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Secure Authentication Approach Based New Mobility Management Schemes for Mobile Communication

  • Abdelkader, Ghazli;Naima, Hadj Said;Adda, Ali Pacha
    • Journal of Information Processing Systems
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    • v.13 no.1
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    • pp.152-173
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    • 2017
  • Mobile phones are the most common communication devices in history. For this reason, the number of mobile subscribers will increase dramatically in the future. Therefore, the determining the location of a mobile station will become more and more difficult. The mobile station must be authenticated to inform the network of its current location even when the user switches it on or when its location is changed. The most basic weakness in the GSM authentication protocol is the unilateral authentication process where the customer is verified by the system, yet the system is not confirmed by the customer. This creates numerous security issues, including powerlessness against man-in-the-middle attacks, vast bandwidth consumption between VLR and HLR, storage space overhead in VLR, and computation costs in VLR and HLR. In this paper, we propose a secure authentication mechanism based new mobility management method to improve the location management in the GSM network, which suffers from a lot off drawbacks, such as transmission cost and database overload. Numerical analysis is done for both conventional and modified versions and compared together. The numerical results show that our protocol scheme is more secure and that it reduces mobility management costs the most in the GSM network.

Anti-cancer Mechanism of Docosahexaenoic Acid in Pancreatic Carcinogenesis: A Mini-review

  • Park, Mirae;Kim, Hyeyoung
    • Journal of Cancer Prevention
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    • v.22 no.1
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    • pp.1-5
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    • 2017
  • Pancreatic cancer is a highly aggressive malignant tumor of the digestive system and radical resection, which is available to very few patients, might be the only possibility for cure. Since therapeutic choices are limited at the advanced stage, prevention is more important for reducing incidence in high-risk individuals with family history of pancreatic cancer. Epidemiological studies have shown that a high consumption of fish oil or ${\omega}3-polyunsaturated$ fatty acids reduces the risk of pancreatic cancers. Dietary fish oil supplementation has shown to suppress pancreatic cancer development in animal models. Previous experimental studies revealed that several hallmarks of cancer involved in the pathogenesis of pancreatic cancer, such as the resistance to apoptosis, hyper-proliferation with abnormal $Wnt/{\beta}-catenin$ signaling, expression of pro-angiogenic growth factors, and invasion. Docosahexaenoic acid (DHA) is a ${\omega}3-polyunsaturated$ fatty acid and rich in cold oceanic fish oil. DHA shows anti-cancer activity by inducing oxidative stress and apoptosis, inhibiting $Wnt/{\beta}-catenin$ signaling, and decreasing extracellular matrix degradation and expression of pro-angiogenic factors in pancreatic cancer cells. This review will summarize anti-cancer mechanism of DHA in pancreatic carcinogenesis based on the recent studies.

Current status, challenges and prospects for dairy goat production in the Americas

  • Lu, Christopher D.;Miller, Beth A.
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.8_spc
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    • pp.1244-1255
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    • 2019
  • Dairy goat production continues to be a socially, economically and culturally important part of the livestock industry in North, Central and South America and the Caribbean islands. Goat milk, cheese and other dairy products offer consumers food products with nutritional, health and environmental benefits. In North America, Mexico produces the greatest volume of goat milk, but most is for family or local consumption that is typical of a mixed farming system adopted by subsistence farmers in dry areas. The United States is not yet a large global goat milk producer, but the sector has expanded rapidly, with dairy goat numbers doubling between 1997 and 2012. The number of dairy goats has also increased dramatically in Canada. Commercial farms are increasingly important, driven by rising demand for good quality and locally sourced goat cheese. In South America, Brazil has the most developed dairy goat industry that includes government assistance to small-scale producers and low-income households. As of 2017, FAO identified Haiti, Peru, Jamaica, and Bolivia as having important goat milk production in the Western Hemisphere. For subsistence goat producers in the Americas on marginal land without prior history of chemical usage, organic dairy goat production can be a viable alternative for income generation, with sufficient transportation, sanitation and marketing initiatives. Production efficiency, greenhouse gas emission, waste disposal, and animal welfare are important challenges for dairy goat producers in the Americas.

