Background: Integrity involves adherence to a set of moral principles and the courage to act on those principles. In clinical psychology and other health professions, consideration of integrity ensures that the upmost care and respect is given to all- regardless of individual background or mental health condition. However, despite the salience of integrity in clinical practice, it is frequently neglected in the literature. Thus, the main aim of the present study was to test a theoretical model and investigate the use of integrity assessments in clinical populations.
Subjects and Methods: Participants (N=80) were assessed using the Structured Interview of Personality Organization (STIPO), self-reports and simulated cheating task.
Results: Statistical analysis revealed that age, as well as agreeableness; conscientiousness, impression management, moral values and dark triad traits, accounted for 63% of the variance with age and impression management as significant predictors. Integrity was a predictor for cheating at work (Adj. R2 = 0.41), unethical work behavior (Adj. R2 = 0.27) and simulated cheating task (Adj. R2 = 0.07).
Conclusions: The results of the study suggest the possibility of using integrity tests in mood disorders with a moderate level of mood and anxiety impairments.

Evaporation is one of the main essential components of the hydrologic cycle. The study of this parameter has significant consequences for knowing reservoir level forecasts and water resource management. This study aimed to test the three artificial neural networks (feed-forward, Elman and nonlinear autoregressive network with exogenous inputs (NARX) models) and multiple linear regression to predict the rate of evaporation in the Boudaroua reservoir using the calculated values obtained from the energy budget method. The various combinations of meteorological data, including solar radiation, air temperature, relative humidity, and wind speed, are used for the training and testing of the model’s studies. The architecture that was finally chosen for three types of neural networks has the 4-10-1 structure, with contents of 4 neurons in the input layer, 10 neurons in the hidden layer and 1 neuron in the output layer. The calculated evaporation rate presents a typical annual cycle, with low values in winter and high values in summer. Moreover, air temperature and solar radiation were identified as meteorological variables that mostly influenced the rate of evaporation in this reservoir, with an annual average equal to 4.67 mm∙d ^–1. The performance evaluation criteria, including the coefficient of determination (R ²), root mean square error ( RMSE) and mean absolute error ( MAE) approved that all the networks studied were valid for the simulation of evaporation rate and gave better results than the multiple linear regression (MLR) models in the study area.

This paper presents and assesses an inverse heat conduction problem (IHCP) solution procedure which was developed to determine the local convective heat transfer coefficient along the circumferential coordinate at the inner wall of a coiled pipe by applying the filtering technique approach to infrared temperature maps acquired on the outer tube’s wall. The data−processing procedure filters out the unwanted noise from the raw temperature data to enable the direct calculation of its Laplacian which is embedded in the formulation of the inverse heat conduction problem. The presented technique is experimentally verified using data that were acquired in the laminar flow regime that is frequently found in coiled−tube heat−exchanger applications. The estimated convective heat transfer coefficient distributions are substantially consistent with the available numerical results in the scientific literature.

Between 2000 and 2008 the Directive 2000/60/EC of the European Parliament and the Council of 23 October 2000 establishing a framework for the Community action in the field of water policy had been the principal legal document relating to water policy of the European Union Member States. The adoption of Directive 2008/56/EC of the European Parliament and the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy (Marine Strategy Framework Directive) broadened the scope of the EU law to include protection of themarine environment. This article also covers the implementation of the Marine Strategy Framework Directive within Polish legal system.

Land based sources make up 80% of all marine environment pollution.

The Directive’s aim is twofold: (1) to create uniform legal mechanism for the protection of the inland, coastal and transitional waters for entire Europe, and (2) to achieve environmental, social and economic goals.