|
3D Rendering Techniques and Algorithms
|
|
|
AbstractWe have observed that the tracing of individual pixels is an isolated task that walks through the environment using the environment in a mostly read-only fashion. The traditional lore is that ray-tracing is highly parallelizable, so we should be able to throw some extra threads at the problem with a multi-processor machine and get a big performance win. This is a short investigation of that. The InvestigationRay-tracing is computationally bound, so we would expect that running one thread per processor would give us the best performance. With fewer threads, some processors would be sitting idle. With more threads, there would be added thread management and context switching overhead trying to give all the threads equal processing time. Obviously, the OS and various services are still running while we render, so we don't expect that we could devote 100% of all processors to the rendering task. To test this I added sample-point dispatcher and sample point collector functions to the renderer and started the same number of rendering threads as processor threads on a 4 processor machine. The rendering threads actually run the dispatcher and collector functions, locking global resources for a very short time to perform that processing. The test machine had 4 700mhz pentium processors and 1 gb memory. The renderer was implemented in Java. This was the test scene:
Here is some background on the Java implementation - in rendering you tend to use zillions of temporary objects while computing the intersection of rays and surfaces. In C++, you can allocate those temporary objects on the stack as local variables. In Java you have to allocate them on the heap. I started out with two basic techniques: 1. Use new to allocate the objects as needed, let the garbage collector take care of the cleanup. 2. Use an object pool with 'borrow' and 'return' semantics so that temporary objects can be reused. This reduces the number of objects that are created and also avoids GC. Testing showed that object pooling gave about 20% better performance in a single threaded program. Not terribly exciting, significant if you were on a tight rendering schedule. Next, I add threading to the renderer as previously described. Imagine my surprise when adding threads actually reduced the overall performance with both memory schemes described above. Notice that at this point we are using a single global object pool accessed by all the threads, thus requiring synchronization between threads when using either new or the global object cache. Hmmm, I thought threads would make things faster, especially if you have multiple processors. In the last part of this story, a discussion of this problem in class resulted in an object cache per thread idea. In this case, the cache would not need to be synchronized because only one thread would ever be using it. Additionally, it would eliminate the wait condition if multiple threads were actually trying to get objects at the same time. With this per-thread object pooling, performance showed a dramatic increase as threads were added. With four threads on a four processor machine, the per-thread object pool is almost 30 times faster than the simple implementation using 'new' with four threads.
ConclusionWell, implementation details matter. Unfortunately, in this case we are contorting the implementation to get around the lack of local stack objects in Java, i.e. optimizing the implementation to sidestep the limitations of the language. I think of it as a development effort trade-off between the ease of programming in Java, and the cost of some of the easy to program optimizations that sidestep language deficiencies. I can get the basic functionality up and running very quickly, but often need to devote some (perhaps substantial) effort to performance later in the project. |


"AMNON "faithful. (1.) One of the sons of Shammai, of the children of Ezra (1 Chronicles 4:20; comp. 17). (2.) The eldest son of David, by Ahinoam of Jezreel (1 Chronicles 3:1; 2 Samuel 3:2). Absalom caused him to be put to death for his great crime in the matter of Tamar (2 Samuel 13:28, 29).
"AMNON "faithful. (1.) One of the sons of Shammai, of the children of Ezra (1 Chronicles 4:20; comp. 17).
(2.) The eldest son of David, by Ahinoam of Jezreel (1 Chronicles 3:1; 2 Samuel 3:2). Absalom caused him to be put to death for his great crime in the matter of Tamar (2 Samuel 13:28, 29).


Did you know that youture? Follow this link to find out how. www.nickneddo.com
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Nick Neddo refers to himself as the Organic Artist and has written a book by the same name. The Organic Artist by Nick Neddo is a pretty cool book and he shows you how to make ink pens (including a kind of marker), brushes, berry inks, paint from minerals (rocks), etc. It is an awesome book to read--and his website is interesting to.
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Nick Neddo refers to himself as the Organic Artist and has written a book by the same name. The Organic Artist by Nick Neddo is a pretty cool book and he shows you how to make ink pens (including a kind of marker), brushes, berry inks, paint from minerals (rocks), etc. It is an awesome book to read--and his website is interesting to.
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Nick Neddo refers to himself as the Organic Artist and has written a book by the same name. The Organic Artist by Nick Neddo is a pretty cool book and he shows you how to make ink pens (including a kind of marker), brushes, berry inks, paint from minerals (rocks), etc. It is an awesome book to read--and his website is interesting to.
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Nick Neddo refers to himself as the Organic Artist and has written a book by the same name. The Organic Artist by Nick Neddo is a pretty cool book and he shows you how to make ink pens (including a kind of marker), brushes, berry inks, paint from minerals (rocks), etc. It is an awesome book to read--and his website is interesting to.
Did you know that you can make your own eco friendly ink and ink pens from materials you can find in nature? Follow this link to find out how. www.nickneddo.com
Nick Neddo refers to himself as the Organic Artist and has written a book by the same name. The Organic Artist by Nick Neddo is a pretty cool book and he shows you how to make ink pens (including a kind of marker), brushes, berry inks, paint from minerals (rocks), etc. It is an awesome book to read--and his website is interesting to.


