Best Selling Books by Robert Clark

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Are you one of those people who are getting tired of being manipulated? Perhaps it''s time that you also learn and master manipulation and use it for your advantage. Most people these days are not familiar with dark psychology and the power it may bring. Inside this book NLP Manipulation and Body Language, it will offer you a comprehensive guide about NLP manipulation and body language and how these two works in affecting other people''s minds. This guide takes account of a brief text, which provides you efficient lessons about NLP manipulation and its benefits. The author of this book has presented the benefits of knowing how to read body language and breaking down steps to changing thoughts and thinking styles. In short, this book is the perfect one you need, especially if you are a beginner in the subject. Maybe you are tired of people using you for their gain. Luckily, this book has the methods to stop brainwashing and manipulation. What you will learn inside this book will transform your perspective and boost your confidence. The methods and techniques defined inside this guide will ensure you will never be hurt again, and instead use them for your return. Here''s a quick peek of what you will find inside this book: What''s dark psychology? What is persuasion Neuro-linguistic programming Fundamentals of NLP The secrets of body language What is the psychology manipulation technique? What is brainwashing? Learning to say no And so much more! Keep in mind that knowledge is power. It will help you put those annoying characters in an advantage. Take control today and defend yourself and your family from brainwashers and manipulators. Are you ready to find out more? Scroll this page up and click "BUY NOW" to start learning!

Economic theory provides ambiguous and conflicting predictions about the association between algorithmic pricing and competition. In this paper we provide the first empirical analysis of this relationship. We study Germany''s retail gasoline market where algorithmic-pricing software became widely available by mid-2017, and for which we have access to comprehensive, high-frequency price data. Because adoption dates are unknown, we identify gas stations that adopt algorithmic-pricing software by testing for structural breaks in markers associated with algo-rithmic pricing. We find a large number of station-level structural breaks around the suspected time of large-scale adoption. Using this information we investigate the impact of adoption on outcomes linked to competition. Because station-level adoption is endogenous, we use brand headquarter-level adoption decisions as instruments. Our IV results show that adoption in-creases margins by 9%, but only in non-monopoly markets. Restricting attention to duopoly markets, we find that market-level margins do not change when only one of the two stations adopts, but increase by 28% in markets where both do. These results suggest that AI adoption has a significant effect on competition.

This exhibition takes its evocative base from the atmosphere of expectation and suspense of dawn and dusk. Prominent elements of painting, drawing and text are disorientated by combination with photography, sculpture, found objects, assemblage, theatrical lighting and recorded sound.

This paper develops and estimates a search and bargaining model designed to measure the welfare loss associated with frictions in oligopoly markets with negotiated prices. We use the model to quantify the consumer surplus loss induced by the presence of search frictions in the Canadian mortgage market, and evaluate the relative importance of market power, inefficient allocation, and direct search costs in explaining the loss. Our results suggest that search frictions reduce consumer surplus by almost $20 per month on a $100, 000 loan, and that 17% of this reduction can be associated with discrimination, 30% with inefficient matching, and the remainder with the search cost. In addition, we find that product differentiation attenuates the effect of search frictions by reducing the cost of gathering quotes and improving efficiency, while posted prices do so through the ability of the first-mover to price discriminate. In contrast, competition amplifies the welfare effect of search frictions. Despite this, the overall effect of competition is to increase aggregate consumer surplus and drive prices down, but these effects are not spread equally across consumers: those with low search costs benefit more from competition.

The 1994 Riegle Neal (RN) Act removed interstate banking restrictions in the US. The primary motivation was to permit geographic risk diversification (GRD). Using a factor model to measure banks'' geographic risk, we show that RN expanded GRD possibilities in small states, but that few banks took advantage. Using our measure of geographic risk and an empirical model of bank choice of branch network, we identify preferences towards GRD separately from the contribution of other factors that may limit the expansion of some banks after RN. Counterfactual experiments based on the estimated structural model show that risk has a significant negative effect on bank value, but this has been counterbalanced by economies of density/scale, reallocation/merging costs, and concerns for local market power.

