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| 1 | Prediction of effluent concentration in a wastewater treatment plant using machine learning models显示文摘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 stage.However, 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. | Hong Guo Kwanho Jeong Jiyeon Lim Jeongwon Jo Young Mo Kim Jong-pyo Park Joon Ha Kim Kyung Hwa Cho | 2015 | Journal of Environmental Sciences2015，27，6： | 4 |
| 2 | Activation of macrophages by polysaccharide isolated from Paecilomyces cicadae through toll-like receptor 4显示文摘 | Hyung Sook Kim Yeon Jin Kim Hong Kyung Lee Hwa Sun Ryu Ji Sung Kim Mi Jung Yoon Jong Soon Kang Jin Tae Hong Youngsoo Kim Sang-Bae Han | 2012 | Food and Chemical Toxicology2012，，9： | 1 |
| 3 | Pore structure analysis of activated carbon fiber by microdomain-based model 显示文摘 | Nanako Shiratori Kyung Jin Lee Jill Miyawaki Seong Hwa Hong Isao Mochida Bai An Kiyoshi Yokogawa Jyongsik Jang Seong Ho Yoon | 2009 | Langmuir2009，25，13： | 1 |
| 4 | Tussilagone inhibits dendritic cell functions via induction of heme oxygenase-1显示文摘 | Yunsoo Park Hwa Sun Ryu Hong Kyung Lee Ji Sung Kim Jieun Yun Jong Soon Kang Bang Yeon Hwang Jin Tae Hong Youngsoo Kim Sang-Bae Han | 2014 | International Immunopharmacology2014，，： | 1 |
| 5 | 查看详情显示文摘 | Tae Jin Kang Kyung Hwa Hong Mi Ran Yoo | | 0，，： | 1 |
| 6 | Preparation of antimicrobial poly (vinyl alcohol) nanofibers eontaining silver nanopartieles显示文摘 | Kyung Hwa Hong | 2006 | J Polym Sci Part B:Polym Phys2006，44，17： | 1 |
| 7 | Polyaniline-Nylon 6 composite fabric for ammonia gas sensor显示文摘 | Hong Kyung Hwa Oh Kyung Wha Kang Tae Jin | 2004 | J Appl Polym Sci2004，，92： | 1 |
| 8 | Intermittent, low-dose, antiandrogen monotherapy as an alternative therapeutic option for patients with positive surgical margins after radical prostatectomy显示文摘 | Kyung Hwa Choi Seung Ryeol Lee Young Kwon Hong Dong Soo Park | 2018 | Asian Journal of Andrology2018，20，3： | 1 |
| 9 | Preparation and Properties of Fumed Silica/Kevlar Composite Fabrics forApplication of Stab Resistant Material 显示文摘 | Tae Jin Kang Kyung Hwa Hong and Mi Ran Yoo | 2010 | Fibers and Polymers2010，11，5： | 1 |
| 10 | Electrical properties of conductive fabrics for operating capacitive touch screen displays显示文摘 | Jihyun Bae Kyung Hwa Hong | 2013 | Textile Research Journal2013，83，4： | 1 |
| 11 | Preparation and properties of electrospun poly(vinyl alcohol)/ silver fiber web as wound dressings显示文摘 | Kyung Hwa Hong | 2007 | Polymer Engineering & Science2007，47，： | 1 |
| 12 | Electrically conductive textiles by in situ polymerization of aniline 显示文摘 | OH Kyung Wha HONG Kyung Hwa KIM Seong Hun | 1999 | Journal of Applied Polymer Science1999，74，8： | 1 |
| 13 | Preparationof conducting nylon-6 electrospun fiber webs by the In site poly-merization of polyaniline 显示文摘 | Kyung Hwa Hong Kyung wha Oh Tae Jin Kang | 2005 | Applied Polymer Science2005，96，4： | 1 |
| 14 | Preparation of antimicrobial poly ( vinyl alcohol) nanoflbers containing silver nanoparticles 显示文摘 | KYUNG Hwa Hong JONG Lyoul Park IN Hwan Sul | 2006 | Journal of Polymer Science Part B Polymer Physics2006，44，17： | 1 |
| 15 | Survival benefit of concurrent chemoradiotherapy for advanced ampulla of Vater cancer显示文摘BACKGROUND Currently,there is no standard adjuvant therapy for patients with resected ampulla of Vater(AoV)cancer.AIM To evaluate the effectiveness of adjuvant concurrent chemoradiotherapy(CCRT)in patients with advanced AoV cancer who underwent curative resection.METHODS This single-centered,retrospective study included 29 patients with advanced AoV cancer who underwent pancreaticoduodenectomy between 2006 and 2018.The impact of CCRT on advanced AoV cancer was analyzed.RESULTS The 1-,3-,and 5-yr recurrence-free survival(RFS)rates for patients with advanced AoV cancer were 82.8%,48.3%,and 40.8%,respectively,and the overall survival(OS)rates were 89.7%,62.1%,and 51.7%,respectively.Lymphovas-cular invasion was found to be a significant risk factor for RFS and OS in patients with advanced AoV cancer in the univariate analysis,whereas T stage and lymph node metastasis were significantly associated with OS in the multivariate analysis.Compared to the patients who did not receive adjuvant CCRT,those who received adjuvant CCRT did not show statistically significant improvements in the RFS and OS,although they had a significantly lower average age and significantly higher platelet-to-lymphocyte ratio.CONCLUSION Adjuvant CCRT did not improve survival outcomes in patients with advanced AoV cancer.These findings contribute to existing knowledge on the effectiveness of CCRT in this patient population and provide important insights for clinical decision-making. | Chae Hwa Kwon Hyung Il Seo Dong Uk Kim Sung Yong Han Suk Kim Nam Kyung Lee Seung Baek Hong Ji Hyun Ahn Young Mok Park Byeong Gwan Noh | 2024 | World Journal of Clinical Cases2024，12，2： | 0 |
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