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Kim Haeng Jun,Park Jong-Chan,Jung Keum Sim,Kim Jiyeong,Jang Ji Sung,Kwon Sunghoon,Byun Min Soo,Yi Dahyun,Byeon Gihwan,Jung Gijung,Kim Yu Kyeong,Lee Dong Young,Han Sun-Ho,Mook-Jung Inhee 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-
Alzheimer’s disease (AD) is the leading cause of dementia, and many studies have focused on finding effective blood biomarkers for the accurate diagnosis of this disease. Predicting cerebral amyloid deposition is considered the key for AD diagnosis because a cerebral amyloid deposition is the hallmark of AD pathogenesis. Previously, blood biomarkers were discovered to predict cerebral amyloid deposition, and further efforts have been made to increase their sensitivity and specificity. In this study, we analyzed blood-test factors (BTFs) that can be commonly measured in medical health check-ups from 149 participants with cognitively normal, 87 patients with mild cognitive impairment, and 64 patients with clinically diagnosed AD dementia with brain amyloid imaging data available. We demonstrated that four factors among regular health check-up blood tests, cortisol, triglyceride/high-density lipoprotein cholesterol ratio, alanine aminotransferase, and free triiodothyronine, showed either a significant difference by or correlation with cerebral amyloid deposition. Furthermore, we made a prediction model for Pittsburgh compound B-positron emission tomography positivity, using BTFs and the previously discovered blood biomarkers, the QPLEX TM Alz plus assay kit biomarker panel, and the area under the curve was significantly increased up to 0.845% with 69.4% sensitivity and 90.6% specificity. These results show that BTFs could be used as co-biomarkers and that a highly advanced prediction model for amyloid plaque deposition could be achieved by the combinational use of diverse biomarkers.
Lee Dongjoon,Park Jong-Chan,Jung Keum Sim,Kim Jiyeong,Jang Ji Sung,Kwon Sunghoon,Byun Min Soo,Yi Dahyun,Byeon Gihwan,Jung Gijung,Kim Yu Kyeong,Lee Dong Young,Han Sun-Ho,Mook-Jung Inhee 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
The deposition of beta-amyloid (Aβ) in the brain precedes the onset of symptoms such as cognitive impairment in Alzheimer’s disease (AD); therefore, the early detection of Aβ accumulation is crucial. We previously reported the applicability of the QPLEXTM Alz plus assay kit for the prescreening of Aβ accumulation. Here, we tested the specific application of the kit in a large cohort of cognitively normal (CN) individuals of varying ages for the early detection of Aβ accumulation. We included a total of 221 CN participants with or without brain Aβ. The QPLEXTM biomarkers were characterized based on age groups (1st–3rd tertile) and across various brain regions with cerebral amyloid deposition. The 3rd tertile group (>65 years) was found to be the most suitable age group for the application of our assay kit. Receiver operating characteristic curve analysis showed that the area under the curve (AUC, discrimination power) was 0.878 with 69.7% sensitivity and 98.4% specificity in the 3rd tertile group. Additionally, specific correlations between biomarkers and cerebral amyloid deposition in four different brain regions revealed an overall correlation with general amyloid deposition, consistent with previous findings. Furthermore, the combinational panel with plasma Aβ1–42 levels maximized the discrimination efficiency and achieved an AUC of 0.921 with 95.7% sensitivity and 67.3% specificity. Thus, we suggest that the QPLEXTM Alz plus assay is useful for prescreening brain Aβ levels in CN individuals, especially those aged >65 years, to prevent disease progression via the early detection of disease initiation.
