• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.10
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• pp.4678-4702
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• 2018

Traffic Matrix estimation has always caught attention from researchers for better network management and future planning. With the advent of high traffic loads due to Cloud Computing platforms and Software Defined Networking based tunable routing and traffic management algorithms on the Internet, it is more necessary as ever to be able to predict current and future traffic volumes on the network. For large networks such origin-destination traffic prediction problem takes the form of a large under- constrained and under-determined system of equations with a dynamic measurement matrix. Previously, the researchers had relied on the assumption that the measurement (routing) matrix is stationary due to which the schemes are not suitable for modern software defined networks. In this work, we present our Compressed Sensing with Dynamic Model Estimation (CS-DME) architecture suitable for modern software defined networks. Our main contributions are: (1) we formulate an approach in which measurement matrix in the compressed sensing scheme can be accurately and dynamically estimated through a reformulation of the problem based on traffic demands. (2) We show that the problem formulation using a dynamic measurement matrix based on instantaneous traffic demands may be used instead of a stationary binary routing matrix which is more suitable to modern Software Defined Networks that are constantly evolving in terms of routing by inspection of its Eigen Spectrum using two real world datasets. (3) We also show that linking this compressed measurement matrix dynamically with the measured parameters can lead to acceptable estimation of Origin Destination (OD) Traffic flows with marginally poor results with other state-of-art schemes relying on fixed measurement matrices. (4) Furthermore, using this compressed reformulated problem, a new strategy for selection of vantage points for most efficient traffic matrix estimation is also presented through a secondary compression technique based on subset of link measurements. Experimental evaluation of proposed technique using real world datasets Abilene and GEANT shows that the technique is practical to be used in modern software defined networks. Further, the performance of the scheme is compared with recent state of the art techniques proposed in research literature.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.5-18
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• 2010

Library and information research is often directed towards either the management of resources (e.g., the economics of resource management), their storage and retrieval (e.g., much information retrieval research), and the users of these resources (the whole area of information behaviour. However, the question that is less often asked is, "What research do librarians want to have carried out to help them in their work?" Clearly, some of the topics just mentioned will fall into the priority areas, but what do librarians actually perceive will be of use to them. There is a notion that a research-practice gap exists in the field and perhaps the reason for that is that researchers do not ask the practioners what research will be of value to them. To find an answer to this question on a global basis would, of course, be impossible - at least impossible without the level of funding that would be difficult to obtain from any source. However, it is possible to carry out research on a national level that could prove useful both to practitioners and to the library and information research community. This was the aim of a project, supported by the Svensk Biblioteksf$\"{o}$rening (Swedish Library Association), which was carried out in 2008/2009. Ideas on potential research projects were collected from librarians themselves, from discussion group archives and from the professional journals in a number of countries. These ideas were then grouped thematically and formed the basis of two rounds of a Delphi process to solicit the opinions of a panel of librarians in different sectors, recommended by their peers as 'expert' in their field. The Delphi process was concluded with a workshop involving a subset of the panel. This paper will report on the results of the investigation, which attracted a great deal of interest within the profession in Sweden, and will also reflect on issues that were ranked lowly in the investigation. For example, not a great deal of priority was given to topics relating to the development and use of technology: why was this? And would the same result be found in other countries? One major area of research interest was into the future of libraries and a topic of relevance here, especially for academic and research libraries, is the changing information behaviour of researchers: what, now, do researchers want of libraries? Clearly, technology is playing a role here, but digitized resources and the World Wide Web may not be the answer to every researcher's need. Research into libraries and research for libraries ought to figure largely in the profession's view of its aims, objectives and visions of the future: but for it to do so requires a recognition that the work will not be done unless researchers and practitioners come together to determine how to approach the future.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.27-40
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• 2020

In this paper, we investigate the correlation between the amount of English sentences that Korean English learners (L2ers) are exposed to and their sentence processing patterns by examining what Long Short-Term Memory (LSTM) language models (LMs) can learn about implicit syntactic relationship: that is, the filler-gap dependency. The filler-gap dependency refers to a relationship between a (wh-)filler, which is a wh-phrase like 'what' or 'who' overtly in clause-peripheral position, and its gap in clause-internal position, which is an invisible, empty syntactic position to be filled by the (wh-)filler for proper interpretation. Here to implement L2ers' English learning, we build LSTM LMs that in turn learn a subset of the known restrictions on the filler-gap dependency from English sentences in the L2 corpus that L2ers can potentially encounter in their English learning. Examining LSTM LMs' behaviors on controlled sentences designed with the filler-gap dependency, we show the characteristics of L2ers' sentence processing using the information-theoretic metric of surprisal that quantifies violations of the filler-gap dependency or wh-licensing interaction effects. Furthermore, comparing L2ers' LMs with native speakers' LM in light of processing the filler-gap dependency, we not only note that in their sentence processing both L2ers' LM and native speakers' LM can track abstract syntactic structures involved in the filler-gap dependency, but also show using linear mixed-effects regression models that there exist significant differences between them in processing such a dependency.

