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Introduction to digital scholarly editions
Magdalena Turska | @magdaturska
University of Oxford | DiXiT ITN
and
Katarzyna Jasińska-Zdun | @sopranissime
University of Warsaw | Faculty of "Artes Liberales"
Press SPACE to navigate
through slides.
At the heart of the edition: the text
“What is text? I am not so naïve as to imagine that question could ever be
finally settled. Asking such a question is like asking ‘How long is the coast of
England?’.”(J. McGann)
“Text is what you look at. And how you look at it.” (P. Sahle)
A lot of this talk is based on the work of Patrick Sahle, Elena Pierazzo,
Georg Vogeler, Franz Fisher, the IDE, DiXiT, and RIDE amongst others.
Text is not the only interest in an edition
- ‘verbal codes’: text,
marginalia, reading notes
- ‘non-verbal codes’: pencil
marks, dog ears, changes in medium, writing, etc.
Ioannes Dantiscus Correspondence
Walt Whitman, page
of Leaves of Grass, 1855
Honoré de Balzac,
Eugénie Grandet, Autograph manuscript and corrected galley proofs signed, 1833
Maria Skłodowska-Curie, notebook
“In getting my books,” Edgar Allan Poe wrote in 1844, “I have always been solicitous of
an ample margin; this is not so much through any love of the thing in itself, however
agreeable, as for the facility it affords me of penciling in suggested thoughts,
agreements, and differences of opinion, or brief critical comments in general.”
The inside
cover from David Foster Wallace’s teaching copy of Thomas Harris’s The Silence of the
Lambs.
Different types of editions
Type facsimile edition
Genetic edition
Diplomatic edition
Semi-diplomatic edition
Critical edition
Scholarly Editions
Edition ist die erschließende Wiedergabe historischer Dokumente
A scholarly edition is the critical representation of historical
documents
P. Sahle
critical representation of historical documents
"historical documents": editing is concerned with documents that already exist. To
publish a new document (which doesn't refer to something preexisting) is not scholarly
editing.
"representation": covers (abstract) representation as well as presentation
(reproduction). Publishing descriptive data (e.g. metadata) without reproduction is not
critical editing. A catalogue, a database, a calendar is not an edition.
"critical / scholarly": reproduction of documents without critical examination is not
scholarly editing. A facsimile is not a scholarly edition.
SE is about a research question
Research objective determines what is deemed necessary to
annotate
- apparatus criticus
- commentary
- genetic editing
- transcription
- normalisation
- metadata (always there, but not always the same)
- linguistic features
- list goes on forever...
Editorial operations and decisions
Scope: the text or the document?
Reading the text: how to handle holes, gaps, damages, unreadable passages, word
spacing, and abbreviations?
History of the manuscript/layer and stratification: are there annotations from
different hands? What to do with them?
Codicological issues: how was the original manuscript assembled? Is it still assembled
in that way? Is it complete? Has it been bound with other material?
Spectrum of editorial intervention
- Abbreviations
- Word spacing
- Line breaks
- Additions/deletions
- Spellings
- Errors
- Etc.
But what is a Digital Scholarly Edition
digital != digitized
A digital edition can not be printed without a loss of information and/or
functionality. The digital edition is guided by a different paradigm. If the paradigm of
an edition is limited to the two-dimensional space of the "page" and to typographic
means of information representation, then it's not a digital edition.
Digital scholarly editions are not just scholarly editions in digital
media.
The 'digital' enhancements
- scope: volume makes the print version impractical or impossible
- linked data: extensive use of
pointers to linked material on-site or elsewhere
- searches: full-text search
with pattern matching, context aware search
- visualisations: timelines,
maps, graphs, word-clouds, topic-extraction...
- linguistic analysis
- facsimiles: hi-quality
images, zooming, zone-level annotation
- social aspects: comments
allowing for scholarly discussion in context of published material
open methodological questions
- Guidelines for reviewing
SDE's are based on our traditions of print editions and the 'digital incunabula' we've
seen so far. As such, any guidelines are a moving and developing
target. Many questions are still
under discussion.
- Best practices in digital
editing have been established for many editorial tasks.
- Reviewing SDEs will help to
disseminate and canonize approved methods and approaches.
- Evaluation of SDEs should be seen as yet another contribution to
ongoing methodological discussions
SDE best practice
But, that said, there are certainly general principles that have been
around for some time.
8 Principles by Michael Sperberg-McQueen (1994) [1-2]
Electronic
scholarly editions are worth having. And therefore it is worth thinking about the form
they should take.
Electronic
scholarly editions should be accessible to the broadest audience possible. They should
not require a particular type of computer, or a particular piece of software:
unnecessary technical barriers to their use should be avoided.
8 Principles by Michael Sperberg-McQueen (1994) [3-4]
Electronic
scholarly editions should have relatively long lives: at least as long as printed
editions. They should not become technically obsolete before they are intellectually
obsolete.
Printed scholarly
editions have developed their current forms in order to meet both intellectual
requirements and to adapt to the characteristics of print publication. Electronic
editions must meet the same intellectual needs. There is no reason to abandon
traditional intellectual requirements merely because we are using a different medium
to publish them.
8 Principles by Michael Sperberg-McQueen (1994) [5]
On the other hand,
many conventions or requirements of traditional print editions reflect not the demands
of readers or scholarship, but the difficulties of conveying complex information on
printed pages without confusing or fatiguing the reader, or the financial exigencies
of modern scholarly publishing. Such requirements need not be taken over at all, and
must not be taken over thoughtlessly, into electronic editions.
8 Principles by Michael Sperberg-McQueen (1994) [6]
Electronic
publications can, if suitably encoded and suitably supported by software, present the
same text in many forms [and type of reader][...]In this respect, they may face even
higher intellectual requirements than print editions, which typically need not attempt
to provide annotations for such diverse readers.
8 Principles by Michael Sperberg-McQueen (1994) [7-8]
Print editions
without apparatus, without documentation of editorial principles, and without decent
typesetting are not acceptable substitutes for scholarly editions. Electronic editions
without apparatus, without documentation of editorial principles, and without decent
provision for suitable display are equally unacceptable for serious scholarly
work.
As a consequence,
we must reject out of hand proposals to create electronic scholarly editions [merely
as plain text or word processing files].
Sperberg-McQueen 1994
In sum: I believe electronic scholarly editions must meet three
fundamental requirements: accessibility without needless technical barriers to use;
longevity; and intellectual integrity.
RIDE: Scope of Scholarly Digital Editions
- Criteria for evaluating:
- scholarly editions
following a methodology determined by a digital paradigm
- a variety of documents
and the variety of academic schools in scholarly editing
- based on:
- established methods of
the print-era
- new digital
methodologies
- contributing to ongoing
methodological discussions:
- requirements
- best practices
RIDE Evaluations: Schools of editing, limitations, basic criteria
There may be sound
methodological reasons to refrain from textual reconstruction or emendation, to use no
critical apparatus for the documentation of textual variance, or to select a particular
perspective during the transcription. Hence, there are only three necessary conditions
for an SDE:
- Be scholarly: a
justification of the editorial method; clear description of the principles of the
edition,
- Compliance with scholarly
requirements towards content and quality, which includes that the self-stated rules
are followed, and editions acts as a surrogate for the original as much as
possible
- Follow a 'digital
paradigm': i.e. editorial concept that is not restricted to the technological
limitations of print technology
Your own SDEs?
- How should the RIDE
Evaluation Guidelines affect your own creation of SDE?
- When there is failure to meet
these criteria -- most existing SDEs don't meet all of them -- at what point does it
stop being a SDE (or stop being scholarly, or digital, or an edition?)
- What limitations might apply
to the SDEs you will create?

