly ROI (Region of Interest) is extracted based on the reference point which is determined by using the feature of the light spots within the pupil, then Tenengrad operator is used to evaluate the iris image's definition. Experiment results show that, the iris image definition algorithm proposed in this paper could accurately distinguish the iris images of different clarity, and the algorithm has the merit of low computational complexity and more effectiveness.

  9. Quantitative study of the microvasculature and its endothelial cells in the porcine iris.

    PubMed

    Yang, Hongfang; Yu, Paula K; Cringle, Stephen J; Sun, Xinghuai; Yu, Dao-Yi

    2015-03-01

    The roles of the iris microvasculature have been increasingly recognised in the pathogenesis of glaucoma and cataract; however limited information exists regarding the iris microvasculature and its endothelium. This study quantitatively assessed the iris microvascular network and its endothelium using intra-luminal micro-perfusion, fixation, and staining of the porcine iris. The temporal long posterior ciliary artery of 11 isolated porcine eyes was cannulated, perfusion-fixed and labelled using silver nitrate. The iris microvasculature was studied for its distribution, orders and endothelial morphometrics. The density of three layers of microvasculature was measured. Endothelial cell length and width were measured for each vessel order. The iris has an unusual vascular distribution which consisted of abundant large vessels in the middle of the iris stroma, branching over a relatively short distance to the microvasculature located in the superficial and deep stroma as well as the pupil edge. The average vascular density of the middle, superficial, and deep layers were 38.9 ± 1.93%, 10.9 ± 1.61% and 8.0 ± 0.79% respectively. Multiple orders of iris vessels (capillary, 6 orders of arteries, and 4 orders of veins) with relatively large capillary and input arteries (319.5 ± 25.6 μm) were found. Significant heterogeneity of vascular diameter and shape of the endothelia was revealed in different orders of the iris vasculature. Detailed information of topography and endothelium of the iris microvasculature combined with unique structural features of the iris may help us to further understand the physiological and pathogenic roles of the iris in relevant ocular diseases. Copyright © 2015 Elsevier Ltd. All rights reserved.

  10. Iris recognition in the presence of ocular disease

    PubMed Central

    Aslam, Tariq Mehmood; Tan, Shi Zhuan; Dhillon, Baljean

    2009-01-01

    Iris recognition systems are among the most accurate of all biometric technologies with immense potential for use in worldwide security applications. This study examined the effect of eye pathology on iris recognition and in particular whether eye disease could cause iris recognition systems to fail. The experiment involved a prospective cohort of 54 patients with anterior segment eye disease who were seen at the acute referral unit of the Princess Alexandra Eye Pavilion in Edinburgh. Iris camera images were obtained from patients before treatment was commenced and again at follow-up appointments after treatment had been given. The principal outcome measure was that of mathematical difference in the iris recognition templates obtained from patients' eyes before and after treatment of the eye disease. Results showed that the performance of iris recognition was remarkably resilient to most ophthalmic disease states, including corneal oedema, iridotomies (laser puncture of iris) and conjunctivitis. Problems were, however, encountered in some patients with acute inflammation of the iris (iritis/anterior uveitis). The effects of a subject developing anterior uveitis may cause current recognition systems to fail. Those developing and deploying iris recognition should be aware of the potential problems that this could cause to this key biometric technology. PMID:19324690

  11. Iris recognition in the presence of ocular disease.

    PubMed

    Aslam, Tariq Mehmood; Tan, Shi Zhuan; Dhillon, Baljean

    2009-05-06

    Iris recognition systems are among the most accurate of all biometric technologies with immense potential for use in worldwide security applications. This study examined the effect of eye pathology on iris recognition and in particular whether eye disease could cause iris recognition systems to fail. The experiment involved a prospective cohort of 54 patients with anterior segment eye disease who were seen at the acute referral unit of the Princess Alexandra Eye Pavilion in Edinburgh. Iris camera images were obtained from patients before treatment was commenced and again at follow-up appointments after treatment had been given. The principal outcome measure was that of mathematical difference in the iris recognition templates obtained from patients' eyes before and after treatment of the eye disease. Results showed that the performance of iris recognition was remarkably resilient to most ophthalmic disease states, including corneal oedema, iridotomies (laser puncture of iris) and conjunctivitis. Problems were, however, encountered in some patients with acute inflammation of the iris (iritis/anterior uveitis). The effects of a subject developing anterior uveitis may cause current recognition systems to fail. Those developing and deploying iris recognition should be aware of the potential problems that this could cause to this key biometric technology.

  12. Toward More Accurate Iris Recognition Using Cross-Spectral Matching.

    PubMed

    Nalla, Pattabhi Ramaiah; Kumar, Ajay

    2017-01-01

    Iris recognition systems are increasingly deployed for large-scale applications such as national ID programs, which continue to acquire millions of iris images to establish identity among billions. However, with the availability of variety of iris sensors that are deployed for the iris imaging under different illumination/environment, significant performance degradation is expected while matching such iris images acquired under two different domains (either sensor-specific or wavelength-specific). This paper develops a domain adaptation framework to address this problem and introduces a new algorithm using Markov random fields model to significantly improve cross-domain iris recognition. The proposed domain adaptation framework based on the naive Bayes nearest neighbor classification uses a real-valued feature representation, which is capable of learning domain knowledge. Our approach to estimate corresponding visible iris patterns from the synthesis of iris patches in the near infrared iris images achieves outperforming results for the cross-spectral iris recognition. In this paper, a new class of bi-spectral iris recognition system that can simultaneously acquire visible and near infra-red images with pixel-to-pixel correspondences is proposed and evaluated. This paper presents experimental results from three publicly available databases; PolyU cross-spectral iris image database, IIITD CLI and UND database, and achieve outperforming results for the cross-sensor and cross-spectral iris matching.

  13. Biometric identification based on feature fusion with PCA and SVM

    NASA Astrophysics Data System (ADS)

    Lefkovits, László; Lefkovits, Szidónia; Emerich, Simina

    2018-04-01

    Biometric identification is gaining ground compared to traditional identification methods. Many biometric measurements may be used for secure human identification. The most reliable among them is the iris pattern because of its uniqueness, stability, unforgeability and inalterability over time. The approach presented in this paper is a fusion of different feature descriptor methods such as HOG, LIOP, LBP, used for extracting iris texture information. The classifiers obtained through the SVM and PCA methods demonstrate the effectiveness of our system applied to one and both irises. The performances measured are highly accurate and foreshadow a fusion system with a rate of identification approaching 100% on the UPOL database.

  14. National Research Council Experts – October 2014

    EPA Pesticide Factsheets

    Today, EPA announced that the Integrated Risk Information System (IRIS) Program’s Bimonthly Public Science meetings will be supplemented with independent scientific experts identified by the National Academies’ National Research Council (NRC).

  15. Iris unwrapping using the Bresenham circle algorithm for real-time iris recognition

    NASA Astrophysics Data System (ADS)

    Carothers, Matthew T.; Ngo, Hau T.; Rakvic, Ryan N.; Broussard, Randy P.

    2015-02-01

    An efficient parallel architecture design for the iris unwrapping process in a real-time iris recognition system using the Bresenham Circle Algorithm is presented in this paper. Based on the characteristics of the model parameters this algorithm was chosen over the widely used polar conversion technique as the iris unwrapping model. The architecture design is parallelized to increase the throughput of the system and is suitable for processing an inputted image size of 320 × 240 pixels in real-time using Field Programmable Gate Array (FPGA) technology. Quartus software is used to implement, verify, and analyze the design's performance using the VHSIC Hardware Description Language. The system's predicted processing time is faster than the modern iris unwrapping technique used today∗.

  16. Evaluation of a University Online Information Literacy Unit

    ERIC Educational Resources Information Center

    Crawford, Nicole; Broertjes, Andrew

    2010-01-01

    Arts IRIS (Introductory Research and Information Skills) is a compulsory online information literacy unit for commencing students in the Faculty of Arts, Humanities and Social Sciences at The University of Western Australia (UWA). The aim of Arts IRIS is to provide students with a foundation in research and information literacy skills for studying…

  17. The IRIS-GUS Shuttle Borne Upper Stage System

    NASA Technical Reports Server (NTRS)

    Tooley, Craig; Houghton, Martin; Bussolino, Luigi; Connors, Paul; Broudeur, Steve (Technical Monitor)

    2002-01-01

    This paper describes the Italian Research Interim Stage - Gyroscopic Upper Stage (IRIS-GUS) upper stage system that will be used to launch NASA's Triana Observatory from the Space Shuttle. Triana is a pathfinder earth science mission being executed on rapid schedule and small budget, therefore the mission's upper stage solution had to be a system that could be fielded quickly at relatively low cost and risk. The building of the IRIS-GUS system wa necessary because NASA lost the capability to launch moderately sized upper stage missions fro the Space Shuttle when the PAM-D system was retired. The IRIS-GUS system restores this capability. The resulting system is a hybrid which mates the existing, flight proven IRIS (Italian Research Interim Stage) airborne support equipment to a new upper stage, the Gyroscopic Upper Stage (GUS) built by the GSFC for Triana. Although a new system, the GUS exploits flight proven hardware and design approaches in most subsystems, in some cases implementing proven design approaches with state-of-the-art electronics. This paper describes the IRIS-GUS upper stage system elements, performance capabilities, and payload interfaces.

  18. Improved Iris Recognition through Fusion of Hamming Distance and Fragile Bit Distance.

    PubMed

    Hollingsworth, Karen P; Bowyer, Kevin W; Flynn, Patrick J

    2011-12-01

    The most common iris biometric algorithm represents the texture of an iris using a binary iris code. Not all bits in an iris code are equally consistent. A bit is deemed fragile if its value changes across iris codes created from different images of the same iris. Previous research has shown that iris recognition performance can be improved by masking these fragile bits. Rather than ignoring fragile bits completely, we consider what beneficial information can be obtained from the fragile bits. We find that the locations of fragile bits tend to be consistent across different iris codes of the same eye. We present a metric, called the fragile bit distance, which quantitatively measures the coincidence of the fragile bit patterns in two iris codes. We find that score fusion of fragile bit distance and Hamming distance works better for recognition than Hamming distance alone. To our knowledge, this is the first and only work to use the coincidence of fragile bit locations to improve the accuracy of matches.

  19. IRIS Toxicological Review of Acrylamide (External Review ...

    EPA Pesticide Factsheets

    EPA has conducted a peer review by EPA’s Science Advisory Board (SAB) of the scientific basis supporting the human health hazard and dose-response assessment of acrylamide that once finalized will appear on the Integrated Risk Information System (IRIS) database. Peer review is meant to ensure that the science is used credibly and appropriately in derivation of the dose-response assessments and toxicological characterization. The draft Toxicological Review of Acrylamide provides scientific support and rationale for the hazard identification and dose-response assessment pertaining to a chronic exposure to acrylamide.

  20. Exploring the feasibility of iris recognition for visible spectrum iris images obtained using smartphone camera

    NASA Astrophysics Data System (ADS)

    Trokielewicz, Mateusz; Bartuzi, Ewelina; Michowska, Katarzyna; Andrzejewska, Antonina; Selegrat, Monika

    2015-09-01

    In the age of modern, hyperconnected society that increasingly relies on mobile devices and solutions, implementing a reliable and accurate biometric system employing iris recognition presents new challenges. Typical biometric systems employing iris analysis require expensive and complicated hardware. We therefore explore an alternative way using visible spectrum iris imaging. This paper aims at answering several questions related to applying iris biometrics for images obtained in the visible spectrum using smartphone camera. Can irides be successfully and effortlessly imaged using a smartphone's built-in camera? Can existing iris recognition methods perform well when presented with such images? The main advantage of using near-infrared (NIR) illumination in dedicated iris recognition cameras is good performance almost independent of the iris color and pigmentation. Are the images obtained from smartphone's camera of sufficient quality even for the dark irides? We present experiments incorporating simple image preprocessing to find the best visibility of iris texture, followed by a performance study to assess whether iris recognition methods originally aimed at NIR iris images perform well with visible light images. To our best knowledge this is the first comprehensive analysis of iris recognition performance using a database of high-quality images collected in visible light using the smartphones flashlight together with the application of commercial off-the-shelf (COTS) iris recognition methods.

  1. Ammonia

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 16 / 163Fa www.epa.gov / iris Toxicological Review of Ammonia Noncancer Inhalation [ CASRN 7664 - 41 - 7 ] September 2016 Integrated Risk Information System National Center for Environmental Assessment Office of Research and Development U.S . Environmental Protection Agency Washingto

  2. Systematic Review of Chloroprene

    EPA Science Inventory

    This document was developed in support of EPA's response to Request for Correction (RFC) #17002: Integrated Risk Information System; Toxicological Review of Chloroprene. The document describes the IRIS Program's evaluation of the literature published after the 2010 finalization o...

