Field-sequential stereo television

System includes viewing devices that provide low interference to normal vision. It provides stereo display observable from broader area. Left and right video cameras are focused on object. Output signals from cameras are time provided by each camera. Multiplexed signal, fed to standard television monitor, displays left and right images of object

Optical conversion method

An optical pickup comprising an electrooptical device located between two crossed polarizing devices all positioned along a common optical axis is described for switching a TV system between a color mode and a black and white mode. Embodiments in which the electrooptical system is used as a neutral density filter, a selective color filter, or a light shutter as applied to a television camera are described. Where the optical system is used as a selective color filter to produce light beams of alternating color in a field sequential color television system, deactivation of the optical system renders the television a black and white system

Concept report: Microprocessor control of electrical power system

An electrical power system which uses a microprocessor for systems control and monitoring is described. The microprocessor controlled system permits real time modification of system parameters for optimizing a system configuration, especially in the event of an anomaly. By reducing the components count, the assembling and testing of the unit is simplified, and reliability is increased. A resuable modular power conversion system capable of satisfying a large percentage of space applications requirements is examined along with the programmable power processor. The PC global controller which handles systems control and external communication is analyzed, and a software description is given. A systems application summary is also included

100th Anniversary of Macromolecular Science Viewpoint: Opportunities in the Physics of Sequence-Defined Polymers

Polymer science has been driven by ever-increasing molecular complexity, as polymer synthesis expands an already-vast palette of chemical and architectural parameter space. Copolymers represent a key example, where simple homopolymers have given rise to random, alternating, gradient, and block copolymers. Polymer physics has provided the insight needed to explore this monomer sequence parameter space. The future of polymer science, however, must contend with further increases in monomer precision, as this class of macromolecules moves ever closer to the sequence-monodisperse polymers that are the workhorses of biology. The advent of sequence-defined polymers gives rise to opportunities for material design, with increasing levels of chemical information being incorporated into long-chain molecules; however, this also raises questions that polymer physics must address. What properties uniquely emerge from sequence-definition? Is this circumstance-dependent? How do we define and think about sequence dispersity? How do we think about a hierarchy of sequence effects? Are more sophisticated characterization methods, as well as theoretical and computational tools, needed to understand this class of macromolecules? The answers to these questions touch on many difficult scientific challenges, setting the stage for a rich future for sequence-defined polymers in polymer physics

Recent progress in the science of complex coacervation

Complex coacervation is an associative, liquid–liquid phase separation that can occur in solutions of oppositely-charged macromolecular species, such as proteins, polymers, and colloids. This process results in a coacervate phase, which is a dense mix of the oppositely-charged components, and a supernatant phase, which is primarily devoid of these same species. First observed almost a century ago, coacervates have since found relevance in a wide range of applications; they are used in personal care and food products, cutting edge biotechnology, and as a motif for materials design and self-assembly. There has recently been a renaissance in our understanding of this important class of material phenomena, bringing the science of coacervation to the forefront of polymer and colloid science, biophysics, and industrial materials design. In this review, we describe the emergence of a number of these new research directions, specifically in the context of polymer–polymer complex coacervates, which are inspired by a number of key physical and chemical insights and driven by a diverse range of experimental, theoretical, and computational approaches

Causes and consequences of sleep disturbance in young people

Section A presents a systematic review of the literature exploring the psychosocial challenges faced by young people with delayed sleep phase disorder (DSPD). The review found that young people with DSPD experience psychosocial challenges beyond those of their peers, including poorer cognitive performance and mental health and increased difficulties in social and family relationships. Implications for clinical practice were that clinicians should consider the presence and impact of DSPD in formulations to inform best treatment. Further UK-based research would be beneficial, with a particular focus on qualitative research to explore the young person’s inner experience. Section B presents a study exploring adolescents experience of sleep during the covid19 pandemic and proposes a theory of how sleep problems may be perpetuated. Grounded theory was used to analyse the interviews of eleven adolescents who had experienced changes in their sleep since the start of the pandemic. A theoretical model suggested that ways of coping with the pandemic had a detrimental impact on participants sleep, with the way in which this was managed in the longer term affecting recovery of their sleep. The model provides a framework for clinicians when working with adolescents with sleep problems in the wake of the pandemi

DYNAMIC INPUT DEMAND FUNCTIONS AND RESOURCE ADJUSTMENT FOR U.S. AGRICULTURE: STATE EVIDENCE

The paper presents an econometric model of dynamic agricultural input demand functions that includes research based technical change and autoregressive disturbances and fits the model to data for a set of state aggregates pooled over 1950-82. The methodological approach is one of developing a theoretical foundation for a dynamic input demand system and accepting state aggregate behavior as approximated by nonlinear adjustment costs and long-term profit maximization. Although other studies have largely ignored autocorrelation in dynamic input demand systems, the results show shorter adjustment lags with autocorrelation than without autocorrelation. Dynamic input demand own-price elasticities for six input groups are inelastic, and the demand functions poses significant cross-price and research stock effects.