Miracle-dz/UniFAR-FTUs huggingface dataset:
THE LONG-LIVED DISKS IN THE η CHAMAELEONTIS CLUSTER

We present Infrared Spectrograph spectra and revised Multiband Imaging Photometer photometry for the 18 members of the η Chamaeleontis cluster. Aged 8 Myr, the η Cha cluster is one of the few nearby regions within the 5–10 Myr age range, during which the disk fraction decreases dramatically and giant planet formation must come to an end. For the 15 low-mass members, we measure a disk fraction ∼50%, high for their 8 Myr age, and four of the eight disks lack near-IR excesses, consistent with the empirical definition of “transition” disks. Most of the disks are comparable to geometrically flat disks. The comparison with regions of different ages suggests that at least some of the “transition” disks may represent the normal type of disk around low-mass stars. Therefore, their flattened structure and inner holes may be related to other factors (initial masses of the disk and the star, environment, binarity), rather than to pure time evolution. We analyze the silicate dust in the disk atmosphere, finding moderate crystalline fractions (∼10%–30%) and typical grain sizes ∼1–3 μm, without any characteristic trend in the composition. These results are common to other regions of different ages, suggesting that the initial grain processing occurs very early in the disk lifetime (<1 Myr). Large grain sizes in the disk atmosphere cannot be used as a proxy for age, but are likely related to higher disk turbulence. The dust mineralogy varies between the 8–12 μm and the 20–30 μm features, suggesting high temperature dust processing and little radial mixing. Finally, the analysis of IR and optical data on the B9 star η Cha reveals that it is probably surrounded by a young debris disk with a large inner hole, instead of being a classical Be star.
The Impact of CPOE Medication Systems’ Design Aspects on Usability, Workflow and Medication Orders

Summary Objectives: To examine the impact of design aspects of computerized physician order entry (CPOE) systems for medication ordering on usability, physicians’ workflow and on medication orders. Methods: We systematically searched PubMed, EMBASE and Ovid MEDLINE for articles published from 1986 to 2007. We also evaluated reference lists of reviews and relevant articles captured by our search strategy, and the web-based inventory of evaluation studies in medical informatics 1982–2005. Data about design aspects were extracted from the relevant articles. Identified design aspects were categorized in groups derived from principles for computer screen and dialogue design and user guidance from the International Standard Organization, and if CPOE-specific, from the collected data. Results: A total of 19 papers met our inclusion criteria. Sixteen studies used qualitative evaluation methods and the rest both qualitative and quantitative. In total 42 CPOE design aspects were identified and categorized in seven groups: 1) documentation and data entry components, 2) alerting, 3) visual clues and icons, 4) drop-down lists and menus, 5) safeguards, 6) screen displays, and 7) auxiliary functions. Conclusions: Beside the range of functionalities provided by a CPOE system, their subtle design is important to increase physicians’ adoption and to reduce medication errors. This requires continuous evaluations to investigate whether interfaces of CPOE systems follow normal flow of actions in the ordering process and if they are cognitively easy to understand and use for physicians. This paper provides general recommendations for CPOE (re)design based on the characteristics of CPOE design aspects found.
How Athletes Frame Themselves on Social Media: An Analysis of Twitter Profiles

Media are often criticized for their portrayal of women's sports and female athletes. But athletes now have direct access to their public and potential fans through social media, which give them a chance to frame themselves the way they wish. This study is a quantitative content analysis of athletes' Twitter profiles. Four elements of athletes' profiles were coded and analyzed: profile, cover, and background pictures, and biographies.Findings show that, through Twitter, female athletes simultaneously preserve and counter the traditional gender roles and masculine hegemony in sports found in traditional media. Indeed, they overwhelmingly present themselves as athletes through their biographies by stressing their athletic careers in them. However, visually speaking, women tend to highlight their femininity by favoring professional photographs rather than pictures in a sports context (either action shots or passive ones), while the opposite is true for male athletes.
The impact of timing yield improvement under process variation on flip-flops soft error rate

In deeply pipelined synchronous systems, any violation of the timing constraints of the flip-flops can cause the overall system to malfunction. Due to CMOS technology scaling, increased process variations result in a large delay variability causing unacceptable loss in the timing yield. Several variation tolerant techniques are introduced to mitigate this variability challenge by improving the timing yield. In the mean time, devices are getting smaller, faster, and operating at lower supply voltages. These reduced capacitances and power supply voltages combined with the increased chip density to perform more functionality increase the soft errors susceptibility and make it one of the essential design challenges. Moreover, there are many flip-flops topologies that vary in their relative performance and power consumption which make the selection decision very difficult to flip-flops designers especially under variability and soft errors challenges. Therefore, a comparative analysis between these different flip-flops topologies considering these scaling challenges is beneficial to guide the flip-flops designers in selecting the best topology for their specific application constraints. This paper presents a comparative analysis of the timing yield improvement impact on flip-flops soft error rate by using the STMicroelectronics 65-nm CMOS technology. The analyzed flip-flops are compared for power and power-delay product (PDP) overheads to achieve this timing yield improvement. Then, they are compared for the soft error susceptibility. Finally, it is shown that the timing yield improvement improves the flip-flops soft error immunity significantly.
Development of a Generic Microfluidic Device for Simultaneous Detection of Antibodies and Nucleic Acids in Oral Fluids

