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RISS 인기검색어
- 검색키워드
- 저자 : ( Jisu Hong ) (검색결과 128 건)
- 무료
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Side chain engineering in DTBDT-based small molecules for efficient organic photovoltaics
Hong, Jisu,Choi, Ji Young,Kim, Kyunghun,Lee, Nam-Suk,Li, Jiqiang,Park, Chan Eon,An, Tae Kyu,Kim, Yun-Hi,Kwon, Soon-Ki Royal Society of Chemistry 2019 Nanoscale Vol.11 No.29
<P>A new small-molecule donor with a dithieno[2,3-<I>d</I>:2′,3′-<I>d</I>′]-benzo[1,2-<I>b</I>:4,5-<I>b</I>′]-dithiophene (DTBDT) core and both alkyl and alkylthio substituents is designed and synthesized to improve the miscibility between DTBDT-based small molecules and [6,6]-phenyl-C71-butyric acid methyl ester (PC71BM). The alkyl substituent on the 4-position and the alkylthio substituent on the 5-position of the substituted thiophene are expected to improve intermolecular interactions and prevent severe aggregation of the small molecules. The new small molecule, DTBDT-S-C8-TTR, exhibits a homogenous blend morphology with small domains and edge-on-oriented crystalline structures in blends with PC71BM, and give a maximum power conversion efficiency (PCE) of 8.43%. To recover the crystallinity of the DTBDT-S-C8-TTR small molecules weakened after being blended with PC71BM, a solvent vapor annealing (SVA) treatment is performed. The SVA-treated blend films reveal well-developed crystalline domains with interconnected fibrillar structures. This blend morphology allows efficient charge carrier transport in blends and leads to increased PCEs. The maximum PCE of 9.18% achieved using DTBDT-S-C8-TTR suggests that substituting both alkylthio and alkyl groups into DTBDT can yield small-molecule-based organic photovoltaics (OPVs) displaying improved photovoltaic performances.</P>
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Establishment of Particulate Matter Induced Acute Lung Inflammation Model in Mice
( Jisu Hong ),( Ki Sung Song ),( Hye-sun Shin ),( Jong-sang Youn ),( Ki-joon Jeon ),( Susie Chin ),( Sung Woo Park ),( Sung Hwan Jeong ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Background Particulate matter (PM) is one of the main causes of the development and progression of lung diseases. Animal experiments have been attempted to investigate the effect of PM on human lung diseases. However, various Methods of PM delivery into lungs as shown in published reports cannot reflect the actual exposure of PM in humans. In this study, we want to establish mouse model of PM exposure using a whole-body inhalation system that is similar to humans exposed to PM. Then, we evaluated the damage of lung following inhalation of various doses of PM. Methods Low grade (50), middle (150), and high grade (300 μg/m3) concentrations of road dust were inhaled to C57 BL/6J mice for 8h/ day during 7 days. At D8, the mice were sacrificed then bronchoalveolar lavage (BAL)Fluids and lung tissues were prepared for analyzing cell & diff count, H & E stain, and cytokine assay. Results Total cell count and macrophage in BAL fluid were significantly increased at 150 and 300 μg/m3 treated group than controls. The percentage of foamy macrophage was significantly increased by treatment of road dust in a dose-dependent manner. Histologic findings from 300 mg/m3 group mice revealed dust contained alveolar macrophages, peribranchial dust deposition with subtle fibrosis, and bronchial epithelial regenerative hyperplasia. The levels of TNF-α in BAL fluids were increased by treatment of road dust. Conclusions We established a PM-induced lung inflammation model that is close to human exposure. Further studies including longer exposure duration will be needed to establish a chronic lung injury model. We suggest that our exposure system is suitable to apply to lung fibrosis, asthma, and emphysema model for studying the effect of PM in the diseases. This research was funded by Korea Environmental Industry & Technology Institute.
