Level 5 — MasteryWhat Is Biology & Characteristics of Life

What Is Biology & Characteristics of Life

75 minutes60 marksprintable — key stays hidden on paper

Chapter 1: What Is Biology & Characteristics of Life

LEVEL 5 — Mastery (Cross-domain: Biology + Math + Physics + Coding)

Time limit: 75 minutes Total marks: 60 Instructions: Answer ALL three questions. Show reasoning, derivations, and code logic. Use ...... for mathematics and SI units throughout.


Question 1 — Homeostasis as a Control System (20 marks)

A mammal maintains core body temperature at a setpoint Ts=37.0CT_s = 37.0\,^\circ\text{C}. Physiologists model deviation from setpoint using Newton's law of cooling combined with a proportional metabolic feedback term. Let T(t)T(t) be body temperature and TeT_e the ambient temperature. The governing equation is:

dTdt=k(TTe)+c(TsT)\frac{dT}{dt} = -k\,(T - T_e) + c\,(T_s - T)

where k=0.10 min1k = 0.10\ \text{min}^{-1} is the passive heat-loss constant, c=0.40 min1c = 0.40\ \text{min}^{-1} is the feedback (thermoregulation) gain, and Te=20.0CT_e = 20.0\,^\circ\text{C}.

(a) Explain, using the terms homeostasis, negative feedback, and setpoint, why the c(TsT)c(T_s - T) term represents thermoregulation and not passive physics. (4)

(b) Find the steady-state temperature TT^\ast (where dT/dt=0dT/dt = 0). Show that a healthy mammal cannot reach exactly 37.0C37.0\,^\circ\text{C} under this model and interpret the small offset biologically. (6)

(c) Solve the ODE for T(t)T(t) given initial condition T(0)=39.0CT(0) = 39.0\,^\circ\text{C}. State the effective time constant τ\tau. (6)

(d) Identify the independent variable, dependent variable, and one controlled variable if this were tested as a real experiment on live animals. (4)


Question 2 — Metabolism, Scaling & Data Interpretation (22 marks)

Metabolic rate BB (in watts) scales with body mass MM (in kg) by Kleiber's law:

B=aM3/4B = a\,M^{3/4}

A student measures the resting metabolic rate of four organisms:

Organism Mass MM (kg) Metabolic rate BB (W)
Mouse 0.020 0.14
Rabbit 2.0 7.9
Dog 20.0 44.5
Human 70.0 116

(a) Distinguish anabolism from catabolism and state which dominates when an organism's body mass is increasing during growth. (4)

(b) By taking logarithms, show that Kleiber's law becomes linear. State the slope you would expect on a log10B\log_{10} B vs log10M\log_{10} M plot. (4)

(c) Using the Mouse and Human data points, estimate the exponent nn in B=aMnB = aM^n from the two-point log-log slope. Comment on how close it is to the theoretical 3/43/4. (6)

(d) Determine the constant aa (using the Human data point and n=3/4n = 3/4). State its SI units. (4)

(e) Describe the pseudocode/algorithm you would write to fit aa and nn to ALL four points by linear least squares on the log-transformed data. (4)


Question 3 — Scientific Method, Emergence & Classification (18 marks)

(a) A student claims: "A crystal grows, so a crystal is alive." Using the seven characteristics of living things, construct a rigorous rebuttal. Reference at least THREE characteristics a crystal lacks. (6)

(b) Define an emergent property. Give one example at the level of the cell and one at the level of the ecosystem, explaining why each cannot be predicted from the components alone. (6)

(c) Distinguish a hypothesis, a theory, and a law. Then classify each of the following: (i) "Enzyme activity doubles per 10 °C rise up to an optimum," (ii) "Cells arise only from pre-existing cells," (iii) "If I add fertiliser X, plant height will increase." (6)

Answer keyMark scheme & solutions

Question 1

(a) (4 marks)

  • Homeostasis = maintenance of a stable internal environment despite external change (1).
  • The passive term k(TTe)-k(T-T_e) is pure physics: heat always flows toward ambient and would drive TT to 20C20\,^\circ\text{C} (1).
  • The c(TsT)c(T_s-T) term acts in the opposite direction to any deviation from the setpoint TsT_s: if TT falls below 3737 it becomes positive (heating), if TT rises above it becomes negative (cooling) — this is negative feedback (1).
  • It is biological because it requires active energy expenditure (shivering, vasoconstriction, sweating) directed at restoring the setpoint, not just responding to ambient (1).