A prototype dual-path microfluidic device (Rheonix CARD) capable of performing simultaneously screening (antigen or antibody) and confirmatory (nucleic acid) detection of pathogens is described. The device fully integrates sample processing, antigen or antibody detection, and nucleic acid amplification and detection, demonstrating rapid and inexpensive “sample-to-result” diagnosis with performance comparable to benchtop analysis. For the chip design, a modular approach was followed allowing the optimization of individual steps in the sample processing process. This modular design provides great versatility accommodating different disease targets independently of the production method. In the detection module, a lateral flow (LF) protocol utilizing upconverting phosphor (UCP) reporters was employed. The nucleic acid (NA) module incorporates a generic microtube containing dry reagents. Lateral flow strips and PCR primers determine the target or disease that is diagnosed. Diagnosis of HIV infection was used as a model to investigate the simultaneous detection of both human antibodies against the virus and viral RNA. The serological result is available in less than 30 min, and the confirmation by RNA amplification takes another 60 min. This approach combines a core serological portable diagnostic with a nucleic acid-based confirmatory test.
Compression-Domain Text Indexing and Retrieval

Keyword-based text retrieval engines have been and will continue to be essential to text-based information access systems because they serve as the basic building blocks to high-level text analysis systems. Traditionally, text compression and text retrieval are teated as independent problems. Text les are compressed and indexed separately. To answer a keyword-based query, text les are rst uncompressed, and then searched sequentially or via an inverted index. This paper describes the design, implementation and evaluation of a novel integrated text compression and indexing scheme called ITCI, which combines the dictionary data structures for compression and indexing, and allows direct search through compressed text. The performance results show that ITCI's compression eeciency is within 7% to 17% of GZIP, which is among the best lossless data compression algorithms, The sum of the compressed text and the inverted index is only between 55% to 76% of the original text size, while the search performance is comparable to full inverted indexing with dynamic index cache.
Temporal Integration Windows for Naturalistic Visual Sequences

There is increasing evidence that the brain possesses mechanisms to integrate incoming sensory information as it unfolds over time-periods of 2–3 seconds. The ubiquity of this mechanism across modalities, tasks, perception and production has led to the proposal that it may underlie our experience of the subjective present. A critical test of this claim is that this phenomenon should be apparent in naturalistic visual experiences. We tested this using movie-clips as a surrogate for our day-to-day experience, temporally scrambling them to require (re-) integration within and beyond the hypothesized 2–3 second interval. Two independent experiments demonstrate a step-wise increase in the difficulty to follow stimuli at the hypothesized 2–3 second scrambling condition. Moreover, only this difference could not be accounted for by low-level visual properties. This provides the first evidence that this 2–3 second integration window extends to complex, naturalistic visual sequences more consistent with our experience of the subjective present.
Central stars of Planetary Nebulae in SDSS and IPHAS

Space densities and birthrates of Planetary Nebulae (PNe) are highly uncertain. A large range of formation rates has been derived by different studies, which has led to contradicting ideas for the final evolutionary phases of low and intermediate mass stars. We started a project to deduce a birthrate using a sample of PNe within 2 kpc. The central stars will be identified in the PNe fields by their photometric colours and then used to establish improved distance estimates. To facilitate this we have created grids of photometric colours which are used to constrain stellar parameters. Our study has concentrated on PNe in SDSS and the INT Photometric Hα Survey (IPHAS) so far. IPHAS is a nearly complete northern galactic plane survey in Hα, r' and i' bands. Many previously unknown PNe have been discovered with IPHAS. We investigate implications of a more complete local sample on PN birthrate estimates.
Measuring Economic Uncertainty Using the Survey of Professional Forecasters

Uncertainty about how the economy will evolve is a key concern for households and firms. People’s views on how likely it is that the economy will be growing, stagnating, or in recession help shape the actions they take today. Consequently, how households and firms respond to uncertainty has implications for economic activity. In addition, uncertainty matters to policymakers: Monetary policymakers recognize that if uncertainty about future inflation is high, decision-making by households and firms becomes more complicated. In this article, Keith Sill describes how uncertainty can be measured using data from the Survey of Professional Forecasters and shows how these measures have changed over time for output growth and inflation. He also examines some links between the macroeconomy and measures of output and inflation uncertainty.
Distributed On-Chip Operating System for Network on Chip

