Are We Terribly Different? : A case-study of male and female fiction-writing in English

The aim of this study is to find similarities and differences between male and female fiction-writing. The data has been collected from pupils at an upper secondary school in Central Sweden. They were given an extract from a novel by Bernard MacLaverty and from that they were supposed to continue the story.Theories that have evolved during the last centuries claim that the language use between men and women differ in many aspects. Women, it is said, use a more emotional language than men do, while men use more expletives than women. Likewise, the language is said to differ in the use of adverbs, verbs and adjectives. It has also been claimed that men and women have different topic developments and that women write longer sentences than men.The results of the current study show that most of these claims are false, or at least not true in this specific context. In most cases there is little or no difference between the male writing and the female writing. There are also cases where the opposite is true – for example, the female participants write shorter sentences than the male participants. A general conclusion of the study is that the writing between the two groups are quite similar – or at least that similarities are present to a larger extent than differences.

Optimal V. O2max-to-mass ratio for predicting 15 km performance among elite male cross-country skiers

The aim of this study was 1) to validate the 0.5 body-mass exponent for maximal oxygen uptake (V. O2max) as the optimal predictor of performance in a 15 km classical-technique skiing competition among elite male cross-country skiers and 2) to evaluate the influence of distance covered on the body-mass exponent for V. O2max among elite male skiers. Twenty-four elite male skiers (age: 21.4±3.3 years [mean ± standard deviation]) completed an incremental treadmill roller-skiing test to determine their V. O2max. Performance data were collected from a 15 km classicaltechnique cross-country skiing competition performed on a 5 km course. Power-function modeling (ie, an allometric scaling approach) was used to establish the optimal body-mass exponent for V . O2max to predict the skiing performance. The optimal power-function models were found to be race speed = 8.83⋅(V . O2max m-0.53) 0.66 and lap speed = 5.89⋅(V . O2max m-(0.49+0.018lap)) 0.43e0.010age, which explained 69% and 81% of the variance in skiing speed, respectively. All the variables contributed to the models. Based on the validation results, it may be recommended that V. O2max divided by the square root of body mass (mL⋅min−1 ⋅kg−0.5) should be used when elite male skiers’ performance capability in 15 km classical-technique races is evaluated. Moreover, the body-mass exponent for V . O2max was demonstrated to be influenced by the distance covered, indicating that heavier skiers have a more pronounced positive pacing profile (ie, race speed gradually decreasing throughout the race) compared to that of lighter skiers.