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ZnS Nano-Spheres Formed by the Aggregation of Small Crys- tallites and Their Photocatalytic Degradation of Eosin B

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Chinese Journal of Chemistry 2017年第2期35卷 159-164页

作者： Sovann Khan Joon Soo Han seungyong lee So-Hye Cho Materials Architecturing Research Center Korea Institute of Science and Technology 02792 Republic of Korea Department of Nanomaterial Science and Engineering Korea University of Science and Technology Daejeon 34113 Republic of Korea

Monodispersed ZnS nano-spheres were synthesized by a simple precipitation. By adjusting the concentration of Zn and S sources, the particle size and morphology were easily controlled. Careful examination of the obtained par- ticles suggested porous structures composed of building blocks of small crystallites, ca. 4-- 13.4 nm in diameter. A higher [S]/[Zn]-precursor ratio resulted in a bigger crystallite size but a smaller particle size, and vice versa, for the lower precursor ratio. However, an extreme [S]/[Zn] ratio of 20 provided no spherical aggregation, but a formation of amorphous aggregates. We consider the rate to nucleation and the diffusion-controlled aggregation of crystallites to be important parameters in determining particle sizes and size distributions. Size homogeneity of the obtained ZnS nano-spheres, especially with a [S]/[Zn]-precursor ratio of 5, afforded a photonic crystal array that can poten- tially benefit the photocatalytic activity. When the photocatalytic activities of the ZnS nano-spheres obtained via different conditions were compared, it was found that spherical aggregation and high surface areas have a positive effect on catalytic activity. Although using a [S]/[Zn] ratio of 20 provided the highest surface area, the amorphous aggregation and overly excessive use of S caused a detrimental influence on the catalytic activity.

关键词： ZnS nano-spheres photocatalysis aggregation eosin B

NPRportrait 1.0:A three-level benchmark for non-photorealistic rendering of portraits

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Computational Visual Media 2022年第3期8卷 445-465页

作者： Paul L.Rosin Yu-Kun Lai David Mould Ran Yi Itamar Berger Lars Doyle seungyong lee Chuan Li Yong-Jin Liu Amir Semmo Ariel Shamir Minjung Son Holger Winnemöller School of Computer Science and Informatics Cardiff UniversityCardiffUK School of Computer Science Carleton UniversityOttawaCanada Department of Computer Science and Technology Tsinghua UniversityBeijingChina Reichman University(the Interdisciplinary Center) HerzliyaIsrael Department of Computer Science and Engineering Pohang University of Science and TechnologyPohangRepublic of Korea Lambda Labs Inc.San FranciscoUSA Hasso Plattner Institute University of PotsdamPotsdamGermany Multimedia Processing Laboratory Samsung Advanced Institute of TechnologySuwonRepublic of Korea Adobe Systems Inc.San JoseUSA

Recently,there has been an upsurge of activity in image-based non-photorealistic rendering(NPR),and in particular portrait image stylisation,due to the advent of neural style transfer(NST).However,the state of performance evaluation in this field is poor,especially compared to the norms in the computer vision and machine learning ***,the task of evaluating image stylisation is thus far not well defined,since it involves subjective,perceptual,and aesthetic *** make progress towards a solution,this paper proposes a new structured,threelevel,benchmark dataset for the evaluation of stylised portrait *** criteria were used for its construction,and its consistency was validated by user ***,a new methodology has been developed for evaluating portrait stylisation algorithms,which makes use of the different benchmark levels as well as annotations provided by user studies regarding the characteristics of the *** perform evaluation for a wide variety of image stylisation methods(both portrait-specific and general purpose,and also both traditional NPR approaches and NST)using the new benchmark dataset.

