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SARS-CoV-2 aberrantly elevates mitochondrial bioenergetics to induce robust virus propagation

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Signal Transduction and Targeted Therapy 2024年第6期9卷 2702-2715页

作者： Hye Jin Shin Wooseong Lee Keun Bon Ku Gun Young Yoon Hyun-Woo Moon Chonsaeng kim Mi-Hwa kim Yoon-Sun Yi Sangmi jun Bum-Tae kim Jong-won Oh Aleem Siddiqui Seong-jun kim Department of Convergent Research of Emerging Virus Infection Korea Research Institute of Chemical TechnologyDaejeon 34114Republic of Korea Gyeongnam Biohealth Research Center Gyeongnam Branch InstituteKorea Institute of ToxicologyJinju 52834Republic of Korea Center for Research Equipment Korea Basic Science InstituteCheongjuChungcheongbuk-do 28119Republic of Korea Department of Biotechnology Yonsei UniversitySeoul 03722Republic of Korea Division of Infectious Diseases School of MedicineUniversity of CaliforniaSan DiegoLa JollaCA 92093USA Present address:Department of Microbiology Chungnam National University School of MedicineDaejeon 35015Republic of Korea

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is a‘highly transmissible respiratory pathogen,leading to severe multiorgan ***,knowledge regarding SARS-CoV-2-induced cellular alterations is *** this study,we report that SARSCoV-2 aberrantly elevates mitochondrial bioenergetics and activates the EGFR-mediated cell survival signal cascade during the early stage of viral ***-CoV-2 causes an increase in mitochondrial transmembrane potential via the SARS-CoV-2 RNAnucleocapsid cluster,thereby abnormally promoting mitochondrial elongation and the OXPHOS process,followed by enhancing ATP ***,SARS-CoV-2 activates the EGFR signal cascade and subsequently induces mitochondrial EGFR trafficking,contributing to abnormal OXPHOS process and viral *** EGFR inhibitors remarkably reduce SARS-CoV-2 propagation,among which vandetanib exhibits the highest antiviral *** of SARS-CoV-2-infected cells with vandetanib decreases SARS-CoV-2-induced EGFR trafficking to the mitochondria and restores SARS-CoV-2-induced aberrant elevation in OXPHOS process and ATP generation,thereby resulting in the reduction of SARS-CoV-2 ***,oral administration of vandetanib to SARS-CoV-2-infected hACE2 transgenic mice reduces SARS-CoV-2 propagation in lung tissue and mitigates SARS-CoV-2-induced lung *** also exhibits potent antiviral activity against various SARS-CoV-2 variants of concern,including alpha,beta,delta and omicron,in in vitro cell culture *** together,our findings provide novel insight into SARS-CoV-2-induced alterations in mitochondrial dynamics and EGFR trafficking during the early stage of viral infection and their roles in robust SARS-CoV-2 propagation,suggesting that EGFR is an attractive host target for combating COVID-19.

关键词： alterations aberrant thereby

Disordered Structure and Reversible Phase Transformation from K-Birnessite to Zn-Buserite Enable High-Performance Aqueous Zinc-Ion Batteries

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Energy & Environmental Materials 2024年第3期7卷 104-115页

作者： Nibagani Naresh Suyoon Eom Sang jun Lee Su Hwan Jeong Ji-won jung Young Hwa jung Joo-Hyung kim Department of Materials Engineering and Convergence Technology Gyeongsang National University(GNU) School of Material Science and Engineering (Ceramic Engineering) Gyeongsang National University (GNU)Jinju 52828South Korea School of Materials Science and Engineering University of Ulsan (UOU) PLS-Ⅱ Beamline Division Pohang Accelerator Laboratory(PAL)

The layered δ-MnO2（dMO） is an excellent cathode material for rechargeable aqueous zinc-ion batteries owing to its large interlayer distance （～0.7 nm）,high capacity,and low cost; however,such cathodes suffer from structural degradation during the long-term cycling process,leading to capacity *** this study,a Co-doped dMO composite with reduced graphene oxide（CC-dMO） is developed using a simple cost-effective hydrothermal *** degree of disorderness increases owing to the hetero-atom doping and graphene oxide *** is demonstrated that layered dMO and CC-dMO undergo a structural transition from K-birnessite to the Zn-buserite phase upon the first discharge,which enhances the intercalation of Zn2+ions,H2O molecules in the layered *** CC-dMO cathode exhibits an excellent capacity of 302mAhg-1at a current density of 100mAg-1after100 cycles as compared with the dMO cathode (159mAhg-1).The excellent electrochemical performance of the CC-dMO cathode owing to Co-doping and graphene oxide sheets enhances the interlayer gap and disorderness,and maintains structural stability,which facilitates the easy reverse intercalation and de-intercalation of Zn2+ions and H2O ***,CC-dMO is a promising cathode material for large-scale aqueous ZIBs.

