• Title/Summary/Keyword: Delay causes

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Differentially Expression Genes of Normal and Cloned Bovine Placenta

  • Kim, M.S.;Lee, Y.Y.;Park, J.J.;H.Y. Kang;Y.M. Chang;Yoon, J.T.;K.S. Min
    • Proceedings of the Korean Society of Developmental Biology Conference
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    • 2003.10a
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    • pp.82-82
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    • 2003
  • Offspring have been produced from somatic cells in a number of species. This biotechnology introduced a new phenomenon in reprogramming and differentiation of somatic cell, namely totipotency. However, birth of oversized calves and perinatal abnormalities such as increased gestation length, lack of spontaneous parturition, higher incidence of dystocia, and reduced perinatal viability of offspring are frequently observed in pregnancies of cloned bovine fetuses. Disturbance of feto-placenta has been proposed as likely causes for abnomal growth. However. Little is known the mechanism responsible for the perinatal problems. Therefore, we focused on gestation length in somatic cell nuclear recipient cows. To solve this issues, placental tissues of control and cloned bovine were obtained by a cesarean section (C-section) before 5 days of paturition. Total RNA from control and cloned bovine placenta was extractd by TRIzol reagent. GeneFishing DEG kits (Seegene) were used to identify differentially expression genes. Total RNA (3 ug) were synthesized by M-MLV reverse transcriptase (200 u/ul) with 10 uM dT-annealing control primer (ACP1) at 42C for 90 min. Then, first-strand cDNA (50 ng) was amplified using the 5 uM arbitary ACP (1-20) and 10 uM dT-ACP2 primers. Some specific expression genes were amplified, Now, we are cloning and sequencing. These finding strongly can be support to solve the problems for parturition delay in nuclear transfer cows, suggest that placenta specific proteins are key indicators for the aberration of gestation and placental function in cows.

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A Study on Predictive Modeling of I-131 Radioactivity Based on Machine Learning (머신러닝 기반 고용량 I-131의 용량 예측 모델에 관한 연구)

  • Yeon-Wook You;Chung-Wun Lee;Jung-Soo Kim
    • Journal of radiological science and technology
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    • v.46 no.2
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    • pp.131-139
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    • 2023
  • High-dose I-131 used for the treatment of thyroid cancer causes localized exposure among radiology technologists handling it. There is a delay between the calibration date and when the dose of I-131 is administered to a patient. Therefore, it is necessary to directly measure the radioactivity of the administered dose using a dose calibrator. In this study, we attempted to apply machine learning modeling to measured external dose rates from shielded I-131 in order to predict their radioactivity. External dose rates were measured at 1 m, 0.3 m, and 0.1 m distances from a shielded container with the I-131, with a total of 868 sets of measurements taken. For the modeling process, we utilized the hold-out method to partition the data with a 7:3 ratio (609 for the training set:259 for the test set). For the machine learning algorithms, we chose linear regression, decision tree, random forest and XGBoost. To evaluate the models, we calculated root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE) to evaluate accuracy and R2 to evaluate explanatory power. Evaluation results are as follows. Linear regression (RMSE 268.15, MSE 71901.87, MAE 231.68, R2 0.92), decision tree (RMSE 108.89, MSE 11856.92, MAE 19.24, R2 0.99), random forest (RMSE 8.89, MSE 79.10, MAE 6.55, R2 0.99), XGBoost (RMSE 10.21, MSE 104.22, MAE 7.68, R2 0.99). The random forest model achieved the highest predictive ability. Improving the model's performance in the future is expected to contribute to lowering exposure among radiology technologists.

Model Optimization for Supporting Spiking Neural Networks on FPGA Hardware (FPGA상에서 스파이킹 뉴럴 네트워크 지원을 위한 모델 최적화)

  • Kim, Seoyeon;Yun, Young-Sun;Hong, Jiman;Kim, Bongjae;Lee, Keon Myung;Jung, Jinman
    • Smart Media Journal
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    • v.11 no.2
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    • pp.70-76
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    • 2022
  • IoT application development using a cloud server causes problems such as data transmission and reception delay, network traffic, and cost for real-time processing support in network connected hardware. To solve this problem, edge cloud-based platforms can use neuromorphic hardware to enable fast data transfer. In this paper, we propose a model optimization method for supporting spiking neural networks on FPGA hardware. We focused on auto-adjusting network model parameters optimized for neuromorphic hardware. The proposed method performs optimization to show higher performance based on user requirements for accuracy. As a result of performance analysis, it satisfies all requirements of accuracy and showed higher performance in terms of expected execution time, unlike the naive method supported by the existing open source framework.

