Cotton fabric was treated with a household softener or a starch or both of them. The effects of compressive pressure on the amount of water absorbed with the fabric treated in this manner were examined. The amount of absorbed water in non-treated fabric and fabric treated with starch alone was affected greatly by the level of compressive pressure applied. This effect of compressive pressure was smaller in fabric treated with softener alone or with the mixture of softener and starch. The amount of absorbed water of fabric treated with the mixture of softener and starch was larger than that of fabric treated with softener or starch alone, when the compressive pressure in the low range (from 69 Pa to 347 Pa). When the compressive pressure was higher (from 347 Pa to 1803 Pa), the amount of absorbed water of fabric treated with the mixture was between that of fabric treated with starch alone and that of fabric treated with softener alone. These results suggest that treatment of cotton fabric with the mixture of softener and starch provides an effective means of preventing the decrease in the amount of absorbed water caused by treatment with softener in the low range of compressive pressure.

  It is one of the urgent problems to cope with the hospital acquired infection in compromised inpatients and aged patients by such bacteria as MRSA. The route of infection, however, remains indefinite. In the present study, we have addressed a questionnaire concerning uncleanness and functions of nurse wear to a number of nurses at internal, surgical and obstetrical departments in several hospitals, analyzed from the data of the questionnaire uncleanness at 30spots of each nurse wear through light reflectivity and examined the mode of bacterial contamination at the same spots, as mentioned above, of the nurse wear. As the results we had the following findings. At several spots measured uncleanness was different from the nurses subjective evaluations obtained from the questionnaire. Several kinds of bacteria were detected in the cuffs, pockets, belt, collar and shoulders of the wear. In order of the total number of bacteria, the wear at the internal department was the first followed by the wear at the surgical department. However, as for the number of Staphylococcus species, the nurse wear at the obstetrical department came the first. But the nurse wear at the obstetrical department was first in the total number of Staphylococcus species. The number of bacteria attached to the nurse wear in the hospital were much larger than that in the junior college. On the basis of these experimental results, we are planning to make some changes in material and design of the nurse wear to avoid bacteria attachment.

  Making the measuring data of some mechanical properties of five kinds of plain weave cotton clothes which have a little difference in their characteristics an object, the relations among mechanical properties related to Hamburger's drape coefficient D.C. were discussed.

  ① In case of same clothes, D.C. of clothes follows with hunging length L of clothes linearly. And next eq. holds

    d(D.C.)/dL＝－k, (k ; const.)

  Here, it was suggested that k will be able to be one of the inherent barometers to show the drape characteristics of clothes.

  ② D.C. of clothes correlates highly with k of clothes. (≈ ; correlative mark)

    D.C.≈－k

  ③ As for total bending rigidity G (α) of clothes expressed as the mean values of bending rigidity in each direction of clothes, and the max. value F_r (max.) of slip resistance force out of ring, the next two eq.s hold well, taking part in k of clothes.

    k＝e 1/G(α)²    k＝e' 1/F_r(max.)^0.588

  where, e and e' are each the antilogarithms of cut length at vertical axes of k on straight lines in log-log curves of k~G (α)² and k~F_r (max.)^0.588

  And more, it is known that D.C. of clothes corresponds bending rigidity of clothes, taking notice of eq. in above ②.

  ④ From two eq.s mentioned in ③, regarding k as the parameter, the next eq. showing relation between G (α) and F_r (max.) is obtained.

    F_r(max.)＝0.198G(α)^3.4

  On the basis of the wearing test in the controllable artificial climate room, the dependencies of the climate in the room on the clothing climate were discussed.

1) Each Temp. T(C) and relative humidity RH(C) of the clothing climate increases and decreases abruptly just when worn only the next-to-skin wear. And by adding the numbers of worn clothes, T(C) increases gradually, but the change of RH(C) comes firstly by the moisture transmission through the worn clothes under the exsistense of a certain variance between relative humidity RH(R) in the room and RH(C). For example, in case of clothes having 0.937 K pa·s/m in resistivity of air-permeability, the moisture transmission through the worn clothes comes when having the variance about 5%RH.

2) Each part such as the substernale, the side at navel hight and the scapulae point of the body has its own T(C) which relates to the skin temp. at each part of body.

3) The increase of T(C) is a factor to decrease RH(C), and the insensible perspiration and sweating are the factors to increase RH(C) undoubtedly.

  But T(C)=32.5℃ and over, the latter factor gets ahead of the former one, and the sharp increases of RH(C) perhaps resulted from sweating of the pannel were observed.

4) By wearing the clothes, the clothing climate was formed to astringe T(R) and RH(R) to our comfort level. But temp. T(R) in the room and RH(R) effect on the largeness orders T(C) and RH(C) respectively within their astringed ranges. And the slight controls of T(C) and RH(C) owe much the worn condition such as the qualities of clothes and how to wear one garment over another.

  Effects of shades afforded with cloud, wisteria trellis, camphor tree, parasol and sunshade on WBGT in the summer heat were discussed.

(1) WBGT rises gradually to take the maximum value at 14:00 and falls after this time. This maximum value of WBGT come up to more over 30.8℃ in the mid of July.

(2) At the time 14:00 when WBGT shows maximum in a day, the shade of wisteria trellis (2030×830cm²×250cm in size) bring decrease of 8.77% of WBGT, 4.22% of camphor tree (1200cm in height), and 2.0-3.5% of parasol and sunshade. Thus, the decrease effect of WBGT under the shade of trees in the summer heat is above all larger.

(3) The depth of shade S_d was defined as follow,

    S_d＝ (1－L_m/L₀) ×100

where, L₀ : illumination on the ground when nothing to shut out the sun's rays. L_m : illumination of the shade when something to shut out the sun's rays.

  But, although S_d becomes a useful factor in order to consider WBGT relating to the environment when L₀ is able to be regarded as same in setting one environment against another, it's nouseful when L₀ deffers each other. It's possible to consider WBGT in the different environments of L₀, if L_m was used as the factor to discuss WBG T instead of S_d.

(4) The correlation coefficient between WBGT and L_m is 0.759, even if in different environment of L₀. The variation of WBGT due to L_m depend upon largely both T_g and T_d as the factors of WBGT. In special measure, between L_m and T_g exists 0.870 of correlation coefficient.