• Korean Journal of Veterinary Service
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• v.25 no.1
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• pp.45-52
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• 2002

The acute phase serum protein response is a well-known general indicator of inflammation, trauma or other pathological conditions and its relevance for the monitoring of the health status of domestic animals is being increasingly realized. The changes in serum protein composition which occur after tissue damage represent a part of the systemic response of the injured animals which is mediated by pro-inflammatory cytokines such as TNF-$\alpha$, IL-6 and IL-1. These responses play a vital role in containing the tissue damage and enhancing the processes of repair and resolution. From a clinical perspective, the assay of acute phase proteins can provide a method for detecting inflammation. In animals, the most sensitive acute phase proteins are haptoglogin, serum amyloid A and at-acid glycoprotein in response to inflammatory condition. The aim of this study was to assess the diagnostic value of the concentrations of serum amyloid A(SAA) and haptoglobin(HP) in serum of pigs infected with Aujeszky's disease virus(ADV). Fifty pigs infected with ADV and 5 normal pigs were used in this experiment. The mean serum concentration of Shh of pigs infected with ADV was 96.8 $\pm$ 7.1 $\mu\textrm{g}$/㎖(range, 36.0∼187.5 $\mu\textrm{g}$/㎖) and that of normal pigs was 42.9$\pm$3.3 $\mu\textrm{g}$/㎖(range, 17.3∼127.8 $\mu\textrm{g}$/㎖). The mean serum concentration of HP of pigs infected with ADV was 1,164.4 $\pm$ 96.9 $\mu\textrm{g}$/㎖ (range, 790.2∼l,769.2 $\mu\textrm{g}$/㎖) and that of normal pigs was 675.4 $\pm$ 56.3 $\mu\textrm{g}$/㎖ (range, 650.0-690.4 $\mu\textrm{g}$/㎖). The mean concentrations of SAA and HP in serum of pigs infected with ADV compared with those of normal pigs showed approximately a two-fold. It was concluded that the concentrations of Shh and HP in serum may proved to be diagnostic marker of Aujeszky's disease.

• Smart Structures and Systems
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• v.20 no.6
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• pp.683-696
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• 2017

In this study, the reliability of nonlinear ultrasonic modulation based fatigue crack detection is improved using a feature-level data fusion approach. When two ultrasonic inputs at two distinct frequencies are applied to a specimen with a fatigue crack, modulation components at the summation and difference of these two input frequencies appear. First, the spectral amplitudes of the modulation components and their spectral correlations are defined as individual features. Then, a 2D feature space is constructed by combining these two features, and the presence of a fatigue crack is identified in the feature space. The effectiveness of the proposed fatigue crack detection technique is experimentally validated through cyclic loading tests of aluminum plates, full-scale steel girders and a rotating shaft component. Subsequently, the improved reliability of the proposed technique is quantitatively investigated using receiver operating characteristic analysis. The uniqueness of this study lies in (1) improvement of nonlinear ultrasonic modulation based fatigue crack detection reliability using feature-level data fusion, (2) reference-free fatigue crack diagnosis without using the baseline data obtained from the intact condition of the structure, (3) application to full-scale steel girders and shaft component, and (4) quantitative investigation of the improved reliability using receiver operating characteristic analysis.

• Structural Engineering and Mechanics
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• v.71 no.1
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• pp.57-63
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• 2019

During the last two decades, much joint research regarding vibration based methods has been done, leading to developing various algorithms and techniques. These algorithms and techniques can be divided into modal methods and signal methods. Although modal methods have been widely used for health monitoring and damage detection, signal methods due to higher efficiency have received considerable attention in various fields, including aerospace, mechanical and civil engineering. Signal-based methods are derived directly from the recorded responses through signal processing algorithms to detect damage. According to different signal processing techniques, signal-based methods can be divided into three categories including time domain methods, frequency domain methods, and time-frequency domain methods. The frequency domain methods are well-known and interest in using them has increased in recent years. To determine dynamic behaviours, to identify systems and to detect damages of bridges, different methods and algorithms have been proposed by researchers. In this study, a new algorithm to detect seismic damage in the bridge's piers is suggested. To evaluate the algorithm, an analytical model of a bridge with simple spans is used. Based on the algorithm, before and after damage, the bridge is excited by a sine force, and the piers' responses are measured. The dynamic specifications of the bridge are extracted by Power Spectral Density function. In addition, the Least Square Method is used to detect damage in the bridge's piers. The results indicate that the proposed algorithm can identify the seismic damage effectively. The algorithm is output-only method and measuring the excitation force is not needed. Moreover, the proposed approach does not need numerical models.

