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

Andr\xe9 Bothma
André Bothma
@AndreBothmaTax
Tax thread: Employees vs independent contractors.

1. Legally, the two terms are mutually exclusive and are direct opposites... https://t.co/jR0PBMp32M

Employee works for an employer.
Independent contractor is basically an entrepreneur.

2. This highlights two key points:

An employer has some measure of control over the employee.

An "IC" (short for independent contractor) is "his own boss".

It is the responsibility of the employer to determine that a person is either an employee or an IC.

3. Where does PAYE come into play? PAYE is deducted from remuneration. Remuneration applies to employee earnings, whereas for IC's (on certain conditions), their earnings can be excluded from remuneration and therefore no PAYE.

This difference is the scenario of yesterday.

4. There are two important tools: Statutory tests and common law tests. They can be used to determine employee/IC status.

The statutory test is to see if a person is independent from 1: the person paying them;
2 who the work is done for

AND

5. Whether the person is subject to two main things: Control, OR
Supervision

If the person is not independent from the employer (for both the work and the pay) AND the employer has control or supervision of the person - PAYE will apply.
BUSINESS
Randall Hunt
Randall Hunt
@jrhunt
General Warning: don’t work for or hire @IanMmmm - he’s a zero-integrity-self-serving manipulator. He destroyed an entire org at AWS.

He’s the reason I left @awscloud. He’s not just incompetent, he’s dishonest in the extreme. You’re throwing away your career working with him.

Also, pro-tip: record every call you have with a manager that you suspect is lying to you.

Here's what happened: I lost my shit when I didn't get promoted, because I was a child. That's on me. I had worked my ass off for 3 years and Ian said that if I moved to Seattle and signed a non-compete then I would get my promotion. I did those things - I didn't get promoted.

What does losing my shit mean? I sent a message to Ian and others that said "Fuck you, I'm not moving to the depressive hell hole that is Seattle. I'm not signing a non-compete. I'm going to stop working 100 hours a week for a company that doesn't give a shit about me."

Later, I found out that Ian had never actually reached out to anyone about my promo document. He just lied. He just ignored it until the last second because he was too focused on taking credit for my work for his own promo document. He got promoted.
BUSINESS
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We The Inevitable
We The Inevitable
@WeTheInevitable
Former CEO and future former Chairman of ATT RandaII Stephenson fun facts:
>>was chairman of Boy Scouts of America
>>was mentored by CarIos SIim
>>subsequently promoted to CFO of “southwestern bell company” (former name of ATT)
>>quickly resolved $30B in debt
>>is on CFR
😲


https://t.co/wWjV2t3bVB

And he worked for Bush telecoms ? Damn. This is a jackpot

I’m guessing This expIosion wasn’t just some expIosion

https://t.co/s0i05aaWXt

Silver lake


Silver Lake Senior Leadership

https://t.co/YLaUtP8lQa
BUSINESS
Mario Gabriele \U0001f98a
Mario Gabriele 🦊...
@mariodgabriele
Red Bull is a weird and fascinating company.

- $7.4 billion in 2020 revenue
- 43% energy drink market
- Makes nothing

Nope, not even the drinks they sell. Instead, they focus 100% on marketing.

Here's what's going on

1/

Before Red Bull there was Krating Daeng (KD).

Founded by pharmaceutical entrepreneur, Chaleo Yoovidhya, KD was created to serve Thailand's country's working class.

Yoovidhya chose the gaur, a member of the bovine family from the region, as the brand's symbol.


2/

Dietrich Mateschitz was a toothpaste marketer. On a business trip to Thailand he discovered KD and fell in love with the drink.

With Yoovidhya, he decided to bring it to Europe. He made changes:

- Name became "Red Bull"
- Added bubbles
- Used a thin can
- Targeted elites


3/

The deal Mateschitz and Yoovidhya struck outsourced production of the drink to the Thai entrepreneur's pharmaceutical company.

That fundamental structure has remained in place today: Red Bull outsources production and focuses on distribution (marketing).


4/

Mateschitz noticed the rise of extreme sports starting in the 1990s. He thought Red Bull should be a part of it.

The years since have seen the company amass an insane empire across sports, media, and apparel.
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Modelio Equity
Modelio Equity
@Modelio_Sthlm
1. A company that has been brewing just outside our Top-5 for some time now is the electroporation (EP) company MaxCyte. Modelio assesses it as one of the best investments to capture the growing gene editing and gene therapy space, especially in allogeneic ex-vivo treatments.

2. We estimate that MaxCyte stands before a huge inflection point that will accelerate both growth and profitability. We have seen signs of the accelerating underlying activity by the fact that they in the last two years have added 9 of their 12 commercial agreements.

