Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning-based power modeling of system-level black-box IPs

Virtual platform prototypes are widely utilized to enable early system-level design space exploration. Accurate power models for hardware components at high levels of abstraction are needed to enable system-level power analysis and optimization. However, the limited observability of third party IPs renders traditional power modeling methods challenging and inaccurate. In this paper, we present a novel approach for extending behavioral models of black-box hardware IPs with an accurate power estimate. We leverage state-of-the-art-machine learning techniques to synthesize an abstract power model. Our model uses input and output history to track data-dependent pipeline behavior. Furthermore, we introduce a specialized ensemble learning that is composed out of individually selected cycle-by-cycle models to reduce overall complexity and further increase estimation accuracy. Results of applying our approach to various industrial-strength design examples shows that our models predict average power consumption to within 3% of a commercial gate-level power estimation tool, all while running several orders of magnitude faster.
Recent research on fumonisins: a review

Fumonisins are well known mycotoxins produced by Fusarium verticillioides, F. proliferatum and other Fusarium species. Many new fumonisins and fumonisin-like compounds have been detected by mass spectrometry in cultures of F. verticillioides. Recently, fumonisins B2 and B4 were produced by Aspergillus niger isolated from coffee and fumonisin B2 in A. niger from grapes. Fumonisin B2 was itself detected in coffee beans, wine and beer, adding to the list of foodstuffs and feedstuffs other than corn (maize) and sorghum in which fumonisins have been found in recent years. Fumonisin B1 (FB1) can bind to proteins (PB FB1) and to other matrix components during food processing involving heat. The occurrence of bound fumonisins in processed corn foods is common. Another type of binding (or association) relates to observed instability of fumonisins in rice flour, corn starch and corn meal at room temperature; this can affect the immunoaffinity column clean-up procedure in analysis of naturally contaminated starch-containing corn foods for fumonisins. The occurrence of N-fatty acylated fumonisin derivatives in retail fried corn foods has also been demonstrated. Bioaccessibility of free FB1 and total bound FB1 (TB FB1) present in corn flakes has been estimated by in vitro digestion experiments. Intentional binding of fumonisins to cholestyramine has been demonstrated in vivo and is a potential means of detoxification of animal feed.
Cortical organization.

2. Secondary cortex: located immediately adjacent to primary cortical areas, they show extensive connections with primary cortical areas. secondary cortex normally involved in extracting ______________ _____________ derived from simple sensations. ex. , in humans, there exists between 20 40 secondary visual areas; some of these areas are specialized to extract complex forms, whereas others are specialized to detect motion, etc.
Automatic and Direct Identification of Blink Components from Scalp EEG

Eye blink is an important and inevitable artifact during scalp electroencephalogram (EEG) recording. The main problem in EEG signal processing is how to identify eye blink components automatically with independent component analysis (ICA). Taking into account the fact that the eye blink as an external source has a higher sum of correlation with frontal EEG channels than all other sources due to both its location and significant amplitude, in this paper, we proposed a method based on correlation index and the feature of power distribution to automatically detect eye blink components. Furthermore, we prove mathematically that the correlation between independent components and scalp EEG channels can be translating directly from the mixing matrix of ICA. This helps to simplify calculations and understand the implications of the correlation. The proposed method doesn't need to select a template or thresholds in advance, and it works without simultaneously recording an electrooculography (EOG) reference. The experimental results demonstrate that the proposed method can automatically recognize eye blink components with a high accuracy on entire datasets from 15 subjects.
GEM-MIGAS Electron Multiplier Operation in Argon-Methane Mixtures

A Gas Electron Multiplier with a Micro-Induction Gap Amplifying Structure (GEM-MIGAS) is formed when a conventional GEM is operated with a short induction gap, typically 50 mum. A three-dimensional electric field simulation of a GEM-MIGAS detector was performed in order to evaluate the electric field profile in the different regions of the structure. Different electrostatic conditions were undertaken to forecast the detector performance in gas medium. An experimental study of GEM-MIGAS operating in an Ar/CH4 (90/10%) gas mixture, in pure CH4 and in pure Ar was carried out. Performance characteristics including charge gain and energy resolution for 5.9 keV X-rays are presented.
Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Autonomic Metered Pricing for a Utility Computing Service

An increasing number of providers are offering utility computing services which require users to pay only when they use them. Most of these providers currently charge users for metered usage based on fixed prices. In this paper, we analyze the pros and cons of charging fixed prices as compared to variable prices. In particular, charging fixed prices do not differentiate pricing based on different user requirements. Hence, we highlight the importance of deploying an autonomic pricing mechanism that self-adjusts pricing parameters to consider both application and service requirements of users. Performance results observed in the actual implementation of an enterprise Cloud show that the autonomic pricing mechanism is able to achieve higher revenue than various other common fixed and variable pricing mechanisms.
Introduction of an activated N-ras oncogene alters the growth characteristics of the interleukin 6-dependent myeloma cell line ANBL6.

