Daegu Gyeongbuk Institute of Science and Technology
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항-GFRAL Antagonist 항체 및 이의 용도
No full text본 발명은 GFRAL 길항 항체 및 이의 용도에 관한 것으로서, 더욱 상세하게, 본 발명은 특정 서열의 중쇄 CDR 및 경쇄 CDR을 포함하는 항-GFRAL 항체 또는 이의 항원 결합 단편에 대한 것이다. 상기 항-GFRAL 항체는 암 관련 식욕 부진 또는 악액질 증후군 및 화학요법 항암제 부작용 개선 또는 치료에 유용하게 활용될 수 있을 것으로 예상된다
An Energy Efficient and Temperature Stable Digital FLL-Based Wakeup Timer With Time-Domain Temperature Compensation
No full textThis brief presents an on-chip digital intensive frequency-locked loop (DFLL)-based wakeup timer with a time-domain temperature compensation featuring a embedded temperature sensor. The proposed compensation exploits the deterministic temperature characteristics of two complementary resistors to stabilize the timer’s operating frequency across the temperature by modulating the activation time window of the two resistors. As a result, it achieves a fine trimming step (± 1 ppm), allowing a small frequency error after trimming (<± 20 ppm). By reusing the DFLL structure, instead of employing a dedicated sensor, the temperature sensing operates in the background with negligible power (2 %) and hardware overhead (< 1 %). The chip is fabricated in 40 nm CMOS, resulting in 0.9 pJ/cycle energy efficiency while achieving 8 ppm/∘C from -40∘C to 80∘C. IEEEFALSEsciescopu
METHOD AND APPARATUS FOR IMAGE GUIDED SURGERY
No full text영상 가이드 수술 방법 및 장치가 개시된다. 본 개시의 일 실시 예에 따른 영상 가이드 수술 방법은, 카메라를 통해 수술 대상 환자를 촬영하는 단계와, 카메라의 줌렌즈 배율 변경 여부를 인식하는 단계와, 카메라의 렌즈 전면에 프리즘이 부착된 프리즘 환경에서, 프리즘을 통과하는 카메라의 광축에 수직으로 배치된 체스보드에 대한 체스보드 이미지를 획득하는 단계와, 저배율에서 산출된 저배율 카메라 파라미터의 적어도 일부를 기반으로 기 학습된 카메라 파라미터 산출 알고리즘을 통해, 프리즘 환경에서의 체스보드 이미지에 따른 초점거리를 산출하고, 프리즘 환경에서의 초점거리에 대응하는 일반 환경에서의 고배율 카메라 파라미터를 산출하는 단계와, 산출한 일반 환경에서의 카메라 파라미터를 기반으로 수술 대상 환자를 촬영한 이미지에 증강현실을 시각화하는 단계를 포함할 수 있다
Maladaptation of dentate gyrus mossy cells mediates contextual discrimination deficit after traumatic stress
No full textFear overgeneralization is a maladaptive response to traumatic stress that is associated with the inability to discriminate between threat and safety contexts, a hallmark feature of post-traumatic stress disorder (PTSD). However, the neural mechanisms underlying this deficit remain unclear. Here, we show that traumatic stress exposure impairs contextual discrimination between threat and safety contexts in the learned helplessness (LH) model. Mossy cells (MCs) in the dorsal hippocampus are suppressed in response to traumatic stress. Bidirectional manipulation of MC activity in the LH model reveals that MC inhibition is causally linked to impaired contextual discrimination. Mechanistically, MC inhibition increases the number of active granule cells in a given context, significantly overlapping context-specific ensembles. Our study demonstrates that maladaptive inhibition of MCs after traumatic stress is a substantial mechanism underlying fear overgeneralization with contextual discrimination deficit, suggesting a potential therapeutic target for cognitive symptoms of PTSD. © 2024 The Author(s)TRUEsciescopu
OPTICAL BASED LOCAL CONTACT LOWER SUBSTRATE FOR THIN FILM SOLAR CELL AND FABRICATING METHOD THEREOF
No full textBoosting selective hydrogenation of α,β-unsaturated aldehydes through constructing independent Pt and Fe active sites on support
No full textThe alloy catalysts usually exhibited excellent catalytic synergy owing to the electronic and ensemble effect. However, the process of alloying makes the displacement of the d-band center from the Fermi level, decreasing the adsorption strength of reactant molecules. Herein, we constructed the spatial separation catalyst in which the independent Pt and FeOx nanoparticles were uniformly distributed on SBA-15 support (denoted as Pt = Fe/SBA-15), which exhibits remarkable efficiency in the hydrogenation of α,β-unsaturated aldehydes, i.e. with a 4 fold higher than the corresponding alloy catalyst in reaction rate, and a 4 fold increase in selectivity for cinnamalcohol production compared to the single Pt catalyst. It is found that Pt primarily catalyzes the H2 dissociative adsorption into H*, while FeOx mainly catalyzes the reaction between H* and aldehydes, forming alcohols. Assuming that the rate-determining-step is the H-spillover from Pt to Fe, the two cascade reactions are interconnected. To confirm this mechanism, we employ a physical mixture catalyst of Pt/SBA-15 and FeOx/SBA-15, where its catalytic activity lies between Pt = Fe/SBA-15 and alloy materials. The catalysts’ structures are well characterized by STEM and EDS mapping analysis, and the mechanism is supported by experimental data and DFT calculations. The research we conducted offers a new perspective into the cooperative catalysis, achieved by coupling independent active centers in thermos-hydrogenation reactions. © 2024 Elsevier B.V.FALSEsciescopu
Temporal-Quality Ensemble Technique for Handling Image Blur in Packaging Defect Inspection
Get PDFDespite achieving numerous successes with surface defect inspection based on deep learning, the industry still faces challenges in conducting packaging defect inspections that include critical information such as ingredient lists. In particular, while previous achievements primarily focus on defect inspection in high-quality images, they do not consider defect inspection in low-quality images such as those containing image blur. To address this issue, we proposed a noble inference technique named temporal-quality ensemble (TQE), which combines temporal and quality weights. Temporal weighting assigns weights to input images by considering the timing in relation to the observed image. Quality weight prioritizes high-quality images to ensure the inference process emphasizes clear and reliable input images. These two weights improve both the accuracy and reliability of the inference process of low-quality images. In addition, to experimentally evaluate the general applicability of TQE, we adopt widely used convolutional neural networks (CNNs) such as ResNet-34, EfficientNet, ECAEfficientNet, GoogLeNet, and ShuffleNetV2 as the backbone network. In conclusion, considering cases where at least one low-quality image is included, TQE has an F1-score approximately 17.64% to 22.41% higher than using single CNN models and about 1.86% to 2.06% higher than an average voting ensemble. © 2024 by the authors.TRUEsciescopu