smukher2The Javascript Journey A MEAN Full-Stack trailer
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Shradha Mukherjee#Article: Beyond the Standard Model by #BigPictureScience #Podcast #Audio #Tunein http://tun.in/tBlBKI
#ArticleSummary: "Ever heard of a beauty quark? How about a glueball? Physics is full of weird particles that leave many of us scratching our heads. But these tiny particles make up everything in the quantum world and in us and are the basis of the fundamental scientific theory called The Standard Model. But it doesn’t explain everything. It can’t account for dark matter or dark energy, for example. We find out whether new physics experiments might force us to rewrite the Standard Model. Plus, we discuss a NASA proposal to fly spacecraft close to the sun in search of new physics. Guests: Phil Plait – Aka the Bad Astronomer, former astronomer on Hubble, teacher, lecturer and debunker of conspiracy theories. He is also the author of a new book “Under Alien Skies: A Sightseer’s Guide to the Universe.” Harry Cliff – Particle physicist at the University of Cambridge who works on the LHCb experiment at the largest particle physics laboratory in the world, CERN. He is the author of: “Space Oddities, The Mysterious Anomalies Challenging Our Understanding of the Universe.” Slava Turyshev – Research scientist at NASA’s Jet Propulsion Laboratory. Featuring music by Dewey Dellay and Jun Miyake. Big Picture Science is part of the Airwave Media podcast network."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
#BigPictureScience is to Science, what #FreakonomicsRadio is to Economics and #PhilosophizeThis is to Philosophy. Now, this article, rather podcast episode is a fascinating discussion by physicists about the matter as it organizes and changes spatiotemporally in space. It reminded me of Richard Feynman's quote, "I, an atom in the universe; I, an universe of atoms," and Kierkegaard's insight on humans being a "synthesis of finite and infinite". It's intriguing to see how both science and philosophy converge on similar existential conclusions about existence. This inspired me to focus matter as it organizes and changes spatiotemporally in biological systems. In my research, I have focused on the integration of various omics datasets and the development of an integrated computational pipeline for this purpose. Recently, I successfully integrated different gene expression datasets related to heavy metal toxicity but all of one type (transcriptomics) and constructed a machine learning model using this integrated data, here HAL Archive France https://hal.science/hal-04084188 . Currently, my goal is to expand this integration to include different types of omics data (not just transcriptomics) along with imaging data to build advanced machine learning models, deep learning algorithms, and knowledge graphs. I plan to share my work on the HAL Archive France, create tutorials, and make the codes openly available for the scientific community. While exploring multimodal data, I came across the concept of "multi-level" data organization, which highlights the hierarchical structure of organism from molecules to organisms. However, I noticed a common confusion regarding the term "multi-scale," where the term "scale" is often misinterpreted as level rather than spatial or temporal scale. So I want to clear the air on this, because this will be like the first chapter of #fairwissenschaft foundations. Let me explain.
1. Multi-Levels in Biology:
• Biological systems can be studied at different organizational levels, including the molecular, cellular, tissue, organ, organism, population, and ecosystem levels. Each level has distinct properties and interactions contributing to the functioning of living organisms.
• Molecular Level: Involves the study of essential biological molecules such as DNA and proteins.
• Cellular Level: Focuses on the structure and function of cells, including processes like cell division and metabolism.
• Tissue Level: Involves groups of cells working together to perform specific functions, such as muscle and nervous tissue.
• Organ Level: Examines structures composed of different types of tissues working together to carry out specific functions in an organism, like the heart and lungs.
• Organism Level: Studies entire organisms as integrated systems with various organs working together.
• Population Level: Focuses on groups of individuals of the same species and their interactions in a particular area.
• Ecosystem Level: Encompasses all living organisms in a particular area along with their physical environment.
(post continued in comments)
#ArticleSummary: "Ever heard of a beauty quark? How about a glueball? Physics is full of weird particles that leave many of us scratching our heads. But these tiny particles make up everything in the quantum world and in us and are the basis of the fundamental scientific theory called The Standard Model. But it doesn’t explain everything. It can’t account for dark matter or dark energy, for example. We find out whether new physics experiments might force us to rewrite the Standard Model. Plus, we discuss a NASA proposal to fly spacecraft close to the sun in search of new physics. Guests: Phil Plait – Aka the Bad Astronomer, former astronomer on Hubble, teacher, lecturer and debunker of conspiracy theories. He is also the author of a new book “Under Alien Skies: A Sightseer’s Guide to the Universe.” Harry Cliff – Particle physicist at the University of Cambridge who works on the LHCb experiment at the largest particle physics laboratory in the world, CERN. He is the author of: “Space Oddities, The Mysterious Anomalies Challenging Our Understanding of the Universe.” Slava Turyshev – Research scientist at NASA’s Jet Propulsion Laboratory. Featuring music by Dewey Dellay and Jun Miyake. Big Picture Science is part of the Airwave Media podcast network."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
#BigPictureScience is to Science, what #FreakonomicsRadio is to Economics and #PhilosophizeThis is to Philosophy. Now, this article, rather podcast episode is a fascinating discussion by physicists about the matter as it organizes and changes spatiotemporally in space. It reminded me of Richard Feynman's quote, "I, an atom in the universe; I, an universe of atoms," and Kierkegaard's insight on humans being a "synthesis of finite and infinite". It's intriguing to see how both science and philosophy converge on similar existential conclusions about existence. This inspired me to focus matter as it organizes and changes spatiotemporally in biological systems. In my research, I have focused on the integration of various omics datasets and the development of an integrated computational pipeline for this purpose. Recently, I successfully integrated different gene expression datasets related to heavy metal toxicity but all of one type (transcriptomics) and constructed a machine learning model using this integrated data, here HAL Archive France https://hal.science/hal-04084188 . Currently, my goal is to expand this integration to include different types of omics data (not just transcriptomics) along with imaging data to build advanced machine learning models, deep learning algorithms, and knowledge graphs. I plan to share my work on the HAL Archive France, create tutorials, and make the codes openly available for the scientific community. While exploring multimodal data, I came across the concept of "multi-level" data organization, which highlights the hierarchical structure of organism from molecules to organisms. However, I noticed a common confusion regarding the term "multi-scale," where the term "scale" is often misinterpreted as level rather than spatial or temporal scale. So I want to clear the air on this, because this will be like the first chapter of #fairwissenschaft foundations. Let me explain.
1. Multi-Levels in Biology:
• Biological systems can be studied at different organizational levels, including the molecular, cellular, tissue, organ, organism, population, and ecosystem levels. Each level has distinct properties and interactions contributing to the functioning of living organisms.
• Molecular Level: Involves the study of essential biological molecules such as DNA and proteins.
• Cellular Level: Focuses on the structure and function of cells, including processes like cell division and metabolism.
• Tissue Level: Involves groups of cells working together to perform specific functions, such as muscle and nervous tissue.
• Organ Level: Examines structures composed of different types of tissues working together to carry out specific functions in an organism, like the heart and lungs.
• Organism Level: Studies entire organisms as integrated systems with various organs working together.
• Population Level: Focuses on groups of individuals of the same species and their interactions in a particular area.
• Ecosystem Level: Encompasses all living organisms in a particular area along with their physical environment.
