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This unique instrument, created especially for Elton by Yamaha, is an engineering marvel. It fea - tures more than 68 LED video screens, and took nearly four years to construct. The piano is the perfect accompaniment to Elton’s music, displaying imag - ery to complement his greatest hits, such as Bennie And The Jets, Rocket Man, Saturday Night’s Alright (For Fighting) and Circle of Life. This onstage line-up, never before seen at an Elton John concert, heralded Elton’s three-year residency at The Colosseum, with Creative Direction by Mark Fisher and Patrick Woodroffe.
On September 23, 2011, Elton celebrated his ruby Las Vegas anniversary — 40 years since he first played there — with the debut of the astonishing new show, The Million Dollar Piano. Aside from his band, Davey Johnstone (guitars and vocals), Nigel Olsson (drums and vocals), the late Bob Birch (bass), John Mahon (percussion and vocals) and Kim Bullard (keyboards) plus 2CELLOS (Stjepan Hauser and Luka Sulic), backing vocalists Rose Stone, Tata Vega, Jean Witherspoon and Lisa Stone, and percussionist Ray Cooper, Elton shared the stage with another shining star — The Million Dollar Piano.
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Open Angel Arena 3.13.6 Update
General Changes
Fixed Hero Selection on 10vs10 map.
Fixed Clinkz Strafe not having sound.
Fixed items build order (priority).
Example: You have Deadalus 3, Bloodthorn 3 and a recipe for Bloodthorn 4 in your inventory. When you get an Upgrade Core 3 your Bloodthorn 3 will be upgraded into Bloodthorn 4 instead of Deadalus 3.
Uber Roshan (Roshan tier 5) BAT improved from 0.4 to 0.2
Uber Roshan (Roshan tier 5) health increased from 900 to 20000.
Item Changes
Bloodstone:
Mana regen bonus per charge reduced from 0.4/0.5/0.6/0.7/0.8 to 0.4
Now its the same mana regen bonus per charge for every tier.
Orchid Malevolence:
Added Orchid Malevolence tier 2.
Orchid Malevolence 2 can now be upgraded into Bloodthorn 3.
Hero Changes
Ancient Apparition:
Ice Vortex cooldown increased from 4 to 6 seconds.
Ice Blast percentage health kill threshold decreased from 8/9/10/11/12% to 0%.
Also known as Shatter threshold.
Brewmaster:
Primal Split level 4 cooldown increased from 95 to 100 seconds.
Primal Split level 4 duration decreased from 22 to 20 seconds.
Primal Split level 5 cooldown increased from 90 to 100 seconds.
Primal Split level 5 duration decreased from 24 to 20 seconds.
Primal Split's Earth level 4 armor increased from 5 to 10.
Primal Split's Earth level 4 mana increased from 600 to 800.
Primal Split's Earth level 5 armor increased from 5 to 15.
Primal Split's Earth level 5 mana increased from 600 to 1400.
Chatterjee:
Base Armor decreased from 5.5 to 3.5
Starting armor is now 5.6
Base Attack Damage decreased from 70-78 to 58-64.
Starting attack damage is now 81-87.
Base Movement Speed decreased from 300 to 295.
Pugna:
Nether Ward damage per used mana decreased from 1.25/1.5/1.75/2/3/4.5 to 1.25/1.5/1.75/2/2.5/3.
Spirit Breaker:
Greater Bash move speed as damage percent decreased from 30/60/90/120/180/240% to 30/50/70/90/150/210%.
Storm Spirit:
Ball Lightning cast point increased from 0.3 to 0.4
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ZIP: 173 Title: Bech32 Format Owners: Daira Emma Hopwood<EMAIL_ADDRESS>Credits: Pieter Wuille<EMAIL_ADDRESS>Greg Maxwell<EMAIL_ADDRESS>Rusty Russell Mark Friedenbach Status: Final Category: Standards / Wallet Created: 2018-06-13 License: MIT
The key words "MUST", "MUST NOT", "SHOULD", and "SHOULD NOT" in this document are to be interpreted as described in RFC 2119. 1
The term "network upgrade" in this document is to be interpreted as described in ZIP 200. 4
The term "Sapling" in this document is to be interpreted as described in ZIP 205. 5
This document proposes a checksummed base32 format, "Bech32", and a standard for Sapling addresses and keys using it.
Since launch, Zcash has relied on Base58 addresses with a truncated double-SHA256 checksum, inherited from Bitcoin. They were part of the original Bitcoin software and their scope was extended in BIP 13 6 for P2SH (Pay-to-Script-Hash) addresses. However, both the character set and the checksum algorithm have limitations:
To address these issues, Bitcoin adopted a new encoding called Bech32 7, for use with address types added by its Segregated Witness proposal. Zcash does not implement Segregated Witness, but it reuses Bech32 with address and key types introduced by the Sapling network upgrade 5.
Since the description of Bech32 in 7 is partially entangled with Segregated Witness address formats, we have found it clearer to write this ZIP to specify Bech32 separately. This specification should be read in conjunction with section 5.6 ("Encodings of Addresses and Keys") of the Zcash Sapling protocol specification 2, and with ZIP 32 which specifies additional key types for support of shielded hierarchical deterministic wallets 3.
We describe the general checksummed base32 format called ''Bech32''. Its use for Sapling payment addresses and keys is defined in the Sapling protocol specification 2.
A Bech32 string consists of:
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| +0 | q | p | z | r | y | 9 | x | 8 |
| +8 | g | f | 2 | t | v | d | w | 0 |
| +16 | s | 3 | j | n | 5 | 4 | k | h |
| +24 | c | e | 6 | m | u | a | 7 | l |
The last six characters of the data part form a checksum and contain no information. Valid strings MUST pass the criteria for validity specified by the Python3 code snippet below. The checksum is defined so that the function bech32_verify_checksum
returns true when its arguments are:
hrp
: the human-readable part as a string;data
: the data part as a list of integers representing the characters after conversion using the table above.def bech32_polymod(values): GEN = [0x3b6a57b2, 0x26508e6d, 0x1ea119fa, 0x3d4233dd, 0x2a1462b3] chk = 1 for v in values: b = (chk >> 25) chk = (chk & 0x1ffffff) << 5 ^ v for i in range(5): chk ^= GEN[i] if ((b >> i) & 1) else 0 return chk def bech32_hrp_expand(s): return [ord(x) >> 5 for x in s] + [0] + [ord(x) & 31 for x in s] def bech32_verify_checksum(hrp, data): return bech32_polymod(bech32_hrp_expand(hrp) + data) == 1
This implements a BCH code; in the case where the encoded string is at most 90 characters, this code guarantees detection of any error affecting at most 4 characters and has less than a 1 in 109 chance of failing to detect more errors. More details about the properties can be found in the Checksum Design section. The human-readable part is processed by first feeding the higher 3 bits of each character's US-ASCII value into the checksum calculation followed by a zero and then the lower 5 bits of each US-ASCII value.
To construct a valid checksum given the human-readable part and (non-checksum) values of the data-part characters, the code below can be used:
def bech32_create_checksum(hrp, data): values = bech32_hrp_expand(hrp) + data polymod = bech32_polymod(values + [0,0,0,0,0,0]) ^ 1 return [(polymod >> 5 * (5 - i)) & 31 for i in range(6)]
One of the properties of these BCH codes is that they can be used for error correction. An unfortunate side effect of error correction is that it erodes error detection: correction changes invalid inputs into valid inputs, but if more than a few errors were made then the valid input may not be the correct input. Use of an incorrect but valid input can cause funds to be lost irrecoverably. Because of this, implementations SHOULD NOT implement correction beyond potentially suggesting to the user where in the string an error might be found, without suggesting the correction to make.
The lowercase form is used when determining a character's value for checksum purposes.
Encoders MUST always output an all-lowercase Bech32 string. If an uppercase version of the encoding result is desired (e.g. for presentation purposes, or QR code use), then an uppercasing procedure can be performed external to the encoding process.
Decoders MUST NOT accept strings where some characters are uppercase and some are lowercase (such strings are referred to as mixed-case strings).
For presentation, lowercase is usually preferable, but inside QR codes uppercase SHOULD be used, as those permit the use of alphanumeric mode, which is 45% more compact than the byte mode that would otherwise be used.
Software interpreting a Bech32-encoded address MUST first verify that the human-readable part matches that of a specified address type, and similarly for keys.
If this check passes, convert the rest of the data to bytes:
Decoders SHOULD enforce known-length restrictions on address and key types.
For example, 2 specifies that the length of the raw encoding of a Sapling payment address is 43 bytes (88 + 256 bits). This results in a Bech32-encoded Sapling payment address being 78 characters long.
Only software supporting the Sapling network upgrade is able to use these addresses.
There is no effect on support for transparent addresses and keys, or for Sprout z-addresses and keys; these will continue to be encoded using Base58Check, and MUST NOT be encoded using Bech32.
The lack of mixed case makes it more efficient to read out loud or to put into QR codes. It does come with a 15% length increase. However, the length of a Bech32-encoded Sapling payment address remains below 80 characters, which reduces the likelihood of line splitting in terminals or email. Thus, cutting-and-pasting of addresses is still reliable.
"Bech" contains the characters BCH (the error detection algorithm used) and sounds a bit like "base". The term Bech32 is established for Bitcoin and there was no reason to use a different name for it in Zcash Sapling.
This was not considered to be sufficiently well-motivated given the compatibility issues that would arise from having two formats for these address types, with pre-Sapling software not supporting the new format.
That way the human-readable part is unambiguously separated from the data part, avoiding potential collisions with other human-readable parts that share a prefix. It also allows us to avoid having character-set restrictions on the human-readable part. The separator is ''1'' because using a non-alphanumeric character would complicate copy-pasting of addresses (with no double-click selection in several applications). Therefore an alphanumeric character outside the normal character set was chosen.
Existing character sets for base-32 encodings include RFC 3548 and z-base-32. The set used for Bech32 was chosen to minimize ambiguity according to this visual similarity data, and the ordering is chosen to minimize the number of pairs of similar characters (according to the same data) that differ in more than 1 bit. As the checksum is chosen to maximize detection capabilities for low numbers of bit errors, this choice improves its performance under some error models.
This design choice had a rationale for Bitcoin Segregated Witness addresses (see 7) that does not apply to Zcash Sapling addresses. It is retained for compatibility with Bech32 encoders/decoders written for Bitcoin.
zcashd
:
Note that the encoders written for Bitcoin may make assumptions specific to Segregated Witness address formats that do not apply to Zcash. Only the Python one has been tested with Zcash at the time of writing.
TODO: add valid Sapling payment addresses and keys, and their corresponding raw encodings.
The following strings are valid Bech32:
A12UEL5L
a12uel5l
an83characterlonghumanreadablepartthatcontainsthenumber1andtheexcludedcharactersbio1tt5tgs
abcdef1qpzry9x8gf2tvdw0s3jn54khce6mua7lmqqqxw
11qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqc8247j
split1checkupstagehandshakeupstreamerranterredcaperred2y9e3w
?1ezyfcl
The following strings are not valid Bech32 (with reason for invalidity):
1nwldj5
: HRP character out of range1axkwrx
: HRP character out of range1eym55h
: HRP character out of rangepzry9x0s0muk
: No separator character1pzry9x0s0muk
: Empty HRPx1b4n0q5v
: Invalid data characterli1dgmt3
: Too short checksumde1lg7wt
+ 0xFF: Invalid character in checksumA1G7SGD8
: checksum calculated with uppercase form of HRP10a06t8
: empty HRP1qzzfhee
: empty HRPbc1qw508d6qejxtdg4y5r3zarvary0c5xw7kv8f3t5
: Invalid checksumtb1qrp33g0q5c5txsp9arysrx4k6zdkfs4nce4xj0gdcccefvpysxf3q0sL5k7
: Mixed casebc1zw508d6qejxtdg4y5r3zarvaryvqyzf3du
: Zero padding of more than 4 bitstb1qrp33g0q5c5txsp9arysrx4k6zdkfs4nce4xj0gdcccefvpysxf3pjxtptv
: Non-zero padding in 8-to-5 conversionBCH codes can be constructed over any prime-power alphabet and can be chosen to have a good trade-off between size and error-detection capabilities. Unlike Reed-Solomon codes, they are not restricted in length to one less than the alphabet size. While they also support efficient error correction, the implementation of just error detection is very simple.
We pick 6 checksum characters as a trade-off between length of the addresses and the error-detection capabilities, as 6 characters is the lowest number sufficient for a random failure chance below 1 per billion. For the length of data we're most interested in protecting (up to 77 bytes excluding the separator, for a Sapling payment address), BCH codes can be constructed that guarantee detecting up to 4 errors. Longer data is also supported with slightly weaker error detection.
Many of these codes perform badly when dealing with more errors than they are designed to detect, but not all. For that reason, we consider codes that are designed to detect only 3 errors as well as 4 errors, and analyse how well they perform in practice.
The specific code chosen here is the result of:
As a naive search would require over 6.5 * 1019 checksum evaluations, a collision-search approach was used for analysis. The code can be found here.
The following table summarizes the chances for detection failure (as multiples of 1 in 109).
| Window length | Number of wrong characters | ||||||
| Length | Description | ≤4 | 5 | 6 | 7 | 8 | ≥9 |
| 8 | Longest detecting 6 errors | 0 | 1.127 | 0.909 | n/a | ||
| 18 | Longest detecting 5 errors | 0 | 0.965 | 0.929 | 0.932 | 0.931 | |
| 19 | Worst case for 6 errors | 0 | 0.093 | 0.972 | 0.928 | 0.931 | |
| 39 | Length ≤ 39 characters | 0 | 0.756 | 0.935 | 0.932 | 0.931 | |
| 59 | Length ≤ 59 characters | 0 | 0.805 | 0.933 | 0.931 | ||
| 71 | Length ≤ 71 characters | 0 | 0.830 | 0.934 | 0.931 | ||
| 89 | Longest detecting 4 errors | 0 | 0.867 | 0.933 | 0.931 |
TODO: fill in table for a Sapling payment address, and check the following paragraph.
This means that when 5 changed characters occur randomly distributed in the 77 characters (excluding the separator) of a Sapling payment address, there is a chance of at most 0.867 per billion that it will go undetected. When those 5 changes occur randomly within a 19-character window, that chance goes down to 0.093 per billion. As the number of errors goes up, the chance converges towards 1 in 230 = 0.931 per billion.
The chosen code performs reasonably well up to 1023 characters, but is best for lengths up to 89 characters (excluding the separator). Since the search for suitable codes was based on the requirements for Bitcoin P2WPKH and P2WSH addresses, it is not quite optimal for the address lengths used by Sapling, but the advantages of compatibility with existing Bitcoin libraries were considered to outweigh this consideration.
This document is closely based on BIP 173 written by Pieter Wuille and Greg Maxwell, which was inspired by the address proposal by Rusty Russell and the base32 proposal by Mark Friedenbach. BIP 173 also had input from Luke Dashjr, Johnson Lau, Eric Lombrozo, Peter Todd, and various other reviewers.
| 1 | RFC 2119: Key words for use in RFCs to Indicate Requirement Levels |
|---|
| 2 | Zcash Protocol Specification, Version 2021.2.16 or later |
|---|
| 3 | ZIP 32: Shielded Hierarchical Deterministic Wallets |
|---|
| 4 | ZIP 200: Network Upgrade Mechanism |
|---|
| 5 | ZIP 205: Deployment of the Sapling Network Upgrade |
|---|
| 6 | BIP 13: Address Format for pay-to-script-hash |
|---|
| 7 | BIP 173: Base32 address format for native v0-16 witness outputs |
|---|


