pbalapra-presentations.bib
@periodical{Bal2020mcsahm,
author = {P. Balaprakash},
date-added = {2021-04-18 23:01:36 -0500},
date-modified = {2021-04-18 23:02:23 -0500},
howpublished = {MCS All Hands Meeting, Argonne, IL},
month = {January},
title = {{Neuromorphic acceleration for uncertainty quantification in deep neural networks}},
year = {2020}
}
@periodical{Bal2020siam,
author = {P. Balaprakash},
date-added = {2021-04-18 22:56:05 -0500},
date-modified = {2021-04-18 22:58:39 -0500},
howpublished = {Impacts of Applied Mathematics and Computer Science on DOE Computational Science, SIAM Conference on Computational Science and Engineering},
month = {March},
title = {In situ compression artifact removal in scientific data using deep transfer learning and experience replay},
year = {2021}
}
@periodical{Bal2019ldrd,
author = {P. Balaprakash},
date-added = {2021-04-18 22:48:24 -0500},
date-modified = {2021-04-18 22:53:59 -0500},
howpublished = {2019 LDRD Expedition, Argonne, IL},
title = {{Evaluating deep neural network to spiking neural networks transformation for DOE scientific applications on Intel Loihi}},
year = {2019}
}
@periodical{Bal2021ecp,
author = {P. Balaprakash},
date-added = {2021-04-18 22:47:06 -0500},
date-modified = {2021-04-18 22:47:06 -0500},
howpublished = {2021 ECP Annual Meeting},
month = {April},
title = {{Ytopt/SuRF: Machine-Learning-Based Search for Autotuning}},
year = {2021}
}
@periodical{Bal2021sci,
author = {P. Balaprakash},
date-added = {2021-04-18 22:40:53 -0500},
date-modified = {2021-04-18 22:42:01 -0500},
howpublished = {Sustainable Horizon Institute},
month = {March},
title = {Scientific Domain-Informed Machine Learning},
year = {2021}
}
@periodical{Bal2020alcfcp,
author = {P. Balaprakash},
date-added = {2021-04-18 22:35:33 -0500},
date-modified = {2021-04-18 22:35:33 -0500},
howpublished = {ALCF Computational Performance Workshop, Argonne, IL},
month = {May},
title = {{DeepHyper: A Hyperparameter Search Package for Deep Neural Networks}},
year = {2020}
}
@periodical{Bal2019alcfsdl,
author = {P. Balaprakash},
date-added = {2021-04-18 22:34:29 -0500},
date-modified = {2021-04-18 22:36:13 -0500},
howpublished = {ALCF Simulation, Data, and Learning Workshop, Argonne, IL},
month = {October},
title = {{DeepHyper: A Hyperparameter Search Package for Deep Neural Networks}},
year = {2019}
}
@periodical{Bal2020alcfsdl,
author = {P. Balaprakash},
date-added = {2021-04-18 22:32:36 -0500},
date-modified = {2021-04-18 22:33:11 -0500},
howpublished = {ALCF Simulation, Data, and Learning Workshop, Argonne, IL},
month = {December},
title = {{DeepHyper: A Hyperparameter Search Package for Deep Neural Networks}},
year = {2020}
}
@periodical{Bal2020b,
author = {P. Balaprakash},
date-added = {2021-04-18 22:23:13 -0500},
date-modified = {2021-04-18 22:23:13 -0500},
howpublished = {Panel, IEEE Cluster Workshop on Monitoring and Analsis for High Performance Computing Sytems Plus Applications (HPCMASPA)},
month = {September},
title = {Enabling ML approaches to HPC Systems Operations},
year = {2020}
}
@periodical{Bal2018ldrd,
author = {P. Balaprakash},
date-added = {2021-04-18 22:18:21 -0500},
date-modified = {2021-04-18 22:53:12 -0500},
howpublished = {2018 LDRD Expedition, Argonne, IL},
title = {{Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout}},
year = {2018}
}
@periodical{Bal2014ci,
author = {P. Balaprakash},
date-added = {2021-04-18 22:12:58 -0500},
date-modified = {2021-04-18 22:12:58 -0500},
howpublished = {Computation Institute, Argonne, IL},
month = {February},
title = {Active-Learning-based Surrogate Models for Empirical Performance Tuning},
year = {2012}
}
@periodical{Bal2012lans,
author = {P. Balaprakash},
date-added = {2021-04-18 22:11:29 -0500},
date-modified = {2021-04-18 22:11:29 -0500},
howpublished = {{LANS Informal Seminar}, Argonne, IL},
month = {February},
title = {Search Algorithms in Empirical Performance Tuning and Machine Learning for Computationally Expensive Simulations},
year = {2012}
}
@periodical{Bal2016alcf,
author = {P. Balaprakash},
date-added = {2021-04-18 22:10:05 -0500},
date-modified = {2021-04-18 22:13:56 -0500},
howpublished = {Argonne Leadership Computing Facility, Argonne, IL},
month = {June},
title = {{AutoMOMML: Automatic Multi-Objective Modeling with Machine Learning}},
year = {2016}
}
@misc{ZhaBalMenMorParKum2014bposter,
author = {Zhang, Yao and Balaprakash, Prasanna and Meng, Jiayuan and Morozov, Vitali and Parker, Scott and Kumaran, Kalyan},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {High Performance Computing, Networking, Storage and Analysis (SCC), 2014 SC},
note = {{Poster}},
title = {Raexplore: {E}nabling rapid, automated architecture exploration for full applications},
year = {2014}
}
@misc{GomBalBouWilCapHov2014bposter,
author = {Gomez, Leonardo A.Bautista and Balaprakash, Prasanna and Bouguerra, Mohamed-Slim and Wild, Stefan M. and Cappello, Franck and Hovland, Paul D.},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {2014 IEEE International Conference on Cluster Computing (CLUSTER)},
note = {{Poster}},
title = {{E}nergy-performance tradeoffs in multilevel checkpoint strategies},
year = {2014},
bdsk-url-1 = {http://dx.doi.org/10.1109/CLUSTER.2014.6968749}
}
@misc{BalWilHov2011cposter,
author = {P. Balaprakash and S. M. Wild and P. D. Hovland},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {2011 DOE Applied Mathematics Program Meeting},
note = {{Poster}},
title = {Model-based optimization algorithms for empirical performance tuning},
year = {2011}
}
@misc{BalTiwWil2013poster,
author = {P. Balaprakash and A. Tiwari and S. M. Wild},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {High Performance Computing, Networking, Storage and Analysis (SCC), 2013 SC},
note = {{Poster. Finalist for the best poster award}},
title = {Framework for Optimizing Power, Energy, and Performance},
year = {2013},
bdsk-url-1 = {http://www.super-scidac.org/sites/super-scidac.org/files/SUPERNEWSLETTERApril2014final_0.pdf}
}
@misc{BalMorKet2015poster,
author = {P. Balaprakash and V. Morozov and R. Kettimuthu},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {High Performance Computing, Networking, Storage and Analysis (SCC), 2015 SC},
note = {{Poster}},
title = {Improving throughput by dynamically adapting concurrency of data transfer},
year = {2015}
}
@misc{BalBunChaGuhGupNatChiHovNor2012bposter,
author = {Balaprakash, P. and Buntinas, D. and Chan, A. and Guha, A. and Gupta, R. and Narayanan, S.H.K. and Chien, A.A. and Hovland, P. and Norris, B.},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion},
note = {{Poster}},
title = {{A}n exascale workload study},
year = {2012},
bdsk-url-1 = {http://dx.doi.org/10.1109/SC.Companion.2012.261}
}
@misc{BalBunChaGhuChi2013cposter,
author = {Balaprakash, P. and Buntinas, D. and Chan, A. and Guha, A. and Gupta, R. and Narayanan, S.H.K. and Chien, A.A. and Hovland, P. and Norris, B.},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)},
note = {{Poster}},
title = {{E}xascale workload characterization and architecture implications},
year = {2013},
bdsk-url-1 = {http://dx.doi.org/10.1109/ISPASS.2013.6557153}
}
@misc{AleBal2015poster,
author = {Y. Alexeev and P. Balaprakash},
date-added = {2021-04-18 22:02:50 -0500},
date-modified = {2021-04-18 22:02:50 -0500},
howpublished = {High Performance Computing, Networking, Storage and Analysis (SCC), 2015 SC},
note = {{Poster}},
title = {Heuristic dynamic load balancing algorithm applied to the fragment molecular orbital method},
year = {2015}
}
@periodical{Bal2020i,
author = {P. Balaprakash},
date-added = {2020-09-27 19:34:21 -0500},
date-modified = {2020-09-27 19:34:21 -0500},
howpublished = {TRB ExComm A.I. Policy Session},
month = {January},
title = {Artificial intelligence for science},
year = {2020}
}
@periodical{Bal2020h,
author = {P. Balaprakash},
date-added = {2020-09-27 19:33:37 -0500},
date-modified = {2020-09-27 19:33:37 -0500},
howpublished = {ATPESC 2020: Argonne Training Program on Extreme-Scale Computing},
month = {August},
title = {{DeepHyper} and Hyperparameter Optimization},
year = {2020}
}
@periodical{Bal2019g,
author = {P. Balaprakash},
date-added = {2020-09-27 19:31:55 -0500},
date-modified = {2020-09-27 19:31:55 -0500},
howpublished = {ATPESC 2019: Argonne Training Program on Extreme-Scale Computing, St. Charles, IL},
month = {August},
title = {Hyperparameter Optimization and {DeepHyper}},
year = {2019}
}
@periodical{Bal2020f,
author = {P. Balaprakash},
date-added = {2020-09-27 19:26:40 -0500},
date-modified = {2020-09-27 19:26:40 -0500},
howpublished = {SciDAC TDS Meeting},
month = {March},
title = {Reinforcement learning and applications},
year = {2020}
}
@periodical{Bal2020e,
author = {P. Balaprakash},
date-added = {2020-09-27 19:25:47 -0500},
date-modified = {2020-09-27 19:25:47 -0500},
howpublished = {AI for Sustainability Workshop},
month = {April},
title = {Artificial Intelligence and Machine Learning},
year = {2020}
}
@periodical{Bal2020d,
author = {P. Balaprakash},
date-added = {2020-09-27 19:23:34 -0500},
date-modified = {2020-09-27 19:23:34 -0500},
howpublished = {Workshop on Program Synthesis for Scientific Computing},
month = {August},
title = {Machine-learning-based automatic performance tuning},
year = {2020}
}
@periodical{Bal2020g,
author = {P. Balaprakash},
date-added = {2020-09-27 19:20:36 -0500},
date-modified = {2020-09-27 19:28:07 -0500},
howpublished = {Argonne CPS Division seminar series},
month = {August},
title = {{DeepHyper: Scalable Automated Machine Learning Package}},
year = {2020}
}
@periodical{Bal2019alcf,
author = {P. Balaprakash},
date-added = {2020-09-27 19:17:04 -0500},
date-modified = {2021-04-18 22:19:57 -0500},
howpublished = {ALCF Developer Session},
month = {September},
title = {{DeepHyper: A Hyperparameter Search Package for Deep Neural Networks}},
year = {2019}
}
@periodical{Bal2020a,
author = {P. Balaprakash},
date-added = {2020-09-27 19:12:45 -0500},
date-modified = {2020-09-27 19:12:45 -0500},
howpublished = {Artificial Intelligence for Water Workshop, Argonne, IL},
month = {September},
title = {Automated Machine Learning for Molecular Chemistry},
year = {2020}
}
@periodical{Bal2019m,
author = {P. Balaprakash},
date-added = {2020-09-27 19:11:18 -0500},
date-modified = {2020-09-27 19:11:18 -0500},
howpublished = {PSE AI in Science and Engineering Workshop, Argonne, IL},
month = {September},
title = {{AI} Tools},
year = {2019}
}
@periodical{Bal2019l,
author = {P. Balaprakash},
date-added = {2019-09-09 03:42:06 +0000},
date-modified = {2019-09-09 03:48:45 +0000},
howpublished = {Argonne Physics Divison Colloquium, Argonne, IL},
month = {May},
title = {Scientific Domain-Informed Machine Learning},
year = {2019}
}
@periodical{Bal2018i,
author = {P. Balaprakash},
date-added = {2019-09-09 03:40:16 +0000},
date-modified = {2019-09-09 03:40:16 +0000},
howpublished = {Consortium for Computational Physics and Chemistry Meeting, Argonne, IL},
month = {November},
title = {Scientific Domain-Informed Machine Learning},
year = {2018}
}
@periodical{Bal2019i,
author = {P. Balaprakash},
date-added = {2019-09-09 03:38:44 +0000},
date-modified = {2019-09-09 03:50:24 +0000},
howpublished = {Argonne Artificial Intelligence for Science Workshop, Argonne, IL},
month = {August},
title = {Recurrent Networks for Time Series Data},
year = {2019}
}
@periodical{Bal2019j,
author = {P. Balaprakash},
date-added = {2019-09-09 03:38:19 +0000},
date-modified = {2019-09-09 03:49:10 +0000},
howpublished = {Artificial Intelligence for Science Workshop for Summer Students, Argonne, IL},
month = {July},
title = {Deep Learning Basics},
year = {2019}
}
@periodical{Bal2019h,
author = {P. Balaprakash},
date-added = {2019-09-09 03:32:28 +0000},
date-modified = {2019-09-09 03:50:20 +0000},
howpublished = {Artificial Intelligence for Science Workshop, Argonne, IL},
month = {August},
title = {Deep Learning Basics},
year = {2019}
}
@periodical{Bal2019k,
author = {P. Balaprakash},
date-added = {2019-09-09 03:31:44 +0000},
date-modified = {2019-09-09 03:49:05 +0000},
howpublished = {Artificial Intelligence for Science Workshop for Summer Students, Argonne, IL},
month = {July},
title = {Recurrent Networks for Time Series Data},
year = {2019}
}
@periodical{Bal2019f,
author = {P. Balaprakash},
date-added = {2019-09-09 03:26:17 +0000},
date-modified = {2019-09-09 03:50:02 +0000},
howpublished = {{ATPESC 2019:} Argonne Training Program on Extreme-Scale Computing, St. Charles, IL},
month = {August},
title = {Deep Learning Basics},
year = {2019}
}
@periodical{Bal2019e,
author = {P. Balaprakash},
date-added = {2019-09-09 03:22:55 +0000},
date-modified = {2019-09-09 03:48:39 +0000},
howpublished = {Argonne Outloud Public Lecture, Argonne, IL},
month = {May},
title = {Artificial Intelligence to Accelerate Discovery and Development},
year = {2019}
}
@periodical{Bal2019d,
author = {P. Balaprakash},
date-added = {2019-09-09 03:14:42 +0000},
date-modified = {2019-09-09 03:14:42 +0000},
howpublished = {Data Enabled Modeling and Discovery in Science and Engineering Minisymposium, SIAM Conference on Computational Science and Engineering},
month = {February},
title = {{DeepHyper: Scalable Asynchronous Hyperparameter Search for Deep Learning}},
year = {2019}
}
@periodical{Bal2019c,
author = {P. Balaprakash},
date-added = {2019-09-09 03:10:43 +0000},
date-modified = {2019-09-09 03:48:17 +0000},
howpublished = {{OMASE 2019:} Optimization, Modeling, Analysis and Space Exploration Workshop, Washington DC},
month = {February},
title = {Machine-Learning-Based-Search for Automatic Performance Tuning},
year = {2019}
}
@periodical{Bal2019b,
author = {P. Balaprakash},
date-added = {2019-09-09 03:06:21 +0000},
date-modified = {2019-09-09 03:48:10 +0000},
howpublished = {{HPCaML 2019:} The First International Workshop on the Intersection of High Performance Computing and Machine Learning, Washington DC},
month = {February},
title = {Machine-Learning-Based Performance Modeling and Tuning for High-Performance Computing},
year = {2019}
}
@periodical{Bal2019a,
author = {P. Balaprakash},
date-added = {2019-09-09 03:04:51 +0000},
date-modified = {2019-09-09 03:04:51 +0000},
howpublished = {{LANS Informal Seminar}, Argonne, IL},
month = {February},
title = {Scalable Reinforcement-Learning-Based Neural Architecture Search for Scientific and Engineering Applications},
year = {2019}
}
@periodical{Bal2018q,
author = {P. Balaprakash},
date-added = {2019-02-10 21:12:55 +0000},
date-modified = {2019-02-10 21:12:55 +0000},
howpublished = {Advanced Photon Source Colloquium, Argonne, IL},
month = {December},
title = {Scientific Domain-Informed Machine Learning},
year = {2018}
}
@periodical{Bal2018m,
author = {P. Balaprakash},
date-added = {2019-01-19 21:58:06 +0000},
date-modified = {2019-02-10 21:12:16 +0000},
howpublished = {ALCF Simulation, Data, and Learning Workshop, Argonne, IL},
month = {October},
title = {Scientific Domain-Informed Machine Learning},
year = {2018}
}
@periodical{Bal2018n,
author = {P. Balaprakash},
date-added = {2019-01-19 21:55:03 +0000},
date-modified = {2019-02-10 21:12:22 +0000},
howpublished = {Workshop on Deep Learning for Multimessenger Astrophysics: Real-time Discovery at Scale},
month = {October},
title = {Reproducibility, portability and interpretability of deep learning},
year = {2018}
}
@periodical{Bal2018h,
author = {P. Balaprakash},
date-added = {2019-01-19 21:43:11 +0000},
date-modified = {2019-02-10 21:11:40 +0000},
howpublished = {Department Seminar Series, Mechanical and Industrial Engineering, University of Illinois at Chicago, IL},
month = {October},
title = {Scientific Domain-Informed Machine Learning},
year = {2018}
}
@periodical{Bal2018l,
author = {P. Balaprakash},
date-added = {2019-01-19 21:33:08 +0000},
date-modified = {2019-02-10 21:12:09 +0000},
howpublished = {CANDLE-EXALEARN ECP Workshop, Argonne, IL},
month = {October},
title = {Data parallel deep learning},
year = {2018}
}
@periodical{Bal2018j,
author = {P. Balaprakash},
date-added = {2019-01-19 21:30:56 +0000},
date-modified = {2019-02-10 21:11:56 +0000},
howpublished = {Workshop on Large-Scale Computing for Transportation Studies, Maui, HI},
month = {November},
title = {Spatial-temporal deep learning and hyperparameter search for traffic prediction},
year = {2018}
}
@periodical{Bal2020c,
author = {P. Balaprakash},
date-added = {2019-01-19 21:12:31 +0000},
date-modified = {2020-09-27 19:18:04 -0500},
howpublished = {Panel, Smoky Mountains Computational Sciences and Engineering Conference (SMC)},
month = {August},
