IBM QRadar Ansible Collection
Tech Preview
This is the Ansible Collection provided by the Ansible Security Automation Team for automating actions in IBM QRadar SIEM.
This Collection is meant for distribution via Ansible Galaxy as is available for all Ansible users to utilize, contribute to, and provide feedback about.
Using IBM QRadar Ansible Collection
An example for using this collection to manage a log source with IBM QRadar is as follows.
inventory.ini
(Note the password should be managed by a Vault for a production environment.
[qradar]
qradar.example.com
[qradar:vars]
ansible_network_os=ibm.qradar.qradar
ansible_user=admin
ansible_httpapi_pass=SuperSekretPassword
ansible_httpapi_use_ssl=yes
ansible_httpapi_validate_certs=yes
ansible_connection=httpapi
Using the modules with Fully Qualified Collection Name (FQCN)
With Ansible Collections there are various ways to utilize them either by calling specific Content from the Collection, such as a module, by it's Fully Qualified Collection Name (FQCN) as we'll show in this example or by defining a Collection Search Path as the examples below will display.
qradar_with_collections_example.yml
---
- name: Testing URI manipulation of QRadar with FQCN
hosts: qradar
gather_facts: false
tasks:
- name: create log source
ibm.qradar.qradar_log_source_management:
name: "Ansible Collections Example Log Source"
type_name: "Linux OS"
state: present
description: "Ansible Collections Example Log Source Description"
Define your collection search path at the Play level
Below we specify our collection at the
Play
level which allows us to use the qradar_log_source_management
module without
the need for the FQCN for each task.
qradar_with_collections_example.yml
---
- name: Testing URI manipulation of QRadar
hosts: qradar
gather_facts: false
collections:
- ibm.qradar
tasks:
- name: create log source
qradar_log_source_management:
name: "Ansible Collections Example Log Source"
type_name: "Linux OS"
state: present
description: "Ansible Collections Example Log Source Description"
Define your collection search path at the Block level
Another option for Collection use is below. Here we use the
block
level keyword instead of Play
level as with the previous example. In this scenario we are able to use the
qradar_log_source_management
module without the need for the FQCN for each
task but with an optionally more specific scope of Collection Search Path than
specifying at the Play level.
qradar_with_collections_block_example.yml
---
- name: Testing URI manipulation of QRadar
hosts: qradar
gather_facts: false
tasks:
- name: collection namespace block
block:
- name: create log source
qradar_log_source_management:
name: "Ansible Collections Example Log Source"
type_name: "Linux OS"
state: present
description: "Ansible Collections Example Log Source Description"
collections:
- ibm.qradar
Directory Structure
docs/
: local documentation for the collectionlicense.txt
: optional copy of license(s) for this collectiongalaxy.yml
: source data for the MANIFEST.json that will be part of the collection packageplaybooks/
: playbooks reside heretasks/
: this holds 'task list files' forinclude_tasks
/import_tasks
usageplugins/
: all ansible plugins and modules go here, each in its own subdirmodules/
: ansible moduleslookups/
: lookup pluginsfilters/
: Jinja2 filter plugins- ... rest of plugins
README.md
: information file (this file)roles/
: directory for ansible rolestests/
: tests for the collection's content


mIF antibody
Description: Data specific to antibody preparation on the multiplex immunofluorescence platform.
Properties
| Property | Description | Data Type |
|---|---|---|
| Inherits all properties from schema: | assays.components.antibody | |
|
fluor_wavelength
required |
Wavelength registered for Alexa Fluor processing. |
<
integer
>
|
|
primary_ab_dilution
required |
Concentration ratio for primary antibody dilution. |
<
string
>
|
|
dilutent
required |
Dilution agent used for antibody sample. |
<
string
>
|
|
fluor_dilution
required |
Concentration ratio for fluor dilution agent. |
<
string
>
|
|
antigen_retrieval_time
required |
Length of time needed for antigen retrieval. |
<
string
: time
>
|
|
primary_incubation_time
required |
Length of time for primary antibody incubation. |
<
string
: time
>
|
|
amplification_time
required |
Length of time required for amplified signal detection. |
<
string
: time
>
|
| antibody | Antibody type collected for this study. | assays.components.antibody#antibody |
| clone | Resulting type of antibody clone from primary antibody sample. | assays.components.antibody#clone |
| company | Company from which antibody sample was derived. | assays.components.antibody#company |
| cat_num | Antibody registry catalog number assigned to antibody sample. | assays.components.antibody#cat_num |
| lot_num | Identification number assigned to the particular quantity or lot of material from manufacturer. | assays.components.antibody#lot_num |
| export_name | Name of this antibody in InForm export, e.g. 'CD8 (Opal 520)' |
<
string
>
|
| staining_order | Order of staining applied |
<
integer
>
|
mif_antibody.full.json
{
"$id": "mif_antibody",
"$schema": "metaschema/strict_meta_schema.json#",
"additionalProperties": false,
"allOf": [
{
"$id": "antibody",
"$schema": "metaschema/strict_meta_schema.json#",
"description": "Common information about an antibody used in a number of immune-oncology assays.",
"inheritableBase": true,
"properties": {
"antibody": {
"description": "Antibody type collected for this study.",
"type": "string"
},
"cat_num": {
"description": "Antibody registry catalog number assigned to antibody sample.",
"type": "string"
},
"clone": {
"description": "Resulting type of antibody clone from primary antibody sample.",
"type": "string"
},
"company": {
"description": "Company from which antibody sample was derived.",
"type": "string"
},
"lot_num": {
"description": "Identification number assigned to the particular quantity or lot of material from manufacturer.",
"type": "string"
}
},
"required": [
"antibody"
],
"title": "Antibody",
"type": "object"
}
],
"description": "Data specific to antibody preparation on the multiplex immunofluorescence platform.",
"mergeStrategy": "objectMerge",
"properties": {
"amplification_time": {
"description": "Length of time required for amplified signal detection.",
"format": "time",
"type": "string"
},
"antibody": {
"description": "Antibody type collected for this study.",
"type": "string"
},
"antigen_retrieval_time": {
"description": "Length of time needed for antigen retrieval.",
"format": "time",
"type": "string"
},
"cat_num": {
"description": "Antibody registry catalog number assigned to antibody sample.",
"type": "string"
},
"clone": {
"description": "Resulting type of antibody clone from primary antibody sample.",
"type": "string"
},
"company": {
"description": "Company from which antibody sample was derived.",
"type": "string"
},
"dilutent": {
"description": "Dilution agent used for antibody sample.",
"type": "string"
},
"export_name": {
"description": "Name of this antibody in InForm export, e.g. 'CD8 (Opal 520)'",
"type": "string"
},
"fluor_dilution": {
"description": "Concentration ratio for fluor dilution agent.",
"type": "string"
},
"fluor_wavelength": {
"description": "Wavelength registered for Alexa Fluor processing.",
"type": "integer"
},
"lot_num": {
"description": "Identification number assigned to the particular quantity or lot of material from manufacturer.",
"type": "string"
},
"primary_ab_dilution": {
"description": "Concentration ratio for primary antibody dilution.",
"type": "string"
},
"primary_incubation_time": {
"description": "Length of time for primary antibody incubation.",
"format": "time",
"type": "string"
},
"staining_order": {
"description": "Order of staining applied",
"type": "integer"
}
},
"required": [
"fluor_wavelength",
"primary_ab_dilution",
"dilutent",
"fluor_dilution",
"antigen_retrieval_time",
"primary_incubation_time",
"amplification_time"
],
"title": "mIF antibody",
"type": "object"
}


lObject hierarchies take time to stabilize; they are
constantly being re-organized during
development.
lTradtional “waterfall”
project schedules are inadequate.
lAllow for
evolutionary, long-term approach. Try to match re-structurings with major new business features