Component: SerialActiveMessageC
configuration SerialActiveMessageC
Author:
Phil Buonadonna
Lewis Girod
Ben Greenstein
Philip Levis
Date:
August 7 2005
Provides
interface
AMPacket
interface
AMSend
[am_id_t]
interface
Packet
interface
PacketAcknowledgements
interface
Receive
[am_id_t]
interface
SplitControl
Uses
interface
Leds
Wiring


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---
layout: default
permalink: /release/release-notes-:title
---
{% assign latest = site.releases | where: 'released', 'true' | sort: 'date' | last %}
The release below is from prior to Guacamole's acceptance into
the Apache Incubator. It is not an Apache Software Foundation
release, and is licensed under the MIT license. The latest
release of Apache Guacamole is {{
latest.title }}.
{% include legacy-download-list.html
title="Compatible extensions"
entries=page.extensions %}
{% include legacy-download-list.html
title="Web application (.war)"
entries=page.binary-war %}
{% include legacy-download-list.html
title="Source"
entries=page.source-archives %}
{% include link-list.html
title="Release documentation"
entries=page.documentation %}
Guacamole {{ page.title }}
{{ content }}


; My simple documenter
;
; Convert lisp code to markdown. Strings are printed verbatim.
; defuns, defmacros, defmethods, defclass, defstructs get their doco
; string pulled, then topped with a
 heading. And a table of
; contents is added to the top of page.
;
; Note: 30 lines of code! :wink:
;
; Usage:
;
; cat file.lisp | lisp doc.lisp
;
; The system is controlled by two variables:
;
; - The `want` variable. An entry (e.g.) `(defun . 3)`
; says that we will display lists starting with `defun`
; if it has a doc string as element `3`
; (which means the fourth thing in the list).
; - The `fmt` variable which controls how we render
; something's name, synopsis, and doc string.
;
(defvar *fmt*
"~%### ~(~a~)
_Synopsis:_ `~(~S~)`
~a

(..)
```lisp
~(~S~)
```

")
(defvar *want* '((defun . 3) (defclass . 3)
(defmacro . 3) (defstruct .


