A Tool for Assessing Sign Language Skills of Rehabilitation Counselors

Non

Of `Cocktail Parties' and Exoplanets

The characterisation of ever smaller and fainter extrasolar planets requires an intricate understanding of one's data and the analysis techniques used. Correcting the raw data at the 10^-4 level of accuracy in flux is one of the central challenges. This can be difficult for instruments that do not feature a calibration plan for such high precision measurements. Here, it is not always obvious how to de-correlate the data using auxiliary information of the instrument and it becomes paramount to know how well one can disentangle instrument systematics from one's data, given nothing but the data itself. We propose a non-parametric machine learning algorithm, based on the concept of independent component analysis, to de-convolve the systematic noise and all non-Gaussian signals from the desired astrophysical signal. Such a `blind' signal de-mixing is commonly known as the `Cocktail Party problem' in signal-processing. Given multiple simultaneous observations of the same exoplanetary eclipse, as in the case of spectrophotometry, we show that we can often disentangle systematic noise from the original light curve signal without the use of any complementary information of the instrument. In this paper, we explore these signal extraction techniques using simulated data and two data sets observed with the Hubble-NICMOS instrument. Another important application is the de-correlation of the exoplanetary signal from time-correlated stellar variability. Using data obtained by the Kepler mission we show that the desired signal can be de-convolved from the stellar noise using a single time series spanning several eclipse events. Such non-parametric techniques can provide important confirmations of the existent parametric corrections reported in the literature, and their associated results. Additionally they can substantially improve the precision exoplanetary light curve analysis in the future.Comment: ApJ accepte

Evaporation fractionation in a peatland drainage network affects stream water isotope composition

There is increasing interest in improving understanding of evaporation within a catchment for an enhanced representation of dominant processes in hydrological models. We used a dual‐isotope approach within a nested experimental design in a boreal catchment in the Scottish Highlands (Bruntland Burn) to quantify the spatiotemporal dynamics of evaporation fractionation in a peatland drainage network and its effect on stream water isotopes. We conducted spatially distributed water sampling within the saturated peatland under different wetness conditions. We used the lc‐excess—which describes the offset of a water sample from the local meteoric water line in the dual‐isotope space—to understand the development of kinetic fractionation during runoff in a peatland network. The evaporation fractionation signal correlated positively with the potential evapotranspiration and negatively with the discharge. The variability of the isotopic enrichment within the peatland drainage network was higher with higher potential evapotranspiration and lower with higher discharge. We found an increased evaporation fractionation toward the center of the peatland, while groundwater seepage from minerogenic soils influenced the isotopic signal at the edge of the peatland. The evaporation signal was imprinted on the stream water, as the discharge from a peatland dominated subcatchment showed a more intense deviation from the local meteoric water line than the discharge from the Bruntland Burn. The findings underline that evaporation fractionation within peatland drainage networks affects the isotopic signal of headwater catchments, which questions the common assumption in hydrological modeling that the isotopic composition of stream waters did not undergo fractionation processes

Public Goods and Public Policy: what is Public Good, and who and what Decides?

Higher education is usually seen as serving the public good, especially when funded directly by the state, and because of the ‘social benefit efficiency gains and potential equity effects on opportunity and reduced inequality’ (McMahon, 2009, p. 255). Calhoun (2006, p. 19) argues that public support for higher education is only given and maintained according to its capacity, capability, and willingness, to ‘educate citizens in general, to share knowledge, to distribute it as widely as possible in accord with publically articulated purposes’

The General Age of Leadership: Older-Looking Presidential Candidates Win Elections during War

As nation-state leaders age they increasingly engage in inter-state militarized disputes yet in industrialized societies a steady decrease in testosterone associated with aging is observed – which suggests a decrease in dominance behavior. The current paper points out that from modern societies to Old World monkeys increasing both in age and social status encourages dominant strategies to maintain acquired rank. Moreover, it is argued this consistency has shaped an implicit prototype causing followers to associate older age with dominance leadership. It is shown that (i) faces of older leaders are preferred during intergroup conflict and (ii) morphing U.S. Presidential candidates to appear older or younger has an overriding effect on actual election outcomes. This indicates that democratic voting can be systematically adjusted by activating innate biases. These findings appear to create a new line of research regarding the biology of leadership and contextual cues of age

Fluid consistencies. Material relationality in human engagements with water

Material things are not just passive recipients of human categories, meanings and values, nor mere subjects of human agency. Their particular characteristics and behaviours are formative of human–non-human relations. The common material properties of things, and the shared cognitive and phenomenological processes through which people interact with them, generate recurrent ideas and patterns of engagement in diverse cultural and historical contexts. Despite growing instrumentalism in human ‘management’ of the material world, and the emergence of new relational forms, these patterns persist

A sonic theory unsuitable for human consumption

The past decade has seen the proliferation of scholarly work on audio culture by philosophers, sociologists, ethnographers, musicologists, anthropologists, and others. There is now a range of histories and ethnographies on listening and on the soundscape, and a proliferation of epistemological, methodological, and cultural investigations of the sonic. At the same time, as John Kieffer notes, sound art is fast becoming “the new kid on the cultural block” (2010). Different writers have engineered different conceptual approaches for studying the sonic. These voices are symptomatic of a body of work that has developed as a way of reacting against the primacy of Cartesian reason, looking for ways of escaping the Western tendency to measure, calculate and represent everything. They offer strategies for defending and resurrecting the nullified senses, like hearing, which must no longer surrender to the tyranny of ocularcentrism. However, the belated recognition of sound as a valid academic object of study and art discipline, often risks fetishizing the sonic and repeating the same ideological separations between sound and image, body and mind. Moreover, refreshing as they may be, they are too often confined within a human-centred position and interested in predominantly addressing the phenomenal experience of sound. This article wishes to discuss alternative schemas daring to go beyond the audiophile anthropocentric angle. It mainly draws on Kodwo Eshun’s unconventional method of ‘sonic fiction’ (1998), in order to argue for the value of developing a sound theory that brings together speculative philosophy, science fiction, and experimental audio art. Ultimately, it attempts to explore how such ‘a sonic intervention into thought’ (Goodman, 2010) can drag us away from the sociopolitical and historical organisation of sound and toward the vicinity of a more ‘unreal state’, where the boundaries between fiction and theory are provisional and utterly permeable

Integrating Quantitative Knowledge into a Qualitative Gene Regulatory Network

Despite recent improvements in molecular techniques, biological knowledge remains incomplete. Any theorizing about living systems is therefore necessarily based on the use of heterogeneous and partial information. Much current research has focused successfully on the qualitative behaviors of macromolecular networks. Nonetheless, it is not capable of taking into account available quantitative information such as time-series protein concentration variations. The present work proposes a probabilistic modeling framework that integrates both kinds of information. Average case analysis methods are used in combination with Markov chains to link qualitative information about transcriptional regulations to quantitative information about protein concentrations. The approach is illustrated by modeling the carbon starvation response in Escherichia coli. It accurately predicts the quantitative time-series evolution of several protein concentrations using only knowledge of discrete gene interactions and a small number of quantitative observations on a single protein concentration. From this, the modeling technique also derives a ranking of interactions with respect to their importance during the experiment considered. Such a classification is confirmed by the literature. Therefore, our method is principally novel in that it allows (i) a hybrid model that integrates both qualitative discrete model and quantities to be built, even using a small amount of quantitative information, (ii) new quantitative predictions to be derived, (iii) the robustness and relevance of interactions with respect to phenotypic criteria to be precisely quantified, and (iv) the key features of the model to be extracted that can be used as a guidance to design future experiments