Search

Introduction: Historic data, often in analog format, is a valuable resource for assessing effects of directional changes in climate and climatic variability. However, historic data can be difficult to locate, interpret, and reformat into a useful state.Methods: Teams of scientists, librarians, archivists, and data managers at four US institutions have undertaken various projects to gather, describe, and in some cases, transform historic data. They have also surveyed researchers who either possess historic data or have used it in their work.Results: Historic data projects involved locating data, writing data descriptions, and connecting with individuals who had knowledge about the data’s collection. The surveys and interviews found that researchers valued historic data and were worried that it was at risk of loss. They noted the lack of best practices.Discussion: Each project attempting to rescue or enhance access to historic data has a unique path but being guided by FAIR principles should be at the core whether or not the end result is machine-readable data. Working with a team incorporating librarians, archivists, and data managers can aid individual researchers’ in producing accessible, and reusable datasets. There is much work to be done in raising awareness about the value of historic data but motivating factors for doing so include its usefulness in environmental research and other disciplines and its risk of loss as researchers retire and are unsure of how to save historic data, both in analog and electronic formats.

Copyright of Quintessenz der Zahntechnik is the property of Quintessenz Verlags GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article focuses on goal of Emblematica Online to present emblem books in an innovative digital environment and develop a portal for a key genre of Renaissance texts and images. Topics include examines to accomplish this goal it engaged in a three-part initiative and the digitization of entire emblem books from the collections at Illinois and the HAB.

Copyright of Leviathan: Zeitschrift für Sozialwissenschaft (Nomos Verlagsgesellschaft mbH & Co. KG) is the property of Nomos Verlagsgesellschaft mbH & Co. KG and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For years scientists in fields from climate change to biodiversity to hydrology have used older data to address contemporary issues. Since the 1960s researchers, recognizing the value of this data, have expressed concern about its management and potential for loss. No widespread solutions have emerged to address the myriad issues around its storage, access, and findability. This paper summarizes observations and concerns of researchers in various disciplines who have articulated problems associated with analog data and highlights examples of projects that have used historical data. The authors also examined selected papers to discover how researchers located historical data and how they used it. While many researchers are not producing huge amounts of analog data today, there are still large volumes of it that are at risk. To address this concern, the authors recommend the development of best practices for managing historic data. This will take communication across disciplines and the involvement of researchers, departments, institutions, and associations in the process.

Digital and analog : What do these terms mean today? The use and meaning of such terms change through time. The analog , in particular, seems to go through various phases of popularity and disuse, its appeal pegged most frequently to nostalgic longings for nontechnical or romantic modes of art and culture. The definition of the digital vacillates as well, its precise definition often eclipsed by a kind of fever-pitched industrial bonanza around the latest technologies and the latest commercial ventures. One common response to the question of the digital is to make reference to things like Twitter, Playstation, or computers in general. Here one might be correct, but only coincidentally, for the basic order of digitality (the digitality of digitality) has not yet been demonstrated through mere denotation. And the second question—the question of the analog—is harder still, with responses often also consisting of mere denotations of things: sound waves, the phonograph needle, magnetic tape, a sundial. At least denotation itself is analogical. This article will aim to define the analog explicitly and argue, perhaps counterintuitively, that the golden age of analog thinking was not a few decades past, prior to the wide-spread adoption of the computer. In fact, the fields of structuralism and poststructuralism that emerged in the middle to late twentieth century, concurrent with the deployment of the digital computer, were characteristically digital, what with their focus on the symbolic order and logical economies. If anything, the golden age of analog is happening today, all around us, as evidenced by the proliferation of characteristically analog concerns: sensation, materiality, experience, affect, ethics, and aesthetics. [ABSTRACT FROM AUTHOR]

