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Evaluation of Shielding Performance of 3D Printer Materials for High-energy Electron Radiation Therapy (고 에너지 전자선 치료를 위한 3D 프린터 물질의 차폐 성능평가)

  • Chang-Woo, Oh;Sang-Il, Bae;Young-Min, Moon;Hyun-Kyoung, Yang
    • Journal of the Korean Society of Radiology
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    • v.16 no.6
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    • pp.687-695
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    • 2022
  • To find a 3D printer material that can replace lead used as a shield for high-energy electron beam treatment, the shielding composites were simulated by using MCNP6 programs. The Percent Depth Dose (PDD), Flatness, and Symmetry of linear accelerators emitting high-energy electron beams were measured, and the linear accelerator was compared with MCNP6 after simulation, confirming that the source term between the actual measurement and simulation was consistent. By simulating the lead shield, the appropriate thickness of the lead shield capable of shielding 95% or more of the absorbed dose was selected. Based on the absorption dose data for lead shield with a thickness of 3 mm, the shielding performance was analyzed by simulating 1, 5, 10, and 15 mm thicknesses of ABS+W (10%), ABS+Bi (10%), and PLA+Fe (10%). Each prototype was manufactured with a 3D printer, measured and analyzed under the same conditions as in the simulation, and found that when ABS+W (10%) material was formed to have a thickness of at least 10mm, it had a shielding performance that could replace lead with a thickness of 3mm. The surface morphology and atomic composition of the ABS+W (10%) material were evaluated using a scanning electron microscope (SEM) and an energy dispersive X-ray spectrometer (EDS). From these results, it was confirmed that replacing the commercialized lead shield with ABS+W (10%) material not only produces a shielding effect such as lead, but also can be customized to patients using a 3D printer, which can be very useful for high-energy electron beam treatment.

Blend of essential oils can reduce diarrheal disorders and improve liver antioxidant status in weaning piglets

  • Maiara Ananda, Grando;Vanessa, Costa;Jansller Luiz, Genova;Paulo Evaristo, Rupolo;Liliana Bury, de Azevedo;Leandro Batista, Costa;Silvana Teixeira, Carvalho;Thiago Pereira, Ribeiro;Daniel Pigatto, Monteiro;Paulo Levi, de Oliveira Carvalho
    • Animal Bioscience
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    • v.36 no.1
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    • pp.119-131
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    • 2023
  • Objective: This study was to assess the effects of different doses of an essential oil blend (EOB) on growth performance, diarrhea occurrence (DO), hematological and blood biochemical profile, intestinal morphometry, morphology and microbiology, relative weight and length of organs, digestive content pH, and liver antioxidant status in weaning piglets. Methods: A total of 135 barrows (7.09±0.29 kg body weight) were allotted randomly in a randomized complete block design based on body weight with nine replications and three animals per pen. Dietary treatments were a negative control (NC): basal diet; positive control (PC): NC plus 125 mg performance-enhancing antibiotic (enramycin 8%)/kg diet; NC plus 100 mg EOB/kg diet (EO100); NC plus 200 mg EOB/kg diet (EO200); and NC plus 400 mg EOB/kg diet (EO400). Diarrhea occurrence was monitored daily, and performance at the end of each phase. Results: Gain to feed ratio was greater (p<0.05) in starter II pigs fed EO400 and EO200 than in those fed EO100. Pigs fed EO400 had lower (p<0.05) DO than those fed NC and EO100 in the total period. Pre-starter II pigs fed NC had (p<0.05) lower serum total protein and plasma protein than pigs fed PC. Pigs fed EO100 showed smaller (p<0.05) mean corpuscular volume (MCV) than pigs fed EO400. Starter II pigs fed EO400 had (p<0.05) greater MCV and lower mean corpuscular hemoglobin and erythrocytes than those fed EO100. There was a greater concentration (p<0.05) of band cells for PC, similar to EO400 and EO200. Performance-enhancing antibiotic and EOB to diets increased (p<0.05) liver superoxide dismutase activity. Conclusion: Adding 200 and 400 mg EOB/kg diet decreased DO and was advantageous to hematological and blood biochemical profile and liver antioxidant status without being detrimental to growth performance and gastrointestinal health in nursery pigs.

