LEADERSHIP SKILLS IN CHILDREN WHO PREFER RISKY PLAY: A STUDY BASED ON REPUBLIC OF KOREAN CHILDREN

Purpose: This study was to investigate the difference in leadership skill depending on the preference of risky play in Korean children. Methodology: In order to archive that purpose, we have collected data from 381(215 male and 166 female) Korean elementary school students, upon distributing papers of questionnaire which is composed of Preference to Playing Forms Scale for Children and Scale to Research and Evaluate Youth Leadership Life Skills Development and performed statistical analysis using SPSS. Main Findings: The children who prefer risky play more showed significantly higher scores in all sub-factors of leadership skill such as communication, decision making, human relationship, solving problem, positive belief and consideration than the children who prefer risky play less. Implications: This can mean that the leadership skill of the children who prefer risky play more is superior to that of the children who prefer it less. Therefore it can be suggested that children’s participating in well-controlled risky play be an effective method to develop their leadership skill

RPLKG: Robust Prompt Learning with Knowledge Graph

Large-scale pre-trained models have been known that they are transferable, and they generalize well on the unseen dataset. Recently, multimodal pre-trained models such as CLIP show significant performance improvement in diverse experiments. However, when the labeled dataset is limited, the generalization of a new dataset or domain is still challenging. To improve the generalization performance on few-shot learning, there have been diverse efforts, such as prompt learning and adapter. However, the current few-shot adaptation methods are not interpretable, and they require a high computation cost for adaptation. In this study, we propose a new method, robust prompt learning with knowledge graph (RPLKG). Based on the knowledge graph, we automatically design diverse interpretable and meaningful prompt sets. Our model obtains cached embeddings of prompt sets after one forwarding from a large pre-trained model. After that, model optimizes the prompt selection processes with GumbelSoftmax. In this way, our model is trained using relatively little memory and learning time. Also, RPLKG selects the optimal interpretable prompt automatically, depending on the dataset. In summary, RPLKG is i) interpretable, ii) requires small computation resources, and iii) easy to incorporate prior human knowledge. To validate the RPLKG, we provide comprehensive experimental results on few-shot learning, domain generalization and new class generalization setting. RPLKG shows a significant performance improvement compared to zero-shot learning and competitive performance against several prompt learning methods using much lower resources

Selective crack formation on stretchable silver nano-particle based thin films for customized and integrated strain-sensing system

Wrinkle structure effectively suppresses the crack formation in a material under tensile strain, thus enabling intrinsically brittle material to be strain-tolerant. If the brittle nature of the material can be selectively engineered on the wrinkle structure, combination of mechanically different structures can be obtained within the same material. In this work, we introduce a simple and facile approach to effectively turn strain-tolerant conductive metal thin film with wrinkle structure into crack-rich thin film. The intended phenomenon was controlled by additionally inkjet-printing Ag thin film onto the wrinkle structure, and the structure and performance were also systematically optimized to enhance sensitivity and stability of the sensor. Our strategy to induce intended cracks on corrugated metal thin film enables not only to stably combine stretchable interconnectors and strain sensors but also to fabricate an integrated strain sensor system that can be custom-tailored to the subject's hand size. We believe the facile strategy will be a good step to realize an integrated strain sensor system.N

Synchrotron X-ray reflectivity studies of nanoporous organosilicate thin films with low dielectric constants

Quantitative, non-destructive X-ray reflectivity analysis using synchrotron radiation sources was successfully performed on nanoporous dielectric thin films prepared by thermal processing of blend films of a thermally curable polymethylsilsesquioxane dielectric precursor and a thermally labile triethoxy-silyl-terminated six-arm poly(epsilon-caprolactone) porogen in various compositions. In addition, thermogravimetric analysis and transmission electron microscopy analysis were carried out. These measurements provided important structural information about the nanoporous films. The thermal process used in this study was found to cause the porogen molecules to undergo efficiently sacrificial thermal degradation, generating closed, spherical nanopores in the dielectric film. The resultant nanoporous films exhibited a homogeneous, well defined structure with a thin skin layer and low surface roughness. In particular, no skin layer was formed in the porous film imprinted using a porogen loading of 30 wt%. The film porosities ranged from 0 to 33.8% over the porogen loading range of 0-30 wt%open131

Multidipping Technique for Fabrication Time Reduction and Performance Improvement of Solution-Processed Single-Walled Carbon Nanotube Thin-Film Transistors

Herein, a simple and effective technique, "multidipping technique," is implemented to rapidly form random networks of single-walled carbon nanotubes (SWCNTs) used as a channel material in solution-processed thin-film transistors (TFTs). The multidipping process consists of repetition of dipping a substrate into a dispersed semiconducting SWCNT solution and rinsing the substrate between each dipping process. Compared with the conventional dipping method, this technique reduces total deposition time required to form high-quality SWCNT networks by more than half and simultaneously improves the electrical performances of SWCNT TFTs. These phenomena are also comprehensively analyzed with experiments and microscopic images of the channel region, which well show morphology of the SWCNT networks. It is believed that the low-temperature process and facile deposition method of SWCNT networks can provide a guideline for high-throughput fabrication of high-performance SWCNT TFT arrays in flexible active matrix sensor array and display applications.N