  3. Multiple local feature representations and their fusion based on an SVR model for iris recognition using optimized Gabor filters

    NASA Astrophysics Data System (ADS)

    He, Fei; Liu, Yuanning; Zhu, Xiaodong; Huang, Chun; Han, Ye; Dong, Hongxing

    2014-12-01

    Gabor descriptors have been widely used in iris texture representations. However, fixed basic Gabor functions cannot match the changing nature of diverse iris datasets. Furthermore, a single form of iris feature cannot overcome difficulties in iris recognition, such as illumination variations, environmental conditions, and device variations. This paper provides multiple local feature representations and their fusion scheme based on a support vector regression (SVR) model for iris recognition using optimized Gabor filters. In our iris system, a particle swarm optimization (PSO)- and a Boolean particle swarm optimization (BPSO)-based algorithm is proposed to provide suitable Gabor filters for each involved test dataset without predefinition or manual modulation. Several comparative experiments on JLUBR-IRIS, CASIA-I, and CASIA-V4-Interval iris datasets are conducted, and the results show that our work can generate improved local Gabor features by using optimized Gabor filters for each dataset. In addition, our SVR fusion strategy may make full use of their discriminative ability to improve accuracy and reliability. Other comparative experiments show that our approach may outperform other popular iris systems.

  4. IRIS COLOUR CLASSIFICATION SCALES – THEN AND NOW

    PubMed Central

    Grigore, Mariana; Avram, Alina

    2015-01-01

    Eye colour is one of the most obvious phenotypic traits of an individual. Since the first documented classification scale developed in 1843, there have been numerous attempts to classify the iris colour. In the past centuries, iris colour classification scales has had various colour categories and mostly relied on comparison of an individual’s eye with painted glass eyes. Once photography techniques were refined, standard iris photographs replaced painted eyes, but this did not solve the problem of painted/ printed colour variability in time. Early clinical scales were easy to use, but lacked objectivity and were not standardised or statistically tested for reproducibility. The era of automated iris colour classification systems came with the technological development. Spectrophotometry, digital analysis of high-resolution iris images, hyper spectral analysis of the human real iris and the dedicated iris colour analysis software, all accomplished an objective, accurate iris colour classification, but are quite expensive and limited in use to research environment. Iris colour classification systems evolved continuously due to their use in a wide range of studies, especially in the fields of anthropology, epidemiology and genetics. Despite the wide range of the existing scales, up until present there has been no generally accepted iris colour classification scale. PMID:27373112

  5. IRIS COLOUR CLASSIFICATION SCALES--THEN AND NOW.

    PubMed

    Grigore, Mariana; Avram, Alina

    2015-01-01

    Eye colour is one of the most obvious phenotypic traits of an individual. Since the first documented classification scale developed in 1843, there have been numerous attempts to classify the iris colour. In the past centuries, iris colour classification scales has had various colour categories and mostly relied on comparison of an individual's eye with painted glass eyes. Once photography techniques were refined, standard iris photographs replaced painted eyes, but this did not solve the problem of painted/ printed colour variability in time. Early clinical scales were easy to use, but lacked objectivity and were not standardised or statistically tested for reproducibility. The era of automated iris colour classification systems came with the technological development. Spectrophotometry, digital analysis of high-resolution iris images, hyper spectral analysis of the human real iris and the dedicated iris colour analysis software, all accomplished an objective, accurate iris colour classification, but are quite expensive and limited in use to research environment. Iris colour classification systems evolved continuously due to their use in a wide range of studies, especially in the fields of anthropology, epidemiology and genetics. Despite the wide range of the existing scales, up until present there has been no generally accepted iris colour classification scale.

  6. Noisy Ocular Recognition Based on Three Convolutional Neural Networks.

    PubMed

    Lee, Min Beom; Hong, Hyung Gil; Park, Kang Ryoung

    2017-12-17

    In recent years, the iris recognition system has been gaining increasing acceptance for applications such as access control and smartphone security. When the images of the iris are obtained under unconstrained conditions, an issue of undermined quality is caused by optical and motion blur, off-angle view (the user's eyes looking somewhere else, not into the front of the camera), specular reflection (SR) and other factors. Such noisy iris images increase intra-individual variations and, as a result, reduce the accuracy of iris recognition. A typical iris recognition system requires a near-infrared (NIR) illuminator along with an NIR camera, which are larger and more expensive than fingerprint recognition equipment. Hence, many studies have proposed methods of using iris images captured by a visible light camera without the need for an additional illuminator. In this research, we propose a new recognition method for noisy iris and ocular images by using one iris and two periocular regions, based on three convolutional neural networks (CNNs). Experiments were conducted by using the noisy iris challenge evaluation-part II (NICE.II) training dataset (selected from the university of Beira iris (UBIRIS).v2 database), mobile iris challenge evaluation (MICHE) database, and institute of automation of Chinese academy of sciences (CASIA)-Iris-Distance database. As a result, the method proposed by this study outperformed previous methods.

  7. Iris recognition and what is next? Iris diagnosis: a new challenging topic for machine vision from image acquisition to image interpretation

    NASA Astrophysics Data System (ADS)

    Perner, Petra

    2017-03-01

    Molecular image-based techniques are widely used in medicine to detect specific diseases. Look diagnosis is an important issue but also the analysis of the eye plays an important role in order to detect specific diseases. These topics are important topics in medicine and the standardization of these topics by an automatic system can be a new challenging field for machine vision. Compared to iris recognition has the iris diagnosis much more higher demands for the image acquisition and interpretation of the iris. One understands by iris diagnosis (Iridology) the investigation and analysis of the colored part of the eye, the iris, to discover factors, which play an important role for the prevention and treatment of illnesses, but also for the preservation of an optimum health. An automatic system would pave the way for a much wider use of the iris diagnosis for the diagnosis of illnesses and for the purpose of individual health protection. With this paper, we describe our work towards an automatic iris diagnosis system. We describe the image acquisition and the problems with it. Different ways are explained for image acquisition and image preprocessing. We describe the image analysis method for the detection of the iris. The meta-model for image interpretation is given. Based on this model we show the many tasks for image analysis that range from different image-object feature analysis, spatial image analysis to color image analysis. Our first results for the recognition of the iris are given. We describe how detecting the pupil and not wanted lamp spots. We explain how to recognize orange blue spots in the iris and match them against the topological map of the iris. Finally, we give an outlook for further work.

  8. An Improved Iris Recognition Algorithm Based on Hybrid Feature and ELM

    NASA Astrophysics Data System (ADS)

    Wang, Juan

    2018-03-01

    The iris image is easily polluted by noise and uneven light. This paper proposed an improved extreme learning machine (ELM) based iris recognition algorithm with hybrid feature. 2D-Gabor filters and GLCM is employed to generate a multi-granularity hybrid feature vector. 2D-Gabor filter and GLCM feature work for capturing low-intermediate frequency and high frequency texture information, respectively. Finally, we utilize extreme learning machine for iris recognition. Experimental results reveal our proposed ELM based multi-granularity iris recognition algorithm (ELM-MGIR) has higher accuracy of 99.86%, and lower EER of 0.12% under the premise of real-time performance. The proposed ELM-MGIR algorithm outperforms other mainstream iris recognition algorithms.

  9. 75 FR 15499 - National Primary Drinking Water Regulations; Announcement of the Results of EPA's Review of...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-29

    ...--packed tower aeration PWS--public water system R2S2--Regulatory Review Support Spreadsheet RED...--hexavalent chromium CWS--community water system DBPs--disinfection byproducts DBCP--1,2-dibromo-3... Eligibility Decision IRIS--Integrated Risk Information System LCR--Lead and Copper Rule LH--lutenizing hormone...

  10. Asking the Right Questions: How to Select an Informal Reading Inventory

    ERIC Educational Resources Information Center

    Flippo, Rona F.; Holland, Dari-Ann D.; McCarthy, Mary T.; Swinning, Elizabeth A.

    2009-01-01

    Informal classroom assessments remain essential tools for improving the instruction of students, even in an age of accountability testing. This article focuses specifically on Informal Reading Inventories (IRIs). Even though the growing number of commercially available IRIs has made choosing the ones most suitable for students' and teachers' needs…

  11. [Moxiflaxin and iris transillumination].

    PubMed

    Broens, A; Collignon, N

    2016-07-01

    Bilateral Acute Iris Transillumination (BAIT) is a new clinical entity characterized by acute onset of pigment dispersion in the anterior chamber and angle, depigmentation of the iris stroma and permanent iris transillumination, masquerading as uveitis. An association with oral moxifloxacin is reported in some articles. We describe one case of bilateral acute iris transillumination, following the use of systemic moxifloxacin.

  12. Corrigendum to "Chemical composition and acidity of size-fractionated inorganic aerosols of 2013-14 winter haze in Shanghai and associated health risk of toxic elements" [Atmos. Environ. (2015) 259-271

    NASA Astrophysics Data System (ADS)

    Behera, Sailesh N.; Cheng, Jinping; Huang, Xian; Zhu, Qiongyu; Liu, Ping; Balasubramanian, Rajasekhar

    2018-03-01

    The authors regret that the sources from which the RfC (reference concentration) and the IUR (inhalation unit risk) values were obtained for estimation of RfD (reference dose, presented in Table 2) and SF (slope factor, presented in Table 3) were not clearly indicated in the published article due to an oversight. The revised tables with improved clarity are given below. a The Risk Assessment Information System (https://rais.ornl.gov/) b USEPA Integrated Risk Information System (IRIS) (http://www.epa.gov/iris) c The California EPA, the office of Environmental Health Hazard Assessment (OEHHA) (https://www.oehha.gov.gov/) d Behera, S.N., Xian, H. and Balasubramanian, R., 2014. Human health risk associated with exposure to toxic elements in mainstream and sidestream cigarette smoke. Science of the Total Environment, 472, pp.947-956.

  13. Analysis of Four Automated Urinalysis Systems Compared to Reference Methods.

    PubMed

    Bartosova, Kamila; Kubicek, Zdenek; Franekova, Janka; Louzensky, Gustav; Lavrikova, Petra; Jabor, Antonin

    2016-11-01

    The aim of this study was to compare four automated urinalysis systems: the Iris iQ200 Sprint (Iris Diagnostics, U.S.A.) combined with the Arkray AUTION MAX AX 4030, Iris + AUTION, Arkray AU 4050 (Arkray Global Business, Inc., Japan), Dirui FUS 2000 (Dirui Industrial Co., P.R.C.), and Menarini sediMAX (Menarini, Italy). Urine concentrations of protein and glucose (Iris, Dirui) were compared using reference quantitative analysis on an Abbott Architect c16000. Leukocytes, erythrocytes, epithelia, and casts (Iris, Arkray, Diuri, Menarini) were compared to urine sediment under reference light microscopy, Leica DM2000 (Leica Microsystems GmbH, Germany) with calibrated FastRead plates (Biosigma S.r.l., Italy), using both native and stained preparations. Total protein and glucose levels were measured using the Iris + AUTION system with borderline trueness, while the Dirui analysis revealed worse performances for the protein and glucose measurements. True classifications of leukocytes and erythrocytes were above 85% and 72%, respectively. Kappa statistics revealed a nearly perfect evaluation of leukocytes for all tested systems; the erythrocyte evaluation was nearly perfect for the Iris, Dirui and Arkray analyzers and substantial for the Menarini analyzer. The epithelia identification was connected to high false negativity (above 15%) in the Iris, Arkray, and Menarini analyses. False-negative casts were above 70% for all tested systems. The use of automated urinalysis demonstrated some weaknesses and should be checked by experienced laboratory staff using light microscopy.

  14. Vascular tumors of the iris in 45 patients: the 2009 Helen Keller Lecture.

    PubMed

    Shields, Jerry A; Bianciotto, Carlos; Kligman, Brad E; Shields, Carol L

    2010-09-01

    To report on a series of vascular tumors of the iris. Noncomparative case series. A retrospective medical record review of all patients with an iris vascular tumor was performed to identify the clinical features and develop a simple classification of these lesions. Included were demographics, clinical features, systemic associations, complications, management, and histopathology. There were 54 eyes in 45 patients with an iris vascular tumor. These were categorized as racemose hemangioma (41 eyes: 29 simple and 12 complex), cavernous hemangioma (3 eyes: 2 localized and 1 systemic), capillary hemangioma (1 eye, localized), varix (3 eyes, localized), and microhemangiomatosis (6 eyes, localized). The hemangiomas occurred in adults at a median age of 55 years, whereas capillary hemangioma occurred in infancy and cavernous hemangioma with systemic involvement occurred in a child. Of the 41 eyes with iris racemose hemangioma, none showed systemic involvement. Of all 54 eyes, transient hyphema was the main complication, found at some point in 30% or more of each affected eye except for iris capillary and racemose hemangioma. Surgical resection was necessary in 1 cavernous hemangioma and 1 varix. The remainder were managed with observation. There are now well-documented examples of iris racemose hemangioma, cavernous hemangioma, capillary hemangioma, varix, and microhemangiomatosis. Transient hyphema is the main complication. Observation is usually advised. Most are solitary lesions confined to the iris and some (cavernous hemangioma and microhemangiomatosis) can have important systemic associations.

