Forwarded from @TahaYasseri (Taha Yasseri)
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پیاده روی و پژوهش - فصل ۲ - قسمت ۱:
تولد ۲۰سالگی گوگل و رمز موفقیت موتور جستجوی آن
لینک آپارات: https://www.aparat.com/v/WGELY
@TahaYasseri
تولد ۲۰سالگی گوگل و رمز موفقیت موتور جستجوی آن
لینک آپارات: https://www.aparat.com/v/WGELY
@TahaYasseri
🗞 Scipy lecture notes new release: an open online book (also in PDF) on the scientific and data ecosystem in Python
http://www.scipy-lectures.org/
#pydata #scipy
http://www.scipy-lectures.org/
#pydata #scipy
💧 This quarter, Terry Tao is teaching a course (Math 254A) on topics in the mathematical theory of incompressible fluid equations.
Notes 0: Physical derivation of the incompressible Euler and Navier–Stokes equations:
https://terrytao.wordpress.com/2018/09/03/254a-notes-0-physical-derivation-of-the-incompressible-euler-and-navier-stokes-equations/amp/
Notes 0: Physical derivation of the incompressible Euler and Navier–Stokes equations:
https://terrytao.wordpress.com/2018/09/03/254a-notes-0-physical-derivation-of-the-incompressible-euler-and-navier-stokes-equations/amp/
What's new
254A, Notes 0: Physical derivation of the incompressible Euler and Navier-Stokes equations
This coming fall quarter, I am teaching a class on topics in the mathematical theory of incompressible fluid equations, focusing particularly on the incompressible Euler and Navier-Stokes equations…
caldarelli2018.pdf
642 KB
“Physics of humans, physics for society” discusses why Physics should deal with social systems and what are the challenges ahead of us.
https://t.co/Zap1R3RmR4
https://t.co/Zap1R3RmR4
Complex Systems Studies
https://t.co/tpdOkjAVgW
Announcing the launch of Dataset Search, a new way for researchers to find the datasets they need, wherever they’re hosted, whether it’s a publisher's site, a digital library, or an author's personal web page. Learn more at
https://t.co/tpdOkjAVgW
https://t.co/tpdOkjAVgW
Google
Making it easier to discover datasets
In today's world, scientists in many disciplines and a growing number of journalists live and breathe data. There are many thousands of data repositories on the web, providing access to millions of datasets; and local and national governments around the world…
We are extremely happy to announce that the website of #WWCS2019 is already on-line!
https://t.co/yiCUxpFkgw
A lot of news coming up shortly.
Stay tuned!
https://t.co/yiCUxpFkgw
A lot of news coming up shortly.
Stay tuned!
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📺 #پیشنهادی_برای_دیدن
دختر جبر ، زندگی مریم میرزاخانی
✍🏻به روایت فرزاد کاظم زاده
⏱27دقیقه، 92 مگابایت⚠️
🆔 @ComplexSys
دختر جبر ، زندگی مریم میرزاخانی
✍🏻به روایت فرزاد کاظم زاده
⏱27دقیقه، 92 مگابایت⚠️
🆔 @ComplexSys
Earn your Master's in Data Science online from Syracuse in as few as 18 months. Bachelor's required. https://t.co/Fg8av4vTiV
〽️Weekly Seminars of Condensed Matter and Statistical Physics Group
📝Statistical physics of medical diagnostics
فیزیک آماری مسألهی تشخیص بیماری
🗣 Speaker:
Dr. Abolfazl Ramezanpour
Department of Physics, Shiraz University
⏱Wednesday, September 12, 2018 (۲۱ شهریور)
14:00-15:00
🏛Seminar Room (classroom A), Farmanieh Building, IPM
✍🏻Abstract:
Statistical physics has been widely used to extract macroscopic properties of a wide range of systems from their microscopic interaction models, yet it has not been employed to medical diagnostics. Given an initial subset of observed signs (symptoms, clinical and laboratory findings) with some prior knowledge about the patient (or a complex system like a biological cell), a diagnosis problem simply asks for the most probable diseases (or macrostates with specific phenotypes). An efficient and accurate diagnostic procedure is important specially in the early stages of diseases, where the number and quality of medical evidences are often insufficient to reach a definite diagnosis. Here, we use approximate inference and optimization algorithms of statistical physics to show that a simulation (extrapolation) of the diagnostic process (without doing any real observation) could be helpful as a heuristic strategy in the study of diagnosis problems.
🌐 @ComplexSys
📝Statistical physics of medical diagnostics
فیزیک آماری مسألهی تشخیص بیماری
🗣 Speaker:
Dr. Abolfazl Ramezanpour
Department of Physics, Shiraz University
⏱Wednesday, September 12, 2018 (۲۱ شهریور)
14:00-15:00
🏛Seminar Room (classroom A), Farmanieh Building, IPM
✍🏻Abstract:
Statistical physics has been widely used to extract macroscopic properties of a wide range of systems from their microscopic interaction models, yet it has not been employed to medical diagnostics. Given an initial subset of observed signs (symptoms, clinical and laboratory findings) with some prior knowledge about the patient (or a complex system like a biological cell), a diagnosis problem simply asks for the most probable diseases (or macrostates with specific phenotypes). An efficient and accurate diagnostic procedure is important specially in the early stages of diseases, where the number and quality of medical evidences are often insufficient to reach a definite diagnosis. Here, we use approximate inference and optimization algorithms of statistical physics to show that a simulation (extrapolation) of the diagnostic process (without doing any real observation) could be helpful as a heuristic strategy in the study of diagnosis problems.
🌐 @ComplexSys