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Prediction of effluent concentration in a wastewater treatment plant using machine learning models

Journal of Environmental Sciences 2015年第6期27卷 90-101页

作者： Hong Guo Kwanho Jeong jiyeon lim Jeongwon Jo Young Mo Kim Jong-pyo Park Joon Ha Kim Kyung Hwa Cho School of Environmental Science and Engineering Gwangju Institute of Science and Technology (GIST) School of Urban and Environmental Engineering Ulsan National Institute of Science and Technology HECOREA. INC

Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentration of total nitrogen（T-N） impact on the effluent water quality. The objective of this study is to establish two machine learning models-artificial neural networks（ANNs） and support vector machines（SVMs）, in order to predict 1-day interval T-N concentration of effluent from a wastewater treatment plant in Ulsan, Korea. Daily water quality data and meteorological data were used and the performance of both models was evaluated in terms of the coefficient of determination（R^2）, Nash-Sutcliff efficiency（NSE）, relative efficiency criteria（d rel）. Additionally, Latin-Hypercube one-factor-at-a-time（LH-OAT） and a pattern search algorithm were applied to sensitivity analysis and model parameter optimization, respectively. Results showed that both models could be effectively applied to the 1-day interval prediction of T-N concentration of effluent. SVM model showed a higher prediction accuracy in the training stage and similar result in the validation ***, the sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T-N concentration and modeling input values to integrated food waste and waste water treatment. This study suggested the efficient and robust nonlinear time-series modeling method for an early prediction of the water quality of integrated food waste and waste water treatment process.

关键词： Artificial neural network Support vector machine Effluent concentration Prediction accuracy Sensitivity analysis

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Scalp electroacupuncture at the Baihui acupoint (DU 20) improves functional recovery in rats with cerebral ischemia Association with increased expression of vascular endothelial growth factors

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Neural Regeneration Research 2011年第36期6卷 2822-2828页

作者： Min-Wook Kim You Chul Chung Hee Chan Jung Moon-Seo Park Young-Min Han Yong-An Chung Lee-So Maeng Sang-In Park jiyeon lim Seung Chan Kim Woo-Seok Im Jin Young Chung Minky Kim Manho Kim Institute of Catholic Integrative Medicine (ICIM) Incheon St. Mary’s Hospital Catholic University of Korea Incheon Korea Department of Rehabilitation Medicine Catholic University of Korea Seoul Korea Department of Neurology Seoul National University Hospital SNUMRC Seoul Korea Department of Biotechnology Yonsei University Seoul Korea Department of Neurology Seoul Medical Center Seoul Korea

In this study, we induced cerebral infarction in rats by occluding the right middle cerebral artery, and tested the effects of electroacupuncture at the Baihui acupoint （DU 20）. Motor and sensory function was tested using Garcia’s scale and motor weakness grading, and the expression of vascular endothelial growth factor in the brain was quantified using immunoblotting and immunohistochemistry. We found that scalp electroacupuncture at DU 20 significantly improved motor performance and sensory function in rats with stroke, and this was accompanied by an increased expression of vascular endothelial growth factor in the ischemic brain tissue and peri-ischemic area. In addition, Pearson correlation analysis showed that the improvements in functional recovery were correlated with the increased expression of vascular endothelial growth factor.

关键词： electroacupuncture cerebrovascular disorder vascular endothelial growth factor Baihui acupoint functional improvement

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Single-cell and spatial omics:exploring hypothalamic heterogeneity

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Neural Regeneration Research 2025年第6期20卷 1525-1540页

作者： Muhammad Junaid Eun Jeong Lee Su Bin lim Department of Biochemistry&Molecular Biology Ajou University School of MedicineSuwonSouth Korea Department of Biomedical Sciences Graduate School of Ajou UniversitySuwonSouth Korea Department of Brain Science Ajou University School of MedicineSuwonSouth Korea