title = {Keynote -- The Future of HPC Systems in the Presence of AI},
year = {2020}
}
@periodical{Bal2018k,
author = {P. Balaprakash},
date-added = {2019-01-19 21:10:17 +0000},
date-modified = {2019-02-10 21:12:03 +0000},
howpublished = {{PMBS 2018:} Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems},
month = {November},
title = {Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications},
year = {2018}
}
@periodical{Bal2018p,
author = {P. Balaprakash},
date-added = {2019-01-19 21:03:02 +0000},
date-modified = {2019-02-10 21:31:16 +0000},
howpublished = {Indian Institute of Science, Bengaluru, India},
month = {December},
title = {Scientific Domain-Informed Machine Learning},
year = {2018}
}
@periodical{Bal2018o,
author = {P. Balaprakash},
date-added = {2019-01-19 20:58:50 +0000},
date-modified = {2019-02-10 21:12:29 +0000},
howpublished = {25th IEEE International Conference on High Performance Computing, Data, and Analytics, Bengaluru, India},
month = {December},
title = {{DeepHyper:} {Asynchronous Hyperparameter Search for Deep Neural Networks}},
year = {2018}
}
@periodical{Bal2018g,
author = {P. Balaprakash},
date-added = {2019-01-19 20:57:43 +0000},
date-modified = {2019-01-19 21:02:45 +0000},
howpublished = {Army Research Lab Workshop, Chicago, IL},
month = {May},
title = {Tools for Scientific Machine Learning},
year = {2018}
}
@periodical{Bal2018f,
author = {P. Balaprakash},
date-added = {2018-09-28 20:44:24 +0000},
date-modified = {2018-09-28 20:47:01 +0000},
howpublished = {Argonne Environmental Science Division Retreat},
month = {May},
title = {Machine Learning Overview and Applications},
year = {2018}
}
@periodical{Bal2018e,
author = {P. Balaprakash},
date-added = {2018-09-28 20:42:53 +0000},
date-modified = {2018-09-28 20:42:53 +0000},
howpublished = {Argonne Geospatial Workshop},
month = {August},
title = {Data for Machine Learning},
year = {2018}
}
@periodical{Bal2018d,
author = {P. Balaprakash},
date-added = {2018-09-28 20:40:59 +0000},
date-modified = {2018-09-28 20:40:59 +0000},
howpublished = {Argonne Deep Learning Workshop},
month = {January},
title = {Recurrent Neural Networks},
year = {2018}
}
@periodical{Bal2018c,
author = {P. Balaprakash},
date-added = {2018-09-28 20:39:49 +0000},
date-modified = {2018-09-28 20:39:49 +0000},
howpublished = {Argonne Deep Learning Workshop},
month = {January},
title = {Deep Learning Basics},
year = {2018}
}
@periodical{Bal2018b,
author = {P. Balaprakash},
date-added = {2018-09-28 20:39:07 +0000},
date-modified = {2018-09-28 20:39:07 +0000},
howpublished = {SciDAC Fusion Machine-Learning Workshop 2018, Princeton, NJ},
month = {June},
title = {Machine Learning Hardware},
year = {2018}
}
@periodical{Bal2020j,
author = {P. Balaprakash},
date-added = {2018-09-28 20:37:18 +0000},
date-modified = {2020-09-27 19:35:32 -0500},
howpublished = {SC '19: IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis},
month = {November},
title = {Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Research},
year = {2019}
}
@periodical{Bal2018a,
author = {P. Balaprakash},
date-added = {2018-09-28 20:35:37 +0000},
date-modified = {2018-09-28 20:35:37 +0000},
howpublished = {7th Greater Chicago Area Systems Research Workshop University of Chicago, Chicago, IL},
month = {April},
title = {Machine Learning in High Performance Computing},
year = {2018}
}
@periodical{Bal2017p,
author = {P. Balaprakash},
date-added = {2018-09-28 20:32:49 +0000},
date-modified = {2018-09-28 20:32:49 +0000},
howpublished = {Argonne Machine Learning Workshop, Argonne, IL},
month = {April},
title = {Introduction to Unsupervised and Supervised Learning in Python: Hands-on Tutorial},
year = {2017}
}
@periodical{Bal2017c,
author = {P. Balaprakash},
date-added = {2017-09-22 18:19:20 +0000},
date-modified = {2017-09-29 04:03:07 +0000},
howpublished = {Argonne Training Program on Extreme-Scale Computing (ATPESC), St. Charles, IL},
month = {August},
title = {Introduction to Unsupervised and Supervised Learning in Python: Hands-on Tutorial},
year = {2017}
}
@periodical{Bal2017f,
author = {P. Balaprakash},
date-added = {2017-09-22 18:18:52 +0000},
date-modified = {2017-09-22 18:35:39 +0000},
howpublished = {Argonne Machine Learning Workshop, Argonne, IL},
month = {July},
title = {Overview of Machine Learning Methods},
year = {2017}
}
@periodical{Bal2017l,
author = {P. Balaprakash},
date-added = {2017-09-22 18:05:01 +0000},
date-modified = {2017-09-22 18:05:01 +0000},
howpublished = {The 3rd International Workshop on Data Science in High Energy Physics (DS@HEP 2017), Fermi National Accelerator Laboratory, IL},
month = {May},
title = {Generative Adversarial Networks},
year = {2017}
}
@periodical{Bal2017e,
author = {P. Balaprakash},
date-added = {2017-09-22 18:02:59 +0000},
date-modified = {2017-09-22 18:02:59 +0000},
howpublished = {US ATLAS Workshop, Argonne, IL},
month = {July},
title = {Generative Adversarial Networks},
year = {2017}
}
@periodical{Bal2017j,
author = {P. Balaprakash},
date-added = {2017-09-22 18:01:41 +0000},
date-modified = {2017-09-22 18:01:41 +0000},
howpublished = {Workshop on Optimization and Machine Learning (ACNTW 17), Northwestern University, Argonne},
month = {May},
title = {Automatic Multi-Objective Modeling with Machine Learning},
year = {2017}
}
@periodical{Bal2017k,
author = {P. Balaprakash},
date-added = {2017-09-22 17:59:03 +0000},
date-modified = {2017-09-22 18:02:23 +0000},
howpublished = {Computing Frontiers 2017, University of Siena, Siena, Italy},
month = {May},
title = {Analytical Performance Modeling and Validation of Intel's Xeon Phi Architecture},
year = {2017}
}
@periodical{Bal2017b,
author = {P. Balaprakash},
date-added = {2017-09-22 17:52:16 +0000},
date-modified = {2017-09-22 17:52:16 +0000},
howpublished = {Argonne Training Program on Extreme-Scale Computing (ATPESC), St. Charles, IL},
month = {August},
title = {Overview of Machine Learning Methods},
year = {2017}
}
@periodical{Bal2017i,
author = {P. Balaprakash},
date-added = {2017-09-22 17:52:01 +0000},
date-modified = {2017-09-22 23:33:30 +0000},
howpublished = {Argonne Machine Learning Workshop, Argonne, IL},
month = {July},
title = {Introduction to Unsupervised and Supervised Learning in Python: Hands-on Tutorial},
year = {2017}
}
@periodical{Bal2017h,
author = {P. Balaprakash},
date-added = {2017-09-22 17:37:10 +0000},
date-modified = {2017-09-22 18:29:00 +0000},
howpublished = {Argonne Machine Learning Workshop, Argonne, IL},
month = {July},
title = {Automatic Multi-Objective Modeling with Machine Learning},
year = {2017}
}
@periodical{Bal2017n,
author = {P. Balaprakash},
date-added = {2017-09-22 17:31:31 +0000},
date-modified = {2017-09-22 18:28:17 +0000},
howpublished = {Argonne Machine Learning Workshop, Argonne, IL},
month = {April},
title = {Automatic Multi-Objective Modeling with Machine Learning},
year = {2017}
}
@periodical{Bal2017o,
author = {P. Balaprakash},
date-added = {2017-09-22 17:15:36 +0000},
date-modified = {2017-09-22 18:27:43 +0000},
howpublished = {Argonne Machine Learning Workshop, Argonne, IL},
month = {April},
title = {Overview of Machine Learning Methods},
year = {2017}
}
@periodical{Bal2017d,
author = {P. Balaprakash},
date-added = {2017-09-22 17:11:17 +0000},
date-modified = {2017-09-22 18:31:19 +0000},
howpublished = {Fourth Workshop on Programming Abstractions for Data Locality (PADAL'17), Chicago, IL},
month = {August},
title = {Need for Data Locality in Machine/Deep Learning},
year = {2017}
}
@periodical{Bal2017m,
author = {P. Balaprakash},
date-added = {2017-09-22 17:04:45 +0000},
date-modified = {2017-09-22 18:18:02 +0000},
howpublished = {Tech Hub, SAE World Congress 2017, Detroit, MI},
month = {May},
title = {Artificial Intelligence for Transportation and Mobility},
year = {2017}
}
@periodical{Bal2017a,
author = {P. Balaprakash},
date-added = {2017-09-22 16:58:22 +0000},
date-modified = {2017-09-22 17:04:21 +0000},
howpublished = {Argonne Training Program on Extreme-Scale Computing (ATPESC), St. Charles, IL},
month = {August},
title = {Automatic Multi-Objective Modeling with Machine Learning},
year = {2017}
}
@periodical{Bal2007b,
author = {P. Balaprakash},
date-added = {2017-01-08 19:56:18 +0000},
date-modified = {2017-01-28 05:28:33 +0000},
howpublished = {4th International Workshop on Hybrid Metaheuristics, Dortmund, Germany},
month = {October},
title = {Improvement strategies for the {F-Race} algorithm: Sampling design and iterative refinement},
year = {2007}
}
@periodical{Bal2005,
author = {P. Balaprakash},
date-added = {2017-01-08 19:54:10 +0000},
date-modified = {2017-01-28 05:27:13 +0000},
howpublished = {MIC 2005: The 6th Metaheuristics International Conference, Vienna, Austria},
month = {August},
title = {{ACO/F-Race}: Ant colony optimization and racing techniques for combinatorial optimization under uncertainty},
year = {2005}
}
@periodical{Bal2016f,
author = {P. Balaprakash},
date-added = {2017-01-08 19:51:00 +0000},
date-modified = {2017-01-28 05:21:22 +0000},
howpublished = {6th Joint Laboratory for Extreme Scale Computing (JLESC) Workshop, Kobe, Japan},
month = {June},
title = {Multi objective optimization of {HPC} kernels for performance, power, and energy},
year = {2016}
}
@periodical{Bal2013d,
author = {P. Balaprakash},
date-added = {2017-01-08 19:32:32 +0000},
date-modified = {2017-01-28 05:25:09 +0000},
howpublished = {PMaC/SDSC Seminar, San Diego, CA},
month = {July},
title = {Search Algorithms in Empirical Performance Tuning and Machine Learning for Computationally Expensive Simulations},
year = {2013}
}
@periodical{Bal2007a,
author = {P. Balaprakash},
date-added = {2017-01-08 19:27:39 +0000},
date-modified = {2017-01-28 05:26:49 +0000},
howpublished = {LION 2007 II: Learning and Intelligent Optimization, Trento, Italy},
month = {December},
title = {An experimental study of estimation-based metaheuristics for the probabilistic traveling salesman problem},
year = {2007}
}
@periodical{Bal2012e,
author = {P. Balaprakash},
date-added = {2017-01-08 19:04:42 +0000},
date-modified = {2017-01-28 05:24:27 +0000},
howpublished = {ANL Mathematics and Computer Science Division Seminar, Lemont, IL},
month = {December},
title = {Search Algorithms in Empirical Performance Tuning and Machine Learning for Computationally Expensive Simulations},
year = {2012}
}
@periodical{Bal2016e,
author = {P. Balaprakash},
date-added = {2016-09-29 03:52:13 +0000},
date-modified = {2017-01-28 05:30:09 +0000},
howpublished = {Midwest Big Data Opportunities and Challenges, Chicago, IL},
month = {September},
title = {Machine learning for high performance computing},
year = {2016}
}
@periodical{Bal2016c,
author = {P. Balaprakash},
date-added = {2016-07-11 00:52:32 +0000},
date-modified = {2017-01-28 05:30:47 +0000},
howpublished = {11th International Workshop on Automatic Performance Tuning, iWAPT 2016, Chicago, IL},
month = {May},
title = {Exploiting performance portability in search algorithms for autotuning},
year = {2016}
}
@periodical{Bal2016d,
author = {P. Balaprakash},
date-added = {2016-07-11 00:49:24 +0000},
date-modified = {2017-01-28 05:28:56 +0000},
howpublished = {The 45th International Conference on Parallel Processing, ICPP 2016, Philadelphia, PA},
month = {August},
title = {Improving Data Transfer Throughput with Direct Search Optimization},
year = {2016}
}
@periodical{Bal2016a,
author = {P. Balaprakash},
date-added = {2016-07-11 00:45:29 +0000},
date-modified = {2017-01-28 05:20:44 +0000},
howpublished = {International Supercomputing Conference, ISC 2016, Frankfurt, Germany},
month = {June},
title = {{AutoMOMML: Automatic Multi-objective Modeling with Machine Learning}},
year = {2016}
}
@periodical{Bal2016b,
author = {P. Balaprakash},
date-added = {2016-07-11 00:43:09 +0000},
date-modified = {2017-01-28 05:21:06 +0000},
howpublished = {5th Joint Laboratory for Extreme Scale Computing (JLESC) Workshop, Lyon, France},
month = {June},
title = {{AutoMOMML: Automatic Multi-objective Modeling with Machine Learning}},
year = {2016}
}
@periodical{Bal2015b,
author = {P. Balaprakash},
date-added = {2015-09-28 15:32:09 +0000},
date-modified = {2017-01-28 05:21:52 +0000},
howpublished = {Urban Data Analytics/City of Chicago SmartData Platform Workshop, Chicago, IL},
month = {May},
title = {Predictive modeling for large scale vehicle simulations},
year = {2015}
}
@periodical{Bal2015a,
author = {P. Balaprakash},
date-added = {2015-03-06 00:30:32 +0000},
date-modified = {2017-01-28 05:22:08 +0000},
howpublished = {2015 DOE ASCR Machine Learning Workshop, Rockville, MD},
month = {January},
title = {Self-aware runtime and operating Systems},
year = {2015}
}
@periodical{Bal2014b,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:22:28 +0000},
howpublished = {Department of Mathematics, Statistics and Computer Science Colloquium, Marquette University, Milwaukee, WI},
month = {October},
title = {Automatic performance modeling and tuning},
year = {2014}
}
@periodical{Bal2014c,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:22:44 +0000},
howpublished = {11th International Meeting on High-Performance Computing for Computational Science (VECPAR 2014), Eugene, OR},
month = {July},
note = {{Conference Talk}},
title = {Machine-learning-based load balancing for community ice code component in {CESM}},
year = {2014}
}
@periodical{Bal2014a,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:23:08 +0000},
howpublished = {Computation Institute, UChicago, Lemont, IL},
month = {February},
title = {Active-learning-based surrogate models for empirical performance tuning},
year = {2014}
}
@periodical{Bal2013a,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:23:22 +0000},
howpublished = {10th workshop of the INRIA-Illinois-ANL Joint Laboratory, Urbana, IL},
month = {November},
title = {Active-learning-based surrogate models for empirical performance tuning},
year = {2013}
}
@periodical{Bal2013c,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:23:39 +0000},
howpublished = {4th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS13), Denver, CO},
month = {November},
title = {Multi objective optimization of {HPC} kernels for performance, power, and energy},
year = {2013}
}
@periodical{Bal2013b,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:23:53 +0000},
howpublished = {2013 IEEE International Conference on Cluster Computing (CLUSTER), Indianapolis, IN},
month = {September},
title = {Active-learning-based surrogate models for empirical performance tuning},
year = {2013}
}
@periodical{Bal2012b,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:24:06 +0000},
howpublished = {IPAM Chemical Compound Space Reunion, Lake Arrowhead, CA},
month = {December},
title = {A sequential learning approach for quantum chemistry simulations},
year = {2012}
}
@periodical{Bal2012c,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:25:34 +0000},
howpublished = {Workshop on Tools for Program Development and Analysis in Computational Science, International Conference on Computational Science, ICCS 2012, Omaha, NE},
month = {June},
title = {{SPAPT}: {S}earch {P}roblems in {A}utomatic {P}erformance {T}uning},
year = {2012},
bdsk-url-1 = {http://dx.doi.org/10.1016/j.procs.2012.04.214}
}
@periodical{Bal2012a,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:25:49 +0000},
howpublished = {SIAM Conference on Parallel Processing (SIAM PP 2012), Savannah, GA},
month = {February},
title = {Efficient optimization algorithms for empirical performance tuning},
year = {2012}
}
@periodical{Bal2012d,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:26:03 +0000},
howpublished = {DOE CScADS Workshop on Libraries and Autotuning for Extreme-Scale Systems, Snowbird, UT},
month = {August},
title = {Global and local search algorithms in empirical performance tuning},
year = {2011}
}
@periodical{Bal2011b,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:26:24 +0000},
howpublished = {Workshop on Automatic Performance Tuning, International Conference on Computational Science, ICCS 2011, Singapore},
month = {June},
title = {Can search algorithms save large-scale automatic performance tuning?},
year = {2011},
bdsk-url-1 = {http://dx.doi.org/10.1016/j.procs.2011.04.234}
}
@periodical{Bal2011a,
author = {P. Balaprakash},
date-added = {2014-12-22 20:07:22 +0000},
date-modified = {2017-01-28 05:26:39 +0000},
howpublished = {2011 SIAM Conference on Computational Science and Engineering, Reno, NV},
month = {March},
title = {Comparison of search strategies in empirical performance tuning of linear algebra kernels},
year = {2011}
}