Analysis of Grover Attack Cost and Post-Quantum Security Strength Evaluation for Lightweight Cipher SPARKLE SCHWAEMM (경량암호 SPARKLE SCHWAEMM에 대한 Grover 공격 비용 분석 및 양자 후 보안 강도 평가)

  • Yang, Yu Jin;Jang, Kyung Bae;Kim, Hyun Ji;Song, Gyung Ju;Lim, Se Jin;Seo, Hwa Jeong
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.12
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    • pp.453-460
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    • 2022
  • As high-performance quantum computers are expected to be developed, studies are being actively conducted to build a post-quantum security system that is safe from potential quantum computer attacks. When the Grover's algorithm, a representative quantum algorithm, is used to search for a secret key in a symmetric key cryptography, there may be a safety problem in that the security strength of the cipher is reduced to the square root. NIST presents the post-quantum security strength estimated based on the cost of the Grover's algorithm required for an attack of the cryptographic algorithm as a post-quantum security requirement for symmetric key cryptography. The estimated cost of Grover's algorithm for the attack of symmetric key cryptography is determined by the quantum circuit complexity of the corresponding encryption algorithm. In this paper, the quantum circuit of the SCHWAEMM algorithm, AEAD family of SPARKLE, which was a finalist in NIST's lightweight cryptography competition, is efficiently implemented, and the quantum cost to apply the Grover's algorithm is analyzed. At this time, the cost according to the CDKM ripple-carry adder and the unbounded Fan-Out adder is compared together. Finally, we evaluate the post-quantum security strength of the lightweight cryptography SPARKLE SCHWAEMM algorithm based on the analyzed cost and NIST's post-quantum security requirements. A quantum programming tool, ProjectQ, is used to implement the quantum circuit and analyze its cost.

A Security SoC embedded with ECDSA Hardware Accelerator (ECDSA 하드웨어 가속기가 내장된 보안 SoC)

  • Jeong, Young-Su;Kim, Min-Ju;Shin, Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.7
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    • pp.1071-1077
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    • 2022
  • A security SoC that can be used to implement elliptic curve cryptography (ECC) based public-key infrastructures was designed. The security SoC has an architecture in which a hardware accelerator for the elliptic curve digital signature algorithm (ECDSA) is interfaced with the Cortex-A53 CPU using the AXI4-Lite bus. The ECDSA hardware accelerator, which consists of a high-performance ECC processor, a SHA3 hash core, a true random number generator (TRNG), a modular multiplier, BRAM, and control FSM, was designed to perform the high-performance computation of ECDSA signature generation and signature verification with minimal CPU control. The security SoC was implemented in the Zynq UltraScale+ MPSoC device to perform hardware-software co-verification, and it was evaluated that the ECDSA signature generation or signature verification can be achieved about 1,000 times per second at a clock frequency of 150 MHz. The ECDSA hardware accelerator was implemented using hardware resources of 74,630 LUTs, 23,356 flip-flops, 32kb BRAM, and 36 DSP blocks.

Electrochemical Method for Measurement of Hydroxide Ion Conductivity and CO2 Poisoning Behavior of Anion Exchange Membrane (음이온 교환막의 정확한 OH-전도도 및 CO2 피독 효과 분석을 위한 전기화학적 측정법)