Elucidating the complex dynamic cellular organization in the hypothalamus is critical for understanding its role in coordinating fundamental body functions. Over the past decade, single-cell and spatial omics technologies have significantly evolved, overcoming initial technical challenges in capturing and analyzing individual cells. These high-throughput omics technologies now offer a remarkable opportunity to comprehend the complex spatiotemporal patterns of transcriptional diversity and cell-type characteristics across the entire hypothalamus. Current single-cell and single-nucleus RNA sequencing methods comprehensively quantify gene expression by exploring distinct phenotypes across various subregions of the hypothalamus. However, single-cell/single-nucleus RNA sequencing requires isolating the cell/nuclei from the tissue, potentially resulting in the loss of spatial information concerning neuronal networks. Spatial transcriptomics methods, by bypassing the cell dissociation, can elucidate the intricate spatial organization of neural networks through their imaging and sequencing technologies. In this review, we highlight the applicative value of single-cell and spatial transcriptomics in exploring the complex molecular-genetic diversity of hypothalamic cell types, driven by recent high-throughput achievements.

关键词： cellular diversity hypothalamus multi-omics single-cell transcriptomics spatial transcriptomics

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Automatic Discontinuity Classification of Wind-turbine Blades Using A-scan-based Convolutional Neural Network

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Journal of Modern Power Systems and Clean Energy 2021年第1期9卷 210-218页

作者： jiyeon Choung Sun lim Seung Hwan lim Su Chung Chi Mun Ho Nam Korea Electronics Technology Institute 401-402Bucheon Technopark655Pyeongcheon-roWonmi-guBucheon-siGyeonggi-do 14502Korea Sam Yong Inspection Engineering Co.Ltd.

Recent development trends in wind power generation have increased the importance of the safe operation of wind-turbine blades(WTBs). To realize this objective, it is essential to inspect WTBs for any defects before they are placed into operation. However, conventional methods of fault inspection in WTBs can be rather difficult to implement, since complex curvatures that characterize the WTB structures must ensure accurate and reliable inspection. Moreover, it is considered useful if inspection results can be objectively and consistently classified and analyzed by an automated system and not by the subjective judgment of an inspector. To address this concern,the construction of a pressure-and shape-adaptive phased-array ultrasonic testing platform, which is controlled by a nanoengine operation system to inspect WTBs for internal defects, has been presented in this paper. An automatic classifier has been designed to detect discontinuities in WTBs by using an A-scanimaging-based convolutional neural network(CNN). The proposed CNN classifier design demonstrates a classification accuracy of nearly 99%. Results of the study demonstrate that the proposed CNN classifier is capable of automatically classifying the discontinuities of WTB with high accuracy, all of which could be considered as defect candidates.

关键词： Wind-turbine blade(WTB) blade inspection platform convolutional neural network(CNN) discontinuity phased-array ultrasonic testing(PAUT) A-scan

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Discovery of Zr-based metal-organic polygon:Unveiling new design opportunities in reticular chemistry

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Nano Research 2021年第2期14卷 392-397页

作者： jiyeon Kim Dongsik Nam Hiroshi Kitagawa Dae-Woon lim Wonyoung Choe Department of Chemistry Ulsan National Institute of Science and Technology50 UNIST-gilUlsan 44919Republic of Korea Department of Chemistry Graduate School of ScienceKyoto UniversityKitashirakawa Oiwake-choSakyo-kuKyoto 606-8502Japan Department of Chemistry and Medical Chemistry College of Science and TechnologyYonsei University1 Yonseidae-gilWonjuGangwon-do 26493Republic of Korea

Metal-based secondary building unit and the shape of organic ligands are the two crucial factors for determining the final topology of metal-organic materials.A careful choice of organic and inorganic structural building units occasionally produces unexpected structures,facilitating deeper fundamental understanding of coordination-driven self-assembly behind metal-organic ***,we have synthesized a triangular metal-organic polygon(MOT-1),assembled from bulky tetramethyl terephthalate and Zr-based secondary building ***,the Zr-based secondary building unit serves as an unusual ditopic Zr-connector,toform metal-organic polygon MOT-1,proven to be a good candidate for water adsorption with *** study highlights the interplay of the geometrically frustrated ligand and secondary building unit in controlling the connectivity of metal-organic *** a strategy can be further used to unveil a new class of metal-organic materials.