Dialog - SP.js example
Create dialog 1
Create dialog 2
Javascript code
Source code to this is available at
https://github.com/devmade/spjs/blob/master/examples/widget_dialog.html
Described in README here.
https://github.com/devmade/spjs#6-createdialog-material-design-dialog


Elon Musk
Engineer Extraordinaire
Timeline of Elon's life
- June 28, 1971: Born in South Africa
- Age 12: Creates and writes a video game called Blastar; sells it for the equivalent of $500
- 1988: Graduates from Pretoria Boys High School with distinctions in science and computer studies
- 1989 to 1991: Attends college at Queen's University in Kingston, Ontario. Then transfers to the University of Pennsylvania; completed a BS in Economics (Wharton) and a BA with a major in physics
- 1995: Moves to Silicon Valley; defers graduate program in applied physics and materials science at Stanford University to join the Internet boom
- February 1999: Sells Zip2 to Compaq, the personal computer company, for $307 million, of which $22 million went to Musk. Then forms X.com, which in 2000 morphs into PayPal
- July 2002: eBay acquires PayPal for $1.5 billion in stock, of which $165 million goes to Musk
- 2002: Becomes an American citizen
- 2002: Founds SpaceX9
- 2004: Invests in Tesla Motors
- 2007: SpaceX wins $1.6 billion contract to bring cargo to the International Space Station
- October 2008: Becomes Tesla's CEO
- Jun 29, 2010: Tesla IPO
- May 2012: SpaceX becomes the first commercial vehicle to deliver a load of supplies to the International Space Station.
- June 2012: Tesla begins deliveries of the all-electric Model S
- August 2013: Releases sketch and concept of the Hyperloop
He's kind of homeless, which I think is sort of funny. He'll e-mail and say, 'I don't know where to stay tonight. Can I come over?', haven't given him a key or anything yet.
-Google CEO Larry Page
Read more about this inspirational figure here


