This paper studies the effects of replacing natural aggregate and tap water with recycled concrete aggregate and treated wastewater on the properties of the RC beams. The main objective of this research is to provide a scientific base for using recycled concrete aggregate and treated wastewater in concrete manufacturing. Also, this research aims to gain a better understanding of the properties of the concrete made with recycled concrete aggregate and treated wastewater to increase its efficiency. To achieve these objectives, an experimental program was conducted. The program consists of 2 phases; phase 1, which studies the properties of concrete manufactured with recycled concrete aggregate and treated wastewater, and phase 2, which studies the effects of using recycled concrete aggregate and treated wastewater on the properties of RC beams. The results showed that replacing natural aggregate and freshwater with recycled concrete aggregate and treated wastewater didn't affect the mechanical properties of concrete cubes significantly. Also, the RC beams were not affected by the change as well. However, for these results to be attained, it is necessary to use high-quality recycled concrete aggregate and treated wastewater.

[1]. ECP 203-2020., 2020. Building Code Requirements for Structural Concrete. Egypt, Cairo.
[2]. Eurocode 2. 2004. Design of concrete structures- Part 1-1: General rules and rules for building. British Standards: London, United Kingdom.
[3]. Marius-Teodor Muscalu and Radu Andrei, 2011 "Use Of Recycled Aggregates In Rigid Pavement Construction'' Technical University "Gheorghe Asachi" Iasi Volume LVII (LXI), Fasc.
[4]. Regis Sebben Paranhos, Bogdan Grigore, 2016 "A sorting method to value recycled concrete'' Journal of Cleaner Production,.
[5]. Marta Sánchez de Juan , Pilar Alaejos Gutiérrez, 2009 "Study on the influence of attached mortar content on the properties of recycled concrete aggregate'' Construction and Building Materials 23.

In this research with the K-250 concrete mixture, it is intended for general pier structures related to the threat of seawater in normal conditions. This mixture will withstand the salinity of seawater and other chemicals around the pier which can slowly damage the structure and other supporting structures. In the first stage, inspection/analysis of fine aggregate sieve or sand and analysis of coarse aggregate or gravel sieves will be carried out on samples that have been provided with a weight of approximately 40 kilograms each, then check the density and absorption of the aggregate, check the level of aggregate sludge pass the No. sieve 200 and finally checking the aggregate content weight. In the second stage, planning the concrete mixture using Mix Design K-250 according to Indonesian sea jetty and ADT (3 in 1 Concentrated Cement Toner 1%), with implementation steps: Cement Water Factor Planning (FAS), Free Water Planning ( Liter / m3) Concrete, Cement Amount Planning, Minimum Cement Content Planning, Adjusted Cement Water Factor Planning, Aggregate Composition Estimation Planning, Concrete Content Weight Estimation Planning, Concrete Mix Composition Calculation, Mixture Correction Calculation for Various Moisture Content.

[1]. F. Zulkarnain and M. Z. Suleiman, "The Innovative Performance of Polymer Modified Cement Systems for Use in Infrastructure
Applications," vol. 12, no. 10, pp. 8–14, 2016.
[2]. F. Zulkarnain, R. Fadila, U. Muhammadiyah, and S. Utara, "Introduction : - Research significant : - Experimental procedure : -,"
vol. 4, no. 2, pp. 139–148, 2016

To examine the utilization of coal 'fly ash' as adsorbent, batch studies were conducted to assess the removal of arsenic (As) from wastewater. The parameters such as Effect of the Contact time, Concentration, Adsorbent's dosage, pH on Percentage removal was studied. The 'Langmuir' isotherm was well fitted to the experimental data and Adsorption kinetic studies concludes that 'pseudo second order' is best fitted for the data. The coal fly ash concentration required to accomplish the most extreme heavy metal removal was observed to be 6 g/L with the removal effectiveness of 96% of arsenic (As). The results of the study exhibited that the fly ash could be utilized as one of the successful low-cost adsorbent material for removal of Arsenic (As) from the wastewater.

