A) How was latitude calculated in Classical Greece? (1 mark)
B) How does agglomeration differ from deglomeration? (1 mark)
C) What are the three variables that explain commodity flows? Define each. (2 marks)
D) Differentiate between stock resources and renewable resources and give two examples of each (2 marks).
- Research Question (10 marks)
A) Describe the four stages of the Demographic Transition Model, making sure to mention what happens to the crude birth rate and crude death rate in each stage. Identify 2 reasons for these birth rate and death rate trends in each stage. You must cite the textbook and two other academic sources. (2 marks)
You will use the textbook description, but expand beyond that using two other sources. You should format your answer with headings for each stage. Your answer should be 300-400 words and include a word count at the end.
At the end of your answer to this question, you should have a list of references (at least the textbook and two other academic sources), formatted correctly using APA.
B) Using the 2016 World Population Data sheet, identify the crude birth rate, crude death rate and rate of natural increase for Japan. What stage of the DTM would Japan be in now? Using at least three academic sources, discuss three reasons that Japan is in this stage. (8 marks)
ovulation luteal phase, body temperature is improved, however the amplitude of the temperature rhythm is decreased (ref- Circadian rhythms, sleep, and the menstrual cycle. In phrase document.). it has been stated that the temperature in luteal stage is 0.4 0C higher than follicular level (26 ref- in note ). (take a look at authentic ref no. in protocol.) this is mainly due to the progesterone hormone stage in luteal degree and a few studies proved that upward push in body temperature is because of impact of progesterone hormone while oestrogen has decreasing impact. the temperature stay extended in luteal phase so long as the progesterone ranges are elevated. ( ref-29 and 33 in be aware.) )(take a look at 27-28 original ref ) physical health varies the regular frame temperature; Atkinson G et al determined that the bodily active organizations have higher amplitude of temperature than inactive agencies. but the oral temperature of bodily energetic organization had decrease than inactive group at 2.00 and 6.00. rest of the time bodily active institution had significantly better oral temperature than inactive organization. Age has also an important role in variability of temperature. In maximum of the research pronounced that cosinor analysis of temperature; mesor and amplitude decreases with boom in age. Gubin et al said that normal temperature range is better in young adults than in elders. Mesor is higher in teens (97.5° F/36.38° C) than in aged topics (97.1° F/36.17° C) and amplitude become also increased in young adults than in elderly topics. The suggest circadian acrophase become comparable in both age groups (17:19 versus sixteen:93); but, inter-person variations had been higher in the older institution, with individual values varying among 10:00 and 23:00 hours (ref.-48 in note ). In any other study Howell et al recorded the oral temperature the usage of digital thermometer in a hundred and five women age ranges from 61-one zero five years and stated a collection suggest of 36 0C,that is substantially lower than in a more youthful adults.(29 in unique protocol). Touitou et al, located that the day by day frame temperature amplitude changed into reduced within the elderly subjects whilst in comparison to wholesome grownup individuals.(30 in authentic protocol). Nonlineardynamics and complexity idea seem to provide an alternative method. Many biological systems may be appeared as natural fractals and much physiological behaviour can be explained by way of deterministic chaos (coronary heart price, bacterial population increase, hormonal secretion pulses, and epidemics. furthermore, in many instances, pathological situations and ageing are known to be observed by losses in complexity. The complexity of the temperature curve could be regularly measured in all instances. constant consequences were acquired the usage of 3 completely impartial methods that degree distinct aspects (in instances the dynamic behaviour, inside the different the anfractuosity of the curve), with top correlation among all strategies. none of the complexity measures became notably distinctive for the 2 sexes, nor have been they affected by the BMI. alternatively, all measures of complexity have been inversely correlated with age. This locating is by hook or by crook “coded” inside the temperature readings, but classical statistical signs aren't able to bringing it to mild. The finding of an inverse correlation between age and the diploma of complexity of the temperature curve became likewi>GET ANSWER