• Journal of Ginseng Research
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• v.35 no.4
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• pp.471-478
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• 2011

Ginseng, the root of Panax ginseng, is one of the oldest herbal medicines. It has a variety of physiological and pharmacological effects. Recently, we isolated a subset of glycolipoproteins that we designated gintonin, and demonstrated that it induced transient change in intracellular calcium concentration $([Ca^{2+}]_i)$ in cells via G-protein-coupled receptor signaling pathway(s). The previous method for gintonin isolation included multiple steps using methanol, butanol, and other organic solvents. In the present study, we developed a much simple method for the preparation of gintonin from ginseng root using 80% ethanol extraction. The extracted fraction was designated edible gintonin. This method produced a high yield of gintonin (0.20%). The chemical characteristics of gintonin such as molecular weight and the composition of the extract product were almost identical as the gintonin prepared using the previous extraction regimen involving various organic solvents. We also examined the physiological effects of edible gintonin on endogenous $Ca^{2+}$-activated $Cl^-$ channel activity of Xenopus oocytes. The 50% effective dose was $1.03{\pm}0.3\;{\mu}g$/mL. Finally, since gintonin preparation through ethanol extraction is easily reproducible, gintonin could be commercially applied for ginseng-derived functional health food and/or drug following the confirmations of in vitro and in vivo physiological and pharmacological effects of gintonin.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.249-254
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• 2016

Molecular detection methods such as RT-PCR for detecting breast cancer-associated gene expression in the peripheral blood have the potential to modify breast cancer (BC) staging and therapy. In this regard, we evaluated the potential of erb-B2 molecular marker in BC detection and analyzed the expression of erb-B2 mRNA in the peripheral blood and fresh tissue samples of 50 pretreated female BC patients and 50 healthy females by reverse transcription-PCR (RT-PCR) method. We also assessed the correlation of erb-B2 mRNA marker positivity in peripheral blood and tumor tissue samples with clinical and pathological factors in BC patients in order to evaluate its prognostic value. It was shown that there is a significant difference between healthy females and BC patients with expression of the erb-B2 molecular marker (p<0.01). A significant difference between the expression of erb-B2 in the peripheral blood and tissue samples of BC patients (p<0.01) and the frequency of circulating erb-B2 mRNA expression in peripheral blood and in tissue was detected by RT-PCR. No correlation was found between erb-B2 mRNA expression in blood or tumor tissue samples and lymph node, tumor grade, tumor stage, tumor size, patient's age, ki67, estrogen receptor (ER), progesterone receptor (PGR), P53, and HER-2 status. However, in a small subset of 31 BC patients we found that expression of erb-B2 in peripheral blood or in both peripheral blood and tumor tissue was directly correlated with lympho-vascular invasion and perineural invasion as poor prognostic features. The highest rates of erb-B2 expression in peripheral blood or tumor tissue were in the ER and PR negative and HER-2 positive group. This study suggests that the application of the RT-PCR and immunohistochemical methods for erb-B2 molecular marker detection would provide a higher detection rate, especially in early stage BC.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2083-2087
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• 2014

Colorectal cancers remain to be a common cause of cancer-related death. Early-onset cases as well as those of various ethnic origins have aggressive clinical features, the basis of which requires further exploration. The aim of this work was to examine the expression patterns of $p15^{INK4b}$ and SMAD4 in colorectal carcinoma of different ethnic origins. Fifty-five sporadic colorectal carcinoma of Egyptian origin, 25 of which were early onset, and 54 cancers of Finnish origin were immunohistochemically stained with antibodies against $p15^{INK4b}$ and SMAD4 proteins. Data were compared to the methylation status of the $p15^{INK4b}$ gene promotor. $p15^{INK4b}$ was totally lost or deficient (lost in ${\geq}50%$ of tumor cell) in 47/55 (85%) tumors of Egyptian origin as compared to 6/50 (12%) tumors of Finnish origin (p=7e-15). In the Egyptian cases with $p15^{INK4b}$ loss and available $p15^{INK4b}$ promotor methylation status, 89% of cases which lost $p15^{INK4b}$ expression were associated with $p15^{INK4b}$ gene promotor hypermethylation. SMAD4 was lost or deficient in 25/54 (46%) tumors of Egyptian origin and 28/48 (58%) tumors of Finnish origin. 22/54 (41%) Egyptian tumors showed combined loss/deficiency of both $p15^{INK4b}$ and SMAD4, while $p15^{INK4b}$ was selectively lost/deficient with positive SMAD4 expression in 24/54 (44%) tumors. Loss of $p15^{INK4b}$ was associated with older age at presentation (>50 years) in the Egyptian tumors (p=0.04). These data show for the first time that $p15^{INK4b}$ loss of expression marks a subset of colorectal cancers and ethnic origin may play a role in this selection. In a substantial number of cases, the loss was independent of SMAD4 but rather associated with $p15^{INK4b}$ gene promotor hypermethylation and old age which could be related to different environmental exposures.