Bilateral optic neuropathy related to severe anemia in a patient with alcoholic cirrhosis: A case report and review of the literature

  • Humbertjean-Selton, Lisa;Selton, Jerome;Riou-Comte, Nolwenn;Lacour, Jean-Christophe;Mione, Gioia;Richard, Sebastien
    • Clinical and Molecular Hepatology
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    • v.24 no.4
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    • pp.417-423
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    • 2018
  • Anemia appears frequently in patients with alcoholic liver disease (ALD) but has never been linked to bilateral nonarteritic anterior ischemic optic neuropathy (NAION). A 65-year-old woman with a medical history of alcoholic cirrhosis was admitted for bilateral NAION. On admission, she was found to have a low arterial pressure and severe normocytic anemia (48 g/L). The anemia was related to chronic bleeding due to antral gastritis along with other factors associated with ALD. The applied treatment consisted of urgent transfusion followed by high doses of proton-pump inhibitors, iron and vitamin supplementation, and support in lifestyle measures. Her hemoglobin levels remained stable after 2 years but the patient still suffered from visual loss. This case highlights the link between anemia and bilateral NAION in ALD patients. The optic nerve head is prone to infarction in this context due to the vascularization characteristics of ALD. Hemoglobin levels should be monitored in ALD patients to avoid the severe complication of NAION.

INHV (Infectious Hematopoietic Necrosis Virus): Past, Present and Future (IHNV (Infectious Hematopoietic Necrosis Virus): 과거, 현재, 그리고 미래)

  • Park, Jeong Woo;Cho, Miyoung;Lee, Unn Hwa;Choi, Hye Sung
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.54 no.5
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    • pp.596-616
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    • 2021
  • A global increase in fish consumption has led to a rapid expansion of aquaculture production, which has been linked to enhancing the spread of infectious diseases. Viral diseases can cause high mortality in many cultured fish species, posing a serious threat to the aquaculture industry. Infectious hematopoietic necrosis virus (IHNV) is one of the primary threats to aquacultured salmonid species, causing huge economic losses. Since the first report in cultured sockeye salmon Oncorhynchus nerka during the 1950s in North America, IHNV has spread to other regions, including Europe, Asia, South America, and Africa by transportation of infected fish and eggs, causing disease and increasing mortality in a wide variety of salmonid species. Here, we review existing information relevant to IHNV: its phylogenetic characteristics, origin, infection history, virulence determinants, susceptible hosts, vectors, and vaccine development. This review also addresses a possible cross-species transmission of IHNV to a new host, olive flounder Paralichthys olivaceus, a cultured fish of economic importance in East Asian countries.

History of edible oils and fats industry in Korea (우리나라 식용유지 산업의 발자취)

  • Shin, Hyo-Sun
    • Food Science and Industry
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    • v.50 no.4
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    • pp.65-81
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    • 2017
  • In Korea, sesame oil has been used as a flavor source mainly by edible oil since ancient times, and it has been used by domestic screw pressing. In the 1960's, the demand for edible oils and fats increased significantly due to the improvement of national income and changes in food consumption patterns. In the early 1970's, a few edible oil manufacturing companies with modern solvent extraction and refining plants were established. In Korea, edible oil manufacturers account for more than 85% of employees with 50 or fewer employees. In Korea, there is a very shortage of raw materials for edible oils and fats, domestic production of edible oil is decreasing year by year and import volume is continuously increasing. While importing the edible oil bearing ingredients including soybean and extracted oil in the past, recently mainly imports crude oil and refines it in Korea. Soybean oil, palm oil and tallow account for 70~90% of total imported edible oils. Due to the recent well-being trend, the demand for olive, canola and grapeseed oils as household edible oil has increased and the production of blended oil has been greatly increased. Since the late 1980's, people have recognized edible oil and fat as a food instead of seasoning ingredient and have increased their edible oil and fat intake in Korea. Since the early 2000's, refined oil and fat products produced in Korea have been exported and is increasing every year.

