• Title/Summary/Keyword: NEm

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Microbial Control of Fly Maggots with Entomopathogenic Nematodes and Fungus in Outhouses of Farmhouses (곤충병원선충과 곰팡이를 이용한 농가화장실 파리의 미생물적 방제)

  • 추호렬;김형환;이동운;박영도
    • Korean journal of applied entomology
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    • v.35 no.1
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    • pp.80-84
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    • 1996
  • Infectivity of entomopathogenic nematodes and fungus was evaluated against fly larvae in the laboratory and outhouses. Mortalities of Muscina stabulans larvae were 96.7f 2.8% in Steinernema glaseri Dongrae strain, 90.0+0.0% in S. carpocapsae All strain, 86.7f 2.7% in Heterorhabditis bacteriophora Hamyang strain, and 70.0+9.4% in S. carpocapsae Pocheon strain on the filter paper. When 260, 000 nem\ulcornertodes were sprayed into the outhouses, H. bacterwphora Hamyang strain killed 100%, S. glaseri Dongrae strain killed 76.9+3.9%, and S. carpocapsae Pocheon strain killed 58.5+6.1% of maggots. When 130, 000 nematodes and 7.0X lo9 cfu of entomopathogenic fungus, Beauveria brongniartii were sprayed alone or combined into outhouses, mortalities of maggots were 73.6+0.1% in B. brongniartii alone, 77.8+3.9% in S. carpocapsae Pocheon strain plus B. brongniartii, and 77.7f 5.1% in H. bacteriophora Hamyang strain plus B. brongniartii. Entomopathogenic nematodes and fungus were potential biological control agents in this study.

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In Vitro Culture of Entomopathogenic Nematode with Its Symbiont for Biopesticide (생물살충제를 위한 곤충병원선충 및 공생박테리아의 in vitro 배양)

  • 유연수;박선호
    • KSBB Journal
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    • v.14 no.3
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    • pp.303-308
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    • 1999
  • An in vitro culture method for entomopathogenic nematode Steinernema glaseri was developed. A symbiotic bacterium was isolated from Steinernema glaseri and identified as Xenorhabdus nematophilus. Phase variation that differed in some biochemical characteristics of symbiotic bacterium was observed. Entomopathogenic nematodes carried only phase I bacterium in their guts. Phase I bacterium could be converted into phase II form in in vitro culture medium consisting of 5% yeast extract, 0.5% NaCl, 0.05% $K_2HPO_4$, $0.02% MgSO_4$.$7H_2O$. The optimum temperature for bacterial growth was $28^{\circ}C$. The pH of the culture medium increased up to 9.0-9.5 during the exponential growth period of the culture, regardless of initial pH 6-7. Various culture media such as chicken offal, dog food, bovine liver, peanut, and so on were tested for in vitro culture of the nematodes. The best medium for Steinernema glaseri production was obtained from concentrated homogenate of bovine liver and the nematode growth was highest at 80% bovine liver. In the co-culture of entomopathogenic nematode with its symbiont, the growth rate of nematodes was 2 times faster than that without its symbiont and the nematode concentration reached about $5.5\times10^4$/mL within 15 days.

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Interaction of Forskolin with the Effect of $N^6-cyclopentyladenosine$ on Norepinephrine Release in Rat Hippocampus (흰쥐 해마에서 Norepinephrine 유리에 미치는 $N^6-cyclopentyladenosine$ 및 Forskolin의 영향)

