• The Plant Pathology Journal
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• v.39 no.5
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• pp.504-512
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• 2023

After transitioning from periodic to model-based control policy for fire blight blossom infection, it is crucial to provide the timing of field application with easy and accurate information. To assess the risk of blossom infection, Maryblyt was employed in 31 sites across apple-producing regions nationwide, including areas prone to fire blight outbreaks, from 2021 to 2023. In 2021 and 2023, two and seven sites experienced Blossom Infection Risk-Infection warning occurrences among 31 sites, respectively. However, in 2022, most of the sites observed Blossom Infection Risk-Infection from April 25 to 28, highlighting the need for blossom infection control. For the comparison between the two model-based control approaches, we established treatment 1, which involved control measures according to the Blossom Infection Risk-Infection warning and treatment 2, aimed at maintaining the Epiphytic Infection Potential below 100. The analysis of control values between these treatments revealed that treatment 2 was more effective in reducing Blossom Infection Risk-Infection and the number of days with Epiphytic Infection Potential above 100, with respective averages of 95.6% and 93.0% over the three years. Since 2022, the implementation of the K-Maryblyt system and the deployment of Automated Weather Stations capable of measuring orchard weather conditions, with an average of 10 stations per major apple fire blight county nationwide, have taken place. These advancements will enable the provision of more accurate and timely information for farmers based on fire blight models in the future.

• Earthquakes and Structures
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• v.11 no.6
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• pp.1101-1121
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• 2016

Base isolation, one of the popular seismic protection approaches proven to be effective in practical applications, has been widely applied worldwide during the past few decades. As the techniques mature, it has been recognised that, the biggest issue faced in base isolation technique is the challenge of great base displacement demand, which leads to the potential of overturning of the structure, instability and permanent damage of the isolators. Meanwhile, drain, ventilation and regular maintenance at the base isolation level are quite difficult and rather time- and fund- consuming, especially in the highly populated areas. To address these challenges, a number of efforts have been dedicated to propose new isolation systems, including segmental building, additional storey isolation (ASI) and mid-storey isolation system, etc. However, such techniques have their own flaws, among which whipping effect is the most obvious one. Moreover, due to their inherent passive nature, all these techniques, including traditional base isolation system, show incapability to cope with the unpredictable and diverse nature of earthquakes. The solution for the aforementioned challenge is to develop an innovative vibration isolation system to realise variable structural stiffness to maximise the adaptability and controllability of the system. Recently, advances on the development of an adaptive magneto-rheological elastomer (MRE) vibration isolator has enlightened the development of adaptive base isolation systems due to its ability to alter stiffness by changing applied electrical current. In this study, an innovative semi-active storey isolation system inserting such novel MRE isolators between each floor is proposed. The stiffness of each level in the proposed isolation system can thus be changed according to characteristics of the MRE isolators. Non-dominated sorting genetic algorithm type II (NSGA-II) with dynamic crowding distance (DCD) is utilised for the optimisation of the parameters at isolation level in the system. Extensive comparative simulation studies have been conducted using 5-storey benchmark model to evaluate the performance of the proposed isolation system under different earthquake excitations. Simulation results compare the seismic responses of bare building, building with passive controlled MRE base isolation system, building with passive-controlled MRE storey isolation system and building with optimised storey isolation system.

• Parasites, Hosts and Diseases
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• v.52 no.1
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• pp.21-26
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• 2014

Dirofilaria immitis (heartworm) infections affect domestic dogs, cats, and various wild mammals with increasing incidence in temperate and tropical areas. More sensitive antibody detection methodologies are required to diagnose asymptomatic dirofilariasis with low worm burdens. Applying current transcriptomic technologies would be useful to discover potential diagnostic markers for D. immitis infection. A filarial homologue of the mammalian translationally controlled tumor protein (TCTP) was initially identified by screening the assembled transcriptome of D. immitis (DiTCTP). A BLAST analysis suggested that the DiTCTP gene shared the highest similarity with TCTP from Loa loa at protein level (97%). A histidine-tagged recombinant DiTCTP protein (rDiTCTP) of 40 kDa expressed in Escherichia coli BL21 (DE3) showed immunoreactivity with serum from a dog experimentally infected with heartworms. Localization studies illustrated the ubiquitous presence of rDiTCTP protein in the lateral hypodermal chords, dorsal hypodermal chord, muscle, intestine, and uterus in female adult worms. Further studies on D. immitis-derived TCTP are warranted to assess whether this filarial protein could be used for a diagnostic purpose.