  15. Intracellular cytoskeleton and junction proteins of endothelial cells in the porcine iris microvasculature.

    PubMed

    Yang, Hongfang; Yu, Paula K; Cringle, Stephen J; Sun, Xinghuai; Yu, Dao-Yi

    2015-11-01

    Recently we reported studies of the iris microvasculature and its endothelial cells using intra-luminal micro-perfusion, fixation, and silver staining, suggesting that the iris vascular endothelium may be crucial for maintaining homeostasis in the ocular anterior segment. Here we present information regarding the intracellular structure and cell junctions of the iris endothelium. Thirty-seven porcine eyes were used for this study. The temporal long posterior ciliary artery was cannulated to assess the iris microvascular network and its endothelium using intra-luminal micro-perfusion, fixation, and staining with phalloidin for intracellular cytoskeleton f-actin, and with antibodies against claudin-5 and VE-cadherin for junction proteins. Nuclei were counterstained with Hoechst. The iris was flat-mounted for confocal imaging. The iris microvasculature was studied for its distribution, branch orders and endothelial morphometrics with endothelial cell length measured for each vessel order. Our results showed that morphometrics of the iris microvasculature was comparable with our previous silver staining. Abundant stress fibres and peripheral border staining were seen within the endothelial cells in larger arteries. An obvious decrease in cytoplasmic stress fibres was evident further downstream in the smaller arterioles, and they tended to be absent from capillaries and veins. Endothelial intercellular junctions throughout the iris vasculature were VE-cadherin and claudin-5 immuno-positive, indicating the presence of both adherent junctions and tight junctions between vascular endothelial cells throughout the iris microvasculature. Unevenness of claudin-5 staining was noted along the endothelial cell borders in almost every order of vessels, especially in veins and small arterioles. Our results suggest that significant heterogeneity of intracellular structure and junction proteins is present in different orders of the iris vasculature in addition to vascular diameter and shape of the endothelia. Detailed information of the topography and intracellular structure and junction proteins of the endothelium of the iris microvasculature combined with unique structural features of the iris may help us to further understand the physiological and pathogenic roles of the iris vasculature in relevant ocular diseases. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. New CERES Data Examined for Evidence of Tropical Iris Feedback

    NASA Technical Reports Server (NTRS)

    Chambers, Lin H.; Lin, Bing; Young, David F.

    2002-01-01

    New data products are available from the CERES instrument, a part of the NASA Earth Observing System. The Single Scanner Footprint (SSF) product combines radiative fluxes with extensive information on the cloud conditions in the footprint, which are retrieved using the co-orbiting imager instrument. These data have been analyzed to more accurately define the radiative properties for the various regions of the recently-proposed adaptive infrared Iris. A variety of ways of defining the cloudy moist region were examined. According to CERES, the net radiative flux for the cloudy moist region ranges between 28 and 54 W/m2 depending on the specific definition used. This is in contrast to the value of 123 W/m2 which was somewhat subjectively assigned by LCH. This simple model may miss many feedbacks in the climate system, but it should provide a rough range of the climate variations if the physics of the Iris is correct. There is some question whether the change in cloudy moist area with cloud-weighted SST actually represents a useful quantity, and whether extrapolating it from a regional variation to a global response to warmer climate is appropriate. Regardless, the current results show that the proposed Iris feedback is very much weaker when objectively-determined radiative properties are used in the model.

  17. Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric

    NASA Astrophysics Data System (ADS)

    He, Fei; Liu, Yuanning; Zhu, Xiaodong; Huang, Chun; Han, Ye; Chen, Ying

    2014-05-01

    A multimodal biometric system has been considered a promising technique to overcome the defects of unimodal biometric systems. We have introduced a fusion scheme to gain a better understanding and fusion method for a face-iris-fingerprint multimodal biometric system. In our case, we use particle swarm optimization to train a set of adaptive Gabor filters in order to achieve the proper Gabor basic functions for each modality. For a closer analysis of texture information, two different local Gabor features for each modality are produced by the corresponding Gabor coefficients. Next, all matching scores of the two Gabor features for each modality are projected to a single-scalar score via a trained, supported, vector regression model for a final decision. A large-scale dataset is formed to validate the proposed scheme using the Facial Recognition Technology database-fafb and CASIA-V3-Interval together with FVC2004-DB2a datasets. The experimental results demonstrate that as well as achieving further powerful local Gabor features of multimodalities and obtaining better recognition performance by their fusion strategy, our architecture also outperforms some state-of-the-art individual methods and other fusion approaches for face-iris-fingerprint multimodal biometric systems.

  18. RE: Notification of SAB Workgroup Public Meeting for the Toxicological Review of Inorganic Arsenic

    EPA Pesticide Factsheets

    Request from the Organic Arsenical Products Task Force for the Science Advisory Board to reschedule the public meeting of a workgroup to conduct a review of the draft document Toxicological Review of Inorganic Arsenic: In Support of the Summary Information on the Integrated Risk Information System (IRIS).

  19. IRIS Assessment Plan for Ammonia and Ammonium Salts Noncancer Oral (Scoping and Problem Formulation Materials)

    EPA Science Inventory

    In April 2018, EPA released the draft IRIS Assessment Plan for Ammonia and Ammonium Salts Noncancer Oral. The IAP communicates to the public the plan for assessing each individual chemical and includes summary information on the IRIS Program’s scoping and initial proble...

  20. IRIS Toxicological Review of Naphthalene (Scoping and Problem Formulation Materials)

    EPA Science Inventory

    In July 2014, EPA released scoping and problem formulation materials for new IRIS assessments of ethylbenzene and naphthalene for public comment and discussion. The scoping information was based on input from EPA's program and regional offices and was provided for informational p...

  1. IRIS Toxicological Review of Ethylbenzene (Scoping and Problem Formulation Materials)

    EPA Science Inventory

    In July 2014, EPA released scoping and problem formulation materials for new IRIS assessments of ethylbenzene and naphthalene for public comment and discussion. The scoping information was based on input from EPA's program and regional offices and was provided for informational p...

  2. IRIS Toxicological Review of Naphthalene (2014, Scoping and Problem Formulation Materials)

    EPA Science Inventory

    In July 2014, EPA released scoping and problem formulation materials for new IRIS assessments of ethylbenzene and naphthalene for public comment and discussion. The scoping information was based on input from EPA's program and regional offices and was provided for informational p...

  3. IRIS Toxicological Review for Inorganic Arsenic (Scoping and Problem Formulation Materials)

    EPA Science Inventory

    In November 2012, EPA released scoping and problem formulation materials for the IRIS assessment of inorganic arsenic for public comment and discussion. The scoping information was based on input from EPA's program and regional offices and was provided for informational purposes....

  4. The Influence of Reinspection on Students' IRI Results.

    ERIC Educational Resources Information Center

    Cardarelli, Aldo F.

    1988-01-01

    Claims that in the conventional administration of the Informal Reading Inventory (IRI) comprehension diagnosis is inordinately influenced by the reader's ability to recall information. Suggests that allowing reinspection by the reader restores recall to its proper function and may result in other advantages. (NH)

  5. How Reliable Are Informal Reading Inventories?

    ERIC Educational Resources Information Center

    Spector, Janet E.

    2005-01-01

    Informal Reading Inventories (IRI) are often recommended as instructionally relevant measures of reading. However, they have also been criticized for inattention to technical quality. Examination of reliability evidence in nine recently revised IRIs revealed that fewer than half report reliability. Several appear to have sufficient reliability for…

  6. Iris Recognition: The Consequences of Image Compression

    NASA Astrophysics Data System (ADS)

    Ives, Robert W.; Bishop, Daniel A.; Du, Yingzi; Belcher, Craig

    2010-12-01

    Iris recognition for human identification is one of the most accurate biometrics, and its employment is expanding globally. The use of portable iris systems, particularly in law enforcement applications, is growing. In many of these applications, the portable device may be required to transmit an iris image or template over a narrow-bandwidth communication channel. Typically, a full resolution image (e.g., VGA) is desired to ensure sufficient pixels across the iris to be confident of accurate recognition results. To minimize the time to transmit a large amount of data over a narrow-bandwidth communication channel, image compression can be used to reduce the file size of the iris image. In other applications, such as the Registered Traveler program, an entire iris image is stored on a smart card, but only 4 kB is allowed for the iris image. For this type of application, image compression is also the solution. This paper investigates the effects of image compression on recognition system performance using a commercial version of the Daugman iris2pi algorithm along with JPEG-2000 compression, and links these to image quality. Using the ICE 2005 iris database, we find that even in the face of significant compression, recognition performance is minimally affected.

  7. Noisy Ocular Recognition Based on Three Convolutional Neural Networks

    PubMed Central

    Lee, Min Beom; Hong, Hyung Gil; Park, Kang Ryoung

    2017-01-01

    In recent years, the iris recognition system has been gaining increasing acceptance for applications such as access control and smartphone security. When the images of the iris are obtained under unconstrained conditions, an issue of undermined quality is caused by optical and motion blur, off-angle view (the user’s eyes looking somewhere else, not into the front of the camera), specular reflection (SR) and other factors. Such noisy iris images increase intra-individual variations and, as a result, reduce the accuracy of iris recognition. A typical iris recognition system requires a near-infrared (NIR) illuminator along with an NIR camera, which are larger and more expensive than fingerprint recognition equipment. Hence, many studies have proposed methods of using iris images captured by a visible light camera without the need for an additional illuminator. In this research, we propose a new recognition method for noisy iris and ocular images by using one iris and two periocular regions, based on three convolutional neural networks (CNNs). Experiments were conducted by using the noisy iris challenge evaluation-part II (NICE.II) training dataset (selected from the university of Beira iris (UBIRIS).v2 database), mobile iris challenge evaluation (MICHE) database, and institute of automation of Chinese academy of sciences (CASIA)-Iris-Distance database. As a result, the method proposed by this study outperformed previous methods. PMID:29258217

  8. Multi-Patches IRIS Based Person Authentication System Using Particle Swarm Optimization and Fuzzy C-Means Clustering

    NASA Astrophysics Data System (ADS)

    Shekar, B. H.; Bhat, S. S.

    2017-05-01

    Locating the boundary parameters of pupil and iris and segmenting the noise free iris portion are the most challenging phases of an automated iris recognition system. In this paper, we have presented person authentication frame work which uses particle swarm optimization (PSO) to locate iris region and circular hough transform (CHT) to device the boundary parameters. To undermine the effect of the noise presented in the segmented iris region we have divided the candidate region into N patches and used Fuzzy c-means clustering (FCM) to classify the patches into best iris region and not so best iris region (noisy region) based on the probability density function of each patch. Weighted mean Hammimng distance is adopted to find the dissimilarity score between the two candidate irises. We have used Log-Gabor, Riesz and Taylor's series expansion (TSE) filters and combinations of these three for iris feature extraction. To justify the feasibility of the proposed method, we experimented on the three publicly available data sets IITD, MMU v-2 and CASIA v-4 distance.

  9. The infrared imaging spectrograph (IRIS) for TMT: latest science cases and simulations

    NASA Astrophysics Data System (ADS)

    Wright, Shelley A.; Walth, Gregory; Do, Tuan; Marshall, Daniel; Larkin, James E.; Moore, Anna M.; Adamkovics, Mate; Andersen, David; Armus, Lee; Barth, Aaron; Cote, Patrick; Cooke, Jeff; Chisholm, Eric M.; Davidge, Timothy; Dunn, Jennifer S.; Dumas, Christophe; Ellerbroek, Brent L.; Ghez, Andrea M.; Hao, Lei; Hayano, Yutaka; Liu, Michael; Lopez-Rodriguez, Enrique; Lu, Jessica R.; Mao, Shude; Marois, Christian; Pandey, Shashi B.; Phillips, Andrew C.; Schoeck, Matthias; Subramaniam, Annapurni; Subramanian, Smitha; Suzuki, Ryuji; Tan, Jonathan C.; Terai, Tsuyoshi; Treu, Tommaso; Simard, Luc; Weiss, Jason L.; Wincentsen, James; Wong, Michael; Zhang, Kai

    2016-07-01

    The Thirty Meter Telescope (TMT) first light instrument IRIS (Infrared Imaging Spectrograph) will complete its preliminary design phase in 2016. The IRIS instrument design includes a near-infrared (0.85 - 2.4 micron) integral field spectrograph (IFS) and imager that are able to conduct simultaneous diffraction-limited observations behind the advanced adaptive optics system NFIRAOS. The IRIS science cases have continued to be developed and new science studies have been investigated to aid in technical performance and design requirements. In this development phase, the IRIS science team has paid particular attention to the selection of filters, gratings, sensitivities of the entire system, and science cases that will benefit from the parallel mode of the IFS and imaging camera. We present new science cases for IRIS using the latest end-to-end data simulator on the following topics: Solar System bodies, the Galactic center, active galactic nuclei (AGN), and distant gravitationally-lensed galaxies. We then briefly discuss the necessity of an advanced data management system and data reduction pipeline.