Network on Chip (NoC) is proposed as a promising solution for processors with many cores integrated onto a single chip. The main advantages of NoC are favorable scalability and high bandwidth for on-chip cores and communications. However, OS designed for NoC have not been fully researched to date. Because the microkernel operating system is composed of modules, such architecture is suitable to execute on many-core architecture. In this paper, a methodology is proposed to design and implement a microkernel-based OS on NoC. The OS is divided into modules and distributed onto the whole network using the NoC communication fabric. MINIX 3 has been extended to implement a prototype of the OS. Simulation results for real applications demonstrate that the mapping approach affects performance hugely, with the best mapping outperforming the worst with up to 43.2% reduction in average latency.
Active mode leakage reduction using fine-grained forward body biasing strategy

Leakage power minimization has become an important issue with technology scaling. Variable threshold voltage schemes have become popular for standby power reduction. In this work we look at another emerging aspect of this potent problem which is leakage power reduction in active mode of operation. In gate level circuits, a large number of gates are not switching in active mode at any given point in time but nevertheless are consuming leakage power. We propose a fine-grained Forward Body Biasing (FBB) Scheme for active mode leakage power reduction in gate level circuits without any delay penalty. Our results show that our optimal polynomial time FBB allocation scheme results in 70.2% reduction in leakage currents. We also present a novel placement-driven FBB allocation algorithm that effectively reduces the area penalty using the post-placement area slack and results in 39.7%, 64.7% and 67.1% reduction in leakage currents for 0%, 4% and 8% area slack respectively.
Attachment, trust, and satisfaction in relationships: Investigating actor, partner, and mediating effects

Romantic relationship dissatisfaction has been cited as a primary reason for seeking mental health services (H. M. Foran, M. A. Whisman, & S. R. H. Beach, 2015). An increasing number of studies have revealed the importance of romantic attachment in understanding relationship satisfaction (M. Mikulincer & P. R. Shaver, 2016). This study aims to assess dyadic trust as a possible mediator of the relation between insecure romantic attachment and relationship satisfaction within a Canadian community sample of 199 heterosexual couples. Results revealed significant actor and partner effects. Specifically, male and female attachment avoidance, as well as male attachment anxiety, predicted lower dyadic trust, which in turn predicted lower relationship satisfaction. These results add to the current literature, suggesting important gender differences in the effects attachment has on overall relationship satisfaction.
An examination of expected goals and shot efficiency in soccer

The aim of this study was to examine goal scoring in European football leagues and specifically which factors are associated with predicting Expected Goals (xG). This concept helps us to evaluate player, specifically strikers, in the number of goals they score season upon season. Therefore, this study examined the shots from the Premier League and Bundesliga games (380 & 306) from the 2012-2013 season. All of the shots were grouped into sections on the field of play and a theoretical goal value was applied to each area. The factors analysed were: distance of the shot taken from goal and the angle of the shot in relation to the goal. In calculating xG, it is suggested that the distance and angle of the shots matter. A combination of the two factors calculated xG better than each variable alone. Furthermore, this examination of xG has been able to identify mid-table teams scoring and conceding goals relatively accurately. Top league teams and lower league teams over and under achieved respectively. Managers and Coaches may find this method useful in identifying players who consistently score close to their expected total or even out-perform it.
Freehand HDR photography with motion compensation

In theory HDR photography generated from exposure sequences is limited to pictures of still scenes preferably taken with the camera mounted on a tripod. Current state-of-the-art HDR imaging software relaxes this limitation by aligning the pictures with afne transformations. However, two pictures cannot be aligned with a single afne transformation if objects in the scene move or the position of the camera changes which causes parallax effects in the image. In this paper, a method for the non-linear alignment of a picture sequence for HDR imaging is presented. By using techniques for motion detection and compensation, the approach is not only capable to correctly align pictures containing parallax effects, but also able to compensate for the movement of objects in the scene. This way, taking freehand HDR pictures from non-static scenes becomes possible with off-the-shelf digital cameras.
Moment based methods for ensemble assessment and calibration

We describe various moment-based ensemble interpretation models for the construction of probabilistic temperature forecasts from ensembles. We apply the methods to one year of medium range ensemble forecasts and perform in and out of sample testing. Our main conclusion is that probabilistic forecasts derived from the ensemble mean using regression are just as good as those based on the ensemble mean and the ensemble spread using a more complex calibration algorithm. The explanation for this seems to be that the predictable component of the variability of the forecast uncertainty is only a small fraction of the total forecast uncertainty. Users of ensemble temperature forecasts are advised, until further evidence becomes available, to ignore the ensemble spread and build probabilistic forecasts based on the ensemble mean alone.
Macroscopic and microscopic deformation coupling in up‐sampled cloth simulation