What will you mark up? What features are important? How reliably and consistently can
you encode these?
Now, imagine the funders cut your funding in half! How does this affect what you
do? How does this affect how you'd meet these criteria for SDE?
RIDE Evaluations: Details of the resource
In any evaluation of a DSE, the
details of the resource should be available and recorded:
- Title
- Editors; Principal
investigators; Institutions; Project roles;
- Related projects; earlier
developments; standing on the shoulders of what giants?
- Responsibilities of those
involved; Workflows and project processes
- Resources; Funding sources;
Personnel; time resources
- Any project-wide
limitations
25. RIDE Evaluations: Transparency
- Are the general parameters
easily accessible?
- Does the SDE provide an
imprint? Is it detailed?
- Is there a colophon with
addition details?
- Institutional and/or personal
contact information?
26. RIDE Evaluations: Selection
- How relevant is the SDE to
current and future research?
- What sources and documents
have been selected and why?
- Are there principles of
selection (or sampling)?
- Is the selection or sample
complete within the context of the corpus?
- What is the broader topical
context of the sources?
- Is the selection
understandable?
RIDE Evaluations: Project's Achievements
- What does the SDE contribute
to the current state of knowledge of the topic?
- What has been taken from
earlier works (e.g. printed editions)? What has it added that is new?
RIDE Evaluations: Content
- What does the SDE publish?
Quantify and characterise the information presented (e.g. images, transcriptions, full
texts, comments, context material, bibliography etc.). Is relevant content missing? Is
any omission explained and/or justified?
RIDE Evaluations: Documentation
- Is there a description of the
aims and methods of the SDE?
- If not, is this self-evident
from the content and its presentation?
RIDE Evaluations: Scholarly objectives
- What academic questions does
the SDE address?
- To which fields of research
does it contribute?
- To what extent does it
support specific research interests?
RIDE Evaluations: Mission
- What does the SDE want to
accomplish?
- Does it achieve its
objectives? What does the SDE promise explicitly?
- What does it merely suggest
by self-classification (e.g. ‘edition’, ‘critical edition’, ‘portal’, ‘collected
works’, ‘digital archive’, ‘virtual archive’ etc.)?
- What is the SDE’s target
audience?
RIDE Evaluations: Method
- Which editorial school does
the SDE follow?
- Which methodological approach
does it take?
- Does it apply e.g. a
materialistic or an idealistic / platonic understanding of text?
- Is it focussing on “works” or
on “documents”?
- How does it assess the
textual tradition: Are there preferred manuscripts or are all documents considered to
be of equal value?
RIDE Evaluations: Representation of documents and texts
- How does the SDE deal with
the documents and the texts they bear?
- What is the role and quality
of digital images?
- What perspective on the text
informs the transcription rules applied?
- How detailed is the
transcription?
- Where would you locate the
transcribed texts on a spectrum from document-centric to interpretative
representation?
- Does the SDE provide
amendments and a reconstruction of ideal text versions?
RIDE Evaluations: Text criticism, indexing and commentary
- What kind of textual
criticism is documented in the SDE (e.g. a stemma, detailed description of the
manuscripts)?
- What kinds of indexing,
commentary and description of the documents and texts are applied?
RIDE Evaluations: Data modelling
- How is the editorial method
technically implemented?
- What data model is applied?
- Is the documentation of the
data model sufficient?
- Which data formats are used?
- Does the SDE follow common
standards (e.g. TEI guidelines)?
- If not, is the deviation from
existing standards sufficiently justified?
- If yes, is the data modelling
documented through a formal schema (like an TEI ODD Customisation file) available on
the SDE’s site?
RIDE Evaluations: Technical infrastructure
- Which technologies are used
for the publication of the SDE?
- Why are these technologies
used (e.g. as decision between local conditions and best practices)?
- Is any non-standard aspect of
their use explained in detail?
RIDE Evaluations: Interface and Usability
- Is the interface of the SDE
clearly arranged and usable without much preliminary reading?
- Is the content effectively
provided through the interface?
- Can the user quickly identify
the purpose, the content and the main access methods of the SDE?
- Is the interface in line with
common visual patterns?
- Is the user at any time made
aware of what content is currently displayed, of their position in the in the overall
architecture of the SDE, and how other content can be accessed?
RIDE Evaluations: Browsing the site?
- Is it possible to browse
through the entirety of the content?
- Is browsing access easy to
understand and allow for fast access to any part of the content?
- What is the nature of the
browsing (page-by-page, date, thematic facets, etc.)
RIDE Evaluations: Search
- Is there a simple and/or a
complex search interface?
- How can you constrain your
search?
- How does the user find
information on search options and possibilities?
- Does the search provide
feasible results when searching without specific knowledge of the content?
- Are there support functions,
like informative help texts, indexes or auto-suggestion?
RIDE Evaluations: Indices
- Is the content represented in
any other formats which provide an overview of the edition and support access to the
material, such as compilations, indices or registers?
- Are the indexes, commentary
or description used in the presentation of the content?
RIDE Evaluations: Quality of the presentation
- If there are images, are they
of sufficient quality for the main research interests in the material?
- Can you find significant
errors in the transcriptions?
- Does the SDE contain critical
commentary on the textual tradition or the interpretation of the texts?
- Can the user change the
presentation of the material, e.g. from a diplomatic transcription to a normalized
version?
RIDE Evaluations: Metadata
- Is there metadata for
description of and interlinkage between objects in the edition?
- How are the various
constituent parts and objects of the edition described?
- Are they described clearly
and comprehensively?
- Are the single parts
interlinked?
- Are different text surrogates
linked (e.g. text and image)?
- Are there internal links to
further contextual information?
- Are the single parts linked
to external resources?
RIDE Evaluations: Identification and citation
- Are there persistent
identifiers for the objects of the SDE?
- Which level of the content
structure do they address?
- Which resolving mechanisms
and naming systems are used?
- Does the SDE supply citation
guidelines?
RIDE Evaluations: Technical interfaces
- Are there back-end technical
interfaces like OAI-PMH, REST, APIs etc., which allow the reuse of the data of the SDE
in other contexts?
- Can you harvest or download
the data easily?
- Can you use the data with
other tools useful for this kind of content?
- Can you integrate the content
in other systems, e.g. aggregating content from several sources?
One type of SDE is a well-documented API on top of the academic data --
with different views and presentations of that data
RIDE Evaluations: Social integration
- Does the SDE integrate with
social media and / or virtual research platforms
- Does the SDE easily allowing
sharing/discussion of particular parts? (Citable, hackable, URLs)
- Does the project have a
social media presence in their community?
RIDE Evaluations: Export formats
- Are there alternative display
or presentation formats available?
- Can the SDE materials be
exported to other formats?
- Are there versions optimized
for print?
- Are there versions suitable
for other devices?
- Is the SDE designed to be
responsive to different screen layouts?
RIDE Evaluations: Access to basic data
- Is the basic or underlying
data of the edition accessible (e.g. in XML) and if so, how?
- Is it provided for each
single object and/or for the whole SDE?
- At what granularity is markup
provided?
- Is the access part of the
SDE’s user interface or part of an external repository?
- If you cannot access the
basic data, is a justification provided?
If someone else can not take your data and run the same analysis on it,
then they are unable to reproduce or test your results. If this is the case, your
results are questionable.
RIDE Evaluations: Rights and licences
- Does the SDE provide
sufficient information on rights and restrictions for the reuse of different parts of
the SDE (e.g. images, transcriptions, editorial comments)?
- Does the SDE utilize a rights
model feasible for scholarly reuse of the data?
- Is a specific
internationally-recognised licence model (e.g. Creative Commons) in use?
Wherever possible work funded by public money should be made fully and
completely publicly available. Open data is an academic moral imperative.
RIDE Evaluations: Additional features
- Does the SDE provide features
that merit special attention because they are particularly useful and/or unusual?
- Are there visualisations,
interactivity, image manipulation, options for annotations, commentary notes and
personalisation etc.?
RIDE Evaluations: Documentation
- Does the SDE provide an
introduction or explanatory texts?
- Is there a help system?
- Is there sufficient
documentation of the project, the edition, and the technical implementation of the
SDE?
- Are the source and the
selection of the material described?
- Are the editorial principles
extensively and clearly explained?
RIDE Evaluations: Long term use
- What are the SDE’s prospects
for long term use?
- Is the edition complete or
does it promise further modifications and additions?
- Is there institutional
support for the curation and sustainment of the SDE?
- Is the basic data archived?
- Is there a plan to provide
continuous access to the presentation?
RIDE Evaluations: Terminology
- Can you classify the project
as an “SDE”, and if so, by what definition of an SDE?
- How would you describe the
digital resource as the outcome of an editorial project briefly?
- If the published results do
not fulfill some of the minimal requirements (such as the documentation of the textual
tradition, rule based representation, transparency of the editorial decisions,
scholarly quality), should it be considered an SDE?
RIDE Evaluations: Realisation of aims
- To what extent has the SDE
successfully accomplished its original stated aims?
- What obstacles has it had to
overcome to do so?
- Or why did it not reach these
aims?
RIDE Evaluations: Fulfillment of general requirements
- Does the project fulfill the
requirements of a state of the art SDE?
- Does it fulfill the two basic
requests for creators of a SDE:
- State what you do and act
accordingly
- Keep to the common
scholarly standards
- Is the edition sufficiently
documented?
- Is it citable and
transparent?
- How is the quality of the
content (images, texts, indexing, commentary, context information)?
RIDE Evaluations: Contribution of the SDE to scholarship
What does the SDE
- contribute
to current scholarship in its target field?
- contribute
to best practices in digital scholarly editing in general?
- accomplish
which surpasses the possibilities of a printed edition?
Which features merit special
attention for noteworthiness and/or innovation, even if they are beyond the scope of
these general criteria?
RIDE Evaluations: Usability, usefulness, quality
- Is the SDE easy to use?
- Is it a useful contribution
to a specific field of research?
- How would you describe its
academic quality?
RIDE Evaluations: Suggestions for improvement
- If the project is not
complete and finished, what should be considered for further improvement?
- What would be nice and useful
additions?
- Does the project solicit
feedback?
- What would be the most
desirable steps for an already terminated project?


miniml
[source] [example]An implementation of an eager statically typed functional language with a compiler and an abstract machine.
The language has the following constructs:
- Integers with arithmetic operations
+
,-
and*
. (There is no division because the language has no exceptions.) - Booleans with conditional statement and comparison of integers
=
and<
. -
Recursive functions and function application. The expression
fun f (x : t) : s is e
denotes a function of type
t -> s
which mapsx
toe
. Ine
the function refers to itself asf
. -
Toplevel definitions
let x = e
There are no local definitions.
Example interaction, see also the file example.miniml
:
MiniML. Press Ctrl-D to exit.
MiniML> 3 + (if 5 < 6 then 10 else 100) ;;
- : int = 13
MiniML> let x = 14 ;;
x : int = 14
MiniML> let fact = fun f (n : int) : int is if n = 0 then 1 else n * f (n-1) ;;
fact : int -> int = <fun>
MiniML> fact 10 ;;
- : int = 3628800
MiniML>
Good bye.


