Comparison of Outcomes After Septoplasty With Non-Absorbable or Biodegradable Synthetic Polyurethane Foam Nasal Packing With a Focus on Pain and Cardiac Factors

An Jae Seong,Kim Do Hyun,Kim Soo Whan,Kim Sung Won,Lee Il Hwan 대한비과학회 2023 Journal of rhinology Vol.30 No.1

Background and Objectives: We compared pain levels, cardiovascular parameters, and complications according to whether patients underwent nasal packing with non-absorbable or biodegradable materials. Methods: Patients who underwent septoplasty from May 2015 to April 2020 were retrospectively reviewed. Numeric rating scale (NRS) scores for pain, blood pressure, and heart rate were measured three times (immediately after surgery, 6 hours later, and on postoperative day [POD] 1). We collected data on complications, including postoperative bleeding, septal hematoma, adhesions, septal perforation, and the recurrence of septal deviation. Results: In total, 200 patients underwent septoplasty, of whom 100 underwent nasal packing with Merocel and 100 underwent packing with Nasopore. The summed NRS scores over the three time points did not differ significantly between the groups. The NRS scores at 6 hours after surgery were highest in both groups. The systolic and diastolic blood pressure and the heart rate immediately after surgery were significantly higher than before surgery in both groups. The blood pressure and heart rate at 6 hours after surgery and on POD 1 did not differ significantly from those before surgery in either group. The incidence of sleep disturbance, postoperative bleeding, septal hematoma, adhesions, septal perforation, and recurrence of septal deviation did not differ significantly between the two groups. Conclusion: Although the level of postoperative pain and the cardiovascular parameters changed over time, we found no significant differences in pain, blood pressure, heart rate, or the complication rate according to whether patients underwent nasal packing with Nasopore or Merocel.

Two Cases of Frontal Sinus Inverted Papilloma Treated With a Combined Bifrontal Craniotomy and Endonasal Endoscopic Approach

An Jae Seong,Kim Do Hyun 대한비과학회 2023 Journal of rhinology Vol.30 No.2

An inverted papilloma of the frontal sinus is a challenging lesion for surgeons, for both anatomical and pathological reasons. Despite the trend away from an external approach and towards an endonasal endoscopic approach, indications for an external approach remain. The options for an external approach include endoscopic frontal trephination, transpalpebral orbital craniotomy, a supraorbital transeyebrow approach, an osteoplastic flap, and bifrontal craniotomy with cranialization. Each approach has advantages and disadvantages. Deciding on the appropriate approach is important for the patient’s prognosis and risk of complications. We report two cases of frontal sinus inverted papilloma treated with a combined bifrontal craniotomy with cranialization and endonasal endoscopic approach. We also present a general review of the external approaches mentioned above.

Analysis of Air Flow inside the Compartment under Backdraft Conditions using Solid Combustibles

Jaeseong An(Jaeseong An),Taehoon Kim(Taehoon Kim) 한국화재소방학회 2022 International Journal of Fire Science and Engineer Vol.36 No.2

Backdraft is a phenomenon of explosive combustion that occurs when fire in a state of smoldering due to the lack of oxygen grows as the air is admitted after opening the entrance door or window. In this study, a reduced compartment was produced to simulate a backdraft. In an actual site, the fire was generated by solid combustibles, and hence, wood pieces were used to generate the backdraft in this study. Twenty-seven thermocouples were installed inside the compartment. One side of a wall consists of polycarbonate and the interior of the compartment was monitored using a camera. An additional fire simulation was performed using a fire dynamics simulator for in-depth analysis of the phenomena inside the compartment. In the experiment, the air flown into the compartment through the vent opening turned the smoldering fire of solid combustibles into the flaming fire, which led to the ignition of flammable gas inside the compartment. Next, the propagation of the flame was first directed upwards to the combustibles, then towards the center, and ultimately to the exterior. This phenomenon was observed in the analysis of the compartment holding a homogeneous flammable mixture. The results of the analysis showed that the flammable mixture on the interior was released to the exterior because of the rise in the internal pressure caused by flame propagation. Consequently, as the internal flame was propagated to the exterior, the mixture was ignited. Thus, the phenomenon of backdraft in the case of compartment fire was shown to occur as follows. First, the air flown in via the vent opening was elevated to the upper part of the compartment by the smoldering heat on the interior. Next, the flame led to the ignition of the flammable mixture formed on the upper part.

Dose Assessment of the Public in Ulsan Under Normal Operation of Nuclear Power Plants Using FLEXPART

Jaeseong Min,Ukjae Lee,Heereyoung Kim 한국방사성폐기물학회 2017 한국방사성폐기물학회 학술논문요약집 Vol.2017 No.05

INDUSTRIAL MATHEMATICS IN ULTRASOUND IMAGING

JAESEONG JANG,CHI YOUNG AHN 한국산업응용수학회 2016 Journal of the Korean Society for Industrial and A Vol.20 No.3

Ultrasound imaging is a widely used tool for visualizing human body’s internal organs and quantifying clinical parameters. Due to its advantages such as safety, noninvasiveness, portability, low cost and real-time 2D/3D imaging, diagnostic ultrasound industry has steadily grown. Since the technology advancements such as digital beam-forming, Doppler ultrasound, real-time 3D imaging and automated diagnosis techniques, there are still a lot of demands for image quality improvement, faster and accurate imaging, 3D color Doppler imaging and advanced functional imaging modes. In order to satisfy those demands, mathematics should be used properly and effectively in ultrasound imaging. Mathematics has been used commonly as mathematical modelling, numerical solutions and visualization, combined with science and engineering. In this article, we describe a brief history of ultrasound imaging, its basic principle, its applications in obstetrics/gynecology, cardiology and radiology, domestic-industrial products, contributions of mathematics and challenging issues in ultrasound imaging.

