IN THE SUPREME COURT OF THE STATE OF NEVADA ADKT 0474 IN THE MATTER OF ASSIGNMENT OF CASES IN THE FAMILY DIVISION OF

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COMMONWEALTH OF KENTUCKY BEFORE THE PUBLIC SERVICE COMMISSION In the Matter of: APPLICATION OF BIG RIVERS ELECTRIC CORPORATION FOR AN ADJUSTMENT OF

Source URL: psc.ky.gov

• D.B. Wilson Generating Station
• Kenneth C. Coleman Generating Station
• Rivers State

IN THE SUPREME COURT OF THE STATE OF NEVADA IN THE MATTER OF ELECTRONIC FILING AND SERVICE AND ELECTRONIC SIGNATURES. ADKT No. 468

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Improvements of Snow Simulations in the Weather Research and Forecasting Model Jiming Jin and Lijuan Wen Departments of Watershed Sciences and Plants, Soils, and Climate, Utah State University, Logan, Utah

Source URL: www2.mmm.ucar.edu

• Matter
• Water
• Hydrology
• Nature
• Hydraulic engineering
• Environmental engineering
• Environmental science
• Physical geography
• Snow

IN THE SUPREME COURT, STATE OF WYOMING OCTOBER TERM, A.DIN THE MATTER OF THE ADOPTION OF ) AMENDMENTS TO RULE 5 OF THE RULES

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STATE OF CALIFORNIA BEFORE THE COMMISSION ON JUDICIAL PERFORMANCE IN THE MATTER CONCERNING

Source URL: www.cjp.ca.gov

• Legal procedure
• Law
• Judge
• Law enforcement
• Judicial disqualification
• Jury
• Philosophy of law

STATE OF MINNESOTA CAMPAIGN FINANCE AND PUBLIC DISCLOSURE BOARD Findings In The Matter of the Acceptance of a Prohibited Contribution During the 2009 Legislative Session By Minnesotans for Matt (Entenza) Summary of the F

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IN THE SUPREME COURT, STATE OF WYOMING OCTOBER TERM, A.D_______________________ In the Matter of Providing Electronic Transcripts

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Case 2:14-cvGW-FFM Document 58 FiledPage 1 of 23 Page ID #:

Source URL: www.usptotalk.com

• Patent law
• Alice Corp. v. CLS Bank International
• Bilski v. Kappos
• Patentable subject matter
• Gottschalk v. Benson
• United States patent law
• Mayo Collaborative Services v. Prometheus Laboratories
• Inc.
• Business method patent
• State Street Bank & Trust Co. v. Signature Financial Group
• Inc.

arXiv:1405.3564v1 [cond-mat.mtrl-sci] 14 MayAn Investigation of Machine Learning Methods Applied to Structure Prediction in Condensed Matter William J. Brouwer1,a James D. Kubicki,b Jorge O. Sofo,c C. Lee Gilesd a

Source URL: clgiles.ist.psu.edu

• Nuclear magnetic resonance
• Econometrics
• Spectroscopy
• Solid-state nuclear magnetic resonance
• Regression analysis
• Linear regression
• Nuclear magnetic resonance crystallography
• Residual dipolar coupling