  • Kim, Suyeon;Kwon, Hugeun;Lee, Hyejin;Jung, Namgee;Bae, Byungchan;Shin, Dongwon
    • Journal of the Korean Electrochemical Society
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    • v.25 no.2
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    • pp.88-94
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    • 2022
  • The anion exchange membrane used in alkaline membrane fuel cells transports hydroxide ions, and ion conductivity affects fuel cell performance. Thus, the measurement of absolute hydroxide ion conductivity is essential. However, it is challenging to accurately measure hydroxide ion conductivity since hydroxide ions are easily poisoned in the form of bicarbonate by carbon dioxide in the atmosphere. In this study, we applied electrochemical ion exchange treatment to measure the absolute hydroxide ion conductivity of the anion exchange membrane. In addition, we investigated the effect of carbon dioxide poisoning of hydroxide ions on electrochemical performance by measuring bicarbonate conductivity. Commercial anion exchange membranes (FAA-3-50 and Orion TM1) and polyphenylene-based block copolymer (QPP-6F) were used.

MicroRNA-21 promotes epithelial-mesenchymal transition and migration of human bronchial epithelial cells by targeting poly (ADP-ribose) polymerase-1 and activating PI3K/AKT signaling

  • Zhang, Shiqing;Sun, Peng;Xiao, Xinru;Hu, Yujie;Qian, Yan;Zhang, Qian
    • The Korean Journal of Physiology and Pharmacology
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    • v.26 no.4
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    • pp.239-253
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    • 2022
  • Epithelial-mesenchymal transition (EMT) is known to be involved in airway remodeling and fibrosis of bronchial asthma. However, the molecular mechanisms leading to EMT have yet to be fully clarified. The current study was designed to reveal the potential mechanism of microRNA-21 (miR-21) and poly (ADP-ribose) polymerase-1 (PARP-1) affecting EMT through the PI3K/AKT signaling pathway. Human bronchial epithelial cells (16HBE cells) were transfected with miR-21 mimics/inhibitors and PARP-1 plasmid/small interfering RNA (siRNA). A dual luciferase reporter assay and biotin-labeled RNA pull-down experiments were conducted to verify the targeting relationship between miR-21 mimics and PARP-1. The migration ability of 16HBE cells was evaluated by Transwell assay. Quantitative real-time polymerase chain reaction and Western blotting experiments were applied to determine the expression of Snail, ZEB1, E-cadherin, N-cadherin, Vimentin, and PARP-1. The effects of the PI3K inhibitor LY294002 on the migration of 16HBE cells and EMT were investigated. Overexpression of miR-21 mimics induced migration and EMT of 16HBE cells, which was significantly inhibited by overexpression of PARP-1. Our findings showed that PARP-1 was a direct target of miR-21, and that miR-21 targeted PARP-1 to promote migration and EMT of 16HBE cells through the PI3K/AKT signaling pathway. Using LY294002 to block PI3K/AKT signaling pathway resulted in a significant reduction in the migration and EMT of 16HBE cells. These results suggest that miR-21 promotes EMT and migration of HBE cells by targeting PARP-1. Additionally, the PI3K/AKT signaling pathway might be involved in this mechanism, which could indicate its usefulness as a therapeutic target for asthma.

An Improved Skyline Query Scheme for Recommending Real-Time User Preference Data Based on Big Data Preprocessing (빅데이터 전처리 기반의 실시간 사용자 선호 데이터 추천을 위한 개선된 스카이라인 질의 기법)

  • Kim, JiHyun;Kim, Jongwan
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.5
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    • pp.189-196
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    • 2022
  • Skyline query is a scheme for exploring objects that are suitable for user preferences based on multiple attributes of objects. Existing skyline queries return search results as batch processing, but the need for real-time search results has increased with the advent of interactive apps or mobile environments. Online algorithm for Skyline improves the return speed of objects to explore preferred objects in real time. However, the object navigation process requires unnecessary navigation time due to repeated comparative operations. This paper proposes a Pre-processing Online Algorithm for Skyline Query (POA) to eliminate unnecessary search time in Online Algorithm exploration techniques and provide the results of skyline queries in real time. Proposed techniques use the concept of range-limiting to existing Online Algorithm to perform pretreatment and then eliminate repetitive rediscovering regions first. POAs showed improvement in standard distributions, bias distributions, positive correlations, and negative correlations of discrete data sets compared to Online Algorithm. The POAs used in this paper improve navigation performance by minimizing comparison targets for Online Algorithm, which will be a new criterion for rapid service to users in the face of increasing use of mobile devices.

