• Title/Summary/Keyword: Body performance

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Effect of extrusion of soybean meal on feed spectroscopic molecular structures and on performance, blood metabolites and nutrient digestibility of Holstein dairy calves

  • Berenti, Ammar Mollaei;Yari, Mojtaba;Khalaji, Saeed;Hedayati, Mahdi;Akbarian, Amin;Yu, Peiqiang
    • Animal Bioscience
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    • v.34 no.5
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    • pp.855-866
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    • 2021
  • Objective: Performance and physiological responses of dairy calves may change by using extruded soybean meal (ESBM) instead of common soybean meal (SBM) in starter feed. The aims of the current study were i) to determine the effect of extrusion processing of SBM on protein electrophoretic size, fourier transform infrared spectroscopy (FTIR) structures and Cornell Net Carbohydrate and Protein System (CNCPS) protein subfractions and ii) to determine the effect of substitution of SBM with ESBM in starter feed of Holstein heifer calves during pre and post-weaning on performance, nutrient digestibility, and blood metabolites. Methods: The SBM was substituted with ESBM at the level of 0%, 25%, 50%, 75%, and 100% (dry matter [DM] basis). Fifty heifer calves (initial body weight 40.3±0.63 kg) were used for the study. After birth, animals were fed colostrum for 3 days and then they were fed whole milk until weaning. Animals had free access to starter feed and water during the study. Results: Extrusion of SBM decreased electrophoretic protein size and increased rapidly degradable true protein fraction, changed FTIR protein and amide II region. With increasing level of ESBM in the diet, starter intake increased quadratically during the pre-weaning period (p<0.05) and body weight, DM intake and average daily gain increased linearly during the post-weaning and the whole study period (p<0.05). Tbe DM and crude protein digestibilities at week 14 and blood glucose and beta hydroxybutyric acid increased linearly in calves as the level of ESBM increased in the diet (p<0.05). Conclusion: Dairy calves performance and physiological responses were sensitive to SBM protein characteristics including electrophoretic size, FTIR structures and CNCPS protein fractions.

Comparison of excess post-exercise oxygen consumption of different exercises in normal weight obesity women

  • Jung, Won-Sang;Hwang, Hyejung;Kim, Jisu;Park, Hun-Young;Lim, Kiwon
    • Korean Journal of Exercise Nutrition
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    • v.23 no.2
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    • pp.22-27
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    • 2019
  • [Purpose] The purpose of this study was to compare the excess post-exercise oxygen consumption (EPOC) between different types of exercises in women with normal weight obesity (NWO). [Methods] Nine university students with NWO having body mass index <25 kg/m2 and body fat percentage >30% participated in the study. First, continuous exercise (CEx) on an ergometer for 30 minutes at 60% of maximal oxygen consumption (VO2max) and interval exercise (IEx) at 80% VO2max for 2 minutes were performed. This was followed by exercise performed at 40% VO2max for 1 minute and at 80% VO2max for 3 minutes, performed 6 times repeatedly for a total of 26 minutes. The accumulation of short duration exercise (AEx) was performed for 3-bouts of 10 minutes each at 60% VO2max. [Results] The major findings were as follows: energy consumption during the exercises showed no significant difference between CEx, IEx, and AEx; EPOC was higher in IEx and AEx as compared to CEx for all dependent variables (e.g. total oxygen consumption, total calorie, summation of heart rate, and EPOC duration); and the lipid profile showed no significant difference. [Conclusions] Our study confirmed that when homogenizing the energy expenditure for various exercises in NWO individuals, EPOC was higher in IEx and AEx than in CEx. Therefore, IEx and AEx can be considered as effective exercise methods for increasing energy expenditure in NWO females.

Bacillus amyloliquefaciens and Saccharomyces cerevisiae feed supplements improve growth performance and gut mucosal architecture with modulations on cecal microbiota in red-feathered native chickens

  • Lee, Tzu-Tai;Chou, Chung-Hsi;Wang, Chinling;Lu, Hsuan-Ying;Yang, Wen-Yuan
    • Animal Bioscience
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    • v.35 no.6
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    • pp.869-883
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    • 2022
  • Objective: The aim of study was to investigate the effects of in-feed supplementation of Bacillus amyloliquefaciens (BA) and Saccharomyces cerevisiae (SC) on growth performance, gut integrity, and microbiota modulations in red-feathered native chickens (RFCs). Methods: A total of 18,000 RFCs in a commercial farm were evenly assigned into two dietary treatments (control diet; 0.05% BA and 0.05% SC) by randomization and raised for 11 weeks in two separate houses. Fifty RFCs in each group were randomly selected and raised in the original house with the partition for performance evaluations at the age of 9 and 11 weeks. Six non-partitioned RFCs per group were randomly selected for analyses of intestinal architecture and 16S rRNA metagenomics. Results: Feeding BA and SC increased the body weight and body weight gain, significantly at the age of 11 weeks (p<0.05). The villus height/crypt ratio in the small intestines and Firmicutes to Bacteroidetes ratio were also notably increased (p<0.05). The supplementation did not disturb the microbial community structure but promote the featured microbial shifts characterized by the significant increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas, following remarkable decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas in RFCs with growth benefits. Besides, functional pathways of peptidoglycan biosynthesis, nucleotide excision repair, glycolysis/gluconeogenesis, and aminoacyl transfer ribonucleic acid (tRNA) biosynthesis were significantly promoted (p<0.05). Conclusion: In-feed supplementation of BA and SC enhanced the growth performance, improved mucosal architectures in small intestines, and modulated the cecal microbiota and metabolic pathways in RFCs.