Software Developer | Python programer | System Engineer
| Skill | Tools | |||||
|---|---|---|---|---|---|---|
| DevOps | ||||||
| AI | ||||||
| Web | Designing | ||||||
| IOT | ||||||
| Programing | ||||||
| Other |
Under went training and qualified certifications on the listed techologies.
These also include cloud (Private | Public) and configuration managment tools (Anisble | Puppet)!
Includes various motivational talks and technical webinars.  What is the next step of failure? All these taunting questions answered with a living inspirational example. Listen to Elon Musk's life story, it shows us success can be achieved as a result of perseverance, hard work and, of course, absolute faith in our objectives.
Thoughts on life.
Developed an NLP based chatbot which could perfrom all tasks of travel bookings. Used a TF-IDF model to enable greetings. Worked on program optimazation and intergration. Was involved in message queuing stack development. Actively worked on hosting the project on AWS servers.
Worked on private/public cloud and vitrual machine maintaince. Active worked on Citrix/724 builds. Was responsible for ibus containerization and its maintaince. Worked on Tablue/Zabbix/kibana for monitoring. Other tools used were JIRA/Websphere/Vsphere. Developed a dashboard for realtime project managment and client server monitoing using Ansible and web-development. Involved in various scripting automation tasks during my tenure.
A voltage control unit was designed for Sukhoi-30MKI to constantly monitor the input power supplied by the Ground Support Equipment (GSE) used to ensure the correct working.
Was involved in MicroPython programing of Raspberry Pi for self-checks and variable voltage values. Also, worked on PCB design and fabrication
Worked as a freelancer, completing various web-development projects. Conducted various coding/debugging hackathons for intra and inter college level. Presented a paper in NHCE - AISE 4th National conference - 2011.


Introduction
Our final project is to build visualizations to generate insights from distributed trace data. Distributed tracing is a technique used to instrument the execution of an operation that is distributed over a group of software systems, generally referred to as services. For example, when an internet application makes a request to an API endpoint, that request often is serviced by fanning out various subtasks to other services in a data center. Distributed tracing systems instrument the calls from service to service (also known as Remote Procedure Calls or RPCs), and gather the instrumentation in a central place so that the execution of the operation across the fleet can be analyzed. There are many distributed tracing systems in use today. We chose to use the Zipkin system as it is open-source, actively developed, and relatively widely used. However, most distributed tracing systems use a similar schema to represent data, so whatever approaches to visualization we develop here should be applicable to other systems.Begin by inspecting the available data without visualizing the data, and write down three hypotheses.
Zipkin and many other distributed trace systems represent traces as trees, whose nodes are referred to as spans. A single span represents and RPC call. Children of the span are other RPC calls generated by the parent in handling the incoming RPC request. Child spans link to their parents via theparentSpanIdfield. See the Zipkin Data Model page for more explanation of the data format. Our trace data was generated using a synthetic load generation tool running against a local Zipkin server. We used a script to download each generated trace into its own
jsonfile. In total, we produced 4666 traces. The load generation tool randomizes durations for the traces, as well as metadata for specific spans, including error conditions. In theory, since I generated the data, I should be able to predict it's shape, but in this EDA I will proceed as if this is a system I am unfamiliar with. In fact, I only briefly inspected the test topology, and made a single modification, so I am not really 100% sure what to expect. Here are some hypotheses I will investigate:
- Trace tree structure is not 100% consistent for all traces with the same root.
- Total duration of a trace is only loosely correlated with the total number of children.
- For traces with the same root service-endpoint, differences in duration will be related to differences in child duration.
H1: Trace tree structure is not 100% consistent for all traces with the same root.
Next, investigate each of your hypotheses by visualizing relevant variables...
To start off, I'd like to get a rough ID of how many requests come into each endpoint. To do that, I will plot the counts of the service/name pair of the root span of each trace: So it looks like the vast majority of traces come into thefrontend/cartAPI endpoint. I would guess that because this is the most common endpoint, we are likely to see the most variation in trace structure here, but that's not a given. Next, I want to look at each endpoint and figure out if the depth of each trace is consistent. We'll also check the distribution of span counts for traces. It seems that most of the traces are consistent in terms of their depth and span count, with the exception of
frontend/checkout. That answers the question of trace structure consistency, in that we see clearly there is some inconsistency, but I'd like to know more about the inconsistency. I'm going to try and show the tree structure of one of the
frontend/checkouttraces. There seem to be two distinct structures for this trace, based on the histograms, so I'll also find an example of one of the 2-span versions. This is ok, but my concern now is that a user would have to identify each possible trace form and plot them. If there are many traces, this could become really onerous. I think that we can do a more condensed tree format that shows the structure of all traces with a certain entry point (e.g.
frontend/checkout), and maybe encode relative counts using either node size or color.
When I was iterating on this visualization, I would slice the number of traces that I used down to 500 instead of the full 4.5k. This allowed me to iterate more quickly since it took much less time to load. After I finished this visualization, I tested with the full set, and found this surprising insight: there are actually three distinct trace structures for this particular API endpoint. Based on the histograms I used earlier to see depth and count of spans, I thought there were only two. But it turns out that one of the deepest nodes is sometimes missing. I didn't see this in the depth count because similar traces are just as deep, and I couldn't see it in the span count histogram because the binning happened to put traces with 8 and 9 spans together. I think this is a pretty good demonstration of why this visualization is a more useful way to compare the structure of the trees than plotting summary statistics.
I can actually shrink this window significantly, and then show all the trace structures present in the data. Many of these are not particularly interesting, since they only really have one structure, but if they had more divergent structures, that would show up in the coloring of the nodes. The nice thing is, because each endpoint has all their traces represented in a single tree, I can get a sense of all the structures and relative counts at once.
As an alternative, I wanted to try applying a flamegraph, which are somewhat popular in the performance engineering industry. The information is essentially the same; the width of a bar represents the relative percentage of parent calls in which the child appears, divided by the number of children the parent has. This is a complicated thing to articulate with words, but I believe the visual representation ends up being fairly intuitive, especially if you've seen the trace structure graph first. The flame graph allows drilling in on a specific child, so if you click on a node, it expands to fill-up 100% of the width, and its children expand so you can get a closer look at their relative occurrences.
Ultimately, the hypothesis that trace structures are not 100% consistent within the same endpoint is easily validated by either view. It's good to note as well that the histograms I tried actually ended up misleading me about the shape of the traces, which underscores the importance of including the hierarchy as part of the visualization.
H2: Total duration of a trace is only loosely correlated with the total number of children.
It's a little tough to draw a conclusion here. It seems pretty clear that the traces with more spans tend to be longer, however trace span counts are very segmented by trace type. Within trace types, there is a spread of durations, even though in most cases we have the same number of spans. In this case, I feel like the visualization mostly contradicts the hypothesis...it seems like there is a reasonably strong correlation between span count and trace duration.
H3: For traces with the same root service-endpoint, differences in duration will be related to differences in child duration.
For this particular hypothesis I should explain why this might not be a given. It's possible in these traces that a lot of work is executed in parallel. If that's the case, then the durations of the child spans may not directly impact the duration of the trace, so it's not a guarantee that we would have a tight relationship between parent duration and child span duration.
In this case the relationship is pretty clear. Adding the regression line shows that the slope is just shy of 1:1, so we have a very strong correlation between the duration of the trace and the total duration of child spans. This supports our hypothesis that the duration of child spans is a good predictor of the total trace duration.


We create quality software solutions and great development teams. As a modern software house, we prefer to use an agile approach
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mchains.js
Simple library to generate string markov chains
install
npm i mchains --save
usage
supports UMD
usage with commonjs:
const Chain = require('mchains');
usage in the browser without any loader
<!-- In the html-->
<script src="node_modules/mchains/mchains.js"></script>
<script src="yourCode.js"></script>
//inside your javascript source
const Chain = window.mchains;
documentation
constructor
new Chain(parameters);
Parameters:
- Configuration object(optional)
- Training data(optional)
Configuration object(optional):
order:
Defines how many items are grouped together to form a state, in the case of strings that is either words or characters If you want to use this for word generation a lower order will produce more random-like patterns than higher order values
type:
Determines how the strings are parsed and generated:
- "character" will make the strings be parsed as sequences of characters
- "word" will make the strings be parsed as sequences of words (strings delimited by " ", "\n" and "\r" )
Training data:
Optional training data for the chain to process, more information about training data below.
methods
train()
Takes data to train from it generating new states for the chain.
Valid data:
- A string
- An array of strings
- An object with string values in its properties
Examples:
//option 1:
const training = ' just a simple string';
//option 2:
const training = ['first string', 'second string', ['string inside an array', 'etc...']];
//option 3:
const training = {
firstSampleData: ['first string', 'second string', ['string inside an array', 'etc...']],
secondSampleData: {
whateverKey: ['first string', 'second string', ['string inside an array', 'etc...']],
anotherKey: 'just a simple string'
},
thirdSampleData: 'just a simple string'
}
doesStateExist(String)
returns true if the string matches one of the chain states, false otherwise
configOutput(config)
Takes a configuration object to configure the output of the generate method
Configuration object properties:
- minLength -> defaults to chain order
- maxLength -> defaults to chain's order * 2
- amount -> defaults to 1
- capitalizeFirst -> defaults to false
- cropToLength -> defaults to false
getNgrams()
returns an array of strings, representing the unique ngrams found in the provided training data
generate(config)
returns an array of strings generated randomly from the internal states of the chain
- The config param matches the structure of the parameter of configOutput method
Properties
Note: public properties that are ment to be readonly, they are initialized with the cosntructor:
Chain.order
returns the order of the chain, that is, how many items are grouped together to form each state
let chain = new Chain();
chain.order
Chain.type
returns the method used to parse strings, if Chain.type is not String this property will not be used by the algorithm
let chain = new Chain();
chain.type
live examples
The following page uses this algorithm in order to generate some of the names demo page


Politico is a voting app for dedicated to political elections, it allows an adminstrator to create add political parties,
political offices which politicians apply to be candidates and users can vote for them.
HTML5,CSS3, Javascript
BOOTSTRAP, GITHUB API, NODE.JS, GULP,BOWER
PROJECT OWNER, SOFTWARE DEVELOPER


You are being invited to participate in a research study entitled the “Typo challenge”. This study is being led by Dr Anne Cori from Imperial College London and Dr Marc Baguelin from Public Health England.
The purpose of this research study is to understand the errors made when people enter dates in health records, so that these errors can be automatically identified and corrected in epidemic data. You can read more about the study here ).
Your participation in this study is entirely voluntary and you can withdraw at any time. You are free to omit to answer any question.
At the end of the study, the data from the Typo Challenge will be analysed and then the results will be summarised in a scientific publication, as well as made publically available with the publication.
We are not collecting any data that would allow you to be identified, and we believe there are no known risks associated with this research study.
You must be 18 years old or over to take part in this study.


