BC BUSINESS
Saved by @Mollyycolllinss

Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!

 Argument Schemes and Dialogue for Explainable Planning

https://t.co/iI3fxAuOcF
Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1

https://t.co/rs7fJc8Sws
A design of human-like robust AI machines in object identification

https://t.co/m1Tfm1KYUl
Single Shot Multitask Pedestrian Detection and Behavior Prediction

https://t.co/S3tiOnHoRw
Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma

https://t.co/mjqovCGUhj
Data Poisoning Attacks to Deep Learning Based Recommender Systems

https://t.co/FVr7Z9YiX1
Self-Attention Based Context-Aware 3D Object Detection

https://t.co/UcyP6IUr1V
L2PF -- Learning to Prune Faster

https://t.co/E1ipKSBFk3
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack

https://t.co/B3beuwHBVD
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

https://t.co/E9B8E4YZj6
Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study

https://t.co/5Q98CpM89U
Multimodal Gait Recognition for Neurodegenerative Diseases

https://t.co/NkcrwgWfsT
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques

https://t.co/EGaHwpI6gC
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

https://t.co/esweLNEoMb
A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning

https://t.co/DnyxRqxNRY
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

https://t.co/NKpQ0gntHy
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification

https://t.co/NMcnVpRZt5
StarNet: Gradient-free Training of Deep Generative Models using Determined System of Linear Equations

https://t.co/23HkZdcPKe
Adaptive Synthetic Characters for Military Training

https://t.co/5xNFThJlWK
The case for psychometric artificial general intelligence

https://t.co/w1ZJNCAj39
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey

https://t.co/6kFoUSuLpJ
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation

https://t.co/u62zif51D8
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces

https://t.co/ugJvlG7b3t
Deep Reinforcement Learning with Quantum-inspired Experience Replay

https://t.co/9TBKAAGMmO
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

https://t.co/58rbKCY9Ru
Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions

https://t.co/OgZKw3Cov6
Deep Neural Network Based Relation Extraction: An Overview

https://t.co/ISBG8c7UzQ
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks

https://t.co/MuUG6LsPUF
Theory-based Habit Modeling for Enhancing Behavior Prediction

https://t.co/UZDtp2A83a
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery

https://t.co/Fcn2uVEsIp
On the Control of Attentional Processes in Vision

https://t.co/B35B7Dk54K
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic

https://t.co/CF6glQV2nW
Analyzing movies to predict their commercial viability for producers

https://t.co/VaEcSaIJtj
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

https://t.co/nKBRaA6the
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment

https://t.co/Cix2rinBob
Support Vector Machine and YOLO for a Mobile Food Grading System

https://t.co/VmiOwRZ2gV
To do or not to do: cost-sensitive causal decision-making

https://t.co/9iDr9CogRJ
Political Depolarization of News Articles Using Attribute-aware Word Embeddings

https://t.co/EsOFDI97Q5
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images

https://t.co/gUPQWJ6YEM
Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model

https://t.co/VLdratnPjD
Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification

https://t.co/gTK15Nmoko
Strategic Features for General Games

https://t.co/4Yt3ZTKb8N
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

https://t.co/44WSpjKDZd
Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning

https://t.co/UWIa18td2P
Sentiment Analysis for Open Domain Conversational Agent

https://t.co/2EJqPRIvop
If You're Happy, Then You Know It: The Logic of Happiness... and Sadness

https://t.co/PJTcraD0K7
An Ontology Design Pattern for representing Recurrent Situations

https://t.co/7BWFJqKhBJ
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue

https://t.co/tTZKVlvrWe
Transformers in Vision: A Survey

https://t.co/liP1MJY72v
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest

https://t.co/G5sWF4GYiY
Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots

https://t.co/PcfTq36heO
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics

https://t.co/nwLiRdGkBQ
Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks

https://t.co/LU634yUAyU
Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming

https://t.co/dL4GJw3y95
Zombie Account Detection Based on Community Detection and Uneven Assignation PageRank

https://t.co/VGkZKfM4ih
How to Train Your Agent to Read and Write

https://t.co/NJJreymjby
Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans

https://t.co/sahwzV0akw
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

https://t.co/mQydI1yWtY
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events

https://t.co/GARbpQmbFA
Fusion of Federated Learning and Industrial Internet of Things: A Survey

https://t.co/ZoZD7WWSWa
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning

