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Symmetry
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Symmetry in Structures
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Symmetry Notes
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Symmetry and Functions
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REFLECTION-AND-LINE-SYMMETRY
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Axis Symmetry Notes
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Flower Shapes and Symmetry
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symmetry-12-00307
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Conjugates and Symmetry Explained
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L3 - Lattices and Symmetry
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Notes on Symmetry and Reflection
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Symmetry in Graphs and Functions
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Graph Intercepts & Symmetry
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Chapter 12 - Molecular Symmetry
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Flashcards (391)
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Symmetric Cryptography
109
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Summery
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Kapitel 1.6 - Symmetrie
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flatness & symmetry
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Central and Axial Symmetry
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Flatness and Symmetry
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# JUPEB WEEK 1: INTEGRATED MASTER PLAN ## ⚡ PHYSICS: Physical Quantities, Dimensions & Vectors ### Core Definitions - Fundamental Quantities: Independent primary metrics (Mass $M$, Length $L$, Time $T$, Temperature $\theta$, Current $I$). - Dimensional Homogeneity: Structural rule stating all terms in an equation must possess matching base units. - Vector vs Scalar: Vectors contain absolute magnitude and directional alignment; scalars express magnitude exclusively. ### Key Formulas - Force Equation Dimensions: $[Force]=M^1L^1T^{-2}$ - Vector Dot Scalar Product: $\vec{A}\cdot\vec{B}=AB\cos\theta$ - Vector Cross Product Magnitude: $|\vec{A}\times\vec{B}|=AB\sin\theta$ ### 25-Mark Theory Essay Practice - Q: Define the principle of dimensional homogeneity and evaluate whether the kinematic function $v^2=u^2+2as$ is dimensionally stable. - Model Points: 1. Define the homogeneity principle clearly. 2. Evaluate left-hand side: $[v^2]=(L^1T^{-1})^2=L^2T^{-2}$. 3. Evaluate right-hand side components: $[u^2]=L^2T^{-2}$ and $[2as]=1\cdot(L^1T^{-2})\cdot(L^1)=L^2T^{-2}$. 4. Compare all terms to confirm matching dimensional arrays ($L^2T^{-2}$), validating structural consistency. --- ## 🧪 CHEMISTRY: Data Measurements, Atomic Structure & Layouts ### Core Definitions - Relative Atomic Mass ($A_r$): Calculated average atomic mass evaluated against $\frac{1}{12}$ of a stable $^{12}C$ isotope. - Orbital Mechanics Rules: Aufbau states lowest energy configurations fill first; Pauli forbids matching quantum states; Hund requires half-filling subshells before pairing. - Measurement Variances: Systematic variations alter accuracy in single directions; random variations alter precision unpredictably. ### Key Electron Configuration Structures - Hydrogen ($H$): $1s^1$ - Carbon ($C$): $1s^2 2s^2 2p^2$ - Oxygen ($O$): $1s^2 2s^2 2p^4$ ### 25-Mark Theory Essay Practice - Q: Describe the four quantum integers ($n,l,m,s$) utilizing electronic energy distributions to account for chromium's exceptional configuration stability. - Model Points: 1. State $n$ (principal energy level), $l$ (orbital subshell shape), $m$ (spatial orientation), and $s$ (spin orientation). 2. Express standard chromium configuration: $[Ar]3d^5 4s^1$. 3. Detail how the symmetric, half-filled $3d^5$ subshell maximizes exchange stability over an un-stabilized $3d^4 4s^2$ layout. --- ## 🧬 BIOLOGY: Scientific Inquiries & Introduction to Biomolecules ### Core Definitions - Scientific Methodology: Empirical loop consisting of Observation $\rightarrow$ Questioning $\rightarrow$ Hypothesis Formulation $\rightarrow$ Empirical Testing $\rightarrow$ Analytical Conclusion. - Condensation Reaction: Synthesis mechanism pairing molecular structures while dropping $H_2O$ units. - Hydrolysis Reaction: Cleavage mechanism splitting polymer chains by introducing reactive $H_2O$ units. ### Structural Biomolecule Frameworks - Monosaccharides: Structural base $(CH_2O)_n$ linking into polysaccharides via glycosidic bridges. - Amino Acids: Built from a central carbon bonded to an amino group ($-NH_2$), a carboxyl group ($-COOH$), and variable side-chains ($-R$). ### 25-Mark Theory Essay Practice - Q: Detail the structured execution of a controlled biological experiment, explaining the role of a null hypothesis ($H_0$) in validating results. - Model Points: 1. Isolate the independent experimental variable while binding all other background constants. 2. Detail quantitative data logging to counter observational bias. 3. Define $H_0$ as a baseline assumption asserting no actual variations exist between test subjects. 4. Use statistics to reject or fail to reject $H_0$, verifying if observed variances stem from variables or simple chance.
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