799 resultados para natural resource management


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This descriptive study addresses the job satisfaction of nurse managers and clinical nurses working at the Hematology and Hemotherapy Services of a public hospital in Sao Paulo. The study objectives were to identify the factors that caused job satisfaction among nurse managers and clinical nurses, and support the results in the development of indicators to evaluate the quality of nursing human resource management. The components of the study were: autonomy, interaction, professional status, job requirements, organizational norms and remuneration. Participants were 44 nurses. Data were collected using a Job Satisfaction Index (JSI) questionnaire. In conclusion, this study permitted the identification of the clinical nurse group, which was the most satisfied, with a JSI of 10.5; the managerial group scored 10.0. Regarding the satisfaction levels in regards to the current activity, 88.9% of the nurse managers reported feeling satisfied, as did 90.9% of clinical nurses. For both groups, autonomy was the component with the highest level of professional satisfaction.

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La risorsa acqua in zone semi-aride è sottoposta a un'estrema variabilità climatica nello spazio e nel tempo. La gestione della risorsa acqua è quindi soggetta a un insieme di sfide quando i vincoli naturali vengono uniti agli effetti indotti da attività umana come per esempio l'aumento dello sfruttamento dell'acqua di sottosuolo, cambiamento dell'uso del suolo e presenza di infrastruttura mista. Si spera che il cambiamento climatico e l'attività risultanti dallo sviluppo economico, a corto termine aumentino la pressione su un sistema ormai sensibile. Se pianificato e gestito correttamente, lo stoccaggio dell'acqua, nelle sue varie forme, funge come un meccanismo di controllo della variabilità climatica e può potenziare la capacità adattiva. Lo uadi Merguellil è un corso d'acqua a carattere non perenne al centro della Tunisia, più specificamente a est della città di Kairouan. Il Merguellil drena la pioggia sulla dorsale Tunisina insieme al uadi Zeroud e Nebhana, ed è tra i principali fiumi che scorre sulla piana di Kairouan. Lo stoccaggio dell'acqua nel bacino assume diverse forme come i laghi collinari, i terrazzi, acqua di sottosuolo e una diga. Alcune delle opzioni per lo stoccaggio dell'acqua sono state costruite per preservare la risorsa acqua, mantenere la popolazione rurale e mantenere l'equità tra le zone a monte ed a valle ma solitamente non è mai stata fatta un'analisi comprensiva dei "trade-offs" coinvolti in tali sviluppi. Anche se la ricerca è sviluppata in questa zona, finora nessuna analisi ha cercato di combinare le dinamiche del sistema idrologico con scenari gestionali. L'analisi di scenari gestionali consente ai decisori di valutare delle alternative di pianificazione e può incrementare positivamente la loro abilità di creare delle politiche che si basino sulle necessità fisiche ma anche sociali di un particolare sistema. Questo lavoro è un primo passo verso un Sistema di Gestione Integrata della Risorsa Idrica (inglese: IWMR) capace di mettere in prospettiva strategie future su diverse scale. L'uso di uno strumento metodologico illustra le sfide associate nell'affrontare questo compito. In questo caso, un modello WEAP (Water Evaluation and Planning System) è stato sviluppato in collaborazione con partners Tunisini in modo da integrare le conoscenze su processi fisici e valutare diverse tendenze come l'aumento dell'irrigazione o il cambio di alcuni aspetti climatici. Lo strumento ora è disponibile ai ricercatori locali dove potrà essere sviluppato ulteriormente a fine di indirizzare domande più specifiche. Questo lavoro focalizza lo stoccaggio dell'acqua per poter evidenziare le interazioni dinamiche tra le diverse opzioni di stoccaggio nella zona di studio e valutare i "trade-offs" tra di esse. I risultati iniziali dimostrati in questo lavoro sono: - Se lo sfruttamento degli acquiferi fosse ristretto ai livelli delle loro ricarica, la domanda d'acqua dei diversi utilizzatori non sarebbe soddisfatta al 25% dei livelli di consumo attuale. - La tendenza di incremento dell'agricoltura di irrigazione crea un impatto più accentuato nelle risorse di sottosuolo di quello creato da un'ipotetica riduzione della piovosità all'85% - L'aumento del numero di laghi collinari riduce la quantità d'acqua che arriva a valle, allo stesso tempo aumenta la quantità d'acqua "persa" per evaporazione.