Design of Navigation Filter to Improve Tracking Performance in Radar with a Moving Platform (기동 플랫폼 탑재 레이다 추적 성능 향상을 위한 항법 필터 설계)

  • Hyeong-Jun Cho;Hyun-Wook Moon;Ji-Hoon An;Sung-Hwan Sohn
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.3
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    • pp.115-121
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    • 2024
  • As the radar mounted on a moving platform moves and rotates, the state of the radar's coordinate system also changes. At this time, in order to track target, the target's coordinates should be converted using the platform state measured from the sensor, and tracking performance may deteriorate due to causes such as sensor noise, communication delay, and sensor update cycle. In this paper, to minimize the degradation of tracking performance because of sensor error, we designed a navigation filter to estimate the state of the moving platform and analyzed the effect of improving tracking performance by applying the navigation filter through a simulation test. To design this navigation filter, three filter algorithms were applied and analyzed to confirm the effect of improving platform position and attitude performance for each filter, and the navigation filter designed by applying the highest performance filter algorithm was applied to a tracking simulation test. Finally we confirmed Improvement in tracking performance before and after applying navigation filters.

A MNDB Protocol for Reliable Directional Broadcast (지향성 브로드캐스트를 위한 MNDB 프로토콜)

  • Cha, Woo-Suk;Kim, Eun-Mi;Bae, Ho-Young;Lee, Bae-Ho;Cho, Gi-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.11 s.353
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    • pp.118-127
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    • 2006
  • The wireless transmission medium inherently broadcasts a signal to all neighbor nodes in the transmission range. Existing asynchronous MAC protocols do not provide a concrete solution for reliable broadcast in link layer. This mainly comes from that an omnidirectional broadcasting causes to reduce the network performance due to the explosive collisions and contentions. This paper proposes a directional broadcast protocol by using neighborhood information in the link layer based o,1 directional antennas, named MNDB (MAC protocol with Neighborhood for reliable Directional Broadcast). This protocol makes use of neighborhood information and DMACA (Directional Multiple Access and Collision Avoidance) scheme through 4-way handshake to support a reliable directional broadcast. To analyze its performance, MNDB protocol si compared with $RMDB^{[1]}$, the protocol 2 of reference [3], and IEEE 802.11 $protocol^{[9]}$, in terms of the number of collisions, the number of dropped packets, the number of redundant packets, and broadcast delay.

Clinical and genetic characteristics of Korean patients with IARS2-related disorders

  • Lee, Jin Sook;Kim, Man Jin;Kim, Soo Yeon;Lim, Byung Chan;Kim, Ki Joong;Choi, Murim;Seong, Moon-Woo;Chae, Jong-Hee
    • Journal of Genetic Medicine
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    • v.16 no.2
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    • pp.55-61
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    • 2019
  • Purpose: Genetic defects in the nuclear-encoded mitochondrial aminoacyl-tRNA synthetases were first identified as causes of various disorders in 2007. Variants in IARS2, which encodes a mitochondrial isoleucyl-tRNA synthetase, were first reported in 2014. These variants are associated with diverse phenotypes ranging from CAGSSS (CAtaracts, Growth hormone deficiency, Sensory neuropathy, Sensorineural hearing loss, and Skeletal dysplasia) and Leigh syndrome to isolated nonsyndromic cataracts. Here, we describe the phenotypic and genetic spectrum of Korean patients with IARS2-related disorders. Materials and Methods: Using whole-exome sequencing followed by Sanger sequencing, we identified five patients with IARS2 mutations. Their medical records and brain magnetic resonance images were reviewed retrospectively. Results: All five patients presented with developmental delay or regression before 18 months of age. Three patients had bilateral cataracts, but none had hearing loss or sensory neuropathy. No evidence of skeletal dysplasia was noted, but two had short stature. One patient had cardiomyopathy and another exhibited renal tubulopathy and hypoparathyroidism. Their brain imaging findings were consistent with Leigh syndrome. Interestingly, we found the recurrent mutations p.R817H and p.V105Dfs*7 in IARS2. Conclusion: To our knowledge, this is the first report of Korean patients with IARS2-related disorders. Our findings broaden the phenotypic and genotypic spectrum of IARS2-related disorders in Korea and will help to increase clinical awareness of IARS2-related neurodegenerative diseases.