(b) (6 marks) Set dT/dt=0dT/dt = 0: k(TTe)+c(TsT)=0-k(T^\ast - T_e) + c(T_s - T^\ast) = 0 kT+kTe+cTscT=0-kT^\ast + kT_e + cT_s - cT^\ast = 0 T(k+c)=kTe+cTsT^\ast(k+c) = kT_e + cT_s T=kTe+cTsk+cT^\ast = \frac{kT_e + cT_s}{k+c} (3) Substituting: T=0.10(20)+0.40(37)0.10+0.40=2.0+14.80.50=16.80.50=33.6CT^\ast = \dfrac{0.10(20) + 0.40(37)}{0.10+0.40} = \dfrac{2.0 + 14.8}{0.50} = \dfrac{16.8}{0.50} = 33.6\,^\circ\text{C} (2).

  • Interpretation: because passive cooling never fully vanishes, the setpoint is not perfectly reached — a steady-state offset (proportional-control error). Biologically, real bodies use integral-type control (hormonal/behavioural) to close this gap; the model shows finite gain leaves a residual error (1).

(c) (6 marks) Rewrite: dTdt=(k+c)T+(kTe+cTs)=(k+c)(TT)\dfrac{dT}{dt} = -(k+c)T + (kT_e + cT_s) = -(k+c)(T - T^\ast) (2). This is first-order linear; solution: T(t)=T+(T(0)T)e(k+c)tT(t) = T^\ast + \big(T(0) - T^\ast\big)e^{-(k+c)t} (2) With T(0)=39T(0)=39, T=33.6T^\ast=33.6, k+c=0.50k+c=0.50: T(t)=33.6+5.4e0.50tT(t) = 33.6 + 5.4\,e^{-0.50\,t} Effective time constant τ=1k+c=10.50=2.0 min\tau = \dfrac{1}{k+c} = \dfrac{1}{0.50} = 2.0\ \text{min} (2).

(d) (4 marks)

  • Independent variable: ambient temperature TeT_e (what experimenter sets) (1).
  • Dependent variable: core body temperature TT (measured response) (1).
  • Controlled variable: any of — species/animal size, activity level, humidity, food intake, time of measurement (1).
  • (1) for correctly matching "independent = manipulated, dependent = measured."

Question 2

(a) (4 marks)

  • Anabolism: synthesis of complex molecules from simpler ones; consumes energy (endergonic), e.g. protein synthesis (1.5).
  • Catabolism: breakdown of complex molecules into simpler ones; releases energy (exergonic), e.g. cellular respiration (1.5).
  • During growth, anabolism dominates (net synthesis increases body mass) (1).

(b) (4 marks) Take log10\log_{10} of B=aM3/4B = aM^{3/4}: log10B=log10a+34log10M\log_{10}B = \log_{10}a + \tfrac{3}{4}\log_{10}M (2) This is linear in log10M\log_{10}M (form y=c+mxy = c + m x) with slope =3/4=0.75= 3/4 = 0.75 and intercept log10a\log_{10}a (2).

(c) (6 marks) Two-point slope on log-log axes: n=log10BHlog10BMlog10MHlog10MMn = \frac{\log_{10}B_H - \log_{10}B_M}{\log_{10}M_H - \log_{10}M_M} =log10(116)log10(0.14)log10(70)log10(0.020)= \frac{\log_{10}(116) - \log_{10}(0.14)}{\log_{10}(70) - \log_{10}(0.020)} =2.0645(0.8539)1.8451(1.6990)=2.91843.5441=0.8235= \frac{2.0645 - (-0.8539)}{1.8451 - (-1.6990)} = \frac{2.9184}{3.5441} = 0.8235 (4) Numerically n0.82n \approx 0.82, close to but slightly above the theoretical 0.750.75; scatter/measurement error and using only two points explains the deviation (2).

