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Low-dose of organic trace minerals reduced fecal mineral excretion without compromising performance of laying hens

  • Qiu, Jialing;Lu, Xintao;Ma, Lianxiang;Hou, Chuanchuan;He, Junna;Liu, Bing;Yu, Dongyou;Lin, Gang;Xu, Jiming
    • Asian-Australasian Journal of Animal Sciences
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    • v.33 no.4
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    • pp.588-596
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    • 2020
  • Objective: The objective of this study was to investigate the effects of low doses of organic trace minerals (iron, copper, manganese, and zinc) on productive performance, egg quality, yolk and tissue mineral retention, and fecal mineral excretion of laying hens during the late laying period. Methods: A total of 405 healthy hens (HY-Line White, 50-week-old) were randomly divided into 3 treatments, with 9 replicates per treatment and 15 birds per replicate. The dietary treatments included feeding a basal diet + inorganic trace minerals at commercial levels (CON), a basal diet + inorganic trace minerals at 1/3 commercial levels (ITM), and a basal diet + proteinated trace minerals at 1/3 commercial levels (TRT). The trial lasted for 56 days. Results: Compared to CON, ITM decreased (p<0.05) egg production, daily egg mass, albumen height, eggshell strength, yolk Fe concentration, serum alkaline phosphatase activity and total protein, and increased (p<0.05) egg loss and feed to egg ratio. Whereas with productive performance, egg quality, yolk mineral retention, and serum indices there were no differences (p>0.05) between CON and TRT. The concentrations of Fe and Mn in the tissue and tibia were changed notably in ITM relative to CON and TRT. Both ITM and TRT reduced (p<0.05) fecal mineral excretion compared to CON. Conclusion: These results indicate that dietary supplementation of low-dose organic trace minerals reduced fecal mineral excretion without negatively impacting hen performance and egg quality.

Use of autonomous maximal smile to evaluate dental and gingival exposure

  • Wang, Shuai;Lin, Hengzhe;Yang, Yan;Zhao, Xin;Mei, Li;Zheng, Wei;Li, Yu;Zhao, Zhihe
    • The korean journal of orthodontics
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    • v.48 no.3
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    • pp.182-188
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    • 2018
  • Objective: This study was performed to validate the autonomous maximal smile (AMS) as a new reference for evaluating dental and gingival exposure. Methods: Digital video clips of 100 volunteers showing posed smiles and AMS at different verbal directives were recorded for evaluation a total of three times at 1-week intervals. Lip-teeth relationship width (LTRW) and buccal corridor width (BCW) were measured. LTRW represented the vertical distance between the inferior border of the upper vermilion and the edge of the maxillary central incisors. Intraclass correlation coefficients (ICCs) for reproducibility, and the m-value (minimum number of repeated measurements required for an ICC level over 0.75), were calculated. Results: LTRW and BCW of the AMS were 1.41 and 2.04 mm, respectively, greater than those of the posed smile (p < 0.05), indicating significantly larger dental and gingival exposure in the AMS. The reproducibility of the AMS (0.74 to 0.77) was excellent, and higher than that of the posed smile (0.62 to 0.65), which had fair-to-good reproducibility. Moreover, the m-value of the AMS (0.88 to 1.05) was lower than that of the posed smile (1.59 to 1.85). Conclusions: Compared to the posed smile, the AMS shows significantly larger LTRW and BCW, with significantly higher reproducibility. The AMS might serve as an adjunctive reference, in addition to the posed smile, in orthodontic and other dentomaxillofacial treatments.

Effect of Feeding Bacillus subtilis natto on Hindgut Fermentation and Microbiota of Holstein Dairy Cows

  • Song, D.J.;Kang, H.Y.;Wang, J.Q.;Peng, H.;Bu, D.P.
    • Asian-Australasian Journal of Animal Sciences
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    • v.27 no.4
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    • pp.495-502
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    • 2014
  • The effect of Bacillus subtilis natto on hindgut fermentation and microbiota of early lactation Holstein dairy cows was investigated in this study. Thirty-six Holstein dairy cows in early lactation were randomly allocated to three groups: no B. subtilis natto as the control group, B. subtilis natto with $0.5{\times}10^{11}cfu$ as DMF1 group and B. subtilis natto with $1.0{\times}10^{11}cfu$ as DMF2 group. After 14 days of adaptation period, the formal experiment was started and lasted for 63 days. Fecal samples were collected directly from the rectum of each animal on the morning at the end of eighth week and placed into sterile plastic bags. The pH, $NH_3$-N and VFA concentration were determined and fecal bacteria DNA was extracted and analyzed by DGGE. The results showed that the addition of B. subtilus natto at either treatment level resulted in a decrease in fecal $NH_3$-N concentration but had no effect on fecal pH and VFA. The DGGE profile revealed that B. subtilis natto affected the population of fecal bacteria. The diversity index of Shannon-Wiener in DFM1 decreased significantly compared to the control. Fecal Alistipes sp., Clostridium sp., Roseospira sp., beta proteobacterium were decreased and Bifidobacterium was increased after supplementing with B. subtilis natto. This study demonstrated that B. subtilis natto had a tendency to change fecal microbiota balance.