关键词： non-photorealistic rendering(NPR) image stylization style transfer portrait evaluation benchmark

Neuron-to-vessel signaling is a required feature of aberrant stem cell commitment after soft tissue trauma

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Bone Research 2022年第3期10卷 615-626页

作者： Qizhi Qin Mario Gomez-Salazar Masnsen Cherief Chase A.Pagani seungyong lee Charles Hwang Robert J.Tower Sharon Onggo Yuxiao Sun Abhinav Piplani Zhao Li Sowmya Ramesh Thomas L.Clemens Benjamin Levi Aaron W.James Department of Pathology Johns Hopkins UniversityBaltimoreMD 21205USA Center for Organogenesis and Trauma Department of SurgeryUniversity of TexasSouthwesternTXUSA Department of Plastic Surgery HarvardCambridgeMA 02138USA Department of Orthopaedics Johns Hopkins UniversityBaltimoreMD 21205USA Baltimore Veterans Administration Medical Center BaltimoreMD 21201USA

The functional interdependence of nerves and blood vessels is a well-established concept during tissue morphogenesis, yet the role of neurovascular coupling in proper and aberrant tissue repair is an emerging field of interest. Here, we sought to define the regulatory relationship of peripheral nerves on vasculature in a severe extremity trauma model in mice, which results in aberrant cell fate and heterotopic ossification(HO). First, a high spatial degree of neurovascular congruency was observed to exist within extremity injury associated heterotopic ossification. Vascular and perivascular cells demonstrate characteristic responses to injury,as assessed by single cell RNA sequencing. This vascular response to injury was blunted in neurectomized mice, including a decrease in endothelial proliferation and type H vessel formation, and a downregulation of key transcriptional networks associated with angiogenesis. Independent mechanisms to chemically or genetically inhibit axonal ingrowth led to similar deficits in HO site angiogenesis, a reduction in type H vessels, and heterotopic bone formation. Finally, a combination of single cell transcriptomic approaches within the dorsal root ganglia identified key neural-derived angiogenic paracrine factors that may mediate neuron-to-vascular signaling in HO. These data provide further understanding of nerve-to-vessel crosstalk in traumatized soft tissues, which may reflect a key determinant of mesenchymal progenitor cell fate after injury.

关键词： aberrant trauma nerves

Spider-inspired tunable mechanosensor for biomedical applications

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npj Flexible Electronics 2023年第1期7卷 444-452页

作者： Taewi Kim Insic Hong Yeonwook Roh Dongjin Kim Sungwook Kim Sunghoon Im Changhwan Kim Kiwon Jang Seongyeon Kim Minho Kim Jieun Park Dohyeon Gong Kihyeon Ahn Jingoo lee Gunhee lee Hak-Seung lee Jeehoon Kang Ji Man Hong Seungchul lee Sungchul Seo Bon-Kwon Koo Je-sung Koh seungyong Han Daeshik Kang Department of Mechanical Engineering Ajou UniversitySuwonKorea Department of Mechanical Engineering Pohang University of Science and TechnologyPohangKorea Department of Sustainable Environment Research Korea Institute of Machinery&MaterialsDaejeonKorea Department of Internal Medicine and Cardiovascular Center Seoul National University HospitalSeoulKorea Department of Neurology and Neurosurgery Ajou University School of MedicineSuwonKorea Department of Nano-chemical Biological and Environmental EngineeringSeokyeong UniversitySeoulKorea Institute on Aging Seoul National UniversitySeoulKorea

The recent advances of wearable sensors are remarkable but there are still limitations that they need to be refabricated to tune the sensor for target ***,biological sensory systems have the inherent potential to adjust their sensitivity according to the external environment,allowing for a broad and enhanced ***,we developed a Tunable,Ultrasensitive,Nature-inspired,Epidermal Sensor(TUNES)that the strain sensitivity was dramatically increased(GF~30k)and the pressure sensitivity could be tuned(10–254 kPa^(−1))by preset membrane *** sensor adjusts the sensitivity to the pressure regime by preset tension,so it can measure a wide range(0.05 Pa–25 kPa)with the best performance:from very small signals such as minute pulse to relatively large signals such as muscle contraction and *** verified its capabilities as a wearable health monitoring system by clinical trial comparing with pressure wire which is considered the current gold standard of blood pressure(r=0.96)and home health care system by binary classification of Old’s/Young’s pulse waves via machine learning(accuracy 95%).

