• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38B no.9
• /
• pp.722-727
• /
• 2013

Medical treatment for animals is very difficult as the opinions of pets' masters take priority over treatment regardless of the seriousness of pets' disease or the needs of medical treatment. In case that a pet has heart disease, especially, it is difficult to get the direct answer from the pet's master on the decision or confirmation of treatment. For those reasons, it is almost impossible to predict and treat the pet before an emergency like the heart failure or an unexpected death happens. Using stethoscope can be the first diagnosis method to check the heart or any kinds of disease inside the body. High-tech equipments like CT, X-ray or Ultrasound can be used, but they can only be used as a second choice of diagnosis method since it requires professional skills and its high price. That's why stethoscope is still the best diagnostic tool when one makes the first diagnosis. In this study, we give a detailed account of digital diagnosis system in which veterinarians can analyze the sound from stethoscope without bringing it to their ears and make a diagnosis wherever they are. And we suggest a new concept of diagnosis system surrounding, which shows the relativeness of disease through Level Crossing Rate(LCR) and energy level from the stethoscope sound made in this system.

• Animal Bioscience
• /
• v.34 no.1
• /
• pp.26-35
• /
• 2021

Objective: This study was conducted to assess the level of pregnancy-associated glycoprotein (PAG) in whole and skim milk samples, and its suitability for early pregnancy diagnosis in goats. Methods: A two-step sandwich enzyme-linked immunosorbent assay (ELISA) system for estimation of milk PAG was developed and validated, which employed caprine-PAG specific polyclonal antisera. Whole and skim milk samples (n = 210 each) from fifteen multiparous goats were collected on alternate days from d 10 to d 30, and thereafter weekly till d 51 post-mating. PAG levels in milk samples were estimated by ELISA and the pregnancies were confirmed at d40 post-mating by transrectal ultrasonography (TRUS). Results: The level of PAG in whole and skim milk samples of both pregnant and nonpregnant goats remained below the threshold values until d 24 after mating. Thereafter, PAG concentration in whole and skim milk increased steadily in pregnant goats, whereas it continued below the threshold in non-pregnant does. The PAG profiles in whole and skim milk of pregnant goats were almost similar and exhibited strong positive relationship (r = 0.891; p<0.001). Day 26 post-mating was identified as the first time-point for significantly (p<0.05) higher milk PAG concentration in pregnant goats than to non-pregnant goats. When compared to TRUS examination for pregnancy diagnosis, the accuracy and specificity of PAG ELISA using whole and skim milk samples were 94.5% and 95.4%; and 95.3% and 100%, respectively. The high values of area-under-curve (0.904 [whole milk] and 0.922 [skim milk]), demonstrate outstanding discrimination ability of the milk assays. Among the sampling dates chosen, d 37 post-mating was identified as the best suitable time point for collection of milk samples to detect pregnancy in goats. Conclusion: The PAG concentration in whole and skim milk of goats collected between days 26 and 51 post-breeding can be used for the accurate prediction of pregnancy and may be useful for assisting management decisions in goat flocks.

• Journal of Biosystems Engineering
• /
• v.16 no.3
• /
• pp.327-335
• /
• 1991

In Korea, farming population is rapidly decreased in each decade. Consequently, farming is becoming more complex with multi cropping, animal production and green house farming. In order to encounter this complexity of farming, expert system applications on diagnosis, planning, designing, management, control, and training are demanded to meet the needs of agricultural society. In this article, expert system establishment procedures are stated step by step and extensive literature review was conducted on the expert system development techniques.

• Korean Journal of Microbiology
• /
• v.49 no.2
• /
• pp.112-117
• /
• 2013

Wheat streak mosaic virus (WSMV), a member of the genus Tritimovirus in Potyviridae, severely impacts wheat and corn seed worldwide, but has yet to be detected in Korea, and hence, every effort should be made to prevent its introduction. To prevent WSMV from entering the country, it is necessary to prepare a specific, sensitive, simple, and fast detection method for routine application to plant quarantine procedures. For this reason, a two-step diagnosis system consisting of RT-PCR and nested PCR is being used for WSMV detection. In addition, a novel positive control was developed for use with the system. WSMV has been detected in seed sweet corn from Japan and seed wheat from USA by a two-step diagnosis system, the details of which are described in this study. After sequence analysis, similarities of 80.6 and 100.0% with other isolates were determined by BLAST. They showed the same topology, which was classified as 4 genotypes by various phylogenetic trees, using a poly protein encoding sequence amplification. In this analysis, WSMV-JSweet-corn2868 (JX845574) is classified as clade B, while WSMV-Uwheat1944-1 (KC754959) and WSMV-Uwheat1944-2 (KC754960) belong to clade D.

