• 제목/요약/키워드: p-set

검색결과 3,467건 처리시간 0.027초

Effect of graded levels of soapnut (Sapindus mukorossi) shell powder on reproductive performance in broiler breeders

  • Chaudhary, S.K.;Mandal, A.B.;Bhar, R.;Gopi, M.;Kannan, A.;Jadhav, S.E.;Rokade, J.J.
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권1호
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    • pp.118-125
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    • 2019
  • Objective: This study investigated the effects of soapnut (Sapindus mukorossi) shell powder (SSP) on serum hormone level, egg quality, semen characteristics and reproductive performance of broiler breeders fed with a maize-soybean meal based diet. Methods: Ninety six female and twenty four male CARIBRO-VISHAL broiler breeders, 38-week old, were individually caged and randomly allocated to four treatment groups (24 female breeders/treatment and 6 male breeders/treatment): an un-supplemented control (T1) and three groups with 0.0176% SSP (group T2), 0.026% SSP (group T3) and 0.0528% SSP (group T4), to have supplementary saponin at 0, 50, 75, and 150 ppm, respectively, for 42 days. Results: The results indicated that serum (p<0.001) and seminal plasma (p<0.05) testosterone level, semen volume (p<0.001), mass motility (p<0.001), and live spermatozoa count (p<0.001) was increased in groups T3 and T4 compared to T2 and control groups. Compared with control group, total sperm count was increased (p<0.001) and dead spermatozoa count was decreased (p<0.001) in SSP supplemented groups. Supplementation of SSP did not affected the quality of egg lay. Compared with control group, fertility (p<0.01) and hatchability (total eggs set and fertile eggs set) (p<0.001) were significantly improved in SSP supplemented groups with the highest improvement in T3 treatment group. Embryonic death was decreased (p<0.001) in SSP supplemented groups compared to control; lowest embryonic death was recorded in T3 treatment group. Conclusion: Thus, it was concluded that dietary supplementation of 0.026% SSP (saponin equivalent 75 ppm) improved the reproductive performance of broiler breeders.

A New Approach Using the SYBR Green-Based Real-Time PCR Method for Detection of Soft Rot Pectobacterium odoriferum Associated with Kimchi Cabbage

  • Yong Ju, Jin;Dawon, Jo;Soon-Wo, Kwon;Samnyu, Jee;Jeong-Seon, Kim;Jegadeesh, Raman;Soo-Jin, Kim
    • The Plant Pathology Journal
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    • 제38권6호
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    • pp.656-664
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    • 2022
  • Pectobacterium odoriferum is the primary causative agent in Kimchi cabbage soft-rot diseases. The pathogenic bacteria Pectobacterium genera are responsible for significant yield losses in crops. However, P. odoriferum shares a vast range of hosts with P. carotovorum, P. versatile, and P. brasiliense, and has similar biochemical, phenotypic, and genetic characteristics to these species. Therefore, it is essential to develop a P. odoriferumspecific diagnostic method for soft-rot disease because of the complicated diagnostic process and management as described above. Therefore, in this study, to select P. odoriferum-specific genes, species-specific genes were selected using the data of the P. odoriferum JK2.1 whole genome and similar bacterial species registered with NCBI. Thereafter, the specificity of the selected gene was tested through blast analysis. We identified novel species-specific genes to detect and quantify targeted P. odoriferum and designed specific primer sets targeting HAD family hydrolases. It was confirmed that the selected primer set formed a specific amplicon of 360 bp only in the DNA of P. odoriferum using 29 Pectobacterium species and related species. Furthermore, the population density of P. odoriferum can be estimated without genomic DNA extraction through SYBR Green-based real-time quantitative PCR using a primer set in plants. As a result, the newly developed diagnostic method enables rapid and accurate diagnosis and continuous monitoring of soft-rot disease in Kimchi cabbage without additional procedures from the plant tissue.

쑥 추출물이 첨가된 Set-Type Yoghurt의 발효 특성 (Fermentation Characteristics of Set-Type Yoghurt from Milk Added with Mugwort Extract)

  • 배인휴;홍기룡;오동환;박정로;최성희
    • 한국축산식품학회지
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    • 제20권1호
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    • pp.21-29
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    • 2000
  • This study was carried out to investigate the fermentation characteristics and storage of set-type yoghurt added mugwort extracts(AME) such as pH, growth of lactic acid bacteria, number of viable cells, viscosity, and sensory characteristics during 24 hours fermentation and 15 days storage. Addition of mugwort extracts was grown rapidly of lactic acid bacteria rather than that of control and also 4 or 8% AME groups were grown similar to control. The drop of AME pH of broth was less compared with control during incubation of lactic acid bacteria. The growth of lactic acid bacteria during incubation of AME yoghurt was not different of viable cell count between AME group and control in beginning time, but the viable cell count of AME groups were increased depended opon addition quantity of AME in ending time. Addition of mugwort extracts was not affect on pH change during yoghurt fermentation and increased a lactic acid bacteria number as well as no effect of yoghurt fermentation in ending time. The viscosity of yoghurt was almost not changed 3 hours after yoghurt mix and increased rapidly 6 hours after yoghurt mix. Although control and 0.5% AME group showed maximum viscosity at 18 hours of fermentation, 1 and 2% AME group showed linear increase until 24 hours of fermentation. Mugwort did not affect pH and viable cel number of lactic acid bacteria during 15 days storage 24 hours after fermentation. Sensory evaluation of the AME yoghurt showed that flavour, texture and acid taste were not affected by addition of mugwort. However, the appearance and taste were dropped by addition of mugwort.