  10. IRIS Toxicological Review of Tert-Butyl Alcohol (Tert-Butanol) ...

    EPA Pesticide Factsheets

    EPA is developing an Integrated Risk Information System (IRIS) assessment of tert-butyl Alcohol (tert-butanol) and has released the public comment draft assessment for public comment and external peer review. When final, the assessment will appear on the IRIS database. This draft report is being released for public viewing and comment prior to a public meeting, providing an opportunity for the IRIS Program to engage in early discussions with stakeholders and the public on data that may be used to identify adverse health effects and characterize exposure-response relationships. EPA welcomes all comments on the draft literature search, preliminary evidence tables, and preliminary exposure-response arrays, such as remarks on the following: • the clarity and transparency of the materials; • the approach for identifying pertinent studies; • the selection of studies for data extraction to preliminary evidence tables and exposure-response arrays; • any methodological considerations that could affect the interpretation of or confidence in study results; and • any additional studies published or nearing publication that may provide data for the evaluation of human health hazard or dose-response relationships.

  11. On-instrument wavefront sensor design for the TMT infrared imaging spectrograph (IRIS) update

    NASA Astrophysics Data System (ADS)

    Dunn, Jennifer; Reshetov, Vladimir; Atwood, Jenny; Pazder, John; Wooff, Bob; Loop, David; Saddlemyer, Leslie; Moore, Anna M.; Larkin, James E.

    2014-08-01

    The first light instrument on the Thirty Meter Telescope (TMT) project will be the InfraRed Imaging Spectrograph (IRIS). IRIS will be mounted on a bottom port of the facility AO instrument NFIRAOS. IRIS will report guiding information to the NFIRAOS through the On-Instrument Wavefront Sensor (OIWFS) that is part of IRIS. This will be in a self-contained compartment of IRIS and will provide three deployable wavefront sensor probe arms. This entire unit will be rotated to provide field de-rotation. Currently in our preliminary design stage our efforts have included: prototyping of the probe arm to determine the accuracy of this critical component, handling cart design and reviewing different types of glass for the atmospheric dispersion.

  12. New Data Products Available at the IRIS Data Management Center

    NASA Astrophysics Data System (ADS)

    Ahern, T.; Casey, R.; Kamb, L.; Zeleznik, M.; Ammon, C. J.

    2007-12-01

    With USArray data processing and services in full production, the IRIS Data Management Center (DMC) has developed an online tool to function as a library for products derived from raw USArray observations as well as other catalogs with broad interest produced and supplied by the geoscience community. The service, called SPADE, is a flexible, annotated cataloging system for storing heterogeneous data products supplied by registered providers. SPADE includes a web interface that allows users to search across the spectrum of varied data products using geographic, temporal, and/or keyword parameters to locate products of specific interest. In addition to cooperative product submissions from outside institutions, the IRIS DMC is collaborating and developing frameworks to produce and to provide interesting products that take advantage of data from USArray sensors. These products are automatically produced in near- real time following interesting seismic events, and broaden the range of information that IRIS delivers to the geoscience community. In this presentation we will demonstrate the SPADE query interface and present examples of the available data products such as Global Centroid Moment Tensor solutions from Harvard and Columbia Universities, historic earthquake data scanned from select WWSSN film chips, as well as IRIS-produced seismic record sections, and ground-motion animations derived from Transportable Array observations.

  13. Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution.

    PubMed

    Hsieh, Sheng-Hsun; Li, Yung-Hui; Tien, Chung-Hao; Chang, Chin-Chen

    2016-12-01

    Iris recognition has gained increasing popularity over the last few decades; however, the stand-off distance in a conventional iris recognition system is too short, which limits its application. In this paper, we propose a novel hardware-software hybrid method to increase the stand-off distance in an iris recognition system. When designing the system hardware, we use an optimized wavefront coding technique to extend the depth of field. To compensate for the blurring of the image caused by wavefront coding, on the software side, the proposed system uses a local patch-based super-resolution method to restore the blurred image to its clear version. The collaborative effect of the new hardware design and software post-processing showed great potential in our experiment. The experimental results showed that such improvement cannot be achieved by using a hardware-or software-only design. The proposed system can increase the capture volume of a conventional iris recognition system by three times and maintain the system's high recognition rate.

  14. Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system.

    PubMed

    Krishnamoorthi, R; Anna Poorani, G

    2016-01-01

    Iris normalization is an important stage in any iris biometric, as it has a propensity to trim down the consequences of iris distortion. To indemnify the variation in size of the iris owing to the action of stretching or enlarging the pupil in iris acquisition process and camera to eyeball distance, two normalization schemes has been proposed in this work. In the first method, the iris region of interest is normalized by converting the iris into the variable size rectangular model in order to avoid the under samples near the limbus border. In the second method, the iris region of interest is normalized by converting the iris region into a fixed size rectangular model in order to avoid the dimensional discrepancies between the eye images. The performance of the proposed normalization methods is evaluated with orthogonal polynomials based iris recognition in terms of FAR, FRR, GAR, CRR and EER.

  15. Preservice Teachers' Ability To Determine Miscues and Comprehension Response Errors of Elementary Students.

    ERIC Educational Resources Information Center

    Traynelis-Yurek, Elaine; Strong, Mary W.

    2000-01-01

    Examines the results of instruction in administering the Informal Reading Inventory (IRI) in three teacher training programs. Focuses on the examination of the scoring of the IRI in simulation exercises by preservice teachers after instruction in the administration and scoring of the IRI. Concludes that the preservice teachers did not accurately…

  16. Reducing Error Rates for Iris Image using higher Contrast in Normalization process

    NASA Astrophysics Data System (ADS)

    Aminu Ghali, Abdulrahman; Jamel, Sapiee; Abubakar Pindar, Zahraddeen; Hasssan Disina, Abdulkadir; Mat Daris, Mustafa

    2017-08-01

    Iris recognition system is the most secured, and faster means of identification and authentication. However, iris recognition system suffers a setback from blurring, low contrast and illumination due to low quality image which compromises the accuracy of the system. The acceptance or rejection rates of verified user depend solely on the quality of the image. In many cases, iris recognition system with low image contrast could falsely accept or reject user. Therefore this paper adopts Histogram Equalization Technique to address the problem of False Rejection Rate (FRR) and False Acceptance Rate (FAR) by enhancing the contrast of the iris image. A histogram equalization technique enhances the image quality and neutralizes the low contrast of the image at normalization stage. The experimental result shows that Histogram Equalization Technique has reduced FRR and FAR compared to the existing techniques.

  17. Feature Vector Construction Method for IRIS Recognition

    NASA Astrophysics Data System (ADS)

    Odinokikh, G.; Fartukov, A.; Korobkin, M.; Yoo, J.

    2017-05-01

    One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent comparison. Thorough investigation of feature vectors obtained from iris showed that not all the vector elements are equally relevant. There are two characteristics which determine the vector element utility: fragility and discriminability. Conventional iris feature extraction methods consider the concept of fragility as the feature vector instability without respect to the nature of such instability appearance. This work separates sources of the instability into natural and encodinginduced which helps deeply investigate each source of instability independently. According to the separation concept, a novel approach of iris feature vector construction is proposed. The approach consists of two steps: iris feature extraction using Gabor filtering with optimal parameters and quantization with separated preliminary optimized fragility thresholds. The proposed method has been tested on two different datasets of iris images captured under changing environmental conditions. The testing results show that the proposed method surpasses all the methods considered as a prior art by recognition accuracy on both datasets.

  18. Informal Reading Inventories. Second Edition. Reading Aids Series, IRA Service Bulletin.

    ERIC Educational Resources Information Center

    Johnson, Marjorie Seddon; And Others

    Representing a comprehensive description of the use of informal reading inventories (IRIs), this book is designed to provide teachers and reading specialists with practical strategies for forming diagnostic impressions that are useful for planning reading instruction. Respectively, chapters discuss (1) the purpose and nature of IRIs; (2)…

  19. A new phase-correlation-based iris matching for degraded images.

    PubMed

    Krichen, Emine; Garcia-Salicetti, Sonia; Dorizzi, Bernadette

    2009-08-01

    In this paper, we present a new phase-correlation-based iris matching approach in order to deal with degradations in iris images due to unconstrained acquisition procedures. Our matching system is a fusion of global and local Gabor phase-correlation schemes. The main originality of our local approach is that we do not only consider the correlation peak amplitudes but also their locations in different regions of the images. Results on several degraded databases, namely, the CASIA-BIOSECURE and Iris Challenge Evaluation 2005 databases, show the improvement of our method compared to two available reference systems, Masek and Open Source for Iris (OSRIS), in verification mode.

  20. Multispectral iris recognition based on group selection and game theory

    NASA Astrophysics Data System (ADS)

    Ahmad, Foysal; Roy, Kaushik

    2017-05-01

    A commercially available iris recognition system uses only a narrow band of the near infrared spectrum (700-900 nm) while iris images captured in the wide range of 405 nm to 1550 nm offer potential benefits to enhance recognition performance of an iris biometric system. The novelty of this research is that a group selection algorithm based on coalition game theory is explored to select the best patch subsets. In this algorithm, patches are divided into several groups based on their maximum contribution in different groups. Shapley values are used to evaluate the contribution of patches in different groups. Results show that this group selection based iris recognition

  1. Benzo[a]pyrene (BaP)

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 17 / 003Fc www.epa.gov / iris Toxicological Review of Benzo [ a ] pyrene Executive Summary [ CASRN 50 - 32 - 8 ] January 2017 Integrated Risk Information System National Center for Environmental Assessment Office of Research and Development U.S . Environmental Protection Agency Washi

  2. 1,2,4-Trimethylbenzene

    Integrated Risk Information System (IRIS)

    EPA / 635 / R - 16 / 161Fc www.epa.gov / iris Toxicological Review of Trimethylbenzenes : Executive Summary [ CASRNs 25551 - 13 - 7 , 95 - 63 - 6 , 526 - 73 - 8 , and 108 - 67 - 8 ] September 2016 Integrated Risk Information System National Center for Environmental Assessment Office of Research and

  3. Reproducibility and Transparency of Omics Research - Impacts on Human Health Risk Assessment

    EPA Science Inventory

    Omics technologies are becoming more widely used in toxicology, necessitating their consideration in human health hazard and risk assessment programs. Today, risk assessors in the United States Environmental Protection Agency’s Integrated Risk Information System (IRIS) Toxicologi...

  4. 77 FR 26751 - Integrated Risk Information System (IRIS); Announcement of 2012 Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-07

    ...-41-4. ethylene oxide (cancer) 75-21-8. formaldehyde \\1\\ 50-00-0. hexabromocyclododecane (mixed 3194...\\. octamethylcyclotetrasiloxane 556-67-2 FY13. (D4) \\2\\. 1,2-dichloroethane (ethylene 107-06-2 FY14. dichloride) \\1,3...

  5. Evaluation of the Carcinogenicity of Ethylene Oxide (2006 External Review Draft)

    EPA Science Inventory

    EPA conducted a peer review and public comment of the scientific basis supporting the human health hazard and dose-response assessment of ethylene oxide (cancer) that when finalized will appear on the Integrated Risk Information System (IRIS) database.

