Conflito, resistência e philía no Héracles furioso de Eurípides

In Heracles Mainomenos, by Euripides, the hero is submited to the ultimate test: win himself, accepting stay alive after committing an irremediable error. The dramatic action has dual motivation, human and divine. The human conflict requires resilience of families and friends of Heracles and the opposition of Lico is a key element to the action. In the subsequent clash between Heracles and the goddess Hera, victory lies with the deity, motivating the disaster, but confirms the heroics of Heracles, that resists the urge to annihilation after the murder of children. His friend, King Theseus, provides him the support needed to dissuade him from his purpose of annihilation and strengthens him for endurance. The valuation of philia is an important element in shaping the sense of this euripidean text.

Mapeamento de ocorrências de eventos perigosos no município de Santos SP: integração com dados de vulnerabilidade socioambiental

This study is based on the mapping of occurrences associated with social vulnerability and natural risks, which refer to the resilience of populations and territories, regarding natural hazards associated with the functioning of natural systems (eg, earthquakes, flood, mass movements). According to UNISDR (2014), the state of São Paulo is a reference in working with Urban Resilience and Disaster in the Resilient Cities Campaign (2014), considering the high investment in Risk Areas Mapping and Public Education Campaigns implemented by the Civil Defense. Thus, this study aims to mapping the occurrence of events related to Tree Falls, Erosion, Landslides, Irregular Housing, Rocky Blocks Falls, Wall Falls, Unroofing and Irregular Construction, attended by the Civil Defense in the city of Santos, São Paulo State, from 2011 to 2014. Thereafter, correlated analyzes to the Environmental Vulnerabilities were generated. The Environmental Vulnerability databases used in this dissertation compose the results of the CNPQ Project - Environmental Vulnerability Mapping of the State of Sao Paulo - Brazil: a methodological contribution of Freitas (2013) and Bortolettoet al (2014), with information collected from the 2010 Census (IBGE, 2010), on a census sectors scale. The adopted methodological procedure involves document analysis followed by data integration in Geographic Information System, through algorithms analysis and mapscrossing.The results obtained in Maps of Social and Environmental Vulnerability Occurrences presented areas of High or Very High Vulnerability. The main variables obtained with such characteristics are Irregular Housing, Landslides and Rocky Blocks Falls, which was associated with hilly terrain formations, with slopes above 30%. To the areas of Medium, Low and Very Low Vulnerability were associated the variables Tree Falls, Wall Falls, Erosion, Unroofing and Irregular Construction, which are spatially distributed without an...

PROFILE OF CAREGIVERS OF ELDERLY PEOPLE WITH ALZHEIMER DISEASE ASSOCIATED TO RESILIENCE

This exploratory and descriptive study described sociodemographic and health variables of caregivers of elderly people with Alzheimer's disease, associating care provided with resilience. Participants were 101 caregivers over 18 years old who accompanied older adults in a Primary Care Unit of a Brazilian public hospital in 2009. Questionnaires regarding the profile, the Beck Depression Inventory, and the Resilience Scale were used. Descriptive statistical analysis was performed. Most caregivers were female, without depression, aided by other people in providing care, and had a high degree of resilience. The variables degree of kinship, medical treatment, the use of medication, tiredness, prostration, discouragement, and caregivers' mental health had significant association with resilience. Physical health was significantly associated to experience in care, with 82 elderly people presenting acute cognitive damage. Older adults in the family context can benefit from a more resilient caregiver.

The structure and resilience of financial market networks

Financial markets can be viewed as a highly complex evolving system that is very sensitive to economic instabilities. The complex organization of the market can be represented in a suitable fashion in terms of complex networks, which can be constructed from stock prices such that each pair of stocks is connected by a weighted edge that encodes the distance between them. In this work, we propose an approach to analyze the topological and dynamic evolution of financial networks based on the stock correlation matrices. An entropy-related measurement is adopted to quantify the robustness of the evolving financial market organization. It is verified that the network topological organization suffers strong variation during financial instabilities and the networks in such periods become less robust. A statistical robust regression model is proposed to quantity the relationship between the network structure and resilience. The obtained coefficients of such model indicate that the average shortest path length is the measurement most related to network resilience coefficient. This result indicates that a collective behavior is observed between stocks during financial crisis. More specifically, stocks tend to synchronize their price evolution, leading to a high correlation between pair of stock prices, which contributes to the increase in distance between them and, consequently, decrease the network resilience. (C) 2012 American Institute of Physics. [doi:10.1063/1.3683467]

