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Outcome of 980 nm diode laser vaporization for benign prostatic hyperplasia: A prospective study

  • Mithani, M. Hammad;El Khalid, Salman;Khan, Shariq Anis;Sharif, Imran;Awan, Adnan Siddiq;Mithani, Shoaib;Majeed, Irfan
    • Investigative and Clinical Urology
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    • v.59 no.6
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    • pp.392-398
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    • 2018
  • Purpose: To evaluate the initial experience and outcome of photo-selective vaporization of the prostate (PVP) for benign prostatic hyperplasia (BPH) in Pakistan with the use of a 980 nm diode laser. Materials and Methods: A prospective study was performed from November 2016 to December 2017. A total of 100 patients diagnosed with bladder outlet obstruction secondary to BPH who planned for PVP were enrolled in the study. PVP was carried out with a diode laser at 980 nm (Biolitec Diode 180W laser) in a continuous wave with a 600 nm (twister) fiber. Baseline characteristics and perioperative data were compared. Postoperative outcomes were evaluated by International Prostate Symptom Score (IPSS), post void residual (PVR) and maximum urinary flow rate (Qmax) at 3 and 6 months after surgery. Results: The mean age was $65.82{\pm}10.42$, mean prostate size was $67.35{\pm}16.42$, operative time was $55.85{\pm}18.01$ and total energy was $198.68{\pm}49.12kJ$. At 3 months and 6 months, significant improvements were noted (p<0.001) in IPSS $7.04{\pm}1.69$ (-18.92), Qmax $19.22{\pm}4.75mL/s$ (+13.09) and and PVR $18.89{\pm}5.39mL$ (-112.80). Most frequent problems were burning micturition (35%) and terminal dysuria (29%). No significant difference in postoperative hemoglobin was seen in patients who were on anti-platelet drugs. Conclusions: PVP with a diode laser is a safe and effective procedure for the treatment of BPH and is also safe in patients who are on anti-platelet agents.

3D Reconstruction of Structure Fusion-Based on UAS and Terrestrial LiDAR (UAS 및 지상 LiDAR 융합기반 건축물의 3D 재현)

  • Han, Seung-Hee;Kang, Joon-Oh;Oh, Seong-Jong;Lee, Yong-Chang
    • Journal of Urban Science
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    • v.7 no.2
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    • pp.53-60
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    • 2018
  • Digital Twin is a technology that creates a photocopy of real-world objects on a computer and analyzes the past and present operational status by fusing the structure, context, and operation of various physical systems with property information, and predicts the future society's countermeasures. In particular, 3D rendering technology (UAS, LiDAR, GNSS, etc.) is a core technology in digital twin. so, the research and application are actively performed in the industry in recent years. However, UAS (Unmanned Aerial System) and LiDAR (Light Detection And Ranging) have to be solved by compensating blind spot which is not reconstructed according to the object shape. In addition, the terrestrial LiDAR can acquire the point cloud of the object more precisely and quickly at a short distance, but a blind spot is generated at the upper part of the object, thereby imposing restrictions on the forward digital twin modeling. The UAS is capable of modeling a specific range of objects with high accuracy by using high resolution images at low altitudes, and has the advantage of generating a high density point group based on SfM (Structure-from-Motion) image analysis technology. However, It is relatively far from the target LiDAR than the terrestrial LiDAR, and it takes time to analyze the image. In particular, it is necessary to reduce the accuracy of the side part and compensate the blind spot. By re-optimizing it after fusion with UAS and Terrestrial LiDAR, the residual error of each modeling method was compensated and the mutual correction result was obtained. The accuracy of fusion-based 3D model is less than 1cm and it is expected to be useful for digital twin construction.

