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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Theorems.html ---
Hi guys do you know how types can somehow be theorems? E.g. strong_indefinite_description in classical.
There is nothing preventing you from marking a type as a theorem, or a prop as a def
Usually we stick to theorem
or lemma
for things in Prop
and def
for things in Sort
or Type
, though, for a few reasons. The VM will not generate code for theorem
s, and this will affect downstream definitions as well, so that is one reason; it is not a problem with strong_indefinite_description
because this theorem is not computable anyway. Also a theorem
is never unfolded, which is almost never necessary for a Prop
because of proof irrelevance but is often important for def
s since we may want to prove theorems about the def later. Here it is not a problem in strong_indefinite_description
because the definition is supposed to be arbitrary in its type, so unfolding should never be necessary.
Ok that makes sense, thanks a lot!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Enter Your Details Step By Step and Complete Your Information filling , A conformation Email Will be send To you !
E-Summit is the annual flagship event of E-Cell , MMMUT , to foster entrepreneurial initiatives and activities in the campus. E-Summit provides a platform for the ‘aspiring entrepreneurs’ to have hands-on experience before they can finally enter the market. It brings together the academic community, venture capitalists, new age entrepreneurs and all those passionate about entrepreneurship to a common ground.
This event provides an avenue to exhibit their entrepreneurial talents, creativity, innovation through various associated happenings
Start-up Show-Case cum Exhibition
Networking Sessions
Workshops
Competitions
Talks by Start-ups and Venture Capitalists
Special Talks by Entrepreneur MMMUT Alumni
Entrepreneurship Development Cell of MMMUT conduct evening classes on the theme “Design and User Experience as a major role in Start-ups”. The classes will be free of cost and open to all the students of the university. The program will be focusing on direct practical approach of UX Design including hands-on practice on software applications (Photoshop, Illustrator, PowerPoint and Aftereffects) which helps in designing. On completion of the classes the students will be awarded with the certificates of introductory course completion in UX Design from Entrepreneurship Development Cell.
Ullam dolorum iure dolore dicta fuga ipsa velit veritatis
Ullam dolorum iure dolore dicta fuga ipsa velit veritatis
This mega-event entails several individual activities/events with each one intending to forge and refurbish a unique entrepreneurial skill in the students.
Ullam dolorum iure dolore dicta fuga ipsa velit veritatis
Ullam dolorum iure dolore dicta fuga ipsa velit veritatis
These workshops usually feature an experienced entrepreneur-practitioner as a guest speaker and allow for learning key entrepreneurial concepts and practices and for networking with like-minded people.
E-Cell organizes various seminars and speaking sessions regularly which provide expert advice, insight and guidance to those who wish to start and scale their own ventures and make them aware of the emerging trend of startups.
These are inspirational and motivational sessions, featuring high profile guests who share their experiences, opinions and advice in a chat show format. Also, the students are informed about the prerequisites of startups and solutions are given to their queries


Issues
| # | Summary | Product | Status | Kind | When |
|---|---|---|---|---|---|
| 307 |
REQUEST: Control another user's iTunes |
Synergy | open | feature request | Created , updated |
| 306 |
CPU Usage stuck at 10-15%, even when not playing iTunes |
Synergy Advance | closed | bug | Created , updated |
| 305 |
REQUEST: Copy current track details to clipboard or log file |
Synergy | open | feature request | Created , updated |
| 304 |
REQUEST: Support for "playlist folders" (new in iTunes 5) |
Synergy Advance | open | feature request | Created , updated |
| 303 |
REQUEST: Ability to run non-compiled, non-application AppleScripts as "Track Change Items" |
Synergy Advance | open | feature request | Created , updated |
| 302 |
Genre Info in Floater |
Synergy | closed | bug | |
| 301 |
Floater iTunes feature request |
Synergy | closed | feature request | |
| 300 |
REQUEST: Hot key/menu item/button to disable Hot Keys |
Synergy | open | feature request | Created , updated |
| 299 |
Amazon Access |
Synergy | closed | bug | |
| 298 |
REQUEST: Option to do "play" and "pause", but never "playpause" |
Synergy Advance | closed | feature request | Created , updated |


Another 21 year old CS Student rambling and writing code.
I’m Eyad (E-add), a 21 year old computer science student at George Mason University. I’m not really sure what I want todo but I’ve spent most of my time doing full-stack web development, devOps, and data science. This is my blog where I ramble about tech I’ve messed with and other things I find interesting.
Work I’ve done
- Intern @ Asurion Summer 2019
- Full-stack web-dev (python/django)
- Data analytics
- Intern @ FireEye Summer 2018
- Python, splunk
- Data analytics
- Instructor @ Mindframe Education Summer 2017 - Summer 2018
- Wrote python, iOS, java, cybersecurity, and robotics curriculum
- Coached FLL robotics
SRCT
I joined Mason’s Student Run Computing and Technology in Fall 2016 and have been an active member since. During this time I’ve become the project manager of What’s Open iOS, and helped create a working relationship with SRCT and Mason’s Auxiliary Enterprises. In this relationship, the Auxiliary Enterprises makes use of our What’s Open website as their official manner to display hours for locations around campus, and we maintain What’s Open. Auxiliary Enterprises also advertises the iOS, Android, and webpage on their advertising material around campus.
I am also the system administrator for SRCT. As system administrator I am tasked with maintaing all our infrastructure, which includes managing our GitLab instance. I also am responsible for deploying projects and ensuring there are no active CVEs in production. I am currently working with the rest of the SRCT Exec board and Volgenau School of Engineering to move SRCT’s infrastructure into the Engineering schools lab.


This page illustrates how to setup Thebe, using a local Jupyter server as kernel provider. This assumes that you have started the local server as:
jupyter notebook --NotebookApp.token=thebe-test-secret --NotebookApp.allow_origin='http://<IP_ADDRESS>:8080'and that it's running on port 8888 See also the source file.
print("Hello!")
1+1
from IPython.display import Math Math('\sqrt{1-x^2}')


Planar Flow¶
The planar flow introduced in [REZENDE2015]. This flow was originally designed for variational inference and sampling. Therefore it doesn’t automatically fit our use-case of density estimation. Since we especially need the inverse \(f^{-1}(x)\) of the flow to be easily computable, we invert it’s direction, defining it as a mapping from the transformed distribution \(p_1(x)\) to the base distribution \(p_0(x)\). Hence the flow is called InvertedPlanarFlow in our implementation and the forward method is not implemented.
To make sure \(f(x)\) exists, \(\mathbf{w}^T\mathbf{u} \geq-1\) needs to hold. Our implementation automatically constrains \(\mathbf{u}\) before assignment using
Dimension of parameter space: \(d + d+ 1\)
Determinant of the Jacobian of \(f^{-1}(x)\):
Hence the Inverse Log Det Jacobian for this flow is:
-
class
cde.density_estimator.normalizing_flows.
InvertedPlanarFlow
(params, n_dims, name='Inverted_Planar_Flow')[source]¶ Implements a bijector x = y + u * tanh(w_t * y + b)
- Parameters
params – Tensor shape (?, 2*n_dims+1). This will be split into the parameters u (?, n_dims), w (?, n_dims), b (?, 1). Furthermore u will be constrained to assure the invertability of the flow
n_dims – The dimension of the distribution that will be transformed
name – The name to give this particular flow
-
event_ndims
¶ Returns then number of event dimensions this bijector operates on.
-
forward
(x)[source]¶ We don’t require sampling and it would be slow, therefore it is not implemented
- Raises
NotImplementedError –
-
forward_event_shape
(input_shape)¶ Shape of a single sample from a single batch as a TensorShape.
Same meaning as forward_event_shape_tensor. May be only partially defined.
- Parameters
input_shape – TensorShape indicating event-portion shape passed into forward function.
- Returns
- TensorShape indicating event-portion shape
after applying forward. Possibly unknown.
- Return type
forward_event_shape_tensor
-
forward_event_shape_tensor
(input_shape, name='forward_event_shape_tensor')¶ Shape of a single sample from a single batch as an int32 1D Tensor.
- Parameters
input_shape – Tensor, int32 vector indicating event-portion shape passed into forward function.
name – name to give to the op
- Returns
- Tensor, int32 vector indicating
event-portion shape after applying forward.
- Return type
forward_event_shape_tensor
-
forward_log_det_jacobian
(x, name='forward_log_det_jacobian')¶ Returns both the forward_log_det_jacobian.
- Parameters
x – Tensor. The input to the “forward” Jacobian evaluation.
name – The name to give this op.
- Returns
- Tensor, if this bijector is injective.
If not injective this is not implemented.
- Raises
TypeError – if self.dtype is specified and y.dtype is not self.dtype.
NotImplementedError – if neither _forward_log_det_jacobian nor {_inverse, _inverse_log_det_jacobian} are implemented, or this is a non-injective bijector.
-
static
get_param_size
(n_dims)[source]¶ - Parameters
n_dims – The dimension of the distribution to be transformed by the flow
- Returns
(int) The dimension of the parameter space for this flow, n_dims + n_dims + 1
-
graph_parents
¶ Returns this Bijector’s graph_parents as a Python list.
-
inverse
(y, name='inverse')¶ Returns the inverse Bijector evaluation, i.e., X = g^{-1}(Y).
- Parameters
y – Tensor. The input to the “inverse” evaluation.
name – The name to give this op.
- Returns
- Tensor, if this bijector is injective.
If not injective, returns the k-tuple containing the unique k points (x1, …, xk) such that g(xi) = y.
- Raises
TypeError – if self.dtype is specified and y.dtype is not self.dtype.
NotImplementedError – if _inverse is not implemented.
-
inverse_event_shape
(output_shape)¶ Shape of a single sample from a single batch as a TensorShape.
Same meaning as inverse_event_shape_tensor. May be only partially defined.
- Parameters
output_shape – TensorShape indicating event-portion shape passed into inverse function.
- Returns
- TensorShape indicating event-portion shape
after applying inverse. Possibly unknown.
- Return type
inverse_event_shape_tensor
-
inverse_event_shape_tensor
(output_shape, name='inverse_event_shape_tensor')¶ Shape of a single sample from a single batch as an int32 1D Tensor.
- Parameters
output_shape – Tensor, int32 vector indicating event-portion shape passed into inverse function.
name – name to give to the op
- Returns
- Tensor, int32 vector indicating
event-portion shape after applying inverse.
- Return type
inverse_event_shape_tensor
-
inverse_log_det_jacobian
(y, name='inverse_log_det_jacobian')¶ Returns the (log o det o Jacobian o inverse)(y).
Mathematically, returns: log(det(dX/dY))(Y). (Recall that: X=g^{-1}(Y).)
Note that forward_log_det_jacobian is the negative of this function, evaluated at g^{-1}(y).
- Parameters
y – Tensor. The input to the “inverse” Jacobian evaluation.
name – The name to give this op.
- Returns
- Tensor, if this bijector is injective.
If not injective, returns the tuple of local log det Jacobians, log(det(Dg_i^{-1}(y))), where g_i is the restriction of g to the ith partition Di.
- Raises
TypeError – if self.dtype is specified and y.dtype is not self.dtype.
NotImplementedError – if _inverse_log_det_jacobian is not implemented.
-
is_constant_jacobian
¶ Returns true iff the Jacobian is not a function of x.
Note: Jacobian is either constant for both forward and inverse or neither.
- Returns
Python bool.
- Return type
is_constant_jacobian
-
name
¶ Returns the string name of this Bijector.
-
validate_args
¶ Returns True if Tensor arguments will be validated.
- REZENDE2015
Rezende, Mohamed (2015). Variational Inference with Normalizing Flows (http://arxiv.org/abs/1505.05770)