  6. Limbus Impact on Off-angle Iris Degradation

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Karakaya, Mahmut; Barstow, Del R; Santos-Villalobos, Hector J

    The accuracy of iris recognition depends on the quality of data capture and is negatively affected by several factors such as angle, occlusion, and dilation. Off-angle iris recognition is a new research focus in biometrics that tries to address several issues including corneal refraction, complex 3D iris texture, and blur. In this paper, we present an additional significant challenge that degrades the performance of the off-angle iris recognition systems, called the limbus effect . The limbus is the region at the border of the cornea where the cornea joins the sclera. The limbus is a semitransparent tissue that occludes amore » side portion of the iris plane. The amount of occluded iris texture on the side nearest the camera increases as the image acquisition angle increases. Without considering the role of the limbus effect, it is difficult to design an accurate off-angle iris recognition system. To the best of our knowledge, this is the first work that investigates the limbus effect in detail from a biometrics perspective. Based on results from real images and simulated experiments with real iris texture, the limbus effect increases the hamming distance score between frontal and off-angle iris images ranging from 0.05 to 0.2 depending upon the limbus height.« less

  7. Iris recognition as a biometric method after cataract surgery

    PubMed Central

    Roizenblatt, Roberto; Schor, Paulo; Dante, Fabio; Roizenblatt, Jaime; Belfort, Rubens

    2004-01-01

    Background Biometric methods are security technologies, which use human characteristics for personal identification. Iris recognition systems use iris textures as unique identifiers. This paper presents an analysis of the verification of iris identities after intra-ocular procedures, when individuals were enrolled before the surgery. Methods Fifty-five eyes from fifty-five patients had their irises enrolled before a cataract surgery was performed. They had their irises verified three times before and three times after the procedure, and the Hamming (mathematical) distance of each identification trial was determined, in a controlled ideal biometric environment. The mathematical difference between the iris code before and after the surgery was also compared to a subjective evaluation of the iris anatomy alteration by an experienced surgeon. Results A correlation between visible subjective iris texture alteration and mathematical difference was verified. We found only six cases in which the eye was no more recognizable, but these eyes were later reenrolled. The main anatomical changes that were found in the new impostor eyes are described. Conclusions Cataract surgeries change iris textures in such a way that iris recognition systems, which perform mathematical comparisons of textural biometric features, are able to detect these changes and sometimes even discard a pre-enrolled iris considering it an impostor. In our study, re-enrollment proved to be a feasible procedure. PMID:14748929

  8. Iris recognition as a biometric method after cataract surgery.

    PubMed

    Roizenblatt, Roberto; Schor, Paulo; Dante, Fabio; Roizenblatt, Jaime; Belfort, Rubens

    2004-01-28

    Biometric methods are security technologies, which use human characteristics for personal identification. Iris recognition systems use iris textures as unique identifiers. This paper presents an analysis of the verification of iris identities after intra-ocular procedures, when individuals were enrolled before the surgery. Fifty-five eyes from fifty-five patients had their irises enrolled before a cataract surgery was performed. They had their irises verified three times before and three times after the procedure, and the Hamming (mathematical) distance of each identification trial was determined, in a controlled ideal biometric environment. The mathematical difference between the iris code before and after the surgery was also compared to a subjective evaluation of the iris anatomy alteration by an experienced surgeon. A correlation between visible subjective iris texture alteration and mathematical difference was verified. We found only six cases in which the eye was no more recognizable, but these eyes were later reenrolled. The main anatomical changes that were found in the new impostor eyes are described. Cataract surgeries change iris textures in such a way that iris recognition systems, which perform mathematical comparisons of textural biometric features, are able to detect these changes and sometimes even discard a pre-enrolled iris considering it an impostor. In our study, re-enrollment proved to be a feasible procedure.

  9. Topside correction of IRI by global modeling of ionospheric scale height using COSMIC radio occultation data

    NASA Astrophysics Data System (ADS)

    Wu, M. J.; Guo, P.; Fu, N. F.; Xu, T. L.; Xu, X. S.; Jin, H. L.; Hu, X. G.

    2016-06-01

    The ionosphere scale height is one of the most significant ionospheric parameters, which contains information about the ion and electron temperatures and dynamics in upper ionosphere. In this paper, an empirical orthogonal function (EOF) analysis method is applied to process all the ionospheric radio occultations of GPS/COSMIC (Constellation Observing System for Meteorology, Ionosphere, and Climate) from the year 2007 to 2011 to reconstruct a global ionospheric scale height model. This monthly medium model has spatial resolution of 5° in geomagnetic latitude (-87.5° ~ 87.5°) and temporal resolution of 2 h in local time. EOF analysis preserves the characteristics of scale height quite well in the geomagnetic latitudinal, anural, seasonal, and diurnal variations. In comparison with COSMIC measurements of the year of 2012, the reconstructed model indicates a reasonable accuracy. In order to improve the topside model of International Reference Ionosphere (IRI), we attempted to adopt the scale height model in the Bent topside model by applying a scale factor q as an additional constraint. With the factor q functioning in the exponent profile of topside ionosphere, the IRI scale height should be forced equal to the precise COSMIC measurements. In this way, the IRI topside profile can be improved to get closer to the realistic density profiles. Internal quality check of this approach is carried out by comparing COSMIC realistic measurements and IRI with or without correction, respectively. In general, the initial IRI model overestimates the topside electron density to some extent, and with the correction introduced by COSMIC scale height model, the deviation of vertical total electron content (VTEC) between them is reduced. Furthermore, independent validation with Global Ionospheric Maps VTEC implies a reasonable improvement in the IRI VTEC with the topside model correction.

  10. Improving Decision-Making Activities for Meningitis and Malaria

    NASA Astrophysics Data System (ADS)

    Ceccato, P.; Trzaska, S.; Perez, C.; Kalashnikova, O. V.; del Corral, J.; Cousin, R.; Blumenthal, M. B.; Connor, S.; Thomson, M. C.

    2012-12-01

    Public health professionals are increasingly concerned about the potential impact that climate variability and change can have on infectious disease. The International Research Institute for Climate and Society (IRI) is developing new products to increase the public health community's capacity to understand, use, and demand the appropriate climate data and climate information to mitigate the public health impacts of climate on infectious disease, in particular Meningitis and Malaria. In this paper we present the new and improved products that have been developed for monitoring dust, temperature, rainfall and vectorial capacity model for monitoring and forecasting risks of Meningitis and Malaria epidemics. We also present how the products have been integrated into a knowledge system (IRI Data Library Map room, SERVIR) to support the use of climate and environmental information in climate-sensitive health decision-making.

  11. Iris biometric system design using multispectral imaging

    NASA Astrophysics Data System (ADS)

    Widhianto, Benedictus Yohanes Bagus Y. B.; Nasution, Aulia M. T.

    2016-11-01

    An identity recognition system is a vital component that cannot be separated from life, iris biometric is one of the biometric that has the best accuracy reaching 99%. Usually, iris biometric systems use infrared spectrum lighting to reduce discomfort caused by radiation when the eye is given direct light, while the eumelamin that is forming the iris has the most flourescent radiation when given a spectrum of visible light. This research will be conducted by detecting iris wavelengths of 850 nm, 560 nm, and 590 nm, where the detection algorithm will be using Daugman algorithm by using a Gabor wavelet extraction feature, and matching feature using a Hamming distance. Results generated will be analyzed to identify how much differences there are, and to improve the accuracy of the multispectral biometric system and as a detector of the authenticity of the iris. The results obtained from the analysis of wavelengths 850 nm, 560 nm, and 590 nm respectively has an accuracy of 99,35 , 97,5 , 64,5 with a matching score of 0,26 , 0,23 , 0,37.

  12. Iris recognition using possibilistic fuzzy matching on local features.

    PubMed

    Tsai, Chung-Chih; Lin, Heng-Yi; Taur, Jinshiuh; Tao, Chin-Wang

    2012-02-01

    In this paper, we propose a novel possibilistic fuzzy matching strategy with invariant properties, which can provide a robust and effective matching scheme for two sets of iris feature points. In addition, the nonlinear normalization model is adopted to provide more accurate position before matching. Moreover, an effective iris segmentation method is proposed to refine the detected inner and outer boundaries to smooth curves. For feature extraction, the Gabor filters are adopted to detect the local feature points from the segmented iris image in the Cartesian coordinate system and to generate a rotation-invariant descriptor for each detected point. After that, the proposed matching algorithm is used to compute a similarity score for two sets of feature points from a pair of iris images. The experimental results show that the performance of our system is better than those of the systems based on the local features and is comparable to those of the typical systems.

  13. The Reliability of Informal Reading Inventories: What Has Changed?

    ERIC Educational Resources Information Center

    Nilsson, Nina L.

    2013-01-01

    Over time, criticisms related to the technical rigor of informal reading inventories (IRIs) have led many to question using these assessment instruments for high- or low-stakes purposes. In this article, I examine reliability evidence reported in 11 new and updated IRIs and make comparisons with Spector's earlier analysis that revealed fewer than…

  14. A Critical Analysis of Eight Informal Reading Inventories

    ERIC Educational Resources Information Center

    Nilsson, Nina L.

    2008-01-01

    For this content analysis study, the author examined and cross-compared the various ways in which eight informal reading inventories (IRIs) published from 2004 to 2008 address key issues relevant to new U.S. federal guidelines and the National Reading Panel's five critical components of reading instruction. Results suggest the IRIs range in…

  15. Evaluation of the Inhalation Carcinogenicity of Ethylene Oxide (Revised August 2014 External Review Draft) (SAB Review Draft)

    EPA Science Inventory

    EPA is seeking peer review of the scientific basis supporting the human health hazard and dose-response assessment of ethylene oxide (cancer) that will appear in the Integrated Risk Information System (IRIS) database.

  16. Enhanced iris recognition method based on multi-unit iris images

    NASA Astrophysics Data System (ADS)

    Shin, Kwang Yong; Kim, Yeong Gon; Park, Kang Ryoung

    2013-04-01

    For the purpose of biometric person identification, iris recognition uses the unique characteristics of the patterns of the iris; that is, the eye region between the pupil and the sclera. When obtaining an iris image, the iris's image is frequently rotated because of the user's head roll toward the left or right shoulder. As the rotation of the iris image leads to circular shifting of the iris features, the accuracy of iris recognition is degraded. To solve this problem, conventional iris recognition methods use shifting of the iris feature codes to perform the matching. However, this increases the computational complexity and level of false acceptance error. To solve these problems, we propose a novel iris recognition method based on multi-unit iris images. Our method is novel in the following five ways compared with previous methods. First, to detect both eyes, we use Adaboost and a rapid eye detector (RED) based on the iris shape feature and integral imaging. Both eyes are detected using RED in the approximate candidate region that consists of the binocular region, which is determined by the Adaboost detector. Second, we classify the detected eyes into the left and right eyes, because the iris patterns in the left and right eyes in the same person are different, and they are therefore considered as different classes. We can improve the accuracy of iris recognition using this pre-classification of the left and right eyes. Third, by measuring the angle of head roll using the two center positions of the left and right pupils, detected by two circular edge detectors, we obtain the information of the iris rotation angle. Fourth, in order to reduce the error and processing time of iris recognition, adaptive bit-shifting based on the measured iris rotation angle is used in feature matching. Fifth, the recognition accuracy is enhanced by the score fusion of the left and right irises. Experimental results on the iris open database of low-resolution images showed that the averaged equal error rate of iris recognition using the proposed method was 4.3006%, which is lower than that of other methods.

  17. Development of IR imaging system simulator

    NASA Astrophysics Data System (ADS)

    Xiang, Xinglang; He, Guojing; Dong, Weike; Dong, Lu

    2017-02-01

    To overcome the disadvantages of the tradition semi-physical simulation and injection simulation equipment in the performance evaluation of the infrared imaging system (IRIS), a low-cost and reconfigurable IRIS simulator, which can simulate the realistic physical process of infrared imaging, is proposed to test and evaluate the performance of the IRIS. According to the theoretical simulation framework and the theoretical models of the IRIS, the architecture of the IRIS simulator is constructed. The 3D scenes are generated and the infrared atmospheric transmission effects are simulated using OGRE technology in real-time on the computer. The physical effects of the IRIS are classified as the signal response characteristic, modulation transfer characteristic and noise characteristic, and they are simulated on the single-board signal processing platform based on the core processor FPGA in real-time using high-speed parallel computation method.

  18. The IRIS Data Management Center: Enabling Access to Observational Time Series Spanning Decades

    NASA Astrophysics Data System (ADS)

    Ahern, T.; Benson, R.; Trabant, C.