Copyright of Der Moderne Staat is the property of Verlag Barbara Budrich GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Older data in paper or analog format (e.g., field/lab notebooks, photos, maps) held in labs, offices, and archives across research institutions are an often overlooked resource for potential reuse in new scientific studies. However, there are few mechanisms to help researchers find existing analog data in order to reuse it. Yet, in the literature, reuse of historical data is particularly important in studies of biodiversity and climate change. We surveyed life science researchers at the University of Minnesota to understand and explore current and potential future use of historical data, attitudes around sharing and reusing data, and preservation of the data. Large amounts of historical data existed on our campus. Most researchers had reused or shared it, and many continued to add to their data sets. Some data had been scanned, over half of researchers have re-keyed some of their data into machine-readable format, and nearly all that were converted to a digital format were stored on unstable platforms and legacy formats. Researchers also expressed concerns about long-term preservation plans, or who to contact for assistance in planning for the future of the data, since much of these data are at risk for loss. Currently produced digital data sets are subject to guidelines and requirements developed at a national level. Solutions for historical analog data could benefit from a similar high-level treatment, and it will take experts from various fields to lead this effort. Given libraries’ expertise in data management and preservation, librarians are in a position to collaborate on devising cross-disciplinary solutions.

Objective: The objective of this paper is to illustrate the importance and complexities of working with historical analog data that exists on university campuses. Using a case study of fruit breeding data, we highlight issues and opportunities for librarians to help preserve and increase access to potentially valuable data sets. Methods: We worked in conjunction with researchers to inventory, describe, and increase access to a large, 100-year-old data set of analog fruit breeding data. This involved creating a spreadsheet to capture metadata about each data set, identifying data sets at risk for loss, and digitizing select items for deposit in our institutional repository. Results/Discussion: We illustrate that large amounts of data exist within biological and agricultural sciences departments and labs, and how past practices of data collection, record keeping, storage, and management have hindered data reuse. We demonstrate that librarians have a role in collaborating with researchers and providing direction in how to preserve analog data and make it available for reuse. This work may provide guidance for other science librarians pursing similar projects. Conclusions: This case study demonstrates how science librarians can build or strengthen their role in managing and providing access to analog data by combining their data management skills with researchers’ needs to recover and reuse data. The substance of this article is based upon a panel presentation at RDAP Summit 2019.

We analyzed several QRS detection algorithms in order to build a quality industrial beat detector, intended for a small, wearable, one channel electrocardiogram sensor with a sampling rate of 125 Hz, and analog-to-digital conversion of 10 bits. The research was a lengthy process that included building several hundred rules to cope with the QRS detection problems and finding an optimal threshold value for several parameters. We obtained 99.90% QRS sensitivity and 99.90% QRS positive predictive rate measured on the first channel of rescaled and resampled MIT-BIH Arrhythmia ECG database. Even more so, our solution works better than the algorithms for the original signals with a sampling rate of 360 Hz and analog-to-digital conversion of 11 bits. [ABSTRACT FROM AUTHOR]

In this article, the authors present, on the basis of the scientific arguments obtained through laboratory experiments, some pertinent aspects regarding: the evaluation and preservation of the digitized collections; presentation of conditions for the digitization of valuable library documents; presentation of ante- and post-digitization measures for library collections that are subject to digitization. This scientific approach is designed to preserve digitized libraries, collections and documents, being an essential scientific activity that takes place in parallel with the conservation of information from digitized products. [ABSTRACT FROM AUTHOR]

Poisson distributions have the characteristic of equality between their variance and mean values. By constructing a calculation model of the temporal variance and spatial variance, the relationship between the variance and mean values of lidar analog data and photon-counting data can be analyzed. The calculation results show that the photon-counting data from far field have the distribution property of equality between the variances and the corresponding mean values, while the analog data for the whole probing traces do not. In this paper, by analyzing the distribution properties of the spatial variance and temporal variance of lidar data, the dead time of photon-counting data was estimated, and the threshold voltage of the photon-counting system and the linear working range of photomultiplier tube were evaluated. The results show that the linear working range of the high voltage for the photomultiplier tube in the ultraviolet elastic scanning lidar is between −500 V and −1000 V, and the dead time and threshold voltage of the photon-counting system in the Licel transient recorder are 3.488 ns and 1.20 mV, respectively. Meanwhile, a novel gluing method between analog data and photon-counting data is presented, based on the calculation results of the variance distribution of lidar data. The linear transfer coefficients were determined by minimizing the differences between the variance and mean of the transformed photon-counting data in the near filed with high signal to noise ratio. The glued data were distributed to express the atmospheric conditions uniformly. [ABSTRACT FROM AUTHOR]

