Miracle-dz/UniFAR-FTUs huggingface dataset:
Digestible Threonine Levels in the Starter Diet of Broilers Derived from Breeders of Different Ages

The aim of this study was to evaluate the effect of digestible threonine supplementation in the starter diet on the performance, intestinal parameters, and nutrient metabolism of broilers derived from breeders of different ages. In total, 480 one-day-old Cobb chicks, derived from 38-or 49-week-oldbreeders, were housed in experimental battery cages until 21 days of age and fed four different threonine levels (800, 900, 1,000, or 1,100 mg/kg) in the starter feed. A completely randomized experimental design in a 2x4 factorial arrangement (breeder age x threonine levels) was applied, totaling eight treatments with five replicates of 12 birds each. Broilers from older breeders fed 800 mg digestible threonine/kg of diet presented higher weight gain, with a positive linear effect. There was also an interaction between breeder age and threonine levels for the weight gain of 21-d-old broilers supplemented at maximum level of 1,003 mg Thr/kg diet during the starter phase. There was no effect of breeder age or threonine levels on nutrient metabolism during the period of 17-21 days. There was no influence of breeder age or threonine levels in the starter diet on intestinal morphometric measurements, absorption area, or percentage of goblet cells.
Adjustable robust optimization for pricing and ordering with dynamic programming

In this paper we consider a retailer that makes multistage decisions about replenishment order quantity and selling price in a finite planning horizon with fixed ordering cost. Demand for the product is uncertain, and price and time dependent. This kind of problems have been studied by several researchers using stochastic dynamic programming that requires the full knowledge about the distribution of uncertain demand parameters. In this paper we model the problem in robust optimization. We consider the uncertainty sets for the parameters and protect the solution against the worst case. Then we derive the dynamic programming equation for the adjustable robust optimization model and show that (s;S;p) is an optimal robust policy.
A self-tunable Dynamic Vibration Absorber for tremor suppression

We present a novel approach to Parkinson's Disease's (PD) tremor suppression based on a self-tunable Dynamic Vibration Absorber (DVA). The self-tuned DVA was designed, mathematically modeled, simulated and experimentally validated. For the experimental validation a wood beam, coupled to a vibration exciter, was used as an oscillating body. The control law for self-tuning was implemented and its effectiveness was investigated through experiments. Two types of input data were used to test the system performance. The first one was sinusoidal oscillations, where the input frequency could be varied; and the second a PD's waveform collected by sensors in patients and reproduced by the vibration exciter. The final self-tunable DVA system was able to suppress oscillations in the order of 98% and, maximum, 60%, respectively. This self-tunable DVA presents some biomedical advances and novelties. It has the ability to change its resonant frequency and better adapt itself to the patients inconstant tremor. Also, in a self-tunable DVA based on its mass, the components are lighter and smaller allowing clinical appliance in PD patients.
An analysis of genetic influence on salivary parameters and caries experience-by correlation of incidence of dental caries and salivary parameters

Dental Caries is a multifactorial disease where in the interplay of protective and destructive factors causes caries. The twin population is an excellent sample to study the genetic influence on the host factors responsible for caries . The caries experience in twin children is considered to be similar because of similar genetic and environmental predisposition . This study was conducted to analyze the influence of genetic control on caries experience in ten pair of twin children by analyzing the salivary parameters like flow rate , pH, viscosity and buffering capacity and by correlating it to their DMFT,def scores. The results showed no significant statistical difference in the caries experience and the salivary parameters among the twin children that were evaluated . Hence the similar caries experience in twin children can be attributed to their similar genetic and environmental factors.
The Impact of Music on Childhood and Adolescent Achievement

Objective. The study examines the association between music involvement and academic achievement in both childhood and adolescence using three measures of music participation: in school, outside of school, and parental involvement in the form of concert attendance. Methods. We review prior work pertaining to music's impact on achievement and then draw from two nationally representative data sources (ECLS‐K and NELS:88). Our analyses apply logistic and OLS regression techniques to assess patterns of music involvement and possible effects on math and reading performance for both elementary and high school students. Results. Music involvement varies quite systematically by class, and gender status, and such involvement holds implications for both math and reading achievement, and for young children and adolescents. Notably, associations with achievement persist in our modeling even when prior achievement levels are accounted for. Although music does mediate some student background effects, this mediation is only minimal. Conclusions. Music participation, both inside and outside of school, is associated with measures of academic achievement among children and adolescents. Future work should further delineate the relevant processes of music involvement, as well as how background inequalities and music involvement intersect in relation to educational performance.
Fractal characteristic of virtual fibrous porous media

