• Title/Summary/Keyword: Frequent Patterns

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Association of polymorphisms in bone morphogenetic protein receptor-1B gene exon-9 with litter size in Dorset, Mongolian, and Small Tail Han ewes

  • Jia, Jianlei;Chen, Qian;Gui, Linsheng;Jin, Jipeng;Li, Yongyuan;Ru, Qiaohong;Hou, Shengzhen
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.7
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    • pp.949-955
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    • 2019
  • Objective: The present study was to investigate the association of polymorphisms in exon-9 of the bone morphogenetic protein receptor-1B (BMPR-1B) gene (C864T) with litter size in 240 Dorset, 232 Mongolian, and 124 Small Tail Han ewes. Methods: Blood samples were collected from 596 ewes and genomic DNA was extracted using the phenol: chloroform extraction method. The 304-bp amplified polymerase chain reaction product was analyzed for polymorphism by single-strand conformation polymorphism method. The genotypic frequency and allele frequency of BMPR-1B gene exon-9 were computed after sequence alignment. The ${\chi}^2$ independence test was used to analyze the association of genotypic frequency and litter size traits with in each ewe breed, where the phenotype was directly treated as category. Results: The results indicated two different banding patterns AA and AB for this fragment, with the most frequent genotype and allele of AA and A. Calculated Chi-square test for BMPR-1B gene exon-9 was found to be more than that of p value at the 5% level of significance, indicating that the population under study was in Hardy-Weinberg equilibrium for all ewes. The ${\chi}^2$ independence test analyses indicated litter size differences between genotypes was not the same for each breed. The 304-bp nucleotide sequence was subjected to BLAST analysis, and the C864T mutation significantly affected litter size in singletons, twins and multiples. The heterozygosity in exon-9 of BMPR-1B gene could increase litter size for all the studied ewes. Conclusion: Consequently, it appears that the polymorphism BMPR-1B gene exon-9 detected in this study may have potential use in marker assisted selection for litter size in Dorset, Mongolian, and Small Tail Han ewes.

Dental Consultations and Treatment Pattern of Pediatric Inpatient in Severance Hospital (세브란스 병원에 입원한 환자들의 소아치과 협진의뢰 내용 및 진료현황)

  • Song, Jihyeo;Lee, Koeun;Song, Je Seon;Kim, Seong-Oh;Lee, Jaeho;Choi, Hyung-jun
    • Journal of the korean academy of Pediatric Dentistry
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    • v.46 no.2
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    • pp.200-208
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    • 2019
  • The purpose of this study was to analyze the dental consultation of pediatric inpatients to the department of pediatric dentistry in Yonsei University Severance Hospital, and to investigate the change in patterns. In 2017, 268 pediatric patients (384 cases) admitted to the Severance Hospital were referred to the department of pediatric dentistry. The mean age was 6.6 years, and most of the patients were referred from the Department of Pediatric Hematology Oncology and Rehabilitation Medicine. The chief complaints were as follows: oral examination (31%), dental caries (20%), oral pain (10%), tooth mobility (10%), pre-operative evaluation (9%) and others (20%). 41% of the patients received only oral examination without treatment. Dental caries were the most frequent dental diagnosis of the patients. 28% (111 cases) of patients received operative treatments, 22 cases were treated under general anesthesia. Oral health is closely related to systemic diseases, especially for hospitalized patients. Dental consultations should be encouraged for prevention and early appropriate treatments. For this purpose, it is necessary to establish a referral system and perform dental treatment under general anesthesia.

Complications of implants confronting the extruded posterior teeth (정출된 구치와 대합되는 임플란트의 합병증)

  • Jung, Yeon-Wook;Lee, Su-Yeon;Kim, Hee-Jung
    • Journal of Dental Rehabilitation and Applied Science
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    • v.36 no.4
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    • pp.232-241
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    • 2020
  • Purpose: This study investigated the complications and patterns of implants that confronted with the extruded natural teeth. Materials and Methods: Among patients who received implant treatment between 2006 and 2018 at Chosun University Dental Hospital, only implants that had a maintenance period of at least 5 years and that both implants and confronting natural teeth could be measured and compared on a radiograph were selected. They were divided into two groups. Group 1, experimental group consisted of Implants confronting the extruded natural posterior teeth (n = 167: maxilla (Group 1max) = 92, mandible (Group 1man) = 75) and Group 2, control group consisted of Implants confronting the normal natural posterior teeth (n = 656: maxilla (Group 2max) = 272, mandible (Group 2man) = 384). Results: The incidence of complications between Group 1 and Group 2 was statistically significant. In particular, there was a statistically significant difference between the frequency of marginal bone loss and the amount of marginal bone loss. Conclusion: The extruded natural tooth may cause more frequent complications including bone resorption in the opposing implant.

