• Asian Pacific Journal of Cancer Prevention
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• v.13 no.7
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• pp.3209-3212
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• 2012

Introduction: Colorectal carcinoma (CRC) is the most common gastrointestinal malignancy in the older population, but it is also quite frequent among young adults in developing countries. The aim of this study was to update the trends of clinicopathological features of CRC in young Nepalese. Methods: A retrospective comparative study on the data retrieved from the surgical records of all patients between 20 to 39 years of age with CRC was carried out for periods of 5 years each from 1999 to 2003 (early) and 2004 to 2008 (recent), treated at Tribhuvan University Teaching Hospital, Kathmandu, Nepal. Results: The number of young adults with CRC increased from 28 to 34. However, the proportion of young patients in both groups was 28% of all CRC patients. The mean ages were $34{\pm}4.7$ and $31.8{\pm}5.1$ years in early and recent 5 years, respectively, and the male female ratio changed from 2:3 to 4:3. Abdominal pain as the most common presenting symptom was replaced by bleeding per rectum in recent years. The mean duration from onset of symptoms to seeking medical advice decreased from 7.8 months to 5.6 months in recent years. More patients (85.3%) were subjected to endoscopic examination in recent years than early years (60.7%) and right colonic cancer increased from 10.7% to 26.5%. However, the rectum was the commonest site in both early (71.4%) and recent (50%) groups. CRC was detected significantly at an earlier stage (7.1% vs 32.4%) in recent years with large proportion of modified Dukes B stage. Poorly differentiated adenocarcinoma was the predominant histology in both groups (50% vs 60.7%). Curative resection had risen in recent years (39.3% vs 73.6%). Conclusion: CRC among Nepalese young adults accounts for a high incidence (28%) of all CRC cases. Although right sided colonic cancer has been increasing, rectum is the commonest site. There is also an increasing trend for diagnosis at earlier stages of the disease which can be treated with curative intent.

• Tuberculosis and Respiratory Diseases
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• v.79 no.2
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• pp.53-57
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• 2016

Severe sepsis or septic shock is characterized by an excessive inflammatory response to infectious pathogens. Acute respiratory distress syndrome (ARDS) is a devastating complication of severe sepsis, from which patients have high mortality. Advances in treatment modalities including lung protective ventilation, prone positioning, use of neuromuscular blockade, and extracorporeal membrane oxygenation, have improved the outcome over recent decades, nevertheless, the mortality rate still remains high. Timely treatment of underlying sepsis and early identification of patients at risk of ARDS can help to decrease its development. In addition, further studies are needed regarding pathogenesis and novel therapies in order to show promising future treatments of sepsis-induced ARDS.

• Clinical and Experimental Pediatrics
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• v.59 no.11
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• pp.432-439
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• 2016

Asthma is recognized as a complex disease resulting from interactions between multiple genetic and environmental factors. Accumulating evidence suggests that respiratory viral infections in early life constitute a major environmental risk factor for the development of childhood asthma. Respiratory viral infections have also been recognized as the most common cause of asthma exacerbation. The advent of molecular diagnostics to detect respiratory viruses has provided new insights into the role of human rhinovirus (HRV) infections in the pathogenesis of asthma. However, it is still unclear whether HRV infections cause asthma or if wheezing with HRV infection is simply a predictor of childhood asthma. Recent clinical and experimental studies have identified plausible pathways by which HRV infection could cause asthma, particularly in a susceptible host, and exacerbate disease. Airway epithelial cells, the primary site of infection and replication of HRV, play a key role in these processes. Details regarding the role of genetic factors, including ORMDL3, are beginning to emerge. This review discusses recent clinical and experimental evidence for the role of HRV infection in the development and exacerbation of childhood asthma and the potential underlying mechanisms that have been proposed.

• Clinics in Shoulder and Elbow
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• v.20 no.3
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• pp.172-179
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• 2017

Indications of reverse total shoulder arthroplasty (RTSA) have been consistently extended by technical advancements in reverse arthroplasty prosthesis, continuous development of the implants, accumulated experiences and its successful treatment outcomes; accordingly, its use has rapidly increased. RTSA has been performed for a variety of indications, with variable outcomes depending on the initial diagnosis. However, controversial opinions still exist regarding the design of reverse arthroplasty prosthesis (medialized or lateralized design and the neck-shaft angle of the humeral prosthesis), suture of the subscapularis tendon, use of cement during placement of the humeral prosthesis, and surgical procedures; therefore, these should be investigated so that they can be better understood.