A Functional Grammar of Nunggubuyu
Table of Contents
- 1.1 The Nunggubuyu people
- 1.2 Main features of the language
- 1.3 The data base and its usage here
- 1.4 Use of this grammar
- 1.5 Acknowledgements
- 2.1 Vowel segments
- 2.2 Vowel archiphoneme /V/ and other problematic cases
- 2.3 Consonantal segments
- 2.4 Consonant archiphonemes /G/ and /N/
- 2.5 Paired stops and continuants; the problem of /w1/ and /w2/
- 2.6 Distributional restrictions: vowels
- 2.7 Distributional restrictions: initial and final C, CC
- 2.8 Distributional restrictions: medial CC clusters
- 2.9 CCC clusters
- 2.10 Phonologically significant phoneme classes
- 2.11 Intonation and pitch contour
- 2.12 /o:/
- 3.1 General
- 3.2 ngu-Epenthesis P-1
- 3.3 Initial Reduplication P-2
- 3.4 Final Reduplication P-3
- 3.5 Homorganic Semivowel-Deletion P-4
- 3.6 Initial Semivowel-Insertion P-5
- 3.7 w1-Insertion P-6
- 3.8 w-Insertion P-7
- 3.9 Velar-Insertion P-8
- 3.10 w1-Deletion P-9
- 3.11 y-Insertion P-10
- 3.12 Prefixal w2-Deletion P-11
- 3.13 Stem w2-Deletion P-12
- 3.14 w1-Palatalisation P-13
- 3.15 yr-Contraction P-14
- 3.16 iy-Contraction P-15
- 3.17 Lenition P-16
- 3.18 digu-Lenition P-17
- 3.19 Hardening P-18
- 3.20 Leftward-Hardening P-19
- 3.21 Pronominal d-Insertion P-20
- 3.22 Derivational d-Insertion P-21
- 3.23 Nasalisation P-22
- 3.24 Denasalisation P-23
- 3.25 rn-Contraction P-24
- 3.26 r-Deletion P-25
- 3.27 Palatal-Deletion P-26
- 3.28 Nasal-Assimilation P-27
- 3.29 Semivowel-Deletion P-28
- 3.30 Stop-Deletion P-29
- 3.31 Nasal-Deletion P-30
- 3.32 Geminate-Contraction P-31
- 3.33 lh-Delateralisation P-32
- 3.34 Initial Nasal-Deletion P-33
- 3.35 Feminine Prefix-Truncation P-34
- 3.36 Prefix-Truncation P-35
- 3.37 rV-Truncation P-36
- 3.38 V-Assimilation P-37
- 3.39 V-Ablaut P-38
- 3.40 Interjection-Formation P-39
- 3.41 Rdp-Shortening P-40
- 3.42 Nonsg-Shortening P-41
- 3.43 Adverb-Shortening P-42
- 3.44 Length-Shift P-43
- 3.45 Monosyllable-Lengthening P-44
- 3.46 Verb-Lengthening P-45
- 3.47 V-Truncation P-46
- 3.48 yi-Elision P-47
- 3.49 w2an-Contraction P-48
- 3.50 VV-Contraction P-49
- 3.51 V-Fronting P-50
- 3.52 Order of application
- 3.53 Diagrams of rule ordering
- 3.54 Final remarks on phonology
- 4.1 General
- 4.2 Common and adjectival nouns
- 4.3 Adverbial nouns
- 4.4 Personal names, including necronyms
- 4.5 Place names (toponyms)
- 4.6 Inflection and derivation
- 4.7 NC (noun-class) prefixes: forms
- 4.8 Uses of NCinfl prefixes
- 4.9 Uses of NCder prefixes; defective (bound) roots
- 4.10 Semantics of NC categories: human
- 4.11 Semantics of nonhuman NC categories: NA, NgARA
- 4.12 Semantics of nonhuman NC categories: WARA
- 4.13 Semantics of nonhuman NC categories: ANAø, ANAwu, and MANA
- 4.14 Types of reduplication
- 4.15 Regular number-marking
- 4.16 Minor plural markers: /man-/, /mulung-/, /-w1ang/, /-yung/, and /-yinyung/
- 4.17 Multiple /-w1ara(G)-/, Pl intensifier /-lhangu/
- 4.18 Case system: general
- 4.19 Nominative /-ø/
- 4.20 Allative-Dative /-w1uy/; direct vs. indirect object
- 4.21 Ablative /-w1ala/
- 4.22 Special nuclear uses of /-w1uy/ and /-w1ala/
- 4.23 Pergressive /-w2aj/ and Retrospective Pergressive /-w1aj/
- 4.24 Purposive /-yungguyung/
- 4.25 Locative /-ruj/
- 4.26 Ablative-Pergressive /-w1ala-waj/
- 4.27 Instrumental /-miri/
- 4.28 Originative /-mira:dhu/
- 4.29 Similative /-yi:/
- 4.30 Relative /-yinyung/
- 4.31 Vocatives
- 4.32 Postpositions: /-w2ugij/, /-maji:/, /-w2indi:yung/, /-maga:/, /-magi/
- 4.33 Nouns used as abstractives: /wunga:ri/, /wumangumangu/, /wungali/, /bari/, /lharug/, /wungubal/, /wuyungguwan/, /galij/
- 4.34 Nominal affixes used with other word classes
- 5.1 General
- 5.2 Stem morphology
- 5.3 Dual /-w2a:/ and /-w2i:yung/
- 5.4 Further analysis of stem forms
- 5.5 NPs with separate expression of propositus
- 5.6 Dyadic kin terms
- 5.7 Bereavement terms and avoidance style
- 5.8 Markedness relations; choice of propositus
- 5.9 Suffix sequence /-lhara-yung/
- 5.1 Kinship subcategories; body-part metonyms
- 5.11 Nonhuman kin terms and compounds
- 5.12 Kinship verbs
- 6.1 General
- 6.2 Stem forms
- 6.3 Uses of Nominative pronouns
- 6.4 Uses of Relative case forms of pronouns
- 6.5 Unsuffixed Oblique stem (predicate genitive)
- 6.6 Other nonzero case forms
- 6.7 Vocatives
- 6.8 Contrastive /-ayung/, /-ayung-gaj/
- 6.9 Emphatic /-waj/, /-waj-baj/
- 6.10 Sequential /-abilhangu/
- 6.11 Lateral derivatives
- 6.12 Suffix /-miri/
- 6.13 Postpositions: /-w2ugij/, /-maji:/, etc.
- 6.14 Interaction of pronominal and demonstrative categories
- 7.1 General
- 7.2 Forms of predicative (unprefixed) DemPro
- 7.3 Forms of nonpredicative (prefixed) DemPro
- 7.4 Uses of predicative and nonpredicative DemPro
- 7.5 Centripetal /-ala/, Centrifugal /-ali/, Transverse /-waj/
- 7.6 Concrete /-u/
- 7.7 Absolute /-yung/ and Absolute Dual /-yum-ba:/
- 7.8 Centripetal plus Ablative: /an-uba-ni:-'la-wala/
- 7.9 /-ala-yung/, /-ala-yung-gala/, /-ala-yung-gala-waj/
- 7.10 /-yung-gaj/
- 7.11 Demonstrative adverbs (DemAdv) in general
- 7.12 Locative DemAdv in /-ji/, /-gu/
- 7.13 Allative DemAdv in /-guni/
- 7.14 Directional DemAdv in /-u-wuy/
- 7.15 Centripetal DemAdv in /-ala/, /-ala-yung/
- 7.16 Centrifugal DemAdv in /-ali/
- 7.17 Pergressive DemAdv in /-waj/, /-waj-gaj/, /-w1ala-waj/
- 7.18 Case suffixes with DemAdv and DemPro: Locative /-ruj/
- 7.19 Case suffixes with DemAdv and DemPro: Instrumental /-miri/
- 7.20 Case suffixes with DemAdv and DemPro: /-mira:dhu/, /-w1ala/, /-w1uy/, /-yungguyung/, /-yi:/, /-yinyung/
- 7.21 Lateral DemAdv and DemPro: /ya:-ji-ji:-'la/, /ya:-ji-ji:-'li/, /wa-ga-ga:-'la/, /wa-ni:-'la/, etc.
- 7.22 'Facing here/away/' derivatives /-bu-gunu:-'/, /buguwugunu:/, /ba-ga:-'la/, /bagawaga:la/, /bagawaga:lu:/
- 7.23 Compounds with /mulung-/ 'group' and Gentilic /nuN-/
- 8.1 Tense-Aspect-Mood-Negativity categories
- 8.2 Formal expression of the categories
- 8.3 Aspect
- 8.4 Verb reduplication
- 8.5 Imperative
- 8.6 Past Potential
- 8.7 Evitative
- 9.1 General
- 9.2 Additional phonological modifications
- 9.3 Formal internal analysis of pronominal prefixes
- 9.4 Direct, inverse, and equipollent transitive prefixes
- 9.5 Categorial neutralisations in transitive prefixes
- 9.6 Portmanteaus
- 9.7 The pronominal hierarchy and morpheme ordering rules
- 9.8 B-Insertion and Inverse-Insertion
- 9.9 Deletions of component morphemes within pronominal prefixes
- 9.10 A morpheme conversion rule (-P1-becomes -Nonsg-)
- 9.11 Allomorph-Assignment for component morphemes
- 9.12 Nominative-accusative or ergative-absolutive patterning?
- 10.1 General
- 10.2 Benefactive /-aG-/ or /-wa:G-/
- 10.3 Comitative /-anyji-/
- 10.4 Multiple prefixes: /-ngaran-/ or /-ngaraG-/, /-w1ara-/ or /-w1araG-/, /-lhagara-/, /-w1aragara-/, /-w2algara-/
- 10.5 Reflexive suffix //-i-//
- 10.6 Reciprocal suffix /-nyji-/
- 10.7 Causative suffix /-jga-/, /-jgi-/
- 10.8 Inchoative verbalising suffixes /-ma-/, /-w1i-'-/, /-w2i-/, /-dhi-/
- 10.9 Factitive /-w1a-/, /-ga-/
- 10.10 Minor derivational affixes: 'together' prefixes /-anggara-/, /-albunguN-/, /-ilbuN-/, /-ambirwir-/, /-w1aji-/; suffixes /-ja-/, /-dha-/, /-mi-/
- 10.11 Combinations of two or more derivational affixes
- 11.1 General
- 11.2 Verb classes
- 11.3 Identification of suffix allomorphs
- 11.4 Identification of stem-final vowel
- 11.5 YA class augments
- 11.6 Suppletive verbs: 'to come', 'to go'
- 11.7 Aspectual subsystems in the inflectional affixation
- 11.8 Assignment of verbs to inflectional classes
- 11.9 Textual attestations (selected)
- 12.1 Definitions: particle, postposition, enclitic particle
- 12.2 Verbal root forms
- 12.3 /adaba/ or /aba/ 'now, then' (immediate)
- 12.4 /mari/ or /nga/ 'and'
- 12.5 /wurugu/ 'later'
- 12.6 /ngijang/ 'more, again, further'
- 12.7 Anticipatory /yingga/, /araga/ 'suddenly', /giya:/ 'look out:'
- 12.8 Confirmative particles: /yigaj/, /ngubindi/
- 12.9 Exhortative particles: /jiri/, /wili/, /nga:bang/, /ma/
- 12.10 Concessive /wulguy/, Adversative /yagu/
- 12.11 Dubitatives /ari/, /muga/, /nga:lhug/
- 12.12 /yaga:/
- 12.13 Similative /ngunyju/ 'like, as'
- 12.14 /arbidi/ 'anyway' (noun)
- 12.15 Enclitic /yamba/ 'because'
- 12.16 Emotive exclamations: /aduga/, /anyjawalayung/
- 12.17 Terminal particle /wi:ya:/ 'that's all:'
- 12.18 Affirmative particles: /yao:/, /i:./
- 12.19 Self-correcting /gada:/
- 12.20 Exclamations: /gao:/, /way:/, /gay:/, /yay:/, /gaga:/, /yagay:/
- 12.21 Postpositions: /-w2ugij/, /-maji:/, /-maga:/, /-magi/, /-w2indi:yung/, /-lhangu/
- 13.1 Yes/no particles: /yu:ga/, /aliyung/, /ala/
- 13.2 WH interrogatives: general remarks
- 13.3 /yangi/ 'what?'
- 13.4 /yangi-mayi/, nuny-jangi-mayi/ '(of) what place?'
- 13.5 /yangi-nyung/, /yangi-nyum-ba:/, /yanga-yangi/ 'who?'
- 13.6 /-ngargu/ 'how much?, how many?'
- 13.7 /lhal-ngargu/ 'when?'
- 13.8 Interrogative-demonstratives
- 13.9 Interrogative verb /=yaminggari-/
- 13.10 /(w)a:ng/ 'whatchamacallit?'
- 14.1 Classification of cpds.
- 14.2 Special cpd. initials
- 14.3 Special cpd. finals
- 14.4 Auxiliary compound finals: /-w2u-/ and others
- 14.5 Nc-NAdj and (rare) Nc-Nc cpds.
- 14.6 Grammatical relation of nominal cpd. initial
- 14.7 Derivational layering (double cpds., etc.)
- 14.8 Discourse uses of productive cpds.
- 14.9 Transitivity changes accompanying compounding
- 14.10 Unmarked (dummy) cpd. initials: /-w1ara-/, /-lhalma-/, /-ngagara-/, /-rangga-/, /-wurugu-/, /-malangaG-/, /-aG-/
- 14.11 Gentilic /nuN-/
- 14.12 Special nuclear initials: /bala-/ 'side', /malG-/ 'time(s)', /agalhal-/ 'season', /lhal-/ 'country, place'
- 14.13 /w1andha-/ 'craving' , /anyji-/ 'being with' as cpd. initials
- 14.14 Proprietive derivation: reduplication and suffix /-yij/
- 14.15 Nc or NAdj nominaliser /-j/ (with or without reduplication)
- 14.16 Abstractive nominalisations: /-j/, /-ny/
- 14.17 Special reduplications of /anybaj/ 'other, different'
- 14.18 Cpd. initial /-malangaG-/ 'considerably, very'
- 14.19 Actor-indexing cpd. initials for myth characters
- 14.20 Special Pl/Collective initials with verbs and NAdj: /-man-/, /-mandag-/, /-mulung-/
- 14.21 Root nouns (participial, agentive); Negative final /-ari/
- 14.22 /-w2alij/ 'pair of'
- 14.23 Diminutives (compounded or by consonantal "symbolism")
- 14.24 Irregular and problematic sets
- 14.25 Numerals; /anyja:-'nyja:-'nyja:bugij/ 'one by one'
- 15.1 General
- 15.2 Status of "NP"
- 15.3 Status of "VP"
- 15.4 Basic word order patterns within breath/intonation groups
- 15.5 Status of "clause"; double-predicate construction
- 15.6 Negation, "negative context," and aspectual skewing
- 15.7 Conjunction (of nouns, etc.)
- 15.8 Possession
- 15.9 Grammatical relations; "dummy" subjects
- 16.1 Simple clause conjunction and chaining
- 16.2 Status of "complement" and "subordinated" clauses
- 16.3 Direct and indirect quotation
- 16.4 Relative clause with /-yinyung/ ; case-spreading from head noun
- 16.5 Purposive clause with /-yungguyung/
- 16.6 Other case suffix subordinators: /-ruj/, /-w1ala/, /-waj/, /-w1uy/, /-mira:dhu/, /-miri/, /-yi:/
- 16.7 Conditionals
- 16.8 'to want' construction
- 16.9 Rough equivalents of English matrix verb with complements
- 16.10 Comparatives
- 17.1 General
- 17.2 Remarks on "Text A"
- 17.3 Information units in Text A (Echoes, Rephrasings, etc.)
- 17.4 Discourse uses of intonation
- 17.5 Referential tracking and disambiguation
- 17.6 Focus, topic, definiteness, givenness
- 17.7 Preposed and "afterthought" constituents
- 17.8 Compounding in Text A
- 17.9 Particles in Text A
- A. Adaptation of English and Creole borrowings
- B. Historical linguistic notes
- C. Addenda/Corrigenda to earlier publications
>