Motivation Integration of data from different modalities is a necessary step for multi-scale data analysis in many fields, including biomedical research and systems biology. Directed graphical models offer an attractive tool for this problem because they can represent both the complex, multivariate probability distributions and the causal pathways influencing the system. Graphical models learned from biomedical data can be used for classification, biomarker selection and functional analysis, while revealing the underlying network structure and thus allowing for arbitrary likelihood queries over the data. Results In this paper, we present and test new methods for finding directed graphs over mixed data types (continuous and discrete variables). We used this new algorithm, CausalMGM, to identify variables directly linked to disease diagnosis and progression in various multi-modal datasets, including clinical datasets from chronic obstructive pulmonary disease (COPD). COPD is the third leading cause of death and a major cause of disability and thus determining the factors that cause longitudinal lung function decline is very important. Applied on a COPD dataset, mixed graphical models were able to confirm and extend previously described causal effects and provide new insights on the factors that potentially affect the longitudinal lung function decline of COPD patients. Availability and implementation The CausalMGM package is available on http://www.causalmgm.org. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Due to its simplicity, efficiency and efficacy, naive Bayes (NB) continues to be one of the top 10 data mining algorithms. A mass of improved approaches to NB have been proposed to weaken its conditional independence assumption. However, there has been little work, up to the present, on instance weighting filter approaches to NB. In this paper, we propose a simple, efficient, and effective instance weighting filter approach to NB. We call it attribute (feature) value frequency-based instance weighting and denote the resulting improved model as attribute value frequency weighted naive Bayes (AVFWNB). In AVFWNB, the weight of each training instance is defined as the inner product of its attribute value frequency vector and the attribute value number vector. The experimental results on 36 widely used classification problems show that AVFWNB significantly outperforms NB, yet at the same time maintains the computational simplicity that characterizes NB. [ABSTRACT FROM AUTHOR]

This article sets out to explore the phenomenon of willing digital disconnect by reconsidering and reworking some of the central ideas that currently fall under the umbrella of technological non-use. The presupposition of binary divisions between the dichotomies 'users'–'non-users' and 'analogue'–'digital' is put into question as the article explores the taking up of predigital technologies and the explicit and implicit disengagement from contemporary digital technologies. In short, this article asks: What does the contemporary revival of analogue technologies reveal about the social and material processes that constitute 'use', and what are the implications for the conceptual division of the terms analogue and digital? To answer these questions, the article draws on assemblage theory to describe the material and expressive performativity of social structure – that is, how individuals interact with technology. Empirical evidence comes from three illustrative cases where predigital technologies have replaced an existing digital alternative. Results emphasize the importance of understanding the material and expressive reconfigurations that underline technological use in a post-digital society in order to move beyond binary concepts such as analogue/digital or use/non-use as well as concepts such as the digital divide. [ABSTRACT FROM AUTHOR]

Serial link receivers with high-speed analog-to-digital converters (ADCs) can utilize powerful digital-domain equalizers and support multilevel modulation schemes. This paper presents a hybrid statistical modeling framework for ADC-based serial link receivers. The framework builds upon the existing statistical modeling techniques for mixed-signal receivers and adds the support of ADC quantization noise, radix errors [integral nonlinearity and differential nonlinearity (INL/DNL)], and time-interleaving mismatches. A rapid purely statistical simulation mode is utilized to model systems with small front-end nonlinearity and ADC INL/DNL. To include ADC INL/DNL, a hybrid approach is presented with an initial short transient simulation. The presented modeling framework is used to explore the effectiveness of embedding an analog feed-forward equalizer (FFE) in the ADC of a 10-Gb/s receiver. Measurement results of a 10-Gb/s ADC-based receiver prototype with a three-tap embedded FFE in the ADC and a digital four-tap FFE and three-tap decision feedback equalizer are presented to validate the presented framework. [ABSTRACT FROM AUTHOR]

An analog of extended real line, n -sphere and n -disc in the setting of digital topology has been provided and the fundamental group of the digital circle has been computed which comes out to be the additive group ℤ of integers. [ABSTRACT FROM AUTHOR]