We sell infrastructure!
- leverage intuitive partnerships
- incentivize wireless solutions
- empower user-centric relationships
- mesh best-of-breed niches
- morph impactful models
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- enhance scalable vortals
- expedite best-of-breed relationships
- revolutionize seamless communities
- target bricks-and-clicks initiatives
- incentivize turn-key relationships
- transform virtual applications
- utilize killer users


UNHOLY WIFE, THE (director: John Farrow; screenwriters: based on a story by William Durkee/Jonathan Latimer; cinematographer: Lucien Ballard; editor: Edna Warren; cast: Rod Steiger (Paul Hochen), Diana Dors (Phyllis Hochen), Beulah Bondi (Emma Hochen), Gary Hunley (Michael), Tom Tryon (San), Arthur Franz (Father Stephen Hochen), Joe de Santis (Gino Verdugo), Tol Avery (Carl, D.A.), James Burke (Sheriff), Marie Windsor (Gwen); Runtime: 94; RKO; 1957)
Reviewed by Dennis Schwartz
A ponderous melodrama that even becomes more awkward by the film's end. It's told in flashback as the convicted murderer, Phyllis Hochen (Dors), tells her story about how her perfect crime went wrong and how she ironically got convicted for a crime she didn't do.
The blonde bombshell Phyllis and her girlfriend Gwen pick-up wealthy vintner Paul Hochen (Steiger) and his best friend Gino (de Santis) in an L.A. bar. They have come down from the San Francisco Valley for a vintner's convention. In a whirlwind romance Paul asks the Londoner Phyllis to marry him, and he accepts her 6-year-old son Michael from a previous relationship with an American Air Force sergeant.
Back in the rich man's beautiful estate and vast vineyards, the bored housewife meets a handsome rodeo rider named San (Tryon). She has an affair with him, but is anxious because she has not been able to get away from her husband to see him for the past 6 days. At home with her elderly mother-in-law Emma (Bondi), Phyllis prances around in a tight red evening dress. She fires a gun just to scare Emma, who thinks she hears a prowler around the house. The shots fired prompt Emma to call the sheriff. The Hochen tradition is to never lock the front door, as the grandfather who came from Switzerland established that tradition because this country was so good to him and he thusly said so must its people be. The sheriff comes by to check out the complaint and brings along Paul's brother, Father Stephen (Franz).
Phyllis figures she can kill her husband by making it look like an accident now that a prowler has been reported to be on their premise, and when someone comes through the door she fires. But it's not her husband, as she expected, to her bitter disappointment. It's Gino she killed. She then plots to get her husband to say he accidently killed him, getting him to believe he wouldn't be convicted for an accidental shooting, as she lies and tells him she's a parole violator who if she admitted doing the shooting would have to go back to prison when the cops took her fingerprints. When he goes to trial, it comes out that she planted a letter on Gino making it look like he was murdered. Paul is convicted and sentenced to die in the gas chamber.
Warning: spoiler to follow.
Paul's brother finally gets it out of Paul that his wife killed Gino. He says that he took the rap because he found out he couldn't for medical reasons have kids and doesn't want Michael's mother to go to jail, as he wants to leave the winery to Michael. With Paul scheduled to die that night, San is over the house and is in the wine cellar when Phyllis tells him how she framed Paul. Emma overhears this, but has a heart attack upon hearing the news and can't speak. The doctor prescribes for her a powerful pain-killing pill that is fatal if more than one is taken within an hour. When Emma, by hand signals, answers her son's questions, Phyllis comes in to give her the medication. When the district attorney goes in to question Emma further, he finds her dead from taking 4 pills within the hour and charges Phyllis with the murder. The execution of Paul is put off, and Phyllis while in prison confesses to the priest and the court that she murdered Gino.
REVIEWED ON 7/19/2001 GRADE: C-
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
========== X-RAMR-ID: 28913 X-Language: en X-RT-SourceID: 873 X-RT-AuthorID: 1315 X-RT-RatingText: C-
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


 One computer sends a message to another computer and may receive a response. However, although the goal is simple, the underlying mechanism for achieving this is complex. One way of thinking about it is that there is an interplay of hardware and software that is needed to get a message from point A to point B. The Internet Protocal Suite is helpeful in understanding this interplay.
At the lowest level is the "Link Layer". This deals with how to tramsit an electrical signal between two points. One challenge it solves is how to reliably send a signal and it deals with issues such as electrical interference and degredation of signal strength.
Next you have the "Internet" layer which deals with how you transpor a packet of information from point A to point B. It handles questions such as how to find a path through a series of nodes in the network to the destination.
In the transport layer, you establish a link between the sender and receiver so that packets can be transfered freely back and forth.
Finally you have the Application layer, which is the layer that is directly expsed to the user. This deals with the interface for interacting with the internet.


layout: true
--- class: center, middle # Angular 9 vs Angular 8 ![:img Angular, 20%](angular.ico) => --- # Agenda 0. About me 1. Introduction to Docker (images, container) 1. VSCode with Docker 2. Angular 9 What's new 2. Angular 8 vs Angular 9 2. Ivy 2. Updating 7. Questions ? --- class: center, top # About me Andrei Ignat http://msprogrammer.serviciipeweb.ro/ www.ASP.NET forum moderator YouTube 5 minutes .NET and tools : http://bit.ly/5MinTools Book Making Open Source Component : http://bit.ly/NetOpenSourceComponent Book Copy Paste from StackOverflow : https://amzn.to/2PQ8EDc Monthly meetings: https://www.meetup.com/Bucharest-A-D-C-E-S-Meetup/ --- # Introduction to Docker (images, container) + VSCode run images Docker Hub for images MCR.Microsoft.Com Demo 1. Jenkins : docker pull jenkins/jenkins , docker run -p 8080:8080 -p 50000:50000 jenkins/jenkins:lts 1. Sql Server tutorial: https://www.codeproject.com/Articles/5258260/Using-Docker-for-Local-SQL-Server-Development 1. Stankins : docker run -p 5000:5000 ignatandrei/stankins_linux 1. Your database ? --- # VSCode with Docker Interacting with containers Running in containers DevContainers: https://github.com/microsoft/vscode-dev-containers CTRL+SHIFT+P - open folder in container --- # Angular 9 What's new Source: https://auth0.com/blog/angular-9-whats-new/ https://github.com/angular/angular/blob/master/CHANGELOG.md#900-2020-02-06 1. Provided in: root, any, platform https://angular.io/api/core/Injectable ( read also: https://angular.io/guide/architecture-services , https://angular.io/guide/dependency-injection) 2. Ivy smaller bundling size + Ivy makes AOT to the ng serve https://slides.com/andreiantal/angular-9-a-look-at-ivy/#/9 3. Improved CSS class and style binding https://blog.angular.io/version-9-of-angular-now-available-project-ivy-has-arrived-23c97b63cfa3 4. Testing: Component harnesses https://blog.angular.io/version-9-of-angular-now-available-project-ivy-has-arrived-23c97b63cfa3 5. @angular/google-maps, @angular/youtube-player - https://github.com/angular/components 6. VSCode extension: https://marketplace.visualstudio.com/items?itemName=Angular.ng-template --- # Angular 8 vs Angular 9 Info from: https://blog.angular.io/version-9-of-angular-now-available-project-ivy-has-arrived-23c97b63cfa3 Demo project Ang 8 vs Ang 9 1.
- compile time 1. ExpressionChangedAfterItHasBeenCheckedError 1. Debug components in console --- class: center, top # Ivy https://slides.com/andreiantal/angular-9-a-look-at-ivy/#/16 https://www.reddit.com/r/Angular2/comments/f18z2s/big_surprise_after_compile_with_ivy/ ( Doom 1 size: 2.39 MB) --- class: center, top # Updating https://angular.io/guide/updating-to-version-9 --- class: center, top # Questions? Andrei Ignat http://msprogrammer.serviciipeweb.ro/ www.ASP.NET forum moderator YouTube 5 minutes .NET and tools : http://bit.ly/5MinTools Book Making Open Source Component : http://bit.ly/NetOpenSourceComponent Book Copy Paste from StackOverflow : https://amzn.to/2PQ8EDc Monthly meetings: https://www.meetup.com/Bucharest-A-D-C-E-S-Meetup/


{% extends "_base.html" %} {% block content %}
Compare with another fingerprint Compare
Back to track "{{ track_gid }}"


Hello, My name is Afrizal Dani Saoqi, you can call me oky. Right now i'm studying Electrical Engineer in University of Gadjah Mada.
Simple IoT Dashboard using Django. This dashboard control a servo
View ProjectSimple chat bot from messenger to control your home. This chat bot use wit.ai as NLP
View Project


Lightweight Directory Access Protocol.
This port is usually used for Directories. Directory here means more like a telephone-directory rather than a folder. Ldap directory can be understood a bit like the windows registry. A database-tree. Ldap is sometimes used to store user's information. Ldap is used more often in corporate structure. Webapplications can use ldap for authentication. If that is the case it is possible to perform ldap-injections which are similar to sqlinjections.
You can sometimes access the ldap using a anonymous login, or with other words no session. This can be useful becasue you might find some valuable data, about users.
ldapsearch -h <IP_ADDRESS> -p 389 -x -b "dc=mywebsite,dc=com"
When a client connects to the Ldap directory it can use it to query data, or add or remove.
Port 636 is used for SSL.
There are also metasploit modules for Windows 2000 SP4 and Windows Xp SP0/SP1


The image you see below is a static file served by the NGINX proxy server. It is intentionally left here to showcase that django on docker still recognizes your static files and will also recognize the media files.
Here's the author of the template you are using!