Eagles must rise to mental challenge posed by Patriots
by jaxsportsmediaThe injury report ahead of Sunday’s game with the Patriots has a few important players on it. Alshon Jeffery (ankle), Darren Sproles (quad) and Nigel Bradham (ankle) did not practice on Thursday. Jason Peters (knee) and Jordan Howard (shoulder) were limited.
So the Eagles are not exactly at full strength this week, to say the least.
The Patriots are not as banged up as the Eagles right now, but they’re far from totally healthy. DE John Simon (elbow), DB Nate Ebner (ankle, back), S Patrick Chung (heel, chest), TE Matt LaCosse (knee), and DT Danny Shelton (ankle) are all limited to some degree.
The mental edge is more crucial than the physical limitations in this one.
The message from tight end Zach Ertz, who many believe could be double-covered in the passing game on Sunday, is to play with confidence. Play with aggressiveness. Play smart.
“You can’t go in there fearing failure. I think if you do that, you’ve already lost the game,” he said. “We’re going to go out there with the opportunity to succeed and excel on Sunday. Obviously, we understand that they’ve been a dynasty for years. Everyone knows that. At the same time, we’re NFL players, we’re professionals, and we have a lot of confidence as a football team.”
 Belichick has not been afraid to let his big dogs hunt up front this season. He’ll play straight man-to-man across the board, either in Cover 1 (one-high safety) or Cover 0 (no safety in the middle of the field) and blitz the quarterback with five-plus.
“They’re fairly predictable on the back end from that standpoint, but up front they are extremely multiple in the way that they line up and in the way they deploy their personnel. Here’s what I mean by that.
“Let’s look at one of their dime packages, which means they have six defensive backs on the field. That dime package could consist of:
- Three safeties (Devin McCourty, Patrick Chung, and Duron Harmon)
- Three corners (Stephon Gilmore, Jason McCourty, and Jonathan Jones)
- Two linebackers (Dont’a Hightower and Jamie Collins)
- Three down linemen (Adam Butler, Lawrence Guy, and John Simon)
“When they line up with that personnel grouping, there’s a lot of possibilities for the Patriots up front. They could come out in what looks like a very basic 3-4 alignment, with those down linemen, Collins and Chung off the edge, and Hightower and Harmon as “stacked” linebackers. They could line up in more of a 4-2 alignment with Butler, Guy, Simon, and Hightower on the line of scrimmage and Collins and Chung as the stacked players. Or, they could line up in any of several pressure fronts. That is the genius of these kinds of defenses. It’s tough to predict what they’re going to do in any given situation based purely off the personnel. You have to see how they line up first, and by that point it is on the quarterback and the offensive line to get things straightened out.”
 They can make you “see ghosts”. The Patriots are great at occupying blockers both pre- and post-snap to help get one defender home free for a pressure.
The other thing is what Zach Ertz is alluding to above— Belichick is going to try to take away the Eagles’ best offensive players by sliding double coverages onto a guy like Ertz. Belichick has long been a proponent of utilizing “bracket” coverage, which is basically a designated double team to try and remove an opponent’s most dangerous pass catcher from the progression. As Fran Duffy writes, “Over the years, Belichick has been very creative in disguising where those double teams are coming from because he’ll use any combination of safeties, cornerbacks, and even linebackers in coverage for this purpose. Sometimes he’ll bring a player from the opposite side of the formation after the snap to help double-team someone on the opposite sideline!”
Whether the Patriots double-cover Ertz or simply shadow him with their best cornerback Stephon Gilmore, the Eagles have to be mentally prepared to counter with designed plays to either beat the brackets or feature other players on offense, all the while knowing Belichick is rubbing hands together and whispering “Excellent!” into his headset.
That’s the mental thing again— there’s something spooky about playing the Patriots.
* * * * * * * * * * * * *
A random historical note: We first played the BOSTON Patriots in an exhibition preseason game in 1968. It wasn’t until November 4, 1973 that the Eagles played the NEW ENGLAND Patriots in a regular season game, at the Vet before 65,000 fans in attendance. The Eagles won that game, 24-23, coached by Mike McCormack, and went on to finish at 5-8-1 that season. The Patriots were coached by Chuck Fairbanks, hired away that year from Oklahoma, and ended up with a 5-9 record.
Scoring
| Quarter | Tm | Detail | NWE | PHI |
|---|---|---|---|---|
| 1 | Patriots | Darryl Stingley 16 yard pass from Jim Plunkett (Jeff White kick) | 7 | 0 |
| 2 | Patriots | Jeff White 33 yard field goal | 10 | 0 |
| 3 | Patriots | Darryl Stingley 14 yard pass from Jim Plunkett (Jeff White kick) | 17 | 0 |
| Eagles | Charle Young 20 yard pass from Roman Gabriel (Tom Dempsey kick) | 17 | 7 | |
| Eagles | Charle Young 7 yard pass from Roman Gabriel (Tom Dempsey kick) | 17 | 14 | |
| Eagles | Will Wynn 24 yard special teams fumble return (Tom Dempsey kick) | 17 | 21 | |
| 4 | Patriots | Sam Cunningham 4 yard rush | 23 | 21 |
| Eagles | Tom Dempsey 12 yard field goal | 23 | 24 |


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|
| static std::shared_ptr< TextureData > | getTexture (Texture &texture, const String &filename, bool smooth) |
| | Loads a texture. More...
|
| |
| static void | copyTexture (std::shared_ptr< TextureData > textureDataToCopy) |
| | Shares the image with another texture. More...
|
| |
| static void | removeTexture (std::shared_ptr< TextureData > textureDataToRemove) |
| | Removes the texture. More...
|
| |
◆ copyTexture()
| static void tgui::TextureManager::copyTexture |
( |
std::shared_ptr< TextureData > |
textureDataToCopy | ) |
|
|
static |
Shares the image with another texture.
- Parameters
-
| textureDataToCopy | The original texture data that will now be reused |
◆ getTexture()
| static std::shared_ptr<TextureData> tgui::TextureManager::getTexture |
( |
Texture & |
texture, |
|
|
const String & |
filename, |
|
|
bool |
smooth |
|
) |
| |
|
static |
Loads a texture.
- Parameters
-
| texture | The texture object to store the loaded image |
| filename | Filename of the image to load |
| smooth | Enable smoothing on the texture |
The second time you call this function with the same filename, the previously loaded image will be reused.
- Returns
- Texture data when loaded successfully, nullptr otherwise
◆ removeTexture()
| static void tgui::TextureManager::removeTexture |
( |
std::shared_ptr< TextureData > |
textureDataToRemove | ) |
|
|
static |
Removes the texture.
- Parameters
-
| textureDataToRemove | The texture data that should be removed |
When no other texture is using the same image then the image will be removed from memory.
The documentation for this class was generated from the following file:


pyfos_auth
- PyFOS module to faciliate estabishing a session to FOS switch¶
The pyfos_auth
module provides functions to establish,
modify and terminate a session to FOS switch for management.
Information from the session is referenced by each subsequent calls.
Providing invalid session information will result in error.
Note
Session idle timeout is set to 2 hours on FOS switch.
Note
Only limited number of sessions are available. Thus proper termination of a session is recommended after usage.
Note
A session is defaulted to Virtual Fabric ID of 128 at the time
of login. And must be changed using vfid_set()
to
direct the subsequent requests to a given VFID.
Example usage of the module:
session = pyfos_auth.login("myname", "mypassword", "<IP_ADDRESS>", 1)
if pyfos_auth.is_failed_login(session):
print("login failed because",
session.get(pyfos_auth.CREDENTIAL_KEY)[pyfos.auth.LOGIN_ERROR_KEY])
sys.exit()
pyfos_auth.logout(session)
PyFOS functions generally returns generic error structure upon failure.
Generic error structure:
Dictionary key Description Example error-app-tag Application error tag Error, Info, or Warning error-info Array of “error-code” -20 error-message Error message in string Invalid speed ... error-path URI path /fibrechannel/name/0/0/speed error-tag mapped to HTTP error Operation-failed error-type Error type application or protocol
-
pyfos_auth.
login
(username, password, ip_addr, isHttps)¶ Establish a session to FOS switch based on valid login credential
Parameters: - username – user name to be used to establish a session
- password – password to be used to establish a session
- ip_addr – IP address of the FOS switch to establish a session with
- isHttps – 0 or 1 to indicate to use http or https
Return type: dictionary of error description error-structure-reference or session description