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중년 남성의 직장내 영양교육 프로그램 개발 및 평가 (Development and Evaluation of Nutrition Education Program for Middle Aged Men at Worksite)

  • 우미경;제갈성아;김성애
    • 대한지역사회영양학회지
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    • 제3권2호
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    • pp.261-272
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    • 1998
  • The purpose of this study was to develop, implement and evaluate a nutrition education program for middle aged men at a worksite. To be read easily, induce interest, and selected at need, seven 6-page leaflet aets were developed, which was the most preferable from chosen by the subjects. The contents of leaflet set were [Changing life style], [Good food habit],[Weight control and diet],[Cardiovascualr disease and diet], [Alimentary disease and diet],[Diaabetes and diet],and [Liver disease and diet]. Nutrition education was provided for 61 middle aged men(30 professors, 31 office workers) at a worksite from 40 mins to one hour. And the level of nutrition knowledge and nutrition attitude were tested to evaluate the effects of the nutrition education program with a developed leaflet set before and after nutrition education. After the nutrition deucation. the nutrition knowledge score had increased significantly at p<0.001, from average 9.3 point to 11.4 point. The level of nutrition knowledge was increased significantly at p<0.001, and the prevalence of misconceptions and the uncertainty of knowledge were decreased significantly at p<0.05. There was a significant difference between professors and office workers both before and after the program. Also, there was a significant increase in the attitude about nutrition score after the program and this means that the subjects were flexibly more open minded about nutrition than before(from 39.9 point, at p<0.001). The difference in the nutrition attitude score between professors and office workers was not significant both before and after the nutrition deucation. The developed leaflet set was evaluated very positively in understanding, interest, timing, and usage by the subjects.

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DIMPLE-II: Dynamic Membership Protocol for Epidemic Protocols

  • Sun, Jin;Choi, Byung-K.;Jung, Kwang-Mo
    • Journal of Computing Science and Engineering
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    • 제2권3호
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    • pp.249-273
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    • 2008
  • Epidemic protocols have two fundamental assumptions. One is the availability of a mechanism that provides each node with a set of log(N) (fanout) nodes to gossip with at each cycle. The other is that the network size N is known to all member nodes. While it may be trivial to support these assumptions in small systems, it is a challenge to realize them in large open dynamic systems, such as peer-to-peer (P2P) systems. Technically, since the most fundamental parameter of epidemic protocols is log(N), without knowing the system size, the protocols will be limited. Further, since the network churn, frequently observed in P2P systems, causes rapid membership changes, providing a different set of log(N) at each cycle is a difficult problem. In order to support the assumptions, the fanout nodes should be selected randomly and uniformly from the entire membership. This paper investigates one possible solution which addresses both problems; providing at each cycle a different set of log(N) nodes selected randomly and uniformly from the entire network under churn, and estimating the dynamic network size in the number of nodes. This solution improves the previously developed distributed algorithm called Shuffle to deal with churn, and utilizes the Shuffle infrastructure to estimate the dynamic network size. The effectiveness of the proposed solution is evaluated by simulation. According to the simulation results, the proposed algorithms successfully handle network churn in providing random log(N0 fanout nodes, and practically and accurately estimate the network size. Overall, this work provides insights in designing epidemic protocols for large scale open dynamic systems, where the protocols behave autonomically.

하악 전돌 환자의 하악지 시상분할 골절단술 후의 골격성 회귀 양상 (SKELETAL RELAPSE PATTERN AFTER SAGITTAL SPLIT RAMUS OSTEOTOMY OF MANDIBULAR PROGNATHIC PATIENT.)

  • 류권우;신완철;김정기
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제23권1호
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    • pp.21-30
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    • 2001
  • The purpose of this study was to evaluate the skeletal relapse pattern of the mandibular prognathic patients after mandibular set back surgery by sagittal split ramus osteotomy. The horizontal and vertical position of the cephalometric points were measured before, after surgery and after one-year follow up period. The next, the positional change of the proximal and distal mandibular segment were evaluated respectively. The obtained results were as follows; 1. The horizontal and vertical position of Cd was not changed before and after surgery, and it was maintained its original position during the observation periods. 2. As the mandibular prognathism of the patients was severe before surgery, the more skeletal relapse tendency was observed during follow-up period(p<0.05). 3. As the horizontal positional change of the mandible which was obtained by mandibular set-back surgery was large, the more horizontal relapse tendency was observed during follow-up period(p<0.05). 4. The corpus axis angle decreased by sagittal split ramus osteotomy(p<0.01), but it was kept its reoriented position during follow-up period. 5. During the follow-up period after mandibular set-back by sagittal split ramus osteotomy, the forward relapse of mandible correlated with not only the forward rotation of the proximal segment but also the forward movement of the distal segment(p<0.05).