关键词： aqueous zinc-ion batteries birnessite buserite disordered structure phase transformation

Machine Learning-Assisted Fabrication of PCBM-Perovskite Solar Cells with Nanopatterned TiO2 Layer

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Energy & Environmental Materials 2024年第4期7卷 223-230页

作者： Siti Norhasanah Sanimu Hwa-Young Yang Jeevan Kandel Ye-Chong Moon Gangasagar Sharma Gaudel Seung-Ju Yu Yong Ju kim Sejung kim Bong-Hyun jun won-Yeop Rho Graduate School of Integrated Energy-AI Jeonbuk National University School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology (UNIST) Department of Herbal Medicine Resources College of Environmental and Bioresource Sciences Jeonbuk National University School of Chemical Engineering Jeonbuk National University Department of Bioscience and Biotechnology Konkuk University School of International Engineering and Science Jeonbuk National University

To unlock the full potential of PSCs,machine learning （ML） was implemented in this research to predict the optimal combination of mesoporous-titanium dioxide （mp-TiO2） and weight percentage （wt%） of phenyl-C61-butyric acid methyl ester （PCBM）,along with the current density(Jsc),open-circuit voltage (Voc),fill factor （ff）,and energy conversion efficiency （ECE）.

关键词： machine learning nanopatterning PCBM perovskite solar cells prediction

Predictors of post-treatment stenosis in cervical esophageal cancer undergoing high-dose radiotherapy

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World Journal of Gastroenterology 2018年第7期24卷 862-869页

作者： jun won kim Tae Hyung kim Jie-Hyun kim Ik Jae Lee Department of Radiation Oncology Gangnam Severance Hospital Yonsei University College of Medicine Department of Internal Medicine Gangnam Severance Hospital Yonsei University College of Medicine

AIM To evaluate toxicity and treatment outcome of highdose radiotherapy(RT) for cervical esophageal cancer(CEC).METHODS We reviewed a total of 62 consecutive patients who received definitive RT for stage Ⅰ to Ⅲ cervical esophageal cancer between 2001 and 2015. Patients who received < 45 Gy, treated for lesions below sternal notch, treated with palliative aim, treated with subsequent surgical resection, or diagnosed with synchronous hypopharyngeal cancer were excluded. Treatment failures were divided into local(occurring within the RT field), outfield-esophageal, and regional [occurring in regional lymph node(s)] failures. Factors predictive of esophageal stenosis requiring endoscopic dilation were *** Grade 1, 2, and 3 esophagitis occurred in 19(30.6%), 39(62.9%), and 4 patients(6.5%), respectively, without grade ≥ 4 toxicities. Sixteen patients(25.8%) developed post-RT stenosis, of which 7 cases(43.8%) were malignant. Four patients(6.5%) developed tracheoesophageal fistula(TEF), of which 3(75%) cases were malignant. Factors significantly correlated with post-RT stenosis were stage T3/4(P = 0.001), complete circumference involvement(P < 0.0001), stenosis at diagnosis(P = 0.024), and endoscopic complete response(P = 0.017) in univariate analysis, while complete circumference involvement was significant in multivariate analysis(P = 0.003). A higher dose(≥ 60 Gy) was not associated with occurrence of postRT stenosis or TEF. With a median follow-up of 24.3(range, 3.4-152) mo, the 2 y local control, outfield esophageal control, progression-free survival, and overall survival(OS) rates were 78.9%, 90.2%, 49.6%, and 57.3%, respectively. Factors significantly correlated with OS were complete circumference involvement(P = 0.023), stenosis at diagnosis(P < 0.0001), and occurrence of post-RT stenosis or TEF(P < 0.001) in univariate analysis, while stenosis at diagnosis(P = 0.004) and occurrence of post-RT stenosis or TEF(P = 0.023) were significant in multivariate

关键词： Chemoradiotherapy Post-radiotherapy stenosis High-dose radiotherapy Cervical esophageal cancer

Data driven computational design of stable oxygen evolution catalysts by DFT and machine learning:Promising electrocatalysts

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Journal of Energy Chemistry 2024年第4期91卷 645-655页

