LEADER 06482nam 2200361z- 450 001 9910624368803321 005 20230221123858.0 035 $a(CKB)5860000000114142 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93457 035 $a(EXLCZ)995860000000114142 100 $a20202211d2022 |y 0 101 0 $aspa 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImplementación de un sistema de gestión ambiental en función de los factores ambientales en hospitales 210 $aPuno$cInstituto Universitario de Innovación Ciencia y Tecnología Inudi Perú$d2022 215 $a1 electronic resource (185 p.) 311 $a612-50-6923-0 330 $aThis book is an adaptation of a study presented to the National University of the Altiplano, which aimed to implement an environmental management system to manage Water, Air and Soil resources, develop environmental review, and identify Environmental Management programs at Manuel Núñez Butrón Hospital in Puno (Peru). In addition to defining all the elements of the International standard: Environmental Policy, identification of environmental aspects, highlighting hospital solid waste, identification of legal requirements, establishment of environmental objectives and goals, availability of resources, functions and responsibilities, authority, competence, training and awareness, communication, documentation, document control, operational control, emergency preparedness and response, monitoring and measurement, evaluation of legal compliance, non-conformities, corrective action and preventive action, control of records, internal audit and review by the address. The methodological process establishes the necessary elements for the design of an Environmental Management System, where the methodology established in the International Standard ISO 14001 is applied, with which it is expected to improve the quality of care, quality of service, health and environmental performance, by controlling the aspects and tasks that cause or could cause negative impacts to the Hospital environment. Identification and assessment of significant environmental aspects and impacts, the information was taken through average weight measurements, generation of Solid Waste. Finally, the Manual of the Environmental Management System for the Hospital was prepared to conduct its activities in a positive way towards the environment, patients and people in general. It also provides the necessary information for its implementation. The results indicate that the sterilization of solid waste reaches the conclusion; the analysis of variance (ANOVA), after sterilization, shows a calculated "F" value of 585.89, this being higher than the critical value of 1.85, showing that the means or averages are different and significant for the value of 0.000, the Pearson's R Correlation Test shows a value of 0.996 which indicates a direct and almost perfect relationship and the "t" test shows significant differences between the means whose reduction is 0.86083, on average by day, it is concluded that sterilization significantly improves the management of environmental factors in the operating room area of ??said hospital. 330 $aEl presente libro es una adaptación de un estudio presentado a la Universidad Nacional del Altiplano, que tuvo como objetivo implementar un sistema de gestión ambiental, para manejar los recursos Agua, Aire y Suelo, desarrollar la revisión ambiental, e identificar los programas de Gestión Ambiental, en el Hospital Manuel Núñez Butrón de Puno (Perú). Además de definir todos los elementos de la norma Internacional: Política Ambiental, identificación de aspectos ambientales, resaltando los residuos sólidos hospitalarios, identificación de requisitos legales, establecimiento de objetivos y metas ambientales, disponibilidad de recursos, funciones y responsabilidades, autoridad, competencia, formación y toma de conciencia, comunicación, documentación, control de documentos, control operacional, preparación y respuesta ante emergencias, seguimiento y medición, evaluación del cumplimiento legal, no conformidades, acción correctiva y acción preventiva, control de registros, auditoría interna y revisión por la dirección. El proceso metodológico establece los elementos necesarios para el diseño de un Sistema de Gestión Ambiental, donde se aplica la metodología establecida en la Norma Internacional ISO 14001, con las que se espera mejorar la calidad de atención, calidad de servicio, salud y la actuación ambiental, mediante el control de los aspectos y labores, que causan o podrían causar impactos negativos al entorno del Hospital. Identificación y valoración de los aspectos e impactos ambientales significativos, se tomó la información mediante mediciones promedios de peso, de generación de Residuos Sólidos. Finalmente se elaboró el Manual del Sistema de Gestión Ambiental para el Hospital para conducir sus actividades de manera positiva hacia el ambiente, pacientes y personas en general. Así mismo proporciona la información necesaria para su implementación. Los resultados indican que la esterilización de los residuos sólidos, llega a establecer la conclusión; el análisis de varianza (ANOVA), luego de la esterilización, muestra un valor de la ?F? calculada de 585,89, siendo esta superior al valor crítico de 1,85, demostrando que las medias o promedios son diferentes y significativas por el valor de 0,000, la Prueba de correlación de R de Pearson, muestra un valor de 0,996 la que indica una relación directa y casi perfecta y la prueba ?t? muestra diferencias significativas entre las medias cuya reducción es de 0,86083, en promedio por día, se concluye que la esterilización mejora significativamente el manejo de los factores ambientales en el área Quirófano de dicho hospital. 