Here is a list of Dr. Thomas' Top Ten Achievements:
She graduated in with an engineering degree from Government Engineering College, Thrissur.
She earned an M. Tech in Guided Missile from the Institute of Armament Technology, Pune, which is now known as the Defense Institute of Advanced Technology.
While earning her M. Tech, Dr. Thomas designed an advanced missile system, which was one of the major movements in India, in research and defense sector.
Thomas was the Associate Project Director of 3,000 km range Agni-III missile project.
She was the Project Director for mission Agni-IV which was successfully tested in 2011.
Dr. Thomas was appointed as the Project Director for 5,000 km range Agni-V. The missile was successfully tested on April 19, 2012.
Tessy was honored with the Lal Bahadur Shastri National Award for her outstanding contribution to the field of missile technology.
Dr. Thomas was awarded D.Sc.(Honoris causa) by ITM University, Gwalior in 2016
The Indian Women Scientists' Association honor her with tribute, saying Tessy Thomas serves as a role model, being a mother and a scientist who is determined to achieve her dreams.
She is honored with titles, such as "Angi Putri" and "Missile Woman of India"
"She is an example of a woman making her mark in a traditionally male bastion and decisively breaking the glass ceiling."
If you have time, you should read more about this inspiring leader on her Wikipedia entry.


Timer: 0
Try to answer the following code-related questions within the time limit. Keep in mind that incorrect answers will penalize your score/time by fifteen seconds!


| Interface | Description |
|---|---|
| Atom |
Object representation of a single atom.
|
| Bond |
Object representation of a Bond between
two
Atom s. |
| BondTable | |
| ChemicalSource | |
| DoubleBondStereochemistry |
CIS or TRANS
A X
\ /
C = C
/ \
H H
|
| ExtendedTetrahedralChirality |
An Allene like Stereocenter configured
with a Carbon in the center, connected to
2 terminal atoms by double bonds
and each terminal atom connected to
at most 2 peripheral atoms.
|
| GraphInvariant |
The Graph Invariant data for a specific
Chemical . |
| PathVisitor | |
| SGroup | |
| SGroup.SGroupBracket | |
| Stereocenter |
A candidate for
a stereo center (Stereogenic) not all stereocenters
are necessarily present, see
Stereocenter.isDefined() . |
| TetrahedralChirality |
| Class | Description |
|---|---|
| AtomCoordinates | |
| Chemical |
Represents a Molecule and the contained
atoms and bonds.
|
| ChemicalBuilder | |
| ChemicalSource.CommonProperties | |
| FileSource | |
| ImplUtil |
Utility class to get the spi implementation
that is used.
|
| MolWitch | |
| SmartsSource | |
| SmilesSource |
| Enum | Description |
|---|---|
| Bond.BondType | |
| Bond.DoubleBondStereo |
Possible stereo types of two-atom bonds depending
on which atom in the bond is the stereo center and
which direction the bond is.
|
| Bond.Stereo |
Possible stereo types of two-atom bonds depending
on which atom in the bond is the stereo center and
which direction the bond is.
|
| Chemical.OpticalActivity | |
| Chemical.StereochemistryType | |
| ChemicalSource.Type | |
| Chirality | |
| DoubleBondStereochemistry.DoubleBondStereo |
Possible stereo types of two-atom bonds depending
on which atom in the bond is the stereo center and
which direction the bond is.
|
| SGroup.PolymerSubType | |
| SGroup.SGroupConnectivity | |
| SGroup.SGroupType |
| Exception | Description |
|---|---|
| MolwitchException |
Copyright © 2021 NIH/NCATS. All rights reserved.