    2009-04-01

    The Incorporated Research Institutions for Seismology (IRIS) is funded by the National Science Foundation (NSF) to operate the facilities to generate, archive, and distribute seismological data to research communities in the United States and internationally. The IRIS Data Management System (DMS) is responsible for the ingestion, archiving, curation and distribution of these data. The IRIS Data Management Center (DMC) manages data from more than 100 permanent seismic networks, hundreds of temporary seismic deployments as well as data from other geophysical observing networks such as magnetotelluric sensors, ocean bottom sensors, superconducting gravimeters, strainmeters, surface meteorological measurements, and in-situ atmospheric pressure measurements. The IRIS DMC has data from more than 20 different types of sensors. The IRIS DMC manages approximately 100 terabytes of primary observational data. These data are archived in multiple distributed storage systems that insure data availability independent of any single catastrophic failure. Storage systems include both RAID systems of greater than 100 terabytes as well as robotic tape robots of petabyte capacity. IRIS performs routine transcription of the data to new media and storage systems to insure the long-term viability of the scientific data. IRIS adheres to the OAIS Data Preservation Model in most cases. The IRIS data model requires the availability of metadata describing the characteristics and geographic location of sensors before data can be fully archived. IRIS works with the International Federation of Digital Seismographic Networks (FDSN) in the definition and evolution of the metadata. The metadata insures that the data remain useful to both current and future generations of earth scientists. Curation of the metadata and time series is one of the most important activities at the IRIS DMC. Data analysts and an automated quality assurance system monitor the quality of the incoming data. This insures data are of acceptably high quality. The formats and data structures used by the seismological community are esoteric. IRIS and its FDSN partners are developing web services that can transform the data holdings to structures that are more easily used by broader scientific communities. For instance, atmospheric scientists are interested in using global observations of microbarograph data but that community does not understand the methods of applying instrument corrections to the observations. Web processing services under development at IRIS will transform these data in a manner that allows direct use within such analysis tools as MATLAB® already in use by that community. By continuing to develop web-service based methods of data discovery and access, IRIS is enabling broader access to its data holdings. We currently support data discovery using many of the Open Geospatial Consortium (OGC) web mapping services. We are involved in portal technologies to support data discovery and distribution for all data from the EarthScope project. We are working with computer scientists at several universities including the University of Washington as part of a DataNet proposal and we intend to enhance metadata, further develop ontologies, develop a Registry Service to aid in the discovery of data sets and services, and in general improve the semantic interoperability of the data managed at the IRIS DMC. Finally IRIS has been identified as one of four scientific organizations that the External Research Division of Microsoft wants to work with in the development of web services and specifically with the development of a scientific workflow engine. More specific details of current and future developments at the IRIS DMC will be included in this presentation.

  19. Background Perchlorate Source Identification Technical Guidance

    DTIC Science & Technology

    2013-12-01

    Sciences Branch (Code 71752) of the Advanced Systems and Applied Sciences Division (Code 71700), Space and Naval Warfare Systems Center (SSC Pacific), San...Head Advanced Systems & Applied Sciences Division iii EXECUTIVE SUMMARY The objective of this document is to outline the approach, tools, and...Helium HMX Octahydro-1,3,5,7-Tetranitro-1,3,5,7- Tetrazocine IR Installation Restoration IRIS Integrated Risk Information System IR-MS Isotope-Ratio

  20. DOE Office of Scientific and Technical Information (OSTI.GOV)

    Bashor, B.S.

    The major resources used by the Bureau of Environment, and Environmental Epidemiology (EEP) for risk assessment are: the Integrated Risk Information System (IRIS), Health and Environmental Effects Summary Table (HEAST), Agency for Toxic Substances and disease Registry (ATSDR) Toxicological Profiles, databases at the National Library of Medicine (NLM), World Health Organization (WHO) ENvironmental Criteria, and documents that the Environmental Protection Agency (EPA) has published on Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) risk assessment activities. The Risk Assessment Review has been helpful in providing information about availability of new documents or information. No systematic method has been made availablemore » to us to locate information resources. IRIS User`s Support has been helpful in making appropriate and timely referrals. Most other EPA resources were located by serendipity and persistence. The CERCLA methodology for risk assessments is being used in environmental programs, and at present, one person is responsible for all risk assessment activities in the department, but plans are underway to train one or two people from each program area. 2 figs.« less

  1. A field study of the accuracy and reliability of a biometric iris recognition system.

    PubMed

    Latman, Neal S; Herb, Emily

    2013-06-01

    The iris of the eye appears to satisfy the criteria for a good anatomical characteristic for use in a biometric system. The purpose of this study was to evaluate a biometric iris recognition system: Mobile-Eyes™. The enrollment, verification, and identification applications were evaluated in a field study for accuracy and reliability using both irises of 277 subjects. Independent variables included a wide range of subject demographics, ambient light, and ambient temperature. A sub-set of 35 subjects had alcohol-induced nystagmus. There were 2710 identification and verification attempts, which resulted in 1,501,340 and 5540 iris comparisons respectively. In this study, the system successfully enrolled all subjects on the first attempt. All 277 subjects were successfully verified and identified on the first day of enrollment. None of the current or prior eye conditions prevented enrollment, verification, or identification. All 35 subjects with alcohol-induced nystagmus were successfully verified and identified. There were no false verifications or false identifications. Two conditions were identified that potentially could circumvent the use of iris recognitions systems in general. The Mobile-Eyes™ iris recognition system exhibited accurate and reliable enrollment, verification, and identification applications in this study. It may have special applications in subjects with nystagmus. Copyright © 2012 Forensic Science Society. Published by Elsevier Ireland Ltd. All rights reserved.

  2. Information Product Development: Data product life cycle links engineering, science, and applications

    NASA Astrophysics Data System (ADS)

    Stavros, E. N.; Owen, S. E.

    2016-12-01

    Information products are assimilated and used to: a) conduct scientific research and b) provide decision support for management and policy. For example, aboveground biomass (i.e. an information product) can be integrated into Earth system models to test hypotheses about the changing world, or used to inform decision-making with respect to natural resource management and policy. Production and dissemination of an information product is referred to as the data product life cycle, which includes: 1) identifying needed information from decision-makers and researchers, 2) engineering an instrument and collecting the raw physical measurements (e.g, number of photons returned), 3) the scientific algorithm(s) for processing the data into an observable (e.g., number of dying trees), and 4) the integration and utilization of that observables by researchers and decision-makers. In this talk, I will discuss the data product life cycle in detail and provide examples from the pre-Hyperspectral Infrared Imager (HyspIRI) airborne campaign and the upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission. Examples will focus on information products related to terrestrial ecosystems and natural resource management and will demonstrate that the key to providing information products for advancing scientific understanding and informing decision-makers, is the interdisciplinary integration of science, engineering and applied science - noting that applied science defines the wider impact and adoption of scientific principles by a wider community. As pre-HyspIRI airborne data is for research and development and NISAR is not yet launched, examples will include current plans for developing exemplar data products (from pre-HyspIRI) and the mission Applications Plan (for NISAR). Copyright 2016 California Institute of Technology. All Rights Reserved. We acknowledge support of the US Government, NASA, the Earth Science Division and Terrestrial Ecology program.

  3. Video-based noncooperative iris image segmentation.

    PubMed

    Du, Yingzi; Arslanturk, Emrah; Zhou, Zhi; Belcher, Craig

    2011-02-01

    In this paper, we propose a video-based noncooperative iris image segmentation scheme that incorporates a quality filter to quickly eliminate images without an eye, employs a coarse-to-fine segmentation scheme to improve the overall efficiency, uses a direct least squares fitting of ellipses method to model the deformed pupil and limbic boundaries, and develops a window gradient-based method to remove noise in the iris region. A remote iris acquisition system is set up to collect noncooperative iris video images. An objective method is used to quantitatively evaluate the accuracy of the segmentation results. The experimental results demonstrate the effectiveness of this method. The proposed method would make noncooperative iris recognition or iris surveillance possible.

  4. Sequences associated with human iris pigmentation.

    PubMed Central

    Frudakis, Tony; Thomas, Matthew; Gaskin, Zach; Venkateswarlu, K; Chandra, K Suresh; Ginjupalli, Siva; Gunturi, Sitaram; Natrajan, Sivamani; Ponnuswamy, Viswanathan K; Ponnuswamy, K N

    2003-01-01

    To determine whether and how common polymorphisms are associated with natural distributions of iris colors, we surveyed 851 individuals of mainly European descent at 335 SNP loci in 13 pigmentation genes and 419 other SNPs distributed throughout the genome and known or thought to be informative for certain elements of population structure. We identified numerous SNPs, haplotypes, and diplotypes (diploid pairs of haplotypes) within the OCA2, MYO5A, TYRP1, AIM, DCT, and TYR genes and the CYP1A2-15q22-ter, CYP1B1-2p21, CYP2C8-10q23, CYP2C9-10q24, and MAOA-Xp11.4 regions as significantly associated with iris colors. Half of the associated SNPs were located on chromosome 15, which corresponds with results that others have previously obtained from linkage analysis. We identified 5 additional genes (ASIP, MC1R, POMC, and SILV) and one additional region (GSTT2-22q11.23) with haplotype and/or diplotypes, but not individual SNP alleles associated with iris colors. For most of the genes, multilocus gene-wise genotype sequences were more strongly associated with iris colors than were haplotypes or SNP alleles. Diplotypes for these genes explain 15% of iris color variation. Apart from representing the first comprehensive candidate gene study for variable iris pigmentation and constituting a first step toward developing a classification model for the inference of iris color from DNA, our results suggest that cryptic population structure might serve as a leverage tool for complex trait gene mapping if genomes are screened with the appropriate ancestry informative markers. PMID:14704187

  5. Edge detection techniques for iris recognition system

    NASA Astrophysics Data System (ADS)

    Tania, U. T.; Motakabber, S. M. A.; Ibrahimy, M. I.

    2013-12-01

    Nowadays security and authentication are the major parts of our daily life. Iris is one of the most reliable organ or part of human body which can be used for identification and authentication purpose. To develop an iris authentication algorithm for personal identification, this paper examines two edge detection techniques for iris recognition system. Between the Sobel and the Canny edge detection techniques, the experimental result shows that the Canny's technique has better ability to detect points in a digital image where image gray level changes even at slow rate.

  6. Toxics Release Inventory Chemical Hazard Information Profiles (TRI-CHIP) Dataset

    EPA Pesticide Factsheets

    The Toxics Release Inventory (TRI) Chemical Hazard Information Profiles (TRI-CHIP) dataset contains hazard information about the chemicals reported in TRI. Users can use this XML-format dataset to create their own databases and hazard analyses of TRI chemicals. The hazard information is compiled from a series of authoritative sources including the Integrated Risk Information System (IRIS). The dataset is provided as a downloadable .zip file that when extracted provides XML files and schemas for the hazard information tables.

  7. IRiS: construction of ARG networks at genomic scales.

    PubMed

    Javed, Asif; Pybus, Marc; Melé, Marta; Utro, Filippo; Bertranpetit, Jaume; Calafell, Francesc; Parida, Laxmi

    2011-09-01

    Given a set of extant haplotypes IRiS first detects high confidence recombination events in their shared genealogy. Next using the local sequence topology defined by each detected event, it integrates these recombinations into an ancestral recombination graph. While the current system has been calibrated for human population data, it is easily extendible to other species as well. IRiS (Identification of Recombinations in Sequences) binary files are available for non-commercial use in both Linux and Microsoft Windows, 32 and 64 bit environments from https://researcher.ibm.com/researcher/view_project.php?id = 2303 parida@us.ibm.com.

  8. Anterior Segment Optical Coherence Tomography Angiography for Identification of Iris Vasculature and Staging of Iris Neovascularization: A Pilot Study.

    PubMed

    Roberts, Philipp K; Goldstein, Debra A; Fawzi, Amani A

    2017-08-01

    Purpose/Aim of the study: To assess the ability of optical coherence tomographic angiography (OCTA) to visualize the normal iris vasculature as well as neovascularization of the iris (NVI). Study participants with healthy eyes, patients at risk of NVI development and patients with active or regressed NVI were consecutively included in this cross-sectional observational study. Imaging was performed using a commercially available OCTA system (RTVue- XR Avanti, Optovue Inc., Fremont, CA, USA). Abnormal iris vessels were graded on OCTA according to a modified clinical staging system and compared to slitlamp and gonioscopic findings. Fifty eyes of 26 study participants (16 healthy eyes, 19 eyes at risk, 15 eyes with different stages of NVI) were imaged using OCTA. In 11 out of 16 healthy eyes (69%) with light or moderately dark iris pigmentation, we observed physiological, radially aligned iris vasculature on OCTA imaging, which could not be visualized in five eyes (31%) with darkly pigmented irides. One eye in the "eyes at risk" group was diagnosed with NVI based on OCTA, which was not observed clinically. Fifteen eyes with clinically active or regressed NVI were imaged. Different stages of NVI could be differentiated by OCTA, corresponding well to an established clinical grading system. Four eyes showed regressed NVI by OCTA, not seen clinically, and were graded as a newly defined stage 4. This pilot clinical study showed that OCTA for imaging of the iris vasculature in health and disease is highly dependent on iris pigmentation. Fine, clinically invisible iris vessels can be visualized by OCTA in the very early stages as well as in the regressed stage of NVI.

  9. Anterior Segment Optical Coherence Tomography Angiography for Identification of Iris Vasculature and Staging of Iris Neovascularization: A Pilot Study

    PubMed Central

    Roberts, Philipp K.; Goldstein, Debra A.; Fawzi, Amani A.