Seismic damage mitigation of bridges with self-adaptive SMA-cable-based bearings

  • Zheng, Yue;Dong, You;Chen, Bo;Anwar, Ghazanfar Ali
    • Smart Structures and Systems
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    • v.24 no.1
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    • pp.127-139
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    • 2019
  • Residual drifts after an earthquake can incur huge repair costs and might need to replace the infrastructure because of its non-reparability. Proper functioning of bridges is also essential in the aftermath of an earthquake. In order to mitigate pounding and unseating damage of bridges subjected to earthquakes, a self-adaptive Ni-Ti shape memory alloy (SMA)-cable-based frictional sliding bearing (SMAFSB) is proposed considering self-adaptive centering, high energy dissipation, better fatigue, and corrosion resistance from SMA-cable component. The developed novel bearing is associated with the properties of modularity, replaceability, and earthquake isolation capacity, which could reduce the repair time and increase the resilience of highway bridges. To evaluate the super-elasticity of the SMA-cable, pseudo-static tests and numerical simulation on the SMA-cable specimens with a diameter of 7 mm are conducted and one dimensional (1D) constitutive hysteretic model of the SMAFSB is developed considering the effects of gap, self-centering, and high energy dissipation. Two types of the SMAFSB (i.e., movable and fixed SMAFSBs) are applied to a two-span continuous reinforced concrete (RC) bridge. The seismic vulnerabilities of the RC bridge, utilizing movable SMAFSB with the constant gap size of 60 mm and the fixed SMAFSBs with different gap sizes (e.g., 0, 30, and 60 mm), are assessed at component and system levels, respectively. It can be observed that the fixed SMAFSB with a gap of 30 mm gained the most retrofitting effect among the three cases.

Pathway enrichment and protein interaction network analysis for milk yield, fat yield and age at first calving in a Thai multibreed dairy population

  • Laodim, Thawee;Elzo, Mauricio A.;Koonawootrittriron, Skorn;Suwanasopee, Thanathip;Jattawa, Danai
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.4
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    • pp.508-518
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    • 2019
  • Objective: This research aimed to determine biological pathways and protein-protein interaction (PPI) networks for 305-d milk yield (MY), 305-d fat yield (FY), and age at first calving (AFC) in the Thai multibreed dairy population. Methods: Genotypic information contained 75,776 imputed and actual single nucleotide polymorphisms (SNP) from 2,661 animals. Single-step genomic best linear unbiased predictions were utilized to estimate SNP genetic variances for MY, FY, and AFC. Fixed effects included herd-year-season, breed regression and heterosis regression effects. Random effects were animal additive genetic and residual. Individual SNP explaining at least 0.001% of the genetic variance for each trait were used to identify nearby genes in the National Center for Biotechnology Information database. Pathway enrichment analysis was performed. The PPI of genes were identified and visualized of the PPI network. Results: Identified genes were involved in 16 enriched pathways related to MY, FY, and AFC. Most genes had two or more connections with other genes in the PPI network. Genes associated with MY, FY, and AFC based on the biological pathways and PPI were primarily involved in cellular processes. The percent of the genetic variance explained by genes in enriched pathways (303) was 2.63% for MY, 2.59% for FY, and 2.49% for AFC. Genes in the PPI network (265) explained 2.28% of the genetic variance for MY, 2.26% for FY, and 2.12% for AFC. Conclusion: These sets of SNP associated with genes in the set enriched pathways and the PPI network could be used as genomic selection targets in the Thai multibreed dairy population. This study should be continued both in this and other populations subject to a variety of environmental conditions because predicted SNP values will likely differ across populations subject to different environmental conditions and changes over time.

Clinical Significance of Radical Surgery in the Treatment of Silent Corticotroph Adenoma

  • Kim, Junhyung;Yoon, Seon Jin;Moon, Ju Hyung;Ku, Cheol Ryong;Kim, Se Hoon;Lee, Eun Jig;Kim, Sun Ho;Kim, Eui Hyun
    • Journal of Korean Neurosurgical Society
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    • v.62 no.1
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    • pp.114-122
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    • 2019
  • Objective : Silent corticotroph adenomas (SCA) are endocrine-inactive pituitary adenomas with positive immunohistochemistry staining for adrenocorticotropic hormone (ACTH). We investigated whether SCA-associated clinical profiles were more aggressive than hormonally negative adenomas (HNA). Methods : Among 627 patients with pathologically proven endocrine-inactive pituitary adenomas between 2004 and 2013, positive immunohistochemistry revealed 55 SCAs and 411 HNAs. Surgical outcomes and radiological and endocrinological characteristics were compared. Results : Strong female predominance was observed in the SCA group (p<0.001). Cavernous sinus invasion was identified in 22 (40%) SCA patients and 72 (17.6%) HNA patients (p<0.001). There were no differences in ACTH or cortisol levels between the two groups. The incidence of preoperative hypopituitarism and postoperative hormonal outcome did not differ between two groups. Total resection was achieved in 35 patients (63.7%) with SCA and 332 patients (80.8%) with HNA (p=0.007). When tumors were completely removed, recurrence rates were not statistically different between two groups (p=0.60). When complete resection was not achieved, tumors regrew from these remnants in seven patients (35.0%) with SCA and 12 patients (15.2%) with HNA (p=0.05). Conclusion : Total surgical resection for SCA is often challenging as these tumors frequently invade a cavernous sinus. Early remnant tumor intervention is justified, because untreated residual pituitary tumors regrow when patients were followed up for a long time. Prophylactic radiotherapy is not warranted for completely resected SCAs as tumor recurrence is uncommon.