Edo is prepared for industries, says Obaseki
by Agency ReportThe Edo State Governor, Mr Godwin Obaseki, has said his administration will not relent in transforming the state into a hub for industries, which will improve the economic fortunes of residents.
The governor, who was represented by Head, Edo State Investment Promotion Office, Mr Kelvin Uwaibi, said this while delivering a paper at the Equipment Leasing Association of Nigeria’s 17th National Lease Conference, themed ‘Promoting leasing for inclusive growth’.
He said the state government would continue to work to improve the ease of doing business, with policies aimed at creating a conducive and favourable business environment for foreign and local investors.
Obaseki said, “In the last three years, Edo State has created an enabling environment to attract investors.
“The state is Nigeria’s best-kept secret with an all-year-round climate for cultivation of crops, among other endowments.”
He added that Edo State was open for investors and businesses and would continue to improve the ease of doing business.
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All rights reserved. This material, and other digital content on this website, may not be reproduced, published, broadcast, rewritten or redistributed in whole or in part without prior express written permission from PUNCH.
Contact: theeditor@punchng.com


As a team, clean and simple with our valuable clients, authentic in approach work to provide palpable results. Provide all your IT needs and services. We will help your business to grow.
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Syncy Wave is a company that is solving business problems having outlived Two years accomplished in this field. Our major focus is our valuable customers and their satisfaction. So, We are using agile framework and CRM System for enhanced consumer relations. Mobile, Web application development, Social media campaigns and many more services are provided by us.
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Private, Secure and Reliable company email maintenance services.
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At Syncy Wave, We believe that you should HAPPY at where you work. Join & share your expireance with our family.
We are looking for Software Engineers (Intern) who will be responsible for architecting solutions for full-scale development projects.
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{% extends "layout.html" %} {% block body %}
Welcome to the UMBC WatchDog. If you would like to document a crime, click the button below, if you would like to submit the report to the UMBC police, click "send report" at the end.


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Publications
M.S. Ikbal, V. Ramadoss and M. Zoppi, "Dynamic Pose Tracking Performance Evaluation of HTC Vive Virtual Reality System," in IEEE Access, vol. 9, pp. 3798-3815, 2021
A. Sharma,M.S. Ikbal and M. Zoppi, "Acausal Approach to Motion Cueing," in IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 1013-1020, April 2019
Sharma, A., Ikbal, M.S., Cuong, D.T. et al. A sliding mode-based approach to motion cueing for virtual reality gaming using motion simulators. Virtual Reality 25, 95–106 (2021)
Ramadoss V.,Ikbal, M.S., Zlatanov D., Zoppi M. (2020) Design of Serial Link Structure-Parallel Wire System for Virtual Reality Rehabilitation and Assessment. In: Zeghloul S., Laribi M., Sandoval Arevalo J. (eds) Advances in Service and Industrial Robotics. RAAD 2020. Mechanisms and Machine Science, vol 84. Springer, Cham
V. Ramadoss, K. Sagar, M.S. Ikbal, D. Zlatanov and M. Zoppi, "Modeling and Stiffness Evaluation Of Tendon-Driven Robot For Collaborative Human-Robot Interaction," in IEEE International Conference on Intelligence and Safety for Robotics, 2021
Immanvel, A., M. Manikandan, I. Mohamed Sadiq, R. Sridhar, and K. Velmurugan. "Design and Fabrication of Pomegranate Aril (PULP) Extractor." International Journal of Innovative Research in Science, Engineering and Technology 3 (2014): 1218-1221


|
AAX SDK
2.3.1
Avid Audio Extensions Development Kit
|
Sequence diagrams for some common parameter update scenarios.
DTF_AUTOMATION=file@DTP_LOW
in the DigiTrace configuration file.This is the sequence of calls for a basic, unlinked parameter update triggered by the user. For this sequence, we assume that the edit was triggered by a GUI event.
Note that this diagram assumes a GUI implementation that uses SetParameterNormalizedValue(). The implementation could also use other parameter set methods, either in AAX_IEffectParameters or directly on an AAX_IParameter. The overall sequence would remain the same.
Updates from control surfaces are handled in exactly the same way. In this case, though, the parameter touch, set value, and release tokens are generated by the control surface.
Automation playback handling is similar to the handling for user-generated parameter updates. However, parameters are never touched/released during automation playback. This allows touches from other clients, such as the GUI or control surfaces, to override the automation playback.
This is the sequence of calls for the initial parameter updates made during data model initialization. Steps that are redundant with sections of the standard user-generated update sequence are elided.


