1) Enzymes: Definition, Isozymes, Oligomeric enzymes, Multi-enzyme Complexes; Components of Enzymes
2) Classification & Nomenclature of Enzymes
3) Theories of action of enzymes: Collision Theory, Transition State Theory
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
1) Enzymes: Definition, Isozymes, Oligomeric enzymes, Multi-enzyme Complexes; Components of Enzymes
2) Classification & Nomenclature of Enzymes
3) Theories of action of enzymes: Collision Theory, Transition State Theory
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Theory of Relativity
Maybe travelling in time is an interesting topic. Also the idea of the flow of time at high speeds is a difficult idea to understand. But did you know that in 1905, someone dared to think differently. He is Albert Einstein. Questions such as, what will you see if you are moving at the speed of light? Well, it is argued that light speed is the maximum speed that is available in the entire universe. The speed of light was calculated by Maxwell using the equations of Electromagnetic wave.
c=√(1/(ε_o μ_o ))
We were able to understand that anything that has speed travels a certain distance in space in amount of time.
Einstein argued that measurements done on physically observable quantity must be uniform in all inertial reference frame. The problem is there is no such as universal reference frame. This gives rise to the assumption that everyone is moving relative to one another. This would give rise to another claim that is, “measurements taken from one reference frame, will be different from measurements taken from other frame of reference”. This argument is absurd because it will mean that laws of physics were different for different reference frames. The theory of relativity holds to the fact that the laws of physics were the same for all inertial reference frames.
This will be eminent when we apply the concept of the Doppler Effect to sound. We know that whenever the source of the sound moves with a velocity V_s, with respect to the observer there will be a change in the measured frequency. Furthermore there will be more measurements that can be made depending on the observer. So how do we determine the real frequency of the sound emitted by the source?
Another instance is when we are on board a plane with some velocity Vplane and we fire a bullet the relative velocity of the bullet on an stationary observer will be;
V=Vbullet+Vplane
Which is correct in Galilean transformation. Now what if we turn on the headlight of a plane? Would it mean that the speed of light will be the velocity of the plane + the speed of light? (v=c) ?. Absolutely not, because this will violate the premise that, “the speed of light is constant in a vacuum”.
Clearly from the two instances there must be a different formula that will unify measurements made on different reference frame. This method is called transformation.
So let us create two equation that will unify measurements in these two instances. The first instance is at the plane, the observer at the plane will have (x,y,z,t). and the observer from the earth will us the coordinates (x^',y^',z^',t^'). So which is it the spaceship is moving away from the earth or the earth is moving away from the spaceship. To fix this, we assume that the origin O and O^'coincide and are parallel to one another at all times. Further more we let t and t^' be equal that is t= t^'.
and more....
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
The results offer methods for identifying types of structurally significant people in on-line applications, and suggest a potential expansion of existing theories of tie strength.
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Mpc 006 - 02-01 product moment coefficient of correlationVasant Kothari
1.2 Correlation: Meaning and Interpretation
1.2.1 Scatter Diagram: Graphical Presentation of Relationship
1.2.2 Correlation: Linear and Non-Linear Relationship
1.2.3 Direction of Correlation: Positive and Negative
1.2.4 Correlation: The Strength of Relationship
1.2.5 Measurements of Correlation
1.2.6 Correlation and Causality
1.3 Pearson’s Product Moment Coefficient of Correlation
1.3.1 Variance and Covariance: Building Blocks of Correlations
1.3.2 Equations for Pearson’s Product Moment Coefficient of Correlation
1.3.3 Numerical Example
1.3.4 Significance Testing of Pearson’s Correlation Coefficient
1.3.5 Adjusted r
1.3.6 Assumptions for Significance Testing
1.3.7 Ramifications in the Interpretation of Pearson’s r
1.3.8 Restricted Range
1.4 Unreliability of Measurement
1.4.1 Outliers
1.4.2 Curvilinearity
1.5 Using Raw Score Method for Calculating r
1.5.1 Formulas for Raw Score
1.5.2 Solved Numerical for Raw Score Formula
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Theory of Relativity
Maybe travelling in time is an interesting topic. Also the idea of the flow of time at high speeds is a difficult idea to understand. But did you know that in 1905, someone dared to think differently. He is Albert Einstein. Questions such as, what will you see if you are moving at the speed of light? Well, it is argued that light speed is the maximum speed that is available in the entire universe. The speed of light was calculated by Maxwell using the equations of Electromagnetic wave.
c=√(1/(ε_o μ_o ))
We were able to understand that anything that has speed travels a certain distance in space in amount of time.