[1]. Sai Krishna.Y, Adsorbents for the removal of arsenic, cadmium, and lead from contaminated waters. journal of Hazardous Materials 171 (2009) 1-15.
[2]. Marco Balsamo, Cadmium adsorption by coal combustion ashes-based sorbents-Relationship between sorbent properties and adsorption capacity. journal of hardous materials 187 (2011) 371-378.
[3]. B. Moss, Water pollution by agriculture, Philos. Trans. R. Soc. B Biol. Sci. 363 (2008) 659–666. doi:10.1098/rstb.2007.2176.
[4]. T. Kjellstrom, M. Lodh, G. Ranmuthugala, R. Shrestha, S. Kingsland, Air and Water Pollution: Burden and Strategies for Control, Dis. Control Priorities Dev. Ctries. (2006) 817–832. http://www.ncbi.nlm.nih.gov/pubmed/21250344.
[5]. U. Faroq, Bio-sorption of heavy metal ions utilizing wheat based bio-sorbents - A analysis of recent work, Bioresour. Technol. 101 (2010) 5043–5053. doi:10.1016/j.biortech.2010.02.030.

Nowadays, the energy security as well as the environmental concerns has made great attempts to find economically and environmentally friendly energy resources. Biomethanation is a natural process of anaerobic degradation of organic materials resulting in production of biogas. Biogas production via anaerobic digestion has been shown as a sustainable, renewable and carbon neutral energy source which can reduce the global fossil fuels dependency. Agricultural activities generate huge amounts of organic residues annually worldwide. These are including crop residues, straw, stalks, branches, leaves, waste from pruning, bagasse, residue from cotton ginning, oil cakes and animal manure. They are the non-product outputs of production and processing of agricultural products that may contain material that can benefit man but whose economic values are less than the cost of collection, transportation, and processing for beneficial use.........

[1]. Girmaye Kenasa and Ebsa Kena. 2019. Optimization of Biogas Production from Avocado Fruit Peel Wastes Co digestion with Animal Manure Collected from Juice Vending House in Gimbi Town, Ethiopia. Fermentation Technology, 8:1. DOI: 10.4172/2167-7972.1000153

[2]. Angelidaki, I., Karakashev, D., Batstone, D. J., Plugge, C. M., & Stams, A. J. 2011. Biomethanation and its potential. In Methods in enzymology. Vol. 494. pp. 327-351. Academic Press.

[3]. Obi, F. O., B. O. Ugwuishiwu, and J. N. Nwakaire. 2016. Agricultural waste concept, generation, utilization and management. Nigerian Journal of Technology. 35.4. 957-964.

[4]. Nilanjan Chakraborty, G.M. Sarkar & S.C. Lahiri. 2002. Biomethanation of plant materials and agricultural residues using dung samples as wild population of microbes and also with isolated methanogens. Environmentalist. Volume 22. pp 173–182.

[5]. Cai, Junmeng, et al. 2017. Review of physicochemical properties and analytical characterization of lignocellulosic biomass. Renewable and Sustainable Energy Reviews 76 : 309-322.

The planning and programming of resources to serve health sector services are projected from health care needs to offering the beneficiary population or users of such services. The purpose is to maintain a balance between economic and financial sustainabilities with a high social contribution to meet the health needs of a population, becoming necessary to establish the variables which determine the use of these. And this must be done by developing mathematical modeling that allows such projecting the needs and solves resource restriction problems. This article presents the application of Generalized Linear Models (GLM) [1]. The objective is intended to estimate the frequency of general medicine uses of the level I health care entity. According to various user variables such as a gender, education level, region to which it belongs, status, linkage, and perception of services. The SPSS (Statistical Package for the Social Sciences) statistical computing program was used to obtain the general medicine service results..

[1]. Garza García, J. d. (2013). Análisis estadístico multivariante un enfoque teórico y práctico. México D.F.. México: McGraw-Hill Interamericana.
[2]. Asociación Colombiana de Empresas de Medicina Integral (Acemi). (2015). acemi. Obtenido de https://www.acemi.org.co/images/publicaciones/documentos_de_interes/cifras_e_indicadores_de_salud/Informe_Cifras_e_Indicadores_2015_-_WEB.pdf
[3]. Musgrove, P. (1985). REFLEXIONES SOBRE LA DEMANDA POR SALUD EN AMERICA LATINA. Cuadernos De Economía, 22(66), 293-305. . Obtenido de http://economia.uc.cl/docs/066musga.pdf
[4]. Laesanklang, W., & Landa Silva, D. (2016). Decomposition Techniques With Mixed Integer Programming and Heuristics for Home Healthcare Planning. Annals of Operations Research. Obtenido de /link.springer.com/article/10.1007/s10479-016-2352-8
[5]. Aguilar Durán, S., & Sánchez Martínez, F. (Mayo Junio de 2014). Valoración Epidemiológica de la Linfadenitis Tuberculosa en un Distrito de Barcelona:Propuesta de Algoritmo Disgnóstico. Española de la Salud Pública, 88(3). Obtenido de http://www.redalyc.org/articulo.oa?id=17031402004.