Why you should ignore Goldman on Aussie interest rates
by Houses and HolesVia Goldman:
“We continue to lean towards the RBA reducing the cash rate to 0.5 per cent in the near term before remaining on hold over the next few years, with the pick up in growth and house prices easing pressure to deliver additional stimulus.”
In turn, we don’t expect the RBA to pursue QE and other unconventional measures in 2020.
There are 1272 words left in this subscriber-only article.


Senior leader at troubled Plymouth school suspended amid 'bullying claims'
It comes after the CEO of ACE Schools Multi Academy Trust was suspended and left with immediate effect
by Katie TimmsA senior leader at a troubled Plymouth school has been suspended amid 'bullying and mismanagement' claims.
Chris Humphries, director of performance at ACE Schools Multi Academy Trust, which is based at Martins Gate, Bretonside, was suspended earlier this week and an investigation is underway.
In an email, seen by Plymouth Live, staff at ACE were informed of Mr Humphries' suspension and asked to send "submissions with respect to bullying and mismanagement" to the board of governors.
A source, who wished to remain anonymous, told Plymouth Live that there 'were a number of issues surrounding senior leaders' at the trust.
Ace Schools confirmed that it had a "formal process running currently" and it was "not in a position to comment" at this time.
It comes after Sarah Gillet, CEO of ACE MAT was suspended and left with immediate effect in July this year.
School staff have previously said that they feel "mistreated" and have gone out on strike to voice their concerns with staff treatment.
Mr Humphries' profile on the trust website states: "I worked for fourteen years running Outdoor Education Centres around the UK before retraining as a geography teacher and combining my outdoor education qualifications with teaching.
"I have led an outstanding pupil referral unit, been shortlisted for a TES Leadership award, hold an NPQH qualification and also am currently a specialist leader in education for behaviour and leadership.
"My core values are based on helping make a difference not just to our students but also to our staff and partners. I am currently undertaking a masters in coaching and mentoring to help embed a coaching philosophy across our organisation and through the training we offer other organisations.
"Much of my personal time is devoted to my love of sailing which has been a lifelong passion."
The trust specialises in providing for children of both primary and secondary school age who have needs outside mainstream education and operates from a number of locations around Plymouth as well as satellite bases in Devon and Cornwall.
In 2017, Courtlands Special School joined the trust.
Do you have a story to share or for us to investigate?
Get in touch using<EMAIL_ADDRESS>, call<PHONE_NUMBER>2 or tweet me @KatieTimms94 .


NUSTEM Live!
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{% extends "baseContent.html" %} {% import "_macros.html" as macros %} {% block title %}Our Approach{% endblock %}{% block page_content %}
EducationFirst! helps students select and apply to independent boarding schools which are the right fit for them - educational environments where students will be happy, where they will find challenges both inside and outside the classroom, and where they will achieve individual successes and personal growth.
EducationFirst! helps students focus on those schools which offer programs and facilities that meet their individual needs and aspirations.
EducationFirst! defines success as admission to a school where students will be challenged to make the most of his/her talents and skills, to grow personally and emotionally, to discover new interests, to fully participate in the life of the school, to become engaged in the classroom, in extracurricular activities and in athletics, to take reasonable risks, to have fun, and to experience a successive number of personal accomplishments.
EducationFirst! helps students develop and execute a personal admissions plan designed to reduce anxieties, address areas of weakness, showcase areas of strength, and communicate their own individuality.
EducationFirst! is sensitive to individual learning styles and learning differences, and works with both average and highly gifted students. While not trained testers or psychologists, EducationFirst! does refer students for outside evaluation when appropriate.
EducationFirst! is an independent educational consultant with no financial arrangements with schools. Fees are paid by parents and services are focused on what is best for each individual student.


Sample Projects
Ping Pong Number and Word Game Preview Live
Description
A web application that takes a number from a user and returns a range of numbers from 1 to the chosen number with the following exceptions:
- Numbers divisible by 3 are replaced with "ping"
- Numbers divisible by 5 are replaced with "pong"
- Numbers divisible by 15 are replaced with "pingpong"
- A user will be able to enter a new number and see new results over and over again.
Technologies Used Include
- HTML
- CSS
- BOOTSTRAP
- JQUERY
- JAVASCRIPT
Description
Anita's Kitchen, Home of real food, Made real good.
Technologies Used Include
- HTML
- CSS
- Bootstrap
- javascript
Description
Msitu kwetu. Home away from Home.
Technologies Used Include
- HTML
- CSS
- BOOTSTRAP
- JQUERY


Provides functionality for carrying out estimation
with data collected using Respondent-Driven Sampling. This includes
Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential
Sampling estimator. The package is part of the "RDS Analyst" suite of
packages for the analysis of respondent-driven sampling data.
See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x> and
Gile and Handcock (2015) <doi:10.1111/rssa.12091>.
| Version: |
0.8-1 |
| Depends: |
R (≥ 2.5.1), methods |
| Imports: |
gridExtra, ggplot2 (≥ 2.0.0), network, igraph, reshape2, scales, anytime, Hmisc, ergm, isotone |
| Suggests: |
survey, testthat |
| Published: |
2017-12-01 |
| Author: |
Mark S. Handcock [aut, cre],
Krista J. Gile [aut],
Ian E. Fellows [aut],
W. Whipple Neely [aut] |
| Maintainer: |
Mark S. Handcock <handcock at stat.ucla.edu> |
| License: |
LGPL-2.1 |
| URL: |
http://www.hpmrg.org |
| NeedsCompilation: |
yes |
| Citation: |
RDS citation info |
| CRAN checks: |
RDS results |


When a Food Inspector visits a location, they will evaluate it based on the following criteria. You can see the list on the City of Chicago website.
| Violation # | Health Standard to Be Met | Violation Type |
|---|---|---|
| 1 |
|
Critical |
| 2 |
|
Critical |
| 3 |
|
Critical |
| 4 | All food shall be protected from contamination and the elements, and so shall all food equipment, containers, utensils, food contact surfaces and devices, andehicles. | Critical |
| 5 | No person affected with or carrying any disease in a communicable form or afflicted with boils, infected wounds, sores, acute respiratory infection, or intestinal disorder shall work in any area of a food establishment in any capacity where there is a likelihood of that person contaminating food or food contact surfaces. | Critical |
| 6 | All employees who handle food shall wash their hands as often as necessary to maintain a high degree of personal cleanliness and should conform to hygienic practices prescribed by the Board of Health. | Critical |
| 7 | Hand washing of all tableware and drinking utensils shall be accomplished by the use of warm water at a temperature of 110°F to 120°F containing an adequate amount of detergent effective to remove grease and solids. | Critical |
| 8 | Equipment and utensils should get proper exposure to the sanitizing solution during the rinse cycle. Bactericidal treatment shall consist of exposure of all dish and utensil surfaces to a rinse of clean water at a temperature of not less than 180°F. | Critical |
| 9 | All food establishments shall be provided with an adequate supply of hot and cold water under pressure properly connected to the city water supply. | Critical |
| 10 | In food establishments, there shall be adequate sewage and waste water disposal facilities that comply with all the requirements of the plumbing section of the Municipal Code of Chicago. | Critical |
| 11 | Adequate and convenient toilet facilities shall be provided. They should be properly designed, maintained, and accessible to employees at all times. | Critical |
| 12 | Adequate and convenient hand washing facilities shall be provided for all employees. | Critical |
| 13 | All necessary control measures shall be used to effectively minimize or eliminate the presence of rodents, roaches, and otherermin/insect infestations. | Critical |
| 14 | A separate and distinct offense shall be deemed to have been committed for each Seriousiolation that is not corrected upon re-inspection by the health authority. | Critical |
| 15 | Food once served to a consumer shall not be re-served, with the exception of packaged food remaining in its original, unopened package. | Serious |
| 16 | All food should be properly protected from contamination during storage, preparation, display, service, and transportation. | Serious |
| 17 | Thawing frozen food for further processing shall be accomplished by storage in a refrigerator at 40°F or less, or by other approved method. | Serious |
| 18 | All necessary control measures shall be used to effectively minimize or eliminate the presence of rodents, roaches, and otherermin and insects on the premises of all food establishments, in food-transportingehicles, and inending machines. | Serious |
| 19 | The area outside of the establishment used for the storage of garbage shall be clean at all times and shall not constitute a nuisance. | Serious |
| 20 | All garbage and rubbish containing food wastes shall, prior to disposal, be stored in metal containers with tight fitting lids and shall be kept covered except when opened for the disposal or removal of garbage. | Serious |
| 21 | A certified food service manager must be present in all establishments at which potentially hazardous food is prepared or served. | Serious |
| 22 | All dishwashing machines shall maintain proper water pressure and must be provided with suitable thermometers, chemical test kits, and gauge cocks. | Serious |
| 23 | Dishes and other utensils shall be rinsed or scraped to remove gross food particles and other soil before washing. | Serious |
| 24 | All dishwashing machines must be of a type that complies with all requirements of the plumbing section of the Municipal Code of Chicago and Rules and Regulation of the Board of Health. | Serious |
| 25 | Only such poisonous and toxic materials as are required to maintain sanitary conditions may be used in food establishments and they shall not be used in any hazardous manner. | Serious |
| 26 | When toilet and lavatory facilities are provided for the patrons of food establishments, such facilities shall be adequate in number, convenient, accessible, properly designed, and installed according to the municipal code. | Serious |
| 27 | In all food establishments, toilet facilities shall be kept clean and in good repair and shall include an adequate supply of hot and cold or tempered water, soap, and approved sanitary towels or other approved hand-drying devices. | Serious |
| 28 | One copy of the Food Inspection Report Summary must be displayed andisible to all customers. | Serious |
| 29 | A separate and distinct offense shall be deemed to have been committed for each Minoriolation that is not corrected upon re-inspection by the health authority. | Serious |
| 30 |
|
Minor |
| 31 | Containers and utensils shall be inverted, covered, or otherwise protected from contamination until used. All single-service drinking straws and containers shall be discarded immediately after use. | Minor |
| 32 | All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair. | Minor |
| 33 |
|
Minor |
| 34 | The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. | Minor |
| 35 |
|
Minor |
| 36 |
|
Minor |
| 37 |
|
Minor |
| 38 |
|
Minor |
| 39 | Soiled and clean linens, coats, and aprons shall be properly stored. | Minor |
| 40 | All food establishments that display, prepare, or store potentially hazardous foods shall have calibrated metal stem thermometers, provided and conspicuous, for refrigerated and hot food units. | Minor |
| 41 |
|
Minor |
| 42 |
|
Minor |
| 43 | Between uses and during storage ice dispensing utensils and ice receptacles shall be stored in a way that protects them from contamination. | Minor |
| 44 | The traffic of unnecessary persons through the food preparation and the utensil washing areas is prohibited. | Minor |
| 70 | Smoking shall be prohibited in all public places except in designated smoking areas. | Minor |
A project by Derek Eder