(post continued in comments)
Beyond the Standard Model
Listen to this episode and more from Big Picture Science on TuneIn. Ever heard of a beauty quark? How about a glueball? Physics is full of weird particles that leave many of us scratching our heads. But these tiny particles make up everything in the quantum world and in us and are the basis of the fundamental scientific theory called The Standard Model. But it doesn’t explain everything. It can’t account for dark matter or dark energy, for example. We find out whether new physics experiments might force us to rewrite the Standard Model. Plus, we discuss a NASA proposal to fly spacecraft close to the sun in search of new physics. Guests: Phil Plait – Aka the Bad Astronomer, former astronomer on Hubble, teacher, lecturer and debunker of conspiracy theories. He is also the author of a new book “Under Alien Skies: A Sightseer’s Guide to the Universe.” Harry Cliff – Particle physicist at the University of Cambridge who works on the LHCb experiment at the largest particle physics laboratory in the world, CERN. He is the author of: “Space Oddities, The Mysterious Anomalies Challenging Our Understanding of the Universe.” Slava Turyshev – Research scientist at NASA’s Jet Propulsion Laboratory. Featuring music by Dewey Dellay and Jun Miyake You can get early access to ad-free versions of every episode by joining us on Patreon. Thanks for your support! Big Picture Science is part of the Airwave Media podcast network. Please contact [email protected] to inquire about advertising on Big Picture Science. Learn more about your ad choices. Visit megaphone.fm/adchoices
#Article: Under-16s should be banned from using phones #independentcouk #independent.co.uk https://www.independent.co.uk/news/uk/politics/brianna-ghey-government-society-damian-hinds-england-b2516006.html
#Article: Would a ban of social media for children under 16 be the action we need to minimise harmful health effects? #abcnetau #abc.au.net https://www.abc.net.au/news/2024-05-24/social-media-ban-children-under-16-government/103885784
Children's commissioner backs 'under-16s' phone' #bbc #bbcnews https://www.bbc.com/news/articles/cjmdz4plpxwo
#ArticleSummary: "A poll commissioned by Parentkind has found that 83% of parents in #GreatBritain #UK #England believe that smartphones are harmful to children and young people, and 58% believe the government should ban smartphones for under-16s. The figure is even higher among parents of primary school children, with 77% supporting a ban on smartphones for this age group. Concerns over online bullying and access to harmful content were cited as reasons for support. Parentkind is calling on all political parties to include a ban on smartphones for children in their manifestos ahead of the general election."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
I have previously discussed about social media impact on mental health of young adults, and suggested experiments, presently I will expand and clarify some of the points in that article. As #fairwissenschaft product is for the west, these are the principles I will follow, but since I am commited to sharing knowledge in keeping with FAIR principles, I am sharing the idea and methods to apply the idea here, so that more development and research can occus in this field. Basically, when internet is used properly and safely #privacymatters #cybersecurity then internet is a place to observe that drives learnign and application i.e. stimulate curiosity and critical thinking, provide 'pleasure of finding things out' quote Richard Feynman, dive discovery and innovation. Internet web surfing minus the adult crap dark web crap is like "Cloud No 9" quote Bryan Adams song. Let me explain.
#Context
• 1. The Internet as a Tool for Exploration and Learning
• While the Internet is not primarily an educational tool, it offers immense potential for the exploration of new forms of learning, collaboration, and sharing of knowledge, especially in informal learning settings. The internet is a vast place of exploration and discovery, where the knowledge of the world can be searched and found on websites and databases through web surfing. It is accessible to anyone with just a few keystrokes. The internet is a virtual laboratory where anyone can apply the scientific method or a data-driven approach in sciences, humanities, and all knowledge domains to explore, observe, discover, innovate, learn, and apply knowledge across different fields, making anyone a knowledge worker or citizen scientist. The internet is also a place for project-based learning, where one learns by applying knowledge in a project. As Benjamin Franklin said, "Teach me, I forget; show me, I remember; involve me, I learn (and apply)." With some background in sciences and humanities, which is the goal of the project that one does as a labor of love in their leisure time, anyone can get the fundamentals of science and humanities. After that, they are even more prepared to better utilize the power of knowledge across knowledge domains that is present on the internet.
• 2.The Impact of Social Media on Mental Health
• This is how the internet was early on, as described above, before the advent of social media, which not only resulted in echo chambers but also allowed the spread of awful opinions without necessarily having any basis in fact. Excessive use of social media has the potential to negatively impact mental health and everyday functioning, highlighting the importance of raising awareness about the risks associated with its prolonged use.To address this, I try to change this in my own regard by always using citations and references whenever I post something on social media, not only for my website but also for my social media posts. (post continued in comments)
#Article: Would a ban of social media for children under 16 be the action we need to minimise harmful health effects? #abcnetau #abc.au.net https://www.abc.net.au/news/2024-05-24/social-media-ban-children-under-16-government/103885784
Children's commissioner backs 'under-16s' phone' #bbc #bbcnews https://www.bbc.com/news/articles/cjmdz4plpxwo
#ArticleSummary: "A poll commissioned by Parentkind has found that 83% of parents in #GreatBritain #UK #England believe that smartphones are harmful to children and young people, and 58% believe the government should ban smartphones for under-16s. The figure is even higher among parents of primary school children, with 77% supporting a ban on smartphones for this age group. Concerns over online bullying and access to harmful content were cited as reasons for support. Parentkind is calling on all political parties to include a ban on smartphones for children in their manifestos ahead of the general election."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
I have previously discussed about social media impact on mental health of young adults, and suggested experiments, presently I will expand and clarify some of the points in that article. As #fairwissenschaft product is for the west, these are the principles I will follow, but since I am commited to sharing knowledge in keeping with FAIR principles, I am sharing the idea and methods to apply the idea here, so that more development and research can occus in this field. Basically, when internet is used properly and safely #privacymatters #cybersecurity then internet is a place to observe that drives learnign and application i.e. stimulate curiosity and critical thinking, provide 'pleasure of finding things out' quote Richard Feynman, dive discovery and innovation. Internet web surfing minus the adult crap dark web crap is like "Cloud No 9" quote Bryan Adams song. Let me explain.
#Context
• 1. The Internet as a Tool for Exploration and Learning
• While the Internet is not primarily an educational tool, it offers immense potential for the exploration of new forms of learning, collaboration, and sharing of knowledge, especially in informal learning settings. The internet is a vast place of exploration and discovery, where the knowledge of the world can be searched and found on websites and databases through web surfing. It is accessible to anyone with just a few keystrokes. The internet is a virtual laboratory where anyone can apply the scientific method or a data-driven approach in sciences, humanities, and all knowledge domains to explore, observe, discover, innovate, learn, and apply knowledge across different fields, making anyone a knowledge worker or citizen scientist. The internet is also a place for project-based learning, where one learns by applying knowledge in a project. As Benjamin Franklin said, "Teach me, I forget; show me, I remember; involve me, I learn (and apply)." With some background in sciences and humanities, which is the goal of the project that one does as a labor of love in their leisure time, anyone can get the fundamentals of science and humanities. After that, they are even more prepared to better utilize the power of knowledge across knowledge domains that is present on the internet.
• 2.The Impact of Social Media on Mental Health
• This is how the internet was early on, as described above, before the advent of social media, which not only resulted in echo chambers but also allowed the spread of awful opinions without necessarily having any basis in fact. Excessive use of social media has the potential to negatively impact mental health and everyday functioning, highlighting the importance of raising awareness about the risks associated with its prolonged use.To address this, I try to change this in my own regard by always using citations and references whenever I post something on social media, not only for my website but also for my social media posts. (post continued in comments)
#Article: Annual greenhouse gas emissions https://ourworldindata.org/grapher/total-ghg-emissions
Jones et al. (2024) – with major processing by Our World in Data. “Annual greenhouse gas emissions”, “National contributions to climate change 2024.1” [original data]. Retrieved May 23, 2024 from https://ourworldindata.org/grapher/total-ghg-emissions
#ArticleSummary: "Annual greenhouse gas emissions are measured in tonnes of carbon dioxide-equivalents over a 100-year timescale and include carbon dioxide, methane, and nitrous oxide from all sources, including land-use change. The data is based on the work of Jones et al. and has been processed by Our World in Data. Land-use change emissions can be negative. The data is available for exploration through tables, maps, and charts. The measured emissions range from 1850 to 2022. Our World in Data is an open-access project that relies on data providers and encourages proper citation. The project is part of the Global Change Data Lab, a registered charity in England and Wales."
By #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.com #www.smukher2.net #www.smukher2.org #smukher2 To #Everyone:
Agnus Harvey, you're wrong, nobody "missed" the so called "good news" you had to speak about, its rather that intelligent people ignored your BAD LIES AND COVERUP FOR CHINA. In response to half-truth presentation lies by Angus Harvey at #TedTalksDaily #TedTalk #Ted
#Statement by Presenter, Agnus Harvey:
"The good news you might have missed" https://www.ted.com/talks/angus_hervey_the_good_news_you_might_have_missed #TedTalksDaily #TedTalk #Ted
Agnus, said that "50% of developed countries have reduced emission of greenhouse gases to levels 50 years back..." he also mentioned China is doing a great job at reducing greenhouse emmisons and China has created conservation regions in Tibet.