I’m an international student in MIT's class of 2021 pursuing a Bachelors in Mechanical Engineering.
I am comfortable with a variety of mechanical engineering tools such as 3D printing, manual and CNC machining,
injection molding and thermoforming. I also have experience with a variety of software tools
such as Python, MATLAB, C/C++, Fusion 360, Autodesk CFD, Autodesk MoldFlow and Siemens Tecnomatix.
Outside of class, I have been a part of a variety of research groups
in the areas of robotics, nanoengineering, metallurgy and business. I've also been a lab assistant for an
electromechanical systems class for nearly two years.
I am a hobbyist who likes to take apart and tinker with everyday items before improving and rebuilding them.
During my free time, I enjoy riding my homemade electric motorcycle around Boston, flying FPV drones
and exploring patches of nature wherever they may exist.
Developing a 1DOF haptic feedback controller to interface with an Atomic
Force Microscope to allows users to feel attractive and repulsive force that occur
on the nano scale.
Conducted extensive literature review on haptics, learning and human design
to optimize feedback controller design
Corresponding with AFM manufacturer to modify microscope software to
accept analog signals for control and output feedback signals
Automation System Developer
MIT Micro/Nano Lab (June 2020 - September 2020)
Enhanced remote learning during pandemic for over 50 students by modifying a compound
light microscope to controlled and viewable through the internet
Increased motion precision by three orders of magnitude to achieve micrometer-level
precision which allows users to conduct Z-height scans without additional hardware
Improved user experience by implementing photo/video recording features and a
GUI for a live coordinate readout
Robotic Systems Researcher
MIT d'Arbeloff Lab (January 2020 - March 2020)
Developed small, 3D printed robotic legs to test novel control algorithms for viability
before scaling it up to full-sized robotic legs.
Cut down prototype time by 30% by providing MATLAB script that visualizes robotic
limb workspace and torque requirements for a given leg geometry
Developed a hybrid force/position control walking algorithm by interfacing MATLAB
code that defines Bezier trajectories and control parameters with C++ code that runs a control loop
Mechanical Engineer
TILT (January 2020 - Present)
Designed a low-cost modular wheelchair attachment that allow users to traverse staircases
Analyzed data to improve design criteria from alpha prototype user tests
conducted with over 20 wheelchair users in India
Iterated design using DFM and DFA criteria to decrease manufacturing stock waste and
reduce assembly time from two hours to twenty minutes
Innovation and Performance Intern
Keolis Commuter Services (June 2019 - September 2019)
Coordinated and led an interdisciplinary team to conduct locomotive engine testing
Reduced maintenance time by 15% by resolving pump malfunction through root cause failure analysis
Saved over $30,000 annually by integrating an oil filter cleaning system into maintenance schedule
Reduced headlight redesign project timeline by 6 months from data obtained through CFD simulations
Designed 3D models of locomotives from engineering drawings for future modifications and simulations
Education
Massachusetts Institute of Technology
Bachelors Degree - 2017 - 2021
Major: Mechanical Engineering
Focus: Electromechanical, Robotic and Control Systems
Concentration: Music Technology
Relevant Coursework: Mechanics and Materials, Dynamics and Controls, Thermal-Fluids Engineering
Robotic Systems, Bio-Inspired Robotics, Numerical Computation for Mechanical Engineers,
Instrument and Measurement, Design and Manufacturing, Product Design,
Mechanical Engineering Tools, Fundamentals of Programming, Signals and Systems,
Electronics for Mechanical Engineers
Gateway College Sri Lanka
High School - 2013 - 2017
Focus: Science and Technology
Role: Deputy Head Prefect
Awards and Clubs: Monash University Future Leader Award,
Fulbright Scholar Program, Head of Community Service Club, Edexcel High Achiever
Award, SLMUN 2014 Organizer
Projects
×
Sensus
In this class, I and 16 other students work together as a product development firm throughout the semester.
We start by selecting an idea and then running it through different phases such as high-level physical modelling,
detailed CAD design review and final manufacturable product.
We decided to make a medical device that automates testing for peripheral neuropathy in users feet by mimicking
the Semmes-Weinstein test where a doctor would touch the patients foot at different locations with a thin wire
filament and asks them if they felt the touch.
The final product. The thermoformed blue inserts are removable so that different ones can be used for people
with different foot sizes. This is so that the main housing can be manufactured without changes to tooling.
The aluminum heel liners are used as a guide for the user to place their feet. They also act as a capacitive touch
sensor to tell the server that the user has placed their feet on the device
A look at the internal housing and mechanisms
The stainless steel baseplate of the device without the thermoformed housing.
There are multiple hole cutouts so that the mechanisms could be adjusted to accomodate various foot sizes
The actuator mechanism that consists of a servo which moves a platform up that contains the filament which
touches the users foot. When the filament touches the foot, a spring gets compressed which activates a switch that tells
the device that the filament did indeed touch the foot.
The device has four main components:
Hardware: This is the main device which conducts the test. The hardware has 11 stepper motors for actuation,
10 limit switches for confirming that the filament contacted the foot and two capacitive touch sensors to
confirm that the users’ foot is on the device
Server: The server stores the user’s information and test data to keep track of whether the user is
experiencing nerve degradation. The server is also the medium for communication between the electronics and the app.
App: The smartphone app is the user’s main way of conducting tests. Once the user’s feet are on the
device, the app allows the user to start the test and once the filament touches the users foot, the app
asks them if they felt it. The app communicates with the server via get requests.
Electronics: The brain of the hardware is an ESP32 which actuates the motors and relays sensor information
to the server through get requests. (This is the section that I took ownership of)
Throughout the project, I took ownership of everything to do with electronics. This includes writing Arduino
code to actuate motors, store sensor information and communicate with the server. I also did all the wiring
for the electronics using a protoboard. I explored the option of fabricating a PCB but due to time constraints,
this was out of scope for the class.
To simplify wiring, I made two separate protoboard modules. One that has the ESP32 microcontroller and another
that distributes 5V and GND to 11 servos and 10 limit switches.
The electronics module where the board on the left is the power distribution circuit and the board on the
right consists of the microcontroller
ESP32 Circuit
White wires: The servo data cables through which a PWM signal is sent to control the servo position
Yellow wires: Wires that connect to a metal heel liner for capacitive touch sensing
Red and Black wires: Connects to an external power supply to supply 5V and GND to the ESP32 and sends
it to the power distribution board
Green wire: A wire that transfers the signals of the 10 limit switches to a single GPIO pin to
emulate an OR gate with 10 inputs.
The wire is connected to the ESP32 with an internal pull up resistor to get a digital HIGH/LOW signal input.
Power Distribution Circuit
Red wires: Sends 5V to the power input of the servo cable
Black wires: The GND cable for the servos and connects to one end of the limit switch
Green wires: Connects to the other end of the limit switch which sends a 5V signal when the switch
contacts are closed
The code on the ESP32 runs through a state machine which checks to see if the user’s feet are on the device and
the user has told the app to start a test before actuating the motors and receiving feedback from the limit switches.
×
Microscope Automation and Remote Access
MIT’s Micro/Nano Engineering Laboratory runs 3 classes where student extensively use compound light microscopes
to analyze experimental data. Due to restrictions caused by the COVID-19 pandemic, students were unable to have
lab access and conduct these experiments.
I took on the project of finding a solution that allows remote students to have a hands-on lab experience by
making the microscope controllable and viewable through the internet. I was also tasked with modifying air pressure
regulators to be remote controlled so that remote students can conduct microfluidic experiments.
This project was run on a tight 1.5-month timeline and I only had access to a 3D printer and a caliper as engineering tools.
Hardware
The X and Y axis was controlled with a combination of a belt drive and pulley system paired with NEMA17 stepper motors
The focus stage was controlled with a minimally invasive, direct drive stepper motor meshed directly to
the focus stage fine tuning shaft
Software
I wrote 3 different scripts that run in parallel on a Raspberry Pi 4 to control the microscope.
A keyboard listener that takes the users keyboard inputs to move the microscope stage. The arrow keys
move the X/Y stage, and the W/S key moves the focus stage
A GUI which allows users to change how much the stages move and allows users to take photo/videos
A video feed that shows the microscope image and has a display overlay that tells users their Z height and
location on the slide
GUI with controls for controlling travel distance per click, picture/video recording and a help button
which lists out all the controls and features available in the software
The red window on top right shows relative location on microscope slide. The bordered red square represents the
whole slide and the filled square represents the section of the slide that is currently viewed.
The red window on the bottom right represents how much travel is done on the Z axis. The window fills once the user
starts moving up and down to give them an intuitive understanding of their relative heights and a height readout is
available if they want to obtain accurate Z height measurements.
I introduced a coordinate system that allow users to control the X, Y and Z location with micrometer level precision
which opens new avenues for obtaining data such as conducting Z height scans. The stages have an auto-homing
feature where all three stages move to a zero position which allows users to easily change slides and have a consistent
numerical height reference when taking measurements.
Interfacing Hardware and Software
The 6 stepper motors (3 for microscope, 3 for pressure regulators) were connected to a breadboard enclosure which
contained the A4988 stepper drivers. The connectors on the bottom connected 15 wires to the raspberry pi which
were used to send signals to the stepper drivers. Each top connector connected to individual stepper motors to power them.
I also designed a custom enclosure which securely held the breadboard, connectors and power jack in place. The lid
has cutouts for thermal management and has features that allow it to lock onto to the enclosure with a snap fit.
The Raspberry Pi was connected to a Sony IMX477 sensor which was connected to a microscope camera lens through a CS mount.
Below are some manuals I made on how to print, assemble and use the modified microscope.
The d’Arbeloff Lab at MIT developed Supernumerary Robotic Limbs
that attach to workers to improve their posture
when working in environments that can lead to permanent back problems in the long run. When users want to move
to a different position, they must carry or drag the limbs which weigh over 60lbs. They want to implement a walking
algorithm for the robot so it can walk with the user and not be an additional weight on them.
I developed small scale robotic limbs to safely test different walking algorithms since there is an inherent
safety risk of testing the robot with new code with a human in the middle of it. Once the optimal algorithm has been developed,
it would be scaled up to fit the full-sized robot. These tiny robotic are all 3D printable and weigh around 5lbs.
I wrote a MATLAB script that takes the leg lengths and robot mass to output the usable workspace and torque required.
Using this script, I decided on a usable leg geometry for the robot.
I decided on a symmetric 5 bar linkage to drive the legs since it allows for 2DOF motion while keeping the motor
mass in the body of the leg to minimize leg inertia and mimic the full-sized robot. The control loop is the main area
to be tested so the difference in kinematics would not affect the tests.
To run motion experiments, I wrote C++ code that runs on a Mbed HELIO microcontroller and transmits data in real
time to MATLAB through an ethernet connection. The control algorithm I wrote was a hybrid impedance/position control
feedforward algorithm that allows the robot to walk in a straight line. This is the code that researchers would
modify to test their control loop.
×
Oil Filter Cleaning Mechanism
The HSP46 locomotive has an oil filter that has 60 filter candles used for filtration. These candles are replaced
every three years due to gunk buildup which costs approximately $180,000 to replace them in the whole fleet.
I developed and integrated a cleaning mechanism into their maintenance schedule to increase the service life of the candle.
Oil filter for the locomotive engine
After looking at various cleaning methods, I chose a high-pressure cleaning cabinet (Ranger RD500D) used for
automotive parts cleaning as the cleaning mechanism since it would be the most cost and time efficient cleaning mechanism.
I designed and fabricated a filter candle holder to be placed inside the cabinet for cleaning. Each hole seen
in the acrylic plate holds a filter candle.
I optimized the hole pattern geometry to maximize the number of filter candles that would be sprayed down.
The hole pattern is based off the Fibonacci curve for optimal packing of candles.
Simulation to see if all filter candles would receive water spray evenly.
I conducted FEA simulations to see if the high-pressure water would bend the structure and cause the candles
to break. The simulation assumed that the water would apply a force of 50N from a 75PSI water jet. This information
was obtained from the flow rate data and has a safety factor of 3. Using the simulation results, I increased the
hole size by 1.4mm to account for bending of the structure.
×
Headlight Redesign Project
The HSP46 locomotive has an engine exhaust outlet located on top of it which causes exhaust soot to deposit on
the headlight and reduce its effectiveness or sometimes block its light down to dangerous levels. I was tasked
with finding a remedy to the issue.
To start off, I designed an accurate CAD model that is to be used for CFD simulations. The
locomotives do not have any preexisting models, so I modelled it out of their engineering drawings.
To verify the accuracy of the CAD, I ran a CFD simulation of the locomotive to see if I could recreate the
conditions for soot deposition. The simulation shows that there is a low velocity boundary layer of air flowing
over the surface of the locomotive which is where soot deposition would occur.
I designed a headlight cover and ran a CFD simulation to verify that the cover would get rid of soot deposition on the headlight.
×
Oil System Failure Analysis
The HSP46 locomotive has a layover pump that keeps warm oil circulating through the engine during the winter.
It was experiencing an unexpected high-pressure spike that was causing the pump to regularly fail and put the
locomotive out of service. I conducted root cause failure testing and analysis to remedy the issue.
Procedure
Install pressure gauges through various points of oil system and conducting tests on the locomotive (Max.
rated pressure for the pump was 50PSIG, tests show pump experiencing pressures over 130PSIG)
Write a test report on the results obtained
Remedy the issue and conduct tests to verify solution success
To conduct these tests, I coordinated and lead a team of technicians which included an electrician to safely
shut off the pumps PLC, a plumber to install the check valve/ gauges and an engineer to start the train and load the engine.
Attached here is the full test report which has all the testing data and verification data.
This report was sent to the MBTA (Parent company) to implement this change on the whole fleet
×
Effects of Bicycle Tire Pressure on Transmitted Vibrations
I wrote a research paper on optimizing bicycle tire pressure for minimizing vibrations using scientific data
collection and statistical analysis methods.
I also conducted various lab experiments such as calibrating a laser interferometer and using
vibration analysis to obtain bode plots of different systems.
×
Arc Reactor Yoyo and Factory Simulation
I designed a yoyo with 5 other students. Since we didn’t have lab access for the second half of the semester
due to pandemic restrictions, we conducted injection molding analysis using AutoDesk MoldFlow and designed a
factory to produce a million Yoyos annually using Siemens Tecnomatix.
We also learned how to run and optimize CAM for machining molds for thermoforming and injection molding.
Below is a thermoforming mold that I made using a CNC mill.  I
joined them on further developing the product to be fully functional and scalable. The project has a provisional patent and is being funded
by MIT Sandbox and the MIT PKG center with over $15,000.
Below is the first design of the wheelchair which was taken to India and user tested with over 20 wheelchair users
to iterate the design
We are currently redesigning the attachment to increase its ease of manufacturability and reduce its assembly time.
This design is going to be sent to the Indian Institute of Technology – Delhi to be tested with
wheelchair users in the area.
×
AutoBrailler
I and a couple of friends participated in ATHack 2020, MIT's Assistive Tech. Hackathon. We created the AutoBrailler.
A addon attachment to the perkins brailler which takes text in and converts it to braille, effectively acting as a printer.
This project was a prize winner at the hackathon. A full description can be found here
×
Machined Flashlight
I made a flashlight with a knurled base using a mill and lathe with square and cylindrical aluminum stock.
This flashlight was made in an three day class which introduces students to machine shop tools
×
Remote Controlled Robot
I designed, fabricated and programmed a robot to compete against other students’ robots on a game board to complete certain challenges.
The robot was programmed in Arduino and was controlled using a wireless PS2 controller. The robot also has an autonomous mode
where it follows a line and pulls a handle on the game board.
The functional mechanism is a gripper that is made from water jetted aluminum. The gripper is controlled using
a stepper motor and has a 3D printed housing.
The gripper mechanism is connected to a rack and pinion system which allows it to move up and down.
The rack and pinion system has two 0.5” aluminum rods for support and to reduce binding.
×
Automated Plant Watering System
I and another intern designed and fabricated an automated plant watering system that waters office plants
based on their soil moisture level and if its outside work hours for reduced distractions.
The device has custom designed electronics and 3D printed parts. Below is a report written on the whole
project. I mainly worked on the hardware and electronics design.
×
Lizard Inspired Robotic Leg - (2.74)
I designed and conducted tests on a robotic leg alongside three other students. We based the limb design to
mimic a Shovel-Snouted Lizard which can travel a distance of over 20 times its body length in a second.
The hardware consisted of a 2 DOF robotic limb that runs on a belt drive system which is attached to a gantry
that allows it to freely travel in one direction. When the limb digs into the sand, the robot is propelled forward.
I built a forward Euler simulation model in MATLAB which models the robot kinematics along with its interactions
with the sand. I then ran an optimization algorithm to find the best leg angle and joint stiffness to get the highest
velocity when travelling through sand. Using this information, we tested our optimal results on our hardware
setup to see if it matched.
Extracurriculars
Activities I do outside of academic work
2017 - Present
Pi Lambda Phi Fraternity
Social Chair and Summer House Manager
2018 - Present
Electronics Class Lab Assistant
Lab assistant for 2.678, Electronics for Mechanical Engineers. I help students build and
debug a variety of circuits ranging from boost converters to H-bridges
2019 - Present
MIT Skydiving Club
Founding Member and Social Chair
2019 - 2020
Gordon Enginnering Leadership Program
I learnt effective leadership skills such as project management,
negotiation, conflict resolution, effective presentation and systems thinking from this
program
2018 - 2019
MIT Sport Pistol Team
Social Chair and invited to participate in National Collegiates