https://t.co/YC83Pv82kf
Neural Networks for Keyword Spotting on IoT Devices

https://t.co/aPwYWpM7vS
AttnMove: History Enhanced Trajectory Recovery via Attentional Network

https://t.co/qjt6g20nX9
Privacy-sensitive Objects Pixelation for Live Video Streaming

https://t.co/GwHIjWYXqJ
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier

https://t.co/ePVpLxTtsX
End-to-End Training of Neural Retrievers for Open-Domain Question Answering

https://t.co/2m9PzQnl65
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition

https://t.co/cvKIwFmsWQ
RiddleSense: Answering Riddle Questions as Commonsense Reasoning

https://t.co/VPnK6TmMBY
Identity-aware Facial Expression Recognition in Compressed Video

https://t.co/9mNnzvWugT
Iranis: A Large-scale Dataset of Farsi License Plate Characters

https://t.co/taFXmeM6om
Reader-Guided Passage Reranking for Open-Domain Question Answering

https://t.co/2wt7nbg7ap
CIZSL++: Creativity Inspired Generative Zero-Shot Learning

https://t.co/jqsFZI6Bxa
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge

https://t.co/WY8fldH1Un
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

https://t.co/eDeIZrFx08
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets

https://t.co/3omOhvBIQN
Etat de l'art sur l'application des bandits multi-bras

https://t.co/0zqsbla1ZF
Binary Graph Neural Networks

https://t.co/VZnSpSWJmp
An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization

https://t.co/8pAjZDl9uZ
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning

https://t.co/yibeyARmL3
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea

https://t.co/7OQTeR0cBz
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging

https://t.co/KuKpdhWhkD
Robust Text CAPTCHAs Using Adversarial Examples

https://t.co/08spXMzEji
Detecting Log Anomalies with Multi-Head Attention (LAMA)

https://t.co/qXK049ht20
Architectural Patterns for the Design of Federated Learning Systems

https://t.co/MVHtYSIWjm
Coding for Distributed Multi-Agent Reinforcement Learning

https://t.co/t0Re9BrNHd
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models

https://t.co/qzrec6IDOG
Handling many conversions per click in modeling delayed feedback

https://t.co/ZrU0uhNPHT
Teach me to play, gamer! Imitative learning in computer games via linguistic description of complex phenomena and decision tree

https://t.co/uXGXX0WLAD
Adversarial Machine Learning for 5G Communications Security

https://t.co/ScIUq3Pklz
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation

https://t.co/R7k3hDzJ5W
Automatic identification of outliers in Hubble Space Telescope galaxy images

https://t.co/4PafKjJNJl
Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis

https://t.co/wthbFhJAlj
RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks

https://t.co/Gor8YavtJq
Continuous Glucose Monitoring Prediction

https://t.co/m6ufMRn9vm
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)

https://t.co/FFvkJsN5m5
MSED: a multi-modal sleep event detection model for clinical sleep analysis

https://t.co/Ki9FU3eCTC
A spin-glass model for the loss surfaces of generative adversarial networks

https://t.co/k0zRhKrRFh
Active learning for object detection in high-resolution satellite images

https://t.co/ildobu8RWv
RobustSleepNet: Transfer learning for automated sleep staging at scale

https://t.co/SjB1zOJe9N
Homonym Identification using BERT -- Using a Clustering Approach

https://t.co/LcHjpCT4m4
User Response Prediction in Online Advertising

https://t.co/HvZKLMliJw
COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction

https://t.co/vqviIbd1Jb
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics

https://t.co/2V5vFEojhL
An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction

https://t.co/geb8sFURyH
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows

https://t.co/bEC6qAdAaS
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation

https://t.co/XE226wSV7w
Do We Really Need Deep Learning Models for Time Series Forecasting?

https://t.co/s1muXDs5NJ
Statistical learning for accurate and interpretable battery lifetime prediction

https://t.co/gqLMDxZO7D
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems

https://t.co/CjjRuGypAO
The data synergy effects of time-series deep learning models in hydrology

https://t.co/BnQMmqfIwc
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks

https://t.co/ChMZRx6IFe
Risk markers by sex and age group for in-hospital mortality in patients with STEMI or NSTEMI: an approach based on machine learning

https://t.co/dz61KNDgri
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases

https://t.co/tyLUSSQRM4
Model Extraction and Defenses on Generative Adversarial Networks

https://t.co/swz4ZCHmgv
Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps

https://t.co/I7U7R7uv4B
COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data