Kernel Regression Model based Gas Turbine Rotor Vibration Signal Abnormal State Analysis (커널회귀 모델기반 가스터빈 축진동 신호이상 분석)

  • Kim, Yeonwhan;Kim, Donghwan;Park, SunHwi
    • KEPCO Journal on Electric Power and Energy
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    • v.4 no.2
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    • pp.101-105
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    • 2018
  • In this paper, the kernel regression model is applied for the case study of gas turbine abnormal state analysis. In addition to vibration analysis at the remote site, the kernel regression model technique can is useful for analyzing abnormal state of rotor vibration signals of gas turbine in power plant. In monitoring based on data-driven techniques correlated measurements, the fault free training data of shaft vibration obtained during normal operations of gas turbine are used to develop a empirical model based on auto-associative kernel regression. This data-driven model can be used to predict virtual measurements, which are compared with real-time data, generating residuals. Any faults in the system may cause statistically abnormal changes in these residuals and could be detected. As the result, the kernel regression model provides information that can distinguish anomalies such as sensor failure in a shaft vibration signal.

Salt Distiller With Mesh-covered Crucible for Electrorefiner Uranium Deposits

  • Kwon, S.W.;Lee, Y.S.;Kang, H.B.;Jung, J.H.;Chang, J.H.;Kim, S.H.;Lee, S.J.
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2017.05a
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    • pp.83-83
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    • 2017
  • Electrorefining is a key step in pyroprocessing. The electrorefining process is generally composed of two recovery steps - the deposit of uranium onto a solid cathode and the recovery of the remaining uranium and TRU elements simultaneously by a liquid cadmium cathode. The solid cathode processing is necessary to separate the salt from the cathode since the uranium deposit in a solid cathode contains electrolyte salt. Distillation process was employed for the cathode processing. It is very important to increase the throughput of the salt separation system due to the high uranium content of spent nuclear fuel and high salt fraction of uranium dendrites. In this study, a mesh-covered crucible was investigated for the sat distillation of electrorefiner uranium deposits. A liquid salt separation step and a vacuum distillation step were combined for salt separation. The adhered salt in uranium deposits was efficiently removed in the mesh-covered crucible. The salt distiller was operated simply since repeated cooling - heating step was not necessary for the change of the crucible. The operation time could be reduced by the use of the mesh-covered crucible and the combined operation of the two steps. A method to preserve a vacuum level was proposed by double O-rings during the operation of the distiller with the mesh-covered crucible. After the salt distillation, the salt content was measured and was below 0.1wt% after the salt distillation. The residual salt after the salt distillation can be removed further during melting of uranium metal.

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Comparison of Residue Patterns for Systemic and Non-systemic Pesticides in Strawberry (딸기 중 침투성 및 비침투성 농약에 따른 잔류특성 연구)