I changed a variable on the code of 5B. I changed the speed of the wheels from 200 to 400 on both sides. It just went faster and became more entertaining.


Clicks Distribution
We haven't finished collecting data.
But I tracked some user behavior
An online simulator to choose funds [Click2Redirect]
What features would the users use to choose funds?
How would payment affect the desicion making performance?
HCI in Decision Making


I don't know anybody that doesn't like potatoes, at least in some form or other. And that's the beauty of potatoes: its versatility. So in honor of that, we present the breakfast potato series! Enjoy!
Notes
serves 3-4
preptime: 10 min
cooktime: 15 min
totaltime: 25 min
Ingredients
- 3 russet potatoes
- 1 onion, chopped
- 3 cloves garlic, sliced
- 2 tbsp olive oil
- 1/4 tsp cumin
- 2 tbsp pre-roasted red pepper, chopped
- pinch of salt
- coriander, optional garnish
- 3 unopened chili peppers, optional
- 1/2 tsp turmuric, optional
- pinch of black pepper
Steps
Warm the pan at medium-high heat. Once warm, add 2 tbsp of olive oil to coat the pan evenly. Then, add a touch of butter.
Put in the cumin, shake pan until it stops sizzling, then put in the sliced garlic. Shake for 30 seconds, until the garlic starts to lightly brown. Put in the chopped onions, along with a pinch of salt.
After a minute of stirring, add the potatoes and stir until they are coating with the oil/onion mixture. Sprinkle two more pinches of salt on top with 1/2 tsp of turmuric and stir. Then, add the three unopened chili peppers for gentle heat.
Cover and let sit on medium-high heat for 10 minutes. Stir occasionally.
Add salt and black pepper to taste. Garnish with coriander. Enjoy!