Multiple myeloma (MM) is a late-stage B-cell cancer with an unknown etiology. Activating mutations of the N-ras and K-ras oncogenes occur with a high frequency in myeloma and, therefore, may play a role in the pathogenesis of the disease. To study the role of N-ras-activating mutations in the regulation of myeloma tumor growth, we introduced a constitutively active N-ras cDNA containing a glutamine to arginine (CAA-CGA) amino acid substitution at codon 61 into the interleukin 6 (IL-6)-dependent myeloma cell line ANBL6. Expression of the mutant N-ras cDNA resulted in significant IL-6-independent growth, as well as augmentation of growth at suboptimal concentrations of IL-6. The IL-6-independent growth pattern was not the result of activation of autocrine IL-6 production in the mutant N-ras-expressing population because neutralizing antibodies to the IL-6 receptor and to IL-6 had no effect on the rate of DNA synthesis in the absence of IL-6. Furthermore, mutant N-ras expression decreased the percentage of cells undergoing apoptosis in the absence of IL-6. These data suggest that activating mutations of the ras oncogenes may result in growth factor independence accompanied by a suppression of apoptosis in MM. Therefore, the use of therapies designed to block IL-6 action in MM may have less of an impact on tumors bearing activated ras mutations.
Potassium channel activators protect the N-methyl-D-aspartate-induced cerebral vascular dilation after combined hypoxia and ischemia in piglets.

BACKGROUND AND PURPOSE Cerebral arteriolar dilation to N-methyl-D-aspartate (NMDA) is a neuronally mediated multistep process that is sensitive to cerebral hypoxia and ischemia (H/I). We tested the hypothesis that topical pretreatment with the selective potassium channel agonists NS1619 and aprikalim preserves the vascular response to NMDA after consecutive H/I. METHODS Pial arteriolar diameters were measured in anesthetized piglets with the use of a closed cranial window and intravital microscopy. Arteriolar responses to NMDA (10(-5), 5 x 10(-5), and 10(-4) mol/L) were recorded before and 1 hour after 10 minutes of hypoxia (8.5% O2 in N2) plus 10 minutes of ischemia (H/I). Ischemia was induced by increasing intracranial pressure. Subgroups were topically pretreated with 10(-5) mol/L NS1619, 10(-6) mol/L aprikalim, 10(-6) mol/L calcitonin gene-related peptide (CGRP), or 10(-5) mol/L papaverine. We also examined the effects of H/I on vascular responses to kainate (10(-4) mol/L) to assess specificity of neuronal injury. RESULTS Arteriolar responses to NMDA were significantly attenuated after H/I. Baseline compared with post-H/I arteriolar diameters were 9+/-4% versus 3+/-2% at 10(-5) mol/L, 22+/-4% versus 4+/-2% at 5 x 10(-5) mol/L, and 33+/-4% versus 7+/-2% at 10(-4) mol/L (mean+/-SE; all P<.05, n=7). Pretreatment with NS1619 and aprikalim preserved the arteriolar responses to NMDA after H/I. For NS1619 (n=6), values were as follows: 9+/-2% versus 6+/-4% at 10(-5) mol/L, 19+/-6% versus 21+/-5% at 5 x 10(-5) mol/L, and 35+/-3% versus 31+/-5% at 10(-4) mol/L. For aprikalim (n=7), values were as follows: 6+/-2% versus 8+/-2% at 10(-5) mol/L, 22+/-6% versus 15+/-3% at 5 x 10(-5) mol/L, and 41+/-5% versus 32+/-6% at 10(-4) mol/L. In contrast, piglets pretreated with CGRP (n=6) or papaverine (n=5) showed no preservation of the vascular response to NMDA after H/I, although these compounds dilated the arterioles to an extent similar to that with NS1619/aprikalim. Kainate-induced arteriolar dilation (n=6) was largely preserved after H/I compared with preischemic responses. CONCLUSIONS (1) Vascular responses of cerebral arterioles to NMDA after H/I are preserved by pretreatment with NS1619 or aprikalim, indicating a neuroprotective effect. (2) CGRP and papaverine do not preserve the vascular response to NMDA despite causing vasodilation similar to that with NS1619 or aprikalim. This suggests that activation of potassium channels on neurons accounts for the protective effect of potassium channel agonists. (3) Preserved arteriolar dilation to kainate suggests largely intact functioning of neuronal nitric oxide synthase after H/I.
On the Possibility of Speculation under Rational Expectations

This paper considers the possibility of static and dynamic speculation when traders have rational expectations. Its central theme is that, unless traders have different priors or are able to obtain insurance in the market, speculation relies on inconsistent plans, and thus is ruled out by rational expectations. Its main contribution lies in the integration of the rational expectations equilibrium concept into a model of dynamic asset trading and in the study of the speculation created by potential capital gains. Price bubbles and their martingale properties are examined. It is argued that price bubbles rely on the myopia of traders and that they disappear if traders adopt a truly dynamic maximizing behavior.
Activity recognition in naturalistic environments using body-worn sensors