  • You, Jung-Sun;Gwak, Hye-Min;Chang, Hee-Ra
    • Korean Journal of Environmental Agriculture
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    • v.39 no.4
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    • pp.305-311
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    • 2020
  • BACKGROUND: The healthy food trend has encouraged the consumption of natural products, including berries. This trend is expected to increase the strawberry consumption. There has been a concern about the exposure of pesticides approved for use on strawberry. In this study, the dissipation patterns of systemic and non-systemic pesticides were evaluated in strawberry under plastic-covered greenhouse conditions. METHODS AND RESULTS: Cyflumetofen and dimethomorph were applied on strawberry in the critical GAP (Good Agricultural Practices). Strawberries were harvested at 0, 1, 2, 3, 5, 7 and 10 days after final application of the pesticides. The analyses of the residual pesticides were performed by HPLC-DAD with C18 column. The limits of quantitation (LOQ) of cyflumetofen and dimethomorph were 0.04 and 0.02 mg/kg, respectively. The recovery of cyflumetofen and dimethomorph were 88.1 ~ 103.3% and 79.0 ~ 110.2% for the spiked two levels (LOQ and 10LOQ), respectively. The biological half-lives of cyflumetofen and dimethomorph werer 7.5 and 8.9 days, respectively. The dissipation rates in strawberry were calculated by the statistics method at a 95% confidence level. The distribution showed that pesticides with low log Pow were indicated by the decreased dissipation rate and pesticides with similar log Pow and low solubility also showed the decreased dissipation rate. CONCLUSION: The residues of cyflumetofen and dimethomorph in strawberry at time 0 after the final application were below the established MRL in Korea. The dissipation behavior of systemic and non-systemic pesticides in strawberry is affected by their log Pow and water solubility values.

Deep Learning based Raw Audio Signal Bandwidth Extension System (딥러닝 기반 음향 신호 대역 확장 시스템)

  • Kim, Yun-Su;Seok, Jong-Won
    • Journal of IKEEE
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    • v.24 no.4
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    • pp.1122-1128
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    • 2020
  • Bandwidth Extension refers to restoring and expanding a narrow band signal(NB) that is damaged or damaged in the encoding and decoding process due to the lack of channel capacity or the characteristics of the codec installed in the mobile communication device. It means converting to a wideband signal(WB). Bandwidth extension research mainly focuses on voice signals and converts high bands into frequency domains, such as SBR (Spectral Band Replication) and IGF (Intelligent Gap Filling), and restores disappeared or damaged high bands based on complex feature extraction processes. In this paper, we propose a model that outputs an bandwidth extended signal based on an autoencoder among deep learning models, using the residual connection of one-dimensional convolutional neural networks (CNN), the bandwidth is extended by inputting a time domain signal of a certain length without complicated pre-processing. In addition, it was confirmed that the damaged high band can be restored even by training on a dataset containing various types of sound sources including music that is not limited to the speech.

A Brief Review on Polarization Switching Kinetics in Fluorite-structured Ferroelectrics (플루오라이트 구조 강유전체 박막의 분극 반전 동역학 리뷰)

  • Kim, Se Hyun;Park, Keun Hyeong;Lee, Eun Been;Yu, Geun Taek;Lee, Dong Hyun;Yang, Kun;Park, Ju Yong;Park, Min Hyuk
    • Journal of Surface Science and Engineering
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    • v.53 no.6
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    • pp.330-342
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    • 2020
  • Since the original report on ferroelectricity in Si-doped HfO2 in 2011, fluorite-structured ferroelectrics have attracted increasing interest due to their scalability, established deposition techniques including atomic layer deposition, and compatibility with the complementary-metal-oxide-semiconductor technology. Especially, the emerging fluorite-structured ferroelectrics are considered promising for the next-generation semiconductor devices such as storage class memories, memory-logic hybrid devices, and neuromorphic computing devices. For achieving the practical semiconductor devices, understanding polarization switching kinetics in fluorite-structured ferroelectrics is an urgent task. To understand the polarization switching kinetics and domain dynamics in this emerging ferroelectric materials, various classical models such as Kolmogorov-Avrami-Ishibashi model, nucleation limited switching model, inhomogeneous field mechanism model, and Du-Chen model have been applied to the fluorite-structured ferroelectrics. However, the polarization switching kinetics of fluorite-structured ferroelectrics are reported to be strongly affected by various nonideal factors such as nanoscale polymorphism, strong effect of defects such as oxygen vacancies and residual impurities, and polycrystallinity with a weak texture. Moreover, some important parameters for polarization switching kinetics and domain dynamics including activation field, domain wall velocity, and switching time distribution have been reported quantitatively different from conventional ferroelectrics such as perovskite-structured ferroelectrics. In this focused review, therefore, the polarization switching kinetics of fluorite-structured ferroelectrics are comprehensively reviewed based on the available literature.