Manual: asm
not documented
volatile
+init(self, type, offset, base = null, index = null, scale = null)
not documented | self | not documented |
| type | not documented |
| offset | not documented |
| base | not documented |
| index | not documented |
| scale | not documented |
| returns | not documented |
volatile
not documented
volatile
not documented
volatile
not documented
volatile
not documented
volatile
+init(self, type, value)
not documented | self | not documented |
| type | not documented |
| value | not documented |
| returns | not documented |
volatile
not documented
volatile
not documented
volatile
not documented
volatile
not documented
volatile
not documented
volatile
not documented
volatile
not documented
volatile
+init(self, type, index)
not documented | self | not documented |
| type | not documented |
| index | not documented |
| returns | not documented |
volatile
not documented
volatile
not documented
volatile
not documented
volatile
encode_ins(uid, args, features = null)
not documented | uid | not documented |
| args | not documented |
| features | not documented |
| returns | not documented |
volatile
not documented
volatile
not documented
volatile
name = "asm"
not documented volatile
not documented
volatile
not documented
volatile


 It's
easy to install, open source, and has a great community!
 It's
easy to install, open source, and has a great community!


MICHAEL LEE SANCHEZ
FULL STACK WEB DEVELOPER | GRAPHIC DESIGNEREducation
20172018
Full Stack Web Development
UCLA Extension Los Angeles, CA- An intensive 24-week long boot camp dedicated to designing and building web applications. Skills learned consisted of HTML5, CSS3, Javascript, JQuery, Bootstrap, ReactJS, NodeJS, Express, MySQL, MongoDB, and GIT.
Experience
2008present
Label Manager | Graphic Designer
InStereo Recordings Los Angeles, CA- Manage all music releases and campaigns in a timely and cost efficient manner.
- Graphic design for all media products and formatting for digital distribution.
19992008
Graphic Designer
Fisher Broadcasting Boise, ID- Designed and implemented television news graphics from scratch for use during on-air broadcasts.
- Supervised and maintained design standards across a team of 10.
- Mastered use of Adobe Photoshop, Adobe Illustrator, Chyron Max, and Avid Pinnacle.
Selected Projects
2018
Mongo News Tracker
Front & Back End Developer- Web app that retrieves and saves the top news articles of the day with the ability to add personalized notes.
- Developed using HTML, CSS, JavaScript, jQuery, ExpressJS and MongDB.
- github.com/MikeS74/MongoNewsTracker
2017
Front of House
Front & Back End Developer- Review site where restaurant employees can leave feedback for specific businesses.
- Developed using HTML, CSS, JavaScript, jQuery, ExpressJS and SQL.
- github.com/MikeS74/FrontOfHouse
2017
Twitter/Spotify CLI
Back End Developer- Node CLI that displays Twitter, Spotify, and OMDB API responses with user supplied arguments.
- Developed using JavaScript, Node.js, API's from Twitter, Spotify, and OMDB.
- github.com/MikeS74/TwitterSpotifyCLI


Janus VR Guide Janus VR Markup language Janus VR FAQs JavaScript API(Janus)
Where are the settings files located?
Since 40.4, userid.txt and other settings files are in an OS-dependent location (note that since 42.5, you can use the "Settings Folder" button found in the ESC menu to take you directly to the location):
How do I switch Janus VR between monitors (running multiple monitor desktop, or using with Oculus Rift)?
First, it's worth noting you can run Janus VR and use the -adapter X command line parameter, which launches Janus fullscreen onto screen X. (To do this on Windows, right click janusvr.exe and create a shortcut to it. Right click the shortcut and under "properties", for "target", add e.g. -adapter 0 to launch directly onto screen 0)
Second, for Windows, a quick shortcut key to move Janus between screens is Shift+Windows+Left/Right Arrow.
Finally, you can also move the Janus window around by doing the following: press F9 to free the mouse (also brings Janus into windowed mode if fullscreen). Drag the window over to the screen you want. Click in the window (attaches the mouse again) then press F11 to toggle fullscreen.
How do I create a new local workspace?
Edit the workspaces.txt settings file (see here for where it can be found), and add a line providing a relative path to the new workspace - specifically the HTML file which defines the content of the new room. (Personally, I tend to keep these workspaces organized in their own subdirectories within the "workspace" directory - but it is possible to create workspaces elsewhere.)
I want to view the FireBoxRoom code ("view the page source") for a site I am visiting, how can I do this?
Within Janus VR and standing in the room, press Ctrl + S. You will hear "FireBoxRoom saved". Then, in the "workspace" directory (relative to the Janus VR program directory), you will see an html file called "out" with a timestamp in the filename with the date and time you saved the file.
How do I add a bookmark for a room I am in?
From within Janus, press Ctrl + B and the URL will be added to your bookmarks list. Another way is to copy (Ctrl + C) within Janus and paste it in the "bookmarks.txt" file (see here for where it can be found).
How do I access bookmarks or workspaces?
Bookmarks and workspaces can be accessed from anywhere by doing the following: press Tab to specify a URL for a portal, and into the dialog type either:
bookmarksor
workspacesas the URL, and Janus VR will generate a room with portals for each of your bookmarks/workspaces.
More recently, bookmarks can now be directly accessed via a portal which is created in the escape menu, which is located to your left.
How do I take screenshots/thumbnails for portals?
Press F8 to take screenshots. Press F7 to take "thumbnail" screenshots suitable for using on portals. Screenshots are in jpeg format and will be in the workspaces folder, with the filename "out" and a timestamp in the filename. Screenshots (taken with F8) will be the same resolution as the Janus VR window at the time they were taken.
What is the default eye height?
The default eye height is presently 1.6 metres from the ground.
How is the "in room" height and width determined for image elements?
The width of images will always be 2 metres wide at the default scale. Height is determined by the aspect ratio (height to width) of the particular image. The depth/thickness is always 0.1 metres (or 10 centimetres) at the default scale. From there, you're free to scale things by a multiple of your choosing using the scale="" property for the Image (x width, y height, z thickness/depth). The anchor point (local origin) will be at the centre of the rectangle (width/height wise), and lying on "the back" of the image.
How do I change my name in multiplayer?
Method 1 (outside of Janus): Open the userid.txt file (see here for where it can be found), and change the "id" attribute of the Ghost tag.
Method 2 (from within Janus): Press T to type a message, and do
#userid NAMEwhere NAME is the user id you want, then press enter.
I have a body and head for my avatar, but the head is not rotating correctly?
To fix this, you need to set the head_pos property of the Ghost (in the userid.txt file), or from within Janus, use #head_pos X Y Z command where (X,Y,Z) is the coordinate for the head's pivot point (in the model space, e.g. if you modelled the torso in Blender and the point at the base of the neck is at (0,2,0), this is the value to assign head_pos). So in that example, one would type:
#head_pos 0 2 0Having the escape menu open while changing the head_pos value is handy since you can see your avatar and can observe the change as it is made.
How do I change my avatar or its appearance?
Easiest way: find a Ghost (or "non-player character") in Janus, and Ctrl + Left click the Ghost. Your avatar's appearance will then be the same as the Ghost. You can also change some properties of your avatar by using commands in chat. For example, the command #scale 3 3 3 will scale up your avatar by a factor of 3. The command #col 1 0 0 will make your avatar red (format is #col r g b, where r,g,b range between 0 and 1). #pos X Y Z will move your avatar to position (X,Y,Z) in the current room. The command #lighting true (true is default, can also be false) sets whether to use the default lighting.
The userid.txt now contains something akin to a FireBoxRoom, but which instead defines the avatar for the player. A simple version is the following example, which uses the "boxy default model" and has a numeric id set by default (set the id of the Ghost to the name you want to use (Change USER_ID to your nickname):
<FireBoxRoom> <Assets> </Assets> <Room> <Ghost id="USER_ID" head_pos="0 0 0" scale=".925 .925 .925"/> </FireBoxRoom>A more complex Ghost defines custom geometry for the head and body portions. The userid.txt avatar file contains two AssetObjects for the geometry of the head and body. These are connected by setting the head_id and body_id tags for the Ghost, like in the following example (change USER_ID to your nickname).
Example userid.txt:
<FireBoxRoom> <Assets> <AssetObject id="kerghead" src="http://vrsites.com/assets/Firefoxg/4/kerghead.obj" mtl="http://vrsites.com/assets/Firefoxg/4/kerghead.mtl" /> <AssetObject id="kergbody" src="http://vrsites.com/assets/Firefoxg/4/kergbody.obj" mtl="http://vrsites.com/assets/Firefoxg/4/kergbody.mtl" /> </Assets> <Room> <Ghost id="USER_ID" head_id="kerghead" head_pos="0.000 3.200 0.000" body_id="kergbody" scale="0.325 0.325 0.325" col="1 1 1" cull_face="none" /> </Room> </FireBoxRoom>
Another example userid.txt:
<FireBoxRoom> <Assets> <AssetObject id="head" src="http://vrsites.com/assets/JamesMcCrae/2/rikku_head.obj" mtl="http://vrsites.com/assets/JamesMcCrae/2/rikku_head.mtl" /> <AssetObject id="body" src="http://vrsites.com/assets/JamesMcCrae/2/rikku_body.obj" mtl="http://vrsites.com/assets/JamesMcCrae/2/rikku_body.mtl" /> </Assets> <Room> <Ghost id="USER_ID" head_id="head" body_id="body" head_pos="0 1 0" cull_face="none" lighting="false" /> </Room> </FireBoxRoom>
Note: since 33.1, additional AssetObject and Object tags can be used for avatars!
Note: since 40.4, userid.txt and other settings files are in an OS-dependent location:
Can I adjust virtual IPD (interpupillary distance) or the eye position relative to the avatar from within Janus VR?
Yes. To change IPD use the command: #eye_ipd X where X is the distance between your virtual eyes in metres. To change eye position use the command: #eye_pos X Y Z where (X,Y,Z) is the new central eye position relative to your avatar. The default virtual IPD used is taken from the physically calibrated IPD value reported by the Rift.
How do I make Janus VR start at a URL other than the default lobby?
Run Janus VR passing the initial URL to use as a parameter. For instance, to start on http://www.google.ca you would run Janus VR using the following:
janusvr http://www.google.ca
I made a DIY HMD, how can I experience Janus VR with it using SBS (Side By Side) rendering?
Use the command line parameter to specify the render mode (use "sbs" with the -render flag):
janusvr -render sbs
or if the left/right eye images seem flipped/reversed, you can also run Janus VR using:
janusvr -render sbs_reverse
Note: a complete list of all command-line parameters can be found by the following:
janusvr -help
What are all the command line parameters available?
Use the command line parameter -help to show all the parameters:
Janus VR - Help Command line usage:\n\n"; janusvr [-server SERVER] [-port PORT] [-rate RATE] [-ms SAMPLES] [-adapter X] [-render MODE] [-window] [-help] [url] -server - SERVER specifies the server to create an initial portal -port - PORT is a number that specifies the port of the server to connect to -rate - RATE specifies update rate in milliseconds with multiplayer server (default 100ms) -ms - SAMPLES specifies number of anti-aliasing samples to use (default 0) -adapter - X specifies the screen that the Janus window will be positioned on -render - MODE specifies render mode (can be any of: 2d, sbs, sbs_reverse, rift) -window - launch as a window instead of fullscreen -help - prints out this help information, then exits url - location to start in


Defines a networking framework to implement protocols in seven layers.
Layers 1-4: considered the lower layers, and mostly concern themselves with moving data around.
Layers 5-7: the upper layers, contain application-level data.
The TCP/IP Model
The TCP/IP protocol suite maps to a four-layer conceptual model known as the DARPA model, which was named after the U.S. government agency that initially developed TCP/IP
routing
Routing involves the process of selecting a path for traffic in a network, or between or across multiple networks.