  • Choi Bong-Kyu;Kim Do-Kyung;Son Yong;Yang Ue-Jong
    • The Korean Journal of Physiology and Pharmacology
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    • v.1 no.3
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    • pp.225-231
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    • 1997
  • As it has been reported that the depolarization-induced norepinephrine (NE) release is modulated by activation of presynaptic $A_1-adenosine$ heteroreceptor and various lines of evidence indicate the involvement of adenylate cyclase system in $A_1-adenosine$ post-receptor mechanism in hippocampus, it was attempted to delineate the role of adenylate cyclase system in the $A_1-receptor-mediated$ control of NE release in this study. Slices from rat hippocampus were equilibrated with $[^3H]-NE$ and the release of the labelled products was evoked by electrical stimulation.(3 Hz, $5Vcm^{-1}$, 2 ms, rectangular pulses). The influence of various agents on the evoked tritium-outflow was investigated. $N^6-Cyclopentyladenosine$ (CPA), a specific $A_1-adenosine$ receptor agonist, in concentrations Tanging from 0.1 to $10{\mu}M$ decreased the $[^3H]-NE$ release in a dose-dependent mauler without any change of basal rate of release. 8-Cyclopentyl-1,3-dipropylxanthine (DPCPX, $2{\mu}M$), a selective $A_1-receptor$ antagonist, inhibited the CPA effect. The responses to N-ethylmaleimide $(3&10{\mu}M)$, a SH-alkylating agent of G-protein, were characterized by increments of the evoked NE-release and the CPA effects were completely abolished by NEM pretreatment. Forskolin, a specific adenylate cyclase activator, in concentrations ranging from 0.1 to $30{\mu}M$ increased the evoked and basal rate of NE release in a dose-dependent manner and the CPA effects were inhibited by forskolin pretreatment. Rolipram $(1&10{\mu}M)$, a phosphodiesterase inhibitor, did not affect the evoked NE release but reduced the CPA effect. And 8-bromo-cAMP $(100&300{\mu}M)$, a membrane permeable cAMP analogue inhibited the CPA effect significantly. These results suggest that the $A_1-adenosine$ heteroreceptor plays an important role in NE-release via nucleotide-binding protein $G_i$ in the rat hippocampus and that the adenylate cyclase system might be participated in this process.

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Inverse Agonists at $A_1$ Adenosine Receptors in Rat Cerebral Cortex (흰쥐의 뇌의$A_1$ 아데노신 수용체에 작용하는 역효현제에 관한 연구)

  • Park, Kyung-Sun;Yang, Wan-Suk;Kim, Kyung-Hwan
    • The Korean Journal of Pharmacology
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    • v.32 no.1
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    • pp.23-29
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    • 1996
  • According to the traditional receptor model, competitive antagonists share with agonists the ability to bind to a common site on receptors, but they are different from agonist in that they cannot trigger the biological response-i.e., they lack intrinsic efficacy. Recent findings extend the model by indicating that not all antagonists display an intrinsic efficacy of zero but that some display 'inverse agonism'. In the present study we studied the inverse agonism at $A_1$ adenosine receptors in membranes prepared from rat cerebral cortex. Eight commercially available $A_1$ adenosine receptor antagonists (CGS-15943, ADPX, CPT, DPCPX, DPX, N-0840, PACPX and 8-PT) were screened for inverse agonism by measuring the extent of $[^{35}S]guanosine-5'-({\gamma}-thio)$ triphosphate $([^{35}S]GTP_{\gamma}S)$ binding to G proteins. The agonist-induced stimulation of $[^{35}S]GTP_{\gamma}S$ bindings was completely blocked in the presence of $A_1$ adenosine receptor antagonists. Under optimal conditions, two types of antagonists could be distinguished. Seven antagonists including DPCPX decreased the basal $[^{35}S]GTP_{\gamma}S$ binding in the absence of agonist, displaying inverse agonist activity. One (CGS-15943) had no effect on the basal bindings. N-ethylmaleimide treatment reduced the basal bindings as well as agonist-mediated stimulation of $[^{35}S]GTP_{\gamma}S$ bindings, indicating that a substantial amount of this binding reflects an activated state of the C proteins. In good agreement with these findings, 0.1 mM GTP decreased the apparent affinity of the receptors for the agonist PIA, increased that for DPCPX, and had no effect on that for CGS-15943.

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Memory Organization for a Fuzzy Controller.