#Fact Check by Me, Shradha Mukherjee:
Data1 (screenshot): https://ourworldindata.org/grapher/total-ghg-emissions?tab=chart&country=European+Union+%2828%29~USA~GBR~CHN~AUS~CAN~NZL
Data2 (screenshot): https://ourworldindata.org/co2-dataset-sources
Inference: Sure, developed western countries green house gas CO2 emmission has gone down, they were not the biggest polluters anyways, 2.19 in 1974 to 1.91 billion tons in 2022. But your biggest polluters China greenhouse gas CO2 emmission has gone up, from 2.37 billion tons in 1974 to 13.94 billion tons in 2022.
Global greenhouse gas CO2 emmission has gone up from 17 billion tons in 1974 to 37.15 billion tons in 2022.
#Discussion:
Agnus Harvey is cherry picking and presenting the data in such a way so as to make Chine look like a non-polluter. This is not fair wissenschaft #fairissenschaft. To say it bluntly Angus Hervey is a liar. In the first few minuites I had already heard enough lies, Agnus Harvey lost all credibility.
Ted Talks, #TedTalksDaily #TedTalk #Ted I am a huge fan and respect your work much, I use your talks as references for #fairwissenschaft. Thus, to uphold your high standards I request you to please remove Agnus Harvey video and podcast, similar to how in academia fake publications are retracted. Also, how in academia people write rebutal to another's fake retracted publications, I have done the rebuttal here to rebuff his false claims. I have shared the screenshots of the data and the links where I got it from so that you and everyone can verify the facts for themselves. Also, I have experience with giving seminars such as at internationally acclaimed conferences, namely Keystone Conference and Gordon Conference, so if you like I will be happy to give a rebuttal talk with citation -- unlike Agnus Harvey who did not have citations for obvious reasons, he was lying.
Mother Earth is in existential crisis, let's not confound the problem by spreading such lies.
P.S. Is Agnus Harvey funded by China? I would not be surprised.
P.S. Tibet belongs to Tibetans, Tibet does not belong to China.
Jones et al. (2024) – with major processing by Our World in Data. “Annual greenhouse gas emissions”, “National contributions to climate change 2024.1” [original data]. Retrieved May 23, 2024 from https://ourworldindata.org/grapher/total-ghg-emissions
#ArticleSummary: "Annual greenhouse gas emissions are measured in tonnes of carbon dioxide-equivalents over a 100-year timescale and include carbon dioxide, methane, and nitrous oxide from all sources, including land-use change. The data is based on the work of Jones et al. and has been processed by Our World in Data. Land-use change emissions can be negative. The data is available for exploration through tables, maps, and charts. The measured emissions range from 1850 to 2022. Our World in Data is an open-access project that relies on data providers and encourages proper citation. The project is part of the Global Change Data Lab, a registered charity in England and Wales."
By #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.com #www.smukher2.net #www.smukher2.org #smukher2 To #Everyone:
Agnus Harvey, you're wrong, nobody "missed" the so called "good news" you had to speak about, its rather that intelligent people ignored your BAD LIES AND COVERUP FOR CHINA. In response to half-truth presentation lies by Angus Harvey at #TedTalksDaily #TedTalk #Ted
#Statement by Presenter, Agnus Harvey:
"The good news you might have missed" https://www.ted.com/talks/angus_hervey_the_good_news_you_might_have_missed #TedTalksDaily #TedTalk #Ted
Agnus, said that "50% of developed countries have reduced emission of greenhouse gases to levels 50 years back..." he also mentioned China is doing a great job at reducing greenhouse emmisons and China has created conservation regions in Tibet.
#Fact Check by Me, Shradha Mukherjee:
Data1 (screenshot): https://ourworldindata.org/grapher/total-ghg-emissions?tab=chart&country=European+Union+%2828%29~USA~GBR~CHN~AUS~CAN~NZL
Data2 (screenshot): https://ourworldindata.org/co2-dataset-sources
Inference: Sure, developed western countries green house gas CO2 emmission has gone down, they were not the biggest polluters anyways, 2.19 in 1974 to 1.91 billion tons in 2022. But your biggest polluters China greenhouse gas CO2 emmission has gone up, from 2.37 billion tons in 1974 to 13.94 billion tons in 2022.
Global greenhouse gas CO2 emmission has gone up from 17 billion tons in 1974 to 37.15 billion tons in 2022.
#Discussion:
Agnus Harvey is cherry picking and presenting the data in such a way so as to make Chine look like a non-polluter. This is not fair wissenschaft #fairissenschaft. To say it bluntly Angus Hervey is a liar. In the first few minuites I had already heard enough lies, Agnus Harvey lost all credibility.
Ted Talks, #TedTalksDaily #TedTalk #Ted I am a huge fan and respect your work much, I use your talks as references for #fairwissenschaft. Thus, to uphold your high standards I request you to please remove Agnus Harvey video and podcast, similar to how in academia fake publications are retracted. Also, how in academia people write rebutal to another's fake retracted publications, I have done the rebuttal here to rebuff his false claims. I have shared the screenshots of the data and the links where I got it from so that you and everyone can verify the facts for themselves. Also, I have experience with giving seminars such as at internationally acclaimed conferences, namely Keystone Conference and Gordon Conference, so if you like I will be happy to give a rebuttal talk with citation -- unlike Agnus Harvey who did not have citations for obvious reasons, he was lying.
Mother Earth is in existential crisis, let's not confound the problem by spreading such lies.
P.S. Is Agnus Harvey funded by China? I would not be surprised.
P.S. Tibet belongs to Tibetans, Tibet does not belong to China.
#Article: Can Big Tech Be Disrupted? A conversation with Columbia Business School professor Jonathan Knee by Alison Beard by #HarvardBusinessReview https://hbr.org/2022/01/can-big-tech-be-disrupted
#ArticleSummary: "The potential for disruption in the big tech industry, focusing on companies like Facebook (now Meta), Amazon, Apple, Google (now Alphabet), and Microsof. While these tech giants have achieved tremendous success and dominance in their respective markets, there are indications that they are not invulnerable to disruption. The article highlights the weaknesses and challenges faced by each company, including threats from start-ups and competitors. It also emphasizes the importance of focusing on customer pain points and starting small when trying to topple a tech titan. The author, Jonathan Knee, a Columbia Business School professor, provides insights into the strategies these companies could employ to defend themselves. Key points to note include the dominance and market cap of these tech companies, the challenges they face despite their success, and the need for strategic adaptation in the face of disruption."
#Article: THE TELEGRAPH: I tried to survive 24 hours without using ‘Big Five’ tech – and my life became impossible #telegraph.co.uk https://economicsecurityproject.org/news/the-telegraph-i-tried-to-survive-24-hours-without-using-big-five-tech-and-my-life-became-impossible/ or https://www.telegraph.co.uk/news/2024/03/30/big-tech-detective-avoid-microsoft-apple-amazon-google-meta/
#ArticleSummary: "The Telegraph published an article discussing the influence of Google, Amazon, Microsoft, Meta, and Apple on various aspects of our lives. The article emphasizes the dominant role played by these tech giants and how their presence affects our daily activities. It states, "You may not realise it, but the DNA of Google, Amazon, Microsoft, Meta and Apple dominates so much of what we do." The article was originally published by The Telegraph."