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Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs

  • Jae Won Choi;Yeon Jin Cho;Ji Young Ha;Yun Young Lee;Seok Young Koh;June Young Seo;Young Hun Choi;Jung-Eun Cheon;Ji Hoon Phi;Injoon Kim;Jaekwang Yang;Woo Sun Kim
    • Korean Journal of Radiology
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    • 제23권3호
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    • pp.343-354
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    • 2022
  • Objective: To develop and evaluate a deep learning-based artificial intelligence (AI) model for detecting skull fractures on plain radiographs in children. Materials and Methods: This retrospective multi-center study consisted of a development dataset acquired from two hospitals (n = 149 and 264) and an external test set (n = 95) from a third hospital. Datasets included children with head trauma who underwent both skull radiography and cranial computed tomography (CT). The development dataset was split into training, tuning, and internal test sets in a ratio of 7:1:2. The reference standard for skull fracture was cranial CT. Two radiology residents, a pediatric radiologist, and two emergency physicians participated in a two-session observer study on an external test set with and without AI assistance. We obtained the area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity along with their 95% confidence intervals (CIs). Results: The AI model showed an AUROC of 0.922 (95% CI, 0.842-0.969) in the internal test set and 0.870 (95% CI, 0.785-0.930) in the external test set. The model had a sensitivity of 81.1% (95% CI, 64.8%-92.0%) and specificity of 91.3% (95% CI, 79.2%-97.6%) for the internal test set and 78.9% (95% CI, 54.4%-93.9%) and 88.2% (95% CI, 78.7%-94.4%), respectively, for the external test set. With the model's assistance, significant AUROC improvement was observed in radiology residents (pooled results) and emergency physicians (pooled results) with the difference from reading without AI assistance of 0.094 (95% CI, 0.020-0.168; p = 0.012) and 0.069 (95% CI, 0.002-0.136; p = 0.043), respectively, but not in the pediatric radiologist with the difference of 0.008 (95% CI, -0.074-0.090; p = 0.850). Conclusion: A deep learning-based AI model improved the performance of inexperienced radiologists and emergency physicians in diagnosing pediatric skull fractures on plain radiographs.

A GENERIC RESEARCH ON NONLINEAR NON-CONVOLUTION TYPE SINGULAR INTEGRAL OPERATORS

  • Uysal, Gumrah;Mishra, Vishnu Narayan;Guller, Ozge Ozalp;Ibikli, Ertan
    • Korean Journal of Mathematics
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    • 제24권3호
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    • pp.545-565
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    • 2016
  • In this paper, we present some general results on the pointwise convergence of the non-convolution type nonlinear singular integral operators in the following form: $$T_{\lambda}(f;x)={\large\int_{\Omega}}K_{\lambda}(t,x,f(t))dt,\;x{\in}{\Psi},\;{\lambda}{\in}{\Lambda}$$, where ${\Psi}$ = and ${\Omega}$ = stand for arbitrary closed, semi-closed or open bounded intervals in ${\mathbb{R}}$ or these set notations denote $\mathbb{R}$, and ${\Lambda}$ is a set of non-negative numbers, to the function $f{\in}L_{p,{\omega}}({\Omega})$, where $L_{p,{\omega}}({\Omega})$ denotes the space of all measurable functions f for which $\|{\frac{f}{\omega}}\|^p$ (1 ${\leq}$ p < ${\infty}$) is integrable on ${\Omega}$, and ${\omega}:{\mathbb{R}}{\rightarrow}\mathbb{R}^+$ is a weight function satisfying some conditions.

회귀분석에 의한 토양내 PAH 농도 예측에 관한 연구 (Prediction of PAH Concentration in Soil using Regression Analysis)

  • 김종오;박수호;이우범
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제22권2호
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    • pp.26-32
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    • 2017
  • Regression analyses were conducted for prediction of benzo(a)pyrene (BaP) and total polycyclic aromatic hydrocarbons (PAHs) in soils. Dimensionless units were applied after each PAH was divided by naphthalene (Nap) for the regression analyses using a previously published Swiss data set or all data sets, including Chinese and Brazilian. A strong correlation was found between BaP/Nap ($R^2=0.95$) or ${\Sigma}PAH/Nap$ ($R^2=0.99$) and Pyr/Nap ratios from the Swiss data set. When the developed prediction equation was applied to other measurements to validate its accuracy, there was great agreement between the data and predicted values. This model could be used as a useful tool for the calculation of average BaP and ΣPAH in specific regions without additional tests.