Effect of Prunus mume Extract on Dongchimi Fermentation (매실농축액의 첨가가 동치미 발효 숙성에 미치는 영향)

  • Choi Moo Young;Oh Hae Sook;Park Hee Juhn
    • The Korean Journal of Community Living Science
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    • v.15 no.4
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    • pp.3-10
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    • 2004
  • The physicochemical and microbiological studies were conducted to examine the effect of Prunus mume extract on the Dongchimi fermentation. Dongchimi with the addition of various levels (0, 0.05, 01, 0.2 or 0.3%) of Prunus mume extract was fermented at $10^{\circ}C$ for 30 days. The pH of the product decreased in the course of fermentation and it was between 3.8~4.2 at 6~8 days fermentation. Total acidity was decreased by the addition of Prunus mume extract. A more rapid decrease in pH and an increase in total acidity were observed in the control Dongchimi than in that with added Prunus mume extract. The content of vitamin C increased for up to 10 days of fermentation and then gradually decreased. Reducing sugar content increased for up to 10 days, and the highest of sugar content was shown in the Dongchimi with 0.3% of added Prunus mume extract. As Prunus mume extract levels increased, the total viable cell number and the Lactobacillus cell number decreased. Dongchitni in which Prunus mume extract was added gained it,j optimum taste after 10 days of fermentation. The results of this study indicate that Prunus mume extract causes a delay in the fermentation of Dongchimi by slowing down pH drop and inhibiting the Lactobacillus cell growth.

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Malunion of the Jaw Fractures Complicated Following the Primary Managements (악골절 치료후 부정유합에 관한 임상적 연구)

  • Kim, Dae-Sung;Kim, Myung-Rae;Choi, Jang-Woo
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.25 no.4
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    • pp.356-360
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    • 1999
  • PURPOSE : This is to review the complicated jaw fractures that had been referred for revision of the unsatisfactory results, and to provide proper managements for the easily complicated jaw fractures. MATERIALS & METHODS : Twenty-nine patients who had been revised due to malunion or complicated fractures of facial bones for last 3 years were reviewed. The main problems required for revision, type of fractures complicated, the primary managements to be reclaimed, the specialties to be involved, the management to be reclaimed, time elapsed to seek reoperation, type of revision surgeries, residual complication were analysed with medical records, radiographs and final examinations. RESULTS: The major complaints were malocclusion(79.3%), facial disfigurement(41.3%), TMJ problems (13.7%), neurologic problems(10.3%), non-union(10.3%), and infection(6.8%). Unsatisfactory results were occurred most frequently after improper management of the multiple fractures of the mandible (62.2%), combined fractures of maxilla and mandible (20.6%), fracture of zygomatico-maxillary complex and midpalate (17.2%). The complications to be corrected were widened or collapsed dental arches (79.3%), improperly reduced condyles (41.3%), painful TMJ (34.4%), limited jaw excursion (31.0%), over-reduction of zygoma (13.7%), and nonunion with infection(13.7%). and dysesthesia (10.3%). The primary managements were nendereet by plastic surgeons in 82.7%(24/29) and by oral surgeons in 7.6%(2/29). Main causes of malunion are inadequate ORIF in 76%, unawareness & delay in 17%, and delayed due to systemic cares in 17%. 76% of 29 patients had been in state of intermaxillary fixation for over 4 weeks. Revision were done by means of "refracture and ORIF"in 48.2%(14/29), orthognathic osteotomies with bone grafts in 55.1%(16/29), and camouflage countering & alloplastic implantations in 37.9%(11/29), TMJ surgeries in 17.2%, micro-neurosurgeries in 11.6%. Residual complications were limited mouth opening in 24.1% (7/29), paresthesia in 13.7%, resorption of reduced condyle in 10.3%. CONCLUSIONS : Failure of initial treatment of jaw fractures is due to improper diagnosis and inadequate treatment with lack of sufficient knowledge of stomatognathic system. It is crucial to judge jaw fracture and patients accurately, moreover, the best way of treatments has to be selected. Consideration of these factors in treatment could minimize the complication of jaw fractures.