Fractal theory is a very effective method for investigating pore-structure of fibrous porous materials, which build a bridge between micro-morphology and macro-performance. Fractal dimension was calculated based on the fractal theory and combined with computer virtual building model technology, which was explored to describe the pore structure of virtual fibrous porous materials. The geometric model construction program was completed to generate virtual filter media which has straight fiber and bending fiber. These fibers are randomly distributed in two directions or three directions. A variety of virtual fibrous media were used to calculate packing density or porosity and fractal dimension. The fractal dimension of 2D or 3D pore structure was calculated by the soft and the effects of packing density or porosity on fractal dimension were also discussed. Fractal dimension of the two-dimensional cross-sectional view, plan view or section view has the same form of expression, their coefficients was different with the variation in position observations. The results show that the fractal dimension decreases continuously with the increase of fiber diameter, but it increases gradually with the packing density increasing. Furthermore, the relationships between the fractal dimension and the fiber diameter and packing density were obtained.
Wireshark® for Security Professionals: Using Wireshark and the Metasploit® Framework

Master Wireshark to solve real-world security problems If you don’t already use Wireshark for a wide range of information security tasks, you will after this book. Mature and powerful, Wireshark is commonly used to find root cause of challenging network issues. This book extends that power to information security professionals, complete with a downloadable, virtual lab environment. Wireshark for Security Professionals covers both offensive and defensive concepts that can be applied to essentially any InfoSec role. Whether into network security, malware analysis, intrusion detection, or penetration testing, this book demonstrates Wireshark through relevant and useful examples. Master Wireshark through both lab scenarios and exercises. Early in the book, a virtual lab environment is provided for the purpose of getting hands-on experience with Wireshark. Wireshark is combined with two popular platforms: Kali, the security-focused Linux distribution, and the Metasploit Framework, the open-source framework for security testing. Lab-based virtual systems generate network traffic for analysis, investigation and demonstration. In addition to following along with the labs you will be challenged with end-of-chapter exercises to expand on covered material. Lastly, this book explores Wireshark with Lua, the light-weight programming language. Lua allows you to extend and customize Wireshark’s features for your needs as a security professional. Lua source code is available both in the book and online. Lua code and lab source code are available online through GitHub, which the book also introduces. The book’s final two chapters greatly draw on Lua and TShark, the command-line interface of Wireshark. By the end of the book you will gain the following: Master the basics of Wireshark Explore the virtual w4sp-lab environment that mimics a real-world network Gain experience using the Debian-based Kali OS among other systems Understand the technical details behind network attacks Execute exploitation and grasp offensive and defensive activities, exploring them through Wireshark Employ Lua to extend Wireshark features and create useful scripts To sum up, the book content, labs and online material, coupled with many referenced sources of PCAP traces, together present a dynamic and robust manual for information security professionals seeking to leverage Wireshark.
Americas Conference on Information Systems ( AMCIS ) December 2002 ASSESSING THE RISK OF IT INVESTMENT PROJECTS WITH NETWORK EXTERNALITIES

Real Option valuation has been identified as an appropriate way to assess IT Investment projects that face high levels of future uncertainties. The challenge with the Real Option approach is that project risk, expressed as the variance in the Black-Scholes Formula, is difficult to estimate. This paper tries to identify the parameters that influence the risk of an IT investment project, considering both the external autonomy of the player in implementing a new technology and the internal properties in technology adoption. The risk parameters are operationalized step-by-step and integrated into a decision model to help each individual firm put the IT investment decision into real numbers. In order to better visualize the parameters of this decision framework, four company profiles, based on the theory of technology diffusion, will be introduced and mapped against the risk parameters of the Black-Scholes formula.
Fermions on replica geometries and the $\Theta$ - $\theta$ relation

In arXiv:1706:09426 we conjectured and provided evidence for an identity between Siegel $\Theta$-constants for special Riemann surfaces of genus $n$ and products of Jacobi $\theta$-functions. This arises by comparing two different ways of computing the \nth \Renyi entropy of free fermions at finite temperature. Here we show that for $n=2$ the identity is a consequence of an old result due to Fay for doubly branched Riemann surfaces. For $n>2$ we provide a detailed matching of certain zeros on both sides of the identity. This amounts to an elementary proof of the identity for $n=2$, while for $n\ge 3$ it gives new evidence for it. We explain why the existence of additional zeros renders the general proof difficult.
Simulating nitrogen pollution potential in surface and subsurface runoff in Ontario using EPIC model