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Hong, Jisu,Sung, Min Jae,Cha, Hyojung,Park, Chan Eon,Durrant, James R.,An, Tae Kyu,Kim, Yun-Hi,Kwon, Soon-Ki American Chemical Society 2018 ACS APPLIED MATERIALS & INTERFACES Vol.10 No.42
<P>To investigate the influence of donor molecule crystallinity on photovoltaic performance in all-small-molecule solar cells, two dithieno[2,3-<I>d</I>:2′,3′-<I>d</I>′]-benzo[1,2-<I>b</I>:4,5-<I>b</I>′]dithiophene (DTBDT)-based small molecules, denoted as DTBDT-Rho and DTBDT-S-Rho and incorporating different side chains, are synthesized and characterized. The photovoltaic properties of solar cells made of these DTBDT-based donor molecules are systemically studied with the [6,6]-phenyl-C<SUB>71</SUB>-butyric acid methyl ester (PC<SUB>71</SUB>BM) fullerene acceptor and the O-IDTBR nonfullerene acceptor to study the aggregation behavior and crystallinity of the donor molecules in both blends. Morphological analyses and a charge carrier dynamics study are carried out simultaneously to derive structure-property relationships and address the requirements of all-small-molecule solar cells. This study reveals exciton decay loss driven by large-scale phase separation of the DTBDT molecules to be a crucial factor limiting photocurrent generation in the all-small-molecule solar cells incorporating O-IDTBR. In the all-small-molecule blends, DTBDT domains with dimensions greater than 100 nm limit the exciton migration to the donor-acceptor interface, whereas blends with PC<SUB>71</SUB>BM exhibit homogeneous phase separation with smaller domains than in the O-IDTBR blends. The significant energy losses in nonfullerene-based devices lead to decreased <I>J</I><SUB>sc</SUB> and fill factor values and unusual decrease in <I>V</I><SUB>oc</SUB> values. These results indicate the modulation of phase separation to be important for improving the photovoltaic performances of all-small-molecule blends. In addition, the enhanced molecular aggregation of DTBDT-S-Rho with the alkylthio side chain leads to higher degrees of phase separation and unfavorable charge transfer, which are mainly responsible for the relatively low photocurrent when using DTBDT-S-Rho compared with that when using DTBDT-Rho. On the other hand, this enhanced molecular aggregation improves the crystallinity of DTBDT-S-Rho and results in its increased hole mobility.</P> [FIG OMISSION]</BR>
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A case report of uterine rupture after repeated conservative treatment for adenomyosis
( Jisu Hong ),( Jae Young Kwack ),( Yong-soon Kwon ) 대한산부인과학회 2020 대한산부인과학회 학술대회 Vol.106 No.-
A 34-year-old nulliparous woman with abdominal discomfort at 27 weeks of gestation visited our clinic. She had a history of complex treatments for symptom relief and fertility for uterine adenomyosis, which included repeat adenomyomectomies and high-intensity focused ultrasound (HIFU). Three months after her last adenomyomectomy, she conceived by in vitro fertilization. During antenatal care at our clinic at 27 weeks of gestation, the results of an examination for abdominal discomfort with focal tenderness on the lower abdomen was suspicious for uterine rupture and fetal distress. An emergency cesarean delivery was performed. The mothers uterus was repaired without significant postoperative complications and the neonate was admitted to the intensive care unit for prematurity care and presently is well. A follow-up for retinopathy of prematurity (ROP) is planned. During antenatal care of a pregnant woman, heightened awareness of catastrophic pregnancy-related complications should be maintained to obtain the best maternal and fetal outcomes.
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Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs
Hong, Jisu,Park, Bo-yong,Lee, Mi Ji,Chung, Chin-Sang,Cha, Jihoon,Park, Hyunjin Elsevier 2020 Computer methods and programs in biomedicine Vol.183 No.-
<P><B>Abstract</B></P> <P><B>Background and Objective</B></P> <P>Patients with migraine show an increased presence of white matter hyperintensities (WMHs), especially deep WMHs. Segmentation of small, deep WMHs is a critical issue in managing migraine care. Here, we aim to develop a novel approach to segmenting deep WMHs using deep neural networks based on the U-Net.</P> <P><B>Methods</B></P> <P>148 non-elderly subjects with migraine were recruited for this study. Our model consists of two networks: the first identifies potential deep WMH candidates, and the second reduces the false positives within the candidates. The first network for initial segmentation includes four down-sampling layers and four up-sampling layers to sort the candidates. The second network for false positive reduction uses a smaller field-of-view and depth than the first network to increase utilization of local information.</P> <P><B>Results</B></P> <P>Our proposed model segments deep WMHs with a high true positive rate of 0.88, a low false discovery rate of 0.13, and F<SUB>1</SUB> score of 0.88 tested with ten-fold cross-validation. Our model was automatic and performed better than existing models based on conventional machine learning.</P> <P><B>Conclusion</B></P> <P>We developed a novel segmentation framework tailored for deep WMHs using U-Net. Our algorithm is open-access to promote future research in quantifying deep WMHs and might contribute to the effective management of WMHs in migraineurs.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Deep learning approach for segmenting deep white matter hyperintensity is proposed. </LI> <LI> Two-step approach uses initial segmentation and false positive reduction networks. </LI> <LI> Our approach segmented white matter hyperintensities with good performance. </LI> </UL> </P>