关键词： reticular chem istry Zr-based metal-organic polygon geometrical frustration ditopic secondary building unit

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Surface Characteristics of Mussel-inspired Polydopamine Coating on Titanium Substrates

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Journal of Wuhan University of Technology(Materials Science) 2014年第1期29卷 197-200页

作者：姜玲 JIN Guangchun KANG jiyeon YU Lingmin YOON Wookang lim MyungJin PAR K Ilsong LEE Minho JIN Dongchun Yantai Affiliated Hospital of Binzhou Medical University Oral Medical College Beihua University Department of Oral and Maxillofacial Surgery Hallym University Dongtan Sacred Heart Hospital Department of Dental Biomaterials and Institute of Oral Bioscience School of Dentistry BK21 Project Chonbuk National University Department of Veterinary Yanbian University

Mussel adhesive proteins are non-toxic, biodegradable and have low immunogenic qualities that make them highly attractive for medical purposes compared with man-made materials. 3,4-DOPA, which is a dopamine precursor, is a critical element for achieving mussel-like adhesive properties. In present study, polydopamine was coated onto the titanium surfaces by dipping in a 2 mg/mL dopamine solution in 10 mM Tris- HCl buffer at pH 8.5. EDX element analysis and Raman spectroscopic analysis of the surface were conducted to verify the formation of polydopamine. The surface characteristics of polydopamine-coated titanium plates were observed by SEM and AFM. Hydrophilicity and corrosion-resistance were also evaluated by static contact angle measurements and potentiodynamic polarization corrosion tests. The absorption intensity for pH-induced polymerization rapidly increased for the initial four hours and thereafter smoothly increased. EDX element analyses revealed that the content of carbon and oxygen increased and the content of titanium decreased after the coating process. In the Raman spectra, polydopamine resulted in two new peaks at approximately 1 370 and 1 570 cm^-1 resulting from the stretching and deformation of catechol. Microstructural features revealed that nanometer-sized bright granules were randomly distributed after coating, and these nanoparticles grew with increased coating time. The Ra values of polydopamine-coated titanium plates were showed to increase with coating time. Compared to the pure titanium curve, the inflection point of polydopamine-coated titanium was located at a higher corrosion potential and lower corrosion current density. Findings from our research suggested that polydopamine coatings offer a versatile approach for titanium surface modification.

关键词： surface modification titanium polydopamine surface characteristics

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Characterizations of organic compounds in diesel exhaust particulates

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Journal of Environmental Sciences 2015年第8期27卷 171-183页

作者： Jaehyun lim Cheolsoo lim Sangkyun Kim Jihyung Hong Division of Global Environment Research National Institute of Environmental Research Department of Climate and Air Quality Research National Institute of Environmental Research

To characterize how the speed and load of a medium-duty diesel engine affected the organic compounds in diesel particle matter（PM） below 1 μm, four driving conditions were examined. At all four driving conditions, concentration of identifiable organic compounds in PM ultrafine（34–94 nm） and accumulation（94–1000 nm） modes ranged from 2.9 to 5.7 μg/m3 and 9.5 to 16.4 μg/m3, respectively. As a function of driving conditions, the non-oxygencontaining organics exhibited a reversed concentration trend to the oxygen-containing organics. The identified organic compounds were classified into eleven classes： alkanes,alkenes, alkynes, aromatic hydrocarbons, carboxylic acids, esters, ketones, alcohols, ethers,nitrogen-containing compounds, and sulfur-containing compounds. At all driving conditions,alkane class consistently showed the highest concentration（8.3 to 18.0 μg/m3） followed by carboxylic acid, esters, ketones and alcohols. Twelve polycyclic aromatic hydrocarbons（PAHs）were identified with a total concentration ranging from 37.9 to 174.8 ng/m3. In addition, nine nitrogen-containing polycyclic aromatic compounds（NPACs） were identified with a total concentration ranging from 7.0 to 10.3 ng/m3. The most abundant PAH（phenanthrene）and NPACs（7,8-benzoquinoline and 3-nitrophenanthrene） comprise a similar molecular（3 aromatic-ring） structure under the highest engine speed and engine load.