This study focuses on the possible potential of nitrogen contamination of water resources due to land applicationof manure and fertilizer in agricultural regionsof Ontario. The EPIC (Erosion/Productivity Impact Calculator) model wasused to partition nitrogen loads in percolating and runoff waters under corn production system by dividing the province into fourregions. Water balance and nitrogen loads were estimated for different types of soils, land slope gradient, soil organic matter,rate of nitrogen application, typesof tillage, and the presence and absence of subsurface drainage systems. Results indicatedthat reasonable annual nitrogen leaching predictions could be obtained through accurate soil hydraulic characterizationand monthly runoff curve number adjustment. The regression equationsreflected the general trendsof rate of application andorganic matter and were found to be the most important factor in quantifying the nitrate loadsin the infiltrating water for all soiltypes. Increasing slope gradient translated into an increasing. portion of nitrate moving with subsurface lateral flow based on the model results. The statistical analyses also showed that theequations can satisfactorily predict nitrate loads. The strength of the equationsover the MCLONE4 module iss hown by thereduced annual deviation from the observed nitrogen loads. In addition, the current recommended rate seemed to represent acut-off limit, below which nitrogen loads in percolating water did not substantially decrease. Although, crop yield did not significantlyincrease with increased nitrogen application rates, the nitrogen loadsdid. It showsthat the current recommended ratesfor the different regions are probably appropriate to minimize nitrogen losses while maximizing yield. The high nitrogen lossesfrom the Western region may result not only from higher. nitrogen application rates, but also from the higher probability. of leaching events caused by the longer cropping period. Overall,the approach and the results of the study could be helpful ineffective source water protection planning.
Determining the Equality of Customer Loyalty between Two Commercial Banks in Anambra State-Nigeria

This study examined the equality of customer loyalty between two Banks in Anambra State- Nigeria. The objective of this study is to determine if there exists significant difference between loyalty of customers in two commercial banks in Anambra State. The data used for this study is primary data collected through the aid of administered questionnaire. The statistical tool used in analyzing the data was the permutation method for Hotelling T-Squared. The result of the analysis showed that there is no significant difference between customer loyalty of the two commercial banks. This result could be attributed to the improved supervision of the apex bank in Nigeria (Central Bank of Nigeria) on the activities and operation of the banking sector. Since, customer loyalty can help firms develop strategies to grow the right customers and in turn customers can be viewed in terms of their lifetime value. We recommend studies on determining the retention and lifetime value of commercial banking customers in Nigeria as a fruitful area for future research, for it appears that the banking industry is one of the most profitable within the Nigerian economy, hence, higher performance could be attained in terms of customer retention and loyalty there by creating wealth to her shareholders and rendition of social obligations to the larger society. Also, managers in the banking industry should note that failure to recognize the power of customer satisfaction, especially customer emotions, could destroy the power of customer retention and loyalty
Rediscovery of the putatively extinct ant species Simopelta minima (Brandão) (Hymenoptera, Formicidae), with a discussion on rarity and conservation status of ant species

Rediscovery of the putatively extinct ant species Simopelta minima (Brandao) (Hymenoptera, Formicidae), with a discussion on rarity and conservation status of ant species. Simopelta minima (Brandao, 1989) was originally described based on four workers collected in soil samples from a small cocoa plantation in Ilheus, state of Bahia, northeastern Brazil. In the subsequent years after the description, this cocoa plantation was eliminated and the species was then considered extinct by the Brazilian environmental institutions. The recent rediscovery of S. minima workers in subterranean pitfall trap samples from Vicosa, state of Minas Gerais, southeastern Brazil, over 1.000 km distant from type locality, suggests that the rarity and vulnerability status of some ant species may be explained by insufficient sampling of adequate microhabitats, in time and space.
Influence of Drying and Post-drying Conditions on the Head Rice Yield of Aromatic Rice

The effects of various drying temperatures, low final moisture, and post-drying duration, on fissure formation and head rice yield (HRY) reduction in aromatic short-grain rice, were investigated. The results of post-drying duration showed that most fissured kernels were produced within 12-h after drying process ceased and then became to stable within 24 h for all treatments. The whole kernel percentage of Kaori aromatic rice was reduced significantly (P < 0.01) when rice was dried at 50oC and 60oC for both standard and low final moisture content (FMC). For a given post-drying duration and conditions, low FMC treatments exhibited more HRY reduction than did standard FMC. It is well known that moisture gradient has much influence in producing fissure in kernels. In addition, increased difference between immediate storage temperature and drying air temperature augmented the increase in the percentage of fissured kernels (P < 0.01).
GENERALIZED ADDITIVE MODELS FOR DATA WITH CONCURVITY: STATISTICAL ISSUES AND A NOVEL MODEL FITTING APPROACH

