Adoção de práticas de gestão ambiental e seus efeitos nos desempenhos ambiental e financeiro de acordo com a percepção dos gestores: uma survey

Alterações nos regulamentos, mudanças no comportamento do consumidor e potenciais ganhos de competitividade são alguns dos motivos citados por gestores como motivadores para a adoção de várias práticas de gestão ambiental. Estas práticas afetam, de acordo com outros estudos, os desempenhos ambiental e financeiro das empresas. No entanto, práticas diferentes afetam de forma diferente os desempenhos mencionados, ou ainda algumas práticas podem ser usadas de forma propagandísticas, podendo afetar o desempenho financeiro, mas não necessariamente o desempenho ambiental.. Assim, este trabalho tem como objetivo verificar se há relação entre as práticas de gestão ambiental (aqui divididas em \'práticas de planejamento e organização\', \'práticas operacionais\' e \'práticas comunicacionais\') utilizadas pelas empresas e os desempenhos ambiental e financeiro destas por meio da análise de empresas do setor químico brasileiro, utilizando modelagem de equações estruturais (Structural Equation Modeling - SEM) e uma survey para coleta dos dados subjetivoprimários (percepção dos gestores). Para tanto, foi desenvolvido um modelo teórico e construído um diagrama de caminhos de relações causais que foi convertido em um conjunto de modelos estruturais e de mensuração. Para testar o modelo proposto, um teste empírico foi aplicado em empresas do setor químico brasileiro. Os resultados deste teste foram os seguintes: (a) PGAs de planejamento e organização possuem uma relação positiva com o desempenho ambiental e o com desempenho financeiro; (b) PGAs operacionais possuem uma relação negativa com o desempenho financeiro; (c) PGAs comunicacionais possuem uma relação positiva com o desempenho financeiro; (d) Não há relação estatisticamente significativa entre as PGAs operacionais e o desempenho ambiental; (e) Não há relação estatisticamente significativa entre as PGAs comunicacionais e o desempenho ambiental; (f) Não há relação estatisticamente significativa entre o desempenho ambiental e o desempenho financeiro. Neste estudo, as práticas de gestão ambiental se relacionam mais significativamente com o desempenho financeiro, podendo indicar, na amostra estudada, um perfil menos proativo de gestão ambiental, com foco na adequação legar para a continuar com um bom desempenho financeiro.

Towards Closed-loop Deep Brain Stimulation: Behavior Recognition from Human STN

Deep brain stimulation (DBS) provides significant therapeutic benefit for movement disorders such as Parkinson’s disease (PD). Current DBS devices lack real-time feedback (thus are open loop) and stimulation parameters are adjusted during scheduled visits with a clinician. A closed-loop DBS system may reduce power consumption and side effects by adjusting stimulation parameters based on patient’s behavior. Thus behavior detection is a major step in designing such systems. Various physiological signals can be used to recognize the behaviors. Subthalamic Nucleus (STN) Local field Potential (LFP) is a great candidate signal for the neural feedback, because it can be recorded from the stimulation lead and does not require additional sensors. This thesis proposes novel detection and classification techniques for behavior recognition based on deep brain LFP. Behavior detection from such signals is the vital step in developing the next generation of closed-loop DBS devices. LFP recordings from 13 subjects are utilized in this study to design and evaluate our method. Recordings were performed during the surgery and the subjects were asked to perform various behavioral tasks. Various techniques are used understand how the behaviors modulate the STN. One method studies the time-frequency patterns in the STN LFP during the tasks. Another method measures the temporal inter-hemispheric connectivity of the STN as well as the connectivity between STN and Pre-frontal Cortex (PFC). Experimental results demonstrate that different behaviors create different m odulation patterns in STN and it’s connectivity. We use these patterns as features to classify behaviors. A method for single trial recognition of the patient’s current task is proposed. This method uses wavelet coefficients as features and support vector machine (SVM) as the classifier for recognition of a selection of behaviors: speech, motor, and random. The proposed method is 82.4% accurate for the binary classification and 73.2% for classifying three tasks. As the next step, a practical behavior detection method which asynchronously detects behaviors is proposed. This method does not use any priori knowledge of behavior onsets and is capable of asynchronously detect the finger movements of PD patients. Our study indicates that there is a motor-modulated inter-hemispheric connectivity between LFP signals recorded bilaterally from STN. We utilize a non-linear regression method to measure this inter-hemispheric connectivity and to detect the finger movements. Our experimental results using STN LFP recorded from eight patients with PD demonstrate this is a promising approach for behavior detection and developing novel closed-loop DBS systems.