• Journal of Microbiology and Biotechnology
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• v.29 no.3
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• pp.454-464
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• 2019

Salmonellosis is a highly contagious bacterial disease that threatens both human and poultry health. Tests that can detect Salmonella in the field are urgently required to facilitate disease control and for epidemiological investigations. Here, we combined loop-mediated isothermal amplification (LAMP) with a chromatographic lateral flow dipstick (LFD) to rapidly and accurately detect Salmonella. LAMP primers were designed to target the Salmonella invA gene. LAMP conditions were optimized by adjusting the ratio of inner to outer primers, $MgSO_4$ concentration, dNTP mix concentration, amplification temperature, and amplification time. We evaluated the specificity of our novel LAMP-LFD method using six Salmonella species and six related non-Salmonella strains. All six of the Salmonella strains, but none of the non-Salmonella strains, were amplified. LAMP-LFD was sensitive enough to detect concentrations of Salmonella enterica subsp. enterica serovar Pullorum genomic DNA as low as $89fg/{\mu}l$, which is 1,000 times more sensitive than conventional PCR. When artificially contaminated feed samples were analyzed, LAMP-LFD was also more sensitive than PCR. Finally, LAMP-LFD gave no false positives across 350 chicken anal swabs. Therefore, our novel LAMP-LFD assay was highly sensitive, specific, convenient, and fast, making it a valuable tool for the early diagnosis and monitoring of Salmonella infection in chickens.

• Journal of Platform Technology
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• v.9 no.3
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• pp.36-43
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• 2021

Stroke disease is one of the leading causes of death worldwide, and in particular, it is the most important causative disease that causes disability in the elderly. Since stroke disease often causes death or serious disability, active primary prevention and early detection of prognostic symptoms are very important. In particular, it is necessary to detect and accurately predict stroke prognostic symptoms in daily life and prompt diagnosis and treatment by medical staff. In recent studies, image analysis such as computed tomography (CT) or magnetic resonance imaging (MRI) is mostly used as a methodology for predicting prognostic symptoms in stroke patients. However, this approach has limitations in terms of long test time and high cost. In this paper, we experimented with clinical data on how stroke disease affects foot pressure in elderly in walking. Experiments have shown that there is a significant difference in * p < .05 in 12 cells between the stroke elderly and the normal elderly during walking. As a result, it is significant that we found a significant difference in the gait patterns in daily life of the stroke elderly and the normal elderly.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.9-20
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• 2021

In order to develop practical indicator that can diagnose the regional conditions and characteristics of fishing villages, this study reviewed domestic and foreign researches and selected the diagnostic indicator of fishing villages by spatial unit. The major categories are divided into population and society, economic conditions, and living conditions. The middle categories consists of population, household, industry, tourism, settlement, environment, safety, health and welfare, education, and culture and leisure. The indicator were selected with reference to the existence of statistical data officially provided according to the spatial range(Si/Gun, eup/myeon, village). Based on the selected indicator, the test evaluation was conducted in Jindo-gun, Jeollanam-do by applying data that can be obtained from KOSIS and web GIS. It is judged that the diagnostic indicator developed through this research can be used in various ways from the planning stage to the implementation stage of the regional development project, such as grasping the current conditions, setting improvement targets, promotion and evaluation/monitoring of the project. In addition, it is expected that it will be possible to carry out regional diagnosis for each spatial unit and to plan and implement regional development projects by giving priority to areas where the level of each department is insufficient.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.406-409
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• 2022

In recent years, the developments in technologies, such as AI systems, Blockchain, VR/AR, 3D printing, robotics, and nanotechnology, are reshaping the future of healthcare right before our eyes. And also, healthcare has seen a paradigm shift towards prevention-oriented medicine, with a focus on consumers requirements. The spread of infectious diseases such as Covid-19 have altered the definition of healthcare and treatment facilities, necessitating immediate action to redesign hospitals' physical environments, adapt communication models to address social distancing requirements, implement virtual health solutions, and establish new clinical protocols. Hospitals, which have traditionally served as the hub of healthcare systems, are pursuing or being forced to reestablish themselves against this landscape. Rather than only treating ailments, future healthcare is predicted to focus on wellness and prevention. In personalized care, long-term prevention strategies, remote monitoring, early diagnosis, and detection are critical. Given the growing interest in smart healthcare defined by these modern technologies, this study looked into the definitions and service kinds of smart healthcare. The background and technical aspects of smart hospitals were also explored through a literature review.