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Hong, Jisu,Park, Bo-yong,Cho, Hwan-ho,Park, Hyunjin Medknow PublicationsMedia Pvt Ltd 2017 Neural regeneration research Vol.12 No.10
<P>Attention deficit and hyperactivity disorder (ADHD) is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children, adolescents, and adults. These ADHD related symptoms are influenced by the complex interaction of brain networks which were under explored. We explored age-related brain network differences between ADHD patients and typically developing (TD) subjects using resting state fMRI (rs-fMRI) for three age groups of children, adolescents, and adults. We collected rs-fMRI data from 184 individuals (27 ADHD children and 31 TD children; 32 ADHD adolescents and 32 TD adolescents; and 31 ADHD adults and 31 TD adults). The Brainnetome Atlas was used to define nodes in the network analysis. We compared three age groups of ADHD and TD subjects to identify the distinct regions that could explain age-related brain network differences based on degree centrality, a well-known measure of nodal centrality. The left middle temporal gyrus showed significant interaction effects between disease status (<I>i.e</I>., ADHD or TD) and age (<I>i.e</I>., child, adolescent, or adult) (<I>P</I> < 0.001). Additional regions were identified at a relaxed threshold (<I>P</I> < 0.05). Many of the identified regions (the left inferior frontal gyrus, the left middle temporal gyrus, and the left insular gyrus) were related to cognitive function. The results of our study suggest that aberrant development in cognitive brain regions might be associated with age-related brain network changes in ADHD patients. These findings contribute to better understand how brain function influences the symptoms of ADHD.</P>
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Hong, Jisu,Ha, Yeon Hee,Cha, Hyojung,Kim, Ran,Kim, Yu Jin,Park, Chan Eon,Durrant, James R.,Kwon, Soon-Ki,An, Tae Kyu,Kim, Yun-Hi American Chemical Society 2017 ACS APPLIED MATERIALS & INTERFACES Vol.9 No.51
<P>A series of naphthalene diimide (NDI)-based small molecules were synthesized as nonfullerene acceptors and incorporated in all-small-molecule solar cells. Three NDI-based small molecules, NDICN-T, NDICN-BT, and NDICN-TVT, were designed with different linkers between two NDI units to induce the different conjugation length and modulate the geometric structures of the NDI dimers. The small NDI-based dimer electron acceptors with slip-stacked structures that facilitate pi-pi stacking interactions and/or hinder excessive aggregation exhibited different morphological behaviors, such as miscibility or crystallinity in bulk heterojunction blends with 7,7'-(4,4-bis(2-ethylhexyl)-4H-silolo[3,2-b:4,5-bldithiophene-2,6-diyl)bis(6-fluoro-4-(5'-hexyl-[2,2'-bi-thiophen]-5-y1)benzo[c][1,2,5]thiadiazole) (DTS-F) electron donors. The photovoltaic devices prepared with NDICN-TVT gave the highest power conversion efficiency (PCE) of 3.01%, with an open-circuit voltage (V-oc) of 0.75 V, a short-circuit current density (J(sc)) of 7.10 mA cm(-2), and a fill factor of 56.2%, whereas the DTS-F:NDICN-T and DTS-F:NDICN-BT devices provided PCEs of 1.81 and 0.13%, respectively. Studies of the charge-generation properties, charge-transfer dynamics, and charge-transport properties for understanding the structure-property relations revealed that DTS-F:NDICN-TVT blend films with well developed domains and well-ordered crystalline structures performed well, whereas an excessive miscibility between DTS-F and NDICN-BT disrupted the crystallinity of the material and yielded a poor device performance.</P>
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SOX18 as a potential biomarker in asthma
( Jisu Hong ),( An-soo Jang ),( Pureun-haneul Lee ),( Yun-ki Lee ),( June-hyuck Lee ),( Sung-woo Park ) 대한결핵 및 호흡기학회 2019 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.127 No.-
Background: Asthma characterized by airway hyperresponsiveness, increased inflammatory cells, and fibrosis and angiogenesis. SRY-related HMG-box 18 (SOX18) is an important transcription factor involved in the development of cardiovascular and lymphatic vessels during embryonic development and wound-healing processes. SOX18 remains to be clarified in asthma. Objective: In this study we aimed to elucidate the role of SOX18 in the pathogenesis of bronchial asthma. Methods: Using an established mouse model of ovalbumin (OVA)-induced chronic allergic asthma, we investigated whether SOX18 is involved in pathogenesis of asthma. Airway hyperresponsiveness (AHR) was measured and bronchoalveolar lavage fluid was collected, lung tissue was processed for protein and RNA, and hematoxylin and eosin stain. Collagen was measured by trichrome stain and sircol assay. SOX18 level checked in lung human microvascular endothelial cells (HMVEC-L) and normal human bronchial epithelial (NHBE) cells treated with house dust mite (HDM). Moreover, we observed SOX18 levels in blood from asthmatic patients between stable and exacerbated state. Results: The chronic asthma mice showed that SOX18, PROX1, COUP-TFII, mucous gland hyperplasia and collagen deposition in lung tissue were significantly increased after OVA challenge. SOX18 protein in HMVEC-L and NHBE cells was increased following HDM treatment. PROX1 and COUP-TFII protein in HMVEC-L were decreased and increased in NHBE cells following HDM treatment. SOX18 in blood from exacerbated asthmatics was increased compared with those from stable asthmatics. Conclusion: These results suggesting that SOX18 may be associated with asthma exacerbation and can be a biomarker for asthma.
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