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author="CyberZHG",
<EMAIL_ADDRESS>description="BERT implemented in Keras",
long_description=open("README.rst", "r").read(),
install_requires=[
"numpy",
"keras",
from setuptools import setup, find_packages
with codecs.open("README.md", "r", "utf8") as reader:
long_description = reader.read()


Sampling Strategies
- class sweetpea.Gen
Abstract class for a sampling strategy (i.e., a generator of trials).
A subclass of
Gen
can be used instead of an instance to mean the same sampling strategy as an instance with default arguments.Uniformity: Different subclasses of Gen provide different guarantees about coverage of the space of possible trial sequences. A guarantee of uniformity means that is a single trial sequence is requested via
synthesize_trials()
, the generated sequence is chosen randomly among all trial sequences that fit the constraints of the experiment definition, and all such trial sequences are eqaully likely to be reported.Replacement: Different subclasses of
Gen
provide different behaviors when multiple trial sequences are requested with a single call tosynthesize_trials()
. Some strategies sample with replacement, producing independently chosen results. Others sample without replacement, which means they are potentially capable of counting the total number of trial sequences that satisfy the experiment’s constraints.
- class sweetpea.UniformGen
Automatically selects among strategies that provide uniformity.
Uniformity: Generates trials with a guarantee of uniformity, a long as only one trial sequence is requested at a time.
Unspecified Replacement: Generating multiple trials sequences in a call to
synthesize_trials()
may or may not produce independent results.
- class sweetpea.IterateGen
Automatically selects among strategies that implement non-replacement for a single request of multiple experiments, but the strategy may or may not provide uniformity for a single experiment.
Unspecified Uniformity: Might not sample uniformly among possible experiments.
Without Replacement: Generating multiple trials in one call to
synthesize_trials()
produces a list of distinct trial sequences. The number of returned experiments will be less than the requested number if the pool of possible trial sequences is exhausted.
- class sweetpea.UniGen
Uniformity: Generates trials with a guarantee of uniformity. Unfortunately, due to the difficulty of sampling with a guarantee, this stategy is unlikely to succeed for non-trial designs.
Replacement: Generating multiple trials in one call to
synthesize_trials()
produces independent results. That is, the single call is the same as separate calls that each generate one sequence of trials.
- class sweetpea.CMSGen
Quasi-Uniformity: Generates trials that appear to be uniformly chosen based on the available technology for detecting non-uniformity. This strategy may perform well in terms of sampling possible configurations, despite a having no formal guarantee of uniformity.
Replacement: Generating multiple trials in one call to
synthesize_trials()
produces independent results. That is, the single call is the same as separate calls that each generate one sequence of trials.
- class sweetpea.RandomGen(acceptable_error=0)
Uniformity: Generates trials with a guarantee of uniformity. Constraints or derived factors with a window greater than 1 can force generation to use rejection sampling, which may fail to find instances in a reasonable time if the search space is large.
Without Replacement: When multiple trials are generated in one call to
synthesize_trials()
, each of the results is constrained to be distinct. The number of returned experiments will be less than the requested number if the pool of possible trial sequences is exhausted.- Parameters
acceptable_error (int) – With derived factors in the crossing, a number of combinations with those levels that are allowed to be missing (in which case other combinations will be duplicated); this parameter weakens the rejection step of rejection sampling, which can be useful when samples that match all constraints of the experiment prove difficult to find
- class sweetpea.IterateSATGen
Non-Uniformity: Generates trials by repeatedly finding solutions to an experiment design’s constraints, but with no guarantee of uniform coverage or even randomness (i.e., each separate use of
synthesize_trials()
with this stragegy may produce the same result).Without Replacement: When multiple trials are generated in one call to
synthesize_trials()
, each of the results is constrained to be distinct. The number of returned experiments will be less than the requested number if the pool of possible trial sequences is exhausted.
- class sweetpea.IterateILPGen
Like
IterateSATGen
, but uses Gurobi and requires that thegurobipy
package has been installed.Non-Uniformity: Generates trials by repeatedly finding solutions to an experiment design’s constraints, but with no guarantee of uniform coverage or even randomness (i.e., each separate use of
synthesize_trials()
with this stragegy may produce the same result).Without Replacement: When multiple trials are generated in one call to
synthesize_trials()
, each of the results is constrained to be distinct. The number of returned experiments will be less than the requested number if the pool of possible trial sequences is exhausted.


For immediate release
|
The Federal Open Market Committee decided today to lower its target for the federal funds rate by 50 basis points to 3 percent. In a related action, the Board of Governors approved a 50 basis point reduction in the discount rate to 2-1/2 percent. The Federal Reserve will continue to supply unusually large volumes of liquidity to the financial markets, as needed, until more normal market functioning is restored. As a consequence, the FOMC recognizes that the actual federal funds rate may be below its target on occasion in these unusual circumstances. Even before the tragic events of last week, employment, production, and business spending remained weak, and last week's events have the potential to damp spending further. Nonetheless, the long-term prospects for productivity growth and the economy remain favorable and should become evident once the unusual forces restraining demand abate. For the foreseeable future, the Committee continues to believe that against the background of its long-run goals of price stability and sustainable economic growth and of the information currently available, the risks are weighted mainly toward conditions that may generate economic weakness. In taking the discount rate action, the Federal Reserve Board approved requests submitted by the Boards of Directors of the Federal Reserve Banks of Richmond, Chicago, Minneapolis, Dallas, and San Francisco.
Home | News and events Accessibility Last update: September 17, 2001 |


