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Notes (1960)
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Notatki z Metabolizmu i Enzymów
Updated 531d ago
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Budowa Komórki Bakteriejnej
Updated 240d ago
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Enzymy - Wykład V
Updated 511d ago
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Untitled
Updated 317d ago
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Mikrobiologia II - Wykłady
Updated 247d ago
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Hydrolysis
Updated 24d ago
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Synthesis and Hydrolysis
Updated 33m ago
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Salt Hydrolysis
Updated 29d ago
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hydrolysis/dehydration
Updated 337d ago
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Hydrolysis Notes
Updated 524d ago
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Hydrolysis of Salts
Updated 519d ago
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Hydrolysis and dehydration
Updated 972d ago
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Hydrolysis of Salts
Updated 1524d ago
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Metabolizm i Enzymy
Updated 65d ago
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hydrolysis and micro metrics
Updated 637d ago
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Flashcards (224)
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Synthesis and Hydrolysis
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Updated 33m ago
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Hydrolysis of Esters
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Updated 2d ago
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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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Updated 10d ago
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Synthesis and Hydrolysis
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Updated 22d ago
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