Toxin Gene and Antibiotic Resistance of Staphylococcus aureus and Bacillus cereus Isolated from Indoor Air in Cafeteria (급식실 실내공기에서 분리된 황색포도상구균과 바실러스 세레우스의 독소 유전자 및 항생제 내성)

  • Oh, Do-Gyung;Jo, Ah-Hyeon;Kim, Chan-Yeong;Jeong, Eun-Sun;Kim, Jung-Beom
    • Journal of Food Hygiene and Safety
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    • v.36 no.6
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    • pp.520-527
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    • 2021
  • In this study, toxin gene and antibiotic resistance of food poisoning strains isolated from indoor air in the cafeteria were analyzed to prevent food poisoning. Staphylococcus aureus (16 strains) and Bacillus cereus (37 strains) isolated from indoor air in child care center were tested. The toxin genes of S. aureus and B. cereus were detected by PCR assay. The antimicrobial susceptibility test followed the disc diffusion method described by the Clinical and Laboratory Standard Institute. The seg and sei toxin genes were detected in 11 of 16 S. aureus strains (68.6%). The nheA and nheB toxin genes were detected in 37 B. cereus strains. In this study, a total of 12 toxin gene patterns of B. cereus were found, among which the nheA-nheB-nheC toxin gene was found to be the most frequent pattern. The result of the antimicrobial susceptibility test of S. aureus revealed 93.8% and 87.5% resistance to ampicillin and penicillin antibiotics, but methicillin resistance S. aureus and vancomycin resistance S. aureus were not detected. All 37 B. cereus tested in this study were resistant to ampicillin and penicillin antibiotics. Based on the result of this study, it was judged that regular ventilation and air quality management were necessary to prevent food poisoning caused by S. aureus and B. cereus contaminated in the indoor air of child care centers.

Spatial Point Pattern Analysis of Riparian Tree Distribution After the 2020 Summer Extreme Flood in the Seomjin River (2020년 여름 섬진강 대홍수 이후 하천 수목 분포에 대한 공간 점 패턴 분석)

  • Lee, Keonhak;Cho, Eunsuk;Cho, Jonghun;Lee, Cheolho;Kim, Hwirae;Baek, Donghae;Kim, Won;Cho, Kang-Hyun;Kim, Daehyun
    • Ecology and Resilient Infrastructure
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    • v.9 no.2
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    • pp.83-92
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    • 2022
  • The 2020 summer extreme flood severely disturbed the riparian ecosystem of the Seomjin River. Some trees were killed by the flood impact, whereas others have recovered through epicormic regeneration after the disturbance. At the same time, several tree individuals newly germinated. This research aimed to explain the recovery of the riparian ecosystem by spatial proximity between each tree individual of different characteristics, such as "dead", "recovered", and "newly germinated". A spatial point pattern analysis based on K and g-functions revealed that the newly germinated trees and the existing trees were distributed in the spatially clumping patterns. However, further detailed analysis revealed that the new trees were statistically less attracted to the recovered trees than the dead trees, implying competitive interactions hidden in the facilitative interactions. Habitat amelioration by the existing trees positively affected the growth of the new trees, while "living" existing trees were competing with the new trees for resources. This research is expected to provide new knowledge in this era of rapid climate change, which likely induces stronger and more frequent natural disturbance than before. Environmental factors have been widely used for ecosystem modeling, but species interactions, represented by the relative spatial distribution of plant individuals, are also valuable factors explaining ecosystem dynamics.

Application and Analysis of Remote Sensing Data for Disaster Management in Korea - Focused on Managing Drought of Reservoir Based on Remote Sensing - (국가 재난 관리를 위한 원격탐사 자료 분석 및 활용 - 원격탐사기반 저수지 가뭄 관리를 중심으로 -)

  • Kim, Seongsam;Lee, Junwoo;Koo, Seul;Kim, Yongmin
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1749-1760
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    • 2022
  • In modern society, human and social damages caused by natural disasters and frequent disaster accidents have been increased year by year. Prompt access to dangerous disaster sites that are inaccessible or inaccessible using state-of-the-art Earth observation equipment such as satellites, drones, and survey robots, and timely collection and analysis of meaningful disaster information. It can play an important role in protecting people's property and life throughout the entire disaster management cycle, such as responding to disaster sites and establishing mid-to long-term recovery plans. This special issue introduces the National Disaster Management Research Institute (NDMI)'s disaster management technology that utilizes various Earth observation platforms, such as mobile survey vehicles equipped with close-range disaster site survey sensors, drones, and survey robots, as well as satellite technology, which is a tool of remote earth observation. Major research achievements include detection of damage from water disasters using Google Earth Engine, mid- and long-term time series observation, detection of reservoir water bodies using Sentinel-1 Synthetic Aperture Radar (SAR) images and artificial intelligence, analysis of resident movement patterns in case of forest fire disasters, and data analysis of disaster safety research. Efficient integrated management and utilization plan research results are summarized. In addition, research results on scientific investigation activities on the causes of disasters using drones and survey robots during the investigation of inaccessible and dangerous disaster sites were described.

