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One-Pot Synthesis of Monodisperse 5 nm Pd–Ni Nanoalloys for Electrocatalytic Ethanol Oxidation
Lee, Kyungwon,Kang, Shin Wook,Lee, Su-Un,Park, Kyu-Hwan,Lee, Young Wook,Han, Sang Woo American Chemical Society 2012 ACS APPLIED MATERIALS & INTERFACES Vol.4 No.8
<P>Highly monodisperse 5 nm Pd–Ni alloy nanoparticles (NPs) were prepared by the reduction of Pd(acac)<SUB>2</SUB>/Ni(acac)<SUB>2</SUB> mixtures with tert-butylamine-borane complex (TBAB) in the presence of oleic acid (OA) and oleylamine (OAm). Employing TBAB as an effective reductant and OA/OAm combination as an effective stabilizing agent is crucial to the formation of monodisperse Pd–Ni NPs. Experimental results collectively verify that the Pd–Ni alloy NPs form through the sequential nucleation-interdiffusion process and the simultaneous reduction of both metal precursors by the one-pot protocol is the key to the formation of homogeneous NPs. The Pd–Ni NPs were well-dispersed on carbon supports and chemically dealloyed after acetic acid washing through the selective dissolution of the less noble Ni component. The Pd–Ni NP catalysts exhibited much higher electrocatalytic activity and stability for ethanol oxidation than those of a commercial Pd/C catalyst.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/aamick/2012/aamick.2012.4.issue-8/am300923s/production/images/medium/am-2012-00923s_0009.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/am300923s'>ACS Electronic Supporting Info</A></P>
Kim, Soo Hyun,Shin, Jong Hee,Kim, Eui-Chong,Lee, Kyungwon,Kim, Mi-Na,Lee, Won Gil,Uh, Young,Lee, Hye Soo,Lee, Mi-Kyung,Jeong, Seok Hoon,Jung, Sook In,Park, Kyung Hwa,Lee, Jin-Sol,Shin, Myung Geun,Suh, Oxford University Press 2009 Medical mycology Vol.47 No.3
<P>There have been very few multicenter studies of the relationship between the use of antifungals and resistance to them. We investigated the antifungal susceptibility of 1,301 clinical isolates of Candida collected from nine Korean hospitals during a 3-month period in 2006 to explore the existence of this type of relationship. Antifungal usage in the preceding year, defined as the daily dose per 1,000 patient days (DDD/1,000 PD), was calculated for each hospital. Resistance to fluconazole, itraconazole, and amphotericin B was detected in 2, 9, and 0.2% of the isolates, respectively. The MIC(50)/MIC(90) values were 0.03/0.125 mg/L for voriconazole, 0.06/0.25 mg/l for caspofungin, and 0.03/0.125 mg/l for micafungin. The total usage of systemic antifungals varied considerably among the nine hospitals, ranging from 6.1 to 96.2 DDD/1,000 PD. No relationship was found between the use of fluconazole (MIC> or =64 mg/l) or itraconazole (MIC> or =1 mg/l) and resistance in the Candida species (P>0.05). However, significant correlations were found between the percentage of Candida isolates that were non-susceptible to fluconazole (MIC> or =16 mg/l) and fluconazole usage (r=0.733, P=0.025) or total antifungal usage (r=0.767, P=0.016).</P>
Lee, Mi-Kyung,Yong, Dongeun,Kim, Myungsook,Kim, Mi-Na,Lee, Kyungwon Korean Society for Laboratory Medicine (KAMJE) 2010 Annals of Laboratory Medicine Vol.30 No.4
<P>BACKGROUND: We utilized results from the ARTEMIS DISK Global Antifungal Surveillance Program to evaluate the species distribution and fluconazole and voriconazole susceptibilities of yeast isolates from clinical specimens in South Korea from 2001 to 2007. METHODS: Data were collected on 5,665 yeast isolates from all body sites at three locations. All investigators tested clinical yeast isolates using the CLSI M44-A disk diffusion method. Test plates were automatically read and results were recorded using the BIOMIC image analysis plate reader system (Giles Scientific, USA). Species, drug, zone diameter, susceptibility category, and quality control results were collected quarterly via e-mail for analysis. RESULTS: Candida albicans was the most common isolate, but a progressive increase in non-C. albicans Candida and noncandidal yeast species has been observed in recent years. The overall percentages of isolates in each category (susceptible, susceptible dose dependent, and resistant) were 98.8%, 0.5%, and 0.7% and 99.2%, 0.2%, and 0.6% for fluconazole and voriconazole, respectively. Candida of 3 species exhibited decreased susceptibility to fluconazole (<90% S) in the order of that seen with the resistant (R) species: C. krusei, C. guilliermondii, and C. glabrata. Emerging resistance to fluconazole or voriconazole was documented among isolates of Cryptococcus neoformans, Trichosporon spp., and Rhodotorula spp. CONCLUSIONS: The species distribution and antifungal susceptibilities of yeasts may differ according to specimen type, testing method, hospital, and geographic region. Therefore, further large-scaled, long-term surveillance studies are needed to isolate yeasts and to confirm the species distribution and antifungal susceptibilities of yeast isolates from clinical specimens in Korea.</P>