|
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__init__(self,
uri,
index_entry_uri=None,
index_uri=None,
index=None,
http=None,
user_name=None,
password=None)
Creates a representation of a Node identified by URI;
optionally accepts further URIs representing both an
Index for Node s plus the specific entry
within that Index . |
source code
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__str__(self)
Returns a human-readable string representation of this
Node object, e.g.: |
source code
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create_relationship_to(self,
other_node,
type,
data=None)
Creates a new Relationship of type type
from the Node represented by the current instance to the
Node represented by other_node . |
source code
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get_relationships(self,
direction=' all ' ,
*types)
Returns all Relationship s from the current
Node in a given direction of a specific
type (if supplied). |
source code
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get_single_relationship(self,
direction,
type)
Returns only one Relationship from the current
Node in the given direction of the
specified type , if any such relationships exist. |
source code
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has_relationship(self,
direction,
*types)
Returns True if this Node has any
Relationship s with the specified criteria,
False otherwise. |
source code
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get_related_nodes(self,
direction,
*types)
Returns all Node s related to the current
Node by a Relationship in a given
direction of a specific type (if supplied). |
source code
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get_single_related_node(self,
direction,
type)
Returns only one Node related to the current
Node by a Relationship in the given
direction of the specified type , if any
such relationships exist. |
source code
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traverse(self,
order=None,
uniqueness=None,
relationships=None,
prune=None,
filter=None,
max_depth=None)
Returns a Traverser instance for the current
Node . |
source code
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Inherited from IndexableResource :
__delitem__ ,
__eq__ ,
__getitem__ ,
__ne__ ,
__repr__ ,
__setitem__ ,
delete ,
get_id ,
get_properties ,
remove_properties ,
set_properties
Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__setattr__ ,
__sizeof__ ,
__subclasshook__
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A SIMPLE PLAN (1998) *** 1/2 Directed by Sam Raimi.Written by Scott B. Smith, based on his novel. Photography, Alar Kivilo. Editing, Arthur Coburn and Eric L. Beason. Production design, Patrizia Von Brandenstein. Music, Danny Elfman. Cast: Bill Paxton, Billy Bob Thornton, Bridget Fonda, Brent Briscoe , Gary Cole, Becky Ann Baker, Chelcie Ross, Jack Walsh .Produced by James Jacks and Adam Schroeder. A Paramount release. 120 minutes. R (violence, language)
That boy from Michigan, Sam Raimi, made his first films at 18 and 19, became a cult-director at 23 with The Evil Dead (1982), and has not stopped directing, writing, producing and acting in movies and TV to this day. He specializes in horror flicks, cartoonish or comic bookish, and in parodies of other genres. Raimi is not on the roster of great American filmmakers --like his friends the Coen Brothers with whom he has often collaborated-- is not everybody's cup of tea--certainly not of mature audiences with "taste"-- but does have a following. Now, at the old age of 40, Sam has made the pants just right with a gripping, serious, psycho-sociological thriller, realistically made and acted.
A Simple Plan (ASP) is an ironic title for a sadly complicated imbroglio. Hank (Bill Paxton) works at a feed-fertilizer store in an anonymous small Upper Midwest town. (The film was shot in Delano, Minnesota, with some footage in northern Wisconsin when in search of ideal snow conditions). His wife Sarah (Bridget Fonda) is nine months pregnant with their first child. The couple is beautifully affectionate.
Hank's older brother Jacob (Billy Bob Thornton) seems to be not quite all there. He lives alone in a rather dilapidated house, has no fixed employment, is regularly on relief. His buddy and drinking companion, bluff Lou (Brent Briscoe), is often out of work, deeply in debt, and something of a town drunk.
On New Year's Eve, the three men are brought together by a visit to Hank and Jake's father's grave. In a wildlife reserve area they stumble on the wreck of a small plane hidden by snow and ice. The pilot is dead. A bag contains four million four hundred thousand dollars.
What would you do in this situation? Lou says keep it: "It's the American Dream in a damn gym bag." Jacob, a follower and no leader, acquiesces. Hank hesitates. I quote from memory: "The American Dream is to work for money, not to steal it." But still...
They figure out that all signs (the absence of news about a plane having disappeared, etc.) point to a stash of illegal money, no doubt from drugs. Hank is swayed, moves from ethics to a strategically simple plan. Keep the money, wait and see what happens, divide it when the time is ripe. He insists that he will keep the bundle and that no one will mention it to anyone else. So the first thing he does is to take it home... and tell Sarah.
Her reactions rapidly escalate from the right thing to do to more elaborate "keep it" schemes. She reinforces her opinions by sending away for papers (she works in the local library) which prove that this is ransom money for an heiress abducted by a gang that left many dead people behind.
This is where my plot-telling ends. What follows is an exponentially growing mess, excellently paced, rightly devoid of the humor that Raimi is partial to (as well as his friends the Coens in their films, including the snowy Fargo), strong in the protagonists' characterizations (with Sarah becoming a sort of junior Lady Macbeth), unexpected yet credible turns as the "perpetrators" inexorably paint themselves into a corner.
The tangled web we weave when first we practice to deceive is here the damnedest and tangledest possible. Hank bears the largest moral burden of all. A smart man, the only college graduate in the group (and in town, I suppose), he has scruples.  It keeps getting bloodier, but not gratuitously so. From the start, this very noir ("black" in French) movie set in gorgeous expanses of white, virgin snow, as it imparts the feeling of an inexorable march to catastrophe. It does this with cold, believable, suspenseful and gripping logic. In some ways, ASP evokes the doomed heist of a very different thriller, The Killing, an early Stanley Kubrick gem.
ASP is neither a simple nor a simple-minded story, nor escapism, fun, or entertainment. It's painful and depressing to watch, but then this is real cinema and a corrective to the no-brainers that make up 99 percent of film production.
There's a perfect match between images and events, tempo and psyches. There's also a growing depth and awareness in family relations, with revelations about the brothers' parents and Jake's seemingly simple mind.
Major credit goes to the first-time script-writer for adapting his own book so cleverly. Major credit goes to the production designer Patrizia Von Brandenstein (one of the best) for her discreetly eloquent sets. The music score is unobtrusive.
Cinematographer Alar Kivilo-- about whom I knew nothing and found little more than a fine track-record almost entirely in TV-- is a revelation. He does wonders with splendidly photographed snow on the land and as it falls (no easy feat); with tricky focusing and changes of focus that keep the foreground sharp (e.g. the ever-present crows perched on trees) as well as the background; with economical, meaningful camera positions and movements; with tracking shots of animals.
Symbolism runs through the picture: a beautiful fox killing chickens (a literary allusion to D.H.Lawrence?); the leitmotiv of blackbirds observing the scene (an allusion to Poe's Raven or to Hitchcock's The Birds?); others too, but they don't come at you and hit you with obviousness,
The performers are all perfect. Billy Bob Thornton has the most showy, odd part, but there's veristic quality acting by everyone, including the smaller roles: the ambiguous, friendly yet mysterious sheriff (Chelcie Ross); he equally cool Gary Cole who shows a different kind of cool in the current comedy Office Space.
Verisimilitude does get strained a bit, but rarely. I wonder how Sarah, at work, in the boondocks, gets the newspapers so quickly. (Yes, this is the information, fax and internet age, but still...) Why is college graduate Hank working in a feed store? Small things like that.
ASP also wins is in its choice of subject. Greed, the title of a great Hollywood classic of 1925, could be the title of this film too, and of the heading of millions of news items --since the profit motive rules the world.
" Le mauvais gout mene au crime" (Stendhal)
Edwin Jahiel's movie reviews are at http://www.prairienet.org/ejahiel
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