https://t.co/yEir3K29sV
Comparing Classification Models on Kepler Data

https://t.co/JZoxxWvywE
Interspeech 2021 Deep Noise Suppression Challenge

https://t.co/xaU6nRRtco
Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A Review

https://t.co/gJMrXaPGUD
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks

https://t.co/kD7xrRcYNu
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning

https://t.co/HwjjezqQyg
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease

https://t.co/Ak0vrmyogD
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation

https://t.co/R4dy1PCIfV
Auto-Encoding Molecular Conformations

https://t.co/21BhsA7GXw
Adversarially trained LSTMs on reduced order models of urban air pollution simulations

https://t.co/u44QNP35Rb
Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization

https://t.co/PByu7o8tul
Data-Driven Copy-Paste Imputation for Energy Time Series

https://t.co/wPbr4eswsu
One vs Previous and Similar Classes Learning -- A Comparative Study

https://t.co/bCxer47W0s
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations

https://t.co/k5xeSGhXxp
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network

https://t.co/a9uL9mJuCC
Learning the Predictability of the Future

https://t.co/Y7yz6X2MNr
CASS: Towards Building a Social-Support Chatbot for Online Health Community

https://t.co/MjmRThHMyX
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

https://t.co/mbpItXkjMf
Recurrent Neural Networks for Stochastic Control Problems with Delay

https://t.co/TEcyk88BDz
A Symmetric Loss Perspective of Reliable Machine Learning

https://t.co/VTARzV3bnx
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition

https://t.co/WbqicxzG1V
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping

https://t.co/W61kqz9z7y
Advances in Electron Microscopy with Deep Learning

https://t.co/j3Z1kB4VKQ

More from Business

Chris Herd
Chris Herd
@chris_herd
I spoke to 1,000+ companies over the last 6 months about their plans for remote work going forward

Here are a few things I've learned

[ a thread ] 💻🏠🌍

🏢 HQ's are finished: companies will cut their commercial office space by 40-70%

The will allow every worker to work from home 2-4 days a week, and come into the office 1-2 days a

🎡 home-office setup: Companies who cut their office spend will use that money to provide world-class setups for their teams at home

Companies who don't will lose people to companies who do

🌍 Fully distributed: ~30% of the companies we talk to are getting rid of the office entirely and going remote-first

Companies doing this have seen their workers decentralize rapidly, leaving expensive cities to be closer to family

⭐️ Access talent: The first reason they are going remote-first is simple – it lets them hire more talented people

Rather than hiring the best person in a 30-mile radius of the office, they can hire the best person in the world for every role
BUSINESS
Nick Huber
Nick Huber
@sweatystartup
Customer friction is a huge part of running a biz.

How hard is it to engage a company to work with you?

Data-driven companies obsess over reducing this friction.

Mom-and-pop operators SUCK at this and it’s costing them millions.

Here’s what I’ve learned 👇👇👇

1985 companies have a lot of friction.

Call them. Leave message. Wait. Guy may or may not call you back. Quote by phone or email. Scan signed contract.

A self storage facility we purchased recently had a lot of this.

Drive across town M-F 9-5. Spend 20 mins. Sign paper lease.

Get a physical key and lock. Drive back. Get your unit. Mail a check each month or stop by office with cash.

Owner charged $52 a month for a 10x10. Completely full.

We instantly setup software for online rental.

No phone call necessary. Rent a unit in 4 mins from your browser.

Sign lease online. Pay online. Upload photo of DL on phone.

Go straight to your unit 24/7. Type in gate key that was sent to you by text. Lock and key waiting in unit.

We can now charge $77 a mo for the same unit. $25 more. And we rent MORE units faster.

How significant is this?

That $25 increase per unit across the board turns out to be a 35% increase in revenue.

That takes revenue from $14k a month when I buy it to $18.9k a few months later.

An extra $58k to the bottom line over the course of 12 months.
BUSINESS , SCALE A BUSINESS , BIZ
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Karm Sumal
Karm Sumal
@KarmSumal
1. A thread on Downtown #Vancouver's office construction boom. When it's all said and done there will be roughly 10 million SQ FT of space will be added to just the core.

Here's a brief rundown on what is already approved and under construction...

2. We'll start with what is dubbed as Amazon's unofficial HQ2, or at the very least it's Canadian HQ. At 1.1 million SQ FT this is the largest office development in the city and will help shift DT east as it will house 7500 jobs once occupied.