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IsItNaNoYet.com is an unofficial NaNoWriMo website created by participants. This site's contents are not verified, reviewed, or endorsed by National Novel Writing Month by @sushimustwrite Wikiwrimo Source


--- layout: presentation title: "State of DevOps Insights - Tech Talk Tuesday" --- State of DevOps Insights Tech Talk Tuesday August 21st, 2018 Background Began in 2014 Survey based Scientific rigour High Performers:Fast and Safe 46x more frequent deployments 440x faster lead time 96x faster MTTR 5x lower change failure rate 27%-33% More Automation Configuration management Testing Deployments Change approval process This means more time for innovation Outcomes Focused 2x more likely to achieve objectives Other Findings DevOps practices attract talent Generative cultures adopt DevOps "better" Organizational Transformation Vision Intellectual stimulation Inspirational communication Supportive leadership Personal recognition Considerations Are our applications architected for testability and deployability? Are our teams structured in a way that supports velocity? What barriers do we need to remove to help people get things done?
Tech Talk Tuesday August 21st, 2018
This means more time for innovation


Here are some of my favorite photographs from my travels.
No photographs have all of the following tags:


About
Thank you for your interest in Blissful Moments Photography! My name is Stephanie, and I love capturing the little moments in life – the laughs, the smiles, the hugs – that we hold close but all too often pass us by. I believe it is these moments that tell the stories of our lives and those of the ones we love. I would love to help you capture these moments and tell your story!
A registered nurse by day, a photographer at heart…I provide a comfortable atmosphere, allowing my clients to share those blissful moments with the ones they love. I enjoy working with newborns, children, families, couples, older adults, and pets, and I know how to provide each and every one the special care and attention they deserve. Schedule a custom photo session by contacting me today!
Shoot
I love photographs that show authentic expressions: a laugh, a smile, a tear, or a touch. I work hard to make sure even the shyest person feels comfortable around my camera. I can meld into the background to capture candid moments, or engage with a guest to coax out a smile. Most of all, I take the time to understand your needs and inspirations for your special moments.
Enhance
Using the latest digital technology and high end professional camera equipment I ensure all my clients receive the best image quality no matter how large or small the shoot. Fully digital production allows for changes and enhancements to achieve outstanding results even in the most difficult of situations - in addition to allowing me to exercise creative control and artistry.
Connect
I believe every photo tells a story, and I want to help tell yours. I include my clients in the post-production phase of the storytelling process through my private digital proofing area. I also offer means to help you share these stories with loved ones via a variety of different digital printing, storage, and social media services.
Connect with me
Here's where you can find me on social media.


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.ApplicationConfig @import views.html.helpers._ @import views.ViewHelpers @this(gmpMain: gmp_main, viewHelpers: ViewHelpers) @(bulkReferenceForm: Form[models.BulkReference])(implicit request: Request[_], context: config.GmpContext,messages: Messages,ac:ApplicationConfig) @gmpMain(title = Messages("gmp.bulk_reference.header") + " - " + Messages("service.title") + " - " + Messages("gov.uk"), supportLinkEnabled = true) { @includes.back_link(Messages("gmp.bulk_reference.header")) @views.html.helpers.errorSummary(bulkReferenceForm)


Class DbMemberHelpers
Helper functions for various database member classes which are auto-generated and therefore
cannot be modified directly
Inheritance
System.Object
DbMemberHelpers
Inherited Members
System.Object.ToString()
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Assembly: BatRecordingManager.dll
Syntax
public static class DbMemberHelpers
Methods
|
Improve this Doc
View Source
AddLabelledSegment(Recording, LabelledSegment, BatReferenceDBLinqDataContext)
Given a labelled segment, adds it to the recording in the database
Declaration
public static void AddLabelledSegment(this Recording recording, LabelledSegment result, BatReferenceDBLinqDataContext dc)
Parameters
|
Improve this Doc
View Source
CreateRecording(String, DateTime, TimeSpan, TimeSpan, Tuple<Double, Double>, String)
Declaration
public static Recording CreateRecording(string file, DateTime date, TimeSpan startTime, TimeSpan duration, Tuple<double, double> location, string notes)
Parameters
| Type |
Name |
Description |
| System.String |
file |
|
| System.DateTime |
date |
|
| System.TimeSpan |
startTime |
|
| System.TimeSpan |
duration |
|
| System.Tuple<System.Double, System.Double> |
location |
|
| System.String |
notes |
|
Returns
|
Improve this Doc
View Source
Duration(LabelledSegment)
Returns the duration of the segment as a TimeSpan? or null if either of the start
or end offsets are null
Declaration
public static TimeSpan? Duration(this LabelledSegment segment)
Parameters
Returns
| Type |
Description |
| System.Nullable<System.TimeSpan> |
|
|
Improve this Doc
View Source
FrequencyContributions(LabelledSegment, out Int32, out List<Int32>, Double, Int32)
Calculates the contributions to the frequency table due to this segment
Declaration
public static bool FrequencyContributions(this LabelledSegment segment, out int FirstBlock, out List<int> OccupiedMinutesPerBlock, double tableStartTimeInMinutes = 720, int BlockSize = 10)
Parameters
| Type |
Name |
Description |
| LabelledSegment |
segment |
|
| System.Int32 |
FirstBlock |
|
| System.Collections.Generic.List<System.Int32> |
OccupiedMinutesPerBlock |
|
| System.Double |
tableStartTimeInMinutes |
|
| System.Int32 |
BlockSize |
|
Returns
| Type |
Description |
| System.Boolean |
|
|
Improve this Doc
View Source
GetFileName(Recording, RecordingSession)
Returns the fully qaulified filename of the recording
Returns null if the directory or the fully qualified file are not
found on this computer
Declaration
public static string GetFileName(this Recording recording, RecordingSession session = null)
Parameters
Returns
| Type |
Description |
| System.String |
|
|
Improve this Doc
View Source
ImportWavFile(RecordingSession, String)
Imports a .wav file with embedded GUANO data from analysing with Kaleidoscope.
Does nothing if there is no GUANO/WAMD data but otherwise looks for an existing
matching recording entry for the file and updates it if so, or creates a new single segment
recording if not.
Amendment Dec 2019 - if there is a sidecar .txt file, imports that data as a set of labels
for the recording.
Declaration
public static void ImportWavFile(this RecordingSession session, string file)
Parameters
|
Improve this Doc
View Source
ToHMString(TimeSpan)
Returns the timespan as a string in the format [-]HH:MM
Declaration
public static string ToHMString(this TimeSpan timespan)
Parameters
| Type |
Name |
Description |
| System.TimeSpan |
timespan |
|
Returns
| Type |
Description |
| System.String |
|
|
Improve this Doc
View Source
WriteTextFile(Recording, Boolean)
Writes a new text file for this recording in the original folder and with the same name as
the recording but with a .txt extension. The text file contains times and comments from each
Labelled segment in the recording. If partial is true the file is only written if it does not
already exist. Otherwise any existing text file will be renamed .bak and replaced.
Declaration
public static void WriteTextFile(this Recording recording, bool partial)
Parameters
| Type |
Name |
Description |
| Recording |
recording |
|
| System.Boolean |
partial |
|
|
Improve this Doc
View Source
WriteTextFile(RecordingSession, Boolean)
Extension method on RecordingSession. Recreates the header text file for the session
using the data in the database. If partial is true then an existing file will not
be overwritten. If false then an existing file is renamed as .bak and replaced with
the newly created file - this may result in text duplication if the session Notes contain
the text of the original file.
Header file is assumed to be the same name as the sessionTag
Declaration
public static void WriteTextFile(this RecordingSession session, bool partial)
Parameters


Gramado
Products
Services
Partners
Community
About
Options:
Button 1
Button 2
Button 3
// Some links to my projects.
Gramado Operating System
GDE - Gramado Desktop Environment


Suffolk Magistrates' Court heard how Philip Harper, 46, of Addington Road, Trimley St Mary, had been living with the mother and her 18-year-old son at their home for around three weeks when the incident happened.
Harper, a former neighbour of the duo, was living at the address in Manwick Road, Felixstowe, "out of a goodwill gesture" as he needed a place to stay, Wayne Ablett, prosecutor, said.
The court heard how the mother and son returned home on September 5 to find Harper smelling of alcohol and stumbling around the house, and he became angry for no reason.
He approached the son and asked, "Do you think you're hard?" before shoving him to the shoulder and throwing a punch at him.
The son managed to evade the punch and Harper then fell over the kitchen table, magistrates heard.
The son then ran to his bedroom and Harper grabbed the mother's wrists.
Harper then went into the son's bedroom, swearing at him as the 18-year-old climbed out of the window to get into the garden.
He then fled to his neighbour's house for safety, the court heard.
After Harper was arrested by police, the mother and son went back into the home and found a wooden chair, worth around £20, had been damaged.
An LG television in the son's bedroom, worth £200, had also been damaged.
The court heard that Harper appeared to be angry with the son and in his drunken state he grabbed the mother by the wrist to reason with her.
Harper, who has seven previous convictions, appeared before magistrates on Thursday charged with two counts of assault by beating and two offences of criminal damage.
He previously pleaded guilty to all charges at the same court on October 29.
Magistrates ordered Harper to pay the mother and son £50 each in compensation, and £225 for the television and chair.
He was also handed a 12-month community order and must not attend the Manwick Road home.
Harper was also ordered to pay a £90 victim surcharge and to complete up to 35 Rehabilitation Activity (RA) days.