By #www.smukher2.eu #www.smukher2.com #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
I was trying to download latest Geany and VS Codium on my Linux/Ubuntu (unlike Satya Nadella's Microsoft's VS Code, this VS Codium does not spy on you i.e. it does not collect Telemetry) . FYI, my Ubuntu/Linux is a dual boot system, so that I am not forced to use Satya Nadella's Windows OS on my PC laptop -- using Satya Nadella's Microsoft is like being 'Between the devil and the deep blue sea" when it comes to cybersecurity cause Satya Nadella's Microsoft itself does not respect user privacy, and on top of that its vulnerable to hackers due to weak security. I searched for Geany and VS Codium in the Ubuntu Software Center. While Geany successfully installed through the Ubuntu Software Center, VS Codium did not. To resolve this, I decided to give Flatpack/Flathub a try, and I found that VS Codium installed smoothly through this method. Although I could have used 'sudo apt' or 'sudo apt-get' commands in the Terminal to install these software packages, I chose to utilize the graphical interface (App Store) of the Ubuntu Software Center and Flatpack/Flathub. This decision was motivated by the upcoming tutorials/classes on my #fairwissenschaft website, where I will be focusing on Linux/Ubuntu. It is crucial to demonstrate the user-friendly nature of these systems, especially for beginners, to ensure they feel comfortable and not overwhelmed by the command line interface. Therefore, I showcased the installation process through the GUI versions of Ubuntu Software Center and Flatpack/Flathub before delving into Terminal usage.
Previously, I wanted to use 3 BigTech tools, Mac OS (will use Canonical Ubuntu instead), Google Colabs (will use Jupyter notebook Anaconda instead) and Amazon Cloud AWS (wil use OVHcloud, Oracle instead), (who are better than Alibab, Tiktok, Microsoft and Meta as my previous posts have discussed) but I decided not to include any BigTech because there is a lot of good products out there in the western civilization (EU, UK, Aus, NZ, Can, US), that can be used without compromising cybersecurity (privacy and security). The latter are either free and/or they treat users as customers not products, i.e. unlike BigTech they don't sell our data.
(post continued in comments)
#ArticleSummary: "The potential for disruption in the big tech industry, focusing on companies like Facebook (now Meta), Amazon, Apple, Google (now Alphabet), and Microsof. While these tech giants have achieved tremendous success and dominance in their respective markets, there are indications that they are not invulnerable to disruption. The article highlights the weaknesses and challenges faced by each company, including threats from start-ups and competitors. It also emphasizes the importance of focusing on customer pain points and starting small when trying to topple a tech titan. The author, Jonathan Knee, a Columbia Business School professor, provides insights into the strategies these companies could employ to defend themselves. Key points to note include the dominance and market cap of these tech companies, the challenges they face despite their success, and the need for strategic adaptation in the face of disruption."
#Article: THE TELEGRAPH: I tried to survive 24 hours without using ‘Big Five’ tech – and my life became impossible #telegraph.co.uk https://economicsecurityproject.org/news/the-telegraph-i-tried-to-survive-24-hours-without-using-big-five-tech-and-my-life-became-impossible/ or https://www.telegraph.co.uk/news/2024/03/30/big-tech-detective-avoid-microsoft-apple-amazon-google-meta/
#ArticleSummary: "The Telegraph published an article discussing the influence of Google, Amazon, Microsoft, Meta, and Apple on various aspects of our lives. The article emphasizes the dominant role played by these tech giants and how their presence affects our daily activities. It states, "You may not realise it, but the DNA of Google, Amazon, Microsoft, Meta and Apple dominates so much of what we do." The article was originally published by The Telegraph."
By #www.smukher2.eu #www.smukher2.com #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
I was trying to download latest Geany and VS Codium on my Linux/Ubuntu (unlike Satya Nadella's Microsoft's VS Code, this VS Codium does not spy on you i.e. it does not collect Telemetry) . FYI, my Ubuntu/Linux is a dual boot system, so that I am not forced to use Satya Nadella's Windows OS on my PC laptop -- using Satya Nadella's Microsoft is like being 'Between the devil and the deep blue sea" when it comes to cybersecurity cause Satya Nadella's Microsoft itself does not respect user privacy, and on top of that its vulnerable to hackers due to weak security. I searched for Geany and VS Codium in the Ubuntu Software Center. While Geany successfully installed through the Ubuntu Software Center, VS Codium did not. To resolve this, I decided to give Flatpack/Flathub a try, and I found that VS Codium installed smoothly through this method. Although I could have used 'sudo apt' or 'sudo apt-get' commands in the Terminal to install these software packages, I chose to utilize the graphical interface (App Store) of the Ubuntu Software Center and Flatpack/Flathub. This decision was motivated by the upcoming tutorials/classes on my #fairwissenschaft website, where I will be focusing on Linux/Ubuntu. It is crucial to demonstrate the user-friendly nature of these systems, especially for beginners, to ensure they feel comfortable and not overwhelmed by the command line interface. Therefore, I showcased the installation process through the GUI versions of Ubuntu Software Center and Flatpack/Flathub before delving into Terminal usage.
Previously, I wanted to use 3 BigTech tools, Mac OS (will use Canonical Ubuntu instead), Google Colabs (will use Jupyter notebook Anaconda instead) and Amazon Cloud AWS (wil use OVHcloud, Oracle instead), (who are better than Alibab, Tiktok, Microsoft and Meta as my previous posts have discussed) but I decided not to include any BigTech because there is a lot of good products out there in the western civilization (EU, UK, Aus, NZ, Can, US), that can be used without compromising cybersecurity (privacy and security). The latter are either free and/or they treat users as customers not products, i.e. unlike BigTech they don't sell our data.
(post continued in comments)
Can Big Tech Be Disrupted?
The tech giants Facebook (now Meta), Amazon, Apple, Google (now Alphabet), Microsoft, and Netflix are all so successful—and generate so much cash—that they seem virtually unstoppable. Yet according to Jonathan Knee, a Columbia Business School professor and veteran investment banker specializing in media and tech, even the digital superpowers face threats. In this interview he shares an analysis of the weaknesses and strengths of the large tech companies and the strategies they might use to defend themselves.
#Article: From Helmholtz Monthly 04/24 by #Helmholtz #Berlin #Germany #EU https://www.helmholtz.de/en/helmholtz-monthly-april-24/
#ArticleSymmary: "
● Helmholtz invests 23 million euros in research on foundational AI models
● Startup-savvy researchers present project ideas
● Precise localization of miniature robots and surgical instruments inside the body
● Three questions for Philipp Schaps
● The essential role of large-scale research facilities for high-tech societies - Beate Heinemann‘s point of view"
#Article: The polymath with a sense of practice. Our namesake: Hermann von Helmholtz (1821-1894) was one of the last true polymaths by #Helmholtz #Berlin #Germany #EU https://www.helmholtz.de/en/about-us/who-we-are/history/hermann-von-helmholtz/
#ArticleSummary: "
Namesake: Hermann von Helmholtz, a renowned natural scientist of the 19th century.
Hermann von Helmholtz: A polymath who excelled in various fields such as medicine, physics, and chemistry.
Contributions:
- Bridging the gap between theory, experiment, and practical application.
- Founded the Physikalisch-Technische Reichsanstalt, the world's first non-university research center.
Legacy: Helmholtz Association named after him, symbolizing diversity in natural science research and a focus on technological practice."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
Germany's prestigious Helmholtz institute is named after Hermann von Helmholtz, who is one of the fantastic heroes in #fairwissenschaft. I wanted to discuss the AI models, but as I started the introduction talking about Helmholtz and Kant, who are heroes of #wissenschaft, the post became so long discussing AI models here became beyond the scope of this post, this post became about the scientific philosophical method, rather wissenschaft method that the likes of Helmholtz, Kant and Humboldt built. Indeed, #wissenschaft which is part of the name #fairwissenschaft is so called as science and philosophy go hand in hand, together enabling us to understand the world. So we need both Kant and Helmholtz approach, as demonstrated by the life and work of Alexander von Humboldt. Let me explain.