Cutting edge web applications to help strengthen your corporate workflow or online portfolio. We have experience building and maintaining corporate-scale applications to add automation, and increase your team's productivity. We can also add online customization capabilities to your products. We make sure that you can focus on growing your business the way you desire, without being limited by your digital backbone.
Leave the worry of reliability to us. With high amounts of visitors per day, we make sure your applications are always functioning; providing a smooth experience for your customers. No one likes to lose business over a broken website, don't let it happen to you. With experience building clusters and load balancing, your application will be of the highest caliber and readily available. Spread your application around the world to allow everyone the best experience possible.
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标题
回收量{$ip.data}


--- title: Write run metadata type: docs repo: https://github.com/rstudio/tfruns menu: main: name: Write run metadata - tfruns parent: tfruns-reference aliases: - /reference/tfruns/write_run_metadata.html - /tfruns/reference/write_run_metadata.html - /guide/tfruns/reference/write_run_metadata.html - /tools/tools/tfruns/reference/write_run_metadata.html - /installation/tfruns/reference/write_run_metadata.html - /tutorials/tfruns/reference/write_run_metadata.html - /guide/tools/tfruns/reference/write_run_metadata.html - /deploy/tfruns/reference/write_run_metadata.html - /tools/tfruns/reference/write_run_metadata.html - /tutorials/tools/tfruns/reference/write_run_metadata.html ---
Record various types of training run metadata This function can be called even when a run directory isn't active (metadata will only be written if and when a run directory is initialized).
write_run_metadata(type, data, run_dir = NULL)
| type | Type of metadata to write. Standard types include "flags", "sources", "properties", "metrics", and "evaluation". You can also specify a custom type (see Custom Types section below). |
| data | Metadata to write:
|
| run_dir | Run directory to write metadata into (defaults to currently active run) |
write_run_data()
is deprecated and is provided as an alias
for backward compatibility.
Metrics should be passed as a data frame with one column for each metric.
If the metrics are not yet complete (e.g. only metrics for the
first several epochs are provided) then metrics in yet to be completed
epochs should use NA
as their values. For example:
data.frame': 30 obs. of 4 variables: $ loss : num 0.423 0.201 NA NA NA ... $ acc : num 0.873 0.942 NA NA NA ... $ val_loss: num 0.174 0.121 NA NA NA ... $ val_acc : num 0.949 0.964 NA NA NA ...
If both metrics and validation metrics are provided, you should preface the
name of the validation metric with "val_"
(e.g. for a metric named "loss"
provide validation metrics in "val_loss"
). This indicates that the metrics
are related which is useful e.g. when plotting metrics.
You can pass a type with an arbitary name along with a function that
should be used to writes the data. The function will be passed a
single data_dir
argument. For example:
write_run_metadata("images", function(data_dir) { # write into data_dir here })


Metrics¶
The ThreatConnect ™ TcEx App Framework provides an simple interface for Creating and adding metrics in Apps. The TcExMetricsV2
module will automatically create the Metric if it does not already exists in ThreatConnect. The Metric Name is a unique field in the ThreatConnect platform. For more information on ThreatConnect Metrics see the docs at https://docs.threatconnect.com/en/latest/rest_api/custom_metrics/custom_metrics.html#custom-metrics.
Metrics Instance¶
The tcex.metrics()
method has required fields of name, description, data_type, interval, and keyed as parameters.
1 | metrics = tcex.metric('My Metrics', 'Metric Testing', 'Sum', 'Daily', False)
|
Add Metrics¶
The add()
method has a required field of value. It also accepts an option fields for date, return_value, and key. If no date is provided the current datetime will be used. The return_value field will tell the API to return the value for the current interval. The key arg is only used for Keyed Metrics or the add_keyed()
method can be used.
1 2 | metrics = tcex.metric('My Metric', 'TcEx Metric Testing', 'Sum', 'Daily', False)
metrics.add(123)
|
Add Keyed Metrics¶
The add_keyed()
method has a required field of value and key. It also accepts an option fields for date, and return_value. If no date is provided the current datetime will be used. The return_value field will tell the API to return the value for the current interval.
1 2 3 | metrics = tcex.metric('My Keyed Metric', 'TcEx Keyed Metric Testing', 'Sum', 'Daily', True)
address_results = metrics.add(100, key='Address', date='2019-03-28T12:25:40Z', return_value=True)
host_results = metrics.add(99, 'Host', '2019-03-28T12:25:40Z', True)
|