Development of adverse outcome pathway using toxicity data-based artificial intelligence

Jaeseong Jeong(정재성),Jinhee Choi(최진희) 환경독성보건학회 2021 한국독성학회 심포지움 및 학술발표회 Vol.2021 No.10

Development of Naringenin Riboswitches to Sense and Monitor in E. coli

Jaeseong HWANG,Sungyeon JANG,Sungho JANG,Gyoo Yeol JUNG 한국생물공학회 2018 한국생물공학회 학술대회 Vol.2018 No.4

Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network

Jaeseong Park(박재성),Kyungmo Ahn(안경모),Chanyeong Oh(오찬영),Yeon S. Chang(장연식) 한국해안해양공학회 2020 한국해안해양공학회 논문집 Vol.32 No.6

항해용 X-band 레이다를 이용한 파랑관측은 기존의 파랑관측 방법인 부이식 파고계, 압력식 파고계, 초음파식 파고계에 비해 많은 이점이 있다. 예를 들면 유실과 파손의 위험이 없고, 유지관리 비용이 적게 들며, 심해부터 천해까지 파랑의 공간적 분포를 알 수 있다. 본 논문에서는 레이다형 파고계의 유의파고 측정 정확도를 높이는 인공신경망을 이용한 알고리즘을 제시하였다. 레이다형 파고계에서 유의파고를 추정하는 전통적인 방법은 신호 대 잡음 비율(√SNR) 또는 신호 대 잡음 비율과 첨두주기(TP)를 이용하는 방법이 있다. 본 연구에서는 신호 대 잡음 비율, 첨두주기 및 레이다 이미지 해상도 비율(Rval > k)을 입력변수로 하는 인공신경망 알고리즘을 이용하여 유의파고 추정의 정확도를 향상시켰다. 개발된 알고리즘을 울진 후정해수욕장에서 초음파식 파고계로 측정한 유의파고의 시계열과 비교하여 정확도 향상을 확인하였다. Wave measurements using X-band radar have many advantages compared to other wave gauges including wave-rider buoy, P-u-v gauge and Acoustic Doppler Current Profiler (ADCP), etc.. For example, radar system has no risk of loss/damage in bad weather conditions, low maintenance cost, and provides spatial distribution of waves from deep to shallow water. This paper presents new methods for estimating significant wave heights of X-band marine radar images using Artificial Neural Network (ANN). We compared the time series of estimated significant wave heights (Hs) using various estimation methods, such as signal-to-noise ratio (√SNR ), both √SNR and the peak period (TP), and ANN with 3 parameters (√SNR, TP, and Rval > k). The estimated significant wave heights of the X-band images were compared with wave measurement using ADCP(AWC: Acoustic Wave and Current Profiler) at Hujeong Beach, Uljin, Korea. Estimation of Hs using ANN with 3 parameters (√SNR, TP, and Rval > k) yields best result.

Self-absorption Evaluation of HPGe Detector by Charging in Marinelli Beaker Using Monte Carlo Simulation

Jaeseong Min,Kwanhee Lee,Sangho Lee 한국방사성폐기물학회 2020 한국방사성폐기물학회 학술논문요약집 Vol.2020 No.07

Review of toxicity prediction studies using toxicity database

Jaeseong Jeong(정재성),Jinhee Choi(최진희) 환경독성보건학회 2021 한국독성학회 심포지움 및 학술발표회 Vol.2021 No.5

Recently, computational toxicology has emerged that predicts toxicity without conducting toxicity tests at all. This has become possible due to the rapid development of computer technology, and various computational toxicology techniques such as quantitative structure-activity relationship (QSAR) that predict toxicity based on the structure of chemical substances are attracting attention. Currently, research are underway to apply artificial intelligence techniques used to process big data in various fields to toxicology, mainly in scientifically advanced countries. The competition for the development of toxicity prediction models using artificial intelligence is accelerating, and techniques are becoming increasingly complex. To develop a toxicity prediction model using artificial intelligence and use it for regulation, it is necessary to understand the recent development. In this study, we analyze toxicity prediction studies using artificial intelligence techniques, and summarize artificial intelligence algorithms and prediction performance used in recent papers. We have analyzed over 70 papers published since 2014. Models have been developed to predict about 30 different toxicity endpoints using more than 20 toxicity databases. In the development of the model, MACCS fingerprint and random forest algorithms were used the most. The use of artificial intelligence techniques in the development of toxicity prediction models is a fairly new challenge, requiring active and diverse efforts toward a scientific accord and regulatory application. The comprehensive overview provided in this study could be used as a useful guide to further development and application of toxicity prediction models.