We extend the lifetime of Flash memory in embedded processors by exploiting the fact that data from sensors is inherently analog. Prior work in the computer architecture community has assumed that all data is digital and has overlooked the opportunities available when working with analog data, such as the data recorded by sensors. In this paper, we introduce redundancy into the quantization of sensor data in order to provide several alternative representations. Notably, we tradeoff distortion—the difference between the sensed analog value and the digital quantization of that value—to improve lifetime. Our simulations show that when combining rate, distortion, and lifetime tradeoffs we can extend Flash lifetime at a far smaller capacity cost compared to prior work. More specifically the simulated system shows that it is possible to achieve up to $2.75 \times$ less capacity cost compared to redundant Flash memory and $1.29 \times$ less capacity cost compared to the state of the art coding schemes. [ABSTRACT FROM AUTHOR]

Hydrodynamic quantum analogs is a nascent field initiated in 2005 by the discovery of a hydrodynamic pilot-wave system [Y. Couder, S. Protière, E. Fort, and A. Boudaoud, Nature 437, 208 (2005)]. The system consists of a millimetric droplet self-propeling along the surface of a vibrating bath through a resonant interaction with its own wave field [J. W. M. Bush, Annu. Rev. Fluid Mech. 47, 269–292 (2015)]. There are three critical ingredients for the quantum like-behavior. The first is "path memory" [A. Eddi, E. Sultan, J. Moukhtar, E. Fort, M. Rossi, and Y. Couder, J. Fluid Mech. 675, 433–463 (2011)], which renders the system non-Markovian: the instantaneous wave force acting on the droplet depends explicitly on its past. The second is the resonance condition between droplet and wave that ensures a highly structured monochromatic pilot wave field that imposes an effective potential on the walking droplet, resulting in preferred, quantized states. The third ingredient is chaos, which in several systems is characterized by unpredictable switching between unstable periodic orbits. This focus issue is devoted to recent studies of and relating to pilot-wave hydrodynamics, a field that attempts to answer the following simple but provocative question: Might deterministic chaotic pilot-wave dynamics underlie quantum statistics? [ABSTRACT FROM AUTHOR]

The article focuses on a study which aims at introducing unified approach to topic modeling and community detection, showing how ideas and methods can be transported between classes of problems. It mentions that accelerating rate of digitization of information rise importance of problems that require automatic organization and classification of text. It presents information on comparison between latent Dirichlet allocation and hierarchical stochastic block model in real and artificial data.

Analog data acquisition systems used for diagnostics and control of large physics experiments require high sampling rates and real-time processing functionalities. The use of field-programmable gate array (FPGA)-based devices allows efficient implementation of such solutions. Currently, large scientific facilities are using middleware platforms to simplify system integration. Experimental physics and industrial control system (EPICS) is one of the most popular middleware for this purpose. Moreover, heterogeneous hardware integration in these systems is a very complex task, and different approaches attempting to standardize this integration are under development and use. One of these approaches is areaDetector (AD), which involves an open source module for EPICS that is primarily used for image acquisition applications. AD simplifies the integration of heterogeneous image acquisition systems, providing a common interface between the hardware and EPICS. The AD community has already developed support for different cameras and communication protocols as well as different processing modules, including conversion to the most commonly used image formats. AD has also been used in some analog signal acquisition systems; for example, quadEM is typically used for a photodiode-based X-ray beam, but there are no implementations based on FPGA, such as FlexRIO technology. This paper presents the integration of acquisition and processing solution in a PXIe platform using the FlexRIO technology using a model that solves the acquisition and signal processing in an FPGA and a software layer implemented in C++ with the IRIO library (open source solution for RIO devices in the Linux environment). [ABSTRACT FROM PUBLISHER]