Execute one of the following actions to interact with Microsoft Excel.
Send selected exchange rate
Convert to selected currency
Send all exchange rates
Sort by currency Sort by value
Create chart for exchange rates


Report packages which contain only classes extending java.lang.Throwable, either directly or indirectly.
Because this inspection requires global code analysis it is only available for Analyze|Inspect Code or
Analyze|Run Inspection by Name and it will not report in the editor.


Commenting Styles and Syntax
There are three ways to indicate a comment in Alloy:
- To comment out several lines of text, place "/*"
before the text and "*/" after the text. All
intervening text (including linebreaks and whitepace) will be
ingored. Some users follow the convention of putting a
* in front of each line in the comment, but this
is not necessary.
- A single line can be commented by placing "//" at
the beginning of the comment. All text (including whitespace)
after the slashes and before the the next linebreak will be
ignored.
- A single line can also be commented by placing
"--" at the beginning of the comment. All text
(including whitespace) after the dashes and before the the next
linebreak will be ignored.
For example, in the following text, the c's are
commented text, and the A's are uncommented Alloy
code:
AA AA AAAAA AA AA
AAAAA
//cccccccc
AAAA AA AA AAA AA --cccccccc
/* cc cccccc
ccccccc
ccccc */
AA AAA AAA AAAAA
AAAAAA AA AA /* c cc cccc */ AA AAAA /*ccc*/ AAA A AAAA
/*
* ccc c ccc cc ccccc
* ccccccc cccccc-ccc
*/
AAAAAA
-- cccccc
--ccccc
AAAAAAA A AA A
// ccccc
//ccccc
AAA AAAA AA A A A


React Passage
Passage
provides simple components that safely link and redirect to internal or external paths
View on GitHub
Share


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2019-07-02
Spatial map viewer improvements:
- Calculates nearest neighbors on the fly
- Works with data from
Consolidated_data.txt
(doesn’t need nearest_neighbors.csv
)
- Supports multiple positivity and expressions in phenotype selectors!
Component levels report:
- Allow the user to enter the quantile(s) to display on the histograms. If two or more quantiles are entered, include a signal-to-noise table in the report, showing the ratio of the highest quantile to the lowest.
Bug fixes:
- Fixed a problem that caused the analysis addin to incorrectly report zero cells in a phenotype (#15).
2019-06-18
Spatial map viewer addin:
Analysis addin:
- Phenotype definitions may include valid expressions such as
~`Membrane PDL1 (Opal 520) Mean`>5
.
Bug fixes:
- Fix error during calculation of N/A and Total cell in cell seg summary report
2019-05-31
Bug fixes:
- Fix calculation of N/A and Total cell count in cell seg summary report (#13)
2019-05-10
Analysis addin:
- Add support for aggregation by a selectable column (#3). This allows reporting by Sample Name or Annotation ID as well as by Slide ID.
- Detailed output of nearest neighbors includes the Cell IDs of nearest neighbors as provided by
phenoptr::find_nearest_neighbors
.
- Recognize and correctly read inForm data which uses comma as the decimal separator. (Requires phenoptr >= <IP_ADDRESS>00; related to akoyabio/phenoptr#8).
- More robust
find_common_prefix
function works with empty and numeric Slide IDs.
Bug fixes:
- Fix the way the analysis addin handles special characters in Slide ID (#9).
- Fix file chooser to work on RStudio Server.
Analysis addin
- Optionally save nearest-neighbor and count-within details for each cell.
- Reverse the fill scale of the nearest neighbor heatmaps so red represents closer cells.
- Write session info to
session_info.txt
in the output directory.
Unmixing quality report
Component levels report
- Show a single quantile (99.9 percentile) in the signal histograms.
- Omit Autofluorescence from the pairs plots.
- Use a common scale on the individual plots within each pairs plot to avoid exaggerating small signals.
- Add “Guidance” section.
- Remove “Signal to noise” section.
Merge addin
- More forgiving handling of duplicated records. It now ignores the duplicates with a warning.
- Less noisy console output.
General
- Reports save temporary files in a subdirectory of the output directory (#5)
- File and directory choosers are cross-platform (#8)
2019-03-03
New features:
- Analysis app optionally creates tabular summaries and heatmap visualizations of nearest neighbor distance and count within radius for all phenotype pairs.
- Component levels report includes pair plots of component vs component for each source image.
Bug fixes:
- Component levels report
- Write CSV files to the export directory, not its parent.
- Fix height of “Pixel intensity by component” charts.
- Consolidate merged files
- Fix to recognize “Annotation ID” as the field name.
- Analyze consolidated data
- Update for dplyr 0.8 to fix #N/A values in Total lines of Cell Counts, Cell Percents and Cell Density sheets
- Clean up chart output
- “All” tissue category is last in charts which have it, same as “Total”.
- Fix “Cell Count” axis label
- Fix legend in H-Score chart - “name repair” in readxl version 1.2.0 created unexpected column names which were shown in the legend.
2019-01-25
New features:
- The “Merge cell seg files” addin now supports searching sub-directories for target files.
- The “Consolidate and summarize” addin remembers the last directory for subsequent selections.
- More informative error message if consolidation fails due to mis-matched data files.
Bug fix:
-
compute_density
works with “square microns” spelled as inForm does.
2018-12-04
New features:
- Component levels report shows signal levels of bright and dark pixels in multiplex images.
Misc:
- Unmixing quality report works when DAPI and AF components are not present.
-
consolidate_and_summarize_cell_seg_data
processes files pairwise for reduced memory requirements.
- Better error handling in
consolidate_and_summarize_cell_seg_data
.
- Removed
consolidate_and_split_cell_seg_data
2018-11-05
New features:
- New RStudio Addin - “Merge cell seg files” merges inForm output from individual fields, similar to the inForm Merge tab.
-
merge_cell_seg_files
function performs the merge.
Misc:
- Update the link to Phenoptics home page.
-
compute_mean_expression_many
ignores duplicate parameter definitions instead of stopping with an obscure error.
-
compute_density_from_cell_summary
doesn’t require a Phenotype
column in the cell seg summary data.
-
split_phenotypes
doesn’t require a Confidence
column in the source data.
-
split_phenotypes
recognizes whitespace as a phenotype separator.
2018-10-26
New features:
- New unmixing quality report.
- Mean expression sheet includes tissue category “All” with mean expression across all requested categories.
- Chart report includes count and density charts with truncated Y-axis if any count or density > 2000.
2018-10-22
New features:
- Add version number, date stamp and documentation link to generated script file #2
- Add H-Score chart to the generated charts
- Add Akoya logo to footer in chart report
Bug fixes:
- Fix order of slides in Mean Expression report
- Don’t crash cell seg summary report when a slide has only one phenotype
- Correctly report number of fields for data derived from a whole-slide scan


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<Region Id="AnimatedRegion" Width="100" Height="100" BackgroundColor="Red" />
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<EventSystem />
</AnimationExample>
public class AnimationExample : View
{
public void AnimateClick()
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// TODO do animations
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}
<AnimationExample>
...
<ViewAnimation Id="MyAnimation">
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</AnimationExample>
public class AnimationExample : View
{
public ViewAnimation MyAnimation;
public void AnimateClick()
{
MyAnimation.StartAnimation();
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}
| Method | Description |
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| StartAnimation | Starts the animation. |
| StopAnimation | Stops the animation. Called when the animation is not to continue anymore. Note that the animated views doesn't reset to its initial state when the animation is stopped. |
| ResetAnimation | Resets the animation to its initial state but doesn't stop the animation. |
| ResetAndStopAnimation | Resets the animation to its initial state and stops the animation. |
| ReverseAnimation | Makes the animation run in reverse back to its initial state. |
| PauseAnimation | Pauses the animation. |
| ResumeAnimation | Resumes a paused animation. |
| SetAnimationTarget | Changes the animation target view. |
<AnimationExample>
...
<ViewAnimation Id="MyAnimation">
<Animate Field="AnimatedRegion.Offset" From="0,0,0" To="300,0,0" Duration="750ms" />
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<Animate Field="AnimatedRegion.Offset" ...
<Animate ... From="0,0,0" To="300,0,0" ...
<Animate ... Duration="750ms" />
| Field | Description |
|---|---|
| EasingFunction | Easing function to be used when interpolating between From and To values. |
| AutoReset | Indicates that the animation should be reset to its startnig position when completed (false by default). |
| AutoReverse | Indicates if the animation should be reversed when the animation is completed. |
| Field | Path to the view field that should be animated. |
| From | The starting value to be set when the animation starts. |
| To | The end value to be interpolated to during animation. |
| ReverseSpeed | The speed the animation should have when run in reverse (percentage of original speed). |
| Duration | Duration of the animation. |
| StartOffset | Delay in the interpolation of values after the animation is started. |
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<AnimationExample>
<UserInterace>
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<StateAnimationExample>
<UserInterace>
<Group Spacing="10">
<Button Text="Change State" Click="ChangeState" />
<Region Width="100" Height="100" BackgroundColor="Red" />
</Group>
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<EventSystem />
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<StateAnimationExample Left-Region.Offset="-200,0,0" Right-Region.Offset="200,0,0" >
<UserInterace>
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public class StateAnimationExample : View
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if (State == "Right")
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<StateAnimationExample Left-Region.Offset="-200,0,0" Right-Region.Offset="200,0,0" >
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<StateAnimation From="Any" To="Left">
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<StateAnimation From="Any" To="Right">
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offsetAnimator.To = new ElementMargin(x, y, 0, 0); // x and y set during runtime
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Be notified when new themes, views, tutorials and updates are available