Inkjet-Printed Silver Gate Electrode and Organic Dielectric Materials for Bottom-Gate Pentacene Thin-Film Transistors

An inkjet-printed silver electrode and a spin-coated cross-linked poly(4-vinylphenol)(PVP) dielectric layer were used as a gate electrode and a gate insulator for a bottom-gate pentacene thin-film transistor (TFT), respectively. The printing and the curing conditions of the printed silver electrode were optimized and tested on various substrates, such as glass, silicon, silicon dioxide, polyethersulfone, polyethyleneterephthalate, polyimide and polyarylate, to produce a good sheet resistance of 0.2 $\sim$ 0.4 $\Omega$/$\square$ and a good surface roughness of 2.38 nm in RMS value and 20.14 nm in peak-to-valley (P2V) value, which are very similar to those of conventionally-sputtered indium-tin-oxide (ITO) or thermally-evaporated silver electrodes. The coated PVP layer of metal/PVP/metal devices showed a good insulation property of 10.4 nA/$\rm cm^{2}$ at 0.5 MV/cm. The PVP layer further reduced the surface roughness of the gate electrode to provide a good interface to the pentance layer. The pentacene TFT with a structure of glass/printed silver/PVP/pentacene/Au showed a good saturation region mobility of 0.13 $\rm cm^{2}$/Vs and a good on/off ratio of larger than 10$^{5}$, which are similar to the performance of a pentacene TFT with a conventional ITO gate electrode.This work was supported by \SystemIC2010" project of Korea Ministry of Knowledge Economy and by the Seoul R&BD Program (CRO70048)

Substrate thermal conductivity effect on heat dissipation and lifetime improvement of organic light-emitting diodes

We report substrate thermal conductivity effect on heat dissipation and lifetime improvement of organic light-emitting diodes (OLEDs). Heat dissipation behavior of top-emission OLEDs fabricated on silicon, glass, and planarized stainless steel substrates was measured by using an infrared camera. Peak temperature measured from the backside of each substrate was saturated to be 21.4, 64.5, and 40.5 °C, 180 s after the OLED was operated at luminance of 10 000 cd/m2 and 80% luminance lifetime was about 198, 31, and 96 h, respectively. Efficient heat dissipation through the highly thermally conductive substrates reduced temperature increase, resulting in much improved OLED lifetime.This work supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund) (Grant No. KRF-2008-331-D00216)

Results from the PARADIGM registry

Funding Information: This work was supported by the Korea Medical Device Development Fund grant funded by the Korean government (Ministry of Science and ICT; Ministry of Trade, Industry and Energy; Ministry of Health & Welfare, Republic of Korea; and Ministry of Food and Drug Safety; Project Number: 202016B02) and funded in part by a generous gift from the Dalio Institute of Cardiovascular Imaging and the Michael Wolk Foundation. This work was also supported by the National Research Foundation of Korea [RS‐2022‐00165404, 2022R1A5A6000840, 2020R1I1A1A01073151]. The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. Publisher Copyright: © 2023 The Authors. Clinical Cardiology published by Wiley Periodicals, LLC.Background and Hypothesis: The recently introduced Bayesian quantile regression (BQR) machine-learning method enables comprehensive analyzing the relationship among complex clinical variables. We analyzed the relationship between multiple cardiovascular (CV) risk factors and different stages of coronary artery disease (CAD) using the BQR model in a vessel-specific manner. Methods: From the data of 1,463 patients obtained from the PARADIGM (NCT02803411) registry, we analyzed the lumen diameter stenosis (DS) of the three vessels: left anterior descending (LAD), left circumflex (LCx), and right coronary artery (RCA). Two models for predicting DS and DS changes were developed. Baseline CV risk factors, symptoms, and laboratory test results were used as the inputs. The conditional 10%, 25%, 50%, 75%, and 90% quantile functions of the maximum DS and DS change of the three vessels were estimated using the BQR model. Results: The 90th percentiles of the DS of the three vessels and their maximum DS change were 41%–50% and 5.6%–7.3%, respectively. Typical anginal symptoms were associated with the highest quantile (90%) of DS in the LAD; diabetes with higher quantiles (75% and 90%) of DS in the LCx; dyslipidemia with the highest quantile (90%) of DS in the RCA; and shortness of breath showed some association with the LCx and RCA. Interestingly, High-density lipoprotein cholesterol showed a dynamic association along DS change in the per-patient analysis. Conclusions: This study demonstrates the clinical utility of the BQR model for evaluating the comprehensive relationship between risk factors and baseline-grade CAD and its progression.publishersversionepub_ahead_of_prin