Time Series Patterns and Clustering of Rotifer Community in Relation with Topographical Characteristics in Lentic Ecosystems (정수생태계의 지형적인 요인 변화와 윤충류 출현 종 수 및 개체군 밀도 변동에 대한 연구)

  • Oh, Hye-Ji;Heo, Yu-Ji;Chang, Kwang-Hyeon;Kim, Hyun-Woo
    • Korean Journal of Ecology and Environment
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    • v.54 no.4
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    • pp.390-397
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    • 2021
  • The time series data of rotifer community focusing on the species number and total density were collected from 29 reservoirs located at Jeonnam Province from 2008 to 2016 quarterly. The reservoirs had similar weather condition during the study period, but their sizes and water qualities were different. To analyze the temporal dynamics of rotifer community, the medians, ranges, outliers and coefficient of variation (CV) value of rotifer species number and abundance were compared. For the temporal trend analysis, time series of each reservoir data were compared and clustered using the dynamic time warping function of the R package "dtwclust". Small-sized reservoirs showed higher variability in rotifer abundance with more frequent outliers than large-sized reservoirs. On the other hand, apparent pattern was not observed for the rotifer species number. For the temporal pattern of rotifer density, COD, phytoplankton abundance fluctuation, and cladoceran abundance fluctuation have been suggested as potential factor affecting the rotifer abundance dynamics.

Sleep Disordered Breathing in Children (어린이의 수면호흡장애)

  • Yeonmi, Yang
    • Journal of the korean academy of Pediatric Dentistry
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    • v.49 no.4
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    • pp.357-367
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    • 2022
  • Sleep disordered breathing (SDB) is a disease characterized by repeated hypopnea and apnea during sleep due to complete or partial obstruction of upper airway. The prevalence of pediatric SDB is approximately 12 - 15%, and the most common age group is preschool children aged 3 - 5 years. Children show more varied presentations, from snoring and frequent arousals to enuresis and hyperactivity. The main cause of pediatric SDB is obstruction of the upper airway related to enlarged tonsils and adenoids. If SDB is left untreated, it can cause complications such as learning difficulties, cognitive impairment, behavioral problems, cardiovascular disease, metabolic syndrome, and poor growth. Pediatric dentists are in a special position to identify children at risk for SDB. Pediatric dentists recognize clinical features related to SDB, and they should screen for SDB by using the pediatric sleep questionnaire (PSQ), lateral cephalometry radiograph, and portable sleep monitoring test and refer to sleep specialists. As a therapeutic approach, maxillary arch expansion treatment, mandible advancement device, and lingual frenectomy can be performed. Pediatric dentists should recognize that prolonged mouth breathing, lower tongue posture, and ankyloglossia can cause abnormal facial skeletal growth patterns and sleep problems. Pediatric dentists should be able to prevent these problems through early intervention.

Cat Behavior Pattern Analysis and Disease Prediction System of Home CCTV Images using AI (AI를 이용한 홈CCTV 영상의 반려묘 행동 패턴 분석 및 질병 예측 시스템 연구)

  • Han, Su-yeon;Park, Dea-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1266-1271
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    • 2022
  • Cats have strong wildness so they have a characteristic of hiding diseases well. The disease may have already worsened when the guardian finds out that the cat has a disease. It will be of great help in treating the cat's disease if the owner can recognize the cat's polydipsia, polyuria, and frequent urination more quickly. In this paper, 1) Efficient version of DeepLabCut for pose estimation, 2) YOLO v4 for object detection, 3) LSTM is used for behavior prediction, and 4) BoT-SORT is used for object tracking running on an artificial intelligence device. Using artificial intelligence technology, it predicts the cat's next, polyuria and frequency of urination through the analysis of the cat's behavior pattern from the home CCTV video and the weight sensor of the water bowl. And, through analysis of cat behavior patterns, we propose an application that reports disease prediction and abnormal behavior to the guardian and delivers it to the guardian's mobile and the server system.

Cat Behavior Pattern Analysis and Disease Prediction System of Home CCTV Images using AI (AI를 이용한 홈CCTV 영상의 반려묘 행동 패턴 분석 및 질병 예측 시스템 연구)

  • Han, Su-yeon;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.165-167
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    • 2022
  • The proportion of cat cats among companion animals has been increasing at an average annual rate of 25.4% since 2012. Cats have strong wildness compared to dogs, so they have a characteristic of hiding diseases well. Therefore, when the guardian finds out that the cat has a disease, the disease may have already worsened. Symptoms such as anorexia (eating avoidance), vomiting, diarrhea, polydipsia, and polyuria in cats are some of the symptoms that appear in cat diseases such as diabetes, hyperthyroidism, renal failure, and panleukopenia. It will be of great help in treating the cat's disease if the owner can recognize the cat's polydipsia (drinking a lot of water), polyuria (a large amount of urine), and frequent urination (urinating frequently) more quickly. In this paper, 1) Efficient version of DeepLabCut for posture prediction running on an artificial intelligence server, 2) yolov4 for object detection, and 3) LSTM are used for behavior prediction. Using artificial intelligence technology, it predicts the cat's next, polyuria and frequency of urination through the analysis of the cat's behavior pattern from the home CCTV video and the weight sensor of the water bowl. And, through analysis of cat behavior patterns, we propose an application that reports disease prediction and abnormal behavior to the guardian and delivers it to the guardian's mobile and the main server system.

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