In this research, the effect of adding mastic gum (Pitacia altantica) to ration was studied on performance, characteristics of carcass, and microbial population of blind intestine in broiler chickens. In this experiment, 200 one-day old broiler chicken were feed by 5 mastic gum levels (0%, 0.25%, 0.5%, 0.75%, and 1%) in life time range of 1-42 days. In 1-10 days age, using various levels of mastic gum (Pitacia altantica) doesn’t have a significant effect on mean feed consumption, weight increase, and food conversion ratio (FCR) (P>0.05), and birds with 1% food conversion ratio in their ration had feed consumption, less weight increase, and smaller FCR. In 11-24 days age, 25-42 days age, and all feeding period (1-42 days), using mastic gum (Pitacia altantica) in various levels significantly increases feed consumption and body weights than a control group (P<0.05). Microbial population such as E. coli and coliforms significantly reduced using mastic gum (Pitacia altantica) (P<0.05). Adding mastic gum (Pitacia altantica) in ration increased the population of Lactobacillus bacteria, and they were significantly more than the ones in the control group. According to the results of this research, adding 0.5% mastic gum (Pitacia altantica) to broiler chicken ration can improve performances of these chickens.
The effect of anticorrosive layer on the fatigue life of the 2024-T-351-aluminium alloy has been studied in the present investigation. The fatigue tests were conducted on the aluminium alloy with and without anodizing to evaluate the fatigue life. The results indicate that the fatigue life of the anodized specimens is significantly less than untreated specimens. Further, experiments were conducted to evaluate the effect of anodizing process parameters on the fatigue life of anodized specimens. These results show that the fatigue life of the anodized aluminium alloy can be improved by controlling the anodizing process parameters such as process temperature, voltage, and time of immersion.
Assessing the digital mobile e-learning whether to affect school efficiency is an important yet complex issue. Consequently, this study goal of this research is to evaluate the innovative teaching to affect school efficiency (total efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) estimated by the data envelopment analysis (DEA) through using digital mobile e-learning of high school in Taiwan. Additionally, the Tobit regression model (TRM) is employed to discuss whether the other determinants affect using digital mobile e-learning of school efficiency. The findings can briefly be concluded as follows. The empirical results of this research indicate the following results: (1) Importing digital mobile e-learning can really enhance the efficiency of school management. (2) technical Efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) in the TRM analysis, it also indicates that school size, teacher-student ratio, school high-vocational attribute, especially the numbers of technical teachers in teaching or consulting about digital mobile e-learning knowledge and numbers of Tablet PC (the proxy for digital mobile e-learning) an important role in affecting these three efficiency of school management. Besides, the results show of total equipment expenses associated with tablet PC has a small negative influence on school management efficiency. Due to increasing costs for network equipment small effects on teaching and learning among teachers and students. The results of this research can also be the reference for educational authorities when formulating policies and regulations for promoting digital mobile e-learning.
The IoT Internet of Things being a promising technology of the future. It is expected to connect billions of devices. The increased communication number is expected to generate data mountain and the data security can be a threat. The devices in the architecture are fundamentally smaller in size and low powered. In general, classical encryption algorithms are computationally expensive and this due to their complexity and needs numerous rounds for encrypting, basically wasting the constrained energy of the gadgets. Less complex algorithm, though, may compromise the desired integrity. In this paper we apply a lightweight encryption algorithm named as Secure IoT (SIT) to a quantized speech image for Secure IoT. It is a 64-bit block cipher and requires 64-bit key to encrypt the data. This quantized speech image is constructed by first quantizing a speech signal and then splitting the quantized signal into frames. Then each of these frames is transposed for obtaining the different columns of this quantized speech image. Simulations result shows the algorithm provides substantial security in just five encryption rounds.
This paper presents a comparison of most capable families of distributions for modeling asymmetry. Kum-normal, stable-symmetric normal family and two of the full families were chosen, where the quality of the fit, flexibility and amount of asymmetry parameters were factors used for comparison. The objective of this study\nis to generate data with increasing levels of asymmetry and choose the best fit. The distributions were also compared in modeling two data sets of pollution of the drinking water in El-Sharkia governorate in Egypt. Much of this paper is concerned with distribution theory, exploring the properties of some new recent families of distributions and, where appropriate, extolling their virtues; relatively much of the paper is devoted to practical application.
The Measurement and analysis of radio waves propagation play significant part in the plan and function of Wireless Local Area Network (WLAN) application. In the article research line of light (LOS) was used in determining attenuation loss at various positions. In this work stone coaled Decra with a large thickness of 1.76mm has a high attenuation value of -77dB while aluminum with a low thickness of 0.37mm has a low attenuation value of -72dB. In the categories of ceiling pop sample with a non-uniform thickness has the highest attenuation value of -81dB while sample such as plywood with a thickness of 2.2mm has a low attenuation value of -77dB.
This paper aims to study the implications of behavioral biases in asset pricing models. The paper hypothesizes that sentiment and momentum are relevant risk factors in Pakistan equity market. The paper also examines the influence of sentiment and momentum factors on market risk, size, and value premiums. To carry out the empirical analysis, we use monthly stock returns for all non-financial firms listed at Pakistan Stock Exchange during the period 2000-2013. To examine whether investor sentiment and momentum factors affect market, size, and value premiums, the authors estimate the interacted model where they use interaction terms. The empirical analysis suggests both investor sentiment and momentum factors have significant impact on the required rate of returns. Specifically, we show that for both factors, the premium is positive and statistically significantly different from zero. Further, they observe that the inclusion of these two factors in the Fama and French three-factor model considerably increases the prediction power of the model. By estimating the interacted model, we find that both investor sentiment and momentum factors have significant impact on market risk, size, and value premiums. Although investor sentiment negatively affects all the three premiums, the effect of momentum is positive for both market risk premium and size premium, whereas, it is negative for value premium. The findings are helpful in explaining and understanding the effects of behavioral biases on stock returns. The findings of the indirect effects suggest that investor sentiment and momentum factors increase the chance of mispricing in Pakistan equity market.