    2017-01-01

    Purpose/Aim of the study To assess the ability of optical coherence tomographic angiography (OCTA) to visualize the normal iris vasculature as well as neovascularization of the iris (NVI). Materials and Methods Study participants with healthy eyes, patients at risk of NVI development and patients with active or regressed NVI were consecutively included in this cross-sectional observational study. Imaging was performed using a commercially available OCTA system (RTVue- XR Avanti, Optovue Inc., Fremont, CA, USA). Abnormal iris vessels were graded on OCTA according to a modified clinical staging system and compared to slitlamp and gonioscopic findings. Results Fifty eyes of 26 study participants (16 healthy eyes, 19 eyes at risk, 15 eyes with different stages of NVI) were imaged using OCTA. In 11 out of 16 healthy eyes (69%) with light or moderately dark iris pigmentation, we observed physiological, radially aligned iris vasculature on OCTA imaging, which could not be visualized in five eyes (31%) with darkly pigmented irides. One eye in the “eyes at risk” group was diagnosed with NVI based on OCTA, which was not observed clinically. Fifteen eyes with clinically active or regressed NVI were imaged. Different stages of NVI could be differentiated by OCTA, corresponding well to an established clinical grading system. Four eyes showed regressed NVI by OCTA, not seen clinically, and were graded as a newly defined stage 4. Conclusions This pilot clinical study showed that OCTA for imaging of the iris vasculature in health and disease is highly dependent on iris pigmentation. Fine, clinically invisible iris vessels can be visualized by OCTA in the very early stages as well as in the regressed stage of NVI. PMID:28441067

  10. IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors

    PubMed Central

    Arsalan, Muhammad; Naqvi, Rizwan Ali; Kim, Dong Seop; Nguyen, Phong Ha; Owais, Muhammad; Park, Kang Ryoung

    2018-01-01

    The recent advancements in computer vision have opened new horizons for deploying biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition is now much needed in unconstraint scenarios with accuracy. These environments make the acquired iris image exhibit occlusion, low resolution, blur, unusual glint, ghost effect, and off-angles. The prevailing segmentation algorithms cannot cope with these constraints. In addition, owing to the unavailability of near-infrared (NIR) light, iris recognition in visible light environment makes the iris segmentation challenging with the noise of visible light. Deep learning with convolutional neural networks (CNN) has brought a considerable breakthrough in various applications. To address the iris segmentation issues in challenging situations by visible light and near-infrared light camera sensors, this paper proposes a densely connected fully convolutional network (IrisDenseNet), which can determine the true iris boundary even with inferior-quality images by using better information gradient flow between the dense blocks. In the experiments conducted, five datasets of visible light and NIR environments were used. For visible light environment, noisy iris challenge evaluation part-II (NICE-II selected from UBIRIS.v2 database) and mobile iris challenge evaluation (MICHE-I) datasets were used. For NIR environment, the institute of automation, Chinese academy of sciences (CASIA) v4.0 interval, CASIA v4.0 distance, and IIT Delhi v1.0 iris datasets were used. Experimental results showed the optimal segmentation of the proposed IrisDenseNet and its excellent performance over existing algorithms for all five datasets. PMID:29748495

  11. IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors.

    PubMed

    Arsalan, Muhammad; Naqvi, Rizwan Ali; Kim, Dong Seop; Nguyen, Phong Ha; Owais, Muhammad; Park, Kang Ryoung

    2018-05-10

    The recent advancements in computer vision have opened new horizons for deploying biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition is now much needed in unconstraint scenarios with accuracy. These environments make the acquired iris image exhibit occlusion, low resolution, blur, unusual glint, ghost effect, and off-angles. The prevailing segmentation algorithms cannot cope with these constraints. In addition, owing to the unavailability of near-infrared (NIR) light, iris recognition in visible light environment makes the iris segmentation challenging with the noise of visible light. Deep learning with convolutional neural networks (CNN) has brought a considerable breakthrough in various applications. To address the iris segmentation issues in challenging situations by visible light and near-infrared light camera sensors, this paper proposes a densely connected fully convolutional network (IrisDenseNet), which can determine the true iris boundary even with inferior-quality images by using better information gradient flow between the dense blocks. In the experiments conducted, five datasets of visible light and NIR environments were used. For visible light environment, noisy iris challenge evaluation part-II (NICE-II selected from UBIRIS.v2 database) and mobile iris challenge evaluation (MICHE-I) datasets were used. For NIR environment, the institute of automation, Chinese academy of sciences (CASIA) v4.0 interval, CASIA v4.0 distance, and IIT Delhi v1.0 iris datasets were used. Experimental results showed the optimal segmentation of the proposed IrisDenseNet and its excellent performance over existing algorithms for all five datasets.

  12. Provisional Peer-Reviewed Toxicity Values for Acenaphthene

    EPA Science Inventory

    A Provisional Peer-Reviewed Toxicity Values (PPRTV) is defined as a toxicity value derived for use in the Superfund Program when such a value is not available from EPA’s Integrated Risk Information System (IRIS) Database. PPRTVs are developed according to a Standard Operating Pr...

  13. Secure and Robust Iris Recognition Using Random Projections and Sparse Representations.

    PubMed

    Pillai, Jaishanker K; Patel, Vishal M; Chellappa, Rama; Ratha, Nalini K

    2011-09-01

    Noncontact biometrics such as face and iris have additional benefits over contact-based biometrics such as fingerprint and hand geometry. However, three important challenges need to be addressed in a noncontact biometrics-based authentication system: ability to handle unconstrained acquisition, robust and accurate matching, and privacy enhancement without compromising security. In this paper, we propose a unified framework based on random projections and sparse representations, that can simultaneously address all three issues mentioned above in relation to iris biometrics. Our proposed quality measure can handle segmentation errors and a wide variety of possible artifacts during iris acquisition. We demonstrate how the proposed approach can be easily extended to handle alignment variations and recognition from iris videos, resulting in a robust and accurate system. The proposed approach includes enhancements to privacy and security by providing ways to create cancelable iris templates. Results on public data sets show significant benefits of the proposed approach.

  14. Antigen-Specific Interferon-Gamma Responses and Innate Cytokine Balance in TB-IRIS

    PubMed Central

    Goovaerts, Odin; Jennes, Wim; Massinga-Loembé, Marguerite; Ceulemans, Ann; Worodria, William; Mayanja-Kizza, Harriet; Colebunders, Robert; Kestens, Luc

    2014-01-01

    Background Tuberculosis-associated immune reconstitution inflammatory syndrome (TB-IRIS) remains a poorly understood complication in HIV-TB patients receiving antiretroviral therapy (ART). TB-IRIS could be associated with an exaggerated immune response to TB-antigens. We compared the recovery of IFNγ responses to recall and TB-antigens and explored in vitro innate cytokine production in TB-IRIS patients. Methods In a prospective cohort study of HIV-TB co-infected patients treated for TB before ART initiation, we compared 18 patients who developed TB-IRIS with 18 non-IRIS controls matched for age, sex and CD4 count. We analyzed IFNγ ELISpot responses to CMV, influenza, TB and LPS before ART and during TB-IRIS. CMV and LPS stimulated ELISpot supernatants were subsequently evaluated for production of IL-12p70, IL-6, TNFα and IL-10 by Luminex. Results Before ART, all responses were similar between TB-IRIS patients and non-IRIS controls. During TB-IRIS, IFNγ responses to TB and influenza antigens were comparable between TB-IRIS patients and non-IRIS controls, but responses to CMV and LPS remained significantly lower in TB-IRIS patients. Production of innate cytokines was similar between TB-IRIS patients and non-IRIS controls. However, upon LPS stimulation, IL-6/IL-10 and TNFα/IL-10 ratios were increased in TB-IRIS patients compared to non-IRIS controls. Conclusion TB-IRIS patients did not display excessive IFNγ responses to TB-antigens. In contrast, the reconstitution of CMV and LPS responses was delayed in the TB-IRIS group. For LPS, this was linked with a pro-inflammatory shift in the innate cytokine balance. These data are in support of a prominent role of the innate immune system in TB-IRIS. PMID:25415590

  15. Trichloroethylene

    Integrated Risk Information System (IRIS)

    Trichloroethylene ; CASRN 79 - 01 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  16. Dichlorodifluoromethane

    Integrated Risk Information System (IRIS)

    Dichlorodifluoromethane ; CASRN 75 - 71 - 8 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcino

  17. Pentafluoroethane

    Integrated Risk Information System (IRIS)

    Pentafluoroethane ; CASRN 354 - 33 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  18. Monochloramine

    Integrated Risk Information System (IRIS)

    Monochloramine ; CASRN 10599 - 90 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  19. Tetrachlorocyclopentadiene

    Integrated Risk Information System (IRIS)

    Tetrachlorocyclopentadiene ; CASRN 695 - 77 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncar

  20. Bromochloromethane

    Integrated Risk Information System (IRIS)

    Bromochloromethane ; CASRN 74 - 97 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  1. Pentachlorobenzene

    Integrated Risk Information System (IRIS)

    Pentachlorobenzene ; CASRN 608 - 93 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogeni

  2. Chlorocyclopentadiene

    Integrated Risk Information System (IRIS)

    Chlorocyclopentadiene ; CASRN 41851 - 50 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcin

  3. Tribromochloromethane

    Integrated Risk Information System (IRIS)

    Tribromochloromethane ; CASRN 594 - 15 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinog

  4. Trichlorofluoromethane

    Integrated Risk Information System (IRIS)

    Trichlorofluoromethane ; CASRN 75 - 69 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinog

  5. Dibromochloromethane

    Integrated Risk Information System (IRIS)

    Dibromochloromethane ; CASRN 124 - 48 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinoge

  6. Trichlorocyclopentadiene

    Integrated Risk Information System (IRIS)

    Trichlorocyclopentadiene ; CASRN 77323 - 84 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncar

  7. Bromodichloromethane

    Integrated Risk Information System (IRIS)

    Bromodichloromethane ; CASRN 75 - 27 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogen

  8. Pentachlorocyclopentadiene

    Integrated Risk Information System (IRIS)

    Pentachlorocyclopentadiene ; CASRN 25329 - 35 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Nonc

  9. Dibromodichloromethane

    Integrated Risk Information System (IRIS)

    Dibromodichloromethane ; CASRN 594 - 18 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcino

  10. Bromotrichloromethane

    Integrated Risk Information System (IRIS)

    Bromotrichloromethane ; CASRN 75 - 62 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinoge

  11. Methacrylonitrile

    Integrated Risk Information System (IRIS)

    Methacrylonitrile ; CASRN 126 - 98 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  12. Chlorodifluoromethane

    Integrated Risk Information System (IRIS)

    Chlorodifluoromethane ; CASRN 75 - 45 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinoge

  13. Hexachlorobenzene

    Integrated Risk Information System (IRIS)

    Hexachlorobenzene ; CASRN 118 - 74 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  14. Tetrachlorovinphos

    Integrated Risk Information System (IRIS)

    Tetrachlorovinphos ; CASRN 961 - 11 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogeni

  15. Pentachlorophenol

    Integrated Risk Information System (IRIS)

    Pentachlorophenol ; CASRN 87 - 86 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  16. Tetraethyldithiopyrophosphate

    Integrated Risk Information System (IRIS)

    Tetraethyldithiopyrophosphate ; CASRN 3689 - 24 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for No

  17. Hexachlorobutadiene

    Integrated Risk Information System (IRIS)

    Hexachlorobutadiene ; CASRN 87 - 68 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogeni

  18. Extended depth of field system for long distance iris acquisition

    NASA Astrophysics Data System (ADS)

    Chen, Yuan-Lin; Hsieh, Sheng-Hsun; Hung, Kuo-En; Yang, Shi-Wen; Li, Yung-Hui; Tien, Chung-Hao

    2012-10-01

    Using biometric signatures for identity recognition has been practiced for centuries. Recently, iris recognition system attracts much attention due to its high accuracy and high stability. The texture feature of iris provides a signature that is unique for each subject. Currently most commercial iris recognition systems acquire images in less than 50 cm, which is a serious constraint that needs to be broken if we want to use it for airport access or entrance that requires high turn-over rate . In order to capture the iris patterns from a distance, in this study, we developed a telephoto imaging system with image processing techniques. By using the cubic phase mask positioned front of the camera, the point spread function was kept constant over a wide range of defocus. With adequate decoding filter, the blurred image was restored, where the working distance between the subject and the camera can be achieved over 3m associated with 500mm focal length and aperture F/6.3. The simulation and experimental results validated the proposed scheme, where the depth of focus of iris camera was triply extended over the traditional optics, while keeping sufficient recognition accuracy.

