It's All About Power: Validation of Trait and State Versions of the German Personal Sense of Power Scale

The present research was aimed at providing a German version of the Personal Sense of Power Scale (GPSPS; Anderson et al., 2012) and testing its psychometric properties. A personal sense of power describes the perception of one's ability to influence others. Probably every human relationship can be characterized by differences in power, which means that the measurement of experienced power is highly relevant. The availability of appropriate measures in different languages will help improve research and cross-cultural comparisons. Five studies were conducted. Internal consistency was high across all studies. Stability across 6 and 12 weeks was also high. A good fit was observed for a 6-item unidimensional version. Correlations with a variety of psychological and sociodemographic variables were in the expected directions, supporting nomological and criterion validity (Study 1). Measurement invariance across gender was demonstrated. In support of construct validity, a clinical sample scored significantly lower than others. Finally, two studies showed the sensitivity of a state version of the scale. We encourage researchers to use this scale as a reliable and valid instrument for assessing trait and state power

The nature of nervous conditions in Tsitsi Dangarembga's Nervous conditions

Tsitsi Dangarembga's Nervous Conditions is, primarily, a novel about nervous conditions. It's about many other things, too. It's about power. It's about women. About men and poverty and riches. It's about education and missions and colonial Zimbabwe. It's about black and white. But at the end of all of these themes lies the nervous conditions of the novel's characters and how they formed, how they are rooted, and how they express themselves. In this paper, I will examine the nervous conditions of three characters in particular: Babamukuru, Nyasha, and Tambu. By identifying each of their conditions and examining them closely, I hope to identify the causes of their condition, both the stimuli and the character's reactions to them. By comparing the way that each character develops their condition, I will discuss the complexity that Dangarembga allows her characters and the actual humanity that they are meant to reflect

DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels

The impact of soiling on solar panels is an important and well-studied problem in renewable energy sector. In this paper, we present the first convolutional neural network (CNN) based approach for solar panel soiling and defect analysis. Our approach takes an RGB image of solar panel and environmental factors as inputs to predict power loss, soiling localization, and soiling type. In computer vision, localization is a complex task which typically requires manually labeled training data such as bounding boxes or segmentation masks. Our proposed approach consists of specialized four stages which completely avoids localization ground truth and only needs panel images with power loss labels for training. The region of impact area obtained from the predicted localization masks are classified into soiling types using the webly supervised learning. For improving localization capabilities of CNNs, we introduce a novel bi-directional input-aware fusion (BiDIAF) block that reinforces the input at different levels of CNN to learn input-specific feature maps. Our empirical study shows that BiDIAF improves the power loss prediction accuracy by about 3% and localization accuracy by about 4%. Our end-to-end model yields further improvement of about 24% on localization when learned in a weakly supervised manner. Our approach is generalizable and showed promising results on web crawled solar panel images. Our system has a frame rate of 22 fps (including all steps) on a NVIDIA TitanX GPU. Additionally, we collected first of it's kind dataset for solar panel image analysis consisting 45,000+ images.Comment: Accepted for publication at WACV 201

Solar UAV for long endurance flights

The project have been done during the four months stay in Lithuania by Marc Olmo and LLibert Chamizo. The aim of the project was to obtain an Unmanned Aerial Vehicle powered by solar energy that was able to flight for as long as possible it within the limitations which are the budget, the time and the technological limitations. During the limited time, the team have been working in all the necessary phases to build a real scale and fully functional Solar UAV. This phases were the following; Theoretical Calculations, Design, Simulation, Building, Tests of the Airframe, Solar Energy Circuit Design and Building 2nd phase tests and Conclusion Obtaining. Through all the process several technical and engineering decisions have been made leading the team to obtain a fully functional 4,4m wingspan fixed wing UAV with a TOW of 5,5 Kg which is perfectly pilotable The final achievements have been a UAV capable of long endurance flight within daytime. The model achieved was able to maintain level, climb and turn perfectly using just the power gathered by the solar cells in its wing. During the development of the project the possibility of the multiday flight have been discussed leading to the conclusion that it's viable but not within the frame of this project. There have been done several tests under actual mission parameters loading the plane with the weight it would be carried during the missions that are most likely solar uav related such as mapping or surveillance. The final result have been correct and lead to an optimistic opinion about the whole Solar UAV paradigm and about the prototype modification and improvement in the near future to achieve even better results (which have been overviewed and planned in the actual report). A fatal error drove the airplane to a nosedive fall with disastrous consequences, the whole project feels and success though it's undoubtable

Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality

In the modern era, each Internet user leaves enormous amounts of auxiliary digital residuals (footprints) by using a variety of on-line services. All this data is already collected and stored for many years. In recent works, it was demonstrated that it's possible to apply simple machine learning methods to analyze collected digital footprints and to create psycho-demographic profiles of individuals. However, while these works clearly demonstrated the applicability of machine learning methods for such an analysis, created simple prediction models still lacks accuracy necessary to be successfully applied for practical needs. We have assumed that using advanced deep machine learning methods may considerably increase the accuracy of predictions. We started with simple machine learning methods to estimate basic prediction performance and moved further by applying advanced methods based on shallow and deep neural networks. Then we compared prediction power of studied models and made conclusions about its performance. Finally, we made hypotheses how prediction accuracy can be further improved. As result of this work, we provide full source code used in the experiments for all interested researchers and practitioners in corresponding GitHub repository. We believe that applying deep machine learning for psycho-demographic profiling may have an enormous impact on the society (for good or worse) and provides means for Artificial Intelligence (AI) systems to better understand humans by creating their psychological profiles. Thus AI agents may achieve the human-like ability to participate in conversation (communication) flow by anticipating human opponents' reactions, expectations, and behavior

Public-Access Provocations: An Informal Column

It's all well and good to blather on about refinements and extensions to online catalogs. More power to those providing full-text access and adding retrieval for visual materials and sound. Good access to non-textual material is a vital part of modern library catalogs

Did Enron Pillage California?

Revelations this summer about Enron Energy Services' byzantine electricity-trading practices have fueled charges that merchant power producers and traders artificially engineered the California electricity crisis of 2000-01. A careful examination of the suspect trading practices, however, reveals that there's less to those charges than meets the eye. The trading strategies in question all involved the pursuit of arbitrage opportunities, which arise when price discrepancies exist for a commodity in different locations or time periods. Exploiting arbitrage opportunities generally enhances economic efficiency by ensuring that electricity is reallocated where it is needed most. While some of the arbitrage opportunities were artificially manufactured by the companies themselves (in ways that may or may not have violated the law), most of them arose as a natural consequence of the market structure imposed by the California political system. In any case, it's unclear whether the trading strategies in question actually served to increase prices on balance. Even economists who are convinced that they did contribute to the increase in electricity prices attribute only about 5 percent of the alleged overcharges to the strategies at issue. Most of the price spike of 2000-01 is explained by drought, increased natural gas prices, the escalating cost of nitrogen oxide emissions credits, increases in consumer demand stemming from a hot summer and then a cold winter, and retail price controls that prevented market signals from disciplining producers or consumers. The price collapse in the summer of 2001 stemmed from a reversal of those conditions, not the imposition of federal price controls or the elimination of the trading practices in question

Considerations on replacing and suspending disciplinary sanctions. The issue of granting compensation for ungrounded or unlawful disciplinary sanctions

Court's ability to replace the disciplinary sanction imposed by the employer with an easier one is the power to individualize employee's disciplinary sanction imposed by the general statutory criteria – the circumstances of committing the crime, the degree of culpability of the employee consequences of a disciplinary offence, the general behaviour of the employee and any disciplinary sanctions previously incurred. Another issue under discussion and which was not brought about a unified point of view is about the possibility of temporary suspension of disciplinary decision enforcement, pending resolution of the challenge which the court was invested with. This is why it's necessary the intervention of the legislator as statuary express the legal nature of the disciplinary decision. In all cases where the court ordered the annulment of illegality punish the employee who suffered an injury will receive compensation under article 52, paragraph 2, article 78 or, where appropriate, article 269 paragraph 1 of the Labour Code