3. What makes MaxCyte unique compared to other “pick-and-shovel” businesses is their claim to milestones and royalties, something usually reserved for pharmaceutical companies.

4. As per the January update, MaxCyte has a potential pool of $950m in milestones, and a 2-3% (our estimates) of sales in royalties, that excludes licenses and consumables for the machines.

5. Reviewing the partners' pipelines, we think milestone revenues will unleash themselves in 2021 and beyond as they move further into clinical trials.
BUSINESS

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Nicolas
Nicolas
@necolas
A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices

https://t.co/qyl4Bt1i5x


PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices

https://t.co/w7oNG5KUkJ


The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.

The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.
TECH
Greg Olear
Greg Olear
@gregolear
Strange things are afoot at the Circle K. Let’s sort it out.

[THREAD]


1/ Two nights ago, Rupert Murdoch called on Mitch McConnell, after hours. Since then, two Fox News-related Twitter accounts have not tweeted.

2/ Trump fired Sessions on Wednesday, replacing him with human dildo/Putin collaborator Matt Whitaker. Sessions had asked to stay until Friday and was told to leave immediately. So there was clearly some urgency to install the dildo...er, puppet.

3/ The Democrats won the SHIT out of the Midterms. Come January, the House check on Trump will leave him so hobbled, he’ll be like the dude from Misery.

4/ Trump went to Paris, ostensibly for an Armistice Day centennial event. He skipped the event, and much of the dinner tonight, because of “weather,” which everyone seems to agree is a bullshit excuse.
POLITICS
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Noah Smith
Noah Smith
@Noahpinion
1/Politics thread time.

To me, the most important aspect of the 2018 midterms wasn't even about partisan control, but about democracy and voting rights. That's the real battle.

2/The good news: It's now an issue that everyone's talking about, and that everyone cares about.

3/More good news: Florida's proposition to give felons voting rights won. But it didn't just win - it won with substantial support from Republican voters.

That suggests there is still SOME grassroots support for democracy that transcends

4/Yet more good news: Michigan made it easier to vote. Again, by plebiscite, showing broad support for voting rights as an

5/OK, now the bad news.

We seem to have accepted electoral dysfunction in Florida as a permanent thing. The 2000 election has never really
POLITICS
Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
Did you know?

When Saudi Arabia's King visited India in 1955, PM Nehru ordered all the Hindu Temples and Idols of Hindu Deities that came in Saudi King's way to be covered up.
Our temples are the architectural marvels in their own league.


Each of our temples tells the story of our rich history and cultural heritage. Was Nehru that ashamed of his own nation's heritage that he had to cover them up or there was some other reason? The answer would be best known to him only.

PM Nehru invited the then Saudi King Saud bin Abdul Aziz to India who accepted the invitation and planned a 17 day long official visit to India in 1955. Saudi King had brought a large delegation with him and he had to visit various Indian cities like Mumbai, Hyderabad, Agra,


Aligarh, Shimla, Mysore and Varanasi. However, when Saudi King reached Varanasi, Nehru ordered to cover all the temples and Idols with curtains that came in the way of the Royal Convoy. During his stay in Varanasi, Govt buildings were painted with the words "Kalma Tayyiba".


'Kalma Tayyiba' means 'There is not God but only Allah and Mohammed is his messenger'. In addition to it, Pooja and Aartis were also stopped at temples. I can call it the appeasement politics of the highest order and Nehru was indeed the greatest appeaser of all times.
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PC\U0001f30e\u262e
PC🌎☮
@pc_432
Moderna CEO Stephane Bancel was previously CEO of bioMerieux in France from 07-10.

Alain Merieux, who owns bioMerieux, was instrumental in the creation of the Wuhan Institute of Virology P4 Lab.

The same people who helped create the virus, also helped to create the vaccines...


Moderna partnered with French Pasteur Institute in 2015 to develop mRNA vaccine technology.

Pasteur Institute partnered with the Wuhan P4 Laboratory in 2017 along with the Merieux Foundation to study emerging viruses...
https://t.co/yFsHwrNYaK
https://t.co/9M5lydBKhM


Nobel prize winning scientist Luc Montagnier asserts that Sars-Cov-2 is man-made and originated from the Wuhan Institute of Virology.

Montagnier did extensive work with the Pasteur Institute in France which was partnered with the Wuhan P4.

Merieux Foundation & the Chinese government have worked together since 1965, and partnered to study emerging pathogens in Africa in 2015.

Their research included "PATHOGENS CARRIED BY BATS" that provoke respiratory diseases.

🚨🚨🚨
https://t.co/gVwpT0ssqI
ALL