Effects of supplemented sodium butyrate on the in vitro rumen fermentation and growth performance of Hanwoo calves

  • Chae Hwa, Ryu;Byeonghyeon, Kim;Seul, Lee;Hyunjung, Jung;Youl Chang, Baek
    • Korean Journal of Agricultural Science
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    • v.48 no.4
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    • pp.957-963
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    • 2021
  • The study aimed to investigate the effects of supplemented sodium butyrate on the in vitro rumen fermentation and growth performance of Hanwoo calves. In total, four treatments were employed according to the sodium butyrate levels: no addition (control), an addition of 0.1% (treatment 1), an addition of 0.3% (treatment 2), and an addition of 0.5% (treatment 3). After 48 hours of fermentation, the ruminal pH was found to be higher in T1 than in C. Total volatile fatty acids were significantly higher in T2 and T3 than in C. The ratio of acetate and propionate was significantly lower in T1 and T3 than in C. In this study, the optimal concentration to promote rumen fermentation was found to be 0.3%, i.e., T2, and an experiment on Hanwoo calves at a farm was conducted. However, there were no significant differences between the treatment groups in terms of the daily weight gain, feed conversion ratio, and final body weight in the feeding experiment. Also, there were no significant differences in the body length, withers height, and height at hip cross between the control and the treatment groups. The addition of 0.3% sodium butyrate was most effective at promoting in vitro rumen fermentation, but it did not significantly affect the growth performance when fed to Hanwoo calves. This indicates that the addition of sodium butyrate improved rumen fermentation but did not have a growth-promoting effect. Future studies need to compare growth and carcass performance outcomes to confirm long-term effects.

Development and performance evaluation of lateral control simulation-based multi-body dynamics model for autonomous agricultural tractor

  • Mo A Son;Hyeon Ho Jeon;Seung Yun Baek;Seung Min Baek;Wan Soo Kim;Yeon Soo Kim;Dae Yun Shin;Ryu Gap Lim;Yong Joo Kim
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.773-784
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    • 2023
  • In this study, we developed a dynamic model and steering controller model for an autonomous tractor and evaluated their performance. The traction force was measured using a 6-component load cell, and the rotational speed of the wheels was monitored using proximity sensors installed on the axles. Torque sensors were employed to measure the axle torque. The PI (proportional integral) controller's coefficients were determined using the trial-error method. The coefficient of the P varied in the range of 0.1 - 0.5 and the I coefficient was determined in 3 increments of 0.01, 0.05, and 0.1. To validate the simulation model, we conducted RMS (root mean square) comparisons between the measured data of axle torque and the simulation results. The performance of the steering controller model was evaluated by analyzing the damping ratio calculated with the first and second overshoots. The average front and rear axle torque ranged from 3.29 - 3.44 and 6.98 - 7.41 kNm, respectively. The average rotational speed of the wheel ranged from 29.21 - 30.55 rpm at the front, and from 21.46 - 21.63 rpm at the rear. The steering controller model exhibited the most stable control performance when the coefficients of P and I were set at 0.5 and 0.01, respectively. The RMS analysis of the axle torque results indicated that the left and right wheel errors were approximately 1.52% and 2.61% (at front) and 7.45% and 7.28% (at rear), respectively.

Performance Comparison and Error Analysis of Korean Bio-medical Named Entity Recognition (한국어 생의학 개체명 인식 성능 비교와 오류 분석)

  • Jae-Hong Lee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.4
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    • pp.701-708
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    • 2024
  • The advent of transformer architectures in deep learning has been a major breakthrough in natural language processing research. Object name recognition is a branch of natural language processing and is an important research area for tasks such as information retrieval. It is also important in the biomedical field, but the lack of Korean biomedical corpora for training has limited the development of Korean clinical research using AI. In this study, we built a new biomedical corpus for Korean biomedical entity name recognition and selected language models pre-trained on a large Korean corpus for transfer learning. We compared the name recognition performance of the selected language models by F1-score and the recognition rate by tag, and analyzed the errors. In terms of recognition performance, KlueRoBERTa showed relatively good performance. The error analysis of the tagging process shows that the recognition performance of Disease is excellent, but Body and Treatment are relatively low. This is due to over-segmentation and under-segmentation that fails to properly categorize entity names based on context, and it will be necessary to build a more precise morphological analyzer and a rich lexicon to compensate for the incorrect tagging.