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This thesis presents several data processing and compression techniques capable of addressing the strict requirements of wireless sensor networks. After introducing a general overview of sensor networks, the energy problem is introduced, dividing the different energy reduction approaches according to the different subsystem they try to optimize. To manage the complexity brought by these techniques, a quick overview of the most common middlewares for WSNs is given, describing in detail SPINE2, a framework for data processing in the node environment. The focus is then shifted on the in-network aggregation techniques, used to reduce data sent by the network nodes trying to prolong the network lifetime as long as possible. Among the several techniques, the most promising approach is the Compressive Sensing (CS). To investigate this technique, a practical implementation of the algorithm is compared against a simpler aggregation scheme, deriving a mixed algorithm able to successfully reduce the power consumption. The analysis moves from compression implemented on single nodes to CS for signal ensembles, trying to exploit the correlations among sensors and nodes to improve compression and reconstruction quality. The two main techniques for signal ensembles, Distributed CS (DCS) and Kronecker CS (KCS), are introduced and compared against a common set of data gathered by real deployments. The best trade-off between reconstruction quality and power consumption is then investigated. The usage of CS is also addressed when the signal of interest is sampled at a Sub-Nyquist rate, evaluating the reconstruction performance. Finally the group sparsity CS (GS-CS) is compared to another well-known technique for reconstruction of signals from an highly sub-sampled version. These two frameworks are compared again against a real data-set and an insightful analysis of the trade-off between reconstruction quality and lifetime is given.

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Government policies play a critical role in influencing market conditions, institutions and overall agricultural productivity. The thesis therefore looks into the history of agriculture development in India. Taking a political economy perspective, the historical account looks at significant institutional and technological innovations carried out in pre- independent and post independent India. It further focuses on the Green Revolution in Asia, as forty years after; the agricultural community still faces the task of addressing recurrent issue of food security amidst emerging challenges, such as climate change. It examines the Green Revolution that took place in India during the late 1960s and 70s in a historical perspective, identifying two factors of institutional change and political leadership. Climate change in agriculture development has become a major concern to farmers, researchers and policy makers alike. However, there is little knowledge on the farmers’ perception to climate change and to the extent they coincide with actual climatic data. Using a qualitative approach,it looks into the perceptions of the farmers in four villages in the states of Maharashtra and Andhra Pradesh. While exploring the adaptation strategies, the chapter looks into the dynamics of who can afford a particular technology and who cannot and what leads to a particular adaptation decision thus determining the adaptive capacity in water management. The final section looks into the devolution of authority for natural resource management to local user groups through the Water Users’ Associations as an important approach to overcome the long-standing challenges of centralized state bureaucracies in India. It addresses the knowledge gap of why some local user groups are able to overcome governance challenges such as elite capture, while others-that work under the design principles developed by Elinor Ostrom. It draws conclusions on how local leadership, can be promoted to facilitate participatory irrigation management.

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Sustainable natural resource use requires that multiple actors reassess their situation in a systemic perspective. This can be conceptualised as a social learning process between actors from rural communities and the experts from outside organisations. A specifically designed workshop oriented towards a systemic view of natural resource use and the enhancement of mutual learning between local and external actors, provided the background for evaluating the potentials and constraints of intensified social learning processes. Case studies in rural communities in India, Bolivia, Peru and Mali showed that changes in the narratives of the participants of the workshop followed a similar temporal sequence relatively independently from their specific contexts. Social learning processes were found to be more likely to be successful if they 1) opened new space for communicative action, allowing for an intersubjective re-definition of the present situation, 2) contributed to rebalance the relationships between social capital and social, emotional and cognitive competencies within and between local and external actors.

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Dynamic spectrum access (DSA) aims at utilizing spectral opportunities both in time and frequency domains at any given location, which arise due to variations in spectrum usage. Recently, Cognitive radios (CRs) have been proposed as a means of implementing DSA. In this work we focus on the aspect of resource management in overlaid CRNs. We formulate resource allocation strategies for cognitive radio networks (CRNs) as mathematical optimization problems. Specifically, we focus on two key problems in resource management: Sum Rate Maximization and Maximization of Number of Admitted Users. Since both the above mentioned problems are NP hard due to presence of binary assignment variables, we propose novel graph based algorithms to optimally solve these problems. Further, we analyze the impact of location awareness on network performance of CRNs by considering three cases: Full location Aware, Partial location Aware and Non location Aware. Our results clearly show that location awareness has significant impact on performance of overlaid CRNs and leads to increase in spectrum utilization effciency.