The design of the photovoltaic (PV) systems requires knowledge of received solar radiation on the installation plan for photovoltaic solar panels and thus constitutes essential parameters of the preliminary study. For a given electrical need, more energy received implies fewer panels to install and conversely. So the modeling of the solar radiation received on a PV installation surface using Matlab allowed us to give local sunshine tables by using Hottel\'s method which based on the integration of different meteorological and astronomical parameters. We then developed and proposed a calculation algorithm capable of giving the power of solar radiation instantly, and we calculate the energy output of the photovoltaic panels, under any partial shading model.\nThe objective of this work is to propose optimization runs, in order to minimize the harmful effects of partial shading on the systems of photovoltaic solar panels by the use of different position modes. We also approach from a global perspective, allowing us to reach reliable and real results of the productivity of a PV installation under the shading effect. The study of our installation, based on estimating the annual production and the losses due to the phenomenon of shading, a simple calculation based on the system performance ratio, allows us to release the electrical productivity of the installation completed by a practical study of the shading effect by the use of” Shadow Mask Close”. This method was applied to the photovoltaic installation of the 1.5 kWc located at the Faculty of Science and Technology in Settat city and to calculate the energy output of the photovoltaic panels, before calculating the effect of shading influence on this photovoltaic installation.

Field experiments to study elements of the technology for growing Sudan grass (Sorghum, Sudanese piper, Staph) to provide farm animals with complete feeds were carried out in the dry-step zone of West Kazakhstan. The research examined different sowing times in 10-day intervals, and for the harvesting of green fodder, haylage and hay, the harvesting times were examined in different phases of development, as well as grazing mode of use of Sudan grass. The results of scientific research showed that for the conditions of the region it is important to select both optimal sowing and harvesting times. In the years of research, the yield of dry mass of Sudan grass at different sowing times was 21.05-23.06 c/ha, with the highest productivity determined at 1(one) early sowing time. When studying the time of harvesting, high yield of dry mass of Sudan grass was ensured during harvesting of plant formations in the blooming period 19.06-23.94 c/ha. Under grazing conditions in the study area, Sudan grass produced 16.99 c/ha of dry mass in a total of 4 browsing.

The feasibility of an agroecological project is supported, among other factors, by the cost-benefit relationship, which tends to shift profitability paradigms on organic fertilizers within the context of long-term finances. For this purpose, the objective of this paper is to carry out a financial study to market organic fertilizers (compost and vermicompost) in the Sumapaz region. An initial analysis of the production zones is conducted, starting with the qualification of 11 farms with livestock and agricultural production obtained through a stratified random sampling. Later on, this is translated into a financial analysis of the cost-benefit ratio in the marketing and agricultural use of organic fertilizers. In order to develop the project, four stages are designed: a description of the operating cost performance of the fertilizer production process; project’s initial investment; projected financial statements; and cost-benefit ratio analysis of organic fertilizer\'s marketing and agricultural use. Finally, the results of this study will show the profitability. Through a Net Present Value of COP $442.067.710 (USD $110,000), will be obtained an Internal Rate of Return of 136% and a cost-benefit ratio of 11.58, which represent economic and environmental benefit compared to agrochemical inputs, through a workable system for small holders.

Determining the distribution of the load economically between the generating units, consideration of losses on the transmission line as a generation function is required. The method for minimizing the generation cost of the thermal generating unit will fail, if not with the covering the power loss on transmission line, while the fuel cost is the largest component in the thermal generating unit. Based on that, the cost of producing the electrical power from a thermal generator should be sought as economically as possible. The existence of an incremental fuel cost of one generating unit may be lower than that of another, but the plant is located away from the load center which affects the power loss of transmission line has the large value. Optimization of fuel costs and power loss of transmission line are used the coordination equation for completion. In the coordination equation, economic costs are generated and achieved, when the total incremental cost of fuel that multiplied by the penalty factor is same for all generators. To calculate the achievement of economic dispatching value in electric power system with type of thermal generation with calculation of power loss of transmission line and value of limitation of generation of generating unit as generating function, hence can be reached by some way of calculation.

In this work, the significance and classification of solid electrolytes for lithium ion\nbatteries has been reviewed. Their structural impact on ionic conductivity is one way to\nreason out the doubtful ion conduction mechanism in solid electrolyte materials. Based on\neither structure or composition we get different classes of solid electrolytes; and among these\nperovskite - and garnet -structured oxide type solid electrolytes are highly promising ionic conductors. The solid state synthesis of garnet-structured Li7La3Zr2O12 at different\ntemperatures shows clearly the shift between its two phases i.e., from tetragonal to cubic as the temperature increases. It has been managed to synthesize cubic structured Li7La3Zr2O12 sample by a three-step route with the last calcination temperature of 1125oC using Al2O3 crucibles. Structural and physical characterizations have been carried out using thermogravimetery and differential thermogravimetery (TG/DTG), powder X-ray diffraction\n(XRD), Fourier transform infrared spectroscopy (FT-IR), and scanning electron microscopy\n(SEM) with energy dispersive X-ray spectroscopy (EDS).

In many developing countries, even though most pregnant mothers are skeptical about the risk of having a baby through cesarean delivery, many doctors are forcing them and private hospitals. Doctors often encourage pregnant mothers to have a cesarean on the basis of their physical condition and medical reports, even though they know how harmful it is to them. Emergency cesarean cannot be prepared in advance and must be done. Preparations can be made in advance for the elective cesarean. The main purpose of the study is what causes the pregnant woman to go to a caesarean and get rid of them who has possibility to normal delivery. The aim is to have a vaginal delivery by avoiding cesarean using the predicting mode of delivery. This study was a systematic review using scientific studies published in well-known databases like PubMed, ResearchGate, Science Direct, IEEE Xplore, Springer, Elsevier, Academia. All studies conducted during 2010�2020 were reviewed and finally the studies with inclusion and exclusion criteria were selected. A total of 19 studies were selected among 2512 studies. This paper followed the Kitchenham [6] to conduct a systematic Literature Review. The contents of this paper are taken from various websites and journals. First, the reasons are analyzed. Based on the data collected from different hospitals, different machine learning techniques have been discussed on how to find a delivery method so that the cesarean can be reduced. The objective of this study is to predict the mode of delivery based on 10 specific parameters identified separately from amongst more than 180 parameters present in various test reports. Such an early prediction would help women in being mentally and financially prepared and would also help in curbing cases of unethical medical practices.