| Ordered Item: | HEPARIN (5,000 Units/mL) 1 mL SDV (Heparin SubQ 5,000 units/mL) |
| Details: | 5,000 Units, Inj, SubQ, q8hr(6a-2p-10p), Routine, Duration: 60 Day, Start date: 09/13/12 14:00:00, Stop date: 11/12/12 13:59:00 |
| Commment: | Give in abdomen, alternate injection site. Do not give within 2 inches of umbilicus. |
| Ordered By: | Test , Physician |
| Communication Type: | Written |
| Status: | Ordered |
| Start Date/Time: | Sep 13, 2012@14:00 |
| Stop Date/Time: | Nov 12, 2012@13:59 |
| Stop Type: | Hard Stop |


About
I am currently attending Flatiron School where I am learning programming fundamentals (HTML & CSS, OOP, Ruby, SQL, ORM), web frameworks (Sinatra, Rails), JavaScript, and front-end frameworks (React, Redux, JSON).
I have a Bachelor of Science Degree in General Studies with an emphasis in Natural and Social Siences from the University of Nebraska at Kearney in Kearney, Nebraska.
I am 41 years old. I have one adult daughter, an adult stepdaughter, who is married with two children, a teenage step-daughter and two adult stepsons. My husband is a machine programmer.


The Topics tab shows all in ROS master registered subscriber and publisher. The count of these is shown in Publisher and Subscriber columns. The type of the ROS topic is also displayed. If a node is selected the corresponding topics will be selected. To get more information to the topic you can use Description Dock.
You can search for a topic respectively his type using the filter row at the top.Topic control buttons:
| Subscribes the topic and shows his output in a dialog. To reduce the load while printing the messages the length of array and strings is reduced to 80 signs. By default the received messages often as 10 Hz will be skipped. You can increase this values, if needed. 0 disables the limits. There are some other filter settings, which can be changed at runtime. | |
| Subscribes the topic and shows only Hz of received messages | |
| Connects via SSH to remote host and subscribe the topic locally to avoid network load. Shows Hz output of rostopic. | |
| Start publishing a message to selected topic. Only available on local ROS Master. Use master_sync to publish to remote topics! |
|
| Restart publishing a message to selected topic with last parameters. This button only visible if a publisher was started previously and only in desciption dock. |
|
| Stops own publishing to selected topic. |


What happens if I flip Ransack to alt mode and there are no damaged characters?
In that case, nothing happens. No damage counters are put on Ransack.
What happens if the only damaged characters are enemies? Can I choose one of my characters and
do nothing?
Yes. You choose any other character, damaged or not. Then move 2 damage counters from that
character onto Ransack fi you can.
How does Ransack’s ability work with Actions or Upgrades that raise his attack?
Ransack’s ability sets his base attack value, what you’d see printed on the card if it didn’t change.
From there, Actions and Upgrades can raise that value. For example, if Ransack has 5 damage counters,
his base attack would be 5. If he then got a Weapon that gave him +2 attack, his attack would be 7. This
wouldn’t change the number of damage counters on him.


- All
- Action
- Adventures
- Comedy
- Drama
Wonder Woman
An Amazon princess comes to the world of Man to become the greatest of the female superheroes.
Wed, 28 Jun 16:00 (2h 15m)- available
- taken
screen
Total $0
An Amazon princess comes to the world of Man to become the greatest of the female superheroes.
Wed, 28 Jun 16:00 (2h 15m)