* Age and sex specific classes * Annual self def courses are offered to recruit new entrants * Anti rape drills * Attitude, conduct and character as part of avoidance. * Common elements of gender specific violence; i.e: When girls attack girls, when men attack women, when men attack men etc. * Escape * Hand wrist grabs above cant select * I was 30 years in the police Firearms officer and self defence instructor. All aspects can be covered but I'm a realist. * Krav Maga * Male Vs female HAOV. Dealing with enclosed areas, street positioning etc. * Please detail any other aspects of self protection that your club / association teaches that were not listed above * Preferred system of a number of Police forces * protecting others * Reasonable force/types of offender * Scenario days - ad hoc * Specific classes for kids. * Striking points and effect of such. * The effects of Adrenalin on the body, FEAR and the sympathetic nervous system and how it works, controlling Fight or Flight (or freeze) * These are not taught as part of a normal class. * Use of force in self defence (it can't be described as a counter assault if it is legal (terminology is important) and all drills actions trained and developed are designed to fit threat perceptions and be deemed reasonable force under UK Law. * We realize that whilst karate is more useful than not, we don’t teach self defense or self protection * We teach techniques that are included above but staying away from calling it self defence


CSS = Cascading Style Sheets
CSS lets you work with the fonts, spacing, borders, layout,
colour, etc of a website. Basically, CSS is a language to define the format of
contents in a website.
CSS lets you maintain the look of a large website with lots
of HTML pages.  You can define styles within your HTML, but using CSS makes it easier
to read, modify and reuse style information.[1][2]


This sample demonstrates how to delete the accounts of users who have not signed-in in the last month.
See the file functions/index.js for the code.
Note: This function uses Cloud Scheduler and Pub/Sub, which can have associated costs. Your project must be on the Blaze payment plan as these features require billing information. See the Cloud Scheduler pricing page for more information.
The dependencies are listed in functions/package.json.
To set up the sample:
git clone https://github.com/firebase/functions-samples
cd functions-samples/delete-unused-accounts-cron
firebase use --add
and
follow the instructions.
cd functions; npm install; cd -
firebase deploy
.


Information Security
& Technologies Architect
WHOAMI
I'm an information security & technologies architect with +13 years of experience in research, project management & development.
- Skills
- Web Application Penetration Testing
- Network Penetration Testing (Internal/External)
- Reverse Engineering
- Debugging
- +
- Development of security standards
- Secure architecture design
- Vulnerability regularization
- +
- Hardening of critical systems
- Firewall implementation and configuration
- Forensic Analysis and Intrusion Tracing
Cablevisión Flow *
Design and implementation of the authentication platform and real-time authorization services over an Open Source platform supporting more than 3 million customers.
* Cablevisión Flow allows you to view all live channels and OnDemand content from any device, through a modern platform and with new functionalities.


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This is an example of a document written using the
Here is a list of the keyboard common keyboard commands:
up/down
: move active cellw
: edit active cello
: create new cell after active (and edit)esc
: render cell contentsshift+enter
: render cell and create new one (= esc
then o
)D
: delete cellctrl+s
: save documentAs in the above, unordered lists can be created with consecutive lines in a cell starting with -
, while ordered lists use +
.
Code blocks hi there
and
big code block
multiline now
Text cells can be typed in verbatim. Create heading cells by prefacing them with any appropriate number of #
's. Image cells must be separate but otherwise use the same syntax as regular markdown: ![url](caption)
Clicking on a cell, makes it the active cell. One can also move to the previous or next cell with the arrow keys. Creation and deletion of cells can also be accomplished with the mouse hover buttons.
Footnotes can be created with a caret and text in square brackets, as in ^[footnote text]
. Their text will be displayed in a hover over and they will be automatically numbered from 1. For example, this is a footnote
Inline code is denoted with `
and multiline code blocks are done by starting a cell with ``
.
Math is rendered using KaTeX and supports much of TeX style syntax. It can be displayed inline with matching pairs of $
signs, as in $$
This makes debugging equation errors considerably easier. On top of that, KaTeX now even supports subexpression error display
Equations can be numbered with semi-arbitrary labels as in [eq1]
, and referenced similarly with @[eq1]
, for example eq1.
Here is a multiline, aligned equation
Documents can be exported to a variety of formats:


progressbar is working - DELETE THIS TEXT IN "progressbar.html"
{% verbatim %} Progressbar Working:
Download Tweet {{ progress.steps[0].numFetched }} / {{ progress.steps[0].numTotal }}
Save tweet {{ progress.steps[1].numSaved }} / {{ progress.steps[1].numTotal }}
45% Complete
{% endverbatim %}


Automation:
Losing streak:
{{ ms.game.enemyManager.lostRow }}
Kill streak:
{{ ms.game.enemyManager.killStreak }}
Experience reward:
{{ expGain | format: true }}
Enemy level is too low. Gain experience from lv.
2
every time you defeat enemies of max level (actual max lv is
{{
ms.game.enemyManager.maxLevel | format: true
}}).
Dark matter reward:
{{ darkMatterGain | time }}.
Enemy level is too low. Gain experience from lv.
2


Jane McDonald watched I'm a Celeb's Adele Roberts' luxury item reveal in pants
Jane McDonald has given I’m a Celeb’s Adele Roberts her seal of approval after discovering she was the campmate’s luxury item – while watching in shock in her pants.
The TV and singing icon called in to This Morning to discuss her shock inclusion in this year’s Australian camp, after Adele revealed she’d brought in a framed photo of Jane to keep her spirits up.
Declaring the star a ‘national treasure’, Adele said: ‘She is the queen of Wakefield.

While viewers were baffled (but absolutely loved the random item), Jane has now spoken out about the moment and said that she is now excited to meet her radio DJ superfan.
Speaking to Holly and Phil, she said: ‘I’m absolutely gobsmacked! I was just like… my phone started going ding, ding, ding, ding, ding!
‘I was sat, because I’ve been sitting here filming in Manchester.
‘I just sat on the edge of the bed in my underwear, and watched it on Plus One, and just thought, “oh my goodness me!” I could not believe it.’
Despite Adele’s clear fondness for the star, it’s revealed that the pair have never actually met before, but Jane added: ‘But I want to now!’
Thankfully for Jane, that’s the closest she’s ever going to get in the jungle, and she laughed off her ever taking part herself.
‘I just love that, that is absolutely my perfect visit into the jungle, isn’t it,’ she laughed. ‘I don’t have to do anything, I’m just there.’
Advertisement Advertisement
‘Oh no! I don’t think [I’ll ever do it],’ she said. ‘It’s not for me that, love. I need a hairdryer, and me without make-up? Not attractive, not attractive at all.’
I’m A Celebrity…Get Me Out Of Here continues weeknights at 9pm on ITV.
Got a showbiz story? If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


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Busca TMDB


This class represent an authenticated user.
More...
This class represent an authenticated user.
◆ getRoles()
| ICollection<UserRole> AeroGear.Mobile.Auth.User.getRoles |
( |
| ) |
|
Gets the roles.
- Returns
- All the roles associated with this user.
◆ HasRealmRole()
| bool AeroGear.Mobile.Auth.User.HasRealmRole |
( |
string |
role | ) |
|
Checks if the user has the specified Realm role..
- Returns
true
, if the passed in role is associated with this user, false
otherwise.
- Parameters
-
◆ HasResourceRole()
| bool AeroGear.Mobile.Auth.User.HasResourceRole |
( |
string |
role, |
|
|
string |
resourceId |
|
) |
| |
Checks if the user has the specified Resource role.
- Returns
true
, if the passed in role is associated with this user, false
otherwise.
- Parameters
-
| role | role to be checked. |
| resourceId | resourceId related to role. |
◆ NewUser()
| static UserBuilder AeroGear.Mobile.Auth.User.NewUser |
( |
| ) |
|
|
static |
Instantiate a new user object with a fluent api.
- Returns
- The user, ready to be configured with fluent api.
◆ Roles
| List<UserRole> AeroGear.Mobile.Auth.User.Roles |
Roles associated with this principal.
◆ AccessToken
| string AeroGear.Mobile.Auth.User.AccessToken |
|
get |
Gets the access token.
Access token for http request authorisation.
◆ Email
| string AeroGear.Mobile.Auth.User.Email |
|
get |
Gets the email.
The email associated with this user.
◆ Firstname
| string AeroGear.Mobile.Auth.User.Firstname |
|
get |
Gets the firstname.
The first name of the principal.
◆ IdentityToken
| string AeroGear.Mobile.Auth.User.IdentityToken |
|
get |
Gets the identity token.
Identity token. It is used for logout.
◆ Lastname
| string AeroGear.Mobile.Auth.User.Lastname |
|
get |
Gets the lastname.
The last name of the principal.
◆ RefreshToken
| string AeroGear.Mobile.Auth.User.RefreshToken |
|
get |
Gets the refresh token.
The refresh token.
◆ Username
| string AeroGear.Mobile.Auth.User.Username |
|
get |
Gets the username.
The username of the principal.
The documentation for this class was generated from the following file:


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#include "graphics.h"
void readimagefile(
const char* title=NULL,
int left=0, int right=0, int right=INT_MAX, int bottom=INT_MAX
);
Description
The
readimagefile
function is available in the
winbgim implementation of BGI
graphics.
You do not need to include conio.h; just include graphics.h.
The function reads a BMP, GIF, JPG, ICO, EMF or WMF image file and
displays it in part of the current active window.
The filename may be NULL (in which case a windows file save dialog box is
opened to allow the user to select a file name).