Using Jupyter Notebooks with the Clinical Knowledge Graph¶
The Jupyter Notebook is used to interact with the notebooks provided in the Clinical Knowledge Graph. This open-source application allows you to create and share code, vizualize outputs and integrated multiple big data tools.
In order to get started, make sure you have Python installed (3.3 or greater) as well as Jupyter Notebook. The latter can be installed using pip (see below).For more detailed instructions, visit the offical guide.
$ python3 -m pip install --upgrade pip
$ python3 -m pip install jupyter
Congratulations! Now you can run the notebook, by typing the following command in the Terminal (Mac/Linux):
$ jupyter notebook
Or,
$ jupyter-notebook
As part of the Clinical Knowledge Graph package, we provide a series of Jupyter notebooks to facilitate the analysis of data, database querying and the use of multiple visualization tools. These notebooks can be found in src/notebooks
, under reporting
or development
.
Note
If you would like to use two instances of the same notebook, just duplicate inplace and modify the name accordingly.
Warning
If the Clinical Knowledge Graph is deployed in a server, please set up a Jupyter Hub in order to allow access to the Jupyter Notebook.
Reporting notebooks¶
Reporting notebooks referes to Jupyter notebooks that have been finished and properly tested by the devleopers, and are ready to be used by the community.
project_reporting.ipynb
Easy access to all the projects in the graph database. Loads all the data from a specific project (e.g. “P0000001”) and shows the report in the notebook. This notebook enables the visualization of all the plots and tables that constitue a report, as well as all the dataframes used and produced during its generation. By accessing the data directly, you can use the python functionality to further the analysis or visualization.
working_with_R.ipynb
Notebook entirely written in R. One of the many advantages of using Jupyter notebooks is the possibility of writing in different programming languages. In this notebook, we demonstrate how R can be used to, similarly to project_reporting.ipynb, load a project and explore the analysis and plots.
In the beginning of the notebook, we create costum functions to load a project, read the report, read a dataset, and plot and network from a json file. Other R functions like these can be developed by the users according to their needs.
Parallel plots.ipynb
An example of a new interactive visualization method, not currently implemented in the Clinical Knowledge Graph, but using data from a stored project. We start by loading all the data and the report of a specific project (e.g. “P0000001”), and accessing diferent dataframes within the proteomics dataset, as well as, the correlation network. This plot is then converted into a Pandas DataFrame and used as input for the interactive Parallel plot.
The function is created and made interactive with Jupyter Widgets interact
function (ipywidgets.interact
), which automatically creates user interface (UI) controlos within the notebook. In this case, the user can select different clusters of proteins (from the correlation network) and observe their variation across groups.
Urachal Carcinoma Case Study.ipynb
Jupyter notebook depicting the use of the Clinical Knowledge Graph database and the analytics core as a decision support tool, proposing a drug candidate in a specific subject case.
The project is analysed with the standard analytics workflow and a list of significantly differentially expressed proteins is returned. To further this analysis we first filter for regulated proteins that have been associated to the disease in study (lung cancer); we then search the database for known inhibitory drugs for these proteins; and to narrow down the list, we can query the database for each drug’s side effects. The treatment regimens are also available in the database and their side effects can be used to rank the proposed drugs. We can prioritize drugs with side effects dissimilar to the ones that caused an adverse reaction in the patient, and identify papers where these drugs have already been associated to the studied disease, further reducing the list of potential drugs candidates.
Development notebooks¶
In src/report_manager/development
we gathered Jupyter notebooks with analysis and workflows we believe are of interest for the users but are still under development.
When a notebook in this folder is functional and successfully benchmarked, the notebook is moved to the reporting directory.


Sessions Of Actions Funnel
- Cohorts are aggregated count of customers who are acting in same way at given time period. In our study, cohorts covers number of customers who have same transaction in given time period and upcoming days/weeks.
-
What are the metrics for Cohorts?
Download to First order, First to Second, Second to Third, Third to Fourth Order Cohorts. -
Download to First Order Cohort
If there isn`t any downloaded date, you may assign any date which is related to customers of first event with your business. This cohort of date column represent download date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the downloaded date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have downloads in 2021-05-06 and have first orders 10 days later. -
First to Second Order Cohort
This cohort of date column represent first order date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the first order date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have first orders in 2021-05-06 and have second orders 10 days later. -
Second to Third Order Cohort
This cohort of date column represent second order date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the second order date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have second orders in 2021-05-06 and have third orders 10 days later. -
Third to Fourth Order Cohort
This cohort of date column represent third order date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the third order date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have third orders in 2021-05-06 and have fourth orders 10 days later.


descriptor_evaluation
-
kp2d.evaluation.descriptor_evaluation.
compute_homography
(data, keep_k_points=1000)[source] Compute the homography between 2 sets of Keypoints and descriptors inside data. Use the homography to compute the correctness metrics (1,3,5).
- Parameters
data (dict) –
Input dictionary containing: image_shape: tuple (H,W)
Original image shape.
- homography: numpy.ndarray (3,3)
Ground truth homography.
- prob: numpy.ndarray (N,3)
Keypoint vector, consisting of (x,y,probability).
- warped_prob: numpy.ndarray (N,3)
Warped keypoint vector, consisting of (x,y,probability).
- desc: numpy.ndarray (N,256)
Keypoint descriptors.
- warped_desc: numpy.ndarray (N,256)
Warped keypoint descriptors.
keep_k_points (int) – Number of keypoints to select, based on probability.
- Returns
correctness1 (float) – correctness1 metric.
correctness3 (float) – correctness3 metric.
correctness5 (float) – correctness5 metric.
-
kp2d.evaluation.descriptor_evaluation.
compute_matching_score
(data, keep_k_points=1000)[source] Compute the matching score between two sets of keypoints with associated descriptors.
- Parameters
data (dict) –
Input dictionary containing: image_shape: tuple (H,W)
Original image shape.
- homography: numpy.ndarray (3,3)
Ground truth homography.
- prob: numpy.ndarray (N,3)
Keypoint vector, consisting of (x,y,probability).
- warped_prob: numpy.ndarray (N,3)
Warped keypoint vector, consisting of (x,y,probability).
- desc: numpy.ndarray (N,256)
Keypoint descriptors.
- warped_desc: numpy.ndarray (N,256)
Warped keypoint descriptors.
keep_k_points (int) – Number of keypoints to select, based on probability.
- Returns
ms – Matching score.
- Return type
float
Compute a list of keypoints from the map, filter the list of points by keeping only the points that once mapped by H are still inside the shape of the map and keep at most ‘keep_k_points’ keypoints in the image.
- Parameters
keypoints (numpy.ndarray (N,3)) – Keypoint vector, consisting of (x,y,probability).
descriptors (numpy.ndarray (N,256)) – Keypoint descriptors.
H (numpy.ndarray (3,3)) – Homography.
shape (tuple) – Image shape.
keep_k_points (int) – Number of keypoints to select, based on probability.
- Returns
selected_points (numpy.ndarray (k,2)) – k most probably keypoints.
selected_descriptors (numpy.ndarray (k,256)) – Descriptors corresponding to the k most probable keypoints.
-
kp2d.evaluation.descriptor_evaluation.
select_k_best
(points, descriptors, k)[source] Select the k most probable points (and strip their proba). points has shape (num_points, 3) where the last coordinate is the proba.
- Parameters
points (numpy.ndarray (N,3)) – Keypoint vector, consisting of (x,y,probability).
descriptors (numpy.ndarray (N,256)) – Keypoint descriptors.
k (int) – Number of keypoints to select, based on probability.
- Returns
selected_points (numpy.ndarray (k,2)) – k most probably keypoints.
selected_descriptors (numpy.ndarray (k,256)) – Descriptors corresponding to the k most probable keypoints.