OSSVoice
@available(iOS 9.0, *)
public class OSSVoice : AVSpeechSynthesisVoice
OSSVoice overides some of the properties provided to enable setting as well as getting.
The purpose of this class is so that a single voice object can be set and reused through the Speech instance. Properties have been overriden for this very purpose.
Setting the voice quality to be .enhanced
instead of .default
and the resetting of language after creation is not enabled in the AV provided API instance of AVSpeechSynthesisVoice.
Note
If init() is called, the default quality of OSSVoice will us “default” and the language will be “OSSVoiceEnum.UnitedStatesEnglish”.-
You have access to set the voice quality or use the default which is set to .default
Declaration
Swift
override public var quality: AVSpeechSynthesisVoiceQuality { get set }
-
Language offers a get and set. The default value is United States English.
Declaration
Swift
override public var language: String { get set }
-
Returns the current voice type enum to allow for obtining details.
Declaration
Swift
public var voiceType: OSSVoiceEnum { get }
-
If this init is used, defaults will be used.
This method will set default values on the language and quality of voice.
Langague defaults to United States English.
Quality defaults to .default.
Declaration
Swift
public override init()
-
This init method is required as it sets the voice quality and language in order to speak the text passed in.
Declaration
Swift
public init?(quality: AVSpeechSynthesisVoiceQuality, language: OSSVoiceEnum)
-
Required: Do not recommend using.
Declaration
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The API calls are divided into three sections. The first is for schema metadata, then actual data, then asset calls.
The API includes several calls to return information about node and relationship types in the graph.
To retrieve the list of node types call graph/listnodetypes
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To retrieve the properties for a node specify the ID as the end of the URL or a query parameter.
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To search just by relationship type try graph/rels/?type=[reltype]&max=20
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asset/search/?content=[some content]
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Last updated: 2017-08-29
Code version: 8d27e6d
Logo plot is based on the position weight matrix(PWM), which is transformed from the position frequency matrix(PFM). PFM consists of the counts for each base at each position. This is a typical example of compositional data, which is used to describe the constituents of discrete sample space.
Suppose for a specific position of a TFBS, the compositional data is \[ (A, C, G, T) : = (6, 1, 2, 1) \] and one another case is \[ (A, C, G, T) : = (600, 100, 200, 100). \] And the background probability is assumed to be equal for the four bases. If we transform the counts data into PWM by using the sample proportion, then the estimated proportions for the four bases are the same in both cases. However, in the second case, we have total 1000 samples while only 10 samples in the first case. Hence, we would consider to shrink the estimates to the background probability more strongly in the first case than that in the second case, for the reason that the force of data is stronger in the second scenarios.
To address these questions, we propose Dirichlet adaptive shrinkage(dash) for compositional data. Assume that there are \(L\) constituents in the compositional mix. \(L\) equals \(4\) (corresponding to A,C, G and T bases) for the transcription factor data and \(20\) corresponding to the amino acids for the protein sequence data.
Suppose there are \(L\) categories and \(n\) compositional samples. Here, \(n\) represents the number of positions for a TF. We model these compositional counts vectors as follows
\[ (c_{n1}, c_{n2}, \cdots, c_{nL}) \sim Mult \left ( c_{n+} : p_{n1}, p_{n2}, \cdots, p_{nL} \right ) \]
where \(c_{n+}\) is the total frequency of the different constituents of the compositional data observed for the \(n\) th base. \(p_{nl}\) here represents the compositional probabilities such that
\[ p_{nl} >= 0 \hspace {1 cm} \sum_{l=1}^{L} p_{nl} = 1 \]
We then choose the Dirichlet prior distribution on the \((p_{n1}, p_{n2}, \cdots, p_{nL})\). In order to achieve the adaptive shrinkage property, we assume a mixture of known Dirichlet priors, each having mean same as the background mean but with varying amounts of concentration, along with unknown mixture proportions to be estimated from the data. \[ \left ( p_{n1}, p_{n2}, \cdots, p_{nL} \right ) : = \sum_{k=1}^{K} \pi_{k} Dir \left (\alpha_{k} \mu_{k1}, \alpha_{k} \mu_{k2}, \cdots, \alpha_{k} \mu_{kL} \right ) \hspace {1 cm} \alpha_{k} > 0 \hspace{1 cm} \sum_{l=1}^{L} \mu_{kl} = 1 \] We assume a prior of \(\pi_{k}\) to be Dirichlet
\[ f(\pi) : = \prod_{k=1}^{K} {\pi_{k}}^{\lambda_{k}-1} \]
We choose a default set of \(\alpha_{k}\) to be \((Inf, 100, 50, 20, 10, 2, 1, 0.1, 0.01)\). In this case \(\alpha_{k}=Inf\) corresponds essentially to point mass at the prior means, and then the subsequent choices of \(\alpha_{k}\) have lower degree of concentration. $_{k} = $ corresponds to the most uniform scenario, whereas \(\alpha_{k} < 1\) correspond to cases with probability masses at the edges of the simplex but with the mean at the prior mean. These components would help to direct the points close to the corners towards the corners and away from the center, resulting in clearer separation of the points closer to the mean with the ones away from it.
We choose the prior amount of shrinkage of \(\pi_{k}\), namely \(\lambda_{k}\) to be \(\left( 10, 1, 1, 1, \cdots, 1 \right )\).
We apply dash to PFMs with small, medium and high total frequencies(\(c_{n+}\)). The total frequencies in the three cases are 5,20 and 114. Firstly, the logo plots are compared and then negative logo plot.
Logo plots:
library(Logolas)
library(grid)
library(dash)
pfm1=cbind(c(1,2,1,1),c(0,0,5,0),c(0,3,1,1),c(0,5,0,0),c(0,3,0,2),c(0,0,5,0),c(2,1,2,0),c(0,0,5,0),c(1,1,0,3))
pfm2=cbind(c(1,9,5,5),c(1,16,2,1),c(1,1,18,0),c(1,0,2,17),c(18,1,0,1),c(1,18,0,0),c(1,2,16,1),c(6,4,7,3),c(2,12,1,5),c(8,5,5,2))
pfm3=cbind(c(31,8,46,29),c(1,2,25,86),c(12,34,11,57),c(3,1,106,4),c(1,110,1,2),c(3,1,109,1),c(0,3,1,110),c(0,0,114,0),c(33,57,6,18))
rownames(pfm1)=c('A','C','G','T')
colnames(pfm1)=1:ncol(pfm1)
rownames(pfm2)=c('A','C','G','T')
colnames(pfm2)=1:ncol(pfm2)
rownames(pfm3)=c('A','C','G','T')
colnames(pfm3)=1:ncol(pfm3)
color_profile = list("type" = "per_row",
"col" = RColorBrewer::brewer.pal(4,name ="Spectral"))
grid.newpage()
layout.rows <- 3
layout.cols <- 2
top.vp <- viewport(layout=grid.layout(layout.rows,layout.cols, widths=unit(rep(2,layout.cols), rep("null",layout.cols)),heights=unit(rep(2,1), rep("null",1))))
plot_reg <- vpList()
l <- 1
for(i in 1:layout.rows){
for(j in 1:layout.cols){
plot_reg[[l]] <- viewport(layout.pos.col = j, layout.pos.row = i, name = paste0("plotlogo", l))
l <- l+1
}
}
plot_tree <- vpTree(top.vp, plot_reg)
pushViewport(plot_tree)
seekViewport(paste0("plotlogo", 1))
logomaker(pfm1,
color_profile = color_profile,
frame_width = 1,
newpage = F,
yscale_change = F,
pop_name = 'low freq')
seekViewport(paste0('plotlogo',2))
pfm1dash=t(dash(t(pfm1),optmethod = 'mixEM')$posmean)
rownames(pfm1dash)=c('A','C','G','T')
colnames(pfm1dash)=1:ncol(pfm1)
logomaker(pfm1dash,
color_profile = color_profile,
frame_width = 1,
newpage=F,
yscale_change = F,
pop_name = 'low freq, dash')
seekViewport(paste0("plotlogo", 3))
logomaker(pfm2,
color_profile = color_profile,
frame_width = 1,
newpage = F,
yscale_change = F,
pop_name = 'medium freq')
seekViewport(paste0('plotlogo',4))
pfm2dash=t(dash(t(pfm2),optmethod = 'mixEM')$posmean)
rownames(pfm2dash)=c('A','C','G','T')
colnames(pfm2dash)=1:ncol(pfm2)
logomaker(pfm2dash,
color_profile = color_profile,
frame_width = 1,
newpage=F,
yscale_change = F,
pop_name = 'medium freq, dash')
seekViewport(paste0("plotlogo", 5))
logomaker(pfm3,
color_profile = color_profile,
frame_width = 1,
newpage = F,
yscale_change = F,
pop_name = 'high freq')
seekViewport(paste0('plotlogo',6))
pfm3dash=t(dash(t(pfm3),optmethod = 'mixEM')$posmean)
rownames(pfm3dash)=c('A','C','G','T')
colnames(pfm3dash)=1:ncol(pfm3)
logomaker(pfm3dash,
color_profile = color_profile,
frame_width = 1,
newpage=F,
yscale_change = F,
pop_name = 'high freq, dash')
Negative logo plots:
grid.newpage()
layout.rows <- 3
layout.cols <- 2
top.vp <- viewport(layout=grid.layout(layout.rows,layout.cols, widths=unit(rep(2,layout.cols), rep("null",layout.cols)),heights=unit(rep(2,1), rep("null",1))))
plot_reg <- vpList()
l <- 1
for(i in 1:layout.rows){
for(j in 1:layout.cols){
plot_reg[[l]] <- viewport(layout.pos.col = j, layout.pos.row = i, name = paste0("plotlogo", l))
l <- l+1
}
}
plot_tree <- vpTree(top.vp, plot_reg)
pushViewport(plot_tree)
seekViewport(paste0("plotlogo", 1))
nlogomaker(pfm1,
logoheight = 'log_odds',
color_profile = color_profile,
frame_width = 1,
newpage = F,
ylimit = 2.8,
pop_name = 'low freq')
seekViewport(paste0('plotlogo',2))
pfm1dash=t(dash(t(pfm1),optmethod = 'mixEM')$posmean)
rownames(pfm1dash)=c('A','C','G','T')
colnames(pfm1dash)=1:ncol(pfm1)
nlogomaker(pfm1dash,
logoheight = 'log_odds',
color_profile = color_profile,
frame_width = 1,
newpage=F,
ylimit = 2.5,
pop_name = 'low freq, dash')
seekViewport(paste0("plotlogo", 3))
nlogomaker(pfm2,
logoheight = 'log_odds',
color_profile = color_profile,
frame_width = 1,
newpage = F,
ylimit = 2.5,
pop_name = 'medium freq')
seekViewport(paste0('plotlogo',4))
pfm2dash=t(dash(t(pfm2),optmethod = 'mixEM')$posmean)
rownames(pfm2dash)=c('A','C','G','T')
colnames(pfm2dash)=1:ncol(pfm2)
nlogomaker(pfm2dash,
color_profile = color_profile,
logoheight = 'log_odds',
frame_width = 1,
newpage=F,
ylimit = 2.5,
pop_name = 'medium freq, dash')
seekViewport(paste0("plotlogo", 5))
nlogomaker(pfm3,
logoheight = 'log_odds',
color_profile = color_profile,
frame_width = 1,
newpage = F,
ylimit = 2.5,
pop_name = 'high freq')
