• Title/Summary/Keyword: affect states

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Photophysical Properties of 1,3-Dimethylnaphtho[1,2-e]uracil

  • Shim, Sang-Chul;Shin, Eun-Ju;Park, Seung-Ki;Kang, Ho-Kwon
    • Bulletin of the Korean Chemical Society
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    • v.7 no.3
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    • pp.196-200
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    • 1986
  • The solvent change and salt do not affect the fluorescence quantum yield of 1,3-dimethylnaphtho[1,2-e]uracil indicating the considerable energy gap between the lowest singlet $({\pi},\;{\pi}^{\ast})\;and\;(n,\;{\pi}^{\ast})$ states in the compound. The results are consistent with the strong quenching of fluorescence by ethyl iodide. Fluorescence quantum yield is nearly independent of temperature, probably due to the relatively inefficient internal conversion. Unusual spectral difference is observed in isopentane and ethanol at 77K. The temperature dependence of emission in isopentane and in ethanol suggests that the increase of charge transfer character by the conformational change in isopentane leads to the structureless and red-shifted fluorescence, while in ethanol the decrease of the charge transfer character by the hydrogen bonding interaction results in the structured and blue-shifted fluorescence along with phosphorescence at the low temperature. Temperature dependence of emission in poly(methylmethacrylate) matrix indicates that $T_1{\to}S_0$ radiationless decay is an important process responsible for the strong temperature dependence of phosphorescence.

Medium-range Orders in Amorphous Alloys and Their Role on the Plasticity: A Molecular Dynamics Viewpoint Study (비정질 합금의 중주기배열구조 및 이 구조가 소성에 미치는 역할: 분자동력학적 연구)

  • Lee, Chang-Myeon;Lee, Mirim;Lee, Kwang-Ryeol;Kang, Kyung-Han;Lee, Byeong-Joo;Lee, Jae-Chul
    • Korean Journal of Metals and Materials
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    • v.48 no.2
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    • pp.101-108
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    • 2010
  • The local structural states of amorphous alloys have been depicted previously via short-range orders (SROs). However, the concept of SROs alone is inadequate and sometimes insufficient to explain the structure-property relation of the amorphous alloys. In this study, we propose new types of medium-range building structures that affect the mechanical properties, plasticity in particular. Using a combination of molecular dynamics simulations and the Voronoi tessellation method, we demonstrate a three-dimensional configuration of icosahedral medium-range orders (I-MROs) and elucidate how these icosahedral orders evolve by the application of shear deformation. It was observed that the structural stability of the icosahedral orders relies largely on how they are linked via percolation and this linking is explained in detail.

Effects of freezing and thawing on retaining wall with changes in groundwater level

  • Kim, Garam;Kim, Incheol;Yun, Tae Sup;Lee, Junhwan
    • Geomechanics and Engineering
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    • v.24 no.6
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    • pp.531-543
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    • 2021
  • Freezing and thawing of pore water within backfill can affect the stability of retaining wall as the phase change of pore water causes changes in the mechanical characteristics of backfill material. In this study, the effects of freezing and thawing on the mechanical performance of retaining wall with granular backfill were investigated for various temperature and groundwater level (GWL) conditions. The thermal and mechanical finite element analyses were performed by assigning the coefficient of lateral earth pressure according to phase change of soil for at-rest, active and passive stress states. For the at-rest condition, the mobilized lateral stress and overturning moment changed markedly during freezing and thawing. Active-state displacements for the thawed condition were larger than for the unfrozen condition whereas the effect of freezing and thawing was small for the passive condition. GWL affected significantly the lateral force and overturning moment (Mo) acting on the wall during freezing and thawing, indicating that the reduction of safety margin and wall collapse due to freezing and thawing can occur in sudden, unexpected patterns. The beneficial effect of an insulation layer between the retaining wall and the backfill in reducing the heat conduction from the wall face was also investigated and presented.

A Study on the Effect of Logistics Performance on the Trade of Goods in the Korea-ASEAN FTA (한-아세안 FTA 상품무역의 물류성과 효과에 대한 연구)

  • Ahn, TaeKun
    • Journal of Korea Port Economic Association
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    • v.37 no.4
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    • pp.145-160
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    • 2021
  • This study attempted to analyze the trade in goods effect of the Korea-ASEAN FTA by using logistics performance index, which are evaluation indicators of logistics industry workers on the logistics environment and logistics system in international trade. The World Bank's logistics performance index are six indicators: customs clearance, logistics infra, ease of shipment, logistics services, goods tracking abilities, and on-time transportation. The purpose of this study was to examine how it affects commodity trade between Korea and ASEAN states using the gravity model using panel data. Through this, it was confirmed that logistics performance index affect the increase in commodity trade.

