• Title/Summary/Keyword: multiple sites

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A Dynamic Job Relocation Strategy Considering Application's Characteristics in Multiple Grid Sites (다중 그리드 사이트에서 어플리케이션 특성을 고려한 동적 작업 재배치 정책)

  • Ryu, Kyung-Hoo;Lee, Woo-Joo;Jeon, Chang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.4
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    • pp.31-37
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    • 2008
  • In this paper, we propose a dynamic job relocation strategy that considering application's characteristics in multiple grid sites. This scheme classifies application to execute in multiple grid sites by their characteristics : computing intensive application, network intensive application. Also, it eliminates the communication between sites by allocating the network intensive application in single site, thus reducing the total job execution time. But if a number of free nodes to execute the network intensive application aren't found in single site, the proposed scheme the first allocates the network intensive application in multiple sites to minimize network latency. Then if the network intensive application being executed in multiple sites suitable free nodes are found in single site. the proposed scheme relocates the application being executed in multiple sites to another single site. This results in reducing the total job execution time. Through simulation, we show that the proposed dynamic job reallocation strategy improves the performance of Data Grid environment compared with previous strategies.

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A Suggestion for Worker Feature Extraction and Multiple-Object Tracking Method in Apartment Construction Sites (아파트 건설 현장 작업자 특징 추출 및 다중 객체 추적 방법 제안)

  • Kang, Kyung-Su;Cho, Young-Woon;Ryu, Han-Guk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.05a
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    • pp.40-41
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    • 2021
  • The construction industry has the highest occupational accidents/injuries among all industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. Therefore, this study proposed to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple-object tracking with instance segmentation. To evaluate the system's performance, we utilized the MS COCO and MOT challenge metrics. These results present that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

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Prognostic Relevance of Recurrent Sites of Gastric Cancer Treated With Curative Resection: A Single Center Retrospective Study

  • Masato Hayashi;Takeshi Fujita;Hisayuki Matsushita
    • Journal of Gastric Cancer
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    • v.24 no.3
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    • pp.291-299
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    • 2024
  • Purpose: Gastric cancer treated with curative resection exhibits several recurrence patterns. The peritoneum is the most common site of recurrence. Some reports have indicated different prognostic influences according to the recurrence sites in other cancers, such as esophageal and colorectal cancers. This study investigated whether the recurrence sites influenced the prognosis of patients with recurrent gastric cancer. Materials and Methods: The data of 115 patients who experienced tumor recurrence after curative gastrectomy were retrospectively reviewed. The sites of recurrence were divided into 4 groups: lymph node (LN), peritoneum, other single organs, and multiple lesions. Clinicopathological features were compared between the sites of recurrence. Prognosis after resection and recurrence were also compared. Results: The peritoneum was the primary site of recurrence in 38 patients (33%). The tumor differentiation and pathological stages were significantly different. Survival after surgery did not show a statistically significant difference (hazard ratio [HR] of LN: 1, peritoneum: 1.083, other single organs: 1.025, and multiple lesions: 1.058; P=1.00). Survival after recurrence was significantly different (HR of LN, 1; peritoneum, 2.164; other single organs, 1.092; multiple lesions, 1.554; P=0.01), and patients with peritoneal and multiple lesion recurrences had worse prognosis. Furthermore, peritoneal recurrence seemed to occur later than that at other sites; the median times to recurrence in LN, peritoneal, other single-organ, and multiple lesions were 265, 722, 372, and 325 days, respectively. Conclusions: The sites of gastric cancer recurrence may have different prognostic effects. Peritoneal recurrence may be less sensitive to chemotherapy and occur during the late phase of recurrence.

Prediction of Mammalian MicroRNA Targets - Comparative Genomics Approach with Longer 3' UTR Databases

  • Nam, Seungyoon;Kim, Young-Kook;Kim, Pora;Kim, V. Narry;Shin, Seokmin;Lee, Sanghyuk
    • Genomics & Informatics
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    • v.3 no.3
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    • pp.53-62
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    • 2005
  • MicroRNAs play an important role in regulating gene expression, but their target identification is a difficult task due to their short length and imperfect complementarity. Burge and coworkers developed a program called TargetScan that allowed imperfect complementarity and established a procedure favoring targets with multiple binding sites conserved in multiple organisms. We improved their algorithm in two major aspects - (i) using well-defined UTR (untranslated region) database, (ii) examining the extent of conservation inside the 3' UTR specifically. Average length in our UTR database, based on the ECgene annotation, is more than twice longer than the Ensembl. Then, TargetScan was used to identify putative binding sites. The extent of conservation varies significantly inside the 3' UTR. We used the 'tight' tracks in the UCSC genome browser to select the conserved binding sites in multiple species. By combining the longer 3' UTR data, TargetScan, and tightly conserved blocks of genomic DNA, we identified 107 putative target genes with multiple binding sites conserved in multiple species, of which 85 putative targets are novel.