3. The Amazon building is also significant because it will animate that stretch of West Georgia, Homer, Hamilton and Dunsmuir. It will no longer be a black hole for pedestrian activity. There will be approx. 185,000 square feet of retail and food hall space.

4. Next up is the Stack Tower to be anchored by EY. It's at the western edge of the Central Business District (CBD) and will become #Vancouver's tallest office building when complete. It clocks in at roughly 540,000 SQ FT and 530 feet in height.

5. Recently approved Steam Plant tower has a unique design and large floor plates. With nearly 600,000 SQ FT of office space, this is the second largest office tower that we could see. My bet is that this tower will start to take shape in a year or
BUSINESS
Sahil Bloom
Sahil Bloom
@SahilBloom
By now, you’ve probably heard that global supply chains are in a state of disarray.

Here's a simple breakdown of what’s causing it:


1/ There's a lot of talk right now about the global supply chain crisis.

@Business published an article subtitled "Inside the Brutal Realities of Supply Chain Hell”—it's getting serious.

This thread provides my (very) simple framework for understanding the key drivers:

2/ First off, what are the visible impacts of the crisis?

Product delays (good luck getting appliances before 2022), product shortages (see semiconductors), port buildups (fly over LA and you'll see), and rampant freight costs (sorry, retailer margins).

It's pretty bad.


3/ Global supply chains are very complex. We live in a highly-interconnected world.

A butterfly flaps its wings in Shenzhen and impacts when I receive my bike in New York. Ok, maybe not quite, but almost...

So to understand the drivers of the crisis, we need a simple framework.

4/ Let's break down what is happening using an Econ 101 classic: Supply and Demand.

Supply here refers to everything related to manufacturing, production, and transportation.

Demand here refers to everything related to consumption.

I'll walk through each side:
BUSINESS
Ky Nguyen
Ky Nguyen
@keywinhomes
@ReformedTrader That is a long post, but well written. Real estate is a claim on the future prosperity or ruin of a geographical location. Real estate intrinsic values is its ability to generate cash or similar costs to rent in that area. Intrinsic value is above zero in most cases.

Ironically enough, the location that benefits most from property ownership are places where rising living costs expand faster than rising middle income wages. Deflationary areas are hostile to property ownership as price is falling make collateral and borrowing difficult.

Homes are bought using leverage with agencies loan subsidies by the governments. As long as you have fixed rates, the costs of living expenses for your housing is set for 30 or 15 years which allow family to budget. Wealth can be accumulate over time as asset and income risen.

Time passed, real estate become detach from intrinsic values. Monthly mortgage rocket pass incomes and growth in the area. Quick money into real estate turn into a landmine. The 2007 fiasco could have been better or worst, but the free market is effectively dead as an ideology.

At the time, investors attack the institutional that vulnerable to the MBS and structured derivatives linked to real estate bubble risks. Since many financial institution owned the agencies MBS, defaulting on these security means downward spiral for M1 and M2 in developed nations
BUSINESS

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Invest Like the Best
Invest Like the Best
@InvestLikeBest
In 1937, a trucker got frustrated waiting for his cargo to be unloaded. He later sold his company for $1.1 billion.

Here’s the story of how Malcom McLean made a billion dollars and which startup could be following in his footsteps. (Inspired by our episode with @laurabehrenswu)


In the early 1950s, the shipping industry was a dying business.

New York’s docks were handling half as much domestic cargo in the early 1950s as they had been in the depressed 1930s.

In thirty years, no one had invested significant money in coastal shipping.

Why?

As McLean found out, loading ships was difficult and slow.

A truck or train would deliver items to the port. Each item was unloaded separately, recorded, and carried to storage.

When a ship was ready, each item was taken from storage, counted again, and hauled on-board.


The cost of this labor was significant. As one expert at the time explained:

“A four-thousand-mile voyage for a shipment might consume 50 percent of its costs in covering just the two ten-mile movements through two ports.”


Yet, despite the industry’s issues, it felt little pressure to change.

Foreigners were barred from operating domestically. Cartels ran international routes. And gov. subsidies eased the pain of labor costs.

Reshaping the industry needed an outsider.

Enter Malcolm McLean.
HISTORY
Vedic Gyaan
Vedic Gyaan
@vedicgyaanindia
The chorus of this song uses the shlokas taken from Sundarkand of Ramayana.

It is a series of Sanskrit shlokas recited by Jambavant to Hanuman to remind Him of his true potential.