• Korean Journal of Food Science and Technology
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• v.30 no.5
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• pp.1018-1023
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• 1998

Hydrocarbons in dry soup base and its ingredients in instant noodle were analyzed to determine whether the analysis of hydrocarbons is a potential method to detect post-irradiation of the soup base. Soup base ingredients were irradiated individually, irradiated before mixing, or mixed after irradiation. Lipids were extracted with hexane and hydrocarbons were separated from the lipids through Florisil column. The hydrocarbons were analyzed with GC. Hydrocarbons C17:2, C16:3, C17:1, and C16:2 were detected in palm oil, red pepper powder, and sesame seeds irradiated at 10 kGy, but not in unirradiated ones. C17:2, C16:3, C17:1, and C16:2 were not detected in the soup base mixture of unirradiated ingredients. The four hydrocarbons were detected in the soup base mixture using irradiated palm oil or sesame seeds. In the mixture using irradiated red pepper powder, C17:2 and C16:3 were detected. When the soup mixture was irradiated after mixing unirradiated ingredients, C17:2, C17:1, and C16:2 were detected in the sample irradiated at 1 kGy, and C17:2, C16:3, C17:1, and C16:2 were in large amounts at 5 and 10 kGy.

• Journal of Korean Society on Water Environment
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• v.28 no.1
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• pp.115-120
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• 2012

Different colloidal particles generally co-exist in the water and wastewater. Thus, there needs to identify practical electrokinetic characteristics of the particles, comparing with the case when each colloidal material is independently distributed. In this study, changes of overall zeta potential was examined through mixed dispersions of $TiO_{2}$ and $MnO_{2}$. The mixing ratios were classified into 3-type in order to distinguish the effects of the proportions of each particle from those of total concentration in colloidal suspensions. The types are single colloidal dispersions of $TiO_{2}$ and $MnO_{2}$ (1:0, 0:1), mixed dispersions at different ratios (0.75:0.25, 0.5:0.5, 0.25:0.75), and a mixed dispersion with doubled concentration (1:1), respectively. It showed that the overall variation of zeta potential as a function of pH was intensified in a colloidal dispersion with the ratio of 1:1. It was concerned that the double action of ion would contribute to this result. On the one hand, the zeta potentials of each colloidal dispersion commonly decreased at the state of strong acid and base under the influence of compression of the electric double layer. The changing patterns were also considered through calculating total interaction energy between colloidal particles based on DLVO theory and measuring turbidity of the colloidal dispersions.

• Journal of Periodontal and Implant Science
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• v.41 no.6
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• pp.273-278
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• 2011

Purpose: To analyze the dimensions of the embrasure space between the maxillary central incisors as potential factors influencing interdental papilla fill and height. Methods: The embrasure dimensions between the maxillary central incisors of 100 subjects (40 females/60 males) were assessed with clinical, study model, and radiographic examinations. Variables of the complete and deficient papilla fill groups were compared. Multiple regression analyses were performed to investigate potential influence of the distance between the contact point and bone crest (CP_BC), horizontal interdental distance (HID), and facio-lingual thickness (FLT) at the papilla base on complete/deficient papilla fill and papilla height (PH). Results: CP_BC was the only variable that showed a significant difference between the complete and deficient papilla groups (P<0.05). When the CP_BC was less than 5 mm, the embrasure spaces between the maxillary central incisors were completely filled with interdental papilla. Multiple regression analyses revealed that a significant predictor for complete/deficient papilla fill was CP_BC, and significant predictors for PH were CP_BC and HID (P<0.05). Conclusions: The chances of complete papilla fill increased as CP_BC decreased, while PH increased as CP_BC and HID increased. However, the FLT of the papilla base did not appear to affect papilla fill or PH. From an esthetic perspective, CP_BC as well as HID should be considered as factors influencing the topography of interdental papilla.