The ever increasing geophysical data streams pouring from earth observation satellite missions and numerical simulations along with the development of dedicated big data infrastructure advocate for truly exploiting the potential of these datasets, through novel data-driven strategies, to deliver enhanced satellite-derived gapfilled geophysical products from partial satellite observations. We here demonstrate the relevance of the analog data assimilation (AnDA) for an application to the reconstruction of cloud-free level-4 gridded Sea Surface Temperature (SST).We propose novel AnDA models which exploit auxiliary variables such as sea surface currents and significantly reduce the computational complexity of AnDA. Numerical experiments benchmark the proposed models with respect to state-of-the-art interpolation techniques such as optimal interpolation and EOF-based schemes. We report relative improvement up to 40%/50% in terms of RMSE and also show a good parallelization performance, which supports the feasibility of an upscaling on a global scale. [ABSTRACT FROM AUTHOR]

Analog-to-digital converter (ADC) is one of the crucial blocks for the software defined radio applications that require higher resolution, and less power consumption; accordingly, time-based analog to digital converters (T-ADC) are introduced to make use of the technology scaling, achieving low-power consumption and high-speed compared to traditional ADCs. T-ADC is composed of two parts voltage-to-time converter and time-to-digital converter; the proposed design is based on converting the voltage to frequency instead of time using the voltage-to-frequency converter. The new methodology increases the circuit sensitivity, and reduces the linearity error. Furthermore, the new methodology enhances the maximum input frequency, effective number of bits (ENOB), and signal to noise and distortion ratio (SNDR). In the proposed study, the maximum input frequency increases up to 74.8 MHz with linearity error of 3%, sensitivity of 43.24 GHz/V, ENOB of 2.79 bits and SNDR of 18.54 dB using TSMC 65 nm CMOS technology with a supply voltage of 1.2 V. [ABSTRACT FROM AUTHOR]

This study investigates the impact of digitalization on the photojournalistic profession and its transformation during the last two decades. The development of digital technology and the Internet by the end of the 20th century has brought several questions to the field of photojournalism and impacted the entire process of photojournalistic material production. Taking the example of the Czech Republic, we examine how photojournalists and photo editors perceive the changes brought on by the adoption of digital technology and how news routines, photojournalistic practices, image content, and professional identity have been reshaped. We conducted in-depth interviews and surveys with 48 photojournalists and photo editors from different Czech news media and magazines. The findings show how Czech photojournalists evaluate the state of their profession after digitalization. We also discuss a new way of image taking, so-called ‘cinematic shooting’, the ‘myth of acceleration’, and new responsibilities laid upon visual news professionals. [ABSTRACT FROM AUTHOR]

Poisson distributions have the characteristic of equality between their variance and mean values. By constructing a calculation model of the temporal variance and spatial variance, the relationship between the variance and mean values of lidar analog data and photon-counting data can be analyzed. The calculation results show that the photon-counting data from far field have the distribution property of equality between the variances and the corresponding mean values, while the analog data for the whole probing traces do not. In this paper, by analyzing the distribution properties of the spatial variance and temporal variance of lidar data, the dead time of photon-counting data was estimated, and the threshold voltage of the photon-counting system and the linear working range of photomultiplier tube were evaluated. The results show that the linear working range of the high voltage for the photomultiplier tube in the ultraviolet elastic scanning lidar is between −500 V and −1000 V, and the dead time and threshold voltage of the photon-counting system in the Licel transient recorder are 3.488 ns and 1.20 mV, respectively. Meanwhile, a novel gluing method between analog data and photon-counting data is presented, based on the calculation results of the variance distribution of lidar data. The linear transfer coefficients were determined by minimizing the differences between the variance and mean of the transformed photon-counting data in the near filed with high signal to noise ratio. The glued data were distributed to express the atmospheric conditions uniformly.

In 1999, a big project for the documentation of the Great Omayyad mosque in Aleppo/Syria under UNESCO was conducted. By end of the last century, still analogue cameras were still being used, like the UMK Zeiss, RolleiMetric System. Digital cameras and digital automatic data processing were just starting to be on the rise and laser scanning was not relevant. In this situation, photogrammetrical measurement used stereo technology for complicated situations, and object and single-image technology for creating photoplans. Hundreds of photogrammetric images were taken. However, data processing was carried out on digital stereo plotters or workstations; it was necessary that all analogue photos were converted to digital form using a photogrammetric scanner. The outputs were adequate to the end of the last century. Nowadays, after 19 years, the photogrammetric materials still exist, but the technology and processing is completely different. Our original measurement is historical and nowadays quite obsolete. So we was it decided to explore the possibilities of the new processing of historical materials. Why? The reason is that in the last few years there has been civil war in Syria and the above mentioned monument was severely damaged. The existing historical materials therefore provide a unique opportunity for possible future reconstruction. This paper refers to the completion of existing materials, their evaluation and possibilities of new processing with today's technologies. [ABSTRACT FROM AUTHOR]