Remote Servers
For the past several years, I’ve been working on data-science/research projects, starting in the industry and a couple of undergraduate assignments and more recently by doing research as a graduate student. As someone who likes a convenient environment, I always like to improve the way I work and automate routine dull processes. In this first post of mine, I’ll describe how I make my environment more convenient to work with.
The setup with which I work with contains the following components:
- My personal computer (linux distro)
- A gateway machine
- Remote servers
As I usually work on computational greedy projects, the usage of my laptop is out of the question. Therefore I need a constant connection to those machines. For security reasons, the remote servers are not directly accessible, meaning they can only be reached by the gateway machine.
The basic way of connecting to the servers is to first connect with ssh to the gateway and then ssh again to the server which requires entering the user and password at every connection. This is rather cumbersome and gets annoying after the first time. We will go through the steps on how to easily connect to both servers with a single command.
Making SSH Great Again
A few words on SSH
SSH (Secure Shell), is a secure protocol, which allows the users to control the server they connect to. The common way of connecting to a remote server using ssh is by the following command: ssh user@host
, which will then result in a password prompt. In this post I won’t get into the details on how ssh works, but only assume the basic usage knowledge.
Connect w/o the need of a password
We are going to create an authentication key and transfer the public one to the server we wish to connect to. Let’s begin by setting up the first connection - from the laptop to the gateaway.
We will use a nice little software named ssh-copy. It does all the work for us and all we need to do is to type the following line in a terminal:
ssh-keygen -t rsa # create an SSH key, if needed.
ssh-copy-id -i ~/.ssh/id_rsa.pub user@host
- Linux users should already have this software installed.
- Mac users will need to install the ssh-copy tool by:
brew install ssh-copy-id
The ssh-copy-id command will copy your SSH key to the server, create the appropriate ssh folder, if needed and finally append the public key as an authorized key in the server .ssh/authorized_keys file.
If for some reason this doesn’t work, just copy-paste the following commands, which is basically what ssh-copy does:
Open a terminal and run the following steps:
- Generate a pair of authentication keys. You will be asked to enter a passphrase, which is optional.
ssh-keygen -t rsa
- create a
.ssh
folder on the remote machine (if it doesn’t exist already)
ssh user@host mkdir -p .ssh
- Append the public key you generated earlier to the remote machine (this is the last time you enter your password, hopefully).
cat .ssh/id_rsa.pub | ssh user@host 'cat >> .ssh/authorized_keys'
That’s it! from now on you can reach the server easily without the need of a password
ssh user@host
For reaching the servers machines from the gateway follow the same steps (if it wasn’t already configured).
Convenient SSHing
Now that we got a bit more sophisticated, turns out we can do better. Instead of ssh’ing the whole hostname + username every time, we can make it more convenient - both for the gateway, and the proxied machines.
In the ~/.ssh/config
file on the local computer, insert the following:
Host gate
HostName [gateway.name]
User [user]
Host work1
HostName [machine.name]
user [user]
ProxyCommand ssh gate nc %h %p
There’s another useful configuration argument called ‘IdentityFile’ that is useful when working with multiple public/private keypairs. Let’s say you have a github account for work, besides the private one, which you use for your personal projects. You’ll need another public-private key pair for it, but you still want a convenient interface with it. Here is an example for how to set it up in the config file:
Host company-github
User git
HostName company.github.com
IdentityFile ~/.ssh/github.comp.key
Each ssh connection will use the appropriate key for the required connection.
We can add all the remote servers in a similar manner, for allowing an easy connection for each server.
Now, a simple command of ssh gate
or ssh work1
will bring us directly to the gateway or work1 servers respectively, with no need for any password or another connection.
Tunneling
Now that we have a convenient access to the remote servers, we can use tunneling for achieving a seamless access to the servers’ resources in our computer. This way, we can for example run a Jupyter notebook on a remote machine (with lots of memory) and interact with it on our browser. It allows us:
- To turn off the computer and keep the notebook running on the server.
- To open and access the same notebook even from another computer.
- To keep models loaded on the remote server. Meaning we load once and access forever (or until the admins will perform a restart)
For example if we want to open a notebook on the server work1
on port 9100
, we will open a tunnel to our computer on port 9200
with the following command:
ssh -N -f -L localhost:9200:localhost:9100 work1
Tunneling with Fun
Now that you know how to set up a tunnel, you would start doing it all the time (at least I do). To give you a real-life example, I am using tunneling mainly for Jupyter notebooks and for Tensorboard. The Tensorboard server doesn’t consume many resources, but the notebooks sometimes do. As I use different machines for different projects (to balance loadings), and therefore different tunnels , I couldn’t recall what port is used for what application, not to mention on which server.
As eventually, we forward to our own machine, the only controled variables are the port numbers, and well, numbers are forgotten quickly. I recently found a partial solution for that. Instead of opening the applications on localhost:xxxx I generated new domain names, which are just forwarding to the localhost host. This doesn’t solve the ports problem, but now as each application gets its own name, there’s no confusion, and after a usage or two, modern browsers will remember the port, so all you have to remember is the meaningful name you came up with.
For doing the domain forwarding, do the following:
- Open the
/etc/hosts
file with sudo:
sudo [vim|nano|...] /etc/hosts
- You should have the following line somewhere (probably just at the top):
<IP_ADDRESS> localhost
- duplicate that line, and switch the
localhost
name with whatever meaningful name you have for your application (for example,tensorboard
).
Now you can find your tensorboard application at tensorboard:8100
.
I still don’t have a solution to the porting problem, suggestions are welcome.
More Convenient Tips
Keep SSH Open
If you have worked with tunnels for a while, you might have noticed that they tend to not work after several minutes of idle usage. This might be annoying if you are working in parallel on several stuff. This reconnecting issue can be solved quite easily by adding a simple line into an ssh configuration file. This way, every x
seconds, a ‘sign-of-life’ signal will be sent to the server. On your local machine, edit the /etc/ssh/ssh_config
file (with sudo) and enter the following line after the Host *
line:
ServerAliveInterval 120
This will apply to all ssh connections. If this might be an issue for you, it’s possible to define it only for specific ssh connections by adding the same line to the ~/.ssh/config
config file. It will look something like that:
Host gate
HostName gateway.name
User user
IdentityFile ~/.ssh/gateway
ServerAliveInterval 120
Automatic SSHing
Now that the tunnels won’t shut down while you’re still working, things look sweet. But then you go to sleep (sometimes we need to), so you suspend/hibernate your computer (we never really turn it off, do we). Next day, you want to go back and work on your notebook, which you work on locally with the open tunnel, but… the connection has closed and you need to reopen it. After a while, you get tired of this either, luckily there’s a solution!
This wonderful program will keep your ssh connection open until you close your computer. But until then, your ssh is safe. So for example, you can put your computer to sleep, disconnect the Wifi etc and once you get back online, this program will do the ssh connection for you.
Install by running:
sudo apt-get install autossh
now run the following command:
autossh -M 20000 -N -f -L localhost:9201:localhost:9100 work1
which is very similar to the command we saw before, except the command name (duh) and the -M 20000
flag which is the port where this monitor lives.
IntelliJ Integration
In the Pycharm Professional edition, there’s a great feature of connecting to a remote server and work directly on it. You can either write code on your own computer and just run it on the remote server or to fully sync your whole repository on the remote server.
The interlliJ interface changes from time to time, but the idea is the same. I’ll present the steps for a specific version - V. 2018.1.4.
- Under Pycharm Settings
- Build, Execution, Deployment -> Deployment
- Click on the green + for creating a new Deployment settings
- Enter the relevant information (Name, host, port:22 usually, Root path and username)
Now with a right click on the project folder, under the Deployment key, you will be able to upload, download or sync your project with the remote location (you can also define a shortcut key for that).
For using a remote interpreter:
- Go to the project settings
- Under the project interpreters bookmark, near the Project Interpreter option, there should be a small wheel button, for options. Click on it and then click on ‘Add’.
- On the left menu, click on SSH Interpreter
- Click on the “Existing server configuration” option and use the deployment configuration we created earlier.
- Choose the remote interpreter (e.g anaconda/python)
- and… you’re done!
Acknowledgments
I would like to thank Fred Blain, Hila Gonen, Amit Moryossef, Asaf Amrami and Vered Shwartz for their helpful comments.


|
Panda3D
|
The result of a NurbsSurfaceEvaluator. More...
Public Member Functions | |
| __init__ (const NurbsSurfaceResult) | |
| float | evalExtendedPoint (float u, float v, int d) |
| Evaluates the surface in n-dimensional space according to the extended vertices associated with the surface in the indicated dimension. More... | |
| bool | evalExtendedPoints (float u, float v, int d, PNStdfloat[] result, int num_values) |
| Simultaneously performs eval_extended_point on a contiguous sequence of dimensions. More... | |
| bool | evalNormal (float u, float v, LVecBase3 normal) |
| Computes the normal to the surface at the indicated point in parametric time. More... | |
| bool | evalPoint (float u, float v, LVecBase3 point) |
| Computes the point on the surface corresponding to the indicated value in parametric time. More... | |
| float | evalSegmentExtendedPoint (int ui, int vi, float u, float v, int d) |
| Evaluates the surface in n-dimensional space according to the extended vertices associated with the surface in the indicated dimension. More... | |
| evalSegmentExtendedPoints (int ui, int vi, float u, float v, int d, PNStdfloat[] result, int num_values) | |
| Simultaneously performs eval_extended_point on a contiguous sequence of dimensions. More... | |
| evalSegmentNormal (int ui, int vi, float u, float v, LVecBase3 normal) | |
| As eval_segment_point, but computes the normal to the surface at the indicated point. More... | |
| evalSegmentPoint (int ui, int vi, float u, float v, LVecBase3 point) | |
| Evaluates the point on the surface corresponding to the indicated value in parametric time within the indicated surface segment. More... | |
| float | getEndU () |
| Returns the last legal value of u on the surface. More... | |
| float | getEndV () |
| Returns the last legal value of v on the surface. More... | |
| int | getNumUSegments () |
| Returns the number of piecewise continuous segments within the surface in the U direction. More... | |
| int | getNumVSegments () |
| Returns the number of piecewise continuous segments within the surface in the V direction. More... | |
| float | getSegmentU (int ui, float u) |
| Accepts a u value in the range [0, 1], and assumed to be relative to the indicated segment (as in eval_segment_point()), and returns the corresponding u value in the entire surface (as in eval_point()). More... | |
| float | getSegmentV (int vi, float v) |
| Accepts a v value in the range [0, 1], and assumed to be relative to the indicated segment (as in eval_segment_point()), and returns the corresponding v value in the entire surface (as in eval_point()). More... | |
| float | getStartU () |
| Returns the first legal value of u on the surface. More... | |
| float | getStartV () |
| Returns the first legal value of v on the surface. More... | |
| Public Member Functions inherited from ReferenceCount | |
| int | getRefCount () |
| Returns the current reference count. More... | |
| ref () | |
| Explicitly increments the reference count. More... | |
| bool | testRefCountIntegrity () |
| Does some easy checks to make sure that the reference count isn't completely bogus. More... | |
| bool | testRefCountNonzero () |
| Does some easy checks to make sure that the reference count isn't zero, or completely bogus. More... | |
| bool | unref () |
| Explicitly decrements the reference count. More... | |
Additional Inherited Members | |
| Static Public Member Functions inherited from ReferenceCount | |
| static TypeHandle | getClassType () |
| Public Attributes inherited from ReferenceCount | |
| int | ref_count |
| The current reference count. More... | |
The result of a NurbsSurfaceEvaluator.
This object represents a surface in a particular coordinate space. It can return the point and/or normal to the surface at any point.
| __init__ | ( | const | NurbsSurfaceResult | ) |
| float evalExtendedPoint | ( | float | u, |
| float | v, | ||
| int | d | ||
| ) |
Evaluates the surface in n-dimensional space according to the extended vertices associated with the surface in the indicated dimension.
| bool evalExtendedPoints | ( | float | u, |
| float | v, | ||
| int | d, | ||
| PNStdfloat[] | result, | ||
| int | num_values | ||
| ) |
Simultaneously performs eval_extended_point on a contiguous sequence of dimensions.
The dimensions evaluated are d through (d + num_values - 1); the results are filled into the num_values elements in the indicated result array.
| bool evalNormal | ( | float | u, |
| float | v, | ||
| LVecBase3 | normal | ||
| ) |
Computes the normal to the surface at the indicated point in parametric time.
This normal vector will not necessarily be normalized, and could be zero. See also eval_point().
| bool evalPoint | ( | float | u, |
| float | v, | ||
| LVecBase3 | point | ||
| ) |
Computes the point on the surface corresponding to the indicated value in parametric time.
Returns true if the u, v values are valid, false otherwise.
| float evalSegmentExtendedPoint | ( | int | ui, |
| int | vi, | ||
| float | u, | ||
| float | v, | ||
| int | d | ||
| ) |
Evaluates the surface in n-dimensional space according to the extended vertices associated with the surface in the indicated dimension.
| evalSegmentExtendedPoints | ( | int | ui, |
| int | vi, | ||
| float | u, | ||
| float | v, | ||
| int | d, | ||
| PNStdfloat[] | result, | ||
| int | num_values | ||
| ) |
Simultaneously performs eval_extended_point on a contiguous sequence of dimensions.
The dimensions evaluated are d through (d + num_values - 1); the results are filled into the num_values elements in the indicated result array.
| evalSegmentNormal | ( | int | ui, |
| int | vi, | ||
| float | u, | ||
| float | v, | ||
| LVecBase3 | normal | ||
| ) |
As eval_segment_point, but computes the normal to the surface at the indicated point.
The normal vector will not necessarily be normalized, and could be zero.
| evalSegmentPoint | ( | int | ui, |
| int | vi, | ||
| float | u, | ||
| float | v, | ||
| LVecBase3 | point | ||
| ) |
Evaluates the point on the surface corresponding to the indicated value in parametric time within the indicated surface segment.
u and v should be in the range [0, 1].
The surface is internally represented as a number of connected (or possibly unconnected) piecewise continuous segments. The exact number of segments for a particular surface depends on the knot vector, and is returned by get_num_segments(). Normally, eval_point() is used to evaluate a point along the continuous surface, but when you care more about local continuity, you can use eval_segment_point() to evaluate the points along each segment.
| float getEndU | ( | ) |
Returns the last legal value of u on the surface.
| float getEndV | ( | ) |
Returns the last legal value of v on the surface.
| int getNumUSegments | ( | ) |
Returns the number of piecewise continuous segments within the surface in the U direction.
This number is usually not important unless you plan to call eval_segment_point().
| int getNumVSegments | ( | ) |
Returns the number of piecewise continuous segments within the surface in the V direction.
This number is usually not important unless you plan to call eval_segment_point().
| float getSegmentU | ( | int | ui, |
| float | u | ||
| ) |
Accepts a u value in the range [0, 1], and assumed to be relative to the indicated segment (as in eval_segment_point()), and returns the corresponding u value in the entire surface (as in eval_point()).
| float getSegmentV | ( | int | vi, |
| float | v | ||
| ) |
Accepts a v value in the range [0, 1], and assumed to be relative to the indicated segment (as in eval_segment_point()), and returns the corresponding v value in the entire surface (as in eval_point()).
| float getStartU | ( | ) |
Returns the first legal value of u on the surface.
Usually this is 0.0.
| float getStartV | ( | ) |
Returns the first legal value of v on the surface.
Usually this is 0.0.