作者： Hwanyeol Park Yunseok kim Seulwon Choi Ho jun kim Department of Display Materials Engineering Soonchunhyang UniversityAsanChung-nam 31538Republic of Korea Department of Electronic Materials Devicesand Equipment EngineeringSoonchunhyang Uni-versityAsanChungnam 31538Republic of Korea Department of Mechanical Engineering Hanyang University ERICA Campus55 Hanyangdaehak-roSangnok-guAnsanGyeonggi-do 15588Republic of Korea

The revolutionary development of machine learning(ML),data science,and analytics,coupled with its application in material science,stands as a significant milestone of the scientific community over the last *** active,stable,and cost-efficient catalysts is crucial for oxygen evolution reaction owing to the significance in a range of electrochemical energy co nversion *** this work,we have demonstrated an efficient approach of high-throughput screening to find stable transition metal oxides under acid condition for high-performance oxygen evolution reaction(OER)catalysts through density functional theory(DFT)calculation and a machine learning algorithm.A methodology utilizing both the Materials Project database and DFT calculations was introduced to assess the acid stability under specific reaction *** upon this,OER catalytic activity of acid-stable materials was examined,highlighting potential OER catalysts that meet the required *** identified IrO_(2),Fe(SbO_(3))_(2),Co(SbO_(3))_(2),Ni(SbO_(3))_(2),FeSbO_(4),Fe(SbO_(3))4,MoWO_(6),TiSnO_(4),CoSbO_(4),and Ti(WO_(4))_(2)as promising catalysts,several of which have already been experimentally discovered for their robust OER performance,while others are novel for experimental exploration,thereby broadening the chemical scope for efficient OER *** of the bond length of TM-O and the first ionization energy were used to unveil the OER activity *** the calculated results,guidance has been derived to effectively execute advanced high-throughput screenings for the discovery of catalysts with favorable ***,the intrinsic correlation between catalytic performance and various atomic and structural factors was elucidated using the ML *** these approaches,we not only streamline the choice of the promising electrocatalysts but also offer insights for the design of varied catalyst models and the discovery of superior c

关键词： Transition metal oxides Oxygen evolution reaction High-throughput screening First-principles calculation Machine learning

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Image enhancement with intensity transformation on embedding space

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 101-115页

作者： Hanul kim Yeji Jeon Yeong jun Koh Department of Applied Artificial Intelligence Seoul National University of Science and TechnologySeoulSouth Korea Department of Computer Science and Engineering Chungnam National UniversityDaejeonSouth Korea

In recent times,an image enhancement approach,which learns the global transformation function using deep neural networks,has gained ***,many existing methods based on this approach have a limitation:their transformation functions are too simple to imitate complex colour transformations between low-quality images and manually retouched high-quality *** order to address this limitation,a simple yet effective approach for image enhancement is *** proposed algorithm based on the channel-wise intensity transformation is ***,this transformation is applied to the learnt embedding space instead of specific colour spaces and then return enhanced features to *** this end,the authors define the continuous intensity transformation(CIT)to describe the mapping between input and output intensities on the embedding ***,the enhancement network is developed,which produces multi-scale feature maps from input images,derives the set of transformation functions,and performs the CIT to obtain enhanced *** experiments on the MIT-Adobe 5K dataset demonstrate that the authors’approach improves the performance of conventional intensity transforms on colour space ***,the authors achieved a 3.8%improvement in peak signal-to-noise ratio,a 1.8%improvement in structual similarity index measure,and a 27.5%improvement in learned perceptual image patch ***,the authors’algorithm outperforms state-of-the-art alternatives on three image enhancement datasets:MIT-Adobe 5K,Low-Light,and Google HDRþ.

关键词： computer vision deep learning image enhancement image processing

MXene-based hybrid materials for electrochemical and photoelectrochemical H_(2) generation

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Journal of Energy Chemistry 2024年第6期93卷 111-125,I0004页

作者： jun Young kim Seung Hun Roh Chengkai Xia Uk Sim jung Kyu kim School of Material Science and Engineering North University of ChinaTaiyuan 030051China School of Chemical Engineering Sungkyunkwan University(SKKU)2066Seobu-roJangan-guSuwon 16419Republic of Korea Hydrogen Energy Technology Laboratory Korea Institute of Energy Technology(KENTECH)NajuJeollanamdo 58330Republic of Korea SKKU Advanced Institute of Nano Technology(SAINT) Sungkyunkwan University(SKKU)2066Seobu-roJangan-guSuwon 16419Republic of Korea