seekViewport(paste0('plotlogo',6))
pfm3dash=t(dash(t(pfm3),optmethod = 'mixEM')$posmean)
rownames(pfm3dash)=c('A','C','G','T')
colnames(pfm3dash)=1:ncol(pfm3)
nlogomaker(pfm3dash,
logoheight = 'log_odds',
color_profile = color_profile,
frame_width = 1,
newpage=F,
ylimit = 2.5,
pop_name = 'high freq, dash')
The default background probability is uniform for each compositional class. User could also specify the background probability in the functions including dash
,logomaker
,nlogomaker
.
Here, we present the comparisons of logo plots and negative logo plots from 4 different PWMs of one PFM generated in the following way:
| 1 | 2 |
|---|---|
| same bg, no dash | same bg, dash |
| varying bg, no dash | varying bg, dash |
Logo plots:
bg=c(0.3141, 0.1859, 0.1859, 0.3141)
grid.newpage()
layout.rows <- 2
layout.cols <- 2
top.vp <- viewport(layout=grid.layout(layout.rows,layout.cols, widths=unit(rep(2,layout.cols), rep("null",layout.cols)),heights=unit(rep(2,1), rep("null",1))))
plot_reg <- vpList()
l <- 1
for(i in 1:layout.rows){
for(j in 1:layout.cols){
plot_reg[[l]] <- viewport(layout.pos.col = j, layout.pos.row = i, name = paste0("plotlogo", l))
l <- l+1
}
}
plot_tree <- vpTree(top.vp, plot_reg)
pushViewport(plot_tree)
seekViewport(paste0("plotlogo", 1))
logomaker(pfm2,
color_profile = color_profile,
frame_width = 1,
newpage = F,
yscale_change = F,
pop_name = 'same bg, no dash')
seekViewport(paste0("plotlogo", 2))
logomaker(pfm2dash,
color_profile = color_profile,
frame_width = 1,
newpage = F,
yscale_change = F,
pop_name = 'same bg, dash')
seekViewport(paste0("plotlogo", 3))
logomaker(pfm2,
bg=bg,
color_profile = color_profile,
frame_width = 1,
newpage = F,
yscale_change = F,
pop_name = 'varying bg, no dash')
pfm2dashbg=t(dash(t(pfm2),optmethod = 'mixEM',mode = bg)$posmean)
rownames(pfm2dashbg)=c('A','C','G','T')
colnames(pfm2dashbg)=1:ncol(pfm2)
seekViewport(paste0("plotlogo", 4))
logomaker(pfm2dashbg,
bg=bg,
color_profile = color_profile,
frame_width = 1,
newpage = F,
yscale_change = F,
pop_name = 'varying bg, dash')
Negative logo plots:
grid.newpage()
layout.rows <- 2
layout.cols <- 2
top.vp <- viewport(layout=grid.layout(layout.rows,layout.cols, widths=unit(rep(2,layout.cols), rep("null",layout.cols)),heights=unit(rep(2,1), rep("null",1))))
plot_reg <- vpList()
l <- 1
for(i in 1:layout.rows){
for(j in 1:layout.cols){
plot_reg[[l]] <- viewport(layout.pos.col = j, layout.pos.row = i, name = paste0("plotlogo", l))
l <- l+1
}
}
plot_tree <- vpTree(top.vp, plot_reg)
pushViewport(plot_tree)
seekViewport(paste0("plotlogo", 1))
nlogomaker(pfm2,
logoheight = 'log_odds',
color_profile = color_profile,
frame_width = 1,
newpage = F,
ylimit = 2.5,
pop_name = 'same bg, no dash')
seekViewport(paste0("plotlogo", 2))
nlogomaker(pfm2dash,
logoheight = 'log_odds',
color_profile = color_profile,
frame_width = 1,
newpage = F,
ylimit = 2.5,
pop_name = 'same bg, dash')
seekViewport(paste0("plotlogo", 3))
nlogomaker(pfm2,
logoheight = 'log_odds',
bg=bg,
color_profile = color_profile,
frame_width = 1,
newpage = F,
ylimit = 2.8,
pop_name = 'varying bg, no dash')
pfm2dashbg=t(dash(t(pfm2),optmethod = 'mixEM',mode = bg)$posmean)
rownames(pfm2dashbg)=c('A','C','G','T')
colnames(pfm2dashbg)=1:ncol(pfm2)
seekViewport(paste0("plotlogo", 4))
nlogomaker(pfm2dashbg,
logoheight = 'log_odds',
bg=bg,
color_profile = color_profile,
frame_width = 1,
newpage = F,
ylimit = 2.5,
pop_name = 'varying bg, dash')
sessionInfo()
R version 3.4.0 (2017-04-21)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 15063)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] dash_0.99.0 SQUAREM_2016.8-2 Logolas_1.1.2
loaded via a namespace (and not attached):
[1] Rcpp_0.12.12 digest_0.6.12 rprojroot_1.2
[4] backports_1.0.5 git2r_0.18.0 magrittr_1.5
[7] evaluate_0.10 stringi_1.1.5 LaplacesDemon_16.0.1
[10] rmarkdown_1.6 RColorBrewer_1.1-2 tools_3.4.0
[13] stringr_1.2.0 parallel_3.4.0 yaml_2.1.14
[16] compiler_3.4.0 htmltools_0.3.5 knitr_1.15.1
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Question Writing Guidelines for Timed Games
Written by Doug Bone, David Frazee, and Chris Golde, all associated at
the time with Stanford; edited by Pat Matthews, who merely modified the work of the above so
that these guidelines will fit the requirements of just about any tournament.
HTMLized by David Hamilton, January 12, 1998
Introduction
At invitational tournaments, participants traditionally complain about poor
question quality and the need for question improvement and consistency.
Complaints cite misleading, wordy, obscure, grammatically faulty, and
factually incorrect questions. Poor question quality is a persistent
problem at invitational tournaments partly because of the lack of
guidance for question writers. This guide includes instructions for
question formats and packet composition. In addition, some sample questions
are attached. Whether you are a novice or experienced question writer, we
hope this guide provides useful information and reasonable question
expectations.
Though editors will attempt to remove all duplicate and problem questions,
they cannot verify the accuracy of every questions submitted, nor rewrite
entire packets. Question writers are responsible for the accuracy and
quality of their questions, and team captains should verify that all
questions are carefully edited and conform to packet guidelines.
Mechanics
Question Quality and Accuracy
We recommend that teams read their questions aloud in a simulated
regulation (i.e. timed) match and that all information be verified in reputable
reference sources. For example, books by Fred L. Worth
(e.g. SuperTrivia) and
Wallechinsky/Wallace (e.g. The Book of Lists,
The People's Almanac) are
notoriously error-filled and should not be used without verification.
Writers should not use copyrighted questions or questions previously used
in any competition. Questions do not need to be footnoted, though you may
do so.
Question Security
If your school is sending more than one team, it is critical that each
team write its packet blind of the other teams, as they may hear each
other's packets during the competition. Separate disks for each team may
be mailed should no neutral person be available to place all the
teams' questions on one disk.
Packet Specifications
Guidelines
Each packet should have at least 32 toss-up and 30 bonus questions.
Toss-ups are all worth 10 points apiece and bonuses are worth 20-30 points
each. Written for timed play, the packet should provide enough material for
14 minutes of play. If a quick moderator can read only 20 or so toss-ups
with bonuses in 14 minutes, the questions are too long.
Packets should be reasonably uniform in difficulty.
Every packet should be balanced across the various topic areas. These
goals are approximations, but try to keep the distribution balanced since
there will be many different users of the packet.
Question Distribution
The target number of questions are as follows:
| Topic | Toss-Ups | Boni |
| Science | 4 | 4 |
| Literature | 4 | 4 |
| History | 4 | 4 |
| Current Events | 5 | 5 |
| General Knowledge | 3 | 3 |
| Geography | 2 | 2 |
| Popular Culture | 2 | 2 |
| Sports | 2 | 1-2 |
| Fine Arts | 2 | 2 |
| Religion | 2 | 1-2 |
| Social Science | 2 | 1-2 |
| Total | 32 | 30 |
[Ed.: These numbers in the above chart can vary slightly, but be very
careful to maintain a balance in categories!]
Topic Areas
Science
Introductory college courses, perusal of periodicals such as Science News,
Scientific American, Discover, or the Science section of The New York
Times should provide adequate background for science toss-ups and most
boni. Science includes, but is not limited to, biology, chemistry, astronomy,
physics, mathematics, and earth science. Questions may come from the
history of science, but should also reflect important recent developments
or fundamental principles of relevance to contemporary science and
society.
Literature
Literature questions can span the gamut within the history of literature,
and span the continents, though American and British literature is usually
emphasized. Questions can cover authors, works, and content. Bonus
questions should more often cover the contents of works rather than the
mere identification of authors and works since the former requires more
detailed knowledge. Norton Anthologies and Benet's Reader's Encyclopedia
should provide an adequate background for most questions.
History
American and European history tend to be more strongly represented than
the history of the other continents. Half the questions should cover
pre-1945 events and half the post-1945 era.
Current Events
To some it seems that this category is the most represented category.
However, it is important to separate a question which is in its essence a
science or history question, and has a current events lead-in to make it
interesting and topical, from a question which is truly about the recent
news. For example, a question about Alger Hiss is essentially a history
question, even if the announcement by a Russian general that Hiss was not a
Soviet spy is a current event.
General Knowledge
This category sweeps up the questions which are not subsumed in any other.
Word origins, spelling, calculation, and other miscellaneous information
fall under this category.
Geography
Emphasizes North American, European, and African geography.
Popular Culture
This includes television, film, popular music and other cultural icons.
Sports
Sports includes the sports of and athletes in football, basketball,
baseball, soccer, and tennis, the Olympics, as well as a variety of
lesser-known sports.
Fine Arts
Includes classical music, dance, theater, visual arts, and architecture.
Religion/Mythology/Classics
This includes the Bible, world religions, Greek, Roman, and Norse
Mythology, and the classics of ancient literature.
Social Sciences
This includes primarily psychology, law, sociology, and economics.
Question Writing
General (Toss-Ups AND Boni)
Length
The question itself should be no more than 2 or 3 sentences, maximum. All
difficult words should have a pronunciation guide following them, with the