  19. An Iris Segmentation Algorithm based on Edge Orientation for Off-angle Iris Recognition

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Karakaya, Mahmut; Barstow, Del R; Santos-Villalobos, Hector J

    Iris recognition is known as one of the most accurate and reliable biometrics. However, the accuracy of iris recognition systems depends on the quality of data capture and is negatively affected by several factors such as angle, occlusion, and dilation. In this paper, we present a segmentation algorithm for off-angle iris images that uses edge detection, edge elimination, edge classification, and ellipse fitting techniques. In our approach, we first detect all candidate edges in the iris image by using the canny edge detector; this collection contains edges from the iris and pupil boundaries as well as eyelash, eyelids, iris texturemore » etc. Edge orientation is used to eliminate the edges that cannot be part of the iris or pupil. Then, we classify the remaining edge points into two sets as pupil edges and iris edges. Finally, we randomly generate subsets of iris and pupil edge points, fit ellipses for each subset, select ellipses with similar parameters, and average to form the resultant ellipses. Based on the results from real experiments, the proposed method shows effectiveness in segmentation for off-angle iris images.« less

  20. Toward noncooperative iris recognition: a classification approach using multiple signatures.

    PubMed

    Proença, Hugo; Alexandre, Luís A

    2007-04-01

    This paper focuses on noncooperative iris recognition, i.e., the capture of iris images at large distances, under less controlled lighting conditions, and without active participation of the subjects. This increases the probability of capturing very heterogeneous images (regarding focus, contrast, or brightness) and with several noise factors (iris obstructions and reflections). Current iris recognition systems are unable to deal with noisy data and substantially increase their error rates, especially the false rejections, in these conditions. We propose an iris classification method that divides the segmented and normalized iris image into six regions, makes an independent feature extraction and comparison for each region, and combines each of the dissimilarity values through a classification rule. Experiments show a substantial decrease, higher than 40 percent, of the false rejection rates in the recognition of noisy iris images.

  1. Nitrite

    Integrated Risk Information System (IRIS)

    Nitrite ; CASRN 14797 - 65 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  2. Fenamiphos

    Integrated Risk Information System (IRIS)

    Fenamiphos ; CASRN 22224 - 92 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effe

  3. N-Nitrosodiethanolamine

    Integrated Risk Information System (IRIS)

    N - Nitrosodiethanolamine ; CASRN 1116 - 54 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncar

  4. Ally

    Integrated Risk Information System (IRIS)

    Ally ; CASRN 74223 - 64 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  5. Formaldehyde

    Integrated Risk Information System (IRIS)

    Formaldehyde ; CASRN 50 - 00 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  6. Ethylene diamine

    Integrated Risk Information System (IRIS)

    Ethylene diamine ; CASRN 107 - 15 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  7. 4-Aminopyridine

    Integrated Risk Information System (IRIS)

    4 - Aminopyridine ; CASRN 504 - 24 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  8. Nickel, soluble salts

    Integrated Risk Information System (IRIS)

    Nickel , soluble salts ; CASRN Various Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  9. Acetaldehyde

    Integrated Risk Information System (IRIS)

    Acetaldehyde ; CASRN 75 - 07 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  10. Cyanazine

    Integrated Risk Information System (IRIS)

    Cyanazine ; CASRN 21725 - 46 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  11. Carbonyl sulfide

    Integrated Risk Information System (IRIS)

    Carbonyl sulfide ; CASRN 463 - 58 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  12. Xylenes

    Integrated Risk Information System (IRIS)

    Xylenes ; CASRN 1330 - 20 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  13. Diazomethane

    Integrated Risk Information System (IRIS)

    Diazomethane ; CASRN 334 - 88 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effe

  14. Hydroquinone

    Integrated Risk Information System (IRIS)

    Hydroquinone ; CASRN 123 - 31 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effe

  15. Endosulfan

    Integrated Risk Information System (IRIS)

    Endosulfan ; CASRN 115 - 29 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effect

  16. Vanadium pentoxide

    Integrated Risk Information System (IRIS)

    Vanadium pentoxide ; CASRN 1314 - 62 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogen

  17. Styrene

    Integrated Risk Information System (IRIS)

    Styrene ; CASRN 100 - 42 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  18. Anthracene

    Integrated Risk Information System (IRIS)

    Anthracene ; CASRN 120 - 12 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effect

  19. Carbofuran

    Integrated Risk Information System (IRIS)

    Carbofuran ; CASRN 1563 - 66 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  20. Prometon

    Integrated Risk Information System (IRIS)

    Prometon ; CASRN 1610 - 18 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  1. Nickel subsulfide

    Integrated Risk Information System (IRIS)

    Nickel subsulfide ; CASRN 12035 - 72 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogen

  2. Aluminum phosphide

    Integrated Risk Information System (IRIS)

    Aluminum phosphide ; CASRN 20859 - 73 - 8 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinoge

  3. Rotenone

    Integrated Risk Information System (IRIS)

    Rotenone ; CASRN 83 - 79 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  4. Isoxaben

    Integrated Risk Information System (IRIS)

    Isoxaben ; CASRN 82558 - 50 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effect

  5. Simazine

    Integrated Risk Information System (IRIS)

    Simazine ; CASRN 122 - 34 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  6. N-Nitrosodiethylamine

    Integrated Risk Information System (IRIS)

    N - Nitrosodiethylamine ; CASRN 55 - 18 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcino

  7. Mepiquat chloride

    Integrated Risk Information System (IRIS)

    Mepiquat chloride ; CASRN 24307 - 26 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogen

  8. Fluometuron

    Integrated Risk Information System (IRIS)

    Fluometuron ; CASRN 2164 - 17 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effe

  9. Antimony

    Integrated Risk Information System (IRIS)

    Antimony ; CASRN 7440 - 36 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  10. Chlorine dioxide

    Integrated Risk Information System (IRIS)

    Chlorine dioxide ; CASRN 10049 - 04 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogeni

  11. Furmecyclox

    Integrated Risk Information System (IRIS)

    Furmecyclox ; CASRN 60568 - 05 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Eff

  12. Fluvalinate

    Integrated Risk Information System (IRIS)

    Fluvalinate ; CASRN 69409 - 94 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Eff

  13. Methyl parathion

    Integrated Risk Information System (IRIS)

    Methyl parathion ; CASRN 298 - 00 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  14. Tribromodiphenyl ether

    Integrated Risk Information System (IRIS)

    Tribromodiphenyl ether ; CASRN 49690 - 94 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarci

  15. Aldrin

    Integrated Risk Information System (IRIS)

    Aldrin ; CASRN 309 - 00 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  16. Strychnine

    Integrated Risk Information System (IRIS)

    Strychnine ; CASRN 57 - 24 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  17. Manganese

    Integrated Risk Information System (IRIS)

    Manganese ; CASRN 7439 - 96 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effect

  18. Imazaquin

    Integrated Risk Information System (IRIS)

    Imazaquin ; CASRN 81335 - 37 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  19. Epichlorohydrin

    Integrated Risk Information System (IRIS)

    Epichlorohydrin ; CASRN 106 - 89 - 8 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic E

  20. m-Dinitrobenzene

    Integrated Risk Information System (IRIS)

    m - Dinitrobenzene ; CASRN 99 - 65 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  1. Chlorothalonil

    Integrated Risk Information System (IRIS)

    Chlorothalonil ; CASRN 1897 - 45 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic E

  2. Baythroid

    Integrated Risk Information System (IRIS)

    Baythroid ; CASRN 68359 - 37 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  3. Acrylamide

    Integrated Risk Information System (IRIS)

    Acrylamide ; CASRN 79 - 06 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  4. Chlorine

    Integrated Risk Information System (IRIS)

    Chlorine ; CASRN 7782 - 50 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  5. Carbaryl

    Integrated Risk Information System (IRIS)

    Carbaryl ; CASRN 63 - 25 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  6. 4-Methylphenol

    Integrated Risk Information System (IRIS)

    4 - Methylphenol ; CASRN 106 - 44 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  7. Phenylmercuric acetate

    Integrated Risk Information System (IRIS)

    Phenylmercuric acetate ; CASRN 62 - 38 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinog

  8. Haloxyfop-methyl

    Integrated Risk Information System (IRIS)

    Haloxyfop - methyl ; CASRN 69806 - 40 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinoge

  9. Bentazon (Basagran)

    Integrated Risk Information System (IRIS)

    Bentazon ( Basagran ) ; CASRN 25057 - 89 - 0 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcin

  10. Cyanogen bromide

    Integrated Risk Information System (IRIS)

    Cyanogen bromide ; CASRN 506 - 68 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  11. Permethrin

    Integrated Risk Information System (IRIS)

    Permethrin ; CASRN 52645 - 53 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effe

  12. Butylphthalyl butylglycolate (BPBG)

    Integrated Risk Information System (IRIS)

    Butylphthalyl butylglycolate ( BPBG ) ; CASRN 85 - 70 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments

  13. beta-Propiolactone

    Integrated Risk Information System (IRIS)

    beta - Propiolactone ; CASRN 57 - 57 - 8 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogen

  14. Biphenthrin

    Integrated Risk Information System (IRIS)

    Biphenthrin ; CASRN 82657 - 04 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Eff

  15. Fluridone

    Integrated Risk Information System (IRIS)

    Fluridone ; CASRN 59756 - 60 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  16. beta-Chloronaphthalene

    Integrated Risk Information System (IRIS)

    beta - Chloronaphthalene ; CASRN 91 - 58 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcin

  17. Quinoline

    Integrated Risk Information System (IRIS)

    Quinoline ; CASRN 91 - 22 - 5 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  18. Asbestos

    Integrated Risk Information System (IRIS)

    Asbestos ; CASRN 1332 - 21 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  19. Propham

    Integrated Risk Information System (IRIS)

    Propham ; CASRN 122 - 42 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  20. Zineb

    Integrated Risk Information System (IRIS)

    Zineb ; CASRN 12122 - 67 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  1. Hexabromobenzene

    Integrated Risk Information System (IRIS)

    Hexabromobenzene ; CASRN 87 - 82 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic E

  2. Aramite

    Integrated Risk Information System (IRIS)

    Aramite ; CASRN 140 - 57 - 8 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  3. Furan

    Integrated Risk Information System (IRIS)

    Furan ; CASRN 110 - 00 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects ) a

  4. Bromobenzene

    Integrated Risk Information System (IRIS)

    Bromobenzene ; CASRN 108 - 86 - 1 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effe

  5. Maneb

    Integrated Risk Information System (IRIS)

    Maneb ; CASRN 12427 - 38 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  6. Benomyl

    Integrated Risk Information System (IRIS)

    Benomyl ; CASRN 17804 - 35 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  7. Dichloroacetic acid

    Integrated Risk Information System (IRIS)

    Dichloroacetic acid ; CASRN 79 - 43 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogeni

  8. Acenaphthylene

    Integrated Risk Information System (IRIS)

    Acenaphthylene ; CASRN 208 - 96 - 8 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Ef

  9. Aniline

    Integrated Risk Information System (IRIS)

    Aniline ; CASRN 62 - 53 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  10. Parathion

    Integrated Risk Information System (IRIS)

    Parathion ; CASRN 56 - 38 - 2 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  11. Creosote

    Integrated Risk Information System (IRIS)

    Creosote ; CASRN 8001 - 58 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  12. Acenaphthene

    Integrated Risk Information System (IRIS)

    Acenaphthene ; CASRN 83 - 32 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effec

  13. Propargyl alcohol

    Integrated Risk Information System (IRIS)

    Propargyl alcohol ; CASRN 107 - 19 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic

  14. Methamidophos

    Integrated Risk Information System (IRIS)

    Methamidophos ; CASRN 10265 - 92 - 6 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic E

  15. Cyclohexylamine

    Integrated Risk Information System (IRIS)

    Cyclohexylamine ; CASRN 108 - 91 - 8 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic E

  16. Chloroform

    Integrated Risk Information System (IRIS)

    Chloroform ; CASRN 67 - 66 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  17. Quinone

    Integrated Risk Information System (IRIS)

    Quinone ; CASRN 106 - 51 - 4 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects )

  18. Dicamba

    Integrated Risk Information System (IRIS)

    Dicamba ; CASRN 1918 - 00 - 9 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

  19. Benzotrichloride

    Integrated Risk Information System (IRIS)

    Benzotrichloride ; CASRN 98 - 07 - 7 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic E

  20. Endothall

    Integrated Risk Information System (IRIS)

    Endothall ; CASRN 145 - 73 - 3 Human health assessment information on a chemical substance is included in the IRIS database only after a comprehensive review of toxicity data , as outlined in the IRIS assessment development process . Sections I ( Health Hazard Assessments for Noncarcinogenic Effects

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