关键词： Sensor adjust Spider

Ultra-stable and tough bioinspired crack-based tactile sensor for small legged robots

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npj Flexible Electronics 2023年第1期7卷 339-350页

作者： Taewi Kim Insic Hong Minho Kim Sunghoon Im Yeonwook Roh Changhwan Kim Jongcheon Lim Dongjin Kim Jieun Park Seunggon lee Daseul Lim Junggwang Cho Seokhaeng Huh Seung-Un Jo ChangHwan Kim Je-Sung Koh seungyong Han Daeshik Kang Multiscale Bio-inspired Technology Lab Department of Mechanical EngineeringAjou University206 World cup-roYeongtong-guSuwon-siGyeonggi-do 16499South Korea Weldon School of Biomedical Engineering Purdue UniversityWest LafayetteINUSA LIG Nex1 333Pangyo-roBundang-guSeongnam-siGyeonggi-do 13488Republic of Korea Defense Industry Technology Center Agency for Defense Development61Yeouidaebang-roDongjak-guSeoulRepublic of Korea

For legged robots,collecting tactile information is essential for stable posture and efficient ***,mounting sensors on small robots weighing less than 1 kg remain challenges in terms of the sensor’s durability,flexibility,sensitivity,and *** sensors featuring ultra-sensitivity,small-size,and flexibility could be a promising candidate,but performance degradation due to crack growing by repeated use is a stumbling *** paper presents an ultra-stable and tough bio-inspired crack-based sensor by controlling the crack depth using silver nanowire(Ag NW)mesh as a crack stop *** Ag NW mesh inspired by skin collagen structure effectively mitigated crack *** sensor was very thin,lightweight,sensitive,and ultra-durable that maintains its sensitivity during 200,000 cycles of 0.5%*** demonstrate sensor’s feasibility by implementing the tactile sensation to bio-inspired robots,and propose statistical and deep learning-based analysis methods which successfully distinguished terrain type.

关键词： crack tough durability

Epidermal piezoresistive structure with deep learning-assisted data translation

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npj Flexible Electronics 2022年第1期6卷 672-680页

作者： Changrok So Jong Uk Kim Haiwen Luan Sang Uk Park Hyochan Kim seungyong Han Doyoung Kim Changhwan Shin Tae-il Kim Wi Hyoung lee Yoonseok Park Keun Heo Hyoung Won Baac Jong Hwan Ko Sang Min Won Department of Electrical and Computer Engineering Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea School of Chemical Engineering Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea Querrey Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIL 60208USA Department of Mechanical Engineering Ajou UniversitySuwon 16499Republic of Korea School of Electrical Engineering Korea UniversitySeoul 02841Republic of Korea Biomedical Institute for Convergence(BICS) Sungkyunkwan University(SKKU)Suwon 16419Korea Department of Organic and Nano System Engineering Konkuk UniversitySeoul 05029Republic of Korea Department of Advanced Materials Engineering for Information and Electronics Kyung Hee UniversityYongin 17104Republic of Korea School of Semiconductor and Chemical Engineering Jeonbuk National UniversityJeonju 54896Republic of Korea

Continued research on the epidermal electronic sensor aims to develop sophisticated platforms that reproduce key multimodal responses in human skin,with the ability to sense various external stimuli,such as pressure,shear,torsion,and *** development of such applications utilizes algorithmic interpretations to analyze the complex stimulus shape,magnitude,and various moduli of the epidermis,requiring multiple complex equations for the attached *** this experiment,we integrate silicon piezoresistors with a customized deep learning data process to facilitate in the precise evaluation and assessment of various stimuli without the need for such *** the ability to surpass conventional vanilla deep regression models,the customized regression and classification model is capable of predicting the magnitude of the external force,epidermal hardness and object shape with an average mean absolute percentage error and accuracy of<15 and 96.9%,*** technical ability of the deep learning-aided sensor and the consequent accurate data process provide important foundations for the future sensory electronic system.

关键词： utilize attached precise