German scientist and philosopher Hermann von Helmholtz was a polymath, renowned for his contributions to meteorology, mathematics, physiology, optics, equations of vortex motions and electrodynamics, and equipment inventions ophthalmometer, and ophthalmoscope. Helmholtz had ancestral links to both the US and UK, as he was a descendant of William Penn who was British and the founder of the American Commonwealth of Pennsylvania. Early 19th-century "nature philosophy," founded by Immanuel Kant and Johann Gottlieb Fichte, was a speculative science that felt scientific conclusions could be drawn from philosophical concepts rather than from empirical data obtained from observations of the natural world. "Nature philosophy" was philosophical speculation i.e. only thinking and not driven by data from observations and experiments. Helmholtz spent a lot of his later career disproving this theory. His contributions paved the way for additional study and advancements and had a profound effect on a number of scientific domains. Helmholtz's philosophy was influenced by Kantian epistemology, particularly the concept of Anschauung (intuition). However, he modified Kant's ideas by emphasizing the empirical nature of intuition. Helmholtz advocated for an empirically grounded approach to science and emphasized the importance of experimentation, observation, and testing of hypotheses. His engagement with Kant's concept of Anschauung sheds light on the complexities of the relationship between philosophy and science in the 19th century.
Alexander von Humboldt was a naturalist and explorer in the 19th century who integrated philosophical and aesthetic perspectives into his scientific work. Humboldt's engagement with philosophy, particularly the ideas of Goethe and Schiller, enriched his scientific inquiries by encouraging him to consider the aesthetic dimensions of nature. He viewed the natural world as a "web of life" and saw beauty as an integral aspect of it. His seminal work "Kosmos" contextualized his scientific findings within a broader intellectual framework. The fruitful collaboration between science and philosophy has led to deeper insights into biological systems and the nature of reality. Integrating empirical investigation with philosophical reflection can lead to a more nuanced and holistic understanding of the world.
(post continued in comments)
#ArticleSymmary: "
● Helmholtz invests 23 million euros in research on foundational AI models
● Startup-savvy researchers present project ideas
● Precise localization of miniature robots and surgical instruments inside the body
● Three questions for Philipp Schaps
● The essential role of large-scale research facilities for high-tech societies - Beate Heinemann‘s point of view"
#Article: The polymath with a sense of practice. Our namesake: Hermann von Helmholtz (1821-1894) was one of the last true polymaths by #Helmholtz #Berlin #Germany #EU https://www.helmholtz.de/en/about-us/who-we-are/history/hermann-von-helmholtz/
#ArticleSummary: "
Namesake: Hermann von Helmholtz, a renowned natural scientist of the 19th century.
Hermann von Helmholtz: A polymath who excelled in various fields such as medicine, physics, and chemistry.
Contributions:
- Bridging the gap between theory, experiment, and practical application.
- Founded the Physikalisch-Technische Reichsanstalt, the world's first non-university research center.
Legacy: Helmholtz Association named after him, symbolizing diversity in natural science research and a focus on technological practice."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
Germany's prestigious Helmholtz institute is named after Hermann von Helmholtz, who is one of the fantastic heroes in #fairwissenschaft. I wanted to discuss the AI models, but as I started the introduction talking about Helmholtz and Kant, who are heroes of #wissenschaft, the post became so long discussing AI models here became beyond the scope of this post, this post became about the scientific philosophical method, rather wissenschaft method that the likes of Helmholtz, Kant and Humboldt built. Indeed, #wissenschaft which is part of the name #fairwissenschaft is so called as science and philosophy go hand in hand, together enabling us to understand the world. So we need both Kant and Helmholtz approach, as demonstrated by the life and work of Alexander von Humboldt. Let me explain.
German scientist and philosopher Hermann von Helmholtz was a polymath, renowned for his contributions to meteorology, mathematics, physiology, optics, equations of vortex motions and electrodynamics, and equipment inventions ophthalmometer, and ophthalmoscope. Helmholtz had ancestral links to both the US and UK, as he was a descendant of William Penn who was British and the founder of the American Commonwealth of Pennsylvania. Early 19th-century "nature philosophy," founded by Immanuel Kant and Johann Gottlieb Fichte, was a speculative science that felt scientific conclusions could be drawn from philosophical concepts rather than from empirical data obtained from observations of the natural world. "Nature philosophy" was philosophical speculation i.e. only thinking and not driven by data from observations and experiments. Helmholtz spent a lot of his later career disproving this theory. His contributions paved the way for additional study and advancements and had a profound effect on a number of scientific domains. Helmholtz's philosophy was influenced by Kantian epistemology, particularly the concept of Anschauung (intuition). However, he modified Kant's ideas by emphasizing the empirical nature of intuition. Helmholtz advocated for an empirically grounded approach to science and emphasized the importance of experimentation, observation, and testing of hypotheses. His engagement with Kant's concept of Anschauung sheds light on the complexities of the relationship between philosophy and science in the 19th century.
Alexander von Humboldt was a naturalist and explorer in the 19th century who integrated philosophical and aesthetic perspectives into his scientific work. Humboldt's engagement with philosophy, particularly the ideas of Goethe and Schiller, enriched his scientific inquiries by encouraging him to consider the aesthetic dimensions of nature. He viewed the natural world as a "web of life" and saw beauty as an integral aspect of it. His seminal work "Kosmos" contextualized his scientific findings within a broader intellectual framework. The fruitful collaboration between science and philosophy has led to deeper insights into biological systems and the nature of reality. Integrating empirical investigation with philosophical reflection can lead to a more nuanced and holistic understanding of the world.
(post continued in comments)
#Article: Deep Learning by John D. Kelleher shared as 'good reading' by #IvankaTrump https://www.instagram.com/ivankatrump
#Article: Deep Learning by John D. Kelleher | #Goodreads https://www.goodreads.com/book/show/44512612-deep-learning
#ArticleSummary: "John D. Kelleher is a Professor of Computer Science and the Academic Leader of the Information, Communication, and Entertainment Research Institute at the Dublin Institute of Technology. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
Deep learning is a subset of machine learning, which is a type of artificial intelligence (AI) that involves training neural networks to recognize patterns in data. Deep learning algorithms are designed to mimic the way the human brain processes and learns from information. These algorithms can be used in various applications such as image and speech recognition, natural language processing, and autonomous vehicles. After briefly browsing through this great book recommended and kindly shared by #Ivanka, I decided to add it to #fairwissenschaft Steam Books list. I borrowed this and other books by John D. Kelleher from digital libraries such as the Internet Archiveand this review is based on my initial speed reading review. The author has two books published by MIT Press and another listed below. Together, these books will be valuable in today's data-driven world of science, art, education, and research.
Though I appreciate that John Kelleher is fair, i.e. he gives citations and acknowledgements, so he is not a plagerizer. But he is not FAIR (Findable, Accessible, Interoperable, and Reusable) as unfortunately, this book does not provide codes, nor does published recent papers by author where he is major author (first and/or corresponding author). Let me explain,
1) In the 2019 #Frontiers #FrontiersInNeuroscience paper titled "A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease" by John Kelleher, he states, "Researchers interested in the code and/or model can contact the authors and the data will be made available (either through direct communication or through reference to a public repository)." This is not a valid excuse as data can be anonymized or pseudo data can be provided. In any case, it has been five years, and they have still not "made the data available" as they stated in the paper.
2) Additionally, coding platforms are easily accessible thanks to Google Colab, Amazon AWS, and Anaconda, so excuses such as 'coding is very complicated' are not valid. Sharing codes and data (anonymized or pseudo-data) has no restrictions, so it must be published upfront; otherwise, such educational and research work has no lasting value.
3) The scientific review process continues after publication, where other scientists can reuse the work with proper citation and acknowledgment, verifying its validity. It's not unheard of that a published paper is found to be fake because scientists cherry-picked data or results, or worse, manipulated them. For example, recently a fMRI paper published in #Nature #SpringerNature turned out to be fake when other scientists tried to verify it by using the described method. The practice of not sharing data, codes, or methods, be it dry lab or wet lab, is not in line with the FAIR principles that are essential for transparent and collaborative research.
(post continued in comments)
#Article: Deep Learning by John D. Kelleher | #Goodreads https://www.goodreads.com/book/show/44512612-deep-learning
#ArticleSummary: "John D. Kelleher is a Professor of Computer Science and the Academic Leader of the Information, Communication, and Entertainment Research Institute at the Dublin Institute of Technology. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges."