The Futuristic Tech
The promise of IoT is "smart" everything. Nest's Internet-connected Learning thermostat, Nest Cam surveillance camera, and Protect networked smoke alarm promise a more energy-efficient, safer home. IoT technology is a key part of the pitch for "smart cities," "smart buildings," "smart factories," and just about every other "smart" proposal from sensor manufacturers, networking companies, and big technology consultancies.  Sometimes the "smart" is relatively close to the sensor itself, but it often relies on a remote cloud service or data center to process the information and control actions.
On the consumer side, while devices like Nest's get much of the attention, wearable IoT devices are just starting to take off—despite the relatively low impact so far of high-profile efforts like the Apple Watch. "The Apple Watch may be on a slower liftoff cycle than other recent Apple hardware launches, but it has a complex number of use cases which are finding their home, purpose, and meaning," said Mark Curtis, the chief client officer at Fjord, Accenture's design consultancy. Within the next two to three years, he predicted, wrist-based devices will lose the need to be tethered to a smartphone. "At the same time, interactions between wearables and nearables (e.g., beacons, Amazon Echo, connected cars) will grow."
The health field is the most immediate fit for wearables, because they can gather data that has a benefit without conscious human action. "A good example is our Fjord Fido diabetes platform," Curtis said. "It requires complex linking between devices and data but would not have been possible without a smartwatch."
Governments are especially interested in the analytical powers of IoT-collected data for all sorts of reasons, from tuning services at the most basic levels to understanding how to respond in an emergency—as well as collecting revenue. Traffic lights and even pedestrian crossing buttons could be used as networked sensors, said Michael Daly, chief technology officer for Raytheon Cybersecurity and Special Missions. "You could see how many times is this being used and how long people are waiting to cross, then adjust traffic flow accordingly," he said.
Industry is equally interested in the data that can be tapped into by IoT, and more companies are examining the benefits of using the embedded intelligence and network connectivity of IoT devices to improve their own systems and products. In most of these applications, National Instruments Executive Vice President Eric Starkloff told Ars, companies are most interested in instrumenting their operations, "looking for events that are a warning of impending failure" in systems or squeezing additional efficiency out of their operations. So far, only a small fraction of industrial systems have network-based telemetry gathering, and Starkloff said that the greatest opportunities for growth over the next five years are in "brown field" applications. These are instances of simply upgrading or enhancing existing hardware in factories, refineries, office buildings and other physical plants with IoT goodness.
Manufacturing companies have been among the earliest adopters of IoT. General Electric has pushed forward its own massive internal investment in IoT technology to collect analytic data from everything from gas turbine engines to locomotives. IoT is also part of the "factory of the future" concept embraced by aircraft manufacturer Airbus, where National Instruments is helping the company put "smart IoT technologies into their smart tooling and robotics systems that work alongside human operators," according to Starkloff.
Airbus' IoT interest is as much about ensuring the precision of the company's manufacturing as it is about sensing potential problems. "Today they put planes together mostly manually," Starkloff said. "They want to move to the point where tools are intelligent—where a tool knows whether a rivet was put in correctly." To do that, the analytics tracking system performance "has to be close, not up in cloud," he explained. "They need devices communicating locally—smart tooling connected to smart wearables, such as glasses with a heads-up display."
In a way, Airbus' vision mirrors one that Boeing attempted in the 1990s with augmented reality (one the company has continued to invest in ever since). It's also similar to some of the methods of tying IoT technology to augmented reality visualization we saw at GE Software earlier this year, where technicians could be directed to equipment needing service in a manufacturing environment and stepped through the process with visual cues. But Airbus' setup also includes using IoT technology to communicate between human operated tools and robotic systems, passing data over a local network to allow machines and humans to work collaboratively.
The Department of Defense has similar designs on IoT, though the systems that the DOD wants to enhance are often soldiers themselves. Embedded and wearable systems are turning soldiers into nodes on the DOD network, both to enhance their battlefield performance and to track their well-being. Aside from the work on autonomous drones and other sensors, the Army has developed networked helmet sensors that can help detect the severity of concussive blows (a bit of tech that the NFL has moved to adopt as well). The military, through a number of DARPA projects and other labs, continues to develop wearable technologies that will allow soldiers to interact with other systems.
At a recent conference sponsored by the Army's Training and Doctrine Command (TRADOC), scientists discussed the possibility of "implanted" sensors that could communicate what a soldier was doing without the soldier having to consciously communicate it. Thomas F. Greco, director of intelligence at TRADOC, said that IoT technology coupled with wearable sensors could result in a "precision of knowing," reducing ambiguity on the battlefield and allowing commanders to have absolute knowledge of what troops were doing. But he also said that having that kind of data could affect the order and discipline of soldiers. "Ambiguity is a kind of lubricant in personal relationships," he said, wondering how that would change "when you have total knowledge and accountability."
Some of those issues can be addressed through design. Curtis identified Apple as doing a good job of protecting privacy in two design choices: by using the pulse sensor to detect when the watch has been taken off (and requiring a passcode to unlock it) and by having the display turn off when the watch is facing away from the owner.
"All of these devices, they're not just independent widgets," said Raytheon's Daly. "They're all collecting lots and lots of data on what we're doing." Even if the data is on something seemingly benign, like data from a fitness and health monitoring device, there's potential for its misuse. The same data that measures how many steps you've taken each day and how far you've gone could be used to track your activity for divining knowledge about "who you are, where you go, and how you move," Daly noted.
In some cases, that could be a good thing: data from a health tracker could, for example, theoretically let responders to an earthquake know that someone is alive and moving under a collapsed building. But collected over time, the data poses a significant privacy risk. "Personal information could leak, which may not be a concern if it’s just the number of steps walked but could be embarrassing or compromising if it’s personal medical data," Curtis said. And third parties could inadvertently expose that kind of data if there aren't proper controls. "Many people will have no issue with their health data being shared with a doctor," Curtis explained. "But the same people may hesitate before sharing data with an insurance company."
Daly added that the vast amount of data transmitted by IoT devices and stored locally raises the question of how long data collected from their users "should be allowed to live in the world, and how you get rid of it" when that appropriate life is over.
Part of the problem could be addressed by reducing what gets collected in the first place. While not all IoT devices can be equipped like the ones Airbus is installing in its factory, the systems that collect the data could perform pre-processing to gather only the analytically valuable data for storage.
Speed the plow
Reducing the data flow might not seem like a major issue for the industrial flavor of IoT since it doesn't touch the broader Internet much. It's more an "Internet of things" in lower case, connecting factory local networks and other industrial systems together over private wide-area networks. That's in part because of security and in part because of the reliability requirements for industrial applications.
"The bar for [Internet] reliability is going to have to go up for industrial IoT," said Kris Alexander, chief strategist at Akamai. "It just has to work. I'm going to have four hours of downtime a year? That won’t cut it." But if companies are going to start including IoT technology in products at any scale, the Internet will have to play a role in order for it to be affordable.
This need for low latency and high speed within the industrial IoT space is driving the adoption of new networking standards. These systems, based existing Ethernet and IP-based networking technology, may soon find their way far beyond the factory floor. Time Sensitive Networking (TSN), a time synchronized networking standard overseen by the Institute of Electrical and Electronics Engineers (IEEE) and the AVnu Alliance, can easily accommodate many IoT applications as we saw in lab tests at GE. In addition to IoT applications in industry, TSN is being looked at for use in automobiles. "There's a strong desire for TSN to be used in the automotive space because companies want to use IP-based controls for automobiles," said Starkloff.
But even in the somewhat friendly confines of the "industrial Internet," bandwidth isn't free. Collecting telemetry data from IoT devices for deep analytics at any sort of scale requires doing a lot of processing at the edge to cut down information to a more manageable and usable form, according to Starkloff. When that telemetry is coming from millions of consumer-grade devices over the Internet, the need to cut down on what is collected becomes just as much about maintaining reliability as protecting privacy.
One route might be a sort of reverse content delivery network, where a provider performs a forward-positioned processing of data with a MapReduce function or other big data processing scheme before passing the data back to the analytics system behind the IoT application. That's something Akamai already does internally, and the company is examining how to turn it into a service for IoT applications. "Today we have REST APIs, which we use to retrieve data for business units," said Alexander. The distributed data collection network at Akamai currently collects 1.2 exabytes of data per year. "We're exploring ways we could have third parties use the system to pull in data," he said.
If data is only being collected for a few thousand devices, Alexander explained, "you'd probably be better off with your own service and Amazon Web Services," but a service like the one Akamai currently uses internally could support data feeds from hundreds of thousands devices. "We're already talking to automotive companies interested in using our network to collect data," he noted.
The same goes the other way: how do you get software updates out to millions of embedded devices on the Internet? Akamai has already done this in the automobile industry, distributing software updates to 40 million vehicles last year, according to Alexander.
There are other emerging technologies that could make IoT connections more reliable, especially for mobile devices. The coming 5G cellular broadband standard is seeking to reduce latency across mobile networks to below a millisecond. The ultimate IoT devices, autonomous vehicles, absolutely need low-latency, reliable data networks in order to operate reliably.
No matter what G the wireless broadband network that connects IoT devices is, it's still an IP-based network. And as security researchers demonstrated when they were able to use Sprint's wireless network to gain access to a Jeep Cherokee's "connected car" systems and then its control network, being on mobile networks doesn't erase the biggest fear concerning IoT: security. It may be the most persistent problem that IoT faces because of the potential effect that an attack on IoT systems could have in the physical world.