(d) (4 marks) Using Human: a=B/M3/4=116/700.75a = B/M^{3/4} = 116 / 70^{0.75}. 700.75=e0.75ln70=e0.75(4.2485)=e3.1864=24.2070^{0.75} = e^{0.75\ln 70} = e^{0.75(4.2485)} = e^{3.1864} = 24.20 (2). a=116/24.20=4.79a = 116/24.20 = 4.79 (1). Units: BB in W, M3/4M^{3/4} in kg3/4\text{kg}^{3/4}, so aa has units W⋅kg3/4\text{W·kg}^{-3/4} (1).

(e) (4 marks) Expected algorithm outline (award 1 each):

  1. Transform each point: xi=log10Mix_i = \log_{10}M_i, yi=log10Biy_i = \log_{10}B_i.
  2. Compute least-squares slope n=(xixˉ)(yiyˉ)(xixˉ)2n = \dfrac{\sum(x_i-\bar x)(y_i-\bar y)}{\sum(x_i-\bar x)^2} and intercept b=yˉnxˉb = \bar y - n\bar x.
  3. Recover a=10ba = 10^{b}.
  4. Report nn, aa, and optionally R2R^2 for goodness of fit.

Question 3

(a) (6 marks) Crystal "growth" is accretion (adding identical units), not biological growth. It lacks (any 3, 2 marks each):

  • Metabolism — no anabolic/catabolic chemical energy transformations.
  • Reproduction — does not produce offspring carrying heritable information (breaking a crystal is fragmentation, not reproduction with inheritance).
  • Responsiveness/homeostasis — cannot detect and regulate its internal state against stimuli.
  • Organisation into cells — not made of cells, the basic unit of life. (Conclusion: growth alone is insufficient; life requires the full set of characteristics.)

(b) (6 marks)

  • Emergent property: a property arising from interactions among components at a given level that is not present in, nor predictable from, the parts alone (2).
  • Cell level: life itself / self-replication — individual organelles or molecules (lipids, proteins, DNA) are not alive, but their organised interaction produces a living cell (2).
  • Ecosystem level: nutrient cycling / energy flow / community stability — cannot be deduced from any single population; emerges from feeding relationships and abiotic interactions among many species (2).

(c) (6 marks)

  • Hypothesis: a testable, falsifiable proposed explanation/prediction for a specific observation (1).
  • Theory: a broad, well-substantiated explanation supported by large bodies of evidence, that explains why (1).
  • Law: a concise (often mathematical) description of a consistent natural relationship that describes what happens without explaining why (1).
  • Classification: (i) = law (quantitative descriptive rule, the Q10Q_{10} relationship) (1); (ii) = theory (cell theory, broad and evidence-backed) (1); (iii) = hypothesis (specific testable if-then prediction) (1).

[
  {"claim":"Steady-state temperature T* = 33.6 C", "code":"k=Rational(1,10); c=Rational(4,10); Te=20; Ts=37; Tstar=(k*Te+c*Ts)/(k+c); result = (Tstar == Rational(336,10))"},
  {"claim":"Time constant tau = 2.0 min", "code":"k=Rational(1,10); c=Rational(4,10); tau=1/(k+c); result = (tau == 2)"},
  {"claim":"Two-point log-log exponent n approx 0.8235", "code":"n=(log(116,10)-log(Rational(14,100),10))/(log(70,10)-log(Rational(2,100),10)); result = abs(float(n)-0.8235) < 0.01"},
  {"claim":"Kleiber constant a approx 4.79 W kg^-3/4 using human point", "code":"a=116/70**Rational(3,4); result = abs(float(a)-4.79) < 0.05"}
]