Healthy maternal bonding as a resilience factor for depressive disorder

INTRODUCTION: Depressive disorders (DDs) are very prevalent disorders particularly in women, a high-risk gender group. Determining the risk and protective factors associated with the development of DDs is fundamental to planning preventive and therapeutic strategies. In this study, we evaluated the correlations between healthy maternal attachment and the development of DDs in adulthood. METHODS: We evaluated 52 women at 6 months to 1 year after premature childbirth at Maternidade Vila Nova Cachoeirinha. They were evaluated using the following instruments: Brazilian Criteria of Economic Classification,Parental Bonding Inventory (PBI),Center for Epidemiologic Studies Depression Scale (CES-D), and Edinburgh Postnatal Depression Scale (EPDS). Cut-off scores on the CES-D and EPDS were used to classifythe subjects as currently having a DD or having probable postpartum disorder (PPD) after childbirth. Multiple logistic regression was used to evaluate the risk factors associated with DDs. RESULTS: We found that 49.1% of the sample had a current depressive episode, and 73.6% had probable PPD. Based on logistic regression, current depression (odds ratio = 1.092 [confidence interval: 1.005; 1.186]), and a PPD (odds ratio = 1.108 [confidence interval: 1.011; 1.21]) were negatively correlated with affective maternal relationships. CONCLUSIONS: Women who reported healthy attachment with their mothers did not develop DDs when faced with stressful situations such as premature childbirth.

The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.

Assessing poverty with survey data. Uni-dimensional, multidimensional and resilience poverty analysis in Kenya

Traditionally Poverty has been measured by a unique indicator, income, assuming this was the most relevant dimension of poverty. Sen’s approach has dramatically changed this idea shedding light over the existence of many more dimensions and over the multifaceted nature of poverty; poverty cannot be represented by a unique indicator that only can evaluate a specific aspect of poverty. This thesis tracks an ideal path along with the evolution of the poverty analysis. Starting from the unidimensional analysis based on income and consumptions, this research enter the world of multidimensional analysis. After reviewing the principal approaches, the Foster and Alkire method is critically analyzed and implemented over data from Kenya. A step further is moved in the third part of the thesis, introducing a new approach to multidimensional poverty assessment: the resilience analysis.

Lifelines in case of Natural Disaster Emergencies

In order to handle Natural disasters, emergency areas are often individuated over the territory, close to populated centres. In these areas, rescue services are located which respond with resources and materials for population relief. A method of automatic positioning of these centres in case of a flood or an earthquake is presented. The positioning procedure consists of two distinct parts developed by the research group of Prof Michael G. H. Bell of Imperial College, London, refined and applied to real cases at the University of Bologna under the coordination of Prof Ezio Todini. There are certain requirements that need to be observed such as the maximum number of rescue points as well as the number of people involved. Initially, the candidate points are decided according to the ones proposed by the local civil protection services. We then calculate all possible routes from each candidate rescue point to all other points, generally using the concept of the "hyperpath", namely a set of paths each one of which may be optimal. The attributes of the road network are of fundamental importance, both for the calculation of the ideal distance and eventual delays due to the event measured in travel time units. In a second phase, the distances are used to decide the optimum rescue point positions using heuristics. This second part functions by "elimination". In the beginning, all points are considered rescue centres. During every interaction we wish to delete one point and calculate the impact it creates. In each case, we delete the point that creates less impact until we reach the number of rescue centres we wish to keep.

Progettazione e implementazione di una rete di sensori mobili Arduino per scenari di Disaster Recovery