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone:
Deep learning is a subset of machine learning, which is a type of artificial intelligence (AI) that involves training neural networks to recognize patterns in data. Deep learning algorithms are designed to mimic the way the human brain processes and learns from information. These algorithms can be used in various applications such as image and speech recognition, natural language processing, and autonomous vehicles. After briefly browsing through this great book recommended and kindly shared by #Ivanka, I decided to add it to #fairwissenschaft Steam Books list. I borrowed this and other books by John D. Kelleher from digital libraries such as the Internet Archiveand this review is based on my initial speed reading review. The author has two books published by MIT Press and another listed below. Together, these books will be valuable in today's data-driven world of science, art, education, and research.
Though I appreciate that John Kelleher is fair, i.e. he gives citations and acknowledgements, so he is not a plagerizer. But he is not FAIR (Findable, Accessible, Interoperable, and Reusable) as unfortunately, this book does not provide codes, nor does published recent papers by author where he is major author (first and/or corresponding author). Let me explain,
1) In the 2019 #Frontiers #FrontiersInNeuroscience paper titled "A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease" by John Kelleher, he states, "Researchers interested in the code and/or model can contact the authors and the data will be made available (either through direct communication or through reference to a public repository)." This is not a valid excuse as data can be anonymized or pseudo data can be provided. In any case, it has been five years, and they have still not "made the data available" as they stated in the paper.
2) Additionally, coding platforms are easily accessible thanks to Google Colab, Amazon AWS, and Anaconda, so excuses such as 'coding is very complicated' are not valid. Sharing codes and data (anonymized or pseudo-data) has no restrictions, so it must be published upfront; otherwise, such educational and research work has no lasting value.
3) The scientific review process continues after publication, where other scientists can reuse the work with proper citation and acknowledgment, verifying its validity. It's not unheard of that a published paper is found to be fake because scientists cherry-picked data or results, or worse, manipulated them. For example, recently a fMRI paper published in #Nature #SpringerNature turned out to be fake when other scientists tried to verify it by using the described method. The practice of not sharing data, codes, or methods, be it dry lab or wet lab, is not in line with the FAIR principles that are essential for transparent and collaborative research.
(post continued in comments)
#Article: European Parliament narrowly endorses EU migration reform, moving it closer to the finish line by #euronews https://www.euronews.com/my-europe/2024/04/10/european-parliament-narrowly-endorses-eu-migration-reform-moving-it-closer-to-the-finish-l
#ArticleSummary: "The European Parliament has narrowly approved the wide-reaching reform of the European Union's migration and asylum policy. Health and security checks will also be carried out.The Asylum and Migration Management Regulation (AMMR) establishes a system of "mandatory solidarity" that will offer member states three options to manage migration flows: relocate a certain number of asylum seekers, pay €20,000 for each claimant they refuse to relocate, or finance operational support."
#Article: Half of Europeans disapprove of EU migration policy and demand stronger border controls, poll shows #euronews https://www.euronews.com/my-europe/2024/03/26/half-of-europeans-disapprove-of-eu-migration-policy-and-demand-stronger-border-controls-po
#ArticleSummary: "Europeans give a thumbs down to the European Union's efforts to control irregular migration and demand stronger border controls. Meanwhile, 32% say the impact has been "neither positive nor negative."
#Article: UK Government action in 2023 to stop the boats #UK https://homeofficemedia.blog.gov.uk/2024/01/02/uk-government-action-in-2023-to-stop-the-boats
#ArticleSummary: "Tackling Illegal migration Illegal Working raids – Immigration enforcement raids up 68%.
Successes include targeting the food delivery sector, conducting more than 250 enforcement visits and 380 arrests involving food delivery drivers in 2023, supported by a new agreement with Uber Eats, Deliveroo and Just Eat to tackle illegal working."
#Article: BONUS: The Stakes of Immigration with Aaron Reichlin-Melnick #US #TheChrisHayesPodcast #WhyIsThisHappening #TheRachelMaddowShow #ApplePodcast (or wherever you get your podcast) https://podcasts.apple.com/us/podcast/bonus-the-stakes-of-immigration-with/id1679657705?i=1000651918259
#ArticleSummary: This week, Aaron Reichlin-Melnick, policy director at the American Immigration Council, joins to unpack immigration policies under (US Government), the state of the asylum system, and more.
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone #US #UK #EU #Australia #NewZealand #Canada:
Disclaimer: This is not a political endorsement of anyone, so please ignore any political mentions in the list of links above, I picked these articles above as representative articles that contain facts, so please focus on the facts and not the political distraction. I used terms like European Parliament, UK Government and US Government to avoid politics. I am just giving my #fairwissenschaft based interdisciplinary analysis since as a polymath I can look for multidisciplinary solutions, which is essential for solving complex problems. So now here's my review about the illegal immigration topic articles.
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone #US #UK #EU #Australia #NewZealand #Canada:
Illegal immigration it’s like a disease that plagues civilised countries. For treating any disease when conventional treatment approach does not work then P4 medicine (predictive, preventive, personalized and participatory as pioneered by Leroy Hood) also known as precision medicine or personalised medicine is used. I added, another P (programmable) making it P5 medicine. P5 here, Predictive i.e. predict disease, Preventive i.e. prevent disease, Personalized i.e. each individual data (genomics, physiological, digital, health history) is stored analyzed and treatment recommended, Participatory i.e. patients and healthy people participate in scientific research studies and Programmable i.e. computation AI (Artificial Intelligence) ML (Machine Learning) robotics Neuralink chips, digital wearables like Apple watch are used. P5 medicine uses Systems or holistic approach that is takes the whole body and microbiome into consideration I like conventional medicine which takes a reductionist approach that focuses on only the organ that is effected by disease. P5 medicine makes heavy use of modern technologies i.e. it uses big data from genomics or comics data (DNA, RNA and protein) and does computations like bioinformatics, data science and more recently ML/AI on it. Both P5 medicine and conventional medicine, require mechanistic studies in animal model and cell culture models, and final clinical trial before getting regulatory approval (like from FDA) for usage in practice everywhere. Conventional medicine and P5 medicine together, i.e. a combinatorial approach often results in best outcome for curing disease. Likewise for treating illegal immigration we need P5 approach in combination with traditional approach. P5 sustainable approach to immigration self-funds itself.
(Post continued in comments)
#ArticleSummary: "The European Parliament has narrowly approved the wide-reaching reform of the European Union's migration and asylum policy. Health and security checks will also be carried out.The Asylum and Migration Management Regulation (AMMR) establishes a system of "mandatory solidarity" that will offer member states three options to manage migration flows: relocate a certain number of asylum seekers, pay €20,000 for each claimant they refuse to relocate, or finance operational support."
#Article: Half of Europeans disapprove of EU migration policy and demand stronger border controls, poll shows #euronews https://www.euronews.com/my-europe/2024/03/26/half-of-europeans-disapprove-of-eu-migration-policy-and-demand-stronger-border-controls-po
#ArticleSummary: "Europeans give a thumbs down to the European Union's efforts to control irregular migration and demand stronger border controls. Meanwhile, 32% say the impact has been "neither positive nor negative."
#Article: UK Government action in 2023 to stop the boats #UK https://homeofficemedia.blog.gov.uk/2024/01/02/uk-government-action-in-2023-to-stop-the-boats
#ArticleSummary: "Tackling Illegal migration Illegal Working raids – Immigration enforcement raids up 68%.
Successes include targeting the food delivery sector, conducting more than 250 enforcement visits and 380 arrests involving food delivery drivers in 2023, supported by a new agreement with Uber Eats, Deliveroo and Just Eat to tackle illegal working."
#Article: BONUS: The Stakes of Immigration with Aaron Reichlin-Melnick #US #TheChrisHayesPodcast #WhyIsThisHappening #TheRachelMaddowShow #ApplePodcast (or wherever you get your podcast) https://podcasts.apple.com/us/podcast/bonus-the-stakes-of-immigration-with/id1679657705?i=1000651918259
#ArticleSummary: This week, Aaron Reichlin-Melnick, policy director at the American Immigration Council, joins to unpack immigration policies under (US Government), the state of the asylum system, and more.