• Journal of the Korean Chemical Society
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• v.42 no.1
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• pp.1-8
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• 1998

Molecular electrostatic potential (MEP) of the thiazole, relevant to the binding of lexitroposin that contains thiazole ring to the base pair of minor groove of DNA is obtained from the results of ab initio calculation. The geometry optimization for the two possible conformations of protonated thiazoles is performed with the aid of MNDO and ab initio calculations. The proton affinities are calculated at the 6-31G and 6-31G basis set for the optimized geometry. The proton affinities are also studied for various substituted thiazoles with the electron-donating and electron-withdrawing groups to estimate substituent effect on the proton affinity of thiazoles. It is found that the thiazole with nitrogen atom aligned inward to the DNA minor groove exhibit higher proton affinity and electron-donating substituents increase the proton affinity of thiazoles.ĀȀꃏ?⨀缾ĀȀ會ĀȀ?⨀ꖓĀĀȀ會ĀȀ僐?⨀聥ꖓĀĀȀ會ĀȀ꣐?⨀聐缾ĀȀ會ĀȀÑ?⨀ၑ缾ĀȀ會ĀȀ壑?⨀ꁑ缾ᨀĀꀏ會Āꀏ냑?⨀⡒缾᐀Āꀏ會Āꀏ࣒?⨀끒缾ᰀĀꀏ會Āꀏ惒?⨀ꁩꖓȀĀꀏ會Āꀏ룒?⨀⡪ꖓሀĀꀏ會Āꀏდ?⨀ᤐ돀삺?⨀塨?⨀飣?⨀돐룣?⨀偠잖⨀샣?⨀줏덐탣?⨀젏ꠏܞ
Ȍ蠀
ᥲ⴯

ͧ
Molecua及컲ࡔ
ȏᰗۊऀں
Molecular electrostatic potential (MEP) of the thiazole, relevant to the binding of lexitroposin that contains thiazole ring to the base pair of minor groove of DNA is obtained from the results of ab initio calculation. The geometry optimization for the two possible conformations of protonated thiazoles

• The Plant Pathology Journal
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• v.17 no.5
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• pp.257-263
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• 2001

Species of the genus Orobanche are parasitic flowering plants, holoparasites, which cling to the roots of green plants. Their tiny seeds (200 x $250\mu\textrm{m}$) germinate in response to chemical stimuli produced by host and some non-host plants. Successful contact with their host leads to development of haustoria for obtaining water and food. The shoots above the ground expose flowers and disseminate seeds. Several samples of Orobanche ramosa, O. crenata, O. cernua, and O. egyptiaca were collected from different localities in Jordan. These samples showed one of the following disease symptoms: dry rot at the base of the stem; general deterioration and expanded lesion from base upward; soft tissue maceration of stem; and black rot of flower parts with incomplete maturation of the ovary and seeds. Isolation from diseased stems and seeds was made on three different mycological media. Several fungi were isolated, mainly, Fusarium spp., Alternaria alternata, Rhizoctonia sp., Dendrophora sp., Chaetomium sp., and an ascomycetus fungus with a perithecium. Pathogenicity tests showed that Fusarium spp. and Alternaria alternata attacked healthy living tissue of Orobanche spikes. These fungi caused lesions of black soft rot and complete deterioration within 5-7 days. They also attacked Orobanche seeds, arresting their germination and causing maceration of non-germinated and germinated seeds after 5-7 days of incubation. Meanwhile, Dendrophora sp. and Chaetomium sp. caused limited lesion at first, but were able to colonize the tissue as it aged and senesced. This study showed the presence of a potential endogenous pathogenic fungi in Jordan, which can be investigated as a biological control for Orobanche.

• Journal of Veterinary Clinics
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• v.27 no.3
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• pp.257-261
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• 2010

The development of blood ionic changes could be precipitated in acid-base disorder and subsequent treatment. As technology for detecting circulating ionized $Mg^{2+}$ (the most interesting form with respect to physiological and biological properties) is now available in veterinary clinical medicine. This present study investigated the changes of whole blood ionized $Mg^{2+}$ correlated with acute metabolic and respiratory alkalosis in rodent model. Metabolic alkalosis was induced by intravenous infusion with $NaHCO_3$ and mechanical hyperventilation was applied for respiratory alkalosis. We founded that the blood ionized $Mg^{2+}$ could be reversibly decreased by the $NaHCO_3$-induced acute metabolic alkalosis but irreversibly increased by the mechanical hyperventilation-induced respiratory acidosis and respiratory acidosis. We suggested that the potential change in blood suggested that the potential change in blood ionized $Mg^{2+}$ should be counted in treatment of acid-base disorders.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.112-119
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• 2017

Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.