Waste characterization is probably the most costly part of radioactive waste management. An important part of this characterization is the measurements of headspace gas in waste containers in order to demonstrate the compliance with Resource Conservation and Recovery Act (RCRA) or transportation requirements. The traditional chemical analysis methods, which include all steps of gas sampling, sample shipment and laboratory analysis, are expensive and time-consuming as well as increasing worker''s exposure to hazardous environments. Therefore, an alternative technique that can provide quick, in-situ, and real-time detections of headspace gas compositions is highly desirable. This report summarizes the results obtained from a Laboratory Directed Research & Development (LDRD) project entitled ''Potential Application of Microsensor Technology in Radioactive Waste Management with Emphasis on Headspace Gas Detection''. The objective of this project is to bridge the technical gap between the current status of microsensor development and the intended applications of these sensors in nuclear waste management. The major results are summarized below: {sm_bullet} A literature review was conducted on the regulatory requirements for headspace gas sampling/analysis in waste characterization and monitoring. The most relevant gaseous species and the related physiochemical environments were identified. It was found that preconcentrators might be needed in order for chemiresistor sensors to meet desired detection {sm_bullet} A long-term stability test was conducted for a polymer-based chemresistor sensor array. Significant drifts were observed over the time duration of one month. Such drifts should be taken into account for long-term in-situ monitoring. {sm_bullet} Several techniques were explored to improve the performance of sensor polymers. It has been demonstrated that freeze deposition of black carbon (CB)-polymer composite can effectively eliminate the so-called ''coffee ring'' effect and lead to a desirable uniform distribution of CB particles in sensing polymer films. The optimal ratio of CB/polymer has been determined. UV irradiation has been shown to improve sensor sensitivity. {sm_bullet} From a large set of commercially available polymers, five polymers were selected to form a sensor array that was able to provide optimal responses to six target-volatile organic compounds (VOCs). A series of tests on the response of sensor array to various VOC concentrations have been performed. Linear sensor responses have been observed over the tested concentration ranges, although the responses over a whole concentration range are generally nonlinear. {sm_bullet} Inverse models have been developed for identifying individual VOCs based on sensor array responses. A linear solvation energy model is particularly promising for identifying an unknown VOC in a single-component system. It has been demonstrated that a sensor array as such we developed is able to discriminate waste containers for their total VOC concentrations and therefore can be used as screening tool for reducing the existing headspace gas sampling rate. {sm_bullet} Various VOC preconcentrators have been fabricated using Carboxen 1000 as an absorbent. Extensive tests have been conducted in order to obtain optimal configurations and parameter ranges for preconcentrator performance. It has been shown that use of preconcentrators can reduce the detection limits of chemiresistors by two orders of magnitude. The life span of preconcentrators under various physiochemical conditions has also been evaluated. {sm_bullet} The performance of Pd film-based H2 sensors in the presence of VOCs has been evaluated. The interference of sensor readings by VOC has been observed, which can be attributed to the interference of VOC with the H2-O2 reaction on the Pd alloy surface. This interference can be eliminated by coating a layer of silicon dioxide on sensing film surface. Our work has demonstrated a wide range of applications of gas microsensors in radioactive waste management. Such applications can potentially lead to a significant cost saving and risk reduction for waste characterization.

Geographic dispersion of depositors, borrowers, and banks may prevent funding from flowing to areas of high loan demand, limiting credit access. We provide evidence of geographic imbalance of deposits and loans, and develop a methodology for investigating the contribution to this imbalance of (i) branch networks, (ii) market power, and (iii) scope economies, using US bank-county-year level data. Results are based on a novel measure of deposits and loans imbalance, and estimation of a structural model of bank competition that admits interconnections across locations and between deposit and loan markets, thereby permitting counterfactuals highlighting the role of the three factors.