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Chapter 1 presents an introduction to this title. It discusses the classification of psychological disorders (the DSM and ICD), the advantages of a transdiagnostic perspective (comorbidity, treatment development, response to treatment) and disadvantages. Processes for evaluating the transdiagnostic process perspective are also outlined (the cognitive behavioural processes, psychological disorders, quality of evidence, and research samples), and the aims of this title.
The transmission of quantum information over long distances will allow new forms of data security, based on quantum cryptography. These new technologies rely for security on the quantum "uncertainty principle" and on the long distance transmission of "quantum entanglement". A new type of tele-communications device called the "quantum repeater" can allow the faithful transmission of quantum information over worldwide distances, in spite of the inevitably severe losses while propagating along optical fibers. In a quantum repeater, information is stored in the quantum state of a semiconductor electron spin, while complementary entangled information is transmitted as a photon down the optical fiber. This long-range entanglement permits the execution of the teleportation algorithm, which accurately transmits a quantum state over long distances. The basis for an opto-electronic quantum repeater is an entanglement preserving InP photodetector with special selection rules, in which polarization information from a photon is transferred to spin polarization information of a photo-electron, and vice versa. Nevertheless, the algorithm requires that the photo-electron be transferred to a group IV semiconductor for long time storage since there is rapid loss of quantum information in III-V semiconductors. This paper reviews the experimental status of semiconductor quantum repeaters, including the spin resonance transistor logic gates, and the experimental detection of single photons in a manner that preserves their spin information.
Imagine future computers that can perform calculations a million times faster than today’s most powerful supercomputers at only a tiny fraction of the energy cost. Imagine power being generated, stored, and then transported across the national grid with nearly no loss. Imagine ultrasensitive sensors that keep us in the loop on what is happening at home or work, warn us when something is going wrong around us, keep us safe from pathogens, and provide unprecedented control of manufacturing and chemical processes. And imagine smart windows, smart clothes, smart buildings, supersmart personal electronics, and many other items — all made from materials that can change their properties “on demand” to carry out the functions we want. The key to attaining these technological possibilities in the 21st century is a new class of materials largely unknown to the general public at this time but destined to become as familiar as silicon. Welcome to the world of quantum materials — materials in which the extraordinary effects of quantum mechanics give rise to exotic and often incredible properties. To realize the tantalizing potential of quantum materials, there is much basic scientific research to be done. Recognizing the high potential impact of quantum materials, nations around the world are already investing in this effort. We must learn how the astonishing properties of quantum materials can be tailored to address our most pressing technological needs, and we must dramatically improve our ability to synthesize, characterize, and control quantum materials. To accelerate the progress of quantum materials research, the U.S. Department of Energy’s Office of Science, Office of Basic Energy Sciences (BES), sponsored a “Basic Research Needs Workshop on Quantum Materials for Energy-relevant Technology,” which was held near Washington, D.C. on February 8–10, 2016. Attended by more than 100 leading national and international scientific experts in the synthesis, characterization, and theory of quantum materials, the workshop identified four priority research directions (PRDs) that will lay the foundation to better understand quantum materials and harness their rich technological potential.
This paper is the second in a two-part series [1] that aims to provide a rigorous foundation in the nonlinear domain for the two energybased concepts fundamental to network theory: passivity and losslessness. We hope to clarify the way they enter into both the state-space and the input-output viewpoints. Our definition of losslessness is modeled on that of a "conservative system" in classical mechanics; several examples are used to compare it with other concepts of losslessness currently found in the literature. We show in detail how this definition avoids the anomalies and contradictions that many other definitions produce. This concept of losslessness has the desirable property of being preserved under interconnections, and we extend it to one that is representation independent as well. It is applied to five common classes of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</tex> -ports, yielding explicit criteria for losslessness in terms of the state and output equations. In particular we give a rigorous justification for the various equivalent criteria in the linear case. A network realization and a new explicit canonical form of state representation are derived for a large class of lossless nonlinear systems.
Abstract We report an approach to conducting the hydroaminomethylation of diverse α‐olefins with a wide range of alkyl, aryl, and heteroarylamines at relatively low temperatures (70–80 °C) and pressures (1.0–3.4 bar) of synthesis gas. This approach is based on simultaneously using two distinct catalysts that are mutually compatible. The hydroformylation step is catalyzed by a rhodium diphosphine complex, and the reductive amination step, which is conducted as a transfer hydrogenation with aqueous, buffered sodium formate as the reducing agent, is catalyzed by a cyclometallated iridium complex. By adjusting the ratio of CO to H 2 , we conducted the reaction at one atmosphere of gas with little change in yield. A diverse array of olefins and amines, including hetreroarylamines that do not react under more conventional conditions with a single catalyst, underwent hydroaminomethylation with this new system, and the pharmaceutical ibutilide was prepared in higher yield and under milder conditions than with a single catalyst.
Pitting attack occurs in ca. 10% of domestic and industrial gas fired heat exchangers, and generally appears during the first five years of operation. The causes of pitting corrosion are several, including the use of chlorinated solvents in the ambient environment, the quality of the gas burned, and the material used to fabricate the heat exchanger. Several attempts have been made to develop predictive models based upon observed pitting data, but they are limited in their predictive capabilities. Recently, we have initiated a program to develop a deterministic model to predict the damage resulting from pitting corrosion. However, the problem is complicated, and several restrictive assumptions have had to be made to render the problem tractable. An alternative approach, which is developed here, is to assume that we have no intrinsic information concerning the physico-chemical mechanisms involved in the nucleation and growth of pits, but that we are able to discern relationships between the observed damage and various input parameters which may be used to extrapolate the damage to future times. Probably the most efficient method of establishing these relationships is to use artificial intelligence techniques. Accordingly, we describe here an Artificial Neural Network (ANN) for predicting pitting damage functions for condensing heat exchangers. When the net is trained with reliable data and knowledge, we are able to predict accurately damage functions under significantly different conditions.