Sommario Il progetto descritto in questo documento consiste nella realizzazione di una prima applicazione pratica di uno specifico studio di ricerca rivolto al ripristino di reti wireless in scenari post-calamità naturali. In principio è stata descritta un’ampia analisi delle problematiche di rete che si vengono a creare in seguito ad eventi catastrofici. Successivamente, analizzando le varie tecniche e tecnologie oggetto di studio di diversi gruppi di ricerca, si è scelto di collaborare con il progetto STEM-Mesh, essendo ancora in fase sperimentale, il quale affronta il problema di ristabilire la connettività di rete in questi particolari scenari, attraverso l’utilizzo di tecnologie Cognitive Radio (CR), mobilità controllata e principi di reti auto-organizzanti. Di questo primo approccio pratico sono state poi descritte le fasi di progettazione, implementazione e testing. Nella fase di progettazione sono state studiate le componenti hardware e software che rispettassero il più possibile i requisiti e le caratteristiche dei dispositivi “staminali” STEM-Node cuore del progetto STEM-Mesh, ovvero dei dispositivi wireless altamente auto-riconfiguranti ed auto-organizzanti che possono diventare dispositivi sostituivi ai nodi compromessi in una rete, riconfigurandosi appunto in base alle funzionalità interrotte. Nella fase di implementazione si è passati alla stesura del codice, in Python e Wiring, abilitante il dispositivo STEM-Node. Infine nella fase di testing si è verificato che i risultati fossero quelli desiderati e che il sistema realizzato funzionasse come previsto.

Studio, Realizzazione e Simulazione di SaveMe, un'applicazione Android per il Disaster Recovery

Quando avvengono disastri naturali, spesso la copertura dati viene a mancare e le infrastutture o sono danneggiate o sono sovraccariche; in questo modo è difficile comunicare sia da parte delle persone che hanno bisogno di aiuto, sia da parte dei soccorritori che cercano di organizzare i soccorsi. Con questa tesi si è voluto realizzare un'applicazione Android che permetta agli utenti di segnalare il proprio bisogno di aiuto, anche se il device non ha una connessione internet attiva. L'applicazione, sfruttando il Wi-Fi e il Wi-Fi Direct, cercherà di formare una rete di dispositivi, attraverso la quale i messaggi di aiuto degli utenti verranno scambiati tra i device. Questa rete, man mano, si allargherà fino ad arrivare ad includere device che avranno una connessione dati attiva. Questi comunicheranno con il mio server, al quale manderanno tutti i messaggi che gli sono arrivati. I dati del server, ossia i messaggi che sono stati mandati dagli utenti, verranno mostrati sul sito ltw1528.web.cs.unibo.it. Attraverso questo sito, i soccorritori potranno vedere la posizione degli utenti in stato di bisogno, cosicché potranno mandarli un messaggio di soccorso, che si propagherà nella rete formatasi in precedenza, ed organizzare i soccorsi in maniera ottimale. Si è anche voluto fare uno studio simulativo per testare la scalabilità dell'applicazione e per raccogliere dati statistici, quali il delay medio tra l'arrivo del messaggio al device con connessione dati e il tempo in cui è stato creato, l'influenza sulla batteria del numero dei messaggi scambiati e il numero degli host, il delay tra il tempo di invio e il tempo di arrivo nello scambio di messaggi al variare del numero degli host.

Assessment of the resilience of coral reefs to natural and human disturbances by means of recruitment panels in Indo-Pacific

Indo-Pacific region encompasses about 75% of world's coral reefs, but hard coral cover in this region experienced a 32% region-wide decline since 1970s. This great change is primarily ascribable to natural and anthropogenic pressures, including climate change and human activities effects. Coral reef conservation requires management strategies oriented to maintain their diversity and the capacity to provide ecosystem goods and services. Coral reef resilience, i.e. the capacity to recover after disturbances, is critical to their long-term persistence. The aims of the present study were to design and to test field experiments intended to measure changes in recruitment processes, as a fundamental aspect of the coral reef resilience. Recruitment experiments, using artificial panels suspended in the water column, were carried out in two Indo-Pacific locations affected by different disturbances: a new mine in Bangka Island (Indonesia), and the increased sedimentation due to coastal dynamics in Vavvaru Island (Maldives). One (or more) putatively disturbed site(s) was selected to be tested against 3 randomly selected control sites. Panels’ arrangement simulates 2 proximities to living corals, i.e. the sources of propagules: few centimetres and 2 meters over. Panels were deployed simultaneously at each site and left submerged for about five months. Recruits were identified to the lowest possible taxonomic level and recruited assemblages were analysed in terms of percent cover. In general it was not possible to detect significant differences between the benthic assemblages recruited in disturbed and control sites. The high variability observed in recruits assemblages structure among control sites may be so large to mask the possible disturbance effects. Only few taxa showed possible effects of the disturb they undergo. The field tests have highlighted strengths and weaknesses of the proposed approach and, based on these results, some possible improvements were suggested.