stressed syllables in capital letters. For example, Mogadishu would be
listed as Mogadishu (mo-go-DEE-shoo).
Say How Much Every Question Is Worth
Just before the final key request, the phrase "for xx points" should appear.
This is especially important in toss-up questions to help identify the
targeted answer.
Format for the Answer
The answer appears below the question, following the word ANSWER:
Answers are customarily written with the minimum information needed to
answer the question underlined:
- A person's name would only have the last name underlined unless it
were ambiguous.
- Alternate answers should also be indicated.
- Always include enough information to judge the acceptability of
alternate or overly-complete answers.
- If the answer is a foreign phrase, a contestant might give the
response in the foreign language. This can cause considerable
problems when moderating if this alternate foreign-language answer is not
specified. We recommend that foreign language answers be included
when appropriate to avoid problems.
Examples:
ANSWER: _B_ANK OF _C_REDIT AND _C_OMMERCE _I_NTERNATIONAL
ANSWER: _F_RANKLIN DELANO _ROOSEVELT_ OR _FDR_
ANSWER: GREAT _BRITAIN_ OR _U_NITED _K_INGDOM
ANSWER: _EUROPEAN CENTER FOR NUCLEAR RESEARCH_ OR _CERN_
ANSWER: GEORGE HERBERT WALKER _BUSH_
ANSWER: _WINGS OF DESIRE_ OR _HIMMEL UBER BERLNI_
ANSWER: _THE REBEL_ OR _L'HOMME REVOLT_
ANSWER _L'ETRANGE_R OR _THE OUTSIDER_ OR _THE STRANGER_
Toss-Up Questions
Spelling Tossups
If you choose to write spelling tossups, phrase the question as directly as
possible to avoid tricking contestants into mis-answering the question.
Always include a pronunciation guide for the word to be spelled and
separate letters in the answer by dashes to assist moderators in judging
responses. For example:
If pre-game nerves have made you unable to spell correctly, then
you're exhibiting "inappetence" (IN-AP-PE-TENTS). For ten points,
spell "inappetence."
ANSWER: I-N-A-P-P-E-T-E-N-C-E
Difficulty
90% of toss-up questions should be answerable by one of the eight players
if read in their entirety. This is not the same as having 90% of the
toss-ups answered correctly in a match situation.
Two aggressive teams should interrupt at least 80% of toss-ups.
Length
Be terse. No toss-up question should be longer than two sentences (three
if they are short).
How to Order the Clues
Order clues from most obscure to least obscure. Two bad examples with the
answer of Otto von Bismarck follow:
Known as the "Iron Chancellor," he received a famous telegram on
September 17, 1862 from War Minister Von Roon recalling him to Berlin
to take control the government. For ten points, name this statesman,
who ruled Prussia from 1862 to 1890.
In a real match, this question will likely be over in 5 words. It could
be rewritten as:
He received a famous telegram on September 17, 1862 from War Minister
Von Roon recalling him to Berlin to take control of the government.
For ten points, name this politician who ruled Prussia from 1862
to 1890, earning the nickname the "Iron Chancellor."
Another example of a poorly written question:
The capital of North Dakota and the 19th century Duke of Lauenberg
who epitomized the Junker class share, FTP, what name?
This could be rewritten as:
The 19th century Duke of Lauenberg who epitomized the Junker class
and the capital of North Dakota share, FTP, what name?
No Misleading Questions
Avoid misleading questions which penalize knowledge and speed. These
questions are supremely evil in competition and are to be avoided. Since
each tossup potentially means a swing in the game score of 85 points, it
is crucial that toss-ups be written clearly and fairly. Neither of the
following is an acceptable question:
A German Chancellor, A U.S. state capital, an archipelago northeast
of New Guinea, the sea enclosed by the archipelago, and the largest
city in Equitorial Guinea. FTP, which is not named "Bismarck?"
He served as German Chancellor from 1871 to 1890 and was known for
his policy of "blood and iron." FTP, spell his last name.
Watch Pronouns and Antecedents
Pronouns almost always must refer to the answer. Use pronouns carefully so
as not to mislead the players. Poor antecedent usage is most often the
culprit in poorly-written questions. This example is poorly constructed:
Vowing that he would never go to Canossa, the Chancellor of Germany
announced a cultural struggle against Roman Catholicism in the 1870's.
For ten points, what three-syllable German noun named this anti-Catholic
campaign?
ANSWER: _KULTURKAMPF_
This question tricks a player into answering Bismarck early. It could be
rewritten as:
German Chancellor Bismarck, vowing never to go to Canossa, announced
a cultural struggle against Roman Catholicism in the 1870's known,
for ten points, by what three-syllable German noun?
Minimize Ambiguous Introductions
Some questions have several possible answers after a few words have been
read.
Facing legal difficulties because of alleged financial chicanery,
he resigned as Vice-President of the United States...
Agnew is not the only answer. Calhoun had similar, if less widely known,
difficulties in his time. Some players will interrupt the question at
this point. Players who are waiting to differentiate between Agnew and
Calhoun will be at a disadvantage to other players who are thinking of
only Agnew. Or, a player who is aware of Calhoun may bet the odds and
incorrectly answer Agnew. Either way, this question might trap a better
player, penalizing knowledge.
One might choose to add additional information at the start of the
question to minimize this ambiguity and precisely target the desired
answer as soon as possible, as in:
This former governor, facing legal difficulties because of
alleged financial chicanery...
There is nothing wrong with questions in which the answer is not the
immediately obvious one. Further, there is nothing wrong with more
general introductions (This U.S. President...). However, you should
strive to minimize question ambiguity as much as possible, especially when
the introduction narrows the possible answers to just a few probable
answers (This Polish pianist...).
Bonus Questions
Difficulty
A good team should get 50%-70% of possible bonus points.
Point Values
The total points available must be either 20, 25, or 30 points. A bonus
may be subdivided into partial credit in multiples of 5 or 10 points.
[Ed.: some invitationals will allow for bonus questions worth more than 30
points, but this is unusual and at the discretion of the host.]
Question Themes
Eschew cuteness. Pick a theme, either within one category, or a variety
of them. Introduce the theme and ask the question(s). Remember that the
question will be read in its entirety so it is not necessary to put more
obscure facts preceding more obvious facts (unless it is a multiple-part
question).
Don't Reward Random Guessing
Avoid Binary questions (Yes/No, Higher/Lower, Before/After) since no one
should be able to get 50% of the points with no knowledge whatsoever.
Similarly, questions that involve ordering a list or matching two lists
tend to reward guessing and luck rather than actual knowledge. If you use
this format, please use it sparingly.
In general, if a question doesn't call for recall of specific information,
or if a team could get the answer with no knowledge of the area
whatsoever, then the question doesn't belong in a match situation.
Bonus Formats
One Part, One Answer
These are difficult questions scored all-or-nothing. Each is worth twenty,
twenty-five, or thirty points depending upon its difficulty.
Example:
25 POINT BONUS
One of the last giants of Abstract Expressionism, this painter of
_Elegies to the Spanish Republic_ died July 17, 1991 on Cape Cod. For
25 points, name him.
ANSWER: ROBERT _MOTHERWELL_
Multiple Parts Related by a Common Theme
The parts of the question should be of varying difficulty to insure a
partial score but make a perfect score difficult to realize. There should
be no more than three parts as each part can take 10-15 seconds of game
time to read and answer. If the questions are exceedingly short and easy,
one might use four five-point parts.
Example:
30 POINT BONUS
Name, for ten points each, the following members of the Emergency Committee
on State Security, given their pre-coup positions:
1. Interior Minister
ANSWER: BORIS K. _PUGO_
2. KGB Chief
ANSWER: VLADIMIR A. _KRYUCHKOV_ (KROOSH-KOV)
3. Vice-President
ANSWER: GENNADI _YANAYEV_
One Question, Multiple Answers
You ask for a list of things, and give points for each correct answer. Be
sure to specify clearly the number of items for which you are looking,
especially if the question will accept any three of the four. Asking
teams to generate long lists with many possible answers ("Name any six
OPEC nations", or "Name 8 Common Market Nations for 15 points, 9 for 20
points...," for example) tends to be difficult to moderate and should be
avoided. A precise and manageable list should be used.
Example:
25 POINT BONUS
Only 5 major league pitchers have ever thrown more than 45 consecutive
scoreless innings. For 5 points apiece, name them.
ANSWERS: CARL _HUBBEL_, _BOB GIBSON_, _WALTER JOHNSON_, DON _DRYSDALE_,
OREL _HERSHISER_
In some cases, an incorrect answer ends the bonus. In this case, which
should not be overused, include the phrase "but be careful, a miss will
stop you" in the question.
Progressive (30-20-10) Questions
These questions are asked in three parts. Each part is an additional clue
to the same answer. The general category is always given in the original
question.
Example:
30 POINT BONUS
Identify this person after the first clue to earn 30 points, after two
clues for twenty points, or after all three clues for ten points:
30. He was elected to Congress in 1978 to fill the seat vacated by
Barbara Jordan.
20. He founded and chaired the House Select Committee on World Hunger, and
twice served as Chair of the Congressional Black Caucus.
10. He died in an airplane crash en route to a refugee camp in Ethiopia
in 1989.
ANSWER: MICKEY _LELAND_
Last updated January 12, 1998.