Factors that Affect Remission of Chemotherapy-Induced Peripheral Neuropathy Symptoms: Short-Term Prospective Study

  • Jeong, Gay Suk;Choi, Jin Yi;Choi, Heejung
    • Journal of Korean Biological Nursing Science
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    • v.24 no.2
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    • pp.86-94
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    • 2022
  • Purpose: Patients experiencing chemotherapy-induced peripheral neuropathy (CIPN) apply various palliative care as well as drugs in their daily life to alleviate symptoms. There is a need to identify the influence of these efforts and patients' psychosocial status on the relief of CIPN symptoms. This short-term prospective study investigated how prescription drugs, non-pharmacological behaviors (exercise, massage, and heat therapy), and psychological states (social support, depression, and anxiety) affected CIPN symptoms. Methods: Participants scheduled to receive postoperative platinum or taxane-based chemotherapy were enrolled consecutively. CIPN was measured with the Neurotoxicity-12 subscale of the Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity-12 instrument. Data were collected three times during the 4 or 5 cycles of chemotherapy. Results: At the end of the 2nd chemotherapy cycle, 93.1% of participants reported CIPN symptoms. Multiple regression analyses showed that a heat therapy (β= -.34, p< .001), massage (β= -.21, p= .012), and walking 5 times or more per week (β= -.26, p= .021) provided relieve for CIPN symptoms. Depression (β= .19, p= .027) significantly exacerbated CIPN symptoms. Conclusion: These results suggested that a comprehensive management program that includes walking, heat therapy, massage, and mood therapy should be encouraged. Moreover, patients should be educated at chemotherapy initiation to understand appropriate interventions that can relieve CIPN symptoms.

Theoretical formulations of current and unique Rayleigh waves with impedance boundary condition embedding normal stress

  • Nguyen, Xuan Quynh;Lee, Dongkyu
    • Smart Structures and Systems
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    • v.29 no.2
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    • pp.279-286
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    • 2022
  • In this article, a novel propagation formulation of Rayleigh waves in a compressible isotropic half-space with impedance boundary condition is proposed by embedding the normal stress. In a two-dimensional case, it is assumed that a design boundary is free of normal traction and a shear traction depends on linearly a normal component of displacements multiplied by frequencies. Therefore, impedance boundary conditions affect the normal stress, where the impedance parameters correspond to dimensions of stresses over velocity. On the other hand, vanished impedance values are traction-free boundary conditions. The main purpose of this article is to present theoretically the existence and uniqueness of a Rayleigh wave formulation relying on secular equation's mathematical analyses. Its velocity varies along with the impedance parameters. Moreover, numerical experiments with different values for the velocity of Rayleigh waves are carried out. The present Rayleigh waves study is a fundamental step in analyzing the cause and effect of physical states such as building or structure damages resulting from natural dynamics. The results of the study generate a basic design formulation theory to test the effects of Rayleigh waves affecting structures when an earthquake occurs. The presence and uniqueness of the proposed formulation is verified by mutual comparisons of several numerical examples.

Lattice-spring-based synthetic rock mass model calibration using response surface methodology

  • Mariam, Al-E'Bayat;Taghi, Sherizadeh;Dogukan, Guner;Mostafa, Asadizadeh
    • Geomechanics and Engineering
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    • v.31 no.5
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    • pp.529-543
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    • 2022
  • The lattice-spring-based synthetic rock mass model (LS-SRM) technique has been extensively employed in large open-pit mining and underground projects in the last decade. Since the LS-SRM requires a complex and time-consuming calibration process, a robust approach was developed using the Response Surface Methodology (RSM) to optimize the calibration procedure. For this purpose, numerical models were designed using the Box-Behnken Design technique, and numerical simulations were performed under uniaxial and triaxial stress states. The model input parameters represented the models' micro-mechanical (lattice) properties and the macro-scale properties, including uniaxial compressive strength (UCS), elastic modulus, cohesion, and friction angle constitute the output parameters of the model. The results from RSM models indicate that the lattice UCS and lattice friction angle are the most influential parameters on the macro-scale UCS of the specimen. Moreover, lattice UCS and elastic modulus mainly control macro-scale cohesion. Lattice friction angle (flat joint fiction angle) and lattice elastic modulus affect the macro-scale friction angle. Model validation was performed using physical laboratory experiment results, ranging from weak to hard rock. The results indicated that the RSM model could be employed to calibrate LS-SRM numerical models without a trial-and-error process.