A Study on the Analysis of Virus Barrier Materials in a Chest X-ray Laboratory to Respiratory and Droplet Infections Only Patients (호흡기 및 비말감염 환자 전용 흉부 X-선 검사실의 바이러스 차단제 분석에 관한 연구)

  • Kim, Hyeon-Ju;Lee, Jun-Ho;Choi, Kwan-Yong
    • Journal of the Korean Society of Radiology
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    • v.16 no.2
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    • pp.169-175
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    • 2022
  • In this study, envisioned a laboratory equipped with virus blocking equipment for chest X-ray examinations of respiratory or droplet-transmitted virus-infected patients, and the material with the least deterioration in X-ray output and image quality among the proven blocking materials that block viruses in the design process. and experimented to find the thickness. As a result, when 1 cm of acrylic was applied, the X-ray output was reduced by only about 3.27 % compared to the absence of the barrier material, the SNR was 40.7 and CNR was 30.9, which was the best. The SSIM index result was analyzed as 0.891, which was analyzed to be implemented as the most similar image compared to the original image. The barrier material applied in the research method was objective in that it used a product approved by the Ministry of Food and Drug Safety. the results of this study are expected to provide useful information when installing X-ray examination facilities for the diagnosis and treatment of respiratory-related virus-infected patients in the future.

Model-based Design and Verification of High-lift Control System Using a Performance Analysis Model (성능해석 모델을 활용한 고양력 제어시스템의 모델기반 설계 및 검증)

  • Cho, Hyunjun;Kim, Taeju;Kim, Eunsoo;Kim, Sangbeom;Lee, Joonwon
    • Journal of Aerospace System Engineering
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    • v.16 no.2
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    • pp.49-62
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    • 2022
  • The purpose of this paper was to present a model analysis-based design process and verification results for the high-lift control system of aircraft. For this, we used Matlab/Simulink, one of the most widely-used physical modeling tools. The high-lift control system can be divided into three domains. (i.e., Electronic control domain, Hydraulic actuation domain, and Mechanical power transmission domain) Based on this division, we modeled each of the major domains and sub-components, and integrated them to complete the complicated system model. During the development process, each model block was tuned by referring to the results of pre-test and parts acceptance tests. As a result, the entire performance model and the developed system were completely verified, through unit components and system integrated performance tests. Finally, we summarize the process and results applied to the design process of high-lift control system and present future work.

Methodology for Classifying Hierarchical Data Using Autoencoder-based Deeply Supervised Network (오토인코더 기반 심층 지도 네트워크를 활용한 계층형 데이터 분류 방법론)

  • Kim, Younha;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.185-207
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    • 2022
  • Recently, with the development of deep learning technology, researches to apply a deep learning algorithm to analyze unstructured data such as text and images are being actively conducted. Text classification has been studied for a long time in academia and industry, and various attempts are being performed to utilize data characteristics to improve classification performance. In particular, a hierarchical relationship of labels has been utilized for hierarchical classification. However, the top-down approach mainly used for hierarchical classification has a limitation that misclassification at a higher level blocks the opportunity for correct classification at a lower level. Therefore, in this study, we propose a methodology for classifying hierarchical data using the autoencoder-based deeply supervised network that high-level classification does not block the low-level classification while considering the hierarchical relationship of labels. The proposed methodology adds a main classifier that predicts a low-level label to the autoencoder's latent variable and an auxiliary classifier that predicts a high-level label to the hidden layer of the autoencoder. As a result of experiments on 22,512 academic papers to evaluate the performance of the proposed methodology, it was confirmed that the proposed model showed superior classification accuracy and F1-score compared to the traditional supervised autoencoder and DNN model.