This experimental tool allows you to perform systematic series of Tesserae runs across a range of parameters. Select single or multiple options using the controls below; Tesserae will be run once for each possible combination of the options selected.
Depending on the number of searches necessary, results may take some time to generate.


Hall Literature
Go to
Map 18
Manly
Map 19
Manly Vale
Count
Request
Receive
Location
Cupboard 1
Cupboard 2
Cupboard 3
Keep in God's Love
10
Count
Order
On hand
Card title
Card subtitle
Some quick example text to build on the card title and make up the bulk of the card's content.
Card link
Another link
Teach us
Good Neews
Keep in God's Love
Password
index
index.html?location=1
detail.html?id=1
request.html
receive.html
Delay excuton until finished typing
a>


@examples The following code example lists all of the directories and files that begin with the letter "s" in "c:\". In this example, the SearchOption is used to specify not to search all subdirectories.
Public Sub Main() Const Path As String = "c:\" Const SearchPattern As String = "s*" Dim di As DirectoryInfo Dim Directories() As DirectoryInfo Dim Files() As FileInfo Set di = NewDirectoryInfo(Path) Directories = di.GetDirectories(SearchPattern, SearchOption.TopDirectoryOnly) Files = di.GetFiles(SearchPattern, SearchOption.TopDirectoryOnly) Debug.Print "Directories that begin with the letter ""s"" in " & Path DisplayFileSystemInfo Directories Debug.Print t("\nFiles that begin with the letter ""s"" in ") & Path DisplayFileSystemInfo Files End Sub Private Sub DisplayFileSystemInfo(ByRef Source As Variant) Dim Item As Variant Dim Info As FileSystemInfo For Each Item In Source Set Info = Item Debug.Print CorString.Format("{0,-25} {1,25}", Info.FullName, Info.LastWriteTime) Next End Sub


Foreign request tracker
By
LoranKloeze
This panel shows requests made by this website to foreign domains
Clear table
Foreign origin
Nr of requests made
Last request
No foreign requests made yet


| < Day Day Up > |
Hack 2 Useful tcsh Shell Configuration File Options
Make the shell a friendly place to work in. Now that you've had a chance to make friends with the shell, let's use its configuration file to create an environment you'll enjoy working in. Your prompt is an excellent place to start. 1.3.1 Making Your Prompt More UsefulThe default tcsh prompt displays % when you're logged in as a regular user and hostname# when you're logged in as the superuser. That's a fairly useful way to figure out who you're logged in as, but we can do much better than that. Each user on the system, including the superuser, has a .cshrc file in his home directory. Here are my current prompt settings: dru@~:grep prompt ~/.cshrc if ($?prompt) then set prompt = "%B%n@%~%b: " That isn't the default tcsh prompt, as I've been using my favorite customized prompt for the past few years. The possible prompt formatting sequences are easy to understand if you have a list of possibilities in front of you. That list is buried deeply within man cshrc, so here's a quick way to zero in on it: dru@~:man cshrc /prompt may include Here I've used the / to invoke the manpage search utility. The search string prompt may include brings you to the right section, and is intuitive enough that even my rusty old brain can remember it. If you compare the formatting sequences shown in the manpage to my prompt string, it reads as follows: set prompt = "%B%n@%~%b: " That's a little dense. Table 1-1 dissects the options.
With this prompt, I always know who I am and where I am. If I also needed to know what machine I was logged into (useful for remote administration), I could also include %M or %m somewhere within the prompt string. I highly recommend you take some time to experiment with the various formatting sequences and hack a prompt that best meets your needs. You can add other features, including customized time and date strings and command history numbers [Hack #1], as well as flashing or underlining the prompt. 1.3.2 Setting Shell VariablesYour prompt is an example of a shell variable. There are dozens of other shell variables you can set in .cshrc. My trick for finding the shell variables section in the manpage is: dru@~:man cshrc /variables described As the name implies, shell variables affect only the commands that are built into the shell itself. Don't confuse these with environment variables, which affect your entire working environment and every command you invoke. If you take a look at your ~/.cshrc file, environment variables are the ones written in uppercase and are preceded with the setenv command. Shell variables are written in lowercase and are preceded with the set command. You can also enable a shell variable by using the set command at your command prompt. (Use unset to disable it.) Since the variable affects only your current login session and its children, you can experiment with setting and unsetting variables to your heart's content. If you get into trouble, log out of that session and log in again. If you find a variable you want to keep permanently, add it to your ~/.cshrc file in the section that contains the default set commands. Let's take a look at some of the most useful ones. If you enjoyed Ctrl-d from [Hack #1], you'll like this even better: set autolist Now whenever you use the Tab key and the shell isn't sure what you want, it won't beep at you. Instead, the shell will show you the applicable possibilities. You don't even have to press Ctrl-d first! The next variable might save you from possible future peril: set rmstar I'll test this variable by quickly making a test directory and some files: dru@~:mkdir test dru@~:cd test dru@~/test:touch a b c d e Then, I'll try to remove the files from that test directory: dru@~/test:rm * Do you really want to delete all files? [n/y] Since my prompt tells me what directory I'm in, this trick gives me one last chance to double-check that I really am deleting the files I want to delete. If you're prone to typos, consider this one: set correct=all This is how the shell will respond to typos at the command line: dru@~:cd /urs/ports CORRECT>cd /usr/ports (y|n|e|a)? Pressing y will correct the spelling and execute the command. Pressing n will execute the misspelled command, resulting in an error message. If I press e, I can edit my command (although, in this case, it would be much quicker for the shell to go with its correct spelling). And if I completely panic at the thought of all of these choices, I can always press a to abort and just get my prompt back. If you like to save keystrokes, try: set implicitcd You'll never have to type cd again. Instead, simply type the name of the directory and the shell will assume you want to go there. |
| < Day Day Up > |