Einstein argued that measurements done on physically observable quantity must be uniform in all inertial reference frame. The problem is there is no such as universal reference frame. This gives rise to the assumption that everyone is moving relative to one another. This would give rise to another claim that is, “measurements taken from one reference frame, will be different from measurements taken from other frame of reference”. This argument is absurd because it will mean that laws of physics were different for different reference frames. The theory of relativity holds to the fact that the laws of physics were the same for all inertial reference frames.
This will be eminent when we apply the concept of the Doppler Effect to sound. We know that whenever the source of the sound moves with a velocity V_s, with respect to the observer there will be a change in the measured frequency. Furthermore there will be more measurements that can be made depending on the observer. So how do we determine the real frequency of the sound emitted by the source?
Another instance is when we are on board a plane with some velocity Vplane and we fire a bullet the relative velocity of the bullet on an stationary observer will be;
V=Vbullet+Vplane
Which is correct in Galilean transformation. Now what if we turn on the headlight of a plane? Would it mean that the speed of light will be the velocity of the plane + the speed of light? (v=c) ?. Absolutely not, because this will violate the premise that, “the speed of light is constant in a vacuum”.
Clearly from the two instances there must be a different formula that will unify measurements made on different reference frame. This method is called transformation.
So let us create two equation that will unify measurements in these two instances. The first instance is at the plane, the observer at the plane will have (x,y,z,t). and the observer from the earth will us the coordinates (x^',y^',z^',t^'). So which is it the spaceship is moving away from the earth or the earth is moving away from the spaceship. To fix this, we assume that the origin O and O^'coincide and are parallel to one another at all times. Further more we let t and t^' be equal that is t= t^'.
and more....
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
The results offer methods for identifying types of structurally significant people in on-line applications, and suggest a potential expansion of existing theories of tie strength.
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Mpc 006 - 02-01 product moment coefficient of correlationVasant Kothari
1.2 Correlation: Meaning and Interpretation
1.2.1 Scatter Diagram: Graphical Presentation of Relationship
1.2.2 Correlation: Linear and Non-Linear Relationship
1.2.3 Direction of Correlation: Positive and Negative
1.2.4 Correlation: The Strength of Relationship
1.2.5 Measurements of Correlation
1.2.6 Correlation and Causality
1.3 Pearson’s Product Moment Coefficient of Correlation
1.3.1 Variance and Covariance: Building Blocks of Correlations
1.3.2 Equations for Pearson’s Product Moment Coefficient of Correlation
1.3.3 Numerical Example
1.3.4 Significance Testing of Pearson’s Correlation Coefficient
1.3.5 Adjusted r
1.3.6 Assumptions for Significance Testing
1.3.7 Ramifications in the Interpretation of Pearson’s r
1.3.8 Restricted Range
1.4 Unreliability of Measurement
1.4.1 Outliers
1.4.2 Curvilinearity
1.5 Using Raw Score Method for Calculating r
1.5.1 Formulas for Raw Score
1.5.2 Solved Numerical for Raw Score Formula
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
sifat - sifat logaritma yang sering kita pelajari terkadang hanya sekedar kita hafalkan saja tanpa mengetahui dari mana sifat tersebut berasal berikut saya sajikan slide dalam pembuktian masing2 sifat logaritma,.. untuk penjelasannya kalian dapat menyaksikan video di youtube...
untuk penjelasan dari slide share ini dapat kalian simak videonya pada link berikut :
https://youtu.be/JSU5gWgnrDU
The "Instrumental Variables" webinar, presented by Peter Lance, was the fifth and final webinar in a series of discussions on the popular MEASURE Evaluation manual, How Do We Know If a Program Made a Difference? A Guide to Statistical Methods for Program Impact Evaluation.
This webinar by Peter Lance considered impact evaluation estimation methods based on an identification strategy that assumes we can observe all factors that influence both program participation and the outcome of interest. It was the third webinar in a series of discussions on the popular MEASURE Evaluation manual, How Do We Know If a Program Made a Difference? A Guide to Statistical Methods for Program Impact Evaluation.
SUEC 高中 Adv Maths (Quadratic Equation in One Variable)tungwc
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
A deep introduction to supervised and unsupervised Machine Learning with examples in R.
Techniques covered for Regression:
- Linear Regression
- Polynomial Regression
Techniques covered for Classification:
- Simple and Multiple Logistic Regression
- Linear and Quadratic Discriminant Analysis
- K-Nearest Neighbors
Clustering:
- K-Means clustering
- Hierarchical clustering
Sources:
Visual - various maths sites (credits to original creator)
Questions - Dong Zong's Textbook
suitable for SUEC (Maths), SPM (Maths and Add Maths) too
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/