This study aims to look at the Income Over Feed Cost of dairy farmers with various scales of ownership of lactating dairy cattle in Kemiri Village, Jabung District, East Java Indonesia. The research method uses a questionnaire given by random sampling to 164 farmers as the research sample with the lactation cattle ownership category of small, medium, and large scale. The observed variable is Income Over Feed Cost. The data obtained will be calculated using the IOFC formula and then analyzed descriptively. The results showed that the average Income Over Feed Cost on the large scale of lactating cows ownership (more than 7 cows) was Rp. 12,091,790/month. The farmer\'s income is only based on the sale of milk, compost, and male calves after deducting the cost of feed. The feed used by farmers is forage and concentrate feed. This value is higher than in the medium and small scale of lactating cows ownership. It can be concluded that the more lactating dairy cows a farmer has, the more income will earn

This paper proposes the development of a technological platform for support of psycho-technical tests in higher education institutions. This subject deals with a topic extremely important for higher education institutions and their students, because the platform can be used internally to assist students in preparing them for the professional life. The application is web hosted and exclusively built using open source technologies. The platform registers the performance of students in several domains and allows students to practice and improve their skills. In this way, students may be better prepared for job interviews and, consequently, for the job market.

In the present investigation, concentration of trace elements (Cd, Ni, Zn and Cu) were studied in two aquatic plants A. donax and T. latifolia, sediment and water in Djendjen River (North Eastern Algeria). The concentrations of trace elements were lower in water than in the sediment. The distribution of trace elements in water and sediment follows: Ni>Zn>Cd>Cu and Zn>Ni>Cu>Cd, respectively. The water sample analysis from the Djendjen River shown that the total concentrations of Cu, Ni, Cd, and Zn were lower according to the references. In comparison, sediment mean metal concentrations with several environmental contamination parameters, such as : probable effect level (PEC) and background levels, indicates that the concentrations of all investigated elements are less than PEC except Ni, but high than the background levels. In studied plants, metal concentrations depending on plant organs and species. Overall, A. donax showed a lesser capacity of bioaccumulationas well as a lesser efficiency of metal removal than T. latifolia. In contaminated aquatic ecosystems, the presence of T. latifolia may increase the removal of heavy metals, thus, their introduction contributed to a possible actions of phytoremediation.

Success of the launch of a new product on the market is the progressive principle of production, or design, improved by efficiency or high quality of manufactured products. With the growing interest in biofuels - pellets or briquettes, is also growing interest in the new designed and more efficiently machines, that may produce classic (cylindrical or angular) or new shapes of pellets or briquets. Our department has for years dedicated to the development of new highly productive designs of pressing machines and new optimized shapes of biofuels. In this field of research, we have more than 40 national and international patents. The aim of paper is introduction of a new principle of the pelleting mill and description of its process of research, development, manufacturing and testing to deployment into production.

Path planning is required for an autonomous mobile robot to find an optimal trajectory to its destination. In this work, a new approach built upon the internet of things (IoT) has been proposed; computers are focused on path computation and robots on the execution. Hence, two different algorithms, Bug0 and Potential Field, are merged to create a hybrid approach using fixed cell decomposition for the environment and a map of this environment is created. Information is exchanged through the network (wireless local area network). The results outperform by far the classical implementations where robots were making every decision. Scalability is also achieved easily using the proposed topology.\nIn this paper, intelligent and robust software is written to automate every task, a simple input of the map will trigger the whole process, and the computer will compute an optimal trajectory then sends it to the robot for execution through the wireless medium. The path is preplanned and can be saved for further exploitation. The robot is also able to detect a change in the environment and report it to the computer to get a new path.

In the present study, Arundo donax L was used as a low-coast biosorbent for the uptake of basic dye crystal violet (CV) from aqueous media. Systematic batch mode studies of adsorption of crystal violet (CV) on Arundo donax were carried out as a function of process of parameters includes initial CV concentration, dose of adsorbent, pH, contact time and temperature. The equilibrium adsorption data were analyzed by Langmuir, Freundlich, Temkin and Dubinin–Radushkevich (D-R) isotherm models. The adsorption of CV followed the Langmuir model with a maximum adsorption capacity (qmax) of 19.60 mg g-1 and pseudo second-order kinetics under a specified set of conditions. The thermodynamic parameters like free energy (?G°), enthalpy (?H°) and entropy (?S°) changes for the adsorption of CV ionshave been evaluated and it has been found that the reaction was spontaneous and exothermic in nature.\nOwing to its rapid adsorption rate and uptake capacity, stem of ArundodonaxL. seems to be a promising biosorbent for removal of toxic dyes from wastewater.

In this work we propose an algorithm to extract the brain depends on the brain anatomy and 3D output. Approach for devising a novel brain extraction algorithm. We aimed at establishing a method that requires minimal to no parameter tuning and still handles images from clinical routine using thresholiding and region growing. because it seems intuitive to take all the available information into account if the task is to discriminate between brain and non-brain tissue. Our approach is one of the accurate method to sulcal penetration and a measure for gray matter thickness at every point over the whole cortical mantle. The method for extracting a 3-D geometric model of human cortical surface is presented. Computer aided diagnostic processing plays a significant role in the character of clinical subroutine. This process takes into account volume of images so that accurate timbre entropy can be found for diagnosing the disease. Grounded on magnetic resonance imaging (MRI) has been impetus to the radiologist’s arsenal of imaging tools toward reliable findings and diagnosis of disease. MRI is a tomography imaging proficiencies that create the images of internal physical and chemical feature of an object from externally calculated nuclear magnetic resonance signals.