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INVESTIGATION OF RUNNING BEHAVIORS OF AN LPG SI ENGINE WITH OXYGEN-ENRICHED AIR DURING START/WARM-UP AND HOT IDLING

  • Xiao, G.;Qiao, X.;Li, G.;Huang, Z.;Li, L.
    • International Journal of Automotive Technology
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    • v.8 no.4
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    • pp.437-444
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    • 2007
  • This paper experimentally investigates the effects of oxygen-enriched air (OEA) on the running behaviors of an LPG SI engine during both start/warm-up (SW) and hot idling (HI) stages. The experiments were performed on an air-cooled, single-cylinder, 4-stroke, LPG SI engine with an electronic fuel injection system and an electrically-heated oxygen sensor. OEA containing 23% and 25% oxygen (by volume) was supplied for the experiments. The throttle position was fixed at that of idle condition. A fueling strategy was used as following: the fuel injection pulse width (FIPW) in the first cycle of injection was set 5.05 ms, and 2.6 ms in the subsequent cycles till the achieving of closed-loop control. In closed-loop mode, the FIPW was adjusted by the ECU in terms of the oxygen sensor feedback. Instantaneous engine speed, cylinder pressure, engine-out time-resolved HC, CO and NOx emissions and excess air coefficient (EAC) were measured and compared to the intake air baseline (ambient air, 21% oxygen). The results show that during SW stage, with the increase in the oxygen concentration in the intake air, the EAC of the mixture is much closer to the stoichiometric one and more oxygen is made available for oxidation, which results in evidently-improved combustion. The ignition in the first firing cycle starts earlier and peak pressure and maximum heat release rate both notably increase. The maximum engine speed is elevated and HC and CO emissions are reduced considerably. The percent reductions in HC emissions are about 48% and 68% in CO emissions about 52% and 78%; with 23% and 25% OEA, respectively, compared to ambient air. During HI stage, with OEA, the fuel amount per cycle increases due to closed-loop control, the engine speed rises, and speed stability is improved. The HC emissions notably decrease: about 60% and 80% with 23% and 25% OEA, respectively, compared to ambient air. The CO emissions remain at the same low level as with ambient air. During both SW and HI stages, intake air oxygen enrichment causes the delay of spark timing and the increased NOx emissions.

A Cross-Layer based Video Transmission Scheme using Efficient Bandwidth Estimation in IEEE 802.11e EDCA (IEEE 802.11e EDCA에서 효율적인 대역폭 측정을 통한 Cross-Layer 기반의 비디오 전송 기법)

  • Shin, Pil-Gyu;Lee, Sun-Hun;Chung, Kwang-Sue
    • Journal of KIISE:Information Networking
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    • v.35 no.3
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    • pp.173-182
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    • 2008
  • Promoting quality of streaming service in wireless networks has attracted intensive research over the years. Instable wireless channel condition causes high transmission delay and packet loss, due to fading and interference. Therefore, they lead to degrade quality of video streaming service. The IEEE 802.11 Working Group is currently working on a new standard called IEEE 802.11e to support quality of service in WLANs. And several schemes were proposed in order to guarantee QoS. However, they are not adaptable to network condition. Accordingly, they suffered video quality degradation, due to buffer overflow or packet loss. In this paper, to promote quality of video streaming service in WLANs, we propose a cross-layer architecture based on IEEE 802.11e EDCA model. Our cross-layer architecture provides differentiated transmission mechanism of IEEE 802.11e EDCA based on priority of MPEG-4 video frames and adaptively controls the transmission rate by dropping video frames through the efficient bandwidth estimation based on distinction of each AC. Through the simulation, proposed scheme is shown to be able to improve end-to-end qualify for video streaming service in WLANs.