• Journal of the Korean Ceramic Society
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• v.39 no.3
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• pp.245-251
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• 2002

We prepared γ-alumina beads using the amorphous alumina, obtained by fast calcination of gibbsite, and its were immersed in aqueous solution of the mixture of 21.87% nitric acid and 28.57% acetic acid. The beads thus were hydrothermaly treated at 200$^{\circ}$C for 3h, and were investigated changes of crystal, pore characteristics, $N_2$ adsorption and desorption isotherms, mechanical strengths and thermal resistance. Acicular platelet crystals of 0.1∼0.3${\mu}$m were transformed into acicular boehmite crystals of 1∼2${\mu}$m having the same crystal structure. Through this changes, we found that reversible phase transformation due to hydrothermal reaction took placed between boehmite and ${\gamma}$-alumina. In comparison to the ${\gamma}$-alumina bead before hydrothermal treatment, $N_2$ adsorption capacity was increased from 450㎖/g to 670㎖/g, and pore volume between 100${\AA}$ and 1000${\AA}$ was increased form 0.15㎖/g to 0.77㎖g, and mechanical strength was increased form 1.4MPa to 2.2MPa. Also, it showed the remarkable thermal resistance which sustained ${\theta}$-alumina crystal structure and pores between 100${\AA}$ and 1000${\AA}$ at 1000$^{\circ}$C in 40vol% steam.

• Parasites, Hosts and Diseases
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• v.54 no.3
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• pp.335-338
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• 2016

The present study aimed to investigate the possible association of Toxoplasma gondii and Toxocara spp. infections with cryptogenic epilepsy in children. The study was carried out between June 2014 and March 2015. Total 90 children (40 with cryptogenic epilepsy, 30 with non-cryptogenic epilepsy, and 20 healthy control children) were evaluated to determine the anti-Toxocara and anti-T. gondii IgG seropositivity using ELISA kits. Epileptic cases were selected from those attending the pediatrics outpatient clinic of Benha University Hospital, Pediatrics Neurology Unit, and from Benha Specialized Hospital of children. The results showed that the level of anti-T. gondii IgG seropositivity was significantly higher among children with cryptogenic epilepsy (20%) than among children with non-cryptogenic children (0%). In healthy controls (10%), there was no association between toxocariasis seropositivity and cryptogenic epilepsy (only 5.7%; 4 out of 70 cases) among cases and 10% (2 out of 20) among controls. Among toxocariasis IgG positive cases, 3 (7.5%) were cryptogenic, and only 1 (3.3%) was non-cryptogenic. These statistically significant results support the association between T. gondii infection and cryptogenic epilepsy while deny this association with toxocariasis.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.107-116
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• 2018

The aim of this study is to delve deeper into the online brand community study. This study tests (a) the effects of online brand community on its outcomes, (b) the impact of value creation practice construct as a whole, (c) the effects of value creating practice construct on the two types of loyalty, loyalty toward the brand and the community. Participants of this study (N=353) are members of four types of online brand communities (e.g., business-to-consumer virtual product support community, firm-hosted online community, user-generated online community, peer-to-peer problem-solving community, and social media based brand community). Data were collected online using Amazon Mechanical Turk from April 10, 2016 to May 10, 2016. The data were analyzed through structural equations modeling using AMOS 20. The three community markers (e.g., consciousness of kind, rituals and traditions, and moral responsibility) and the four value creation practices (e.g., social networking, impression management, community engagement, and brand use) are proved to be significant indicators of online brand community and value creation practice constructs, respectively. Test results showed that strong and effective online brand communities generate value creation practices, and value creation practices enhance brand loyalty. The mediating effects of community loyalty between value creation practices and brand loyalty were revealed.

• Journal of Convergence for Information Technology
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• v.10 no.2
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• pp.63-69
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• 2020

The purpose of this study examine to identify the mediating Organizational citizenship behavior in the relation Authentic leadership and Organizational support. Data were collected by self-report questionnaires targeting 229 caregiver in Daegu city and Gyeongsangbuk-do city. Data were analyzed with SPSS/PC ver. 21.0 programs. There were significantly positive correlations between toward the Organizational citizenship behavior, Authentic leadership and Organizational. As a result of analyzing the main factors the level of care performance for authentic leadership and Organizational support to be significant explanatory variables and this model's explanatory power was 50.0%. Therefore, it is necessary required to improve the Organizational support and leader's authentic leadership for the nursing work performance.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.27-36
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• 2023

The purpose of this study was to examine the relationships between health knowledge, health attitude, social support, self-efficacy, and health promotion behaviors among nursing students in medically underserved areas using the Information-Motivation-Behavioral Skills Model, as well as to identify the factors influencing health promotion behaviors. The study was conducted from October 1 to October 20, 2022, with 157 nursing students residing in medically underserved areas G. Data analysis was performed using SPSS 25.0 program, including descriptive statistics, t-test, one way ANOVA, correlation analysis, and multiple regression analysis. The results showed that the factors affecting health promotion behaviors were school life satisfaction, stress management, social support, and self-efficacy, with social support being the most significant factor. The total explanatory power was 84.9%. Based on these results, we hope to develop a health promotion program that can increase the interest of nursing students in health promotion and encourage active participation in health behaviors, which can contribute to becoming a healthy nurse.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.8
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• pp.1098-1106
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• 2004

