YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy

The Real Time Bidding (RTB) protocol is by now more than a decade old. During this time, a handful of measurement papers have looked at bidding strategies, personal information flow, and cost of display advertising through RTB. In this paper, we present YourAdvalue, a privacy-preserving tool for displaying to end-users in a simple and intuitive manner their advertising value as seen through RTB. Using YourAdvalue, we measure desktop RTB prices in the wild, and compare them with desktop and mobile RTB prices reported by past work. We present how it estimates ad prices that are encrypted, and how it preserves user privacy while reporting results back to a data-server for analysis. We deployed our system, disseminated its browser extension, and collected data from 200 users, including 12000 ad impressions over 11 months. By analyzing this dataset, we show that desktop RTB prices have grown 4.6x over desktop RTB prices measured in 2013, and 3.8x over mobile RTB prices measured in 2015. We also study how user demographics associate with the intensity of RTB ecosystem tracking, leading to higher ad prices. We find that exchanging data between advertisers and/or data brokers through cookie-synchronization increases the median value of display ads by 19%. We also find that female and younger users are more targeted, suffering more tracking (via cookie synchronization) than male or elder users. As a result of this targeting in our dataset, the advertising value (i) of women is 2.4x higher than that of men, (ii) of 25-34 year-olds is 2.5x higher than that of 35-44 year-olds, (iii) is most expensive on weekends and early mornings.

Hands-On Deformation of Volumetric Anatomical Imageson a Touchscreen

In this work, we propose a novel metaphor to interact with volumetric anatomical images, e.g., magnetic resonance imaging or computed tomography scans. Beyond simple visual inspection, we empower users to reach the visible anatomical elements directly with their hands, and then move and deform them through natural gestures, while respecting the mechanical behavior of the underlying anatomy. This interaction metaphor relies on novel technical methods that address three major challenges: selection of anatomical elements in volumetric images, mapping of 2D manipulation gestures to 3D transformations, and real-time deformation of the volumetric images. All components of the interaction metaphor have been designed to capture the user’s intent in an intuitive manner, solving the mapping from the 2D touchscreen to the visible elements of the 3D volume. As a result, users have the ability to interact with medical volume images much like they would do with physical anatomy, directly with their hands.

Interpretation of Ligand-Based Activity Cliff Prediction Models Using the Matched Molecular Pair Kernel

Activity cliffs (ACs) are formed by two structurally similar compounds with a large difference in potency. Accurate AC prediction is expected to help researchers’ decisions in the early stages of drug discovery. Previously, predictive models based on matched molecular pair (MMP) cliffs have been proposed. However, the proposed methods face a challenge of interpretability due to the black-box character of the predictive models. In this study, we developed interpretable MMP fingerprints and modified a model-specific interpretation approach for models based on a support vector machine (SVM) and MMP kernel. We compared important features highlighted by this SVM-based interpretation approach and the SHapley Additive exPlanations (SHAP) as a major model-independent approach. The model-specific approach could capture the difference between AC and non-AC, while SHAP assigned high weights to the features not present in the test instances. For specific MMPs, the feature weights mapped by the SVM-based interpretation method were in agreement with the previously confirmed binding knowledge from X-ray co-crystal structures, indicating that this method is able to interpret the AC prediction model in a chemically intuitive manner.

Brain-wide quantification of the supraspinal connectome

The supraspinal connectome is essential for normal behavior and homeostasis and consists of a wide range of sensory, motor, and autonomic projections from brain to spinal cord. Extensive work spanning a century has largely mapped the cell bodies of origin, yet their broad distribution and complex spatial relationships present significant challenges to the dissemination and application of this knowledge. Fields that study disruptions of supraspinal projections, for example spinal cord injury, have focused mostly on a handful of major populations that carry motor commands, with only limited consideration of dozens more that provide autonomic or crucial motor modulation. More comprehensive information is essential to understand the functional consequences of different injuries and to better evaluate the efficacy of treatments. Using viral retrograde labeling, 3D imaging, and registration to standard neuro-anatomical atlases we now provide a platform to profile the entire supraspinal connectome by rapidly visualizing and quantifying tens of thousands of supraspinal neurons, each assigned to more than 60 identified regions and nuclei throughout the brains of adult mice. We then use this tool to compare the lumbar versus cervically-projecting connectomes, to profile brain-wide the sensitivity of supraspinal populations to graded spinal injuries, and to correlate locomotor recovery with connectome measurements. To share these insights in an intuitive manner, we present an interactive web-based resource, which aims to spur progress by broadening understanding and analyses of essential but understudied supraspinal populations.

External validation of prognostic models: what, why, how, when and where?

Prognostic models that aim to improve the prediction of clinical events, individualized treatment and decision-making are increasingly being developed and published. However, relatively few models are externally validated and validation by independent researchers is rare. External validation is necessary to determine a prediction model’s reproducibility and generalizability to new and different patients. Various methodological considerations are important when assessing or designing an external validation study. In this article, an overview is provided of these considerations, starting with what external validation is, what types of external validation can be distinguished and why such studies are a crucial step towards the clinical implementation of accurate prediction models. Statistical analyses and interpretation of external validation results are reviewed in an intuitive manner and considerations for selecting an appropriate existing prediction model and external validation population are discussed. This study enables clinicians and researchers to gain a deeper understanding of how to interpret model validation results and how to translate these results to their own patient population.

