Biographical Sketch Sample Clauses

Biographical Sketch. Existing curricula vitae of project staff members may be used if they are updated and contain all items of information requested below. You may add any information items listed below to complete existing documents. For development of new curricula vitae include items below in the most suitable format: Name of staff member Educational background: school(s), location, dates attended, degrees earned (specify year), major field of study Professional experience Recent relevant publications Title of position Description of duties and responsibilities Qualifications for position Supervisory relationships Skills and knowledge required Amount of travel and any other special conditions or requirements Salary range Hours per day or week Appendix H – Addressing Behavioral Health Disparities SAMHSA expects recipients to submit a Behavioral Disparity Impact Statement (DIS) within 60 days of receiving the grant award. The DIS is a data-driven, quality improvement effort to ensure under-resourced populations are addressed in the grant. The DIS is built on the required GPRA data such that no additional data collection is required. It is expected that the DIS will be no more than two pages in length. The DIS consists of three components: Number of individuals to be served during the grant period and identify under-resourced population(s) (i.e., racial, ethnic, sexual, and gender minority groups) vulnerable to behavioral health disparities. A quality improvement plan to address under-resourced population differences based on the GPRA data on access, use and outcomes of service activities. Methods for the development of policies and procedures to ensure adherence to the Behavioral Health Implementation Guide for the National Standards for Culturally and Linguistically Appropriate Services (CLAS) in Health and Health Care. As part of SAMHSA’s Disparity Impact Statement requirements, include the number of unduplicated individuals to be served by under-resourced populations in the grant implementation area provided in a table that covers the entire grant period. The under-resourced population(s) should be identified in a narrative that includes a description of the population and a rationale for how the determination was made. Include demographic data and an environmental scan of the population(s) of focus. For data about your population(s) of focus, refer to ▇▇▇▇▇://▇▇▇.▇▇▇▇▇▇.▇▇▇/about/partners/cic.html. Indicate what the disparity(ies) is and how your services and activities ...
Biographical Sketch. Give the following information for professional personnel and consultants beginning with the Principal Investigator. Please do not exceed 2 pages per individual. Copy this page for each additional person.
Biographical Sketch. ▇▇▇▇▇▇▇▇ Madras received his Chemical Engineering Degree from the Indian Institute of Technology at Madras in 1990. He subsequently obtained his PhD degree in Chemical Engineering from Texas A&M University, USA, in 1994. He then worked in the University of California at Davis, USA. He returned to India as an Assistant Professor of chemical engineering at the Indian Institute of Science, Bangalore, in 1998. Since 2007, he has been a Professor at the Chemical Engineering Department, and is currently the Chairman of the National Center of Scientific Information. He received the Scopus Young Scientist Award from Elsevier for being the most cited young author in engineering. He was awarded the Presidential Swarnajayanthi Fellowship by the Department of Science and Technology, India, in 2006 and the ▇. ▇. ▇▇▇▇▇▇▇▇▇ Prize from CSIR, India, in 2009 for his contributions to the field of engineering. He has published more than 225 international journal articles, which have more than 2500 citations with high index of 27. He is listed by Web of Science as among the top 1% of all scientists in the world based on citations. He is currently a member of the Editorial Board of several journals including Current Science and International Journal of Polymer Science. His research interests are in the areas of polymers, supercritical fluids, catalysis and reaction engineering. shown the lipase specificity for the hydrolysis and degradation of polymers and determined the fundamental rate coefficients for these processes. This novel research has led to the development of techniques for the degradation of polymers under microwave radiation. Because the temperature in a microwave varies with reaction time, the Indian scientists have developed a complex population balance equation method to determine the rate coefficients and proved that degradation occurs not because of temperature but due to enhanced transport properties and the flash heating that occurs in microwaves. Contrary to conventional wisdom, Dr Madras’s group has shown, for the first time, that even if two polymers in a blend or mixture or as a copolymer may show enhanced mechanical strength, it may show lower stability towards thermal degradation in solution. Combo processes, arising from a combination of two discrete processes, such as combined ultrasonic and ultraviolet exposure, provide a new technique to degrade polymers. The experimental set-up is challenging and the modeling of these phenomena is also challenging...