Nothing belongs to me except what I was blessed with by Almight ALLAh. Nothing I am proud of except my team of hard working souls and creative brains.
Hardwork is the key to success in any field of life wheather it belongs to physical or intellectual work.
All that matters for the clients in the end is the reliability of the product in the field and it's durability for long run, and that exactly is our focus towards every new design and major to minor change in the product.
A man is known by his word and the trust of our long term clients on us depicts the fact that we make what we market.
Time is the most important thing to manage in the life and so is quality of your time. We put our best efforts not for effciency in our work but for effciency and effectiveness in the farmer's field.
Standardization is the key to our quality and hardwork derives that for us.
Management does not require age rather it requires skills and experiance. Every creature on the earth enjoys it's dignity when it plays it's part upto the full.
Nothing is to spare in the universe and time is the most important of everything.


THE PEOPLE VS. LARRY FLYNT A film review by Laura & Robin Clifford Copyright 1997 Laura & Robin Clifford
(This review is an excerpt from Reeling, a movie review show hosted by Laura and Robin Clifford, running on Boston Cable TV. Note that the film descriptions vary in completeness due to the fact that they're actually intros for running film clips.)
THE PEOPLE VS. LARRY FLYNT --------------------------
"The People vs. Larry Flynt", directed by the great Czech filmmaker Milos Forman, stars Woody Harrelson as the title character - a sleazy, flesh-peddling strip club owner who parlayed raunchiness into the multi-million dollar Hustler empire and became, through circumstance, a major proponent of the First Amendment right to the freedom of expression.
Alternative rock star Courtney Love makes her starring debut as Althea Leasure, the underage stripper who became Flynt's lover, wife and business partner before succumbing to AIDS in 1983.
The film follows Larry Flynt's beginnings as an adolescent moonshiner, through his rather amazing career as sleaze-meister, a redeemed Christian, and, finally, a crusader of the Constitution, ending in his Supreme Court victory against the Reverend Jerry Falwell and the so-called Moral Majority.
ROBIN:
Any film about pornography and sleaze, directed by Milos Forman, starts off with high points from me. "The People vs. Larry Flynt" does not disappoint, almost, at all.
Up front, I have to say that this an actors movie. All the trappings of First Amendment rights and the battle to maintain these rights in a reactionary, self righteous society takes a back seat to the performances of Woody Harrelson, Courtney Love, Ed Norton and a bevy of supporting characters.
Woody Harrelson (who would have thunk it when watching him on Cheers) is proving himself to be one capable actor, possibly only under capable directors such as Forman and Oliver Stone ("Natural Born Killers"), possibly because he CAN act. Here, as Larry Flynt, Harrelson starts off slowly, but builds steadily Flynt's character until the line between the actor and the character blurs. In the last half of the movie, I believed I was watching the man, not the actor. Damn good job by Harrelson that may or may not garner an Oscar nom. He will get more serious attention in the future.
Courtney Love gives a truly outstanding performance as Althea Flynt. In the hands of a master such as Forman, Love delivers a powerful and believable performance as a young woman drawn to the sleaze of Larry Flynt, mainly because he is her kindred spirit in that sleaze. Altheas dedication to Flynt, the man and the business, is well drawn and without any falseness. If Madonna is nominated, for "Evita", over Courtney Love, it will be one of Hollywood's grander screwups.
Edward Norton, who blew me away in his debut as the psycho in last years "Primal Fear", plays a composite of lawyers involved with Flynt over the years, including the real Alan Isaacman. Nortons boyish looks belie the inherent acting ability portrayed here. He is convincing as Flynt's longtime friend and legal advisor and gives a very effective speech before the Supreme Court in the film's climax. Edward Norton is an actor to watch for in the coming years.
Other supporting cast, such as "Good Day, New York" correspondent, Donna Hanover, in a terrific debut as evangelist Ruth Carter Stapleton , who briefly turned Flynt toward Christ, and political consultant James Carville, making his acting debut as Simon Leis, Flynt's opponent in early legal battles, are examples of exemplary casting. Also notable is Harrelson's real-life brother, as Larry Flynt's brother and business partner.
The rest of the supporting cast, such as a Vincent Schiavelli and Crispin Glover, were not only miscast, they hurt the scenes they are in. A mixed bag of support, some very good, some not.
Milos Forman ("One Flew Over The Cuckoos Nest", "Amadeus") is a masterful filmmaker and it shows here. He draws terrific performances from much of his cast and deftly conveys the screenplay to the screen.
The screenplay, by Scott Alexander and Larry Karaszewski, is rich in detail and dialogue. Alexander and Karaszewski also showed an adeptness with biographies with their script for Tim Burton's "Ed Wood".
I have one not-so-minor problem with "The People vs. Larry Flyn"t: it doesnt go far enough in conveying the utter sleaziness that Larry Flynt and Hustler magazine represented. Some of you may have seen Hustler, but I can safely bet that most have not. For the uninitiated, Larry Flynt is portrayed as a working class Hugh Hefner, with a working class version of Playboy. He was anything but a Hefner clone. The purification of raunch that represented Flynt takes the edge off of what could have been a terrifically edgy film.
Because of this, I give "The People vs. Larry Flynt" an A-.
LAURA:
Czech director Milos Forman ("One Flew Over the Cuckoo's Nest," "Amadeus") has directed an American classic with "The People vs. Larry Flynt." I must state right up front, however, that this should not be considered a Larry Flynt bio-pic, but a piece of American Pop - at least that's how I'm viewing it. Screenwriters Scott Alexander and Larry Karaszewski, whose last script lionized another oddball outsider, Ed Wood, have portrayed Flynt almost as a naif who happens to be a shrewd businessman faithful to his friends, madly in love with his wife, Althea Leasure, and a crusading proponent of free speech. I'm sure there are plenty of people (the Reverend Jerry Falwell aside) who would love to air a sleezier, darker, nastier more self-serving picture of the man (as is the case with a former security man and brother-in-law in the February issue of Penthouse).
"The People vs. Larry Flynt" is essentially about two things - Larry Flynt's fight for his first amendment rights and the love story between him and Althea. Flynt's head for business is established in 1952 Kentucky where he was a child moonshine bootlegger. The grown up Flynt (Woody Harrelson) enjoys running a strip club and the employees who dance there. He decides to promote his Hustler club via newsletter consisting of nude shots of his dancers, but the printer informs him that without any textual content, he'd be arrested for distributing pornography. Voila - the birth of Hustler magazine.
There are three terrific performances from the three principals in "The People vs. Larry Flynt." Woody Harrelson loses himself in the role, particularly in the latter part of the film after Flynt's paralyzed by an attempted assassin's bullet. I found myself watching Larry Flynt, not Woody Harrelson. Courtney Love is as good as all the hype around her performance says - she's a either natural actress or Althea Leasure's soulmate. Edward Norton ("Primal Fear") impresses again as Flynt's lawyer - a very mature performance from a very boyish looking young actor. All three performances are strong contenders for an Oscar nomination.
Also of note is Donna Hanover, a newswoman, as the strangely seductive Ruth Carter Stapleton, helping Flynt be born again. James Cromwell ("Babe") appears as Flynt adversary Charles Keating (later of the savings and loan scandal) and Bill Clinton's campaign advisor James Carville debuts as a county prosecutor. Flynt himself appears as Judge Morrisey, who presided over Flynt's first obscenity trial.
The film is funny, epic, tragic and brashly colorful in a 70's period way. The film's locations include Flynt's actual Hollywood mansion and publishing offices.
My one small nit with "The People vs. Larry Flynt" is that there are several scenes which are too abruputly editted throughout the midsection of the film which broke me out of the movie experience. Otherwise, I was totally wrapped up in Forman's American fable.
A
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Expert lectures (lectures will be delivered by experts from industries and academics)
9th March,2017
11:00 to 1:00 pm
MMH
50/- per head


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Vert.x
Reactive, event-driven applications on the JVM
Erwin de Gier | Software Architect | Open Source
Demands
- Mobile
- Multicore
- Cloud computing
- Interactive & real-time
- Responsive
- Collaborative
- Realtime
- Data increase
Trends
Microservices
Scalable
Event driven
“Vert.x is a toolkit for creating reactive applications on the JVM, supporting multiple development languages simultaneously.”
Microservices
Microservices
- Run as standalone JAR file or in vert.x runtime
- Support for Java, Ruby, Javascript, Groovy, etc.
- Deploy and Undeploy seperate services at runtime
- Dropwizard style Metrics
Event driven
Event driven
- Services subscribe to events
- Thread is free until an event needs to be handled
- Distributed event-bus
Scalable
Scalable
Architecture
Hello World
public class PublisherVerticle extends AbstractVerticle {
@Override
public void start() throws Exception {
vertx.setPeriodic(1000, arg -> {
vertx.eventBus().publish("event",
new JsonObject().put("eventmessage", "hello world"));
});
}
}
Demo
- Core API
- Vert.x-web
- Persistency
- Vert.x-unit
- Metrics
- Shell interaction
“Looking for a Microservices toolkit? Reactive, Scalable and Event Driven? Needs to run on the JVM?”


I am a junior at Stony Brook University, majoring in Computer Science, specializing in Software Systems Development, and minoring in Digital Arts. I hope to pursue a career in creating solutions to solve real-world problems. My coursework thus far parallels issues that can be solved with code. Some of these examples are parsing and creating large JSON files and mapping and reduce data in files.
Currently, I work at Stony Brook University's Client Support, where I provide troubleshooting service to the entire University body. Additionally, along with three other technicians I provide specialized support to our faculty staff in the Administration building.
Outside of school and work, my interests include building computers, playing games, and running the Hearthstone Club. I founded the club in Spring 2015, when I brought together people who shared a common interest, and have been President ever since.
If you would like to view my resume for a full list of my experience, projects, and skills you can find it: here


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Email: {{ student_email }}
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