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Leroy Saunders
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Awesome community
Joining the Rebellion means meeting, learning and sharing with lots of brilliant, like-minded people.
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Gain validation by sharing knowledge you already have while learning and experimenting with new skills and tech.
If you've got a project which you want to start or continue, use our Clubs as a great space to be productive and get support.
Joining the Rebellion means meeting, learning and sharing with lots of brilliant, like-minded people.
These will be on-going and decided by each Club as a whole, giving every Rebel the chance to work on a group project.
Hardware Hubs will offer a variety of kit and gadgets for Rebels to experiment with.
Workshops are great ways to give deeper insight into specific areas of the tech world, or kickstart new skills.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 1
Preheat a non-stick baking sheet in the oven at 200C/400F/Gas 6.
For the steak, rub the steak all over with oil and press into the peppercorns to coat the steak.
Heat a griddle pan until very hot and chargrill the steak for 2-3 minutes on each side. Place the steak onto the preheated baking sheet.
Place the carrots onto the baking sheet with the steak, drizzle with oil, season with salt and freshly ground black pepper and place into the oven to roast for 4-5 minutes. Remove the beef from the oven when cooked to your liking and leave to rest. Leave the carrots to continue roasting until beginning to turn golden-brown.
For the red onion relish, heat the butter and oil in a saucepan over a medium heat and cook the onion until softened but not coloured.
Add the brown sugar, stir well to coat the onions and cook until caramelised. Add the red wine and vinegar, bring to the boil and simmer until thickened. Season with salt and freshly ground black pepper.
For the mustard mash, place the butter, oil, milk and mustard into a large bowl with the potato. Season with salt and freshly ground black pepper and mash with a potato masher until smooth.
To serve, place the steak onto a plate with the carrots and mash and a spoonful of relish.


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When you write a c++ program, the next step is to compile the program before running it. The compilation is the process which convert the program written in human readable language like C, C++ etc into a machine code, directly understood by the Central Processing Unit. There are many stages involved in creating a executable file from the source file. The stages include Preprocessing, Compiling and Linking in C++. This means that even if the program gets compiled, it may result in not running as errors may arise during the linking phase. Hence most IDE (Integrated Development Environment ) like Eclipse, Geany etc consider the term build for transforming source code file to an executable file.
Now, how you compile a certain program, that depends upon operating system and compiler. These days compilers are run from IDE (Integrated Development Environment) that contains building and analysis tools. You just have to click the menu to compile the program and then execute it. But actually the whole process occurs in different phases. That is where compiling and linking in c++ comes.
Preprocessing
In this phase the preprocessor changes the progrPreprocessingam according to the directives mentioned (that starts with # sign). The C++ preprocessor takes the program and deals with the # include directives and the resulting program is pure c++ program. For example, in c++ program #include<iostream> will tell the preprocessor to read all the contents of the iostream header file and include the contents into the program and generate the separate C++ program file. C++ supports many preprocessor directives like #include, #define, #if, #else etc
Compilation
This phase translates the program into a low level assembly level code. The compiler takes the preprocessed file ( without any directives) and generates an object file containing assembly level code. Now, the object file created is in the binary form. In the object file created, each line describes one low level machine level instruction . The conversion to assembly language is important as it is common output language for many compilers of different high-level languages.
There is also assembly phase which converts these object files in assembly code into machine level instructions and the file created is a relocatable object code. Hence, the compilation phase generates the relocatable object program and this program can be used in different places without have to compile again.
But you still can’t run these object files until to convert them into executable file, now here linker comes into play, which links all the object files to generate single executable file.
Linking
Linking as the name suggests, refers to creation of a single executable file from multiple object files. The file created after linking is ready to be loaded into memory and executed by the system . There is difference in linking and compilation when it comes to understanding errors. Compiler shows errors in syntax, for example semi-colon not mentioned, data type not defined etc but if there is an error that function has been defined multiple times, then this error is from linker as its indicating that two or more source code files have the same meaning and that is leading to an error.
Attachments:
[Selection_101.png]
[Selection_103.png]


Author Instructions
1. Register a Github Account
Register for a free Github account here.
Send your Github username to the JMO Digital Admin to be approved for access. Email<EMAIL_ADDRESS>Access the JMOdigital Github repository using prose.io. Login using your Github credentials.
Please do not modify any parts of this repository except the post you are working on.
2. Write your post
Have a look at a sample post in the _posts folder of the Github repository.
Posts should be written using Markdown. This is a shorthand formatting tool that will allow you to produce beautiful articles (like this) with a basic text editor.
Here is a link to a Markdown cheatsheet.
At the top of your post you need some frontmatter. This contains some important meta-data about your blog post such as author name, date, tags etc.
Here is an example of the frontmatter:
layout: post
cover: 'assets/images/cover6.jpg'
title: What if hospitals were run by Apple
date: 2015-01-01 10:18:00
tags: ideas bankstown
author: martin
categories: martin
navigation: true
disqus: true
Notes:
- layout: should always be post
- cover: replace "cover6" with the name of your image. Put your image into the /assets/images/ folder
- date: please obey the YYYY-MM-DD TIME format
- tags: these are the categories you want your post to be associated with e.g. your hospital name, idea if you want it to be on the ideas portal etc
- author: your first name - important so we can automatically match the article with your author profile
- categories: your first name
- navigation: should always be true
- disqus: this relates to the commenting at the bottom of your post. You can disable this if you choose.
Save your post as text file with the following naming schema:
2015-10-10-nepean-jmo-wiki.md
Date - title In .md format (Markdown)
Finally, upload your post into the _posts folder of the Github repo.
3. Create your author profile
Add your author profile to the _data/authors.yml file.
Please mimic the format of the existing authors:
- name: Joe Bloggs
email<EMAIL_ADDRESS>nickname: your first name - **important**
bio: 'One sentence bio'
location: 'Melbourne, Australia'
url: your website (optional)
image: your headshot (optional)


A custom facial that includes skin analysis, cleansing, exfoliation, steam cleaning, extractions, masque, moisturizers, sunscreen and eye cream.
This great treatment includes an enzyme peel that instantly rejuvenates skin to look and feel younger. You also receive a relaxing face, neck, décolleté (chest), shoulder, arms, and hands massage.
A gentle exfoliation, with deep pore cleaning followed by extraction. Men need to have their faces taken care of as well.
Microdermabrasion is a safe, innovative mechanical peeling that enables a progressive and controlled exfoliation of the skin followed with a facial.
Hydrodermabrasion is a crystal-free method to the microdermabrasion process. Using water jets, it is perfect for exfoliating sensitive skin, revealing a smoother and even skin tone.
A custome peel that contains antioxidants and beneficial nutrients to help reverse the signs of aging. Rejuvenates lifeless skin and reduces pigmentation and improves skin tone & clarity.
Classic European Facial begins with the Profector Nano Current to build the cell oxygenation signal that resonates with the body's own biological signal. This technique has been proven to increase blood circulation & stimulate oxygen exchange in cells. The Reforming mask will deliver a firming and tightening effect.
Improve the appearance of damaged skin, diminish the look of fine lines and wrinkles, smooth and firm saggy skin, re-hydrate and detoxify fatigued, stressed skin. Stimulate cell activity and increase moisture retention. Includes a masque suited for your skincare needs. Best results if done in a series.
This treatment supports age management concerns and also assists with the treatment of non-inflammatory acne. This unique peel is formulated with stem cells, and the latest in anti-aging technology that increases celluar turnover, release of comedones, fine lines and wrinkles, skin texture, production of collagen and elastin.
A chemical peel designed to remove and heal skin damage that is more extensive than regular "wear and tear."
This facial brightens and softens the skin, reduces the signs of aging and photo-damage, diminishes pigment marks and gives the skin a healthy, radiant look by glycolic and alpha-hydroxyl acids, enzymes, and antioxidant Vitamin C & A. Dead cells are effectively and gently exfoliated.
An aromatic cleansing and exfoliating scrub removed with steamy towels to relax aching muscles followed by a lymph drainage massage. Experience a calming custom masque finished with customized hydration.
Facial acupuncture offers a nonsurgical face lift and boosts the body's natural ability to regenerate and enhance your skin's condition. This method increases collagen and elastin production to fill in fine lines and wrinkles and lift sagging skin.