adapted from meetville.com
This is your final assignment if you want to get ECTS points for this course. You will use all we learned during the course to understand, arrange, analyse, visualise and report on a new dataset about medical appointments. If you are not into ECTS points you can still take a swing at the project - it will have some new challenges for you!
What is the dataset about? There is a large number of medical appointments where patients end up canceling or simply do not show up. This practise comes with costs to the medical system - in this assignment we will try to understand what drives patients not to show up in a sample of medical appointments from Vitoria, Espirito Santo, Brazil.
 It should already have the folders 1_Data
and 2_Code
. Make sure that the data files listed in the Datasets
section above are in your 1_Data
folder.
Open a new R script. At the top of the script, using comments, write your name and the date. Save it as a new file called final_project.R
in the bernrbootcamp
folder.
Using library()
load the set of packages for this practical listed in the packages section above.
Read the appointments.csv
and the weather.csv
files into two objects called appointments
and weather
respectively. Check out the content of the two datasets in Overview and Datasets above.
We want to first see what variables are in the dataset (check out Datasets above) and whether there are variables with impossible values. Generate an overview of all variables with minimum and maximum values, means and medians for all appropriate numeric variables. Correct the variable(s) that stand out and provide a rational for what you did. Also rename Hipertension into Hyptertension and Handcap into Handicap.
How many patients showed up for their appointment(s), how many did not?
How many patients are female, how many are male? Who (PatientID) has the most number of appointments? Split that analysis (most number of appointments) for gender.
Generate a simple plot with the age of all patients.
Summarise the number of particiants per age in years (range: range(appointments$Age)
) for the whole appointments
dataset. Generate a line graph showing the distribution of patients per age. Now split this graph into two rows with Female|Male and two columns with Show|No-Show - this will give you an age distribution with four panels.
Generate a new variable age_group
which includes four groups [1:4] where 1: ‘children’ between 0 and 18 years, 2: ‘young adults’ between 19 and 30 years, 3: ‘adults’ (31:50 years) and 4 ‘old adults’ (51:max(Age))
Plot the four age groups on the x-axis and the size of the groups on the y-axis (call this variable: number_cases). Connect the points with a line graph, separated for gender. Facet the graph into two parts, with noshow
‘No’ on top and nowshow
‘Yes’ on bottom. So ultimately you should have 4 lines, 2 in each panel.
We want to explore the time difference between making an appointment and actually having an appointment a little more. Using the lubridate()
package extract Year-Month-Day from ScheduledDay
and write this date information (without time) into a new variable ScheduledDate
(Hint: date()
). Convert AppointmentDay
to the date class, too. We want to get the distribution of time between scheduled appointment date and actual appointment day - write this difference (in days) in a new variable called time_diff
. There are some appointments with a negative time_diff
. We assume that these are based on typos - remove them from the dataset.
Categorize lead days - we now want to categorize the time_diff
variable into a new varialbe called lead_days
with five categories: ‘0 days’, ‘1-2 days’, ‘3-7 days’, ‘8-31 days’, ‘32+ days’.
Weather could have a strong influence for going to the doctor. The weather
tibble provide information about the weather in Vitoria.We will join the two datasets adding RH2M
, T2M
and PRECTOT
from weather
to appointments
. You want to join these by AppointmentDay
(from appointements
) and YYYYMMDD
(from weather
) - Hint: left_join()
. Call the new dataset: full_df
.
Check that you full_df
dataframe has the following dimension:
Generate a new file with File - R Markdown - Document
(with the default: HTML). Save this file to your BernRBootcamp
folder.
Document your 3 central insights out of this dataset. Describe what the insights are with your own words and document them with figures, statistics and tables produced with R code in your Marddown file FinalReport.html
.
Generate a new file with File - R Markdown - Presentation
(with the default: HTML Isoslides). Save this file to your BernRBootcamp
folder FinalPresentation.html
.
Prepare a 15 minute presentation documenting your approach to the Document your 3 central insights out of this dataset. Describe what the insights are with your own words and document them with figures, statistics and tables produced with R code in your Marddown file.
| File | Rows | Columns | Description |
|---|---|---|---|
| medical_noshows.csv | 110527 | 14 | Patient shows |
| wheather.csv | 41 | 10 | Weather data for Vitoria Brasil |
| Variable | Description |
|---|---|
| PatientId | ID of a patient |
| AppointmentID | ID for each appointment |
| Gender | Male or Female |
| ScheduledDay | The day of the actual appointment, when patients have to visit the doctor |
| AppointmentDay | The day someone called or registered the appointment, this should be before the appointment |
| Age | How old is the patient |
| Neighbourhood | Where the patient was born |
| Hipertension | True or False |
| Diabetes | True or False |
| Alcoholism | True or False |
| Handcap | Hanicapped - level 1:4, 1 lowest level |
| SMS_received | True: 1 or more messages sent to the patient |
| No-show | 1: No, 2: Yes |
| Variable | Description |
|---|---|
| LON | Longitude |
| LAT | Latitude |
| YEAR | Year |
| MM | Month |
| DD | Day |
| DOY | Day of Year |
| YYYYMMDD | Date |
| RH2M | Relative Humidity at 2 Meters |
| T2M | Temperature at 2 Meters |
| PRECTOT | Precipitation |
| Package | Installation |
|---|---|
tidyverse |
install.packages("tidyverse") |
lubridate |
install.packages("lubridate") |
tidylog |
devtools::install_github("elbersb/tidylog") |