In a split-unit design, 12 Javan rusa (Cervus timorensis russa) stags (6 castrated and 6 entire) were used to investigate seasonal (winter, spring and summer) effects on intake, digestibility of food constituents, volatile fatty acid profile, and nitrogen retention, when given lucerne (Medicago sativa) or rhodes grass (Chloris guyana) hays. Entire stags ate 9% more dry matter (DM) than castrates (p<0.05). Both castrated and entire stags exhibited seasonal changes in DM intake, these being higher (p<0.05) in winter (62.3 g/kg $W^{0.75}$) than spring (56.9 g/kg $W^{0.75}$) or summer (55.3 g/kg $W^{0.75}$). Intakes of lucerne hay (211 g protein/kg DM) were significantly higher than of rhodes grass hay (49 g protein/kg DM) in all seasons (p<0.05). Digestibilities of DM (0.58), neutral detergent fibre (0.59) and acid detergent fibre (0.47) were similar between castrates and entires. DM digestibility was higher (p<0.0001) for lucerne (0.66) than rhodes grass (0.55), and was higher (p<0.05) in winter (0.60) than spring (0.58) or summer (0.57). The ruminal acetate concentrations were higher (p<0.001) in spring than summer (78 and 73 molar % respectively). Apparent digestibility of protein was significantly less (p<0.0001) for rhodes grass (0.37) than lucerne (0.75). N retention was positive for lucerne (15.2 g/d) but negative for rhodes grass (-2.8 g/d) (p<0.0001), and was higher (p<0.001) in summer (12.0 g/d) than spring (4.3 g/d) or winter (2.4 g/d). The tropical rusa deer exhibits seasonal variations in feed intake, food constituent digestibilities, VFA profile and N retention. Castration did not alter these traits. The results do not support the view that rusa deer can thrive on low-quality pastures. The productivity and commercial exploitation of rusa deer could be optimised if they are given high-protein feed during spring and summer.

• Electronics and Telecommunications Trends
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• v.35 no.6
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• pp.12-23
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• 2020

Because of economic polarization and difficulties, extreme personalization, and the complexity of social relationships, modern people are experiencing various mental disorders or pathologies. Accordingly, there is an urgent need to prepare more active countermeasures and support those with mental health difficulties to improve mental health and prevent abnormal pathologies. Artificial intelligence (AI) is expected to improve the mental health of individuals through emotional enhancement beyond affective computing. We investigated how to use AI to prevent and diagnose mental diseases or disorders, support treatment, and manage followup. In particular, promising services that can be used in daily life or medical clinics were discovered and active directions for realizing these services are suggested.

• Structural Engineering and Mechanics
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• v.4 no.1
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• pp.49-59
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• 1996

This paper considers large deflection problem of a simply supported beam with variable are length subjected to a point load. The beam has one of its ends hinged and at a fixed distance from this end propped by a frictionless support over which the beam can slide freely. This highly nonlinear flexural problem is solved by elliptic-integral method and shooting-optimization technique, thereby providing independent checks on the new solutions. Because the beam can slide freely over the frictionless support, there is a maximum or critical load which the beam can carry and it is dependent on the position of the load. Interestingly, two possible equilibrium configurations can be obtained for a given load magnitude which is less than the critical value. The maximum arc-length was found to be equal to about 2.19 times the fixed distance between the supports and this value is independent of the load position.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.258-270
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• 2022

Cancer has become a common disease for the past two decades throughout the globe and there is significant increase of cancer among women. Breast cancer and ovarian cancers are more prevalent among women. Majority of the patients approach the physicians only during their final stage of the disease. Early diagnosis of cancer remains a great challenge for the researchers. Although several drugs are being synthesized very often, their multi-benefits are less investigated. With millions of drugs synthesized and their data are accessible through open repositories. Drug repurposing can be done using machine learning techniques. We propose a feature selection technique in this paper, which is novel that generates multiple populations for the grey wolf algorithm and classifies breast cancer drugs efficiently. Leukemia drug dataset is also investigated and Multilayer perceptron achieved 96% prediction accuracy. Three supervised machine learning algorithms namely Random Forest classifier, Multilayer Perceptron and Support Vector Machine models were applied and Multilayer perceptron had higher accuracy rate of 97.7% for breast cancer drug classification.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.25-32
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• 2023

Decision-making refers to identifying the best alternative among a set of alternatives. When a set of criteria are involved, the decision-making is called multi-criteria decision-making (MCDM). In some cases, the involved criteria may be prioritized by the human decision-maker, which determines the importance degree for each criterion; hence, the decision-making becomes prioritized multi-criteria decision-making. The essence of prioritized MCDM is raking the different alternatives concerning the criteria and selecting best one(s) from the ranked list. This paper introduces a generic multi-level algorithm for ranking multiple alternatives in prioritized MCDM problems. The proposed algorithm is implemented by a decision support system for selecting the most critical short-road requests presented to the transportation ministry in the Kingdom of Saudi Arabia. The ranking results show that the proposed ranking algorithm achieves a good balance between the importance degrees determined by the human decision maker and the score value of the alternatives concerning the different criteria.