• Journal of Yeungnam Medical Science
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• v.40 no.4
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• pp.402-411
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• 2023

Background: We hypothesized that fatty liver disease (FLD) is associated with a high prevalence of hearing loss (HL) owing to metabolic disturbances. This study aimed to evaluate the association between FLD and HL in a large sample of the Korean population. Methods: We used a dataset of adults who underwent routine voluntary health checkups (n=21,316). Fatty liver index (FLI) was calculated using Bedogni's equation. The patients were divided into two groups: the non-FLD (NFLD) group (n=18,518, FLI <60) and the FLD group (n=2,798, FLI ≥60). Hearing thresholds were measured using an automatic audiometer. The average hearing threshold (AHT) was calculated as the pure-tone average at four frequencies (0.5, 1, 2, and 3 kHz). HL was defined as an AHT of >40 dB. Results: HL was observed in 1,370 (7.4%) and 238 patients (8.5%) in the NFLD and FLD groups, respectively (p=0.041). Compared with the NFLD group, the odds ratio for HL in the FLD group was 1.16 (p=0.040) and 1.46 (p<0.001) in univariate and multivariate logistic regression analyses, respectively. Linear regression analyses revealed that FLI was positively associated with AHT in both univariate and multivariate analyses. Analyses using a propensity score-matched cohort showed trends similar to those using the total cohort. Conclusion: FLD and FLI were associated with poor hearing thresholds and HL. Therefore, active monitoring of hearing impairment in patients with FLD may be helpful for early diagnosis and treatment of HL in the general population.

• BioChip Journal
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• v.16
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• pp.49-57
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• 2020

During living donor liver transplantation, a number of blood vessels and bile ducts are anastomosed while the liver and gallbladder are resected in the donor and recipient. Early detection and treatment of complications after surgery by evaluating the function of blood vessels and the biliary tract is crucial. A biosensing chip that can monitor patient health status from the bile excreted during the recovery process has been developed using a surface-enhanced Raman sensing chip. Surface-enhanced Raman spectroscopy signals of bile obtained from normal bile duct ligation and gallbladder damage mouse models using a cautery device were identified and analyzed. The surface-enhanced Raman chip with a nanometer-level porous structure can selectively separate the nanometer biomarkers and measure the Raman signal. Through the detection of nanometer biomarkers in the bile and comparative analysis of histopathology, the Raman signal in the damaged gallbladder was compared with that caused by liver damage due to bile duct ligation, showing that it becomes a biosensing chip for monitoring recovery.

• Journal of muscle and joint health
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• v.21 no.1
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• pp.1-10
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• 2014

Purpose: The purpose of the study was to identify the attributes of self-help groups, their antecedents and consequences relating to self-help groups. Methods: We used the Walker and Avant (2010) method using the key word "self-help groups" the Korea Education and Research Information Service (www.riss4u.net), Pubmed, CINAHL and ProQuest for articles on this topic published between January 2000 and March 2013 were searched. Ultimately, 64 domestic and 21 foreign papers were selected for in-depth analysis. Results: The attributes of self-help groups are as follows: 1) members share common experiences and are supportive of each other; 2) members set goals for individual change; 3) groups are self-monitoring; 4) groups learn problem-solving processes through voluntary and active participation; and 5) groups are small and meet regularly. The antecedents of self-help groups are as follows: 1) an intervention by an expert; 2) a diagnosis of their illness; 3) motivation to change individuals' state; and 4) educational desire. The consequences of self-help groups are the relief of symptoms, the improvement of physiological parameters and quality of life, the decrease in depression, stress, and anxiety, the improvement of illness-related knowledge and self-help activity, and a change in beliefs. Conclusion: Self-help groups can be used as an intervention strategy to help people with chronic illness manage their own problems.