The Generalized Additive model (GAM) has been used as a standard tool for epidemiologic analysis exploring the effect of air pollution on population health during the last decade as it allows nonparametric relationships between the independent predictors and response. One major concern to the use of the GAM is the presence of concurvity in the data. The standard statistical software, such as S-plus, can seriously overestimate the GAM model parameters and underestimate their variances in the presence of concurvity. We explore an alternate class of models, generalized linear models with natural cubic splines (GLM+NS), that may not be affected as much by concurvity. We make systematic comparisons between GLM+NS and GAMs with smoothing splines (GAM+S) in the presence of varying degrees of concurvity using simulated data. Our results suggest that GLM+NS perform better than GAM+S when medium-to-high concurvity exists in the data. Since GLM+NS result in loss in flexibility, we also investigate an alternative approach to fit a GAM. This approach, which is based on partial residuals, gives regression coefficients and variance estimates with less bias in the presence of concurvity, compared to the estimates obtained by the standard approach. It can accommodate asymmetric smoothers and is more robust with respect to the choice of smoothing parameters. Illustrative examples are provided. The public health significance of this study is that the proposed approach improves the estimate of adverse health effect of air pollution, which is important for public and governmental agencies to revise health-based regulatory standards for ambient air pollution.
Eficacia de un programa manualizado de intervención en grupo para la potenciación de las fortalezas y recursos psicológicos

The research aims to evaluate a manualized intervention group program for the empowerment of the psychological resources (PR) and personal strengths for adults, during a period of ten weeks. Different outcome variables was measured as outcome (mood states; PR; perceived stress; dispositional optimism; satisfaction with life; general mental health [depression, anxiety and insomnia, social dysfunction, somatic symptoms]; subjective health complaints). Quasi-experimental design was employed. For the sample A (n=22, Spanish healthy adults) the design was pre-intervention-post and a 3 months follow up, and sample B (n=14, Spanish multiple sclerosis patients) received the same design as sample A; sample C (n=24, Salvadorians healthy adults) design was pre-intervention-post with non-equivalent control group. The results showed a positive effect on mood before and after each session of the program for the three sam-ples (p<.05). In addition, an intervention effect has been identified on the variables optimism, sense of humor, vitality, love and satisfaction with life for Sample A. For Sample B an effect was shown in the variables self-control, social intelligence, stress and subjective health complaints. And for Sample C a greater effect has been shown for the experimental group in relation to the control group for the variables optimism, problems solving, and the global score of PR, and a decrease in stress, depression, and psychosomatic symptoms was shown as well. These results endorse the efficacy of the intervention program employed.
Developing Central And Eastern Europe As A Hub For Global Entrepreneurship: Budapest and Prague As Cases In Point

It can be stated that Central and Eastern Europe is fast becoming a hub for entrepreneurship and innovation. There appears to be a robust ecosystem where universities/business schools, venture capitalists and non-profit organizations are working together to promote entrepreneurship at several levels. This paper seeks to explore the entrepreneurial ecosystems prevalent in 2 prominent central and eastern European capital cities – Budapest and Prague, often referred to as the “Entrepreneurial corridor” of the CEE due to the straight line they represent geographically, cutting across the CEE region and being the main centers of entrepreneurial activity in this region. In the past few years several startup success stories have emerged across these cities. These include AVG and Avast from the Czech Republic and Prezi, LogMeIn, and Ustream from Hungary. To study the entrepreneurial ecosystems, we employ the case study methodology and interview key stakeholders at prominent business schools and venture capital firms in the region in addition to the founders of new businesses. We seek to understand the challenges faced by new businesses in these regions and how the regional ecosystems could best assist in the start-up and development of new ventures. We conclude by presenting key recommendations on how best to strengthen the region as a global entrepreneurial hub, to bring valuable ideas to the market with support from university management, policy makers as well as the region’s burgeoning entrepreneurial ecosystem of angel investors, venture capitalists and business incubators.
BIOLOGICAL PEST CONTROL BY USING A COMPETITIVE SPECIES AND WITH PROVISION OF ADDITIONAL FOOD

Biological pest control is the eco-friendly method of controlling pests using natural enemies such as predators, pathogens, and parasitoids. It is one of the important components of IPM. Recent works on biological control focusing on the aspects of controlling economically damaging pest by introducing non-economically damaging pests as competitors. One of the ways to enhance the biological control is to provide suitable additional/alternative food to competitors. In this article, we study the dynamics of controlling the economically damaging pest species by providing additional food to non-economically damaging competitive pests. Mathematically these competitive interactions are modelled using Lokta-Volterra model of competition and with Holling type II functional response towards the additional food. The conditions on the quality and quantity of additional food under which successful biological control can be achieved have been obtained. The global dynamics of the systems have studied by analyzing various bifurcations that are occurring in the system. The study can aid the eco-managers, on the choice of competitive species and the additional food for accomplishing successful biological control. The results of the theoretical observations are in agreement with few field experiments. AMS Subject Classification: 92D25, 93A30, 93B05, 93B52, 49J30