Prof. Sankii
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S3R3 is the S3 Resume and Reel Review program where students and emerging professionals with less than 3 years’ experience have their resume or reel reviewed by industry professionals. This is conducted either virtually or in-person at the SIGGRAPH and SIGGRAPH Asia Conferences in 20-minute sessions. Reviewers assess students’ work and offer tips to improve the chances of finding work within the computer graphics industry. Students are matched to industry professionals based on their desired work field and job skills and provide their resume and/or reel for review and expert advice. S3 provides four S3R3 sessions throughout the year during the Winter (virtual), Spring (virtual), Summer (at SIGGRAPH), and Fall (at SIGGRAPH Asia and virtual). Some example categories for students to choose from to have their work/resumes reviewed are not limited to but include the following:
- Art/Animation (experience in modeling, texturing, compositing, animation, etc.)
- Production/Design (experience brainstorming ideas and transforming creative vision into reality)
- Technical Art (experience in hybrid/ equal parts programming and art: rigging, scripting, shader
writing, etc.)
- Technical Development (experience in strictly technical aspects such as programming,
rendering, robotics, engineering, etc.)
- Management (experience in producing, production assistant coordinating production and
managerial aspects)
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{{- page.onsite-signup-form -}}
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{%- capture reviewer-signup-form -%}
{{- page.reviewer-signup-form -}}
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{{- page.onlinestudent-signup-tab -}}
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{%- capture reviewer-signup-tab -%}
{{- page.reviewer-signup-tab -}}
{%- endcapture -%}
{%- capture onsite-signup-tab -%}
{{- page.onsite-signup-tab -}}
{%- endcapture -%}
{%- capture onsite-tab-enabled -%}
{{- page.onsite-tab-enabled -}}
{%- endcapture -%}
{%- capture onlinestudent-tab-enabled -%}
{{- page.onlinestudent-tab-enabled -}}
{%- endcapture -%}
{%- capture reviewer-tab-enabled -%}
{{- page.reviewer-tab-enabled -}}
{%- endcapture -%}
{%- capture onsite-tab-active -%}
{{- page.onsite-tab-active -}}
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{{- page.reviewer-tab-active -}}
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{{- page.tab-size -}}
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{%- include s3r3-tabs.html tab-size=tab-size reviewer-tab-active=reviewer-tab-active onsite-tab-active=onsite-tab-active onlinestudent-tab-active=onlinestudent-tab-active onlinestudent-tab-enabled=onlinestudent-tab-enabled reviewer-tab-enabled=reviewer-tab-enabled onsite-tab-enabled=onsite-tab-enabled onsite-tab=onsite-signup-tab reviewer-tab=reviewer-signup-tab onlinestudent-tab=onlinestudent-signup-tab onlinestudent-signup=onlinestudent-signup-form onsite-signup=onsite-signup-form reviewer-signup=reviewer-signup-form -%}
{% else %}
Sign-ups are closed. Check back soon!
{% endif%}


<iframe>
This is a test of including a QTI.JS assessmentItem within an <iframe> on a regular HTML page.


| GEOS SDK TechDocs
|
| 3 Using Virtual Memory
| 3.2 Opening or Creating a VM File
There are five basic steps to using VM files. The steps are outlined below, and described in greater detail in the following sections.
-
Open (or create) the VM file
Before you perform any actions on a VM file, you must open it with
VMOpen()
. This routine can be used to open an existing VM file or create a new one. If you use the document control objects, they will open and create files automatically. Once you have created a VM file, you may want to change its attributes with
VMSetAttributes()
.
-
Bring a VM block into the global memory heap
After you open a VM file, you can bring blocks from the file into memory with
VMLock()
. You can also create new blocks with
VMAlloc()
and
VMAttach()
.
-
Access the data
Once a VM block has been brought into memory, you can access it the way you would any other memory block. When you are done with the data, you should unlock it with
VMUnlock()
. If you change the memory, you should mark it dirty with
VMDirty()
before unlocking it. This ensures that the new version of the block will be written to the disk.
-
Update the VM file
Use one of the several VM updating routines to copy the dirty blocks back to the disk. (If asynchronous update is allowed, the VM file manager will try to update blocks whenever they are unlocked.)
-
Close the VM file
Use
VMClose()
when you are done with the file. It will update the file and close it.
| GEOS SDK TechDocs
|
| 3 Using Virtual Memory
| 3.2 Opening or Creating a VM File


These articles are part of exploration that started in late 2015 and early 2016. It was a confusing time: autonomous vehicles and Boston Dynamics were frequently in the news and OpenAI was just formed to make sure that the “march towards AGI was safe.” UBI was actively being discussed by Sam Altman and Ray Kurzweil was promoting 10x / exponential thinking. At the same time, economists like Robert Gordon were arguing that we were actually living in a time of low progress.
I tried to develop my own perspective on what was happening, with key conclusions presented at this link. Greater detail supporting other conclusions can be found in Part I and Part III.
Aging populations are an increasing share of the overall population, creating challenges.
Noted in Part I, weak general innovation is one driver of low economic growth. Changes affecting the makeup of our labor force will provide further drags on productivity Two factors are an aging labor force and a “skills challenge” for remaining labor attempting keeping up with dynamic changes in technology.
Aging labor forces have a tremendous effect on productivity. On average, every 10% increase in the share of a state’s population over the age of 60 reduced per capita growth in gross domestic product by 5.5%. This is explained by two factors. First (and most intuitively), as more workers retire, the labor force grows more slowly. This explains one-third of the 5.5% growth hit. But the (surprising) bigger effect is through reduced productivity—that is, output per hour—of the remaining workers. Mentorship matters! Experienced employees make their less-experienced reports more productive.
This effect of aging on productivity will be even more pronounced as McKinsey estimates that we are entering an era of slow-growing or even shrinking labor forces (see image below). To maintain historical rates of GDP growth, it’s estimated that the “aging advanced” economies would need to increase productivity growth by about 60 percent of historical levels, to about 1.9 percent annually. This is a rate that hasn’t been reached since the 1960s. As an extreme example, the Southern Europe cluster will face an even steeper challenge: these economies would need to double their 0.7 percent rate of productivity growth of the past 20 years to sustain growth in GDP per capita.
When these productivity challenges are coupled with declining labor force participation rates, the ultimate effect is a deceleration in per capita GDP growth. Future generations could have a lower rate of improvement in living standards than their parents—and in some cases, such as in the Southern Europe cluster, the next generation could be poorer than their parents.
For younger workers, capturing emerging areas of economic growth require new skills.
What about the remaining labor force? Here we find significant mismatches between what employees can do and what firms need to be done. In most advanced economies, unemployment rates for the least-skilled are two to four times those of the most highly skilled workers, whether the economy is in recession or recovery. The effects of falling demand for low-skill labor have been especially harsh for younger workers. Today, 75 million young people (aged 15 to 24) who are not in school or college are unemployed, account for 38 percent of the world’s unemployed.
For skilled labor, firms are finding a lack of talent—a “STEM shortage.” This is reflected in the time required to fill roles. In a Brookings study, the duration of advertising for a STEM occupation that typically requires a graduate degree is 25 days at the median, 50 days average, and 93 days at the 80th percentile. These search times are much longer than the average for all non-STEM U.S. vacancies, for which the median is just five days, the average is 33, and the 80th percentile is 64. The question of how to tackle these problems—adapting an economy with a large aging population with significant dynamism in the most valued skills—will be a challenge of the next few decades.
Skills in digital growth will require new education models that are promising, but unproven.
There has been much documentation around occupational skill gaps: for example, in manufacturing, in STEM, and in digital literacy. As a result, many non-traditional workforce development programs have been created in recent years, including online courses (MOOCs) and bootcamp models. Tech training is touted by workforce development policymakers as being at the leading edge of trends such as skills-based hiring, non-traditional learning, and rapid education models. Bootcamps are considered by some to be at the forefront of workforce development more generally.
Yet the field is new, and the lack of comprehensive and concrete data on outcomes and transparency makes much of the tech training hype difficult to verify. Additionally, policymakers and employers may be overwhelmed by the abundance of new training programs. Questions still linger about whether these programs are successfully creating a skilled tech workforce that meets employers’ needs, much less if these programs are fulfilling the promise of economic mobility for participants and creating a workforce that is diverse in gender and race.
“The rubber hits the road at employment. All this great stuff means nothing if you don’t hire the people at the end.” – Barbara Chang, Code to Work
As a relatively new field, complete data does not exist to evaluate which programs are most effective, making it difficult for employers, participants, and funders to determine their success. The data most programs release do not show whether graduates take jobs in the field, or whether they are still employed several years later. As a result, employers may be missing good job candidates due to limited resources for recruitment and job seekers must rely on anecdotes and unverified statistics to make decisions about whether to participate in a program and which one to choose.
What does it all mean
Aging populations may be a significant headwind to growth in the subsequent decades. To maintain and exceed current rates of productivity growth, the population will need to more intensively adopt digital skills. Job skills, retraining, and effective certification are particularly important areas of public-private partnerships.
Additional research, perspective, and detail can be found in the following supporting articles:
- Intro: Creating a general framework for current opportunities and challenges.
- Part I: We are in a time of slow productivity and strong incumbents.
- Part III: Technology requires deeper integration into our work lives.
My goal in putting this together was to clarify my own thinking - and to present it in a way that can be challenged and deepened by others. I would be grateful to learn what may resonate (or differ) from your personal perspectives and work.