This paper presents a novel conversion scheme for time signals, especially suited for wireless communication applications. The digital/analog data representation paradigm is discussed and critical aspects are determined. It involves digital information coding, two-way digital/analog conversion and their respective efficiency. The proposed conversion scheme relies on a slight oversampling ratio (OSR), combined with a differentiating coding and a $$1^\mathrm{st}$$ order noise shaping loop. It achieves a resolution increased by 2.5 effective number of bits per doubling of the OSR. The resulting conversion efficiency combined with a moderate digital coding complexity leads to a substantial improvement of the energy cost of conversion compared to conventional Nyquist rate architectures. The efficiency gain is even higher for converters limited by thermal noise. It can reach a ten fold improvement for OSR around 10, which makes this architecture a good option for the handling of radio frequency signals. [ABSTRACT FROM AUTHOR]

In this paper, I defend a grammatical account of scalar implicatures. In particular, I submit new evidence in favor of the contextual blindness principle, assumed in recent versions of the grammatical account. I argue that mismatching scalar implicatures can be generated even when the restrictor of the universal quantifier in a universal alternative is contextually known to be empty. The crucial evidence consists of a hitherto unnoticed oddness asymmetry between formally analogous existential sentences with reference failure NPs. I conclude that the generation of mismatching scalar implicatures does not require contextual access. [ABSTRACT FROM AUTHOR]

This article presents a new example intended to showcase limitations of computer simulations in the study of random processes with local interaction. For this purpose, we examine a new version of the well-known Stavskaya process, which is a discretetime analog of the well-known contact processes. Like the bulk of random processes studied till now, the Stavskaya process is constant-length, that is, its components do not appear or disappear in the course of its functioning. The process, which we study here and call Variable Stavskaya, VS, is similar to Stavskaya; it is discrete-time; its states are bi-infinite sequences, whose terms take only two values (denoted here as "minus" and "plus"), and the measure concentrated in the configuration "all pluses" is invariant. However, it is a variable length, which means that its components, also called particles, may appear and disappear under its action. The operator VS is a composition of the following two operators. The first operator, called "birth," depends on a real parameter β; it creates a new component in the state "plus" between every two neighboring components with probability β independently from what happens at other places. The second operator, called "murder," depends on a real parameterα and acts in the following way: whenever a plus is a left neighbor of a minus, this plus disappears (as if murdered by that minus which is its right neighbor) with probabilityα independently from what happens to other particles. We prove for anyα < 1 and any β > 0 and any initial measure μ that the sequence μ(VS)t (the result of t iterative applications of VS to μ) tends to the measure δ⊕ (concentrated in "all pluses") as t→∞. Such a behavior is often called ergodic. However, the Monte Carlo simulations and meanfield approximations, which we performed, behaved as if μ(VS)t tended to δ⊕ much slower for someα, β, μ than for some others. Based on these numerical results, we conjecture that VS has phases, but not in that simple sense as the classical Stavskaya process. Published [ABSTRACT FROM AUTHOR]

The article discusses listeners in relation to the the Dane-zaa First Nations tribe-related soundscape recordings created by audio engineer Howard Broomfield during the twentieth century, and it mentions the World Soundscape Project and nostalgia. The authors' experiences with Broomfield are addressed, along with Canada's Doig River Reserve and the editing of analog and digital audio documents. "The Listener" collection of audio recordings by Bloomfield is assessed.

