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<i>Ab initio</i> study of H, B, C, N, O, and self-interstitial atoms in hcp-Zr
You, Daegun,Ganorkar, Shraddha,Joo, Minsoo,Park, Donghyun,Kim, Sooran,Kang, Keonwook,Lee, Dongwoo ELSEVIER SCIENCE 2019 JOURNAL OF ALLOYS AND COMPOUNDS Vol.787 No.-
<P><B>Abstract</B></P> <P>In this work, we investigate the stabilities of H, B, C, N, O, and Zr atoms at various interstitial sites in hcp-Zr using a first-principles theoretical approach. The formation energy of each interstitial atom at each site in the hcp crystal was determined, and the difference in the energy at different sites were considered as a static energy barrier to predict energetically favored diffusion pathways. Linear and non-linear prediction models for the interstitial formation energy were developed using readily accessible chemical and structural input parameters. We show that a simple linear model predicts the formation energies of the interstitial atoms with an R<SUP>2</SUP> of 97%.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Formation energies (E<SUB>f</SUB>) of H, B, C, N, O and Zr impurity atoms at various interstitial sites of hcp-Zr were determined. </LI> <LI> The most preferable diffusion path for each atom was predicted by considering the difference of E<SUB>f</SUB> at different sites. </LI> <LI> Simple linear and non-linear prediction models for E<SUB>f</SUB> were proposed. </LI> <LI> A linear model with four readily accessible input parameters predicts E<SUB>f</SUB> with R<SUP>2</SUP> of 97%. </LI> <LI> The key input parameters for E<SUB>f</SUB>: electronegativity, valence electrons, the interatomic distance, interstitial symmetricity. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Kang, Donghyun,Shin, Jungkwon,Cho, Yongsik,Kim, Hyeon-Seop,Gu, Young-Ran,Kim, Haedong,You, Kwon Tae,Chang, Moon Jong,Chang, Chong Bum,Kang, Seung-Baik,Kim, Jong-Seo,Kim, V. Narry,Kim, Jin-Hong American Association for the Advancement of Scienc 2019 Science translational medicine Vol.11 No.486
<P>A progressive loss of cartilage matrix leads to the development of osteoarthritis (OA). Matrix homeostasis is disturbed in OA cartilage as the result of reduced production of cartilage-specific matrix and increased secretion of catabolic mediators by chondrocytes. Chondrocyte senescence is a crucial cellular event contributing to such imbalance in matrix metabolism during OA development. Here, we identify miR-204 as a markedly up-regulated microRNA in OA cartilage. miR-204 is induced by transcription factors GATA4 and NF-κB in response to senescence signals. Up-regulated miR-204 simultaneously targets multiple components of the sulfated proteoglycan (PG) biosynthesis pathway, effectively shutting down PG anabolism. Ectopic expression of miR-204 in joints triggers spontaneous cartilage loss and OA development, whereas miR-204 inhibition ameliorates experimental OA, with concomitant recovery of PG synthesis and suppression of inflammatory senescence-associated secretory phenotype (SASP) factors in cartilage. Collectively, we unravel a stress-activated senescence pathway that underlies disrupted matrix homeostasis in OA cartilage.</P>
시공간 종속성을 고려한 빈집발생 요인 추정에 관한 연구
김유현 ( You-hyun Kim ),김동현 ( Donghyun Kim ) 한국지리정보학회 2023 한국지리정보학회지 Vol.26 No.2
최근 저출산·고령화에 따른 도시축소 현상과 지방도시의 쇠퇴는 빈집이라는 새로운 도시문제를 낳고 있다. 본 연구는 전국 시·군·구를 대상으로 2015년부터 2019년까지 수집한 공간 패널 데이터를 이용하여 빈집 분포를 살펴보고 시공간적 종속성을 고려한 공간패널모형을 이용하여 빈집발생의 요인을 추정하는 것이 목적이다. 분석 결과 빈집은 시공간적으로 종속성이 있었으며, OLS 모형에 비해 시공간적 종속성을 고려하여 빈집 발생 요인을 추정하는 것이 타당함을 확인하였다. 동적공간패널모형을 이용하여 분석한 결과 빈집발생의 가장 큰 영향요인은 주택관련요인인 것으로 나타났다. 이 결과는 빈집 발생의 관리를 위해서는 인구이동, 양호하지 못한 인프라 등 뿐만 아니라 주택 공급량에 대한 정책적 고려가 필요함을 시사한다. Recently, urban shrinkage due to low birth rate and aging population and the decline of local cities are causing a new urban problem of empty houses. This study examines the distribution of vacant homes using spatial panel data collected from 2015 to 2019 at local administraitve districts and estimates the factors of vacant house occurrence using a spatial panel model considering spatio-temporal dependency. As a result, the spatio-temporal dependence of vacant houses was identified and it was estimated using spatial panel model not OLS model. Based on the spatial panel model, it was found that the most influential factor in the occurrence of vacant houses was the housing-related factor. This result shows that policy considerations for housing supply are necessary for the management of vacant housing as well as population movement and poor infrastructure.
Lee, Donghyun,Lee, Chunwoo,Kwon, Taekmin,You, Dalsan,Jeong, In Gab,Hong, Jun Hyuk,Ahn, Hanjong,Kim, Choung-Soo 대한비뇨기과학회 2015 Investigative and Clinical Urology Vol.56 No.8
<P><B>Purpose</B></P><P>To evaluate the clinical features and biochemical recurrence (BCR) in prostate cancer (PCa) with high-grade prostatic intraepithelial neoplasia (HGPIN).</P><P><B>Materials and Methods</B></P><P>We retrospectively analyzed the medical records of 893 patients who underwent a radical prostatectomy for PCa between 2011 and 2012 at Asan Medical Center; 752 of these patients who did not receive neoadjuvant or adjuvant therapy and were followed up for more than 1 year were included. The cohort was divided into two groups-patients with and without HGPIN-and their characteristics were compared. The Cox proportional hazards model was used to analyze factors affecting BCR.</P><P><B>Results</B></P><P>In total, 652 study patients (86.7%) had HGPIN. There were no significant differences in preoperative factors between the two groups, including age (p=0.369) and preoperative prostate-specific antigen concentration (p=0.234). Patients with HGPIN had a higher Gleason score (p=0.012), more frequent multiple tumor (p=0.013), and more perineural invasion (p=0.012), but no other postoperative pathologic characteristics were significantly different between the two groups. There were no significant differences in BCR (13.0% vs. 11.5%, p=0.665) and HGPIN was not associated with BCR (p=0.745). In multivariate analysis, only the T stage (p<0.001) was associated with BCR.</P><P><B>Conclusions</B></P><P>PCa patients with HGPIN have a higher Gleason score, more frequent multiple tumors, and more perineural invasion than those without HGPIN. The presence of HGPIN is not an independent predictor of BCR.</P>