Colors
Styles
Sizes
Gray
Gold
Red
Pink
White
Navy
Maroon
Black
Royal Blue
Lime Green
T-Shirt
Moisture Wicking Tech Shirt
Ladies V-Neck - Adult sizes only
Adult Extra Small
Adult Small
Adult Medium
Adult Large
Adult Extra Large
Adult 2X


Consultation outcome
Ref: DFE-00279-2016 PDF , 708KB , 40 pages
Summary of the responses we received, along with the government’s response outlining the next steps.
See also:
This consultation ran from
to
We seek views on changes to how we fund free childcare and early education for 3- and 4-year-olds, including a new national funding formula.
This consultation was held on another website .
We’re consulting on proposals to change the way we fund free childcare and early years education. The proposals include:
Early years providers offer free early education and childcare for children aged under 5, including nurseries and childminders.
Published: 11 August 2016
Updated: 12 December 2016
From: Department for Education
Part of: Childcare and early education


Mercedes' Andrew Shovlin says the team "has done Niki proud"
by Adam NewtonMercedes' Trackside Engineering Director Andrew Shovlin says that he hopes the team has done former non-executive chairman Niki Lauda proud after winning a record six drivers' and constructors' titles in succession.
Lauda passed away earlier this year with kidney problems after a spell of poor health, with an outpouring of emotion from the F1 world immediately after the news was announced.
All at Mercedes say they miss the great Austrian, and Shovlin said after the United States Grand Prix: “Today, we all think of Niki who was such an important part of our team. Losing him was quite a massive blow, particularly to Toto [Wolff] who spent so much of his working life with him, but for all of us as well, because Niki was someone with such a big personality, such a huge figure in our sport and such a friend to the team.
“I think he would have appreciated this – doing it in such fine style this year, he would have seen this as a team at the top of its game. He’d probably be telling us to work on next years car now, but I think we’ve done him proud this season.”


This page works by displaying the findDevice button as "Send Waypoint" and setting autoWriteData to true. By having unlockOnPageLoad set to false, the plugin is not loaded until the user takes action avoiding the security dialog.


HamsterWheel.js is an infinite scroll JQuery plugin that will let you convert sections of your site into an unending loop. Think of it like a treadmill (or hamsterwheel) made with Javascript. All you need is a section or two, and jQuery.
The content keeps coming with an unending loop!
Installation of hamster wheel should be fairly simple. Download the Production or the Dev version of the javascript, or click on the download button in the blue part of the page.
<body id="mySite"> // need to have one root node inside of the body or in an iframe <container> // Site Content </container> <script type="text/javascript"> $('#mySite').hamsterwheel(); </script> </body>
hamsterWheel.defaults = { autoscroll: true, //boolean infinite: true, //boolean scrollSpeed: 40, //number scrollDelta: 15, //number clones: 6, //number scrollbar: false //boolean };
autoScroll: Boolean
If true, the page will scroll on its own based on the scroll speed.
infinite: Boolean
This is the main purpose of the plugin, but if you decide you only want to loop through a section like, 5 times and have it spit you out into a footer, more power to you. Maybe jQuery .clone() would be better than this whole plugin but hey, im not judging you.
scrollSpeed: Number
This is for the autoscroll. Technically this is the number of milliseconds the page will wait before scrolling down one pixel, so you probably want to keep it somewhere between 10 and 50, but play around with it and see what works.
scrollDelta: Number
When you have autoscroll turned on, how fast does someone need to scroll to change the direction of the autoscroll? Defaults to 30.
clones: Number
How many times the content is cloned. 6 is a pretty good number, but if the page is huge and heavy you might want to lower this number, but id suggest 2 or 3 at the minimum.
scrollbar: Boolean
This will show or hide the scrollbar (in webkit based browsers). I like it off personally, it helps keep up the illusion.


Example 1
- Ignore the phrase that does NOT contain important information that helps you (as a SYSTEM) to provide a good response to the user.
- In the example below, "college" is not directly related to the user’s question.
- Select the longest phrase "Anne Frank House", instead of "Anne Frank" or "House".
Step 1: Read this dialogue.
| USER: | I would like to travel to Western Europe. Do you have any recommendations for places to visit? |
| SYSTEM: | Have you ever been to Amsterdam? |
| USER: | I have wanted to travel there since I was in college. What are the attractions of Amsterdam? I heard that the Anne Frank House is very attractive. |
| USER: I have wanted to travel there since I was in college. What are the attractions of Amsterdam? I heard that the Anne Frank House is very attractive. |
college (College - Wikipedia)
Amsterdam (Amsterdam - Wikipedia)
Anne Frank (Anne Frank - Wikipedia)
House (House - Wikipedia)
Anne Frank House (Anne Frank House - Wikipedia)
None of the above
Example 2
- See the example below. In this case phrase "Thank you" should NOT be chosen.
- This is because the Wikipedia article Thank You (Led Zeppelin song) - Wikipedia does not help you (as a SYSTEM) to provide a good response to the user.
Step 1: Read this dialogue.
| USER: | I am looking for a restaurant in the west side of town |
| SYSTEM: | I found saint johns chop house. The address is 21-24 Northampton Street and the phone number is<PHONE_NUMBER>0. Is there anything else I can do for you? |
| USER: | No, you have been a great help. Thank you. |
| USER: No, you have been a great help. Thank you. |
Thank you (Thank You (Led Zeppelin song) - Wikipedia)
None of the above
Dialogue
Step 1: Read this dialogue.
| USER: | I've caught the movie star bug! I was just an extra in a movie! |
| SYSTEM: | That's great! I bet you'll have a lot of people referring to you as a background artist or cast member. Apparently on a TV set the term extra isn't used that often. |
| ... | ... |
| USER: | Yeah, I think my next step is to be a "seat filler" at the Academy Awards. |
| SYSTEM: | Oh, you mean a person who fills in an empty seat during an event? I bet that's how Trump gets people to go to his speeches! |
| USER: | Yes that's exactly what I mean! I just need a NON Harvey Weinstein type person to discover me to be famous! |
| SYSTEM: | Well, depending on the production the criteria for casting background actors is going to be different. I'm sure you'll find your niche role eventually! |
| USER: | My parents say I shouldn't go to Hollywood. They want me to keep my day job as a Wal-Mart greeter, but I'm packing my car. California here I come! |
| USER: My parents say I shouldn't go to Hollywood. They want me to keep my day job as a Wal-Mart greeter, but I'm packing my car. California here I come! |


dolt commit
Commit staged changes to tables.


The Subglottal Resonances Database, Linguistic Data Consortium (LDC) Catalog Number LDC2015S03 and ISBN 1-58563-711-4, was developed by Washington University and University of California Los Angeles and consists of 45 hours of simultaneous microphone and subglottal accelerometer recordings of 25 adult male and 25 adult female speakers of American English between 22 and 25 years of age.
The subglottal system is composed of the airways of the tracheobronchial tree and the surrounding tissues. It powers airflow through the larynx and vocal tract, allowing for the generation of most of the sound sources used in languages around the world. The subglottal resonances (SGRs) are the natural frequencies of the subglottal system. During speech, the subglottal system is acoustically coupled to the vocal tract via the larynx. SGRs can be measured from recordings of the vibration of the skin of the neck during phonation by an accelerometer, much like speech formants are measured through microphone recordings.
SGRs have received attention in studies of speech production, perception and technology. They affect voice production, divide vowels and consonants into discrete categories, affect vowel perception and can be useful in automatic speech recognition.
Speakers were recruited by Washington University's Psychology Department. The majority of the participants were Washington University students who represented a wide range of American English dialects, although most were speakers of the mid-American English dialect.
The corpus consists of 35 monosyllables in a phonetically neutral carrier phrase (“I said a ____ again”), with 10 repetitions of each word by each speaker, resulting in 17,500 individual microphone (and accelerometer) waveforms. The monosyllables were comprised of 14 hVd words and 21 CVb words where C was b,d, g and V included all AE monophthongs and diphthongs.
The target vowel in each utterance was hand-labeled to indicate the start, stop, and steady-state parts of the vowel. For diphthongs, the steady-state refers to the diphthong nucleus which occurs early in the vowel.
The height and age of each speaker is included in the corpus metadata.
Audio files are presented as single channel 16-bit flac compressed wav files with sample rates of 48kHz or 16kHz. Image files are bitmap image files and plain text is UTF-8.
Please see file.tbl for a complete file list as well as checksums for this publication.
This work was supported in part by National Science Foundation Grant No. 0905250.
Additional information, updates, bug fixes may be available in the LDC catalog entry for this corpus at LDC2015S03.
Portions © 2015 Abeer Alwan, Trustees of the University of Pennsylvania