关键词： Diesel particle matter Organic compounds Polycyclic aromatic hydrocarbons Nitrogen-containing polycyclic aromatic compounds

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Landau damping of twisted waves in Cairns distribution with anisotropic temperature

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Plasma Science and Technology 2021年第8期23卷 18-28页

作者： Sunggeun LEE Hankwon lim School of Energy and Chemical Engineering UNIST50UNIST-gilEonyang-eupUlju-gunUlsan 44919Republic of Korea

The consideration of orbital angular momentum of an electric field(twisted mode)is applied to the kinetic theory of *** linearized Vlasov–Poisson equation is solved for the anisotropic thermal distributed bi-Maxwellian and Cairns distributions of electrons to obtain the damping rates of twisted *** dispersion relation and Landau damping of Langmuir twisted modes are *** presence of twisted modes opens up two more possibilities in Landau damping and dispersion *** may generate a mixture with ion sound *** seems to play the role of a control parameter of Landau damping.

关键词： Landau damping Cairns distribution function anisotropic

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Emissions of Er3+ and Yb3+ co-doped SrZrO3 nanocrystals under near-infrared and near-ultraviolet excitations

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Journal of Advanced Ceramics 2020年第4期9卷 413-423页

作者： Hyeontae lim Juyeong lim Soyoung Jang Y.S.Lee Department of Physics Soongsil UniversitySeoul06978Republic of Korea

In this study,the upconversion(UC)emissions of Er3+and Yb3+co-doped SrZrO3 nanocrystals(NCs)were investigated in terms of the thermal annealing temperature and concentration of Er3+ions and compared with the emissions under a near-ultraviolet(near-UV)*** NCs were synthesized by the combustion method,and the as-synthesized NCs were post-annealed at high *** X-ray diffraction patterns revealed that the grain sizes and crystallinity degrees of the samples increased with increasing annealing *** photoluminescence spectra of our samples exhibited strong green and very weak red emissions with the near-UV excitation,originating from the f-f transitions in the Er3+***,under near-infrared(near-IR)excitation,we identified sizable visible emissions at 525,547,and 660 nm in our NCs,which indicated that the UC process successfully occurred in our *** UC emissions were maximized in the NCs with an Er3+concentration of 0.02 and thermal annealing at 1000°*** found that the intensity ratios of red to green emissions increased with increasing annealing *** discussed the differences in the emissions between near-UV and near-IR excitations.

关键词： Er3+and Yb3+co-doped SrZrO3 upconversion downshifting nanocrystals combustion method annealing temperature

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On p^(j)-rank of Even K-groups of Rings of Integers

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Acta Mathematica Sinica,English Series 2024年第10期40卷 2481-2496页

作者： Meng Fai lim School of Mathematics and Statistics&Hubei Key Laboratory of Mathematical Sciences Central China Normal UniversityWuhan 430079P.R.China

Let L/F be a finite Galois extension of number fields of degree n and let p be a prime which does not divide *** shall study the p^(j)-rank of K_(2i)(O_(L))via its Galois module structure following the approaches of Iwasawa and Komatsu–*** the way,we generalize previous observations of Browkin,Wu and Zhou on K_(2)-groups to higher even *** also give examples to illustrate our ***,we apply our discussion to refine a result of Kitajima pertaining to the p-rank of even K-groups in the cyclotomic Z_(l)-extension,where l≠p.

关键词： p^(j)-rank even K-groups rings of integers

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