• Title/Summary/Keyword: Lead extraction

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What should be done for men with sperm DNA fragmentation?

  • Kim, Gi Young
    • Clinical and Experimental Reproductive Medicine
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    • v.45 no.3
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    • pp.101-109
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    • 2018
  • In an age when a small quantity of sperm can lead to pregnancy through in vitro fertilization or intracytoplasmic sperm injection, selecting healthy sperm is important. Sperm DNA fragmentation (SDF) is known to be higher in infertile men. Terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick end labeling (TUNEL) and the alkaline comet test are SDF tests that directly measure DNA damage and have shown closer correlations with assisted reproduction results than indirect tools such as the sperm chromatin structure assay or the sperm chromatic dispersion test. It is difficult; however, to endorse a single test as the best test overall; instead, it is best to select a testing method based on each patient's clinical condition and goals. In a couple struggling with infertility, if the male partner has a high level of SDF, he should aim to decrease SDF through lifestyle modifications, antioxidant treatment, and ensuring an appropriate duration of abstinence, and physicians need to treat the underlying diseases of such patients. If sperm DNA damage continues despite the patient's and physician's efforts, other methods, such as micromanipulation-based sperm selection or testicular sperm extraction, should be used to select healthy sperm with nuclear DNA integrity.

A Study on the Development and Effect of Smart Manufacturing System in PCB Line

  • Sim, Hyun Sik
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.181-188
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    • 2019
  • A production system is a management system that supports all activities to perform production operations at the manufacturing site. From the point-of-view of a smart factory, smart manufacturing systems redesigned the concept of onsite production systems to fit the entire system and its necessary functional composition. In this study, we select the key functions needed to build a smart factory for a PCB line and propose a new six-step model for the deployment of a smart manufacturing system by integrating essential functions. The smart manufacturing system newly classified the production and operation tasks of PCB manufacturing and selected necessary functions through requirement analysis and benchmarking of advanced companies. The selected production operation tasks are mapped to the functions of the system and configured into seven modules, and the optimal deployment model is presented to allow flexible responses to the characteristics of the tasks. These methodologies are first presented in this study, and the proposed model was applied to the PCB line to confirm that they had significant changes in the work method, qualitative effects, and quantitative effects. Typically, lead time and WIP have reduced by about 50%.

Community Development and Economic Welfare through the Village Fund Policy

  • UDJIANTO, Djoko;HAKIM, Abdul;DOMAI, Tjahjanulin;SURYADI, Suryadi;HAYAT, H.
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.563-572
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    • 2021
  • This study aims to investigate the implementation of village fund (VF) policy in Indonesia by addressing the following issues: (1) what is the VF policy; (2) factors that support and hinder policy implementation; (3) impact of policy implementation; and (4) model for implementing village fund policies that can improve community welfare. Through a descriptive qualitative-based approach, several indicators are measured, namely, the substance of implementing rules, the results of project implementation, supporting and inhibiting factors for policies, participation factors, and the impact generated by village fund policies, which include social and economic effects. The extraction of this information and indicators will lead this study to produce ideal models and propositions for quantitative confirmatory research as a future research agenda. This study was conducted in two villages (Mojomulyo and Tambakromo) in Pati District, Central Java, Indonesia. Data collection model using interviews and observations from all actors who play a role (e.g., village government, village supervisory agency, and community). The study results show that policies have been implemented by normative rules; there are several supporting and inhibiting factors both internal and external. The study results also confirm the relevance of the articulated theory and some comprehensive input to our study.

Cloth Product Recognition based on Siamese Network with Body Region Extraction method

  • Budiman, Sutanto Edward;Kurniawan, Edwin;Lee, Seung Heon;Lee, Jae Seung;Lee, Suk-Ho
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.128-134
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    • 2022
  • Nowadays, people consume a lot of content such as web dramas or K-pop videos through mobile devices such as smartphones, and the market for indirect advertisements through these web dramas or K-pop videos is also increasing every year. In order to lead to the immediate purchase of indirect products in web dramas, a system that allows consumers to purchase immediately at the time the products appear in the drama is needed. In this paper, we propose a system to allow viewers to purchase products worn by celebrities immediately when viewers see and click on them. When a user clicks on a video, it recognizes the product worn by the celebrity, and displays information on the screen on the most similar product corresponding to the recognized product, allowing them to go to the seller's site where they can purchase it. In order for such a system to operate stably, a pose estimation and siamese network-based system is proposed. The proposed system will primarily be released as a streaming service in the form of an app or web page that connects the products in web dramas or other K-pop video contents screened on the mobile with e-commerce. Furthermore, in the future, the technology is expected to be used globally in various industries such as smart mobility and display kiosks.