Engaging a general audience with scientific research can be effectively assisted by visualization. Visualization art has the potential to engage users with data in a way that gives the audience deep and reflective insights into information. This article reviews relevant literature on different methods and practices of visualization from the analytical to artistic. The literature shows that beautiful presentations of data, in a clarified context, can help an audience with little understanding of the data domain gain deep, meaningful insights into information. [ABSTRACT FROM AUTHOR]

Active thermal tracer testing is a technique to get information about the flow and transport properties of an aquifer. In this paper we propose an innovative methodology using active thermal tracers in a tomographic setup to reconstruct cross-well hydraulic conductivity profiles. This is facilitated by assuming that the propagation of the injected thermal tracer is mainly controlled by advection. To reduce the effects of density and viscosity changes and thermal diffusion, early-time diagnostics are used and specific travel times of the tracer breakthrough curves are extracted. These travel times are inverted with an eikonal solver using the staggered grid method to reduce constraints from the pre-defined grid geometry and to improve the resolution. Finally, non-reliable pixels are removed from the derived hydraulic conductivity tomograms. The method is applied to successfully reconstruct cross-well profiles as well as a 3-D block of a high-resolution fluvio-aeolian aquifer analog data set. Sensitivity analysis reveals a negligible role of the injection temperature, but more attention has to be drawn to other technical parameters such as the injection rate. This is investigated in more detail through model-based testing using diverse hydraulic and thermal conditions in order to delineate the feasible range of applications for the new tomographic approach. [ABSTRACT FROM AUTHOR]

In this paper, we introduce Schwartz operators as a non-commutative analog of Schwartz functions and provide a detailed discussion of their properties. We equip them, in particular, with a number of different (but equivalent) families of seminorms which turns the space of Schwartz operators into a Fréchet space. The study of the topological dual leads to non-commutative tempered distributions which are discussed in detail as well. We show, in particular, that the latter can be identified with a certain class of quadratic forms, therefore making operations like products with bounded (and also some unbounded) operators and quantum harmonic analysis available to objects which are otherwise too singular for being a Hilbert space operator. Finally, we show how the new methods can be applied by studying operator moment problems and convergence properties of fluctuation operators. [ABSTRACT FROM AUTHOR]

The article discusses the process of archiving and digitizing analog tape loops of American sonic composer William Basinski wherein he suggests that the music was alive when it was on magnetic tape. It outlines the relationship between individuals and the social actions or cultural performance they embody that is both first-timeness and repetition. The restoration of behavior theory that anticipates the interaction between analog and digital media is also explored.

In massive data analysis, data usually come in streams. In the last years, several studies have investigated novelty detection in these data streams. Different approaches have been proposed and validated in many application domains. A review of the main aspects of these studies can provide useful information to improve the performance of existing approaches, allow their adaptation to new applications and help to identify new important issues to be addresses in future studies. This article presents and analyses different aspects of novelty detection in data streams, like the offline and online phases, the number of classes considered at each phase, the use of ensemble versus a single classifier, supervised and unsupervised approaches for the learning task, information used for decision model update, forgetting mechanisms for outdated concepts, concept drift treatment, how to distinguish noise and outliers from novelty concepts, classification strategies for data with unknown label, and how to deal with recurring classes. This article also describes several applications of novelty detection in data streams investigated in the literature and discuss important challenges and future research directions. [ABSTRACT FROM AUTHOR]

A new method is proposed to produce three-dimensional facies models of braided-river aquifers based on analog data. The algorithm consists of two steps. The first step involves building the main geological units. The production of the principal inner structures of the aquifer is achieved by stacking Multiple-Point-Statistics simulations of successive topographies, thus mimicking the major successive flooding events responsible for the erosion and deposition of sediments. The second step of the algorithm consists of generating fine scale heterogeneity within the main geological units. These smaller-scale structures are generated by mimicking the trough-filling process occurring in braided rivers; the imitation of the physical processes relies on the local topography and on a local approximation of the flow. This produces realistic cross-stratified sediments, comparable to what can be observed in outcrops. The three main input parameters of the algorithm offer control over the proportions, the continuity and the dimensions of the deposits. Calibration of these parameters does not require invasive field measurements and can rely partly on analog data. [ABSTRACT FROM AUTHOR]

The article focuses on the transformation of intelligence activity and cover action in a digital environment. Topics discussed include whether the Intelligence Community (IC) can synthesize cover identities resistant to emerging technologies, traditional counterintelligence functions in the analog era, and examples of weak digital records resulting to U.S. cover identities having been divulged.