  • Jee, K.D.S.;Poluzzi, R.;Russo, B.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1041-1043
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    • 1993
  • Fuzzy logic based Control Theory has gained much interest in the industrial world, thanks to its ability to formalize and solve in a very natural way many problems that are very difficult to quantify at an analytical level. This paper shows a solution for treating membership function inside hardware circuits. The proposed hardware structure optimizes the memoried size by using particular form of the vectorial representation. The process of memorizing fuzzy sets, i.e. their membership function, has always been one of the more problematic issues for the hardware implementation, due to the quite large memory space that is needed. To simplify such an implementation, it is commonly [1,2,8,9,10,11] used to limit the membership functions either to those having triangular or trapezoidal shape, or pre-definite shape. These kinds of functions are able to cover a large spectrum of applications with a limited usage of memory, since they can be memorized by specifying very few parameters ( ight, base, critical points, etc.). This however results in a loss of computational power due to computation on the medium points. A solution to this problem is obtained by discretizing the universe of discourse U, i.e. by fixing a finite number of points and memorizing the value of the membership functions on such points [3,10,14,15]. Such a solution provides a satisfying computational speed, a very high precision of definitions and gives the users the opportunity to choose membership functions of any shape. However, a significant memory waste can as well be registered. It is indeed possible that for each of the given fuzzy sets many elements of the universe of discourse have a membership value equal to zero. It has also been noticed that almost in all cases common points among fuzzy sets, i.e. points with non null membership values are very few. More specifically, in many applications, for each element u of U, there exists at most three fuzzy sets for which the membership value is ot null [3,5,6,7,12,13]. Our proposal is based on such hypotheses. Moreover, we use a technique that even though it does not restrict the shapes of membership functions, it reduces strongly the computational time for the membership values and optimizes the function memorization. In figure 1 it is represented a term set whose characteristics are common for fuzzy controllers and to which we will refer in the following. The above term set has a universe of discourse with 128 elements (so to have a good resolution), 8 fuzzy sets that describe the term set, 32 levels of discretization for the membership values. Clearly, the number of bits necessary for the given specifications are 5 for 32 truth levels, 3 for 8 membership functions and 7 for 128 levels of resolution. The memory depth is given by the dimension of the universe of the discourse (128 in our case) and it will be represented by the memory rows. The length of a world of memory is defined by: Length = nem (dm(m)+dm(fm) Where: fm is the maximum number of non null values in every element of the universe of the discourse, dm(m) is the dimension of the values of the membership function m, dm(fm) is the dimension of the word to represent the index of the highest membership function. In our case then Length=24. The memory dimension is therefore 128*24 bits. If we had chosen to memorize all values of the membership functions we would have needed to memorize on each memory row the membership value of each element. Fuzzy sets word dimension is 8*5 bits. Therefore, the dimension of the memory would have been 128*40 bits. Coherently with our hypothesis, in fig. 1 each element of universe of the discourse has a non null membership value on at most three fuzzy sets. Focusing on the elements 32,64,96 of the universe of discourse, they will be memorized as follows: The computation of the rule weights is done by comparing those bits that represent the index of the membership function, with the word of the program memor . The output bus of the Program Memory (μCOD), is given as input a comparator (Combinatory Net). If the index is equal to the bus value then one of the non null weight derives from the rule and it is produced as output, otherwise the output is zero (fig. 2). It is clear, that the memory dimension of the antecedent is in this way reduced since only non null values are memorized. Moreover, the time performance of the system is equivalent to the performance of a system using vectorial memorization of all weights. The dimensioning of the word is influenced by some parameters of the input variable. The most important parameter is the maximum number membership functions (nfm) having a non null value in each element of the universe of discourse. From our study in the field of fuzzy system, we see that typically nfm 3 and there are at most 16 membership function. At any rate, such a value can be increased up to the physical dimensional limit of the antecedent memory. A less important role n the optimization process of the word dimension is played by the number of membership functions defined for each linguistic term. The table below shows the request word dimension as a function of such parameters and compares our proposed method with the method of vectorial memorization[10]. Summing up, the characteristics of our method are: Users are not restricted to membership functions with specific shapes. The number of the fuzzy sets and the resolution of the vertical axis have a very small influence in increasing memory space. Weight computations are done by combinatorial network and therefore the time performance of the system is equivalent to the one of the vectorial method. The number of non null membership values on any element of the universe of discourse is limited. Such a constraint is usually non very restrictive since many controllers obtain a good precision with only three non null weights. The method here briefly described has been adopted by our group in the design of an optimized version of the coprocessor described in [10].

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