Biographical Sketch. ▇▇. ▇▇▇▇▇▇ ▇▇▇▇▇▇▇ is a Professor in the Supercomputer Education & Research Centre and in the Department of Computer Science & Automation at the Indian Institute of Science, Bangalore, which he joined in 1992. He received the ▇.▇▇▇▇. degree in Electronics and Communications Engineering from the Indian Institute of Technology (Madras) in 1985, and the MS and PhD degrees in Computer Science from the University of Wisconsin (Madison) in 1987 and 1991, respectively. He has held visiting positions at the University of Maryland (College Park)
Biographical Sketch. ▇▇▇▇▇▇ ▇▇▇▇▇▇ ▇▇▇▇▇▇ (1848-1930) was born 29 August 1848 in Leesburg, Virginia, to ▇▇▇▇ ▇▇▇▇▇▇ (1811-1905) and ▇▇▇▇▇▇ ▇▇▇▇▇▇ ▇▇▇▇▇▇ (1814-1886). He and his twin brother, ▇▇▇▇▇▇ ▇▇▇▇▇▇ (1848-1933), were the youngest of eight children. Several of his older siblings served in the Confederate Army, including his brother ▇▇▇▇▇▇▇ who was killed at the First Battle of Manassas (Bull Run). ▇▇▇▇▇▇ graduated from the Virginia Military Institute in 1870 and worked as an architect and ▇▇▇▇▇▇▇▇▇, usually for the family construction business, ▇▇▇▇▇▇ and Sons. In 1888 ▇▇▇▇▇▇ married ▇▇▇▇ ▇▇▇▇▇▇▇▇▇ ▇▇▇▇▇▇ (1856-1904) also of Leesburg. By November 1889 they had relocated to Washington, DC, and had a child named Hannah. Here, ▇▇▇▇▇▇ continued to work as an architect in both private practice and for the government of the District of Columbia. Buildings designed by him that are still in use include the ▇▇▇▇▇▇▇▇▇ ▇▇▇▇▇▇ ▇▇▇▇ School in the Bloomingdale neighborhood of Northwest DC and ▇▇▇▇▇ Stable, located in the Dupont Circle Neighborhood. Both are included on the National Register of Historic Places. SOURCES Ancestry Library Edition, United States Census, ▇▇▇▇://▇▇▇.▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇.▇▇▇. [accessed 18 December 2018].
Biographical Sketch. Complete for each PI and co-investigator. Do not exceed two pages for each. Each PI may use its own organization’s preferred format (NSF, NIH, or SwRI PDS) and content for their biographical sketch for this Connect proposal.

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  • Bibliography [ABD16] ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇, ▇▇▇ ▇▇▇, and ▇▇▇ ▇▇▇▇▇. A subfield lattice attack on overstretched NTRU assumptions. In: Springer, 2016, pages 153–178. [AD21] ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇ and ▇▇▇ ▇▇▇▇▇. Lattice Attacks on NTRU and LWE: A History of Refinements. In: Compu- tational Cryptography: Algorithmic Aspects of Cryptol- ogy. London Mathematical Society Lecture Note Series. Cambridge University Press, 2021, pages 15–40. [ADPS16] ▇▇▇▇▇ ▇▇▇▇▇, ▇▇▇ ▇▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇, and Pe- ter ▇▇▇▇▇▇▇. Post-quantum Key Exchange–A New Hope. In: 2016, pages 327–343. [AEN19] ▇▇▇▇▇▇▇▇▇ ▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇▇▇▇, and ▇▇▇▇▇ ▇. ▇▇▇▇▇▇. Random Lattices: Theory And Practice. Available at ▇▇▇▇▇://▇▇▇▇▇▇▇.▇▇▇▇▇▇.