Billionaire and former New York Mayor Michael Bloomberg running for US President
We'll be bringing you the very latest updates, pictures and video on this breaking news story
by Lorraine KingFormer New York City Mayor Michael Bloomberg has entered the race to become the next US president.
Mr Bloomberg is officially entering as a candidate for the Democratic party.
We'll be bringing you the very latest updates, pictures and video on this breaking news story.
Please check back regularly for updates on this developing story here at Mirror.co.uk .
For the latest news and breaking news visit Mirror.co.uk/news .
Get all the big headlines, pictures, analysis, opinion and video on the stories that matter to you.
Follow us on Twitter @DailyMirror - the official Daily Mirror & Mirror Online Twitter account - real news in real time.
We're also on Facebook /dailymirror - your must-see news, features, videos and pictures throughout the day from the Daily Mirror, Sunday Mirror and Mirror Online.


{% extends 'base.html' %} {% set active_page = "index" %} {% block content %}
Hi! I'm Carolina Cardozo and I'm a student majoring in Biotechnology at Tecnologico de Monterrey University, in Monterrey, Mexico. I'm also a self-taught programmer and am passionate about coding and computer systems. My main programming languages are C++, Python and Matlab. I have built several fun and interesting personal projects and I invite you to take a look!


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This site has been deprecated and is live only for reference and versioning purposes! Please visit the newest version at nicdurish.ca
clicking on ".navTrigg" toggles class "open" on ".navTrigg"
A collection of my ramblings and reflections on a variety of random topics, thoughts and experiences.
January 30, 2021•0 min read
-
This is not a post, please proceed to blog.nicdurish.ca… no seriously there is nothing left here. What are you still doing on this page?! Aaaaaah, just looking around? Well that’s totally alright too! Feel free to use this code as a starting po...


--- layout: post status: publish published: true title: Surviving the IFB Revolution (Without Becoming A Revolutionary) author: Ryan Hayden wordpress_id: 998 wordpress_url: http://ryan-hayden.com/?p=998 date: '2013-03-19 16:00:56 -0500' date_gmt: '2013-03-19 21:00:56 -0500' categories: - Fundamentalism - ministry tags: [] ---
We are in the middle of an independent Baptist revolution. The cause of the American Revolution was the distance from Europe coupled with the obnoxious tax practices of the English government. The cause of the French Revolution was the starving French people coupled with the opulence of the French monarchy. The cause of our current revolution is the coupling of the internet and a movement that has too long evaded all intellectual challenge.
Let me explain what i mean: There was a day when Independent Baptists churches and institutions could be walled gardens, blocking out ideas and opinions that they didn’t agree with, and setting the rules for how we think about those not inside our little cloister. Those days are long over. Not only are endless opinions and articles a second away on the internet, but we can listen to sermons, read books and communicate with people we would have never had contact with twenty years ago. There are large groups of disenchanted former IFBs willing to point out our every misstep, both past and present, every time we open our laptop screen. The walls are coming down.
Revolutions may produce good results, but they are never pretty. Innocent people fall to the guillotines of zealous revolutionaries. Blood runs in the streets. People go crazy. People get greedy. Periods of unrest always follow as people put things back together.
I don’t want to be a revolutionary. I’ve never envisioned myself as the guy running through the streets, pumping my fists and shouting “power to the people.” Revolutions are never balanced. I want to be balanced. Revolutions are never cautious. Wisdom always is.
Blogs tend to be echo chambers, they are the places we young people go to bounce off the ideas created by the sudden influx of information coming our way. Unfortunately, I see my blog taking on a revolutionary flavor at times.
Balanced. Grateful. Wise. Patient.
Revolutionary. Rough. Zealous. Hasty.
These things don’t go together.
For the next week or so, I’m going to be posting things that I think will help us, the young generation of Indpendent Baptist leaders living through this revolution, stay balanced, grateful, wise and patient. Ways to live through the revolution without being a revolutionary. A survival kit for the IFB revolution.
Tomorrow, I’ll be talking about the importance of having older counselors.


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Eiffel
The Eiffel protocol enables technology agnostic communication for CI/CD eco systems.
Eiffel is based on the concept of decentralized real time messaging providing traceability
and KPIs throughout your pipelines, across platforms.
Read more about our Mission and Vision
Modern software production systems are more than just a build server. It is a shifting mix of functions and technologies, from issue trackers and test frameworks to environment managers and repositories. At the same time, software supply chains become increasingly complex, crossing organizational and geographical borders many times before resulting in the final software product. It is a world of interconnected and interdependent software pipelines.
The Eiffel community applies the same architectural principles to this network of pipelines as to any other software design problem. The main part is the Eiffel protocol, enabling technology agnostic event-based communication among the actors of the system. The community also provides services and plugins for sending, storing, analyzing and acting upon those event communications.
The Eiffel protocol and it's implementations lets you know at a glance what is up in your software production system and your supply chain, while providing rich extension points where others can hook into your pipeline with perfect upstream and downstream traceability.
To get into the concepts of the Eiffel protocol, subscribe to our Youtube channel and watch the screen casts on what the Eiffel protocol is, and how it achieves its mission. If you're looking for examples of how to use it, try the Usage Examples provided in the protocol repository.
Keep in mind that Eiffel is designed to let you cherry-pick the parts that add value for you, while ignoring the rest. This goes for the protocol as well as for its implementations. Browse the protocol vocabulary and the Sepia implementation architecture to find what supports your critical use case, and then expand from there.
If you want to try it out yourself in a sandbox environment, set up some Eiffel services quickly with easy2use in Docker or a Kubernetes cluster.
The Eiffel protocol saw the light of day in 2012 as a protocol for large-scale software integration within Ericsson. In 2016 Ericsson made the initial contribution of the protocol to open source, and has since then been collaborating with the community to create open source implementations of it. Coming from the world of large telecommunications systems it was designed for scalability and high demands on traceability. At the same time, the design of the protocol and its implementations ensures that you can cherry-pick the parts that are relevant to you. This affords an easy-to-adopt yet highly flexible and scalable solution that will grow along with your needs.


$ whoami
#Hello, World! I am gary.
I am a software developer currently headquartered in the great state of Colorado. I am a technology enthusiast and I enjoy solving problems. I have been coding since I was 10 years old and I can only hope to keep learning for the rest of my life. I do like getting out and away from the screens to enjoy all aspects of life.
#Industry Experience
Telecommunications
Healthcare
Gaming
#Tech
Java, C#, Python, Javascript, jQuery, Angular.js, Node.js, Knockout.js, JBoss, IIS, Git, SVN, MySql, SQLServer, PostgreSql..
ET AL...


US Catholic Church boards reviewing sex abuse fail victims
by The Associated PressThe U.S. Catholic Church pushed what it called a key reform to address its exploding clergy sex abuse scandal almost two decades ago: Mandatory review boards with lay people in each diocese to review the claims of victims fairly and kindly.
But It often hasn't worked that way, an Associated Press investigation has found. Instead, boards appointed by bishops and operating in secrecy have routinely served as a way to undermine the claims of sexual abuse from victims, avoid payouts and shield pedophile priests -- ultimately raising the question of whether the church is able to reform itself on its own.
The AP investigation found:
- Across the country, bishops have masked these boards in secrecy, often hiding who serves on them and how they handle cases.
- Bishops appoint the very people supposed to defend abuse victims, and have sometimes put church defense attorneys and top aides on boards.
- A few clergy who later accused of sexual misconduct were themselves board members.
- Bishops choose the cases and evidence going before boards, and in some cases even board members were not told about abuse or lied to.
- Even when a review board affirms a victim's case, some bishops have overruled them.
- In dozens of cases, secular courts or government investigators later decided abuse was credible after boards had said it was not.
___
The full story can be found at apnews.com.