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Project Quotes
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{{ item.Name }}
{{qt.CustomerName}} has been Awarded by {{qt.AwardedBy}}
{{qt.CustomerName}} has been Canceled by {{qt.AwardedBy}}
{{qt.CustomerName}} has been Lost by {{qt.AwardedBy}}
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{{data.row.data.QuoteNumber}}
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CR
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Info! Sorry, there is no items or assembly for this project. Please add items to manage Division.


Congratulations! Welcome to the world of Disruption Tolerant Networking. With a little help from this manual, and the DTN2 software, you'll soon be sending bundles to Mars and beyond.
The protocols that govern the way computers talk on the Internet largely assume that there are reliable low latency connections between any two points on the net. But several applications where we'd like to get the benefits of computer networking do not conform to that assumption. For instance, when NASA sends an instruction to a Mars Rover, there are both latency (speed of light delay) and disruption problems (no line of sight from Earth to Mars because the rover is on the back side of Mars right now, or it is the weather is bad at the receiving station). Another example is the challenge of getting the benefits of the Internet to a villiage in a developing nation. Traditional telecommunications technology cannot reach it cost-effectively, but a guy on a motorcycle can visit twenty such villages in a week much more cheaply than one could build a network to those twenty villages.
The Disruption Tolerant Networking (DTN) family of specifications and protocols lay out an architecture and mechanism to keep data moving even in the face of the difficulties these new environments present. For more information on DTN, visit the DTN Research Group web page. In particular, download and read Forrest Warthman's tutorial for a great introduction to all the concepts and terms in the DTN world.
DTN2 is the name for a reference implementation of the DTN protocols. It is designed as an experimental platform where researchers can validate the protocol designs, and do experiments to show that the DTN protocols are working as expected. For more information about DTN2's architecture and role as a platform for experimentation, see this paper by Michael Demmer and others.
Though DTN2 appeals to researchers, it is also intended to be high-quality, production-grade code ready for use in real world deployments. It has already been deployed to Cambodia and India as part of the TIER, Project, to Swedish Lapland as part of the N4C project, and we hope to see it deployed to many other environments that need to benefits of a DTN.
DTN2 primarily implements The DTN Bundle Protocol defined in the experimental specification RFC 5050. An RFC 5050-based DTN transmits data in the form of bundles that may be much larger than typical packets transmitted on IP networks. DTN2 also optionally supports the Bundle Security Protocol to provide authentication and/or integrity protection for transmitted bundles if required by the application. Bundles can be transmitted over either over (IP) transport layers or various link layers including Ethernet and Bluetooth. DTN2 implements a number of convergence layers that interface between the Bundle Protocol and the transports. DTN2 also provides a number of routing mechanisms to direct the forwarding of bundles to their intended destinations including a static routing scheme based on pre-configured routes and epidemic routing which floods bundles to any node it encounters.
We have ceased working on DTN1 in favor of DTN2, which has a significantly improved architecture for experimentation. DTN1 is still available from the DTN Research Group home page. You really should be using DTN2 for any new experiments or deployments.


I am a Computer Science graduate student at University of Dayton(Dayton,Ohio) with focus in Computer Vision.
Passion for tomorrows technology and hunger for video games has turned me from mechanical engineer to a game and AR/VR developer.Interested in VR/AR and game development using Unity3d.
Skills : Unity3d, C#, VR/AR, Blender, ARCore, ARKit, Vuforia, Android Studio, Python, TensorFlow, Photoshop
Email address<EMAIL_ADDRESS>Dungeon Escape is a 2D Android mobile game made using Unity, C#, Android Studio. This game is developed using various resources online when I am trying to learn 2D mobile game development. I also integrated realtime ads using unity ads and Google Analytics using firebase SDK.
Close ProjectBarbarian Wyder is an AR mobile game currently being developed using Unity AR Foundation, AR Core.
Close ProjectAR Image Classification App made using Unity3D, Unity-ML Agents, Vuforia, TensflowSharp Plugin.
Close ProjectThis is a research project where I worked on creating humanoid characters and virtual environment and developing interactions between the environment and characters. To achieve this me along with two other students integrated kinect,Leap motion,oculus, unity and retargeted the human position.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close Project


Ajout de photo
+ Nouveau contenu
{{group.name}}
Delete group
{{recipient.name}}
{{recipient.gift}}
${{recipient.price}}
Bought
Need to Buy
Remove
Mark as Bought
Mark as "Need to Buy"
Reset Original Items
×
New Group
Group Name:
Submit
×
New Recipient
Recipient Name:
Item:
Price:
Select Group
-- choose group --
{{gr.name}}
Submit


Below is a listing of all classes in the ActiveJS namespace. Click on a class to visit its documentation.
| Class |
|---|
|
After calling ActiveEvent.extend(object), the given object will inherit the methods in this namespace. If the given object
has a prototype (is a class constructor), the object's prototype will inherit these methods as well.
|
|
Each generated class will inherit all of the methods in this class, in addition to the ones dynamically generated by finders,
validators, relationships, or your own definitions.
|
|
Each found instance will inherit all of the methods in this class, in addition to the ones dynamically generated by finders,
validators, relationships, or your own definitions.
|
|
This object is passed to all migrations as the only parameter.
|
|
Provides a number of methods from the Prototype.js framework, without modifying any built in prototypes to ensure compatibility
and portability.
|
|
A port of Rails Inflector class.
|
|
Provides JSON support if a native implementation is not available.
|


Front-end Development
I'm proficient in HMTL/CSS/jQuery, also take front-end coding task in eBay from time to time. Here are some of my front-end works. Click the dashboard to see demo.
eBay·张江火炬大数据
A website to hold big data startups competition.
UI Standard Components
Front end components developed by me based on UI standard.
eBay Journey
Making animation with css and JS. Pause or continue.
Wood Pecker
Responsive web page based on the mockup that I design.
KPI Dashboard
Front-end coding for KPI dashboard of M1.
Seller Insight
Front-end coding for Seller Insight which is designed by me.


--- layout: project categories: projects client: Simpliflow Sports client_url: http://www.simpliflow.com client_color: 1e73be video_title: Drum Roll video_id: 144661076 video_thumb: simpliflow.png featured: true ---
Director — Cole Mueller
Producer — Cole Mueller, Hunter Hogarth
Cinematographer — Mike Testin
Editor — Cole Mueller
VFX — Richard Cabrera


On this page I'll list and describe cats with images. Woop woop~
Did you know that cats are actually animals and can do stuff? Incredible I say! Because animals are actually living things.
 Like a God, or something.
So if cats could be text, would that make text equals cats?
So much to think about and so much text!
Live long and laugh with cute cats
Fun fact: cats are cats.
| Info | Cat1 | Cat2 | Cat3 |
|---|---|---|---|
| Age | 3 Months |
3 years |
4 ½ years |
| Weight |
0,7 kg |
3 kg |
4,5 kg |
| Profession | Adventuring | Eating | Sleeping |
| Color | Brown/White | Black with gray spots |
Orange/Yellow |
| Tail | Yes | Yes | Yes |
| Cute level |
9001 | Off the charts |
Meow |


{% load static staticfiles sekizai_tags %} {# Not all our third-party app views use RequestContext #} {% get_static_prefix as STATIC_URL %}
{% trans "Username" %}
{% trans "Password" %}
{% url "openid_begin" as openid_url %}{% blocktrans %}Or log in with OpenID{% endblocktrans %}


This is Jeff Industries, and I am one of their employees. Hence, my name is Jeff. Each week I will try to add something new to the site. You know, to improve my programming skills. At Jeff Industries, they have an alternative hiring process. Really, it just lets me work here instead of at a lower paying job so I can gain experience. Everyone benefits from it. Even my bosses, in fact. Very much so. In any case, please feel free to browse what I've created here so far. Looking forward to hearing your feedback so I can become a better programmer.


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EuroVis Committee Network Visualization
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From:Geaccone To:Fancler Sent:2017-01-11T04:38:57.0000000Z Subject:FW: TW Fuel Useage by compressor
-----Original Message-----
From: Moore, Jan
Sent: Thursday, November 01, 2001 9:01 AM
To: Geaccone, Tracy
Subject: RE: TW Fuel Useage by compressor
Yes. James Centilli asked me to get this information. Mark Walton supplied it to Gary Anderson yesterday and Gary forwarded the information to me.
I gave the information to James yesterday afternoon.
Jan
-----Original Message-----
From: Geaccone, Tracy
Sent: Thursday, November 01, 2001 8:43 AM
To: Moore, Jan
Subject: FW: TW Fuel Useage by compressor
do you know anything about this?
-----Original Message-----
From: Fancler, Dan
Sent: Thursday, November 01, 2001 7:20 AM
To: Moseley, Debbie; Geaccone, Tracy
Cc: Anderson, Gary E.
Subject: TW Fuel Useage by compressor
Gary Anderson indicated you needed TW fuel numbers for last two years.
Gas Accounting has a data file of compressor useage by compressor by month.
We can provide the information if you let me know who to contact.
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
***********
California


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Upcoming NBA Games:
Weather:
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weather
API
API(self, api_key, units='imperial')
Main class for accessing OpenWeather API
from weather import API
import yaml
zip_code="75094"
# Load API from a config file because DONT PUT IN CODE!
with open("./config.yml", 'r') as ymlfile:
cfg = yaml.safe_load(ymlfile)
api=API(cfg["API_KEY"])
current=api.current(zip_code=zip_code)
Arguments
- api_key (str): API key for OpenWeather.
- units (str): standard, metric, or imperial (default)
request
API.request(self, path, params)
Low level API for interacting with OpenWeather endpoints
the following:
api.request("weather",{"zip":"75094,us"})
is the basically equivalent to
api.current(zip_code="75094")
Arguments
- path (str): the path in the api to send to eg. weather or forecast
- params (dict): additional params to be sent of url params in the request
Returns
The raw JSON results returned as a nested dict object.
current
API.current(self, zip_code=None, city_name=None, city_id=None, lat_lon=None, country_code='us')
get the current weather for a location. ```python api.current(zip_code="75094")
Must specifiy one of the following combinations:
- zip_code and country_code
- city_name and country_code
- city_id
- lat_lon
# Arguments
zip_code (str): zip code of location
city_name (str): name of the City such as 'London'
city_id (str): OpenWeather city ID
lat_lon (array of str): the first item is the latatude and the second is the longitude
country_code (str): example 'us' or 'uk'
# Returns
```json
{
"coord": {
"lon": -122.08,
"lat": 37.39
},
"weather": [
{
"id": 800,
"main": "Clear",
"description": "clear sky",
"icon": "01d"
}
],
"base": "stations",
"main": {
"temp": 296.71,
"pressure": 1013,
"humidity": 53,
"temp_min": 294.82,
"temp_max": 298.71
},
"visibility": 16093,
"wind": {
"speed": 1.5,
"deg": 350
},
"clouds": {
"all": 1
},
"dt":<PHONE_NUMBER>,
"sys": {
"type": 1,
"id": 5122,
"message": 0.0139,
"country": "US",
"sunrise":<PHONE_NUMBER>,
"sunset":<PHONE_NUMBER>
},
"timezone": -25200,
"id": 420006353,
"name": "Mountain View",
"cod": 200
}
forecast
API.forecast(self, zip_code=None, city_name=None, city_id=None, lat_lon=None, country_code='us')
get the 5 day, 3 hour forecast a location. ```python api.forecast(zip_code="75094")
Must specifiy one of the following combinations:
- zip_code and country_code
- city_name and country_code
- city_id
- lat_lon
# Arguments
zip_code (str): zip code of location
city_name (str): name of the City such as 'London'
city_id (str): OpenWeather city ID
lat_lon (array of str): the first item is the latatude and the second is the longitude
country_code (str): example 'us' or 'uk'
# Returns
```json
[{
"dt":1406106000,
"main":{
"temp":298.77,
"temp_min":298.77,
"temp_max":298.774,
"pressure":1005.93,
"sea_level":1018.18,
"grnd_level":1005.93,
"humidity":87,
"temp_kf":0.26},
"weather":[{"id":804,"main":"Clouds","description":"overcast clouds","icon":"04d"}],
"clouds":{"all":88},
"wind":{"speed":5.71,"deg":229.501},
"sys":{"pod":"d"},
"dt_txt":"2014-07-23 09:00:00"
}]