 Enroll them in our Friday STEAM Camps! The camps will have a different STEAM (Science, Technology, Engineering, Arts, Math) focus each week. As an added bonus, students will have time to work on homework and receive tutoring help from staff!
Does the cold never bother you anyway? Channel your inner Elsa and learn all about the science of that amazing white stuff that falls from the sky! Students will learn how to make “snow” at home, what causes snow, and so much more! Zip up your coat and slide on some googles as you’ll learn the science in snow.
Did you know most roller coasters do not have an engine? They move using physics! Get ready for a wild, fun day where EUREKA! will immerse you in all the secrets to the physics of amusement parks! Learn the engineering and physics behind your favorite amusement park ride so next time you are there you can wow your friends with all you know!
Calling all young zoologists! From barnyard animals to household pets, there are a lot of animals to explore! Join the EUREKA! staff as we dive into the Animal Planet to discover the world of zoology - how animals adapt to their environment and about the scientists who study and care for them. Students will even get the chance to learn about some of the animals we have right here at EUREKA!
What exactly is a heartbeat? What propels our bodies when we jump? Are there really butterflies in your stomach when you get nervous? Exercise your brain and body at EUREKA! In this camp you will learn the anatomy of your own body and find out the mechanisms behind motions you perform.
Have you ever looked at a toilet paper tube, pipe cleaners, and an old newspaper and thought, I can make some cool art with this! If so this camp is for you! You will summon your inner engineer and artist, spending the camp designing and decorating cool art. In this camp one man’s trash will be repurposed into your own treasure!


{% extends 'account/base.html' %} {% load staticfiles %} {% block title %}Login | {% endblock %} {% block try_oxd %}
*All fields are required unless stated as optional.


The day came. I was so impatient, that I was there quite early; she arrived some hours earlier than she had said, and seemed surprised at finding me; my impression is that she did not want me to be there when she came back. She came in a hackney-coach; a stoutish full-sized young woman with a funny bonnet and long cloak on, got out of the coach with her, and in a free-and-easy way helped the things upstairs. She called her Louise. The wench put down a big box, and on my turning round after giving Camille a kiss, I saw she had seated herself on it, and hands on her knees was looking at me. "Uncord the box," said Camille. Said the girl, "I am tired." She uncorded it, again sitting down, and looking at me said, "Is that your young man?—he's a good-looking fellow." Camille told her to hold her tongue, to go on unpacking, and that I understood French, eying her at the same time in a savage way, and looking at me at times very uneasily. She was a rough sort of girl, she said, a relative of a friend of hers, had come as her servant, and in a short time would understand her place; smiling at me in a knowing way as she said that. Camille always addressed her servant in French, me in English; but I understood French tolerably well.
Louise did as she was told, but bounced about in an independent way, threw off her cloak and bonnet, and putting her hands on her hips stared at me again. I stared at her, thinking of the virginity I was destined to break up.
I did nothing but stare at her, Camille nothing but scold her, talking to me at intervals. The girl got the boxes ready for opening, then walked about, taking up poker and tongs, chimney ornaments and everything in the room with curiosity. Camille and I had so much to say, that we took little notice of her; then she threw up the window and looked out. As she bent forward her short petticoats showed her legs up to her knee-backs; Camille was about to stop her looking out, when I winked, and stooping saw a thick roll of stockings just beneath the knees, and the flesh just above. Camille understood. "Madame, madame," said the girl, "come here, here is fun." I heard Punch squeaking in the streets; she was delighted; her mistress went to the window giving me a knowing look, and looking out of the window with the girl, put her hands over the girl's petticoats and lifted them slightly. Louise took no heed of this being so engrossed with Punch; I dropped on my knees and saw half-way up the girl's thighs.
With half my spendings outside, half inside I lay with throbbing prick, which only came out when it had spent again. Camille vowed she had not had a man for weeks, and took it out of me, perhaps fearing if I went away with stiffening left, some other cunt would take it out. The ballocking over I went home.
I was early there the next day; Louise had been installed in the little room leading out of the sitting-room. Camille told me a great deal about the distance she had gone, and the trouble and expense she had been put to in getting the girl's relatives to let her come; she hoped I would pay the additional expenses; and that I did at a cost of about twenty pounds. What with that and paying for her journey, and for lodgings while absent, Louise had cost me nearly ninety pounds already. Then I undertook to pay for the additional room, in which a bed having been put, an extra was charged; cooking now being done downstairs. Then Louise must have a new gown; then Camille thought I ought to give her something for herself, because whilst away for me she had made no money. That I refused and blazed up about it; for all that agreed to pay for a new silk dress for her, and a lot of little odds and ends on the second day of Camille's return, for all of which outlays I had only had a peep up the girl's petticoats.
Then I had a talk about her. The girl was the daughter of a small grape-grower, a friend of Camille's; they thought Camille was in London as a dressmaker, making a lot of money, because she sent money home to her father. Camille offered to take her, saying she would be sure to get on, if not in one way, then in another; that good-looking girls always did well in London. The girl was mad to come, and persuaded her parents to let her do so; believing that Camille got her living honestly; she was to be her servant until she could be put in the way of doing well.
"What are you going to tell her now? what are you going to do with her? what will she say when she finds out?" I asked.
Camille did not know. The girl would find out, and then she must excuse herself as well as she could, would say it was better, and jollier, and more money making than to make dresses. Besides, the girl could not help herself, and would have to make the best of it.
When was I to have her? I asked. As soon as I could get her; there she was, and I might try when and how I liked; help me more she could not, she could not insist on Louise letting me; but no doubt she would in time, no one else should have her.
I was not so sure of that. Camille was gay, and although I had for more than a year excluded most men from the house, yet she did have other men there, and I knew they would see the girl, might like her, might pay Camille; all the remarks of the retired major came strongly before me, and I thought I was going to be sold, and said so.
She replied that I was not; she would leave me with the girl when I liked; if the girl spoke to her she would advise her to let me, but would have nothing to do with influencing her beyond that; and when the event came off, she meant to be out, so that Louise's friends could not say anything. If she went gay it was no fault of hers, young women would have it done to them, it was natural. That was the game she meant to play.
I saw that I had paid her only for bringing a girl, and must take my chance of getting into her; all she would do was to keep the coast clear. I don't know what I really did expect Camille to do, but think I imagined that she would have got the girl in bed with her some night, let me get into bed with them, and helped to make her fuck, if she would not. This was dissipated, I was to have the chance I should have had with a servant in my mother's house, or less, for this girl I should not see so often, and could not be sure she would be so well looked after.
So Camille went out, leaving me alone with the servant whenever I wished. I expect she went with other men at houses of friends, and so got her time paid for twice over, and made a good thing of it; perhaps she thought, the longer this lasted the better it would be for her. I think now that that was her game.