606 $aEnvironmental policy & protocols$2bicssc 610 $aesterilización 610 $agestión ambiental 610 $afactores ambientales 615 7$aEnvironmental policy & protocols 700 $aGallegos-Pasco$b Pedro$4auth$01290210 702 $aPineda-Chaiña$b Haydee$4auth 906 $aBOOK 912 $a9910624368803321 996 $aImplementación de un sistema de gestión ambiental en función de los factores ambientales en hospitales$93021431 997 $aUNINA LEADER 06994nam 2201897z- 450 001 9910557397503321 005 20220111 035 $a(CKB)5400000000041922 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76295 035 $a(oapen)doab76295 035 $a(EXLCZ)995400000000041922 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComplexity in Economic and Social Systems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (534 p.) 311 08$a3-0365-0794-9 311 08$a3-0365-0795-7 330 $aThere is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure. 606 $aInformation technology industries$2bicssc 610 $aagent-based computational economics 610 $aagent-based modelling 610 $aBaidu Index 610 $abargaining 610 $aBDS 610 $acentral-banking 610 $achaos 610 $acluster-entropy 610 $acomplex adaptive systems 610 $acomplex network 610 $acomplex networks 610 $acomplex systems 610 $acomplexity economics 610 $acomplexity in stock market 610 $acomplexity of IPOs 610 $acomplexity science 610 $aconjunctural movements 610 $acopula functions 610 $acorrelation coefficient 610 $acorrelation dimension 610 $acorrespondence analysis 610 $across-shareholding network 610 $acryptocurrencies 610 $acybernetics 610 $adetrended cross-correlations 610 $adevelopment 610 $adiscrete-time models 610 $adual graph 610 $adynamic game model 610 $adynamical complexity 610 $adynamics 610 $aeconomic complexity 610 $aeconophysics 610 $aedge of chaos 610 $aEMD 610 $aentropic susceptibilities 610 $aentropies 610 $aentropy economics 610 $aentropy weight TOPSIS 610 $aEthiopia 610 $aEuler characteristic 610 $aevolutionarily stable strategies 610 $aevolutionary dynamics 610 $aevolutionary information search dynamics 610 $aextreme returns 610 $afake news 610 $afeedback loops 610 $afinance 610 $afinancial institution 610 $afinancial markets 610 $aforecasting market risk 610 $afour-colour theorem 610 $again function 610 $aGARCH model 610 $agender productivity gap 610 $ageneral system theory 610 $ageneralized autoregressive conditional heteroscedasticity model (GARCH) 610 $ageneralized Pareto distribution 610 $ahomo oeconomicus 610 $ainequality 610 $ainformation demand 610 $ainformation theory 610 $ainformation transfer 610 $ainnovative activity 610 $aIPO timing 610 $airreversible processes 610 $ajump volatility 610 $aKondratieff waves 610 $aland acquisition 610 $aleveraged trading 610 $aliquidity benchmark 610 $aliquidity proxy 610 $alocation quotient 610 $aLyapunov 610 $amacroeconomics 610 $amacroprudential policy 610 $amanufacturing industry 610 $ameasure of economic development 610 $aminimal spanning tree 610 $amixture of distribution hypothesis 610 $amotivation 610 $amultifractal analysis 610 $amultivariate transfer entropy 610 $amunicipality 610 $amutual information 610 $an/a 610 $aNash equilibrium 610 $anetwork theory 610 $anon-ergodic ill-behaved inverse problems 610 $anon-extensive cross-entropy econometrics 610 $anon-linear dynamics 610 $anonlinear dynamics 610 $apartial determination 610 $apeaks over threshold 610 $aplatforms for participation 610 $aPolish Green Island effect 610 $apower law 610 $apricing constraint 610 $aprosumption 610 $apublic administration sector 610 $areal estate 610 $areal option 610 $arecurrence plots 610 $aRed Queen effect 610 $arumor spreading 610 $aself-exciting point process 610 $aShannon-entropy 610 $aspeculation 610 $astock exchange market 610 $astock market 610 $astock markets 610 $astock price crash risk 610 $astructural entropy 610 $asystemic risk 610 $athreshold effect 610 $atime series 610 $atime series analysis 610 $atransfer entropy 610 $aTsallis entropy 610 $auniversal complexity measure 610 $avalue at risk 610 $avolatility clustering 610 $avolatility estimate 610 $awealth condensation 610 $awebsites 610 $aZipf law 615 7$aInformation technology industries 700 $aDroz?dz?$b Stanis?aw$4edt$01303451 702 $aKwapien?$b Jaros?aw$4edt 702 $aOs?wie?cimka$b Pawe?$4edt 702 $aDroz?dz?$b Stanis?aw$4oth 702 $aKwapien?$b Jaros?aw$4oth 702 $aOs?wie?cimka$b Pawe?$4oth 906 $aBOOK 912 $a9910557397503321 996 $aComplexity in Economic and Social Systems$93027062 997 $aUNINA