Show Close Button
Show Minimize/Maximize Button
Is Modal Blade?
ngxBladeHeader
and ngxBladeContent
inside the ngx-blade
selector to specify the header and body of the blade.
The blade doesn't necessarily have to be closed by the × button, a template reference variable could also be used
Example:
$ngxBladeHeaderBackground: rgba(127, 0, 0, 1); // <---
@import "~ngx-blade/default.scss";
You can modify any/all of these variables
// blade border
$ngxBladeBorderColor
// blade header
$ngxBladeHeaderBackground
$ngxBladeHeaderTextColor
// blade body
$ngxBladeBodyBackground
$ngxBladeBodyTextColor
// blade header action buttons (Minimize/Maximize, Close)
$ngxBladeActionButtonBackground
$ngxBladeCloseButtonHoverBackground
// blade footer
$ngxBladeFooterBackground
$ngxBladeFooterTextColor
ngxBladeFooter
directive


Use the first list below to specify what specific classes and inheritors should be excluded from being checked by this inspection. This is meant for those classes which, although they inherit Serializable from a superclass, are not intended for serialization. Such classes would lead this inspection to report unnecessarily.
Use the second list below to specify special annotations. Fields annotated with one of these annotations will be ignored by this inspection.
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func NewDefaultStateStoreFactory() *build.Factory
Creates IStateStore components by their descriptors. See Factory See IStateStore See MemoryStateStore See NullStateStore
Interface for state storages that are used to store and retrieve transaction states.
type IStateStore interface { // Loads state from the store using its key. // If value is missing in the store it returns nil. // // - correlationId (optional) transaction id to trace execution through call chain. // - key a unique state key. // Returns the state value or nil if value wasn't found. Load(correlationId string, key string) interface{} // Loads an array of states from the store using their keys. // // - correlationId (optional) transaction id to trace execution through call chain. // - keys unique state keys. // Returns an array with state values and their corresponding keys. LoadBulk(correlationId string, keys []string) []*StateValue // Saves state into the store. // // - correlationId (optional) transaction id to trace execution through call chain. // - key a unique state key. // - value a state value. // Returns The state that was stored in the store. Save(correlationId string, key string, value interface{}) interface{} // Deletes a state from the store by its key. // // - correlationId (optional) transaction id to trace execution through call chain. // - key a unique value key. Delete(correlationId string, key string) interface{} }
State store that keeps states in the process memory.
Remember: This implementation is not suitable for synchronization of distributed processes.
### Configuration parameters ###
options:
- timeout: default caching timeout in milliseconds (default: disabled)
### Example ###
store := NewMemoryStateStore(); value := store.Load("123", "key1"); ... store.Save("123", "key1", "ABC");
type MemoryStateStore struct {
// contains filtered or unexported fields
}
func NewEmptyMemoryStateStore() *MemoryStateStore
func (c *MemoryStateStore) Configure(config *cconf.ConfigParams)
Configures component by passing configuration parameters. - config configuration parameters to be set.
func (c *MemoryStateStore) Delete(correlationId string, key string) interface{}
Deletes a state from the store by its key.
- correlationId (optional) transaction id to trace execution through call chain. - key a unique state key.
func (c *MemoryStateStore) Load(correlationId string, key string) interface{}
Loads stored value from the store using its key. If value is missing in the store it returns nil.
- correlationId (optional) transaction id to trace execution through call chain. - key a unique state key. Returns the state value or nil if value wasn't found.
func (c *MemoryStateStore) LoadBulk(correlationId string, keys []string) []*StateValue
Loads an array of states from the store using their keys.
- correlationId (optional) transaction id to trace execution through call chain. - keys unique state keys. Returns an array with state values.
func (c *MemoryStateStore) Save(correlationId string, key string, value interface{}) interface{}
Saves state into the store
- correlationId (optional) transaction id to trace execution through call chain. - key a unique state key. - value a state value to store. Returns The value that was stored in the cache.
Dummy state store implementation that doesn't do anything.
It can be used in testing or in situations when state management is not required but shall be disabled.
type NullStateStore struct { }
func NewEmptyNullStateStore() *NullStateStore
func (c *NullStateStore) Delete(correlationId string, key string) interface{}
Deletes a state from the store by its key.
- correlationId (optional) transaction id to trace execution through call chain. - key a unique value key.
func (c *NullStateStore) Load(correlationId string, key string) interface{}
Loads state from the store using its key. If value is missing in the stored it returns nil.
- correlationId (optional) transaction id to trace execution through call chain. - key a unique state key. Returns the state value or nil if value wasn't found.
func (c *NullStateStore) LoadBulk(correlationId string, keys []string) []*StateValue
Loads an array of states from the store using their keys.
- correlationId (optional) transaction id to trace execution through call chain. - keys unique state keys. Returns an array with state values and their corresponding keys.
func (c *NullStateStore) Save(correlationId string, key string, value interface{}) interface{}
Saves state into the store.
- correlationId (optional) transaction id to trace execution through call chain. - key a unique state key. - value a state value. Returns The state that was stored in the store.
Data object to store state values with their keys used by [[MemoryStateEntry]]
type StateEntry struct {
// contains filtered or unexported fields
}
func NewStateEntry(key string, value interface{}) *StateEntry
NewStateEntry method creates a new instance of the state entry and assigns its values. - key a unique key to locate the value. - value a value to be stored.
func (c *StateEntry) GetKey() string
GetKey method gets the key to locate the state value. Returns the value key.
func (c *StateEntry) GetLastUpdateTime() int64
GetLastUpdateTime method gets the last update time. Returns the timestamp when the value ware stored.
func (c *StateEntry) GetValue() interface{}
GetValue method gets the sstate value. Returns the value object.
func (c *StateEntry) SetValue(value interface{})
SetValue method sets a new state value. - value a new cached value.
A data object that holds a retrieved state value with its key.
type StateValue struct { Key string `json:"key" bson:"key"` // A unique state key Value interface{} `json:"value" bson:"value"` // A stored state value }


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Join our free Programming Course Course.
Find out how in28Minutes reached 100,000 Learners on Udemy in 2 years. The in28minutes Way - Our approach to creating awesome learning experiences.


Government at all levels today ignores the needs of the many, regardless of our ideologies or affiliations, working always and only for the very few: the privileged, the connected, the wealthy — the 1%.
The only thing that has ever succeeded over concentrated power is democratic power. That’s power—not gestures meant only to shame the shameless or other trifles—but the ability to actually stop and disrupt what hurts you and your family.
To stop families struck by illness from going bankrupt, to prevent people who work a full time job from teetering on the edge of starvation, to end the cruelties and absurdities of inequalities we all oppose that never seem to be fixed, we are building a machine for change.
To start to reclaim what happens to us in our own lives, not just to protect what we have already won but to ask for and get what we all need, we are going elect the grassroots locally, state-wide, and nationally.


Account that is used for signing transactions and storing public keys which he was signed.
Get or generate private key, create signer by using private key, generate public key from private key and generate account address by using public key and family name (https://docs.remme.io/remme-core/docs/family-account.html#addressing)
Address of this key in blockchain. (https://docs.remme.io/remme-core/docs/family-account.html#addressing)
Return family name.
Return key type.
Return private key.
Return private key in pem format.
Return private key in pem format.
Return public key.
Return base 64 of public key.
Return public key in pem format.
Return public key in pem format.
Generated using TypeDoc
Account that is used for signing transactions and storing public keys which he was signed.
const account = new RemmeAccount("ac124700cc4325cc2a78b22b9acb039d9efe859ef673b871d55d1078391934f9"); console.log(account.privateKeyHex); // "ac124700cc4325cc2a78b22b9acb039d9efe859ef673b871d55d1078391934f9"; const anotherAccount = new RemmeAccount(); console.log(anotherAccount.privateKeyHex); // "b5167700cc4325cc2a78b22b9acb039d9efe859ef673b871d55d10783919129f"; const data = "some data"; const signedData = account.sign(data); const isVerify = account.verify(signedData, data); console.log(isVerify); // true const isVerifyInAnotherAccount = anotherAccount.verify(signedData, data); console.log(isVerifyInAnotherAccount); // false


Propositions and Proofs
Selected scripts from the third chapter of the book
Exercises
- Exercises 3.2 page 58 and 3.3 page 65
- Exercise 3.4 page 67
- Exercise 3.5 page 69
Errata
- Page 21, in the Var rule, read (x:A) instead of
- Page 52, same correction.
- Page 47, Definition 8, "A goal is the pairing ... and a type P that
is well-formed ..."

- Page 63 (last paragraph): read
"Calling "apply H0" generates three subgoals: P->Q->R, R and T->Q"
Please replace intro H2 with intro H1
and H1 with H0, to be OK with the proof script.
- Page 70 (last paragraph): read "forall P Q R: Prop"


Since the onset of education, mankind has philosophised the ideology of “one-size fits all”. This approach turned out to be brilliant for churning out factory workers during the industrial revolution and uplifting the economy. Over the years, this approach has not been updated to match our times of rapid technology growth, innovation and the coming of the age of information. Rather, it has been engraved into our educational system such that we can’t imagine any other system into existence to educate the young minds of today’s generation. The major problem is that we, now, live in an era that rewards creativity and innovation. Today’s need is to produce thinkers who will shape the society and solve complex problem.
We, at Zaryiya, believe that each individual is unique: they have different aspirations, perspectives, learning style, and levels of creativity. Everyone deserves an Educational system which prioritises their needs above any other and provides specifically tailored curriculum which makes the individual achieve their true potential through a rigorous yet immersive pathway environment.
Through Zariya, we want to create a passionate, mission driven society, where each individual contributes to the economy through innovation and discovery of new knowledge.
Our algorithm utilises your interests, personality, learning style and tailors an intricately personalised educational experience. Such an experience helps you recognize and mend your weaknesses, capitalise on your strenghts, and build a strong passion in the area of your interest.
An educational experience is incomplete without classmates, who challenge us and help us grow.  We organize quizzes, contests and innovation battles, in which you can team up with your fellow classmates and enrich your experience.
We believe that no one should be denied a quality education. As a result, we run on a low cost subscription-based model. This enables student to pay according to their usage and keeps the overall costs low. Along with this, we regularly give out merit-based scholarships to qualified students
Our product is optimized to run on most network connections, and can be accessed by anyone from anywhere.
To increase practicality in the cirriculum and ability of students to apply concepts to real life, we use augmented and virtual reality to power our content. This helps us to create an amazing technology stack that uses data analytics and robust user adaptation models to aid our students.
We put massive emotional investment in each of our student. Our main goal is to set them up for success and global contribution by helping them find their passions and aspirations. Therefore, each student is assigned a personal mentor who provides them a emotional and professional support to reach their goals in life.