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone #US #UK #EU #Australia #NewZealand #Canada:
Disclaimer: This is not a political endorsement of anyone, so please ignore any political mentions in the list of links above, I picked these articles above as representative articles that contain facts, so please focus on the facts and not the political distraction. I used terms like European Parliament, UK Government and US Government to avoid politics. I am just giving my #fairwissenschaft based interdisciplinary analysis since as a polymath I can look for multidisciplinary solutions, which is essential for solving complex problems. So now here's my review about the illegal immigration topic articles.
By #www.smukher2.com #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.org #www.smukher2.net #smukher2 to #Everyone #US #UK #EU #Australia #NewZealand #Canada:
Illegal immigration it’s like a disease that plagues civilised countries. For treating any disease when conventional treatment approach does not work then P4 medicine (predictive, preventive, personalized and participatory as pioneered by Leroy Hood) also known as precision medicine or personalised medicine is used. I added, another P (programmable) making it P5 medicine. P5 here, Predictive i.e. predict disease, Preventive i.e. prevent disease, Personalized i.e. each individual data (genomics, physiological, digital, health history) is stored analyzed and treatment recommended, Participatory i.e. patients and healthy people participate in scientific research studies and Programmable i.e. computation AI (Artificial Intelligence) ML (Machine Learning) robotics Neuralink chips, digital wearables like Apple watch are used. P5 medicine uses Systems or holistic approach that is takes the whole body and microbiome into consideration I like conventional medicine which takes a reductionist approach that focuses on only the organ that is effected by disease. P5 medicine makes heavy use of modern technologies i.e. it uses big data from genomics or comics data (DNA, RNA and protein) and does computations like bioinformatics, data science and more recently ML/AI on it. Both P5 medicine and conventional medicine, require mechanistic studies in animal model and cell culture models, and final clinical trial before getting regulatory approval (like from FDA) for usage in practice everywhere. Conventional medicine and P5 medicine together, i.e. a combinatorial approach often results in best outcome for curing disease. Likewise for treating illegal immigration we need P5 approach in combination with traditional approach. P5 sustainable approach to immigration self-funds itself.
(Post continued in comments)
#ArticleSummary: "Apple may hire Google to build Gemini AI engine into next-generation iPhone" by #CBSnews
Apple is exploring a potential deal with Google to integrate Google's Gemini AI engine into Apple's iPhones. The deal could help Apple receive or retain payment from Google and enhance its upcoming iOS 18. It is part of a race between Google and Microsoft for dominance over generative AI. Apple has also spoken to Microsoft's OpenAI about using its service. The potential deal could bolster iPhone sales and make the iPhone 16 a game-changing release. Google's Gemini AI chatbot faced controversy for generating inaccurate historical depictions.
https://www.cbsnews.com/news/apple-google-ai-gemini-iphone-openai
RT #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.com #www.smukher2.net #www.smukher2.org #smukher2 To #Apple #TimCook #Google #SundarPichai #Everyone:I think this collaboration between #Apple, #TimCook, and #Google, #SundarPichai, is great for both. It's still in talks, so we'll see what finally happens. Its mutually beneficial, like a symbiosis should be, for Apple it will be learning from AI experts Google, and for Google it will be learning from Apple's AI tech. Google is usually hasty with deployment, especially for AI because they are an AI first company, so sometimes run into failures like Gemini AI version 1, while Apple is more careful with deployment because for Apple it is always quality over quantity, be it AI or a new device we never thought we would need (we thought we only needed the iPhone, but Apple showed us we needed the iPad too). It's De Javu, the collaboration method invented by Steve Jobs and perfected by Tim Cook. This concept of "meaningful partnership" was originally innovated at Apple by Steve Jobs in collaboration with Bill Gates and Microsoft, but it took Tim Cook's methodical, organized genius to perfect it. Ergo, Apple has never had the need to break anti-trust rules to acquire; first, they try to do it themselves (self-made), and if they can't, they are humble enough to accept that others do better, so they collaborate. Sure, "Steve Jobs made Apple, but Tim Cook made Apple the most successful company in the world"—quote from the video Apple: The House that Tim Cook Built (see references). My appreciation for innovating, specifically building technology while respecting user privacy and security, started with this 2019 talk at the Stanford Commencement. Tim Cook's commencement address at Stanford in 2019 focused on privacy, technology, and the importance of standing up for what you believe in. He emphasized the role of technology in our lives and the responsibility that comes with it. Cook also discussed the power of privacy and how it shapes our society. These lessons I use even today when I think about #fairwissenschaft.
Here's curious trivia about Sundar Pichai and me: he was born in Tamil Nadu, India, and went to IIT in West Bengal, India (IIT Kharagpur for BTech), while I was born in West Bengal, India, and went to IIT in Tamil Nadu, India (IIT Madras for MS Chemistry).In Madras, I got more exposure to great #Rajnikanth's movies in original Tamil (my colleagues were kind to translate it to me) and thus realized the true greatness of #RajaniSir #Thalaiva (Rajnikanth, he's on my #fairwissenschaft fantastic 222 list; soon the list will be increased to 250 as I forgot to add Houdini et al.) and also got more exposure to the variety of South Indian cuisine, which made me realize that my favorite South Indian food is not dosa or idli but tamarind rice with ice cream. This adding ice cream to tamarind rice bit was my innovation, and I loved it, but for inexplicable reason it didn't quite catch on. I guess the reason is "what is food to one man (here woman me), is poison to another." My only regret is that the only Tamil language I picked up was "Tamil teriyade" (I don't know how to speak Tamil), because it would be an honor to watch Rajni Sir's movies in Tamil without need of a translator. But that regret is less now because Rajni Sir is kind enough to also make his great movies available in Hindi (which I understand), and when that's not available, there's always #Google, #YouTube's subtitles, and #Google's #GoogleTranslate. After ITT, Sundar Pichai went to Stanford, US, and the rest is history. He proved his metal and worked his way up to become CEO of Google, but here's some trivia about him that few people know: he was also in consideration for the Microsoft CEO position, which eventually went to Satya Nadella. Yeah, you heard me right, Google and Microsoft both wanted Sundar Pichai to be CEO.
(references in comment)
Apple is exploring a potential deal with Google to integrate Google's Gemini AI engine into Apple's iPhones. The deal could help Apple receive or retain payment from Google and enhance its upcoming iOS 18. It is part of a race between Google and Microsoft for dominance over generative AI. Apple has also spoken to Microsoft's OpenAI about using its service. The potential deal could bolster iPhone sales and make the iPhone 16 a game-changing release. Google's Gemini AI chatbot faced controversy for generating inaccurate historical depictions.
https://www.cbsnews.com/news/apple-google-ai-gemini-iphone-openai
RT #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.com #www.smukher2.net #www.smukher2.org #smukher2 To #Apple #TimCook #Google #SundarPichai #Everyone:I think this collaboration between #Apple, #TimCook, and #Google, #SundarPichai, is great for both. It's still in talks, so we'll see what finally happens. Its mutually beneficial, like a symbiosis should be, for Apple it will be learning from AI experts Google, and for Google it will be learning from Apple's AI tech. Google is usually hasty with deployment, especially for AI because they are an AI first company, so sometimes run into failures like Gemini AI version 1, while Apple is more careful with deployment because for Apple it is always quality over quantity, be it AI or a new device we never thought we would need (we thought we only needed the iPhone, but Apple showed us we needed the iPad too). It's De Javu, the collaboration method invented by Steve Jobs and perfected by Tim Cook. This concept of "meaningful partnership" was originally innovated at Apple by Steve Jobs in collaboration with Bill Gates and Microsoft, but it took Tim Cook's methodical, organized genius to perfect it. Ergo, Apple has never had the need to break anti-trust rules to acquire; first, they try to do it themselves (self-made), and if they can't, they are humble enough to accept that others do better, so they collaborate. Sure, "Steve Jobs made Apple, but Tim Cook made Apple the most successful company in the world"—quote from the video Apple: The House that Tim Cook Built (see references). My appreciation for innovating, specifically building technology while respecting user privacy and security, started with this 2019 talk at the Stanford Commencement. Tim Cook's commencement address at Stanford in 2019 focused on privacy, technology, and the importance of standing up for what you believe in. He emphasized the role of technology in our lives and the responsibility that comes with it. Cook also discussed the power of privacy and how it shapes our society. These lessons I use even today when I think about #fairwissenschaft.