• International Journal of Computer Science & Network Security
• /
• v.24 no.9
• /
• pp.127-134
• /
• 2024

The acute respiratory infection known as a coronavirus (COVID-19) may present with a wide range of clinical manifestations, ranging from no symptoms at all to severe pneumonia and even death. Expert medical systems, particularly those used in the diagnostic and monitoring phases of treatment, have the potential to provide beneficial results in the fight against COVID-19. The significance of healthcare mobile technologies, as well as the advantages they provide, are quickly growing, particularly when such applications are linked to the internet of things. This research work presents a knowledge-based smart system for the primary diagnosis of COVID-19. The system uses symptoms that manifest in the patient to make an educated guess about the severity of the COVID-19 infection. The proposed inference system can assist individuals in self-diagnosing their conditions and can also assist medical professionals in identifying the ailment. The system is designed to be user-friendly and easy to use, with the goal of increasing the speed and accuracy of COVID-19 diagnosis. With the current global pandemic, early identification of COVID-19 is essential to regulate and break the cycle of transmission of the disease. The results of this research demonstrate the feasibility and effectiveness of using a knowledge-based smart system for COVID-19 diagnosis, and the system has the potential to improve the overall response to the COVID-19 pandemic. In conclusion, these sorts of knowledge-based smart technologies have the potential to be useful in preventing the deaths caused by the COVID-19 pandemic.

• Journal of Korea Multimedia Society
• /
• v.17 no.7
• /
• pp.886-894
• /
• 2014

Recently, domestic animal disease caused tremendous damage to farmhouses and the damage stretched in nationwide with the spread of epidemic disease. To prevent animal diseases from happening again, the system development to easily measure the temperature of sick animals and identify of them is needed, thereby quickly treat them, reducing losses of farmhouses. However, a lack of related equipment and human resource hampered its effort to minimize its losses. This study tries to develop diagnosis system as part of measures to curb these domestic animal diseases. This paper present the 센서 node based on IEEE 802.15.4 which can be attached to the animal body for real-time temperature measurement. We design and implement tiny chip-type that can be attached to the body of animals. Then, we use available power only when measuring temperatures in a long term-basis. In this paper, the 센서 node was applied to horse's neck. We measure the horse's body temperature between $32.2^{\circ}C{\sim}33.7^{\circ}C$ and analyze phenomenon data for 4 months.

• Korean Journal of Veterinary Service
• /
• v.41 no.2
• /
• pp.97-104
• /
• 2018

Recently, demographic studies of veterinary medical database have been conducted to understand patterns of disease occurrence. Understanding incidence of breed-related disease would provide appropriate guidance for future health care strategies and offer useful information for early diagnosis of disease. However, in veterinary medicine, theses research has not yet been investigated in the Republic of Korea. The purpose of this study was to investigate the prevalence of common medical disorders among dog breeds examined at primary-care veterinary clinics in Jeollabuk-Do, Republic of Korea. The data were analyzed based on World Health Organization's International Classification of Disease. A total 13,176 medical records of canine patients were analyzed from six primary veterinary clinics in Jeollabuk-Do from January to December 2016. Results showed that the most common health problems were 'disease of skin' (17.7%); followed by 'diseases of digestive system' (12.26%), 'preventive medicine' (10.08%), and 'diseases of ear and mastoid process' (10.4%). In seven out of ten breeds, the most common medical disorder was skin disease. For poodle such as Pomeranian and Chihuahua, digestive system disease was most prevalent. On the other hand, respiratory system disease was found to be higher in Pomeranian than other breeds; while ear and mastoid process disease was most common for Maltese and Poodle. This study can help owners, breeders, and veterinarians prevent and manage various diseases of popular breeds in Jeollabuk-Do in the future.