{% extends 'base.html' %} {% block title %} KR University {% endblock %} {% block content %}
Welcome to KR University.
Click on Get Started to view details.


My Aadhar,My Identity
{{error1}}
Aadhaar Number*
Captcha*
Please provide consent for providing OTP
Generate OTP


Man hurt in New Orleans hotel collapse may be deported to Honduras
by The Associated Press, StaffNEW ORLEANS - A construction worker hurt in the collapse of New Orleans hotel may be deported to his home country of Honduras.
The Times-Picayune/The New Orleans Advocate reports Delmer Joel Ramirez Palma was arrested by immigration authorities days after the Oct. 12 collapse that killed three people and injured dozens more. His initial deportation order was issued in 2016.
Ramirez Palma had spoken out about unsafe conditions at the construction site. Advocates and attorneys say deporting him would complicate the probe into the collapse and silence other witnesses who are in the country without proper documentation.
A New Orleans Workers' Center for Racial Justice attorney and Ramirez Palma's wife say they believe he may be deported Monday.
Federal authorities say they won't comment on deportation plans for security reasons.


PRESTON AND BLACKPOOL COURT BLOG: Man accused of rape set to appear
by Stef HallGood morning and welcome to the Lancashire Post's live court blog, bringing you the latest from the Magistrates' Court, Preston Crown Court and Sessions House.
There are around 16 criminal courtrooms across Preston, as well as civil court rooms, and cases from across Lancashire's cities and towns - and sometimes Cumbria and Greater Manchester - are heard in them.


Information
All details about
#hacktoberfest
.
To join this project, visit my
GitHub repository
.
Contributors
Amit kumar
ansdb


| # | Login ID | Display Name | Role | Actions |
|---|---|---|---|---|
| 1 | Abdul19901 | Baten | Field officer | Details Edit Delete |
| 1 | Kamrul056001 | Kamrul | Field officer | Details Edit Delete |
| 1 | Atahar10001 | Atahar | Field officer | Details Edit Delete |
| 1 | Khalil178001 | Khalil | Union worker | Details Edit Delete |
| 1 | Rashid13001 | Rashid | Field officer | Details Edit Delete |
| 1 | Harun10001 | Harun | Field officer | Details Edit Delete |
| 1 | Asmani40001 | Asmani | Field officer | Details Edit Delete |
| User Role | Field Officer | Union Worker | Union Field Manager | District Field Manager | HQ Staff | Role 6 | Role 7 | Role 8 | Role 9 | Role 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Mokhles Khan |
| Name: | Hamid Khan |
| ID: | 0556770 |
| Role: | Field Officer |
| Hire date: | 06/23/2013 |
| Date of Birth | 01/24/1988 |
| Gender | Male |
| Home Address | Metro Manila,Philippines |
|<EMAIL_ADDRESS>| |
| Phone Number | 123-4567-890(Landline) 555-4567-890(Mobile) |
| Quarterly survey | 123-4567-890 |
| Pending alert |
Alert!
Danger alert : 3
Alert!
Info alert : 5
Alert!
Warning alert : 3
Alert!
Success : 3 alerts addressed |
| Household visit | 10,003 |
| Household progress |
|
| Name: | Shopna Khatun |
| ID: | 0556770 |
| Role: | Union Field Manager |
| Hire date: | 06/23/2013 |
| Date of Birth | 01/24/1988 |
| Gender | Male |
| Home Address | Metro Manila,Philippines |
|<EMAIL_ADDRESS>| |
| Phone Number | 123-4567-890(Landline) 555-4567-890(Mobile) |
| Quarterly survey | 123-4567-890 |
| Pending alert |
Alert!
Success alert preview. This alert is dismissable. |
| Household visit | 10,003 |
| Household progress |
|
| Name: | Halema Khatun |
| ID: | 5460770 |
| Role: | Field Officer |
| Hire date: | 06/23/2013 |
| Date of Birth | 01/24/1988 |
| Gender | Female |
| Home Address | Metro Manila,Philippines |
|<EMAIL_ADDRESS>| |
| Phone Number | 124-4565-890(Landline) 553-4563-890(Mobile) |
| Quarterly survey | 123-4567 |
| Pending alert |
Alert!
Danger alert preview. This alert is dismissable. A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. |
| Household visit | 10,003 |
| Household progress |
|


---
layout: post
title: Hello World again
date: '2008-08-09T10:15:00.000-07:00'
author: "aanishn"
tags:
- PyKDE4
- KDE4
modified_time: '2008-08-09T10:25:03.251-07:00'
blogger_id: tag:blogger.com,1999:blog-6841995940093616127.post-6633232755127554498
blogger_orig_url: http://aanishnn.blogspot.com/2008/08/hello-world-again.html
---
Time to say hello again, this time the PyKDE4 way
#!/usr/bin/python
import sys
from PyKDE4.kdecore import *
from PyKDE4.kdeui import *
about = KAboutData( "hellokde",
"",
ki18n("Say hello, world the KDE4 way..."),
"0.1")
KCmdLineArgs.init( sys.argv, about )
hello = KApplication()
KMessageBox.messageBox( None,
KMessageBox.Information,
"hello, world !!",
"Hello World Application" )


---
title: Special Events Volunteers
layout: default
---
Special Events
Volunteers are an essential element of Red Butte Garden special events such as: Spring and Fall Plant Sales, Outdoor Concert Series, Garden After Dark, Family Fun Nights, Arbor Day Celebration, and more.
Specific opportunities include customer service, hosting crafts and activities, running information booths, taking tickets, selling items, greeting guests, and other assignments. Excellent customer service is required and an ability to work in a fast pace atmosphere with a smile. Age requirement dependent on event.
Special Event volunteers must be willing to work outdoors in a variety of weather conditions.
Available: Year-round. Must commit to a variety of events.
Training: Training is required for some events.


Paths of Glory (1957)
Grade: 82
"Paths of Glory" is an excellent anti-war film that dramatizes the enormous gap between the enlisted men who do the fighting and the officers who take the credit. "Paths of Glory" was banned in France for many years, but the story, based on a true incident, is timeless and can apply to any military or political situation.
The setting is France in 1916. World War I has dragged on for two years, and become a stalement of fortified trenches and heavy casualties. Commander Broulard (Adolphe Menjou) asks General Mireau (George Macready) to have his decimated division take the "Ant Hill", an impregnable fortress, promising Mireau a promotion if he succeeds.
Mireau orders Lieutenant Dax (Kirk Douglas) to carry out the mission, which is a complete failure with heavy casualties. To place blame elsewhere, Mireau then orders the court martial for cowardice (under penalty of execution) of three arbitrarily chosen soldiers (Ralph Meeker, Joseph Turkel and Timothy Carey).
Douglas is perfectly cast for the role. He seethes with indignation throughout. Emile Meyer gives an excellent performance as a priest. Macready, whose character is a pompous jerk, is also excellent. There are only a few battle scenes, but they are well done.
"Paths of Glory" isn't perfect. Bert Freed's alcoholic sergeant character is a bit muddled. The three unlucky soldiers show extreme cowardness and bitterness prior to their execution, especially pathetically sobbing Carey. And perhaps the depiction of military brass as cynical, ambitious and self-serving is a little overdone.
Directed by Stanley Kubrick, "Paths of Glory" was not a box office success, and was not nominated for any Academy Awards. Kubrick and Douglas teamed up again three years later for "Spartacus", an inferior but much more successful film. Kubrick would make another anti-war film, "Full Metal Jacket", thirty years later.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Written statement to Parliament
Schools Minister David Laws’ written ministerial statement on reforms to primary and 16 to 19 accountability.
I am today announcing the final elements of our schools accountability reform programme: reforms to primary and 16 to 19 accountability from 2016. This builds on our plans for secondary school accountability.
Progress will now be the most important way in which we will hold schools and colleges to account. The new accountability system will be fairer, measuring the progress that students make while at school or college. This ensures that all students receive equal attention: we will measure the progress that all students make whatever their starting point. This will prevent the unfair focus on those at threshold borderlines.
To help all parents and students to compare schools and colleges, we will require all schools and colleges to publish the key information for primary, secondary and 16 to 19 phases on their websites in a standard format. This information will clearly show the progress that students make, their attainment and how well they do in English and mathematics.
We are resetting the standard for success for primary schools. Expectations are currently too low (level 4c in English and mathematics). In 2012, fewer than half the pupils who had only just reached this expected standard went on to achieve 5 good GCSEs. Under the new system, we will expect schools to support at least 85% of their pupils to achieve a new higher standard (closer to the present 4b level). With the continued improvement in teaching, the sharper focus of the new curriculum and increased funding, results should rise.
We have invested through the pupil premium so that schools can give disadvantaged pupils the help they need. With more than 1.1 million pupils from reception to year 6 currently benefiting, schools receive £953 for each primary-age pupil rising to £1300 from April 2014.
To judge schools’ progress more fairly, we will work with experts to introduce a new assessment taken during reception as the baseline. This will sit within teachers’ broader ongoing assessments of children’s development and progress throughout reception. The reception baseline will be used to assess schools’ progress for children who start reception in September 2016 and beyond. Schools that choose not to use an approved baseline assessment from 2016 will be judged on the 85% attainment standard alone.
From September 2016, the early years foundation stage ( EYFS ) profile will no longer be compulsory. The EYFS will continue to be statutory and the basis for Ofsted inspection of early year settings including children in a school nursery and reception classes, thereby ensuring children receive a broad education and are able to learn and thrive in school.
I can also confirm today that the grammar, punctuation and spelling test will not form part of the primary floor standard in 2014.
Our changes to 16 to 19 accountability support the reforms we have already made to improve the quality of 16 to 19 education and training. The introduction of study programmes and traineeships last September, the reforms to A levels and vocational qualifications and the emphasis on English and mathematics support our ambitions to make sure that students in this country can compete with the best in the world.
We will introduce new, fairer minimum standards for 16 to 19 providers. Wherever data allows it we will use progress measures. This will apply to academic and applied general qualifications. Where the data is not robust enough, we will use a combined completion and attainment measure.
We will introduce 5 headline measures of performance for all 16 to 19 providers to give a broader picture of educational outcomes than attainment alone. These headline measures include:
We believe that the single most important outcome for any school or college is to give as many students as possible the knowledge and skills to flourish in the later phases of education and life. The reforms that I have set out today set the framework for schools and colleges to meet this challenge: ensuring all children move on to secondary school ready to succeed and all 16 to 19 students can move into further or higher education or employment.
Published: 27 March 2014