A VLT/FLAMES survey for massive binaries in Westerlund 1. III. The WC9d binary W239 and implications for massive stellar evolution

Context. There is growing evidence that a treatment of binarity amongst OB stars is essential for a full theory of stellar evolution. However the binary properties of massive stars – frequency, mass ratio & orbital separation – are still poorly constrained. Aims. In order to address this shortcoming we have undertaken a multiepoch spectroscopic study of the stellar population of the young massive cluster Westerlund 1. In this paper we present an investigation into the nature of the dusty Wolf-Rayet star and candidate binary W239. Methods. To accomplish this we have utilised our spectroscopic data in conjunction with multi-year optical and near-IR photometric observations in order to search for binary signatures. Comparison of these data to synthetic non-LTE model atmosphere spectra were used to derive the fundamental properties of the WC9 primary. Results. We found W239 to have an orbital period of only ~5.05 days, making it one of the most compact WC binaries yet identified. Analysis of the long term near-IR lightcurve reveals a significant flare between 2004-6. We interpret this as evidence for a third massive stellar component in the system in a long period (>6 yr), eccentric orbit, with dust production occuring at periastron leading to the flare. The presence of a near-IR excess characteristic of hot (~1300 K) dust at every epoch is consistent with the expectation that the subset of persistent dust forming WC stars are short (<1 yr) period binaries, although confirmation will require further observations. Non-LTE model atmosphere analysis of the spectrum reveals the physical properties of the WC9 component to be fully consistent with other Galactic examples. Conclusions. The simultaneous presence of both short period Wolf-Rayet binaries and cool hypergiants within Wd 1 provides compelling evidence for a bifurcation in the post-Main Sequence evolution of massive stars due to binarity. Short period O+OB binaries will evolve directly to the Wolf-Rayet phase, either due to an episode of binary mediated mass loss – likely via case A mass transfer or a contact configuration – or via chemically homogenous evolution. Conversely, long period binaries and single stars will instead undergo a red loop across the HR diagram via a cool hypergiant phase. Future analysis of the full spectroscopic dataset for Wd 1 will constrain the proportion of massive stars experiencing each pathway; hence quantifying the importance of binarity in massive stellar evolution up to and beyond supernova and the resultant production of relativistic remnants.

Data analysis using circular causality in networks

Complex systems in causal relationships are known to be circular rather than linear; this means that a particular result is not produced by a single cause, but rather that both positive and negative feedback processes are involved. However, although interpreting systemic interrelationships requires a language formed by circles, this has only been developed at the diagram level, and not from an axiomatic point of view. The first difficulty encountered when analysing any complex system is that usually the only data available relate to the various variables, so the first objective was to transform these data into cause-and-effect relationships. Once this initial step was taken, our discrete chaos theory could be applied by finding the causal circles that will form part of the system attractor and allow their behavior to be interpreted. As an application of the technique presented, we analyzed the system associated with the transcription factors of inflammatory diseases.

Using causal maps to support ex-post assessment of social impacts of dams

This paper presents the results of an ex-post assessment of two important dams in Brazil. The study follows the principles of Social Impact Management, which offer a suitable framework for analyzing the complex social transformations triggered by hydroelectric dams. In the implementation of this approach, participative causal maps were used to identify the ex-post social impacts of the Porto Primavera and Rosana dams on the community of Porto Rico, located along the High Paraná River. We found that in the operation of dams there are intermediate causes of a political nature, stemming from decisions based on values and interests not determined by neutral, exclusively technical reasons; and this insight opens up an area of action for managing the negative impacts of dams.

Causal Maps and Indirect Influences Analysis in the Diagnosis of Second-Home Tourism Impacts

This paper proposes a method for diagnosing the impacts of second-home tourism and illustrates it for a Mediterranean Spanish destination. This method proposes the application of network analysis software to the analysis of causal maps in order to create a causal network model based on stakeholder-identified impacts. The main innovation is the analysis of indirect relations in causal maps for the identification of the most influential nodes in the model. The results show that the most influential nodes are of a political nature, which contradicts previous diagnoses identifying technical planning as the ultimate cause of problems.

The ECB’s QE: Time to break the doom loop between banks and their governments. CEPS Policy Brief No. 328, March 2015

The recent crises have shown that the eurozone countries’ government debt is not immune to default. Applying a large-exposure requirement also to eurozone government debt would be a logical measure towards breaking the bank-government doom loop, given the low probability and high loss-given government default. But what would be the impact of the application of the large-exposure requirement on the banking sector as well as on government funding? This CEPS Policy Brief presents the results of a simulation exercise performed for 109 systemic banks in the eurozone, showing that their eurozone government debt portfolios would have to decrease by 3.2% or €63 billion, if a 50% of own-funds cap would be applied on large exposures. The eurozone central banks’ demand for sovereign bonds under the extended asset purchase programme further creates momentum to start gradually implementing the restriction.

Loop 390 construction around Marshall from US-80 to US-59 to I-20 : environmental impact statement.

F available only in microfiche.

Closed loop control of automotive engines. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Synthesis of information on roadway geometric causal factors Final report.

Federal Highway Administration, Office of Program and Policy Planning, Washington, D.C.

Speed measurement with inductance loop speed traps.

Texas Department of Transportation, Austin

Closing the fiscal policy loop : a long-run analysis /

Mode of access: Internet.

Study of the performance of aids to navigation systems : phase 1, closed loop model of the process of navigation /

Final report; March 1978.