• Journal of Animal Science and Technology
• /
• v.60 no.12
• /
• pp.29.1-29.11
• /
• 2018

Background: Respiratory troubles have economic impacts in countries where livestock industry is an important segment of the agricultural sector, as well as these problems may cause significant economic losses for bovine producers. Various practical methods are used to assess diseases that affect the bovine respiratory system. Ultrasonography is a noninvasive tool that has been used frequently in diagnosis of various animal diseases. The present study was designed to establish whether thoracic ultrasonography is a diagnostic tool for detection of respiratory troubles in weaned buffalo and cattle calves, as well as to assess its prognostic value in comparison with clinical respiratory scores. Thirty five (15 buffalo and 20 cattle) calves were included. Twelve (6 buffalo and 6 cattle) clinically healthy calves were enrolled as controls. Results: Based on physical examinations, clinical respiratory scores (CRS), ultrasound lung scores (ULS) and postmortem findings, animals were classified into 4 groups as pulmonary emphysema (n = 8), interstitial pulmonary syndrome (n = 7), bronchopneumonia (n = 12), and pleurisy (n = 8). The mean values of CRS and ULS were significantly higher in diseased calves (P < 0.01). In calves with pulmonary emphysema and interstitial syndrome, thoracic ultrasonography revealed numerous comet-tail artifacts, which varied in numbers and imaging features. Furthermore, variable degrees of pulmonary consolidation with alveolograms and bronchograms were noticed in bronchopneumonic calves. In addition, thick irregular or fragmented pleura with pleural effusions and fibrin shreds were imaged in calves with pleurisy. A weak correlation was calculated between CRS and ULS (r = 0.55, P < 0.01). Hematologically, the counts of white blood cells, activities of aspartate aminotransferase and partial tensions of carbon dioxide were significantly increased in all diseased groups. Serum concentrations of total globulins were higher in claves with bronchopneumonia (P < 0.05). The partial tension of oxygen was decreased in all diseased calves (P < 0.05). Conclusions: Thoracic ultrasonography is a diagnostic tool for various lung troubles and assessment the grade and severity of pulmonary diseases, as well as it can be used as a follow-up tool for evaluating the prognosis of respiratory troubles and monitoring the efficacy of therapies.

• Journal of Animal Science and Technology
• /
• v.60 no.10
• /
• pp.25.1-25.10
• /
• 2018

The central dogma of gene expression propounds that DNA is transcribed to mRNA and finally gets translated into protein. Only 2-3% of the genomic DNA is transcribed to protein-coding mRNA. Interestingly, only a further minuscule part of genomic DNA encodes for long non-coding RNAs (lncRNAs) which are characteristically more than 200 nucleotides long and can be transcribed from both protein-coding (e.g. H19 and TUG1) as well as non-coding DNA by RNA polymerase II. The lncRNAs do not have open reading frames (with some exceptions), 3`-untranslated regions (3'-UTRs) and necessarily these RNAs lack any translation-termination regions, however, these can be spliced, capped and polyadenylated as mRNA molecules. The flexibility of lncRNAs confers them specific 3D-conformations that eventually enable the lncRNAs to interact with proteins, DNA or other RNA molecules via base pairing or by forming networks. The lncRNAs play a major role in gene regulation, cell differentiation, cancer cell invasion and metastasis and chromatin remodeling. Deregulation of lncRNA is also responsible for numerous diseases in mammals. Various studies have revealed their significance as biomarkers for prognosis and diagnosis of cancer. The aim of this review is to overview the salient features, evolution, biogenesis and biological importance of these molecules in the mammalian system.

• Journal of Veterinary Clinics
• /
• v.36 no.6
• /
• pp.353-357
• /
• 2019

A two-year-old spayed female Persian cat demonstrated weight loss, anorexia, and vomiting for one week. Hematologic findings suggested chronic renal failure. Radiography and ultrasonography revealed severe bilateral renomegaly with hypoechoic nodules and subcapsular hypoechoic rim. Fine needle aspiration of the kidney revealed malignant lymphoma. The cat received in-hospital treatment for chronic renal failure for seven days, followed by chemotherapy (cyclophosphamide, vincristine, and prednisolone). The cat tolerated chemotherapy well and chronic kidney disease was alleviated. However, complete remission was not achieved. After 93 days of treatment, the cat exhibited anisocoria and mental dullness. Brain magnetic resonance imaging revealed hypertrophy and enhancement of cranial nerves. Chemotherapy was replaced with lomustine (10 mg orally), and two weeks later, cytosine arabinoside (50 mg/㎡ subcutaneously), twice daily for consecutive days. Five days after substitution chemotherapy, the patient showed anemia due to severe intestinal bleeding and died. Post-mortem examination and histopathologic analysis confirmed renal T-cell lymphoma with metastasis to the central nervous system, colon, and nasal cavity. Survival time was 117 days after the diagnosis of renal lymphoma.