사과 ‘후지’/M.9 포트묘목 개발을 위해 질소시비농도에 따른 생장특성을 조사하고, 포트 우량묘목 생산에 적합한 질소시비 농도와 잎의 무기영양성분 함량 및 토양 화학성의 안정성을 확인하였다. 질소시비농도가 높아질수록 묘목의 생장은 증가되 었고, 특히 16 mM 처리가 수체 생장에 가장 좋았으며, 우량묘목 판단기준에 부합하였다. 32 mM 이상의 고농도는 오히려 생장 을 감소시켰다. 잎의 무기영양성분 함량은 8, 16 mM 처리구에서 기존 사과과원의 적정수준보다 높았고, 이러한 무기영양성분은 정식 후 수체 생장에 도움이 될 것으로 생각되었다. 토양 화학성 또한 8, 16 mM 처리구에서 안정적이었다. 따라서 수체 생육, 잎의 무기영양성분, 포트 내 토양화학성을 고려한 결과, 사과 ‘후지’/M.9 우량 포트묘목 생산을 위한 적정 질소시비량은 16 mM로 판단되었다.

한국산 겨우살이 (Viscum album L)는 면역조절작용이 있음이 밝혀졌다. 본 연구에서 한국산 겨우살이 열탕추출물 M11C (non-lectin components)가 비장세포를 활성화시켜 IL-1β를 생산 분비하게 하는지를 조사하였다. 비장세포를 M11C로 자극한 후, 배양액을 수집 혹은 세포 용해물을 수거해 IL-1β 분비와 전사량을 ELISA, immunoblotting, RT-PCR로 검사했었다. 비장세포로부터 IL-1β 분비와 전사 효과에 있어서 M11C는 농도 의존성과 자극시간 의존성을 보였다. 비장세포로부터 최대의 IL-1β 분비를 위한 M11C의 최대의 농도와 자극시간은 각각 200μg/ml와 8시간 이었다. 그리고 최대 IL-1β mRNA 전사를 위한 M11C의 최대의 농도와 자극시간은 각각 200μg/ml와 4시간 이었다. 최대의 전사시간은 최대의 분비시간보다 4시간 빨리 도달된 것으로 나타났다. 이러한 최대의 IL-1β 분비효과가 당분해효소인 Viscozyme L에 의해 완전히 저해되었다. 이는 M11C (non-lectin components)의 구성물질 들 중 다당체 혹은 올리고당들이 IL-1β 생산 분비를 유도하는 주된 물질임을 말해주고 있다.

Centralized safety stock in a periodic replenishment system which consists of one central warehouse and m regional warehouse can reduce backorders allocating the centralized safety stocks to regional warehouse in a certain instant of each replenishment cycle. If the central warehouse can not monitoring inventories in the regional warehouse, then we have to predetermine the instant of allocation according to demand distribution and this instant must be same for all different replenishment cycle. However, transition of inventory level in each cycle need not to be same, and therefore different instant of the allocation may results reduced shortage compare to the predetermined instant of allocation. In this research, we construct a dynamic model based on the assumption of monitoring inventories in the regional warehouse everyday, and develop an algorithm minimize shortage in each replenishment cycle using dynamic programming approach.

FORTRAN program PHYLS was developed to model the structures of 2:1 1M and 2M1 phyllosilicates on the basis of geometrical analyses. Input to PHYLS requires the chemical composition and d(001) spacing of the mineral. The output from PHYLS consists of the coordinates of the crystallographically independent sites in the unit cell, and such structural parameters as the cell dimensions, interaxial angle, cell volume, interatomic distances, and deformation angles of the polyhedra. PHYLS can generate these structural details according to the user's choice of space group and cation configuration. User can choose one of such space groups as C2/m, C2,and C2/c and such cation configurations as random and ordered tetrachedral/octahedral cation configurations. PHYLS simulated the structures of dioctahedral and trioctahedral phyllosilicates having random tetrahedral cation configuration fairly close to the reported experimentally determined structures. In contrast, the simulated structures for ordered tetrahedral cation configurations showed greater deviation from the experimentally determined structures than those for random configurations. However, if the cations were partially ordered and the sizes of the tetrahedra became similar, the simulated PHYLS may be helpful in various investigations on the relationships between structures and physicochemical properties of the phyllosilicates.

In order to find the most fitted biodegradation model, biodegradation kinetics model to the initial phenol and p-cresol concentrations were investigated and had been fitted by the linear regression. Bacteria capable of degrading p-cresol were isolated from soil by enrichment culture technique. Among them, strain M1 capable of degrading p-cresol has also degraded phenol and was identified as the genus Micrococcus from the results from of taxonomical studies. The optimal conditions for the biodegradation of phenol and pcresol by Micrococcus sp. M1 were NH_4NO_3 0.05%, pH 7.0, 30℃, respectively, and medium volume 100㎖/250㎖ shaking flask. Micrococcus sp. M1 was able to grow on phenol concentration up to 14mM and p-cresol concentration up to 8mM. With increasing substrate concentration, the lag period increased, but the maximum specific growth rates decreased. The yield coefficient decreased with increasing substrate concentration. The biodegradation kinetics of phenol and p-cresol were best described by Monod with growth model for every experimented concentration. In cultivation of mixed substrate, p-cresol was degraded first and phenol was second. This result implies that p-cresol and phenol was not degraded simultaneously.

In this paper the results for thin multi-layer InGaAsP(1.3μm)/InP crystal growth by vertical liquid epitaxial growing furnance have been presented. The growth rates of InGaAsP layer and InP layer at cooling rate of 0.3℃/min and the growing temperature of 630℃ were obtained as 0.11 μm/min and 0.06 μm/min, respectively, by the uniform cooling with two phase solution technique.