Modelling of suspended sediment in a weir reach using EFDC model
Pak, Gijung,Mallari, Kristine Joy B.,Baek, Jongrak,Kim, Deokwoo,Kim, Hwansuk,Jung, Minjae,Kim, Young,Yoon, Jaeyoung IWA Publishing 2016 Water Science & Technology Vol.73 No.7
<P>Construction of hydraulic structures often leads to alteration of river dynamics and water quality. Suspended solids entering the upstream of the weir cause adverse effects to the hydroecological system and, therefore, it is necessary to build a modelling system to predict the changes in the river characteristics for proper water quality management. In this study, the discharges and total suspended solids upstream and downstream of the Baekje Weir installed in Geum River, Korea, was modelled using the environmental fluid dynamics code (EFDC) model. The resulting trend of four rainfall events shows that as rainfall increases, the total suspended solids (TSS) concentration increases as well. For the two larger events, at the upstream of the weir, TSS was observed to decrease or remain constant after the rainfall event depending on the lowering of the open gate. At the downstream, TSS supply was controlled by the weir during and after the rainfall event resulting in decline in the TSS concentration. The modelling produced good results for discharge based on % Diff. (4.37-6.35), Nash-Sutcliffe efficiency (NSE) (0.94-0.99) and correlation coefficient (r) (0.97-0.99) values as well as for TSS with acceptable values for % Diff. (12.08-14.11), NSE (0.75-0.81) and r (0.88-0.91), suggesting good applicability of the model for the weir reach of the river in the study site.</P>
MIMO-OFDM 기반 SDR 시스템을 위한 효율적인 FFT 프로세서 설계
양기정(Gijung Yang),정윤호(Yunho Jung) 大韓電子工學會 2009 電子工學會論文誌-SD (Semiconductor and devices) Vol.46 No.12
본 논문에서는 MIMO-OFDM 기반의 SDR 시스템을 위한 효율적인 FFT 구조를 제안한다. 제안한 scalable FFT/IFFT 프로세서는 64/128/512/1024/2048-point FFT 연산을 가변적으로 수행할 수 있다. 또한 mixed radix (MR) 기법과 multi-path delay commutator (MDC) 구조를 사용하여 비단순 승산을 줄임으로써 기존의 설계 구조에 비해 시스템 수율 변화 없이 하드웨어 복잡도를 크게 감소시켰다. 제안된 scalable FFT/IFFT 프로세서는 하드웨어 설계 언어 (HDL)를 이용하여 설계 되었고, 0.18㎛ CMOS 스탠다드 셀 라이브러리를 이용하여 논리 합성되었다. 논리합성 결과 4채널 radix-2 single-path delay feed-back (R2SDF) FFT 프로세서와 비교시 59% 감소된 게이트 수와 39% 감소된 메모리로 구현 가능함을 확인하였고, 4채널 radix-2 MDC (R2MDC) FFT 프로세서와 비교시 16.4% 감소된 게이트 수와 26.8% 감소된 메모리로 구현 가능함을 확인하였다. In this paper, an area-efficient FFT processor is proposed for MIMO-OFDM based SDR systems. The proposed scalable FFT processor can support the variable length of 64, 128, 512, 1024 and 2048. By reducing the required number of non-trivial multipliers with mixed-radix (MR) and multi-path delay commutator (MDC) architecture, the complexity of the proposed FFT processor is dramatically decreased without sacrificing system throughput The proposed FFT processor was designed in hardware description language (HDL) and synthesized to gate-level circuits using 0.18㎛ CMOS standard cell library. With the proposed architecture, the gate count for the processor is 46K and the size of memory is 64Kbits, which are reduced by 59% and 39%, respectively, compared with those of the 4-channel radix-2 single-path delay feedback (R2SDF) FFT processor. Also, compared with 4-channel radix-2 MDC (R2MDC) FFT processor, it is confirmed that the gate count and memory size are reduced by 16.4% and 26.8, respectively.
Balance Deficit and Brain Connectivity in Children with Attention-Deficit/Hyperactivity Disorder
SunMi Kim,GiJung Hyun,TaeWoon Jung,YoungDon Son,InHee Cho,BaikSeok Kee,DougHyun Han 대한신경정신의학회 2017 PSYCHIATRY INVESTIGATION Vol.14 No.4
Objective-We aimed to assess disturbances in postural and gait balance and functional connectivity within the brain regions controlling balance in children with attention-deficit/hyperactivity disorder (ADHD). Methods-Thirteen children with ADHD and 13 age- and sex-matched controls were recruited. Gait balance was assessed by the difference in the center of pressure (COP) between the left and right foot, as well as the difference in plantar pressure between the left and right foot during gait. Neuroimaging data were acquired using a 3.0 Tesla MRI scanner. Functional connectivity between the vermis of the cerebellum and all other brain regionswas assessed. Results-The difference in plantar pressure between the left foot and right foot in the ADHD group was greater than that observed in the control group. The average COP jerk score of the right foot in the ADHD group was higher than that observed in the control group. A higher functional connectivity between the cerebellum and the right middle frontal gyrus (premotor cortex) and medial frontal gyrus (cingulate gyrus) was observed in the control group relative to the ADHD group. In the ADHD group, the difference in plantar pressure between the left and right foot was also negatively correlated with the beta-value within the middle frontal gyrus. Conclusion-Children with ADHD had disturbance of balance as assessed by plantar pressure. Decreased brain connectivity from the cerebellum to the premotor cortex and anterior cingulate was associated with disturbances of posture and balance in children with ADHD.