Decision Models and Technology Can Help Psychiatry Develop Biomarkers

Why is psychiatry unable to define clinically useful biomarkers? We explore this question from the vantage of data and decision science and consider biomarkers as a form of phenotypic data that resolves a well-defined clinical decision. We introduce a framework that systematizes different forms of phenotypic data and further introduce the concept of decision model to describe the strategies a clinician uses to seek out, combine, and act on clinical data. Though many medical specialties rely on quantitative clinical data and operationalized decision models, we observe that, in psychiatry, clinical data are gathered and used in idiosyncratic decision models that exist solely in the clinician's mind and therefore are outside empirical evaluation. This, we argue, is a fundamental reason why psychiatry is unable to define clinically useful biomarkers: because psychiatry does not currently quantify clinical data, decision models cannot be operationalized and, in the absence of an operationalized decision model, it is impossible to define how a biomarker might be of use. Here, psychiatry might benefit from digital technologies that have recently emerged specifically to quantify clinically relevant facets of human behavior. We propose that digital tools might help psychiatry in two ways: first, by quantifying data already present in the standard clinical interaction and by allowing decision models to be operationalized and evaluated; second, by testing whether new forms of data might have value within an operationalized decision model. We reference successes from other medical specialties to illustrate how quantitative data and operationalized decision models improve patient care

Контент социальных медиа как условие эффективных коммуникаций малого бизнеса с потребителем (на примере компании "Полли-Вилли")

Актуальность проблем связана с динамикой роста популярности социальных медиа среди предпринимателей разного масштаба в России. В связи с этим необходимо сформировать методологию для наиболее эффективного применения инструментов, находящихся в арсенале социальных медиа. Объект – контент социальных медиа, формируемый для продвижения в социальных сетях. Предмет – подходы к технологиям создания контента для эффективной коммуникации предприятия малого бизнеса с потребителями. Проблема – отсутствие прописанных комплексных технологий, приемов и методов продвижения бизнеса в социальных медиа (Российский сегмент). Цель – разработка подходов к созданию эффективного контента для предприятий малого бизнеса.Objective: to develop the approaches of creating effective content for small businesses. Problem: the lack of prescribed complex technologies, techniques and methods of business promotion in social media (Russian Segment). Object: social media content generated for promotion in social networks. Subject: approaches to content creation technologies for effective communication between small businesses with consumers

Unipolar charging of nanometer aerosol particles in a corona ionizer

A corona ionizer for unipolar charging of nanometer-sized aerosol particles has been constructed and evaluated. Charging efficiency and particle deposition loss (electrostatic and diffusional) have been measured for particle mobility-equivalent diameters below View the MathML source, at different aerosol flow rates, different corona polarity and voltages, and also at two different positions of the corona electrode tip. Even though electrostatic deposition of charged particles within the ionizer was relatively large at high corona voltages, charging efficiencies as high as about 30% for View the MathML source particles could be achieved for positive and negative corona. This figure is almost one order of magnitude higher than that attainable with radioactive bipolar chargers, and similar to that recently reported for other types of unipolar chargers developed by several researchers.This work was supported by Spanish Ministerio de Ciencia y TecnologLUa, under grant no. MAT2001-1659.Peer reviewe

Top-Down Reorganization of Activity in the Visual Pathway after Learning a Shape Identification Task

Learning in shape identification led to global changes in activation across the entire visual pathway, as revealed with whole-brain fMRI. Following extensive training in a shape identification task, brain activity associated with trained shapes relative to the untrained shapes showed: (1) an increased level of activity in retinotopic cortex (RC), (2) a decrease in activation of the lateral occipital cortex (LO), and (3) a decrease in the dorsal attentional network. In addition, RC activations became more correlated (and LO activation, less correlated) with performance. When comparing target-present and target-absent trials within the trained condition, we observed a similar decrease in the dorsal attentional network but not in the visual cortices. These findings indicate a large-scale reorganization of activity in the visual pathway as a result of learning, with the RC becoming more involved (and the LO, less involved) and that these changes are triggered in a top-down manner depending on the perceptual task performed