The conversion of solar energy to produce clean hydrogen fuel through water splitting is an emerging strategy for efficiently storing solar energy in the form of solar *** aligns with the increasing global demand for the development of an ideal energy alternative to fossil fuels that does not emit greenhouse ***(EC) and photoelectrochemical(PEC) water splitting technologies have garnered significant attention worldwide for advanced hydrogen solar fuel production in recent *** achieve sustainable green H_(2) production,it is essential to create efficient catalyst materials that are low-cost and can replace expensive noble metal-based *** characteristics make them an ideal catalyst material for the ***-dimensional MXenes with M_(n+1)X_(n) structure have been identified as a promising option for EC and PEC water splitting due to their superior hydrophilicity,metal-like conductivity,large surface area,and adjustable surface ***,we present a summary of recent advancements in the synthesis and performance enhancement methods for MXene hybrid materials in hydrogen production through EC and PEC water ***,we examine the challenges and insights associated with the rational design of MXene-based hybrid materials to facilitate efficient water splitting for sustainable solar fuel production.

关键词： MXene Hybrid materials EC PEC HER OER Water splitting

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Highly Elastic,Bioresorbable Polymeric Materials for Stretchable,Transient Electronic Systems

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Nano-Micro Letters 2024年第6期16卷 1-13页

作者： Jeong‑Woong Shin Dong‑Je kim Tae‑Min Jang won Bae Han Joong Hoon Lee Gwan‑Jin Ko Seung Min Yang Kaveti Rajaram Sungkeun Han Heeseok Kang jun Hyeon Lim Chan‑Hwi Eom Amay J.Bandodkar Hanul Min Suk‑won Hwang KU‑KIST Graduate School of Converging Science and Technology Korea University145 Anam‑roSeongbuk‑guSeoul 02841Republic of Korea SK Hynix 2091Gyeongchung‑daeroBubal‑eupIcheon‑siGyeonggi‑do 17336Republic of Korea Hanwha Systems Co. Ltd.188Pangyoyeok‑roBundang‑guSeongnam‑siGyeonggi‑do 13524Republic of Korea Department of Electrical and Computer Engineering North Carolina State UniversityRaleighNC 27606USA Center for Advanced Self‑Powered Systems of Integrated Sensors and Technologies(ASSIST) North Carolina State UniversityRaleighNC 27606USA Department of Integrative Energy Engineering Korea University145 Anam‑roSeongbuk‑guSeoul 02841Republic of Korea Biomaterials Research Center Korea Institute of Science and Technology(KIST)5 Hwarang‑ro 14‑gilSeongbuk‑guSeoul 02792Republic of Korea Semiconductor R&D Center Samsung Electronics Co.Ltd.Hwaseong‑siGyeonggi‑do 18448Republic of Korea Center for Advanced Biomolecular Recognition Biomedical Research DivisionKorea Institute of Science and Technology(KIST)Seoul 02792Republic of Korea

Substrates or encapsulants in soft and stretchable formats are key components for transient,bioresorbable electronic systems;however,elastomeric polymers with desired mechanical and biochemical properties are very limited compared to nontransient ***,we introduce a bioresorbable elastomer,poly(glycolide-co-ε-caprolactone)(PGCL),that contains excellent material properties including high elongation-at-break(<1300%),resilience and toughness,and tunable dissolution *** of PGCLs as polymer matrices,in combination with conducing polymers,yields stretchable,conductive composites for degradable interconnects,sensors,and actuators,which can reliably function under external *** of device components with wireless modules demonstrates elastic,transient electronic suture system with on-demand drug delivery for rapid recovery of postsurgical wounds in soft,time-dynamic tissues.

关键词： Biodegradable elastomer Conductive polymer composites Biomedical device Transient electronics

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Wearable Triboelectric Nanogenerators Based on Printed Polyvinylidene Fluoride Films Incorporated with Cobalt-Based Metal-Organic Framework for Self-Powered Mobile Electronics

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Energy & Environmental Materials 2024年第4期7卷 396-403页

作者： Myeong-Hyeon kim Sang-Joon Park Tae-jun Ha Department of Electronic Materials Engineering Kwangwoon University

In this study,wearable triboelectric nanogenerators comprising bar-printed polyvinylidene fluoride (PVDF) films incorporated with cobalt-based metalorganic framework (Co-MOF) were *** enhanced output performance of the TENCs was attributed to the phase transition of PVDF from α-crystals to β-crystals,as facilitated by the incorporation of the MOF.

关键词： bar printing phase transition polyvinylidene fluoride incorporated with cobalt-based metal–organic framework self-powered mobile electronics wearable triboelectric nanogenerators