Lee, Hana,Lee, Wonjoo,Seo, Kyungwon,Lee, Doh-Kwon,Kim, Honggon Korea Photovoltaic Society 2013 Current Photovoltaic Research Vol.1 No.1
For preparing a device-quality $CuInSe_2$ (CISe) light-absorbing layer by single-bath electrodeposition for a superstrate-type CISe cell, morphological properties of the CISe layers were investigated by varying concentrations of sulfamic acid and potassium biphthalate, complexing/buffering agents. CISe films were grown on an $In_2Se_3$ film by applying a constant voltage of -0.5V versus Ag/AgCl for 90 min in a solution with precursors of $CuCl_2$, $InCl_3$, and $SeO_2$, and a KCl electrolyte. A dense and smooth layer of CISe could be obtained with a solution containing both sulfamic acid and potassium biphthalate in a narrow concentration range of combination. A CISe layer prepared on the $In_2Se_3$ film with proper concentrations of complexing/buffering agents exhibited thickness of $1.6{\sim}1.8{\mu}m$ with few undesirable secondary phases. On the other hand, when the bath solution did not contain either sulfamic acid or potassium biphthalate, a CISe film appeared to contain undesirable flake-shape $Cu_{2-x}Se$ phases or sparse pores in the upper part of film.
Management of Thoracic Aortic Injury after Blunt Trauma: Nine Cases at a Single Medical Center
( Kyungwon Lee ),( Jae Gil Lee ) 대한외상학회 2016 大韓外傷學會誌 Vol.29 No.4
Purpose: Traumatic aortic injuries are rare, but life threatening condition. They usually occur after high velocity impact on the chest or abdomen such as traffic accident or fall. We report the experiences of the traumatic aortic injuries at a single center. Methods: We retrospectively reviewed the medical records of nine patients with aortic injury resulting from the blunt trauma from Jan. 2010 to May. 2016. Results: The mean age was 51.1±20.8 years old, and ten (90.9%) were men. The mechanisms of injury were traffic accidents in seven patients (motorcycle accidents; 3, car accidents; 4), and four in fall injury. Most common injured sites were thoracic aorta (9, 81.8%). Aortic injuries were repaired by endovascular approach in four patients, and by open graft surgery in four. Two patients were managed conservatively. Nine patients survived without any complications. Conclusion: We had experienced different approaches for management of aortic injuries after blunt trauma according to locations and severity of lesions. [ J Trauma Inj 2016; 29: 146-150 ]
Kyungwon Kim,Hyun Ju Lim,Je-Min Park,Byung-Dae Lee,Young-Min Lee,Hwagyu Suh,Eunsoo Moon 대한신경정신의학회 2024 PSYCHIATRY INVESTIGATION Vol.21 No.8
Objective Bipolar and depressive disorders are distinct disorders with clearly different clinical courses, however, distinguishing between them often presents clinical challenges. This study investigates the utility of self-report questionnaires, the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS), with machine learning-based multivariate analysis, to classify patients with bipo-lar and depressive disorders. Methods A total of 189 patients with bipolar disorders and depressive disorders were included in the study, and all participants complet-ed both the MDQ and BSDS questionnaires. Machine-learning classifiers, including support vector machine (SVM) and linear discrimi-nant analysis (LDA), were exploited for multivariate analysis. Classification performance was assessed through cross-validation. Results Both MDQ and BSDS demonstrated significant differences in each item and total scores between the two groups. Machine learning-based multivariate analysis, including SVM, achieved excellent discrimination levels with area under the ROC curve (AUC) values exceeding 0.8 for each questionnaire individually. In particular, the combination of MDQ and BSDS further improved classifica-tion performance, yielding an AUC of 0.8762. Conclusion This study suggests the application of machine learning to MDQ and BSDS can assist in distinguishing between bipolar and depressive disorders. The potential of combining high-dimensional psychiatric data with machine learning-based multivariate analysis as an effective approach to psychiatric disorders.