Prediction of Protein Kinase Specific Phosphorylation Sites with Multiple SVMs

  • Lee, Won-Chul;Kim, Dong-Sup
    • Bioinformatics and Biosystems
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    • v.2 no.1
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    • pp.28-32
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    • 2007
  • The protein phosphorylation is one of the important processes in the cell signaling pathway. A variety of protein kinase families are involved in this process, and each kinase family phosphorylates different kinds of substrate proteins. Many methods to predict the kinase-specific phosphoryrated sites or different types of phosphorylated residues (Serine/Threonine or Tyrosin) have been developed. We employed Supprot Vector Machine (SVM) to attempt the prediction of protein kinase specific phosphorylation sites. 10 different kinds of protein kinase families (PKA, PKC, CK2, CDK, CaM-KII, PKB, MAPK, EGFR) were considered in this study. We defined 9 residues around a phosphorylated residue as a deterministic instance from which protein kinases determine whether they act on. The subsets of PSI-BALST profile was converted to the numerical vectors to represent positive or negative instances. When SVM training, We took advantage of multiple SVMs because of the unbalanced training sets. Representative negative instances were drawn multiple times, and generated new traing sets with the same positive instances in the original traing set. When testing, the final decisions were made by the votes of those multiple SVMs. Generally, RBF kernel was used for the SVMs, and several parameters such as gamma and cost factor were tested. Our approach achieved more than 90% specificity throughout the protein kinase families, while the sensitivities recorded 60% on average.

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Prediction of phosphorylation sites using multiple kernel learning (다중 커널 학습을 이용한 단백질의 인산화 부위 예측)

  • Kim, Jong-Kyoung;Choi, Seung-Jin
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10b
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    • pp.22-27
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    • 2007
  • Phosphorylation is one of the most important post translational modifications which regulate the activity of proteins. The problem of predicting phosphorylation sites is the first step of understanding various biological processes that initiate the actual function of proteins in each signaling pathway. Although many prediction methods using single or multiple features extracted from protein sequences have been proposed, systematic data integration approach has not been applied in order to improve the accuracy of predicting general phosphorylation sites. In this paper, we propose an optimal way of integrating multiple features in the framework of multiple kernel learning. We optimally combine seven kernels extracted from sequence, physico-chemical properties, pairwise alignment, and structural information. Using the data set of Phospho. ELM, the accuracy evaluated by 5-fold cross-validation reaches 85% for serine, 85% for threonine, and 81% for tyrosine. Our computational experiments show significant improvement in the performance of prediction relative to a single feature, or to the combined feature with equal weights. Moreover, our systematic integration method significantly improves the prediction preformance compared with the previous well-known methods.

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Critical Multiple Correlation Coefficient for Improving Mean and Variance in Augmenting Hydrologic Samples

  • Heo, Jun-Haeng
    • Korean Journal of Hydrosciences
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    • v.6
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    • pp.13-22
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    • 1995
  • The augmenting hydrologic data using a correlation procedure has been used to improve the estimates of the mean and variance at the site of interest with short record when one or more near by sites with longer records are available. The variance of the unbiased maximum likelihood estimator of $ derived by Moran based on the multivariate normal distribytion is modified into the form of Matalas and Jacobs for the biveriate normal distribution to get the critical minimum values of the multiple correlation coefficient which give the improvement for estimating the variance at the site of interest. Those values are tabulated for various lengths of short records and the number of sites.

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A clinical review of reconstructive techniques for patients with multiple skin cancers on the face

