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| 1 | The dynamics of the piglet gut microbiome during the weaning transition in association with health and nutrition显示文摘Background: Understanding the composition of the microbial community and its functional capacity during weaning is important for pig production as bacteria play important roles in the pig's health and growth performance. However,limited information is available regarding the composition and function of the gut microbiome of piglets in early-life.Therefore, we performed 16 S rRNA gene and whole metagenome shotgun sequencing of DNA from fecal samples from healthy piglets during weaning to measure microbiome shifts, and to identify the potential contribution of the early-life microbiota in shaping piglet health with a focus on microbial stress responses, carbohydrate and amino acid metabolism.Results: The analysis of 16 S rR NA genes and whole metagenome shotgun sequencing revealed significant compositional and functional differences between the fecal microbiome in nursing and weaned piglets. The fecal microbiome of the nursing piglets showed higher relative abundance of bacteria in the genus Bacteroides with abundant gene families related to the utilization of lactose and galactose. Prevotel a and Lactobacil us were enriched in weaned piglets with an enrichment for the gene families associated with carbohydrate and amino acid metabolism. In addition, an analysis of the functional capacity of the fecal microbiome showed higher abundances of genes associated with heat shock and oxidative stress in the metagenome of weaned piglets compared to nursing piglets.Conclusions: Overal, our data show that microbial shifts and changes in functional capacities of the piglet fecal microbiome resulted in potential reductions in the effects of stress, including dietary changes that occur during weaning.These results provide us with new insights into the piglet gut microbiome that contributes to the growth of the animal. | Robin B.Guevarra Sang Hyun Hong Jin Ho Cho Bo-Ra Kim Jiwon Shin Jun Hyung Lee Bit Na Kang Young Hwa Kim Suphot Wattanaphansak Richard E.Isaacson Minho Song Hyeun Bum Kim | 2018 | Journal of Animal Science and Biotechnology2018，9，4： | 16 |
| 2 | Policy- Based Management for Self-Managing Wireless Sensor Networks 显示文摘 | Si-Ho CHA Jong-Eon LEE Minho JO HeeYong YOUN Seokjoong KANG Kuk-Hyun CHO | 2007 | IEICE TRANSACTIONS on Communications2007，，11： | 1 |
| 3 | A Novel Small Molecule Facilitates the Reprogramming of Human Somatic Cells into a Pluripotent State and Supports the Maintenance of an Undifferentiated State of Human Pluripotent Stem Cells显示文摘 | Jungwoon Lee Yan Xia Mi‐Young Son Guanghai Jin Binna Seol Min‐Jeong Kim Myung Jin Son Misol Do Minho Lee Dongsup Kim Kyeong Lee Yee Sook Cho | 2012 | Angew Chem Int Ed2012，，50： | 1 |
| 4 | Classificationand experimental analysis for clone detection approaches in wire-less sensor networks 显示文摘 | Kwantae Cho Minho Jo Taekyoung Kwon | 2013 | IEEE Systems Journal2013，7，1： | 1 |
| 5 | Association of abdominal obesity with atheroselerosis in type 2 diabetes mellitus (T2DM) in Korea显示文摘 | Minho Cho Jong Suk Park Jisun Nam | 2008 | J Korean Med Sci2008，23，5： | 1 |
| 6 | A Lane-Level Road Marking Map Using a Monocular Camera显示文摘The essential requirement for precise localization of a self-driving car is a lane-level map which includes road markings(RMs).Obviously,we can build the lane-level map by running a mobile mapping system(MMS)which is equipped with a high-end 3D LiDAR and a number of high-cost sensors.This approach,however,is highly expensive and ineffective since a single high-end MMS must visit every place for mapping.In this paper,a lane-level RM mapping system using a monocular camera is developed.The developed system can be considered as an alternative to expensive high-end MMS.The developed RM map includes the information of road lanes(RLs)and symbolic road markings(SRMs).First,to build a lane-level RM map,the RMs are segmented at pixel level through the deep learning network.The network is named RMNet.The segmented RMs are then gathered to build a lane-level RM map.Second,the lane-level map is improved through loop-closure detection and graph optimization.To train the RMNet and build a lane-level RM map,a new dataset named SeRM set is developed.The set is a large dataset for lane-level RM mapping and it includes a total of 25157 pixel-wise annotated images and 21000 position labeled images.Finally,the proposed lane-level map building method is applied to SeRM set and its validity is demonstrated through experimentation. | Wonje Jang Junhyuk Hyun Jhonghyun An Minho Cho Euntai Kim | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，1： | 0 |
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