The Influence of Heat Stress and Powder of Jaloh Leaves Supplementation Into Commercial Fish Feed on Body Weight Gain, Hematokrit Level and Malondialdehid Content in the Nila's Liver

The aims of this experiment are to find out the effect of temperature stress and jaloh leaves supplementation on body weight gain, hematocrit level, and malondialdehid (MDA) content in the liver tissues of nila fish (Oreochromis niloticus). A total of 80 fishes with the weight of 40-50 gr were randomly allocated into 8 treatments. The treatments consisted of P1 (no heat stress and no jaloh leaves supplementation); P2 (no heat stress and 5% of jaloh leaves supplementation) ; P3 (no heat stress and 10% of leaves supplementation); P4 (no heat stress and 15 % of leaves supplementation); P5 (heat stress and no jaloh leaves supplementation); P6 (heat stress and 5% of jaloh leaves supplementation); P7 (heat stress and 10% of jaloh leaves supplementation); P8 (heat stress about 35 ± 1oC for 4 h per day in 30 days and 15% of jaloh leaves supplementation). The body weight was measured from 1d to 31d. Blood samples, lever tissues and statistical analysis were conducted on 31d. The results of the experiments indicated that supplementation of fish feed with jaloh leaves 5-15% had negative effects on body weight gain. On the other hand, supplementation of jaloh leaves 5-10% on commercial fish feed had positive effects on performances and immune system of experiment fishe

Administration of Various Feed Additives on Cholesterol Content of Meat and Fat Abdomen of Local Chicken (Gallus Domesticus)

Cholesterol consumed more than required body will influence health problem such as arteriosklerosis and finally resulted in coronary hearth. The purpose of this study is to evaluate the concentration of cholesterol and fat abdomen local chicken administrated various levels of feed additives. Totally 200 chickens from growth study were selected for 20 chickens at the age of 90 d for further cholesterol and fat abdomen analysis. This study was designed by using completely randomized consisting of 4 treatments and 5 replications. Four treatments in this study was administration of feed additives either in the water or in the feed (A0 = control-vita chick 0.7 gram/liter; A1= 20 ml/liter probio-FM; A2= 0.08% MOS (manan-oligosakarida)/kg in feed and A3= herbal leuser KI 5 ml/liter). Variables observed in this study were the content of cholesterol and fat abdomen. All data were statistically analyzed using SPSS and differences between treatments were stated (P<0.05) by using Duncan Multiple Range Test (DMRT). The results of the study indicated that administration of various feed additives significantly effected (P<0.05) on the cholesterol content of breast meat of local chickens. The average of breast meat cholesterol content was 52 mg/100g, 44 mg/100g, 43 mg/100g and 46 mg/100g for A0, A1, A2 and A3 respectively. Administration of administration of various feed additives significantly reduced (P<0.05) the percentage of fat abdomen of local chickens with the percentage of 0.78%, 0.36%, 0.27% and 0.42% for A0, A1, A2 and A3 respectively. This study concluded that administration various feed additives significantly reduced cholesterol content and the percentage of fat abdomen with the lowest of cholesterol content 43 mg/100g and the lowest percentage of fat abdomen 0.27% for prebiotic treatment

Toward a Reliable Prediction of Streamflow Uncertainty: Characterizing and Optimization of Uncertainty Using MCMC Bayesian Framework

2014 S.C. Water Resources Conference - Informing Strategic Water Planning to Address Natural Resource, Community and Economic Challenge

Peranan Badan USAha Milik Desa ( Bumdes ) dalam Peningkatan Ekonomi Masyarakat ( Studi pada Bumdes Desa Pekan Tebih Kecamatan Kepenuhan Hulu Kabupaten Rokan Hulu )

This research aim to to know the Body Role of is Effort Countryside Property ( BUMDes) in Make-Up of Society Economics, specially society of consumer of fund BUMDes in Countryside of Week of Tebih of District of Fullness of Pate;Upstream of Sub-Province of Rokan Pate;Upstream. Research Population is some of consumer of fund of BUMDes of Countryside of Week of Tebih year 2013 counted 277 people and determination sampel use the method Proposional so that its sampel research amount to 42 people. In analysing research data use the descriptive method qualitative, only elaborating result from question interview the field momen

New bounds on the signed total domination number of graphs

In this paper, we study the signed total domination number in graphs and present new sharp lower and upper bounds for this parameter. For example by making use of the classic theorem of Turan, we present a sharp lower bound on this parameter for graphs with no complete graph of order r+1 as a subgraph. Also, we prove that n-2(s-s') is an upper bound on the signed total domination number of any tree of order n with s support vertices and s' support vertives of degree two. Moreover, we characterize all trees attainig this bound.Comment: This paper contains 11 pages and one figur

Variational Bayesian dropout with a Gaussian prior for recurrent neural networks application in rainfall–runoff modeling

Recurrent neural networks (RNNs) are a class of artificial neural networks capable of learning complicated nonlinear relationships and functions from a set of data. Catchment scale daily rainfall–runoff relationship is a nonlinear and sequential process that can potentially benefit from these intelligent algorithms. However, RNNs are perceived as being difficult to parameterize, thus translating into significant epistemic (lack of knowledge about a physical system) and aleatory (inherent randomness in a physical system) uncertainties in modeling. The current study investigates a variational Bayesian dropout (or Monte Carlo dropout (MC-dropout)) as a diagnostic approach to the RNNs evaluation that is able to learn a mapping function and account for data and model uncertainty. MC-dropout uncertainty technique is coupled with three different RNN networks, i.e. vanilla RNN, long short-term memory (LSTM), and gated recurrent unit (GRU) to approximate Bayesian inference in a deep Gaussian noise process and quantify both epistemic and aleatory uncertainties in daily rainfall–runoff simulation across a mixed urban and rural coastal catchment in North Carolina, USA. The variational Bayesian outcomes were then compared with the observed data as well as with a well-known Sacramento soil moisture accounting (SAC-SMA) model simulation results. Analysis suggested a considerable improvement in predictive log-likelihood using the MC-dropout technique with an inherent input data Gaussian noise term applied to the RNN layers to implicitly mitigate overfitting and simulate daily streamflow records. Our experiments on the three different RNN models across a broad range of simulation strategies demonstrated the superiority of LSTM and GRU approaches relative to the SAC-SMA conceptual hydrologic model