Grading
Turning in work and late policy
Late reports
will receive no credit and they are due on the day
before the lecture where we discuss the material. For
anything that you turn in, we will use Canvas.
Cheating policy
I have a no tolerance policy on cheating, which includes
copying from friends and plagarism. If you get caught
cheating, you will get an F in this class and I will
turn you into the univerisity's academic integrity
group.
Quizzes
I will give you full credit on your
lowest quiz grade for the quarter. That way, if you need
to miss a class and there is a quiz, you won't be
penalized. If you take all of the quizzes, I will
replace your lowest quiz score with full credit.
Leading a lecture
My goal is for all of you to
get full credit for leading a lecture! Here's how I will
break down the points for your grade when you lead a
lecture:
-
(1/3 of total) -- pick meaningful optional
reading. Should have 2-3 optional reading items and
a few sentences about each that explains why you
picked them. Please post the sentences to
Canvas.
-
(1/3 of total) -- The presentation itself (should be
5-10 minutes long) that goes over (1) background on
the required reading, (2) a balanced view of the
issue at hand, and (3) a summary of the optional
reading and why you picked it.
-
(1/3 of total) -- In class discussion. Create good
questions, make sure there is a lively discussion.
As a challenge to the entire class: come prepared to
class so that you can discuss the topics in a lively
debate. Since your grade depends on it, please do make
sure that you come to class prepared to debate.
Final paper
Your final paper is worth 20% of
your final grade, here is how I will break down the
points:
- (5 points) -- Explanation of technology
- (5 points) -- Explanation of ethical issues with that technology
- (5 points) -- Depth of research
- (5 points) -- Organization, flow, grammar, style, etc.
Grade breakdown
Your grade will be composed of the following items:
| Item |
Percent |
Description |
| Class participation | 10% |
You are expected to participate in all of the
classroom discussions, and I am hoping that you
will express your views. Your grade for
participation is based on attendance to discussion
section, where you will get 2% per discussion
section for showing up, for a total of 10% of your
total grade + 2% extra credit (there are six
discussion sections total this quarter).
|
| Quizzes and reports | 20% |
You will turn in three brief reports (1-2 pages)
on the reading material, due the day before the
class during which we discuss the material (4%
each for 12% of your total grade) + eight in-class
quizzes (not announced, worth 1% of your final
grade each for a total of 8%).
|
| Final paper | 35% |
Your final paper will be approximately 2000 words
long using a format that I will specify.  Your final presentation
will be at the end of the quarter and will
summarize your final report.
|
Grade scale
I grade on a straight grade scale. Although most of the
points in this class will come towards the end of the
quarter, the milestones will help give you a sense of
how well you are doing on the final project.
| Grade |
Score |
| A | [93, 100] |
| A- | [90, 93) |
| B+ | [87, 90) |
| B | [83, 87) |
| B- | [80, 83) |
| C+ | [77, 80) |
| C | [73, 77) |
| C- | [70, 73) |
| D | [60, 70) |
| F | [0, 60) |