Brotherhood | Leadership | Academics | Asian Awareness | Philanthropy
Pi Alpha Phi at San Jose State University is currently redesigning their website. For now you can see our Fall 2017 schedule of rush events below.
| Date | Event Name | Description |
|---|---|---|
| Monday, August 28th | BBQ Night | Get to know the brothers at our house BBQ |
| Tuesday, August 29th | Games Night with ΣΟΠ | Enjoy a night of games with us and the beautiful sisters of Sigma Omicron Pi. |
| Thursday, August 31st | Social with aKΔϕ | Join the brothers at our social with the lovely ladies of alpha Kappa Delta Phi. |
| Monday, September 4th | Water Pong Tournament | Show your competitive spirit through friendly games of water pong with our Brothers. |
| Wednesday, September 6th | Info Night | We welcome you to come learn what our brotherhood is all about in our fraternity. This event is mandatory for those interested in joining. |
| Thursday, September 7th | USFC Info Night | Learn about the United Sorority and Fraternity Council and the greek community at SJSU. |
*All events start at 7PM and are free to attend. Rides will be provided. Please meet at the fountain 20 minutes prior to each event.
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Well, crypto peops, it’s fairly obvious that capitulation is upon us. What’s that? You thought it was already here and went long on BitMEX with 100x leverage? On that kind of trade 15% of your position just goes to cover the fees!
Whoops… and… it’s gone.
That’s what they say these days at least. The once powerful meme mines of Crypto Land have been recently reduced to repeating South Park over and over again. These are desperate times, but we haven’t hit despair yet. (More on that later.)
The only question to ask now is, “How low can you go, bitcoin?” The question is hella appropriate given the growing likelihood that King Bitty is definitely drunk on vacation on some tropical island playing a game of Limbo.
Ethereum has gone off to Antarctica, a place no one, not even good old VB, ever thought it would ever go again. Double digits. The poor kid’s fortune has gone from something like a half billion to somewhere around $50 million. If he cared the least bit about money, he’d probably be devastated.
But the best minds in crypto - VB, Charles Hoskinson, Matt Spoke - DGAF about money. They kinda guessed the nature of the people that had come into the space in 2017 and 2018, as evidenced by this quote from VB, “I’m skeptical that people involved in cryptocurrency are better people than people involved in the banking system.”
That’s a nicely sobering thought for a 24-year-old.
And while pretty much every other altcoin is down a dizzying amount, most more so than the Big Daddy BTC, we and the entire blockchain industry really need to keep in mind another VB quote from that same Forbes interview, “If crypto succeeds, it’s not because it empowers better people. It’s because it empowers better institutions.”
 Especially when there are no accepted valuation models to properly value cryptocurrencies.  Thus, it can go quite a ways down.
Note in the following life cycle of investment, though, that capitulation is not the last stage in the investor sentiment cycle. Yes, it is the stage which can encompass the longest and most significant price decline in percentage terms, but it is only after a very healthy dose of capitulation that we get to despair, where we can then, and only then, finally start to hope and dream about a “return to the mean.” Never mind the dizzying heights of the “New Paradigm”!!!
I think we still have a little ways to go still before full despair, but god knows we’re a whole lot closer to it than when the bell rang on the stock market on Black Friday. These 24/7/365 markets really do a number on investor psychology. That’s why it’s probably best to prepare yourself going forward like a Zen Master would.
So I’ll leave you with this little great resource from OptionAlpha in the hopes that we all, myself included, can do better next time. And to remember what our emotions feel like, really viscerally feel them and capture them, when it’s time to buy… and when it’s time to sell.
In the meantime, everybody… Limbo!
PEACE ✌🏼
This page is synchronized from the post: On Capitulation and Bitcoin’s Bloody Black Friday Weekend


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asos
Businessmodel of ASOS
Customer Segments
ASOS has a multi-sided business model, with two interdependent customer segments that are both needed in order to operate:
- Consumers – Individuals who want to buy the latest fashions online.
- Fashion Companies – Vendors that produce fashions and need buyers. There is also a niche market component of the business model as the company targets its offerings at people in their twenties.
Value Proposition
ASOS offers six primary value propositions: accessibility, customization, price, cost reduction, convenience, and brand/status.
The company creates accessibility by offering unique fashion options. Its website features a section called ASOS Marketplace, which includes 50,000 vintage/boutique fashion items from more than 900 boutiques in 40 countries. This enables shoppers to buy from brands that might not have physical stores in their neighborhood or their own websites. ASOS also offers clothing for various body sizes, with lines such as Little Mistress Plus Size, New Look Petite & Tall, and Glamorous Petite & Tall.
The company offers customization by creating websites tailored to different countries, specifically for Australia, Germany, France, Italy, Russia, Spain, China, and the United States. In addition, it personalizes planning and buying strategies for the merchandise on each site by country. For example, it might launch a Spring/Summer collection for Australia‘s site before it does so in others.
The company offers a price value proposition. It uses zonal pricing technology to ensure that brand costs are in line with rates at local markets; this helps it provide more competitive local pricing.
The company reduces costs by offering free delivery for any orders totaling more than £20. It also offers free returns in the UK, Germany, France, and the U.S. Further, it operates ASOS Rewards, a loyalty program that allows customers to accrue points with each purchase towards discounts.
The company creates convenience by offering next-day delivery options in France, Spain, Germany, Italy, Sweden, Denmark, the Netherlands, Ireland, and Belgium. It also provides express delivery services in over 20 smaller territories and mid-tier services in Singapore, Korea, and Hong Kong. Moreover, it provides live delivery updates so customers can receive real-time information on details such as driver’s name and expected delivery time. Lastly, its app offers product recommendations.
The company has established a powerful brand as a result of its success. Its website features over 80,000 different products, with over 3,000 new lines added each week. The lines span menswear and womenswear, accessories and footwear, and beauty and jewelry. These lines fall into 800 local and global brands, which include both third-party and private-label offerings. The website ships to more than 240 countries and territories and had more than 10.7 million active customers in 2015, up 18% over 2014. Famous fans include Taylor Swift, Zac Efron, Rihanna, Katy Perry, and One Direction. Lastly, ASOS has won many honors, including a Cosmopolitan Fashion Award for “Best Online Offering”, a Drapers Digital Award for “Best Use of Mobile”, and Reveal Online Fashion Awards for “Best One-Stop Shop”, “Best for Special Occasions”, and “Online Retailer of the Year” (2015).
Channels
ASOS’s main channel is its website, through which it acquires most customers; customers can also make purchases through its mobile app. The company promotes its offering through its social media pages and app, and through sponsorships such as of the McLaren Formula One Team.
Customer Relationships
ASOS’s customer relationship is primarily of a self-service nature. Customers utilize the website or mobile app while having limited interaction with employees. The site features video guides on topics such as how to shop on the site. In addition, the company publishes ASOS magazine, a monthly publication it sends to 475,000 select customers in hard copy, as well as to 50,000 customers in digital format. The magazine includes fashion news, celebrity interviews, and other features. Despite this orientation, there is also a personal assistance component in the form of e-mail, social media, and 24/7 phone support.
Key Activities
ASOS’s business model entails maintaining a common platform between two parties: consumers and fashion companies. It also involves designing and developing its private label offerings. It outsources manufacturing to third-party contractors.
Key Partners
ASOS maintains an affiliate programs in certain locations such as the U.S. Third parties that promote the company on their platforms (websites, mobile apps, etc.) receive a 5% commission in the event of a confirmed sale through a resulting lead. These partners also receive a newsletter providing updates on upcoming promotional activity, as well as technical support.
Key Resources
ASOS’s main resources are its collection of facilities, which include fulfillment warehouses in the U.S., Europe, and China and returns centers in Swiebodzin and Australia. The company also depends on its staff of over 650 Customer Care Center employees to provide shopper support.
Cost Structure
ASOS has a cost-driven structure, aiming to minimize expenses through significant automation and low-price value propositions. Its biggest cost driver is distribution costs, a fixed expense. Other major drivers are in the areas of warehousing and marketing, also fixed costs.
Revenue Streams
ASOS has four revenue streams:
Product Revenues – The company generates revenues from sales of its private label products
Usage Fee – The company generates revenues from a £20 monthly rental fee charged to vendors on its website
Transaction Revenues – The company generates revenues from the 20% commission fee it charges vendors for each confirmed sale
Advertising Revenues – The company generates revenues from fees charged to third parties for advertising on its website and in ASOS magazine


Loops Homework
Lexicographically Smallest properties
Click to see lexicographically smallest and largest property in document, window and navigator objects.
Result


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WITNESS LIST Tax Reform & Public School Finance, Select Committee February 19, 1997-10:00A Tax Reform & School Finance On: Anderson, David (TEA), Austin Boone, Michael M. (Self), Dallas Caperton, Kent (School Finance Coalit.), Austin Hollingsworth, Lonnie (Tx Classroom Tchr Assn), Austin Yartz, Rick (Lyondell), Houston Registering, but not testifying: On: Grusendorf, Bill (Tx Assn of Rural Schls), San Saba PIerce, Wayne (Tx Assn Mid-Size Schls), Kaufman Written materials submitted: On: Casey, Dan (TASB), Austin Collins, Steve R. (Tx Legislative Council), Austin Cortez, Albert (Self), San Antonio Foster, Craig (Equity Center), Austin Haas, Debra S. (LBB), Austin Koeltzow, Paul (Children), Dallas Moak, Lynn (Self), Austin Thompson III, David J. (Self), Houston Wisnoski, Joe (TEA), Austin


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Freddie Sze
is a web developer who ironically is too busy to update his own website at the moment. If you’d like to, you can see his
old website
.


Miscellaneous Swing Components
Messages
The
Messages
class provides a way to show simple message boxes, input dialogs (modal dialogs with a text field) and chooser dialogs (modal dialogs with a combo box).
The function of different methods of the class should be clear from their names.
When running on macOS, the message boxes shown by the
Messages
class use native UI.
The showCheckboxMessageDialog()
function provides an easy way to implement a Do not show this again
checkbox on messages.
Note that it is recommended to use non-modal notifications instead of modal message boxes whenever it’s appropriate. Please refer to the Notifications topic for more information.
JBSplitter
The
JBSplitter
class is JetBrains’ replacement for the standard
JSplitPane
class.
Unlike some other JetBrains-enhanced Swing components, it’s not a drop-in replacement and has a different API.
However, to achieve a consistent user experience, it’s recommended to use
JBSplitter
instead of the standard
JSplitPane
in your plugins.
To add your components to the splitter, call the setFirstComponent()
and setSecondComponent()
methods.
JBSplitter
supports automatic remembering of the split proportion.
In order to enable it, call the setSplitterProportionKey()
method and pass the ID under which the proportion will be stored.
JBTabs
The
JBTabs
class is JetBrains’ implementation of the tab control, used for editor tabs and a few other components.
It has a significantly different look & feel compared to the standard Swing tabs, and looks less native on the macOS platform, so it’s up to you to choose which tab control would be more appropriate for your plugin.


Given the spec path for an Address, parses and returns its AddressFamily.
// TODO: break up AddressMapper rather than using private APIs
family = address_mapper._maybe_family(directory.path)
if not family:
raise ResolveError("No addresses registered in {}".format(directory))
return family
class UnhydratedStruct(datatype("UnhydratedStruct", ["address", "struct", "dependencies"])):
A product type that holds a Struct which has not yet been hydrated.
def parse_address_family(address_mapper, directory):
Given a Directory, parses and returns its AddressFamily (which may be empty, but not None).
return address_mapper.family(directory.path)
class UnhydratedStruct(datatype("UnhydratedStruct", ["address", "struct", "dependencies"])):
A product type that holds a Struct which has not yet been hydrated.


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