Here's curious trivia about Sundar Pichai and me: he was born in Tamil Nadu, India, and went to IIT in West Bengal, India (IIT Kharagpur for BTech), while I was born in West Bengal, India, and went to IIT in Tamil Nadu, India (IIT Madras for MS Chemistry).In Madras, I got more exposure to great #Rajnikanth's movies in original Tamil (my colleagues were kind to translate it to me) and thus realized the true greatness of #RajaniSir #Thalaiva (Rajnikanth, he's on my #fairwissenschaft fantastic 222 list; soon the list will be increased to 250 as I forgot to add Houdini et al.) and also got more exposure to the variety of South Indian cuisine, which made me realize that my favorite South Indian food is not dosa or idli but tamarind rice with ice cream. This adding ice cream to tamarind rice bit was my innovation, and I loved it, but for inexplicable reason it didn't quite catch on. I guess the reason is "what is food to one man (here woman me), is poison to another." My only regret is that the only Tamil language I picked up was "Tamil teriyade" (I don't know how to speak Tamil), because it would be an honor to watch Rajni Sir's movies in Tamil without need of a translator. But that regret is less now because Rajni Sir is kind enough to also make his great movies available in Hindi (which I understand), and when that's not available, there's always #Google, #YouTube's subtitles, and #Google's #GoogleTranslate. After ITT, Sundar Pichai went to Stanford, US, and the rest is history. He proved his metal and worked his way up to become CEO of Google, but here's some trivia about him that few people know: he was also in consideration for the Microsoft CEO position, which eventually went to Satya Nadella. Yeah, you heard me right, Google and Microsoft both wanted Sundar Pichai to be CEO.
(references in comment)
Apple may hire Google to build Gemini AI engine into next-generation iPhone
Apple possibly partnering with Google on AI feature as iPhone maker works on developing new operating system.
RT #www.smukher2.eu #www.smukher2.co.uk #www.smukher2.com #www.smukher2.net #www.smukher2.org #smukher2 To #Everyone #ProspectiveEmployees namely organizations like #Academia #FundingAgencies #ResearchJournals #TechCompanies #BiopharmaCompanies:
Today I was answering a job application questionnaire designed to evaluate my soft skills. These questions predominantly focused on evaluating my work style and people skills. I figured, all my prospective employers must have these question about me so decided to provide a gist of it here.
To sum up my soft skills as knowledge worker in 3 sentences (also see attached 2 images),
1) I believe in 'keep calm and respect your boss' (coffee mug quote), so I say "yes minister" (yes boss) when boss assigns me knowledge work no matter how hard the work or how long the todo list. (ref: Yes Minister is title of one of my favorite comedy shows https://www.imdb.com/title/tt0080306/)
2) ability (talent) In knowledge domain and knowledge work, I have proven merit, ability to learn, ability to problem solve and am trainable for knowledge work, so I am proactive at knowledge work and am best fit for knowledge work.
3) hardworking (not lazy) I am sincere and have ability to work hard, so when you hire me you can be rest assured that I will not time steal from you -- time stealing is same as stealing money from boss because boss pays me for my time to do knowledge work. Time stealing, I define as wasting my getting involved in people's knowledge work instead of focusing on my knowledge work.
Let me explain these 3 points further:
Setting boundaries at work is key. I get paid to work so I invest 100% of my work time to work. Sure I talk to people about work when I have to about work, to get work done. Example I will tell lab reagent supplier to send in more reagents if reagent I need for experiment at work runs out, their job to supply and its my job to buy -- I'm not asking for favors.
I ignore or say no to volunteering my help (do favors) at workplace to anyone because I don't want to waste, rather time steal even 1% of my work time, because I am sincere and my boss pays me for my work time. I gather the courage to say no to time waste at work by remembering the advise of #WarrenBuffett that "Really Successful People Say No To Almost Everything" (ref: Learn more about Warren Buffett https://www.britannica.com/biography/Warren-Edward-Buffett).
Now remember, I said earlier I am "yes minister" (yes boss) type. So the only way to get me to help others by reviewing their work, doing their work, fixing and problem solving their work, and furthermore training/teaching/mentoring them is by making it my job to do this as per direct order from boss. Here my work becomes both knowledge work and people work. Example During my PhD and postdoc, I mentored several talented and hardworking, students/postdocs assigned to me by my boss and did a great job.
Now, what about my hobby knowledge work like #fairwissenschaft project, review of science/tech/humanities/arts news and reviews I do for scientific journals like Nature Cell Frontiers? Well, I do this hobby knowledge work because of 2) i.e. I have both aptitude and drive for knowledge work, so I always give my best to knowledge work. Its said "an empty mind is devil's workshop", so I also do #fairwissenschaft project and reviews to prevent crappy frustration that comes from unemployment (I'm unemployed now) and to hone my knowledge work skills so that when by God's grace I get job again, I can hit the ground running. Once employed, it will be my boss' decision if I should continue with #fairwissenschaft and reviews for journals or not, once again applying 'yes minister' principle. (continued in comment)
Today I was answering a job application questionnaire designed to evaluate my soft skills. These questions predominantly focused on evaluating my work style and people skills. I figured, all my prospective employers must have these question about me so decided to provide a gist of it here.
To sum up my soft skills as knowledge worker in 3 sentences (also see attached 2 images),
1) I believe in 'keep calm and respect your boss' (coffee mug quote), so I say "yes minister" (yes boss) when boss assigns me knowledge work no matter how hard the work or how long the todo list. (ref: Yes Minister is title of one of my favorite comedy shows https://www.imdb.com/title/tt0080306/)
2) ability (talent) In knowledge domain and knowledge work, I have proven merit, ability to learn, ability to problem solve and am trainable for knowledge work, so I am proactive at knowledge work and am best fit for knowledge work.
3) hardworking (not lazy) I am sincere and have ability to work hard, so when you hire me you can be rest assured that I will not time steal from you -- time stealing is same as stealing money from boss because boss pays me for my time to do knowledge work. Time stealing, I define as wasting my getting involved in people's knowledge work instead of focusing on my knowledge work.
Let me explain these 3 points further:
Setting boundaries at work is key. I get paid to work so I invest 100% of my work time to work. Sure I talk to people about work when I have to about work, to get work done. Example I will tell lab reagent supplier to send in more reagents if reagent I need for experiment at work runs out, their job to supply and its my job to buy -- I'm not asking for favors.
I ignore or say no to volunteering my help (do favors) at workplace to anyone because I don't want to waste, rather time steal even 1% of my work time, because I am sincere and my boss pays me for my work time. I gather the courage to say no to time waste at work by remembering the advise of #WarrenBuffett that "Really Successful People Say No To Almost Everything" (ref: Learn more about Warren Buffett https://www.britannica.com/biography/Warren-Edward-Buffett).
Now remember, I said earlier I am "yes minister" (yes boss) type. So the only way to get me to help others by reviewing their work, doing their work, fixing and problem solving their work, and furthermore training/teaching/mentoring them is by making it my job to do this as per direct order from boss. Here my work becomes both knowledge work and people work. Example During my PhD and postdoc, I mentored several talented and hardworking, students/postdocs assigned to me by my boss and did a great job.
Now, what about my hobby knowledge work like #fairwissenschaft project, review of science/tech/humanities/arts news and reviews I do for scientific journals like Nature Cell Frontiers? Well, I do this hobby knowledge work because of 2) i.e. I have both aptitude and drive for knowledge work, so I always give my best to knowledge work. Its said "an empty mind is devil's workshop", so I also do #fairwissenschaft project and reviews to prevent crappy frustration that comes from unemployment (I'm unemployed now) and to hone my knowledge work skills so that when by God's grace I get job again, I can hit the ground running. Once employed, it will be my boss' decision if I should continue with #fairwissenschaft and reviews for journals or not, once again applying 'yes minister' principle. (continued in comment)