  • Kim, Geon Woo;Bae, Yong Chan;Bae, Sung Hwan;Nam, Su Bong;Lee, Dong Min
    • Archives of Craniofacial Surgery
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    • v.19 no.3
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    • pp.194-199
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    • 2018
  • Background: Cases of simultaneous multiple skin cancers in a single patient have become more common. Due to the multiplicity of lesions, reconstruction in such cases is more difficult than after a single lesion is removed. This study presents a series of patients with multiple facial skin cancers, with an analysis of the surgical removal, reconstruction process, and the results observed during follow-up. Methods: We reviewed 12 patients diagnosed with multiple skin cancers on the face between November 2004 and March 2016. The patients' medical records were retrospectively reviewed to identify the type of skin cancer, the site of onset, methods of surgical removal and reconstruction, complications, and recurrence during follow-up. Results: Nine patients had a single type of cancer occurring as multiple lesions, while three patients had different skin cancer types that occurred together. A total of 30 cancer sites were observed in the 12 patients. The most common cancer site was the nose. Thirteen defects were reconstructed with a flap, while 18 were reconstructed with skin grafting. The only complication was one case of recurrence of basal cell carcinoma. Conclusion: Multiple skin cancers are removed by performing Mohs micrographic surgery or wide excision, resulting in multiple defect sites. The authors emphasize the importance of thoroughly evaluating local lesions surrounding the initially-identified lesions or on other sites when reconstructing a large defect which can not be covered by primary closure. Furthermore, satisfactory results can be obtained by using various methods simultaneously regarding the condition of individual patients, the defect site and size, and the surgeon's preference.

Retrospective clinical study of multiple keratocystic odontogenic tumors in non-syndromic patients

  • Hwang, Dae-Seok;Kim, Yun-Ho;Kim, Uk-Kyu;Ryu, Mi-Heon;Kim, Gyoo-Cheon
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.44 no.3
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    • pp.107-111
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    • 2018
  • Objectives: A keratocystic odontogenic tumor (KOT) is a type of odontogenic tumor that mainly occurs in the posterior mandible. Most KOTs appear as solitary lesions; however, they sometimes occur as multiple cysts. This study analyzed the clinical features of multiple KOTs. Materials and Methods: The participants were diagnosed with KOT by biopsy with multiple surgical sites, and were patients at the Pusan National University Hospital and the Pusan National University Dental Hospital from January 1, 2005 to March 31, 2016. Charts, records, images and other findings were reviewed. Results: A total of 31 operations were conducted in 17 patients. The mean patient age was $28.4{\pm}20.1years$. Multiple KOTs were found to occur at a young age (P<0.01). The predominant sites were in the posterior mandible (28.6%). Most cases of multiple lesions appeared in both the upper and lower jaw, and 40.3% of lesions were associated with unerupted and impacted teeth. The overall recurrence rate measured by operation site was 10.4% (8/77 sites). No patients were associated with nevoid basal cell carcinoma syndrome. Conclusion: The pure recurrence rate was lower than estimated, but there was a higher possibility of secondary lesions regardless of the previous operation site; therefore, long-term follow-up is necessary.

ORGAN DOSE, EFFECTIVE DOSE AND RISK ASSESSMENT FROM COMPUTED TOMOGRAPHY TO HEAD AND NECK REGION (두경부 전산화 단층촬영시의 주요 장기선량, 유효선량 및 위험도)

  • Kim Ae-Jj;Cho Bong-Hae;Nah Kyung-Soo
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.25 no.1
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    • pp.27-38
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    • 1995
  • The organ or tissue doses were determined with head and neck phantom measurement for multiple axial scans (36 slices), multiple coronal scans (13 slices), 3 types of single axial scans(orbit, maxillary sinus and mandibular canal) and single coronal scan (maxillary sinus). For each scan sequence 30 TLDs were placed in selected sites(16 internal sites and 14 external sites) in a tissue-equivalent phantom. The exposure was made at 120kVp, 500mAs with 5 mm slice width. The results were as follows : 1. In multiple axial scans, the greatest effective dose recorded was that delivered to the thyroid glands(2.77 mSv) and the least was that received by the skin(0.05 mSv). From these data, stochastic effects were 202.2x10/sup -6/ and 3.7×10/sup -6/, respectively. 2. In multiple coronal scans, the greatest effective dose recorded was that delivered to the salivary glands(0.58 mSv) and the least was that received by the skin(0.01 mSv). From these data, stochastic effects were 42.2×10/sup -6/ and 0.7×10/sup -6/, repectively. 3. Among single axial scans, the greatest effective dose recorded was that delivered to the salivary gland(0.38 mSv) in maxillary sinus scan. From this data, stochastic effect was 27.7×10/sup -6/. 4. In single coronal scan, the greatest effective dose recorded was that delivered to the salivary gland(0.01 mSv). From this data, stochastic effect was 1.0×10/sup -6/. 5. The equivalent dose measured that delivered to the lens of the eyes was 69.64 mSv in multiple axial scan, 39.32 mSv in multiple coronal scan and 36.77 mSv in single axial scan(orbit).

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