| Opcode/Instruction | Op/En | 64/32-bit Mode | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
66 0F 7D /r HSUBPD xmm1, xmm2/m128 |
RM | V/V | SSE3 | Horizontal subtract packed double-precision floating-point values from xmm2/m128 to xmm1. |
| VEX.NDS.128.66.0F.WIG 7D /r VHSUBPD xmm1,xmm2, xmm3/m128 | RVM | V/V | AVX | Horizontal subtract packed double-precision floating-point values from xmm2 and xmm3/mem. |
| VEX.NDS.256.66.0F.WIG 7D /r VHSUBPD ymm1, ymm2, ymm3/m256 | RVM | V/V | AVX | Horizontal subtract packed double-precision floating-point values from ymm2 and ymm3/mem. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| RM | ModRM:reg (r, w) | ModRM:r/m (r) | NA | NA |
| RVM | ModRM:reg (w) | VEX.vvvv (r) | ModRM:r/m (r) | NA |
The HSUBPD instruction subtracts horizontally the packed DP FP numbers of both operands.
Subtracts the double-precision floating-point value in the high quadword of the destination operand from the low quadword of the destination operand and stores the result in the low quadword of the destination operand.
Subtracts the double-precision floating-point value in the high quadword of the source operand from the low quad-word of the source operand and stores the result in the high quadword of the destination operand.
In 64-bit mode, use of the REX.R prefix permits this instruction to access additional registers (XMM8-XMM15).
See Figure 3-20 for HSUBPD; see Figure 3-21 for VHSUBPD.
X3
X2
X1
X0
SRC1
Y3
Y2
Y1
Y0
SRC2
DEST
Y2 - Y3
X2 - X3
Y0 - Y1
X0 - X1
128-bit Legacy SSE version: The second source can be an XMM register or an 128-bit memory location. The desti-nation is not distinct from the first source XMM register and the upper bits (VLMAX-1:128) of the corresponding YMM register destination are unmodified.
VEX.128 encoded version: the first source operand is an XMM register or 128-bit memory location. The destination operand is an XMM register. The upper bits (VLMAX-1:128) of the corresponding YMM register destination are zeroed.
VEX.256 encoded version: The first source operand is a YMM register. The second source operand can be a YMM register or a 256-bit memory location. The destination operand is a YMM register.
HSUBPD (128-bit Legacy SSE version)
DEST[63:0] (cid:197) SRC1[63:0] - SRC1[127:64] DEST[127:64] (cid:197) SRC2[63:0] - SRC2[127:64] DEST[VLMAX-1:128] (Unmodified)
VHSUBPD (VEX.128 encoded version)
DEST[63:0] (cid:197) SRC1[63:0] - SRC1[127:64] DEST[127:64] (cid:197) SRC2[63:0] - SRC2[127:64] DEST[VLMAX-1:128] (cid:197) 0
VHSUBPD (VEX.256 encoded version)
DEST[63:0] (cid:197) SRC1[63:0] - SRC1[127:64] DEST[127:64] (cid:197) SRC2[63:0] - SRC2[127:64] DEST[191:128] (cid:197) SRC1[191:128] - SRC1[255:192] DEST[255:192] (cid:197) SRC2[191:128] - SRC2[255:192]
HSUBPD:
__m128d _mm_hsub_pd(__m128d a, __m128d b)
VHSUBPD:
__m256d _mm256_hsub_pd (__m256d a, __m256d b);
When the source operand is a memory operand, the operand must be aligned on a 16-byte boundary or a general-protection exception (#GP) will be generated.
Overflow, Underflow, Invalid, Precision, Denormal
See Exceptions Type 2.


| Modifier and Type | Method and Description |
|---|---|
RakNetClient |
RakNetClient.setDiscoveryMode(DiscoveryMode mode)
Sets the client's discovery mode
|
RakNetClient |
RakNetClient.setDiscoveryPort(int discoveryPort)
Sets the client's discovery port
|
RakNetClient |
RakNetClient.setListener(RakNetClientListener listener)
Sets the client's listener
|
| Constructor and Description |
|---|
RakNetClientHandler(RakNetClient client) |
SessionPreparation(RakNetClient client,
int initialMaximumTransferUnit) |
| Modifier and Type | Method and Description |
|---|---|
RakNetClient[] |
DiscoveryThread.getClients()
Returns the clients that are currently using the discovery system
|
| Modifier and Type | Method and Description |
|---|---|
void |
DiscoveryThread.addClient(RakNetClient client)
Adds a client to the discovery system so it can discover servers
|
void |
DiscoveryThread.removeClient(RakNetClient client)
Removes a client from the discovery system so it will no longer discover
servers
Note: This method is normally called when a client is garbage collected |
| Modifier and Type | Class and Description |
|---|---|
class |
RakNetClientBundleExample
A simple
RakNetClient that is extending
RakNetClient in order to connect to the LifeBoat Survival Games
server, when it is connected the client disconnects and shuts down |
| Modifier and Type | Method and Description |
|---|---|
RakNetClient |
RakNetClientException.getClient()
Returns the client that caught the exception
|
| Constructor and Description |
|---|
RakNetClientException(RakNetClient client,
java.lang.String error) |
| Constructor and Description |
|---|
AlreadyConnectedException(RakNetClient client) |
ConnectionBannedException(RakNetClient client) |
EncryptionEnabledException(RakNetClient client)
Deprecated.
|
IncompatibleProtocolException(RakNetClient client,
int clientProtocol,
int serverProtocol) |
InvalidProtocolException(RakNetClient client) |
NettyHandlerException(RakNetClient client,
RakNetClientHandler handler,
java.lang.Throwable cause) |
NoFreeIncomingConnectionsException(RakNetClient client) |
ServerOfflineException(RakNetClient client,
java.net.InetSocketAddress address) |
UseSecurityException(RakNetClient client)
Deprecated.
|
| Constructor and Description |
|---|
BroadcastFrame(RakNetClient client) |
| Constructor and Description |
|---|
RakNetServerSession(RakNetClient client,
long guid,
int maximumTransferUnit,
io.netty.channel.Channel channel,
java.net.InetSocketAddress address) |


Launch a crowdsale. Inform your crowd in realtime with SMS.
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Anyone can trigger a transfer from any wallet on the test network.


Realme X50 with 5G support to launch soon
by BusinessToday.InBack in June, Madhav Seth, the company's CEO, had confirmed that Realme is working to bring 5G capable smartphone by the end of this year
Realme has finally announced its plan to launch 5G phones, joining other brands that brought 5G-ready phones to the market earlier this year.
It has also revealed the name of its first 5G phone - the Realme X50.
Back in June, Madhav Seth, the company's CEO, had confirmed that Realme is working to bring 5G capable smartphone by the end of this year.
The information whether the Realme X50 will rely on a MediaTek SoC or a Qualcomm SoC to offer 5G support has not been revealed yet.
If rumours are to be believed, Snapdragon 735 Soc might be among the first non-flagship Qualcomm processors that will offer 5G support.
The phone will have a pill-shaped hole-punch on the front that will hold dual selfie cameras.
The upcoming Realme phone will offer support to both Standalone (SA) and Non-Standalone (NSA) 5G networks, just like upcoming Redmi K30 5G. Xiaomi's Redmi K30 5G has been confirmed to launch in December, meanwhile there is no announcement as when the Realme X50 will arrive in India.
Also read: Xiaomi retains No. 1 spot; Apple re-enters top 10, says report
Also read: Realme X2 Pro, Realme 5s launched in India: Price starts at Rs 29,999 and Rs 9,999


3
1 Joshua and all the other Israelites got up early the next morning. They left their camp at the Acacias and went down to the Jordan River. They camped there before they crossed over the river.
2 After three days, the officers went through the middle of the camp.
3 They instructed the people, "As soon as you see the priests, some of the descendants of Levi, carrying the sacred chest of Yahweh your God, then you will know it is time to leave this place and follow the sacred chest.
4 Keep about nine hundred meters away from it. Do not come closer than that to it. You do not know the way you should go, since you have not gone this way before."
5 Then Joshua told the people, "Perform the ceremonies needed to make yourselves acceptable to Yahweh and to give him honor, because tomorrow he is going to do things for you that will amaze you."
6 Then Joshua said to the priests, "Carry the chest and go in front of the people." So they lifted up the sacred chest and went in front of the people.
7 Then Yahweh said to Joshua, "This is the day that I will begin to show all people of Israel that you are a great leader. Then they will honor you and know that, as I was with Moses, I am with you.
8 Tell the priests who are carrying the sacred chest, 'When you come to the edge of the Jordan River, stand still in the Jordan.'"
9 Then Joshua said to the people of Israel, "Come here and listen to what Yahweh, your God, has said.
10 This is how you will know that God, who can do anything, is among you. With your own eyes you will see how he will take away the land from the Canaanites, the Hittites, the Hivites, the Perizzites, the Girgashites, the Amorites, and the Jebusites.
11 See! The sacred chest that belongs to the God who rules over all the earth, is about to be carried into the Jordan River ahead of you.
12 So choose twelve men, one from each of the tribes of Israel.
13 When the priests who are carrying the chest touch the soles of their shoes in the waters of the Jordan River, the water will stop flowing. The water coming from upstream will stop and stay in one heap. It will not flow down the river."
14 So when the Israelite crossed the river, the priests who were carrying sacred chest went in front of them.
15 And as soon as the priests reached the edge of the Jordan river and stepped into the water (now it was the springtime, when the river floods over its banks),
16 and the water stopped flowing and it piled up far upstream. The water did not flow in the Jordan from the town called Adam, near Zarethan, all the way down to the sea of Arabah (which is called the Dead Sea), so the people were able to cross the river near Jericho.
17 The priests who were carrying the sacred chest of Yahweh stood on dry ground in the middle of the Jordan River; they continued to stand there until all the people of Israel crossed the river on dry ground.


Tennis: Barty ends stellar season with WTA Finals victory
SHENZHEN, China: Ashleigh Barty finished the season in style by beating defending champion Elina Svitolina 6-4 6-3 to add the WTA Finals title to her end-of-year world number one ranking on Sunday (Nov 3).
Barty, who became the first Australian to top the WTA rankings at the end of the year since they were introduced in 1975, capped a stellar season in Shenzhen having also won the French Open at Roland Garros in June.
Barty became the first Australian to win the WTA Finals since Evonne Goolagong Cawley claimed her second title in 1976.
"It's been the most incredible year for me," said Barty, who pocketed a record US$4.42 million for her victory in Shenzhen, where the tournament was being held for the first time as part of a 10-year residency.

There was little between the pair until the penultimate game of the first set when Barty fended off a break point before putting Svitolina's serve under pressure in the following game.
The Australian took the opener when she converted a break point at the third time of asking, punishing Svitolina's second serve with a firm forehand.
The tension increased in the second set as neither player was able to hold serve consistently.
Svitolina broke early to give herself a lifeline, only for Barty to win the next three games - including two breaks of serve. Yet another slip-up on her own serve allowed Svitolina back into the set.
Barty broke yet again, however, claiming the eighth game of the set when she converted her third break point as Svitolina pulled a shot wide and secured her fourth title of the season with a hold to love in the next game.
Hungary's Timea Babos won the doubles title for the third year in a row, partnering with Kristina Mladenovic from France to see off Barbora Strycova and Hsieh Su-wei 6-1 6-3 in the final.
"We played some great tennis," said Babos. "There was no-one out there on this tournament who could beat us. That's really amazing.
"Of course, to share it with Kiki, to play on the biggest stage with her, to get the title together, it's an incredible story.
"I'm just really, really happy to lift that trophy again."