Beneficial Effects of Dietary Antiacarcinogenic Conjugated Linoleic Acid(CLA) on the Performances of Laying Hens and Broilers

  • Byon, Jai-II;Park, Sook-Jahr;Park, Kyung-Ahr;Ha, Jeung-Key;Kim, Jeong-Ok;Ha, Yeong-Lae
    • Preventive Nutrition and Food Science
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    • v.1 no.1
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    • pp.99-105
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    • 1996
  • Effects of conjugated linoleic acid(CLA), known as an effective anticarcinogen in several aminal models, on the egg production and egg weight of laying hens, and the weight gains of broilers were investigated. CLA was synthesized from corn oil by the alkaline isomerization method and purified by the low-temperature precipitation method. Diets for laying hens and for broilers were synthesized to meet the specification of their NRC standard rationals. Two separated experiments(Experiment I and II) were conducted for laying hens. in experiment I, 45 hens(300 days of age) were divided into 15 hens per treatment group; each hen was housed in wired cage located in a temperature and humidity-controlled house and adopted to the control diet. One week later, each group was subjected to one the four treatment groups for 5 weeks : control, 1.0% CLA, 2.5% CLA and 5.0% CLA diets. Diet and water were ad libitum. The condition of experiment II was the same as that of experiment I except for the addition of 5% corn oil diet and the extension of feeding period to 7 weeks. Egg production, egg weight and feed intake were recorded every week. Forty-five broilers(10day of age) were adopted to the control diet for a week and then switched to the treatment diets for 5 weeks : control, 1.0% CLA, 2.5% CLA, 5% CLA and 5% corn oil, Body weight and feed intake of broilers were measured every week. Diets supplemented with various amounts of CLA enhanced the egg production and increased the egg weight regardless laying hen's age(150 days or 300 days) as compared to control diet. The most effective diet for the egg production and egg weight of young hens(150 days of age) was found to be 1.0% CLA diet, but relatively higher CLA diet(2.5% CLA) was required for old hens (300 day of age) to obtain similar results as seen in younger hens. All hens treated with CLA ate greater amount of feed than control hens. Broilers treated with various amount of CLA ate less feed as compared to control ones, but the body weight gain was greater than the control broilers. These results indicate that CLA enhanced the egg production and agg weight of laying hens, and increased the body weight gain of broilers with less diet consumption.

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Probabilistic Optimal Weekly Coordination of Thermal-Pumped Storage Power System based on the Maximum Principle (최대원리에 의한 화력-양수발전시스템의 확률적 운전시뮬레이션 모델)

  • Lee, Bong-Yong;Shim, Keon-Bo
    • Proceedings of the KIEE Conference
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    • 1991.07a
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    • pp.411-416
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    • 1991
  • Operation simulation is a key factor to evaluate investment and operation in a power utility. Probabilistic production simulation is of major concern. With pumped-storage plant, production simulation is not an easy task, because its economy should fully be exploited. In addition, usual operation interval is a week rather than a day. Most existing models are based on approximate production simulation such as adopting simple priority orders of generations. This study is based on the more elaborate model developed by authors. Further, a policy of weekly coordination is established based on the Maximum Principle. Chronological load curve instead of usual load duration curve is used and the accuracy in simulation is enhahced. Resulting economics are compared. Deviation between these two toad curve is shown.