Development of a Gas Sensor System with Built-in Low-power Signal Extraction Technique (저전력 신호 추출 기법이 내장된 가스 센서 시스템 개발)

  • Jang-Su Hyeon;Hyeon-June Kim
    • Journal of Sensor Science and Technology
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    • v.32 no.2
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    • pp.105-109
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    • 2023
  • In this study, we present a power-efficient driving method for gas sensor systems based on the analysis of input signal characteristics. The analysis of the gas sensor output signal characteristics in the frequency domain shows that most of the signal portions are distributed in a relatively low frequency region when extracting the gas sensor signal, which can lead to further performance improvement of the gas sensor system. Therefore, the proposed gas signal extracting technique changes the operating frequency of the read-out circuit based on the frequency characteristics of the output signal of the gas sensor, resulting in a reduction of power consumption at the whole system level. The proposed sensing technique, which can be applied to a general-purpose commercial gas sensor system, was implemented in a printed circuit board (PCB) to verify its effectiveness at the commercial level.

Sleep apnea detection from a single-lead ECG signal with GAF transform feature-extraction through deep learning (GAF 변환을 사용한 딥 러닝 기반 단일 리드 ECG 신호에서의 수면 무호흡 감지)

  • Zhou, Yu;Lee, Seungeun;Kang, Kyungtae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.57-58
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    • 2022
  • Sleep apnea (SA) is a common chronic sleep disorder that disrupts breathing during sleep. Clinically, the standard for diagnosing SA involves nocturnal polysomnography (PSG). However, this requires expert human intervention and considerable time, which limits the availability of SA diagnoses in public health sectors. Therefore, ECG-based methods for SA detection have been proposed to automate the PSG procedure and reduce its discomfort. We propose a preprocessing method to convert the one-dimensional time series of ECG into two-dimensional images using the Gramian Angular Field (GAF) algorithm, extract temporal features, and use a two-dimensional convolutional neural network for classification. The results of this study demonstrated that the proposed method can perform SA detection with specificity, sensitivity, accuracy, and area under the curve (AUC) of 88.89%, 81.50%, 86.11%, and 0.85, respectively. Our experimental results show that SA is successfully classified by extracting preprocessing transforms with temporal features.

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Radiographic Bone Density Around Immediately Placed Titanium Implant on the Extraction Socket of Diabetic and Insulin-Treated Rat Maxilla (당뇨쥐 상악에서 발치후 즉시 식립 임플란트 주위골의 방사선 골밀도)

  • Park, Kun-Hyun;Park, Su-Hyun;Lee, Sung-Hwy;Pyo, Sung-Woon
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.32 no.5
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    • pp.389-395
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    • 2010
  • Purpose: Although it is generally accepted that patients with controlled diabetes have similar rates of success for dental implants as healthy individuals, the use of dental implants in diabetic patients is controversial. In addition, the impact of diabetes on the healing of bone associated with immediately place dental implants is not completely understood. The purpose of this study was to measure bone response to implants radiologically in uncontrolled and insulin-controlled diabetic rats. Materials and Methods: Twenty rats were divided into control, insulin-treated and diabetic groups. The rats received streptozotocin (60 mg/kg) to induce diabetes; animals in the insulin-treated group also received three units of subcutaneous slow-release insulin. Two titanium implants ($1.2{\times}3$ mm) were placed in the extraction socket of the maxillary first molars of the animals and were harvested at 3 days, 1, 2 and 4 weeks. The bone density was measured by digital radiography using gray-level analysis (histogram) in the regions of interest (ROI) at four points: two mesial and two distal to both sides of the implant. Results: The results showed that the osseointegration of the implants was impaired in the diabetic rats compared to the control and the insulin-treated rats. The radiographic evidence demonstrated marked destruction of bone around the implants in the diabetic group. Both the control and the insulin-treated groups had a significantly higher bone density on radiograph than the diabetic group from the 1 week of the experiment (P<0.05 for each comparison). Conclusion: The present study revealed that the immediate placement of titanium implants in the maxilla of diabetic rat lead to delay in the maturation of bone adjacent to implants. It is expected that the reduced predictability of success of immediate implantation in patient with the uncontrolled diabetes.