Gene Teller: an extensible Alexa Skill for gene-relevant databases

Summary Voice assistants have become increasingly embedded in consumer electronics, as the quality of their interaction improves and the cost of hardware continues to drop. Despite their ubiquity, these assistants remain underutilized as a means of accessing biological research data. Gene Teller is a voice assistant service based on the Alexa Skills Kit and Amazon Lambda functions that enables scientists to query for gene-centric information in an intuitive manner. It includes several features, such as synonym disambiguation and short-term memory, that enable a natural conversational interaction, and is extensible to include new resources. The underlying architecture, based on Simple Storage Service and Amazon Web Services Lambda, is cost efficient and scalable. Availability and implementation A publicly accessible version of Gene Teller is available as an Alexa Skill from the Amazon Marketplace at https://www.amazon.com/dp/B08BRD8SS8. The source code is freely available on GitHub at https://github.com/solinvicta/geneTeller.

Visualising Compliance of Composite Shell Mechanisms

In the design of isotropic compliant shell-based mechanisms a desired response of an end-effector is commonly achieved through careful selection of shell geometry and material. However, for applications such as the design of medical support devices the shell must conform to a highly constrained set of permissible geometries, limiting tailorability. One solution to this design challenge is to exploit anisotropic material behaviour. Advanced composite materials may be elastically tailored by varying the fibre orientation, but at the cost of increased design complexity. Herein we present an approach for capturing the effects of material anisotropy on compliant shell mechanisms by providing the designer with a method for visualising their response in a physically intuitive manner. We extend the mechanism characterisation technique of Lip-kin and Patterson [1] using eigen-decomposition, and visualise the compliance vectors for structures with material anisotropy. We characterise the behaviour of cantilevered “tape-spring” shell geometries with varying enclosed angles using nonlinear finite element analysis. For small enclosed angles we observe significant reorienting of the compliance vectors due to stiffness anisotropy; as the enclosed angle is increased, geometry dominates the response. However, in an intermediate region both geometric and stiffness effects interact, highlighting the potential richness of the design space.

Interactive Evolution of a Bicontinuous Structure

The authors describe an installation that was shown at the exhibition The Best of All Possible Worlds at Technische Sammlungen Dresden in 2016. The installation provided an interactive experience of the evolution of a complex bicontinuous structure of two immiscible fluids. The evolution is driven by the surface tension of the interface of the two fluids, which results in a continuous reduction of the interface area. The process is mathematically described by a partial differential equation, which is numerically solved. In each time step, the structure, visualized by the fluid-fluid interface, is rendered and shown on an elastic display. According to the deformation of the display, the corresponding time frame is projected. By pushing against the elastic display, one therefore can interact with the structure and evolve it in time in a playful and intuitive manner.

Research on the Ideological Politics Education of College Students from the Perspective of New Media

With the continuous development of the economy and society, new media technologies have been widely used in every industry and all walks of life. New media technologies are also applied in the ideological politics education of the Chinese college students. Therefore, this article makes a brief analysis of college education in the context of the new media technology. New media technology is applied to the ideological politics education of college students, which not only places the emphasis on the importance of ideological politics in an intuitive manner towards the students, but also creates a good social atmosphere and innovates the ideological and moral education model.

Lost in the socially extended mind: Genuine intersubjectivity and disturbed self-other demarcation in schizophrenia

Much of the characteristic symptomatology of schizophrenia can be understood as resulting from a pervasive sense of disembodiment. The body is experienced as an external machine that needs to be controlled with explicit intentional commands, which in turn leads to severe difficulties in interacting with the world in a fluid and intuitive manner. In consequence, there is a characteristic dissociality: Others become problems to be solved by intellectual effort and no longer present opportunities for spontaneous interpersonal alignment. This dissociality goes hand in hand with a progressive loss of the socially extended mind, which normally affords opportunities for co-regulation of cognitive and affective processes. However, at times people with schizophrenia report that they are confronted by the opposite of this dissociality, namely an unusual fluidity of the self-other boundary as expressed in experiences of ambiguous body boundaries, intrusions, and even merging with others. Here the person has not lost access to the socially extended mind but has instead become lost in it, possibly due to a weakened sense of self. We argue that this neglected aspect of schizophrenic social dysfunction can be usefully approached via the concept of genuine intersubjectivity: We normally participate in a shared experience with another person by implicitly co-regulating how our interaction unfolds. This co-regulation integrates our respective experience’s dynamical bases into one interpersonal process and gives the interaction an ambiguous second-person character. The upshot is that reports of abnormal self-other fluidity are not indicative of hallucinations without any basis in reality, but of a heightened sensitivity and vulnerability to processes of interpersonal alignment and mutual incorporation that form the normal basis of social life. We conclude by discussing implications of this view for both the science of consciousness as well as approaches to intervention and therapy.