Retired Ghanaian footballers honour coach Sarpong
Accra, Nov. 20, GNA - Retired Ghanaian footballers living in the United Kingdom (UK) last Sunday played a special match to honour veteran coach Joseph E. Sarpong.
The former Hearts and Kotoko trainer who was present in at the match venue in London was delighted with the acknowledgment by the retired footballers.
Prior to the match up, coach Sarpong exchanged pleasantries with former Ashanti Gold trio - Tony Arhinful, Prince Owusu-Ansah and goalkeeper Richard Obimpeh.
Ghanaian-born former Togo international, Eric Akoto, Moro Issah, Daniel Edusei, Ernest Adu, KwamePoku and Mark Fish were in attendance at the Birchmere Park in Thamesmead, London.
After a scrappy first 20 minutes, the home side took the lead moments after goalkeeper Ebenezer Amoako Skelenzy had produced a double save to keep the opponent’s forward out.
Diminutive striker, Kevin Ohemeng Frimpong equalised 12 minutes later with a superb finish after goalkeeper Richard Obimpeh failed to deal with a cross from Ernest Adu.
Issah and Adu combined effectively as they dictated the pace in midfield.
Things continue to liven up in the second half after a penalty appeal on Kevin was ignored by the referee.
On the 70th minute, Eric Akoto shot wide with only Obimpeh at his mercy.
Theophilus 'Abega' Kissi made it 2-1 for the visitors and as they looked on course for a memorable win, the hosts pushed hard and found the equaliser.
GNA


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Extends
Members
(static) this.columns :Array.<{index:Number, title:String, colSpan:Number, cell: HTMLTableCellElement, ?refCell:HTMLTableCellElement}>
- Source:
table columns array
Type:
- Array.<{index:Number, title:String, colSpan:Number, cell: HTMLTableCellElement, ?refCell:HTMLTableCellElement}>
(static) this.data :Array.<{cell:HTMLTableCellElement, data: (?String|?Number), columnIndex:Number}>
- Source:
data Array
Type:
- Array.<{cell:HTMLTableCellElement, data: (?String|?Number), columnIndex:Number}>
(static) this.multidimensional :Boolean
- Source:
Whether data is monodimensional or multidimensional
Type:
- Boolean
(static) this.refSource :HTMLTableElement
- Source:
The floating header
Type:
- HTMLTableElement
(static) this.sorting :SortTable
- Source:
sorting object. See SortTable
Type:
- SortTable
(static) this.source :HTMLTableElement
- Source:
The source table
Type:
- HTMLTableElement
Methods
(static) dimensionalDataIterator(data, multidimensional, callbacknon-null)
- Source:
allows to perform action on data based on its multidimensionality
Parameters:
| Name | Type | Description |
|---|---|---|
data |
Array | full dataset. Instance of |
multidimensional |
Boolean | |
callback |
function | a function to be executed on a dimension of data. Callback is called with two attributes: |
(static) prepareDataCell(cell, rowIndex, columnIndex) → {Object}
- Source:
Extracts data from a given cell. Override in an inherited class if you need to add any metadata to it.
Parameters:
| Name | Type | Description |
|---|---|---|
cell |
HTMLTableCellElement | cell element to have data stripped off it |
rowIndex |
HTMLTableCellElement | index of the row it's in |
columnIndex |
HTMLTableCellElement | index of the column it's in |
Returns:
Returns an object {cell:HTMLTableCellElement, data:?String|?Number, columnIndex:Number}
(if data is absent in the cell or its text content boils down to an empty string - i.e. there are no characters in the cell, only HTML tags) it returns null in data
- Type
- Object
(static) reorderRows(data, source, multidimensional)
- Source:
This function takes care of repositioning rows in the table to match the data
array in the way it was sorted and if the data is separated into blocks, then move the block piece to the first row in each data block.
Parameters:
| Name | Type | Description |
|---|---|---|
data |
Array | full sorted dataset. Instance of |
source |
HTMLTableElement | source table |
multidimensional |
Boolean |


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Creating a trustworthy absolute URI is trickier than it sounds. Developers often resort to the exceedingly untrustworthy HTTP Host header (_SERVER["HTTP_HOST"] in PHP). Even otherwise-secure applications trust this value enough to write it to the page without HTML-encoding it with code equivalent to:
<link href="http://_SERVER['HOST']" (Joomla)
...and append secret keys and tokens to links containing it:
<a href="http://_SERVER['HOST']?token=topsecret"> (Django, Gallery, others)
....and even directly import scripts from it:
<script src="http://_SERVER['HOST']/misc/jquery.js?v=1.4.4"> (Various)
There are two main ways to exploit this trust in regular web applications. The first approach is web-cache poisoning; manipulating caching systems into storing a page generated with a malicious Host and serving it to others. The second technique abuses alternative channels like password reset emails where the poisoned content is delivered directly to the target. In this post I'll look at how to exploit each of these in the presence of 'secured' server configurations, and how to successfully secure applications and
Further research- More effective / less inconvenient fixes
- Automated detection
- Exploiting wildcard whitelists with XSS & window.history
- Exploiting multipart password reset emails by predicting boundaries
- Better cache fuzzing (trailing Host headers?)
If you're interested in automated detection of this issue, check out the ActiveScan++ plugin I made for Burp Suite. (Disclaimer: I work for PortSwigger). For a discussion of how this extension works, and a demo of web-cache poisoning against Typo3, see the following video from OWASP AppSec EU: ActiveScan++: Augmenting manual testing with attack proxy plugins.


Body on Mount Fuji confirmed as that of Tokyo man who livestreamed fall
SHIZUOKA – A body that was discovered last month on Mount Fuji has been confirmed to be that of a 47-year-old man from Tokyo who was livestreaming himself when he fell from the snow-capped summit.
Tetsu Shiohara, who died from injuries sustained in the fall, was using the Niconico livestreaming service, officers from the Gotenba Police Station in Shizuoka Prefecture said Tuesday. The rescuers discovered the body on Oct. 30 near the seventh station on the Subashiri trail of Mount Fuji, at an altitude of around 3,000 meters.
The police were contacted by people who saw Shiohara’s livestream on Oct. 28, and believe he was climbing the mountain alone.
The footage on Niconico showed him on top of Mount Fuji, saying his hands were numb from the cold and that he wished he had brought disposable heat packs. He said the trail near the top of the mountain was slippery and covered with snow. He then suddenly started sliding down what he had described as about a 30 degree slope, feet first with what looked like a hiking pole, in an accelerating descent, before the video came to a stop.
Climbing the tallest mountain in Japan from the fifth station to the summit is allowed from early July to Sept. 10. During other periods the trails and huts are closed, and climbing the mountain is prohibited in principle as it is “very dangerous,” the official website for Mount Fuji climbing warns.
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GluGo2.0 is a startup comprised of students at Wheaton College, in Norton MA. We build on the work of the machine learning team in GluGo. We're using machine learning to prototype predictive glucose algorithms, the kind that could be implemented in an integrated "closed-loop" system. We seek an algorithm that only utilizes sensor data, without sacrificing the accuracy and personalization of closed-loop algorithms. Such an algorithm could implemented in a sensor-linked alert system. This would sidestep many of the barriers to closed-loop systems by keeping glucose management in the hands of the user, while still providing valuable information about future glucose trends.
GluGo2.0 is a startup comprised of students at Wheaton College, in Norton MA. We build on the work of the machine learning team in GluGo. We're using machine learning to prototype predictive glucose algorithms, the kind that could be implemented in an integrated "closed-loop" system. We seek an algorithm that only utilizes sensor data, without sacrificing the accuracy and personalization of closed-loop algorithms. Such an algorithm could implemented in a sensor-linked alert system. This would sidestep many of the barriers to closed-loop systems by keeping glucose management in the hands of the user, while still providing valuable information about future glucose trends.
is a startup comprised of students at Wheaton College, in Norton MA. We build on the work of the machine learning team in GluGo. We're using machine learning to prototype predictive glucose algorithms, the kind that could be implemented in an is a startup comprised of students at Wheaton College, in Norton MA. We build on the work of the machine learning team in GluGo. We're using machine learning to prototype predictive glucose algorithms, the kind that could be implemented in an
Model Building We're currently exploring ARIMA, Markov Chain, and Support Vector Regression models to build an algorithm that can accurately forecast glucose highs and lows at least an hour into the future.
Data Scraping Scraped data from both Medtronic (.csv file from client) & Tidepool (.json file converted to a .csv file) datasets in order to produce an output .csv file containing timestamp, glucose levels (mL/dL), basal insulin (U/hr), insulin sensitivity (mg/dL/U), carb ratio (g/U), bolus insulin and carb input (g). During this process determined algorithms in order to match the carb intake and bolus insulin from the Medtronic data, and the basal insulin, insulin sensitivity and carb ratio from client's Tidepool account to the specific timestamps matching each glucose level read seen in the Tidepool database.
Prediction Accuracy We are accessing the accuracy of our machine learning model and comparing our predicting model to models used in other publications. Yun is also looking at a more detailed descriptive statistics in our data set to find hidden patterns for each GCM client so that we can personalize their algorithms based on their specifities.


@Provides fun providesCharactersFavoriteViewModel(characterFavoriteRepository: CharacterFavoriteRepository): CharactersFavoriteViewModel
Create a provider method binding for CharactersFavoriteViewModel.
characterFavoriteRepository
- Handler character favorite repository.
Return
Instance of view model.
See Also