CLINICAL STUDY OF MAXILLARY ANTERIOR SUPERNUMERARY TEETH (상악 전치부 과잉치 외과적 발거에 관한 임상적 연구)

  • Song, Woo-Sik;Kim, In-Kwon;Lee, Sang-Hyun;Lee, Wan-Kee
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.27 no.1
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    • pp.46-53
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    • 2001
  • The prevalence of supernumerary teeth is between $1{\sim}3%$. Of these, $90{\sim}98%$ occur in the maxilla with particular predilection for the premaxilla, preceded by mandibular third premolars, mandibular forth molars and maxillary paramolars. The most common ones occur in the maxillary anterior region, they may occur singly between the central incisors(mesiodens), or they may be double(mesiodentes). Maxillary anterior supernumeraries may erupt into the oral cavity or remain unerupted. It is found that approximately 25% are erupted, while the rest are unerupted. They are usually a small tooth with a cone-shaped crown and a short root. They may cause delayed eruption, median diastema, bodily displacement or rotation of the adjacent permanent teeth. Occasionally they may lead to the developement of dentigerous cyst or primordial cyst, or eruption into nasal cavity. In this study, 109 supernumeraries surgically extracted from premaxilla in 84 patients are analysed. The results are as follows : 1. Sex distribution of male and female is 2.2 : 1. 2. Almost cases are in pediatric age from 5 to 12 years old (87%). 3. Problems with supernumeraries are tooth malpositon, diastema, delayed eruption, eruption to nasal cavity and cyst formation. 4. Of 109 supernumeraries, 16(15%) are erupted into oral cavity, 92(84%) are impacted, and 1(1%) is erupted into nasal cavity. 5. Of 84 patients, 59(70%) have one supernumeray while 25(30%) have two supernumeraries. 6. Of 109 supernumeraries, 96(88%) are found within the region of the central incisors. 7. Of 109 supernumeraries, 94(86%) are vertically impacted, 11(10%) are horizontally impacted, 3(3%) are labiopalatally impacted and 1(1%) is impacted in nasal cavity. 8. Of 84 patients, we used palatal flap in 67(80%), labial flap in 6(7%), both flaps in 4(5%) and no flap in 7(8%). And incisive nerve was cut in 33(49%) of 67 palatal flaps. 9. Extration with ostectomy was done in 72 supernumeraries(66%), without ostectomy in 37 teeth(34%). 10. Extraction with tooth sectioning was done in 21 supernumeraries(19%), without tooth sectioning was done in 88 teeth(81%). 11. We used local anesthesia in 70 patients(83%) and general anesthesia in 14 ones(17%).

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Development of a Raspberry Pi-based Banknote Recognition System for the Visually Impaired (시각장애인을 위한 라즈베리 파이 기반 지폐 인식기 개발)

  • Lee, Jiwan;Ahn, Jihoo;Lee, Ki Yong
    • The Journal of Society for e-Business Studies
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    • v.23 no.2
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    • pp.21-31
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    • 2018
  • Korean banknotes are similar in size, and their braille tend to worn out as they get old. These characteristics of Korean banknotes make the blind people, who mainly rely on the braille, even harder to distinguish the banknotes. Not only that, this can even lead to economic loss. There are already existing systems for recognizing the banknotes, but they don't support Korean banknotes. Furthermore, because they are developed as a mobile application, it is not easy for the blind people to use the system. Therefore, in this paper, we develop a Raspberry Pi-based banknote recognition system that not only recognizes the Korean banknotes but also are easily accessible by the blind people. Our system starts recognition with a very simple action of the user, and the blind people can hear the recognition results by sound. In order to choose the best feature extraction algorithm that directly affects the performance of the system, we compare the performance of SIFT, SURF, and ORB, which are representative feature extraction algorithms at present, in real environments. Through experiments in various real environments, we adopted SIFT to implement our system, which showed the highest accuracy of 95%.

Environmental Contamination and Best Management of Stone-dust from Quarry Mine (석산개발에 따른 주변 환경오염 및 석분토 처리를 위한 연구)

  • Lee, Pyeong-Koo;Youm, Seung-Jun;Kang, Min-Ju
    • Economic and Environmental Geology
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    • v.43 no.4
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    • pp.315-332
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    • 2010
  • All of the water and stone-dust samples with or without flocculant, in and around quarry mines, were analyzed for total concentrations of heavy metals, cyanide(CN), toxic organic compounds and organic phosphorus. Extraction experiments on stone-dust by EDTA and various pH solutions were also carried out, in order to evaluate the contaminant leaching from the long-term heaped stone-dust within quarry mines. The concentrations of $Cr^{6+}$, Hg, CN, TCE/PCE and total phosphorus in all samples (water and stone-dust) were under detection limits, confirming no environmental contamination from stone-dust in quarry mine areas. Lead and cadmium were not detected in all water samples. Copper and zinc were found in some water samples, and arsenic was detected in a few water samples. But they also showed levels much lower than the drinking water standard. Results of the extraction experiments by EDTA and pH solutions showed that Pb, Cr, Cd, Cu and Zn were leached out in less amounts or under detection limits. Arsenic was detected only at pH 3. From above results, we suggested that environmental contamination by quarry mine development is likely to be minor or negligible.