▇▇/bin/random_lattice. pdf. 2019. [AFG13] ▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇▇, and ▇▇▇▇▇▇▇ ▇▇▇▇▇▇▇. On the efficacy of solving LWE by reduction to unique-SVP. In: Springer, 2013, pages 293–310. [AGPS20] ▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇, ▇▇▇▇ ▇▇▇▇▇▇▇▇▇, ▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇▇▇▇▇▇, and ▇▇▇▇ ▇. ▇▇▇▇▇▇▇. Estimating quan- tum speedups for lattice sieves. In: Springer, 2020, pages 583–613. [AGVW17] ▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇, ▇▇▇▇▇▇▇ ▇▇▇▇▇▇▇, ▇▇▇▇▇▇▇▇ ▇▇▇▇▇▇, and ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇. Revisiting the expected cost of solving uSVP and applications to LWE. In: International Conference on the Theory and Application of Cryptology and Information Security. Springer. 2017, pages 297–322. [Ajt99] ▇▇▇▇▇▇ ▇▇▇▇▇. Generating Hard Instances of the Short Basis Problem. In: ICALP. 1999, pages 1–9. [AKS01] ▇▇▇▇▇▇ ▇▇▇▇▇, ▇▇▇▇ ▇▇▇▇▇, and ▇. ▇▇▇▇▇▇▇▇▇. A sieve algorithm for the shortest lattice vector problem. In: STOC. 2001, pages 601–610. [AL22] ▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇ and ▇▇▇▇▇▇▇ ▇▇. Predicting BKZ Z- Shapes on q-ary Lattices. Cryptology ePrint Archive, Re- port 2022/843. 2022. [Alb+15] ▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇, ▇▇▇▇-▇▇▇▇▇▇▇ ▇▇▇▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇▇, and ▇▇▇▇▇▇▇ ▇▇▇▇▇▇. On the complex- ity of the BKW algorithm on LWE. In: Designs, Codes and Cryptography 74.2 (2015), pages 325–354. [Alb+19] ▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇, ▇▇▇ ▇▇▇▇▇, ▇▇▇▇▇▇▇▇▇ ▇▇▇▇▇▇, ▇▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇, ▇▇▇▇▇▇ ▇ ▇▇▇▇▇▇▇▇▇▇▇▇▇, and ▇▇▇▇ ▇▇▇▇▇▇▇. The general sieve kernel and new records in lattice reduction. In: Annual International Conference on the Theory and Applications of Cryptographic Tech- niques. Springer. 2019, pages 717–746. [ALL19] ▇▇▇▇▇▇▇ ▇▇▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇, and ▇▇▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇. Decoding Challenge. Available at http : / / ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇.▇▇▇. 2019. [AN17] ▇▇▇▇▇▇▇▇▇ ▇▇▇▇ and ▇▇▇▇▇ ▇. ▇▇▇▇▇▇. Random ▇▇▇- ▇▇▇▇▇ revisited: lattice enumeration with discrete prun- ing. In: Eurocrypt. 2017, pages 65–102. [ANS18] ▇▇▇▇▇▇▇▇▇ ▇▇▇▇, ▇▇▇▇▇ ▇. ▇▇▇▇▇▇, and ▇▇▇▇▇ ▇▇▇▇. Quantum lattice enumeration and tweaking discrete pruning. In: Asiacrypt. 2018, pages 405–434. [AP11] ▇▇▇▇ ▇▇▇▇▇ and ▇▇▇▇▇ ▇▇▇▇▇▇▇. Generating Shorter Bases for Hard Random Lattices. In: Theory of Computing Sys- tems 48.3 (Apr. 2011). Preliminary version in STACS 2009, pages 535–553. [AR05] ▇▇▇▇▇ ▇▇▇▇▇▇▇▇ and ▇▇▇▇ ▇▇▇▇▇. Lattice problems in NP coNP. In: J. ACM 52.5 (2005). Preliminary version in FOCS 2004, pages 749–765. [AUV19] ▇▇▇▇▇▇ ▇▇▇▇▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇, and ▇▇▇▇▇ ▇▇▇▇▇▇▇▇. Faster sieving algorithm for approximate SVP with con- stant approximation factors. Cryptology ePrint Archive, Report 2019/1028. 2019. [AWHT16] ▇▇▇▇▇▇▇▇▇ ▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇, ▇▇▇▇▇▇ ▇▇▇▇▇▇▇, and ▇▇▇▇▇▇▇▇ ▇▇▇▇▇▇. Improved progressive BKZ algorithms and their precise cost estimation by sharp simulator. In: Springer, 2016, pages 789–819. [Bab16] ▇▇▇▇▇▇ ▇▇▇▇▇. Graph isomorphism in quasipolynomial time. In: Proceedings of the forty-eighth annual ACM symposium on Theory of Computing. 2016, pages 684– 697. [Bab19] ▇▇▇▇▇▇ ▇▇▇▇▇. Canonical form for graphs in quasipolyno- mial time: preliminary report. In: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Com- puting. 2019, pages 1237–1246. [Bab86] ▇▇▇▇▇▇ ▇▇▇▇▇. On ▇▇▇▇▇▇’ lattice reduction and the near- est lattice point problem. In: Combinatorica 6.1 (1986). Preliminary version in STACS 1985, pages 1–13.