Detection and Trust Evaluation of the SGN Malicious node

  • Al Yahmadi, Faisal;Ahmed, Muhammad R
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.89-100
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    • 2021
  • Smart Grid Network (SGN) is a next generation electrical power network which digitizes the power distribution grid and achieves smart, efficient, safe and secure operations of the electricity. The backbone of the SGN is information communication technology that enables the SGN to get full control of network station monitoring and analysis. In any network where communication is involved security is essential. It has been observed from several recent incidents that an adversary causes an interruption to the operation of the networks which lead to the electricity theft. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we have introduced a machine learning based SVM method that detects malicious nodes in a smart grid network. The algorithm collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) classifies nodes into Normal or malicious nodes giving the statues of 1 for normal nodes and status of -1 for malicious -abnormal-nodes. Once the malicious nodes have been detected, we have done a trust evaluation based on the nodes history and recorded data. In the simulation, we have observed that our detection rate is almost 98% where the false alarm rate is only 2%. Moreover, a Trust value of 50 was achieved. As a future work, countermeasures based on the trust value will be developed to solve the problem remotely.

Accurate and Rapid Methods for Detecting Salmonella spp. Using Polymerase Chain Reaction and Aptamer Assay from Dairy Products: A Review

  • Hyeon, Ji-Yeon;Seo, Kun-Ho;Chon, Jung-Whan;Bae, Dongryeoul;Jeong, Dongkwang;Song, Kwang-Young
    • Journal of Dairy Science and Biotechnology
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    • v.38 no.4
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    • pp.169-188
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    • 2020
  • Salmonella spp. is the most common cause of gastrointestinal food poisoning worldwide, and human salmonellosis is mostly caused by the consumption of contaminated food. Therefore, the development of rapid detection methods for Salmoenlla spp. and rapid identification of the source of infection by subtyping are important for the surveillance and monitoring of food-borne salmonellosis. Therefore, this review introduces (1) History and nomenclature of Salmoenlla spp., (2) Epidemiology of Salmoenlla spp., (3) Detection methods for Salmoenlla spp. - conventional culture method, genetic detection method, molecular detection methods, and aptamer, and (4) Subtyping methods for Salmoenlla spp. - pulsed-field gel electrophoresis and repetitive sequence-based polymerase chain reaction (PCR).

Predictive of Osteoporosis by Tree-based Machine Learning Model in Post-menopause Woman (폐경 여성에서 트리기반 머신러닝 모델로부터 골다공증 예측)

  • Lee, In-Ja;Lee, Junho
    • Journal of radiological science and technology
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    • v.43 no.6
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    • pp.495-502
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    • 2020
  • In this study, the prevalence of osteoporosis was predicted based on 10 independent variables such as age, weight, and alcohol consumption and 4 tree-based machine-learning models, and the performance of each model was compared. Also the model with the highest performance was used to check the performance by clearing the independent variable, and Area Under Curve(ACU) was utilized to evaluate the performance of the model. The ACU for each model was Decision tree 0.663, Random forest 0.704, GBM 0.702, and XGBoost 0.710 and the importance of the variable was shown in the order of age, weight, and family history. As a result of using XGBoost, the highest performance model and clearing independent variables, the ACU shows the best performance of 0.750 with 7 independent variables. This data suggests that this method be applied to predict osteoporosis, but also other various diseases. In addition, it is expected to be used as basic data for big data research in the health care field.

Current Evidence for a Paradigm Shift in Gastric Cancer Prevention From Endoscopic Screening to Helicobacter pylori Eradication in Korea

  • Kim, Young-Il;Choi, Il Ju
    • Journal of Gastric Cancer
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    • v.22 no.3
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    • pp.169-183
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    • 2022
  • Gastric cancer is prevalent in Korea and ranked as the third most common cancer in 2019, followed by lung and thyroid cancers. The National Cancer Screening Program (NCSP) for gastric cancer has been implemented in adults aged ≥ 40 since 1999 and involves endoscopic screening every 2 years. The beneficial effects of the current NCSP on early cancer detection, cost-effectiveness, and mortality reduction are evident. However, the screening program results in a large socioeconomic burden and the consumption of medical resources, as it focuses solely on secondary prevention (early detection) rather than primary prevention of cancer. Helicobacter pylori is defined as a group I carcinogen by the International Agency for Research on Cancer. Hence, its eradication has been suggested as an important primary gastric cancer prevention strategy. Well-designed randomized controlled trials involving high-risk groups (post-endoscopic resection of early gastric cancer and family history of gastric cancer) and long-term follow-up studies in the general population have provided high-quality evidence regarding the effects of H. pylori eradication on gastric cancer prevention. In this review, we discussed the evidences for a possible modification of the current gastric cancer secondary prevention strategy by introducing primary prevention through H. pylori eradication. Areas for future research to optimize primary prevention strategies were also suggested.