• Journal of Nutrition and Health
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• v.46 no.4
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• pp.307-314
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• 2013

Resveratrol (RSV) exerts several beneficial effects on metabolism and metaflammation-related diseases, including diabetes and non-alcoholic fatty liver disease (NAFLD). The purpose of this study is to investigate whether RSV affects pathophysiology of diabetes and NAFLD as well as hepatic autophagy in a rodent model of diet induced obesity (DIO). DIO was induced in a subset of C57BL/6J mice fed a high fat (HF, 45% kcal fat) diet. After six weeks of HF diet treatment, RSV (8 mg/kg/day) was administered via an osmotic pump for a period of four weeks. Therefore, the experimental groups were as follows: 1) lean control (CON), 2) HF diet-induced obese control (HF), and 3) HF_RSV. Body weight and food intake were monitored daily. Fasting glucose, insulin, and adiponectin in serum and lipid profiles in serum and liver were analyzed. In addition, the autophagic process was investigated using transmission electron microscopy (TEM). Body weight and food intake were not affected by RSV treatment. Impaired glucose control accompanied by DIO was recovered with RSV as shown by lower levels of fasting serum glucose and insulin when compared with HF obese controls. In addition, RSV treatment resulted in increased levels of serum adiponectin, however, indices of lipid profile in serum and livers were reduced. Results of TEM analysis showed that a HF diet induced excessive autophagy with the presence of double-membrane autophagosomes, which was ameliorated by RSV. The regulatory effect of RSV on autophagy was confirmed by the altered LC3-II formation, which increased with a HF diet and was decreased by RSV treatment. These results suggest that RSV treatment improves glucose control and lipid profile and these beneficial effects may be mediated by an altered autophagic process.

• Progress in Medical Physics
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• v.26 no.1
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• pp.18-27
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• 2015

Since a Compton camera has high detection sensitivity due to electronic collimation and a good energy resolution, it is a potential imaging system for nuclear medicine. In this study, we investigated the feasibility of a Compton camera for multi-tracer imaging and proposed a rotating Compton camera to satisfy Orlov's condition for 3D imaging. Two software phantoms of 140 and 511 keV radiation sources were used for Monte-Carlo simulation and then the simulation data were reconstructed by listmode ordered subset expectation maximization to evaluate the capability of multi-tracer imaging in a Compton camera. And the Compton camera rotating around the object was proposed and tested with different rotation angle steps for improving the limited coverage of the fixed conventional Compton camera over the field-of-view in terms of histogram of angles in spherical coordinates. The simulation data showed the separate 140 and 511 keV images from simultaneous multi-tracer detection in both 2D and 3D imaging and the number of valid projection lines on the conical surfaces was inversely proportional to the decrease of rotation angle. Considering computation load and proper number of projection lines on the conical surface, the rotation angle of 30 degree was sufficient for 3D imaging of the Compton camera in terms of 26 min of computation time and 5 million of detected event number and the increased detection time can be solved with multiple Compton camera system. The Compton camera proposed in this study can be effective system for multi-tracer imaging and is a potential system for development of various disease diagnosis and therapy approaches.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4523-4530
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• 2011

This study aimed to evaluate the effects of stretching management on musculoskeletal joint pain in community indwelling elderly farmers. The study included 28 residents who lived in a rural community. All participants were assigned randomly to either the stretching group (n=13, $59.67{\pm}4.77$ year-old) or the control group (n=15, $61.44{\pm}10.41$ year-old). Respondents were interviewed by means of a structured questionnaire. Pain severity of 6 body areas caused by symptoms of work-related musculoskeletal disorders and pain severity on day time variations were measured by the visual analogue scale on a self-assessed questionnaire. The stretching group was administered stretching therapy (45 min, 2 sets, warming up and cool down, main exercise; total 19 stretching kinds of subset 5 fields) for 12 times for 4 weeks. There were no significant difference between the two groups in general social and pain characteristics. After 4 weeks of stretching, the stretching group showed significant improvements at almost all joint pain scores except arm/elbow, and day time variation scores of pain compared to both baseline scores, and with control group scores. These results showed that stretching therapy is one of the most useful modalities to manage musculoskeletal pain in community-based elderly farmers.

• Journal of KIISE
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• v.42 no.4
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• pp.504-511
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• 2015

Recently, the amount of data is rapidly increasing with the popularity of the SNS and the development of mobile technology. So, it has been actively studied for the effective data analysis schemes of the large amounts of data. One of the typical schemes is a Voronoi diagram based on kNN join algorithm (VkNN-join) using MapReduce. For two datasets R and S, VkNN-join can reduce the time of the join query processing involving big data because it selects the corresponding subset Sj for each Ri and processes the query with them. However, VkNN-join requires a high computational cost for constructing the Voronoi diagram. Moreover, the computational overhead of the VkNN-join is high because the number of the candidate cells increases as the value of the k increases. In order to solve these problems, we propose a MapReduce-based kNN-join query processing algorithm for analyzing the large amounts of data. Using the seed-based dynamic partitioning, our algorithm can reduce the overhead for constructing the index structure. Also, it can reduce the computational overhead to find the candidate partitions by selecting corresponding partitions with the average distance between two seeds. We show that our algorithm has better performance than the existing scheme in terms of the query processing time.