The Effect of Castration on Growth and Body Composition of Javan Rusa Stags

  • Sookhareea, R.;Woodford, K.B.;Dryden, G. McL.
    • Asian-Australasian Journal of Animal Sciences
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    • v.14 no.5
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    • pp.608-614
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    • 2001
  • The effects of castration on growth and body composition of Javan rusa (Cervus timorensis russa) stags were examined at three slaughter ages in three experiments. Castration had no effects on growth rates, or liveweights at periodic weighings, at any stage in Experiments 1 and 2, when the stags were slaughtered at 19 and 13 months of age, respectively. In Experiment 3, monthly liveweights of castrated and entire stags were not significantly different until the stags were 21 months old. From this age, when they had recovered from their first rut season and were in their second spring/early summer, the entires grew more rapidly than the castrates. There were seasonal changes in growth in both treatments, indicating that pasture conditions influenced performance. Liveweights of entires and castrates were similar in stags slaughtered at 13 and 19 months, but castrates were smaller than entires at 25 months. Castration reduced the size of the head and skin, but there was little important effect of castration on body components at any slaughter age. Castration can be recommended as a management tool for rusa stags, especially if the animals are to be slaughtered before they exceed 19 months of age.

Analysis of Domestic Patent Trends Related to Functional Clothing Products for Daily Wearable Human Body Protection and Correction (일상 착용형 인체 보호 및 교정 기능성 의류제품 관련 국내 특허 동향 분석)

  • Lee, Ah Lam;Han, Hyunjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.4
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    • pp.764-775
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    • 2020
  • Lifespans are increasing and many consumers are interested in health issues in these busy modern days, developing functional clothing that can be worn everyday is one of the competitive solutions in the oversaturated clothing market. When developing a new item with a fresh idea, it is important to look into prior art beforehand to avoid unnecessary intellectual property right-related disputes. This study investigates Korean domestic patents and utility models about functional clothing in terms of human body performance and health promotion in order to suggest essential data to relevant developers. We selected 324 patents and utility models and made an analysis according to the year, functions, applied technologies, frequency of claims, target wearers and item types. We found problems in current functional clothing patent application trends and suggested new aspects when developing innovative functional clothing items. Data was limited to Korean domestic patents; however, this study is still meaningful giving references to technology roadmaps and encouraging new intellectual property development.

Simulation of Three-Dimensional Turbulent Flows around an Ahmed Body-Evaluation of Turbulence Models- (Ahmed Body 주위의 3차원 난류유동 해석 - 난류모델의 평가)

  • Myong, H.K.;Jin, E.;Park, H.K.
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.21 no.7
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    • pp.873-881
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    • 1997
  • A numerical simulation has been carried out for three-dimensional turbulent flows around an Ahmed body. The Reynolds-averaged Navier-Stokes equation is solved with the SIMPLE method in general curvilinear coordinates system. Several k-.epsilon. turbulence models with two convective difference schemes are evaluated for the performance such as drag coefficient, velocity and pressure fields. The drag coefficient, the velocity and pressure fields are found to be changed considerably with the adopted k-.epsilon. turbulence models as well as the finite difference schemes. The results of simulation prove that the RNG k-.epsilon. model with the QUICK scheme predicts fairly well the tendency of velocity and pressure fields and gives more reliable drag coefficient. It is also demonstrated that the large difference between simulations and experiment in the drag coefficient is due to relatively high predicted values of pressure drag from vertical rear end base.

A Framework for Human Body Parts Detection in RGB-D Image (RGB-D 이미지에서 인체 영역 검출을 위한 프레임워크)

  • Hong, Sungjin;Kim, Myounggyu
    • Journal of Korea Multimedia Society
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    • v.19 no.12
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    • pp.1927-1935
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    • 2016
  • This paper propose a framework for human body parts in RGB-D image. We conduct tasks of obtaining person area, finding candidate areas and local detection in order to detect hand, foot and head which have features of long accumulative geodesic distance. A person area is obtained with background subtraction and noise removal by using depth image which is robust to illumination change. Finding candidate areas performs construction of graph model which allows us to measure accumulative geodesic distance for the candidates. Instead of raw depth map, our approach constructs graph model with segmented regions by quadtree structure to improve searching time for the candidates. Local detection uses HOG based SVM for each parts, and head is detected for the first time. To minimize false detections for hand and foot parts, the candidates are classified with upper or lower body using the head position and properties of geodesic distance. Then, detect hand and foot with the local detectors. We evaluate our algorithm with datasets collected Kinect v2 sensor, and our approach shows good performance for head, hand and foot detection.