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Population Dynamics of Mustard Aphid, Lipaphis erysimi (Kaltenbach) as Influenced by Abiotic Factors and Different Rapeseed Mustard Genotypes

  • Roy, Santosh-Kumar;Kanchan Baral
    • International Journal of Industrial Entomology and Biomaterials
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    • v.4 no.1
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    • pp.69-76
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    • 2002
  • Mustard aphid, Lipaphis erysimi(Kalt.) plays a key role in determining the productivity of rapeseed-mustard. This pest alone attributes 30-70% losses in yield potential in different agro climatic zones with a mean loss of 54.2% in India. Considering the extent of damage caused by the pest, the present experiment was conducted at Pulses and Oilseeds Research Station during 1992-93 to 1994-95 to study the migratory nature of mustard aphid by trapping them in yellow colour pan tray and their simultaneous growth and development on three different genotypes. The temperature during noon hours is the predominant factor to govern the appearance of alate mustard aphid in rapeseed-mustard field. Stepwise regression analysis revealed that temperature and relative humidity played an important role for its development. The variety RW white flower glossy stem harboured minimum number of aphid in comparison to other two varieties B 9 and T6342. The population reached a peak of 61.28 aphids/10 cm central twig during $6^{th}$ standard week irrespective of varieties.

Variation of Load Management Incentive Considering Prenotification Period (예고기간별 차이를 반영한 부하조정제도 지원금 차등방안)

  • Won, Jong-Ryul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.11
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    • pp.1578-1583
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    • 2012
  • There are 3 systems in incentive-based normal load management in Korea; day or hour-ahead, week-ahead, months-ahead. These are originally similar in their operational implementation, but differ in their pre-notification period. Therefore the incentive of these systems should be different according to prenotification period. This is the key problem in implementing these load managements. Customers participating in these load managements feel their economic differences, depending on the risk by prenotification dates. The shorter prenotification period, the more risk take the customers. This paper proposes the method of incentive variation in prenotification difference, by using the theory of financial yield curve, which is used in analysing short and long duration bond interesting rates and is reflecting risk premium in their period.

Identifying Unusual Days

  • Kim, Min-Kyong;Kotz, David
    • Journal of Computing Science and Engineering
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    • v.5 no.1
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    • pp.71-84
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    • 2011
  • Pervasive applications such as digital memories or patient monitors collect a vast amount of data. One key challenge in these systems is how to extract interesting or unusual information. Because users cannot anticipate their future interests in the data when the data is stored, it is hard to provide appropriate indexes. As location-tracking technologies, such as global positioning system, have become ubiquitous, digital cameras or other pervasive systems record location information along with the data. In this paper, we present an automatic approach to identify unusual data using location information. Given the location information, our system identifies unusual days, that is, days with unusual mobility patterns. We evaluated our detection system using a real wireless trace, collected at wireless access points, and demonstrated its capabilities. Using our system, we were able to identify days when mobility patterns changed and differentiate days when a user followed a regular pattern from the rest. We also discovered general mobility characteristics. For example, most users had one or more repeating mobility patterns, and repeating mobility patterns did not depend on certain days of the week, except that weekends were different from weekdays.

Studies on the Population of Toxigenic Fungi Foodstuffs(5) (각종 식품중의 유독성 진균에 관한 연구 5)

  • Koh, Choon-Myung;Choi, Tae-Joo;Lew, Joon
    • Korean Journal of Microbiology
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    • v.11 no.2
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    • pp.63-68
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    • 1973
  • Thirtythree strains of the Aspergillus spp. isolated from foodstuffs were observed through some physiological characteristics for detection of identification key of Aspergillus spp. 1) Each strain of Aspergillus spp. had their specific characteristics and could be used for identification of species. 2) Excellent amylase-producing fungi were observed among the isolated strains of Aspergillus spp. 3) Amylase activities increased for one week incubation period. 4) In the tests of common characters of aflatoxin-producing fungi among the 33 strains of Aspergillus spp., for example, conidial size, presence of sclerotia, kojic acid, and pigment production, coloration of phenol, reduction of methylene blue, etc.

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Typical Daily Load Profile Generation using Load Profile of Automatic Meter Reading Customer (자동검침 고객의 부하패턴을 이용한 일일 대표 부하패턴 생성)

  • Kim, Young-Il;Shin, Jin-Ho;Yi, Bong-Jae;Yang, Il-Kwon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.9
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    • pp.1516-1521
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    • 2008
  • Recently, distribution load analysis using AMR (Automatic Meter Reading) data is researched in electric utilities. Load analysis method based on AMR system generates the typical load profile using load data of AMR customers, estimates the load profile of non-AMR customers, and analyzes the peak load and load profile of the distribution circuits and sectors per every 15 minutes/hour/day/week/month. Typical load profile is generated by the algorithm calculating the average amount of power consumption of each groups having similar load patterns. Traditional customer clustering mechanism uses only contract type code as a key. This mechanism has low accuracy because many customers having same contract code have different load patterns. In this research, We propose a customer clustring mechanism using k-means algorithm with contract type code and AMR data.