1. धीवर प्रसार शौर्य भरा: The brave persevering one, your bravery is taking you forward.


2. उतसारा स्थिरा घम्भीरा: The one who is leaping higher and higher, who is firm and stable and seriously determined.

3. ुग्रामा असामा शौर्या भावा: He is strong, and without an equal in the ability/mentality to fight

4. रौद्रमा नवा भीतिर्मा: His anger will cause new fears in his foes.

5.विजिटरीपुरु धीरधारा, कलोथरा शिखरा कठोरा: This is a complex expression seen only in Indic language poetry. The poet is stating that Shivudu is experiencing the intensity of climbing a tough peak, and likening

it to the feeling in a hard battle, when you see your enemy defeated, and blood flowing like a rivulet. This is classical Veera rasa.

6.कुलकु थारथिलीथा गम्भीरा, जाया विराट वीरा: His rough body itself is like a sharp weapon (because he is determined to win). Hail this complete

hero of the world.

7.विलयगागनथाला भिकारा, गरज्जद्धरा गारा: The hero is destructive in the air/sky as well (because he can leap at an enemy from a great height). He can defeat the enemy (simply) with his fearsome roar of war.
VEDICGYAN
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STEALTH JEFF
STEALTH JEFF
@drawandstrike
Ok I was wrong about theHouse. 2 years of legislative gridlock = not fun. Few bills passing.

Control of the House is useless when it comes to keeping Trump from declassifying all the SpyGate docs. Or stopping an Inspector General from releasing a report.

Trump still gets control of judicial appointments so we can expect another 100 judges over the next two years. This time there’ll be no McCain or Flake playing the Maverick role with their swing vote.

That new margin in the Senate is huge if another Supreme Court seat comes open.

So from the responses I’m getting, people seem to think if Trump declassifies the Spygate stuff now, nothing happens.

Are you under the impression federal prosecutors have to wait until CONGRESS finishes an investigation and makes criminal referrals before the DOJ can act?

There’s a federal grand jury on McCabe right now. Did Congress ever finish it’s investigation and make a referral to the DOJ against him?

No.

BUT INSPECTOR GENERAL HOROWITZ DID. On finishing his McCabe leak report.

Funny how nobody remembers that.
POLITICS
WORLD OF SANATAN DHARMA
WORLD OF SANATAN DHARM...
@world_sanatan
UNTOLD STORY OF QUEEN BHAVASHANKARI OF BENGAL - A 🧵u must read

Know the role of Naga Sadhus

PART-1

One of the most underrated empires to ever grace India is the kingdom of Bhurshut from central Bengal.

1/


A medieval powerhouse this kingdom stood firm against the Pathan invasion from Orissa twice, and with each time devastating the enemy forces.

Along with this, we also have to note that this was the time when the empire was under the reign of a widowed queen named Bhavashankari.

She wasn’t even born in a royal family and yet she achieved what most of the kings couldn’t do

This begs the question, why does no one remember this great kingdom?

3/

Bhurshut empire thrived from 15th century till late 18th century as an independent kingdom while acting as tributary state with full autonomy.

4/

What’s even more puzzling is that no one knows about the great queen Bhavanshakari who thrashed the Pathans single handedly without the aid of their allies.

5/
ALL
Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
THE UNTOLD TALE OF THE LESSER KNOWN WARRIORS:JOGRAJ GURJAR & RAMPYARI GURJAR AND HOW DID THEY DEFEAT THE CRUELEST ISLAMIC INVADER, TIMUR LANG.

Timur Lang, was the founder of Timurid Empire. He was born in April 1336 CE, somewhere in central asia.


During his reign, he conquered Persia, Egypt, Central Asia and emerged as the most powerful and heinous ruler. He was a religious fanatic like the rest of the Islamic invaders who tried to invade India.

Timur Lang decided to invade India in 1398 as he heard about India's splendid wealth and had a desire to conquer India which his ancestor Genghis Khan couldn't do.


After Firoz Shah's demise in1388, Delhi Sultanate was in a state of political turmoil.During this time, Timur sent his grandson Pir Mohammad to attack Indian front. He invaded Multan&was able to defeat Iqbal Khan's brother but when he met with resistance,he asked help from Timur.


Iqbal Khan secured his hold on Delhi under Muhammad Tughluq after Firoz Shah died.
Timur provided the required back-up to his grandson with 100000 men approx. Timur sacked and plundered all the cities coming in his way &later in October 1398 reunited with his grandson.
ALL