• Journal of Digestive Cancer Research
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• v.10 no.2
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• pp.74-81
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• 2022

Colorectal peritoneal metastasis has been an incurable disease for centuries. However, since the new millennium, recent advancements in therapies are achieved with modern chemotherapeutic agents, target agents, and immune checkpoint blockade introduction. Modern chemotherapies, from a nearly nonexistent median survival if untreated, have raised the duration to 16 months with target agents. Experts have once again surpassed its limit by introducing intraperitoneal chemotherapy and cytoreductive surgery (CRS). Numerous clinical trials regarding CRS and hyperthermic intraperitoneal chemotherapy have now opened new doors in peritoneal carcinomatosis treatment, even securing complete remission. In addition, up-to-date modalities, such as pressurized intraperitoneal aerosol chemotherapy and immunotherapies, showed promising results at an early stage.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.662-672
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• 2017

Recently, with the development of mobile devices and near field communication, mobile P2P networks have been actively studied to improve the limits of the existing centralized processing system. A peer has limited components such as batteries, memory and storage spaces in mobile P2P networks. The trust of a peer should be discriminated in order to share reliable contents in mobile P2P networks. In this paper, we propose a trust discrimination scheme considering limited resources in mobile P2P environments. The proposed scheme discriminates the trust of a peer by direct rating values using the rating information of the peer and indirect rating values by the other peers. The recent update time is included in the rating information. The proposed scheme reduces the redundant rating information by comparing the recent update times of the rating information. It is shown through performance evaluation that the proposed scheme reduces the number of messages and improves the accuracy of trust over the existing scheme.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.6
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• pp.397-401
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• 2007

Recent applications on continuous queries on moving objects are extended quickly to various parts. These applications need not only 2-dimensional space data but also high-dimensional space data. If we use previous index for overlapped continuous range queries on high-dimensional space data, as the number of continuous range queries on a large number of moving objects becomes larger, their performance degrades significantly. We focus on stationary queries, non-exponential increase of storage cost and efficient processing time for large data sets. In this paper, to solve these problems, we present a novel query indexing method, denoted as PAB(Projected Attribute Bit)-based query index. We transfer information of high-dimensional continuous range query on each axis into one-dimensional bit lists by projecting technique. Also proposed query index supports incremental update for efficient query processing. Through various experiments, we show that our method outperforms the CES(containment-encoded squares)-based indexing method which is one of the most recent research.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.68-74
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• 2019

Along with the deeper architecture in the deep learning approaches, the need for the data becomes very big. In the real problem, to get huge data in some disciplines is very costly. Therefore, learning on limited data in the recent years turns to be a very appealing area. Meta-learning offers a new perspective to learn a model with this limitation. A state-of-the-art model that is made using a meta-learning framework, Meta-SGD, is proposed with a key idea of learning a hyperparameter or a learning rate of the fast adaptation stage in the outer update. However, this learning rate usually is set to be very small. In consequence, the objective function of SGD will give a little improvement to our weight parameters. In other words, the prior is being a key value of getting a good adaptation. As a goal of meta-learning approaches, learning using a single gradient step in the inner update may lead to a bad performance. Especially if the prior that we use is far from the expected one, or it works in the opposite way that it is very effective to adapt the model. By this reason, we propose to add a weight term to decrease, or increase in some conditions, the effect of this prior. The experiment on few-shot learning shows that emphasizing or weakening the prior can give better performance than using its original value.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.671-678
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• 2017

Recent advances in Internet of Things (IoT) encourage us to use IoT devices in daily living areas. However, as IoT devices are being ubiquitously used, concerns onsecurity and privacy of IoT devices are getting grown. Key management is an important and fundamental task to provide security services. For better security, we should restrict reusing a same key in sequential authentication sessions, but it is difficult to manually update and memorize keys. In this paper, we propose a hardware security module(HSM) for automated key management in IoT devices. Our HSM is attached to an IoT device and communicates with the device. It provides an automated, secure key update process without any user intervention. The secure keys provided by our HSM can be used in the user and device authentications for any internet services.

• Journal of Computing Science and Engineering
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• v.4 no.2
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• pp.173-187
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• 2010

Recent technological advances in mobile communication systems have made explosive growth in the number of mobile device users worldwide. One of the most important issues in designing a mobile computing system is location management of users. The hierarchical systems had been proposed to solve the scalability problem in location management. The scalability problem occurs when there are too many users for a mobile system to handle, as the system is likely to react slow or even get down due to late updates of the location databases. In this paper, we propose a top-down clustering algorithm for hierarchical location database systems in a wireless network. A hierarchical location database system employs a tree structure. The proposed algorithm uses a top-down approach and utilizes the number of visits to each cell made by the users along with the movement information between a pair of adjacent cells. We then present a modified algorithm by incorporating the exhaustive method when there remain a few levels of the tree to be processed. We also propose a capacity constraint top-down clustering algorithm for more realistic environments where a database has a capacity limit. By the capacity of a database we mean the maximum number of mobile device users in the cells that can be handled by the database. This algorithm reduces a number of databases used for the system and improves the update performance. The experimental results show that the proposed, top-down, modified top-down, and capacity constraint top-down clustering algorithms reduce the update cost by 17.0%, 18.0%, 24.1%, the update time by about 43.0%, 39.0%, 42.3%, respectively. The capacity constraint algorithm reduces the average number of databases used for the system by 23.9% over other algorithms.