Crop Yield and Crop Production Predictions using Machine Learning

  • Divya Goel;Payal Gulati
    • International Journal of Computer Science & Network Security
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    • v.23 no.9
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    • pp.17-28
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    • 2023
  • Today Agriculture segment is a significant supporter of Indian economy as it represents 18% of India's Gross Domestic Product (GDP) and it gives work to half of the nation's work power. Farming segment are required to satisfy the expanding need of food because of increasing populace. Therefore, to cater the ever-increasing needs of people of nation yield prediction is done at prior. The farmers are also benefited from yield prediction as it will assist the farmers to predict the yield of crop prior to cultivating. There are various parameters that affect the yield of crop like rainfall, temperature, fertilizers, ph level and other atmospheric conditions. Thus, considering these factors the yield of crop is thus hard to predict and becomes a challenging task. Thus, motivated this work as in this work dataset of different states producing different crops in different seasons is prepared; which was further pre-processed and there after machine learning techniques Gradient Boosting Regressor, Random Forest Regressor, Decision Tree Regressor, Ridge Regression, Polynomial Regression, Linear Regression are applied and their results are compared using python programming.

Light and Electron Microscopy Studies Elucidating Mechanisms of Tomato Leaf Infection by Pseudocercospora fuligena

  • Zelalem Mersha;Girma Birru;Bernhard Hau
    • The Plant Pathology Journal
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    • v.39 no.2
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    • pp.181-190
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    • 2023
  • The fungal pathogen Pseudocercospora fuligena, known to affect tomatoes in the tropics and subtropics, has been reported from temperate climates including the United States and Turkey in recent years. In this study, an isolate from fresh tomatoes and the disease it causes were characterized and infection mechanisms investigated. Macroscopically, both sides of tomato leaves show indistinct effuse patches but prolific production of fuliginous lesions is conspicuous on the abaxial side first but also on the adaxial side later on as infection progressed. Microscopically, fascicles of conidiophores (11-128 ㎛ × 3.5-9 ㎛) arising from stromata and conidia with up to 12 septations were observed. Molecular characterization of the isolate revealed high homology (99.8%) to other P. fuligena isolated from tomatoes in Turkey. Out of the 10 media tested, P. fuligena grew significantly well and sporulated better on unsealed tomato oatmeal agar and carrot leaf decoction agar, both supplemented with CaCO3. Direct transfer of conidia from profusely sporulating lesions was the easiest and quickest method of isolation for in-vitro studies. Light and scanning electron microscopy on cleared and intact tomato leaves further confirmed stomatal penetration and egress as well as prevalence of primary and secondary infection hyphae. In situ, blocked stomatal aperture areas of 154, 401, and 2,043 ㎛2 were recorded at 7, 12, and 17 days after inoculation, respectively. With the recent expanded horizon of the pathosystem and its consequential impact, such studies will be useful for a proper diagnosis, identification and management of the disease on tomato worldwide.

A Review of the Efficacy of Ultraviolet C Irradiation for Decontamination of Pathogenic and Spoilage Microorganisms in Fruit Juices

  • Ahmad Rois Mansur;Hyun Sung Lee;Chang Joo Lee
    • Journal of Microbiology and Biotechnology
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    • v.33 no.4
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    • pp.419-429
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    • 2023
  • Ultraviolet C (UV-C, 200-280 nm) light has germicidal properties that inactivate a wide range of pathogenic and spoilage microorganisms. UV-C has been extensively studied as an alternative to thermal decontamination of fruit juices. Recent studies suggest that the efficacy of UV-C irradiation in reducing microorganisms in fruit juices is greatly dependent on the characteristics of the target microorganisms, juice matrices, and parameters of the UV-C treatment procedure, such as equipment and processing. Based on evidence from recent studies, this review describes how the characteristics of target microorganisms (e.g., type of microorganism/strain, acid adaptation, physiological states, single/composite inoculum, spore, etc.) and fruit juice matrices (e.g., UV absorbance, UV transmittance, turbidity, soluble solid content, pH, color, etc.) affect the efficacy of UV-C. We also discuss the influences on UV-C treatment efficacy of parameters, including UV-C light source, reactor conditions (e.g., continuous/batch, size, thickness, volume, diameter, outer case, configuration/arrangement), pumping/flow system conditions (e.g., sample flow rate and pattern, sample residence time, number of cycles), homogenization conditions (e.g., continuous flow/recirculation, stirring, mixing), and cleaning capability of the reactor. The collective facts indicate the immense potential of UV-C irradiation in the fruit juice industry. Existing drawbacks need to be addressed in future studies before the technique is applicable at the industrial scale.