  • Images If applicable, the CONSULTANT is prohibited from capturing on any visual medium images of any property, logo, student, or employee of the DISTRICT, or any image that represents the DISTRICT without express written consent from the DISTRICT.

  • Prospectuses and Marketing Materials We shall furnish you without charge reasonable quantities of offering Prospectuses (including any supplements currently in effect), current shareholder reports of the Funds, and sales materials issued by us from time to time. In the purchase of shares through us, you are entitled to rely only on the information contained in the offering Prospectus(es). You may not publish any advertisement or distribute sales literature or other written material to the public that makes reference to us or any of the Funds (except material that we furnished to you) without our prior written approval.

  • Artwork Licensee must use the Java Logo(s) only in the exact form of approved camera-ready artwork or electronic artwork received from Oracle or Oracle's designee.

  • Topographic Survey The Professional shall obtain a topographic and utility survey as described below. 4.1.1. The Professional shall tie in all existing surface topographic features and structures within the survey limits shown in Figure 1. This survey shall include: tops of curbs, edges of pavement, pavement materials, driveways, sidewalks, retaining walls, drainage structures (top, edges and flow line), channels and drainage ways (tops, toes and flow line), manholes (rim, flow lines and diameters of pipes, type of material and photographs of the inside of manholes and drainage structures), including the same survey data for upstream and downstream manholes and structures that are outside of the survey limits for all gravity wastewater and drainage lines within the survey limits. Visible valves, meters, clean-outs, slabs, utility signs, utility poles and structures, fences, landscaping features, shrubbery, trees (including the approximate drip-line), tree canopies, buildings (edges within the survey limits) mailboxes, etc. Trees shall be tagged and tabulated by size and species specific in compliance with the City of New Braunfels Tree Preservation ordinance as defined in the City of New Braunfels Zoning Ordinance Chapter 5.3- 5i. The survey limits shall extend approximately 100 feet on intersecting streets. The Professional shall provide sufficient ground shots to create one (1) foot contours for the Project. 4.1.2. The Professional shall conduct a utility survey and locate existing utilities within the Project boundary in Figure 1. The Professional shall contact all utility service providers by calling Texas 811 and the NBU Project Manager to coordinate flagging of existing franchise utilities. The Professional shall request drawings of existing agency and municipal owned utilities and shall include locations of these utilities in the survey. The Professional shall tie in the locations of the discovered utilities on the survey. The Professional shall bear all costs for the Services associated with utility locates. 4.1.3. The Professional shall locate up to ten (10) geotechnical borings and tie them in to the Project survey. 4.1.4. The Professional shall set and install control points and/or benchmarks as required for the survey work (minimum 1-foot intervals). The Professional shall provide horizontal and vertical coordinates of the benchmarks in the required coordinate system and datum and show the benchmarks on the survey drawing. 4.1.5. The Professional shall research and review adjoining plats and deeds along the survey corridor. The Professional shall locate property corners and identify existing right of way (“ROW”), along the survey corridor, based on found monuments and record documents.