Various methods of predicting the deformation of fine‐scale cloth from coarser resolutions have been explored. However, the influence of fine‐scale deformation has not been considered in coarse‐scale simulations. Thus, the simulation of highly nonhomogeneous detailed cloth is prone to large errors. We introduce an effective method to simulate cloth made of nonhomogeneous, anisotropic materials. We precompute a macroscopic stiffness that incorporates anisotropy from the microscopic structure, using the deformation computed for each unit strain. At every time step of the simulation, we compute the deformation of coarse meshes using the coarsened stiffness, which saves computational time and add higher‐level details constructed by the characteristic displacement of simulated meshes. We demonstrate that anisotropic and inhomogeneous cloth models can be simulated efficiently using our method. © 2014 The Authors. Computer Animation and Virtual Worlds published by John Wiley & Sons, Ltd.
Tensor Decompositions for Very Large Scale Problems

Modern applications such as neuroscience, text mining, and l rge-scale social networks generate massive amounts of data with multiple aspects and high dimen sionality. Tensors (i.e., multi-way arrays) provide a natural representation for such massive data. Con sequently, tensor decompositions and factorizations are emerging as novel and promising tools for explo ratory analysis of multidimensional data in diverse disciplines including social networks analysis . Tensor decompositions, especially DEDICOM, PARAFAC and TUCKER models are important tools for explorati on of social networks by capturing multi-linear and multi-aspects structures in massive high er-order data-sets. However, most of the existing algorithms for tensor decompositions and factorizations a re not suitable for large-scale problems since usually memory overflows occur during the tensor decomposit ion process [1], [2]. In this paper we propose novel algorithms for 3D nonnegative DEDICOM and TUCKER models which are suitable for very large scale problems. In fact, ou r algorithms allow us to work with much larger dense tensors that were too big to handle before. In our appro ch, we first decompose three-way data into Tucker-3 or Tucker-2, and next we retrieve the desired D EDICOM matrices from the Tucker factors and core tensor. For very large-scale problems we developed novel divide and conquer procedure which splits a data tensor to sub-tensors and next performs TUCKER -3 for the each sub-tensor in parallel way, and next reassemble the results to estimate desired factor ( component) matrices of the DEDICOM model. We illustrate validity and high performance of the proposed algorithms by two illustrative examples.
C-TREND : A New Technique for Identifying and Visualizing Trends in Transactional Data

C-TREND: A New Technique for Identifying and Visualizing Trends in Transactional Data Gediminas Adomavicius, Jesse Bockstedt Department of Information and Decision Sciences Carlson School of Management University of Minnesota { gedas@umn.edu, jbockstedt@csom.umn.edu } Last Modified: February 1, 2007 Abstract. We introduce C-TREND, a new temporal data analysis and visualization technique for representing trends in multi-attribute transactional data. C-TREND performs meta-analysis on standard agglomerative hierarchical clustering solutions for multiple time period data partitions to generate trend graphs. C-TREND uses nodes to represent commonly recurring transaction types in each period and edges to represent cross-period relationships between the common types. In this paper, we provide an overview of the C-TREND technique, discuss the procedures for node and edge discovery from temporal data, discuss the implementation and performance of C-TREND, and demonstrate an application of the technique by analyzing the change in technical characteristics of wireless networking technologies over five years.
An English-Language Argumentation Interface for Explanation Generation with Markov Decision Processes in the Domain of Academic Advising

A Markov Decision Process (MDP) policy presents, for each state, an action, which preferably maximizes the expected utility accrual over time. In this article, we present a novel explanation system for MDP policies. The system interactively generates conversational English-language explanations of the actions suggested by an optimal policy, and does so in real time. We rely on natural language explanations in order to build trust between the user and the explanation system, leveraging existing research in psychology in order to generate salient explanations. Our explanation system is designed for portability between domains and uses a combination of domain-specific and domain-independent techniques. The system automatically extracts implicit knowledge from an MDP model and accompanying policy. This MDP-based explanation system can be ported between applications without additional effort by knowledge engineers or model builders. Our system separates domain-specific data from the explanation logic, allowing for a robust system capable of incremental upgrades. Domain-specific explanations are generated through case-based explanation techniques specific to the domain and a knowledge base of concept mappings used to generate English-language explanations.
Compiler assisted Data Forwarding in VLIW / EPIC architectures

This paper proposes a mechanism for reducing the complexity of forwarding hardware in VLIW/EPIC processors. The necessary information for data forwarding is known at compile time. This paper proposes a way to incorporate the forwarding information along with the instruction itself, thereby reducing the hardware complexity of forwarding logic with implications for power saving and reducing chip area.