Quantum programming with Qiskit
https://youtu.be/aPCZcv-5qfA sentdex
This site is to serve as my note-book and to effectively communicate with my students and collaborators. Every now and then, a blog may be of interest to other researchers or teachers. Views in this blog are my own. All rights of research results and findings on this blog are reserved. See also http://youtube.com/c/hongqin @hongqin
https://github.com/oist/Usiigaci
Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning
Chattanooga open data
https://www.chattadata.org/
policing and racial equipty
https://www.chattadata.org/stories/s/26bg-ejs3
in virto human embryonic stem cell study. hESC
ARID1A in H9 hESC were deleted using dual guided-RNA mediated CRISP-Cas9 method.
" Mutations in 4 different SWI/SNF subunits including ARID1A/B were identified in three congenital syndromes that include both neural and cardiac defects: Coffin-Siris syndrome (CSS), Nicolaides- Baraitser syndrome (NCBRS), and ARID1B-related intellectual disability (ID) syndrome Patients with these syndromes show severe intellectual deficits as well as cardiac defects such as atrial/ventricular septal defects, patent ductus
arteriosus (PDA), mitral and pulmonary atresia, aortic stenosis, and single right ventricle. These data indicate that abnormal ARID1A activity can lead to defective formation of both the heart and brain in humans. However, the molecular mechanisms by which ARID1A controls human cardiogenesis and neurogenesis still remain. elusive."
in hESC, Surprisingly, knockout-of-ARID1A in hESCs (ARID1A−/−) led to spontaneous neural. differentiation even under pluripotent stem cell culture conditions. Additionally, under conditions of targeted cardiac differentiation, ARID1A−/− hESCs gave rise to robustly increased numbers of neural cells, including neural stem cells and neurons, whereas cardiac differentiation was significantly suppressed
single-cell RNA reveals spontaneous differentiation neural differentiation in ARIA-/- cells.
So, scRNA data are available for WT and KO in cardiac differential and neural differentiation. Based on my understanding of Liu, GB, 2020, there are WT and ARID1A-/- hESC cells, and the hESC cells are induced for cardiac differentation in CDM3 and neural differentation in N2B27 medium. The scRNA results show ARIDA-/- lead to different clusters of ScRNA in WT and KO in both differentation conditions. So, it seems to me that these data sets can be used to contruct weight single-cell gene network to study network control.
The noise levels seem to be good testing data sets on noises and weight in controllability analysis.
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-02082-4
Shor's factorizing quantum computing algorithm
https://en.wikipedia.org/wiki/Shor%27s_algorithm
A good video: https://youtu.be/lvTqbM5Dq4Q
Shor's video (confusing) https://youtu.be/hOlOY7NyMfs
IBM https://youtu.be/yy6TV9Dntlw
Shor code, quantaum error correction
https://en.wikipedia.org/wiki/Quantum_error_correction#The_Shor_code
Learning through videos involved trials and errors, lessons and failure.
https://www.edutopia.org/article/student-created-videos-classroom
making thinking visible
visible learning (this is different from my SLVideo concept).
https://healthdata.gov/dataset/covid-19-state-and-county-policy-orders
Dr. Dang Modulus aging model discussion
DNA double strand break. Increased in old cells. Gamma H2A, phophlylation. A double strand breaker marker. Conserved in mammalian cells. It does mark single strand break.
https://www.nature.com/articles/leu20106#:~:text=Phosphorylation%20of%20the%20Ser%2D139,DNA%20damage%20initiation%20and%20resolution.
Yeast only has H2A (not H2AX).
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3889172/#:~:text=In%20Saccharomyces%20cerevisiae%2C%20histone%20H2A,about%2050%20kb%20in%20yeast).
Mitosis crisis, short lived. Otherwise, long-lived. G1-death long0-lived. G2-death short lived.
SIR2-OE give third mode.
Rapamycin can be absolved by microfluidic device matrix, so it has been studied by microfluidics, according to Dang's conversation with N Hao
TOR1Delta and SIR2-OE are additive in RLS, based on Dang’s own data. Hong needs to check Kaberlein lab data sets.