Faculty of Science, Agriculture and Engineering School of Computing Science Doctor of Philosophy Activity Recognition in Naturalistic Environments using Body-Worn Sensors by Nils Yannick Hammerla The research presented in this thesis investigates how deep learning and feature learning can address challenges that arise for activity recognition systems in naturalistic, ecologically valid surroundings such as the private home. One of the main aims of ubiquitous computing is the development of automated recognition systems for human activities and behaviour that are sufficiently robust to be deployed in realistic, in-the-wild environments. In most cases, the targeted application scenarios are people’s daily lives, where systems have to abide by practical usability and privacy constraints. We discuss how these constraints impact data collection and analysis and demonstrate how common approaches to the analysis of movement data effectively limit the practical use of activity recognition systems in every-day surroundings. In light of these issues we develop a novel approach to the representation and modelling of movement data based on a data-driven methodology that has applications in activity recognition, behaviour imaging, and skill assessment in ubiquitous computing. A number of case studies illustrate the suitability of the proposed methods and outline how study design can be adapted to maximise the benefit of these techniques, which show promising performance for clinical applications in particular.
Coexistence of MSI with KRAS mutation is associated with worse prognosis in colorectal cancer

AbstractKristen rat sarcoma viral oncogene homolog (KRAS) and microsatellite instability (MSI) are prognostic markers of colorectal cancer (CRC). However, the clinical value is still not fully understood, when giving the consideration to both the molecular makers. Five hundred fifty-one patients with CRC were retrospectively assessed by determining their clinicopathological features. KRAS mutations were detected by polymerase chain reaction. MSI, a defect in the mismatch repair (MMR) system, was detected by immunohistochemistry. The prognostic value of KRAS in combination with MSI was studied. Among 551 CRC patients, mutations in KRAS codon 12 and KRAS codon 13 were detected in 34.5% and 10.5% of patients, respectively. Four hundred one tumors were randomly selected to detect for MMR proteins expression. In this analysis, 30 (7.5%) tumors that had at least 1 MMR protein loss were defined as MMR protein-deficient (MMR-D), and the remaining tumors were classed as MMR protein-intact (MMR-I). According to KRAS mutation and MSI status, CRC was classified into 4 groups: Group 1, KRAS-mutated and MMR-I; Group 2, KRAS-mutated and MMR-D; Group 3, KRAS wild and MMR-I; and Group 4, KRAS wild and MMR-D. We found that patients in Group4 had the best prognosis. In conclusion, combination status of KRAS and MSI status may be used as a prognostic biomarker for CRC patient, if validated by larger studies.
A Hybrid Fingerprint Enhancement Algorithm

1 The author was supported in part by NSC grant 94-2213-E-033-031. 2 The author was supported in part by NSC grant 94-2213-E-033-024. Abstract Fingerprint image enhancement is a common and critical step in fingerprint recognition systems. To enhance the images, most of the existing enhancement algorithms use filtering techniques that can be categorized into isotropic and anisotropic according to the filter kernel. Isotropic filtering can properly preserve features on the input images but can hardly improve the quality of the images. On the other hand, anisotropic filtering can effectively remove noises from the image but only when a reliable orientation is provided. In this paper, we propose an orientation estimation and verification algorithm which can not only generate an orientation of ridge flows, but also verify its reliability. Based on this algorithm, a hybrid fingerprint enhancement algorithm is developed which applies isotropic filtering on regions without reliable orientations and anisotropic filtering on regions with reliable orientations. Experimental results show the proposed algorithm can combine advantages of both isotropic and anisotropic filtering techniques and generally improve the quality of fingerprint images.
Putting a finishing touch on GECIs

More than a decade ago genetically encoded calcium indicators (GECIs) entered the stage as new promising tools to image calcium dynamics and neuronal activity in living tissues and designated cell types in vivo. From a variety of initial designs two have emerged as promising prototypes for further optimization: FRET (Förster Resonance Energy Transfer)-based sensors and single fluorophore sensors of the GCaMP family. Recent efforts in structural analysis, engineering and screening have broken important performance thresholds in the latest generation for both classes. While these improvements have made GECIs a powerful means to perform physiology in living animals, a number of other aspects of sensor function deserve attention. These aspects include indicator linearity, toxicity and slow response kinetics. Furthermore creating high performance sensors with optically more favorable emission in red or infrared wavelengths as well as new stably or conditionally GECI-expressing animal lines are on the wish list. When the remaining issues are solved, imaging of GECIs will finally have crossed the last milestone, evolving from an initial promise into a fully matured technology.
Modeling the Martian dust cycle . 1 : Representations of dust transport processes

A dust transport scheme has been developed for a general circulation model of the Martian atmosphere. This enables radiatively active dust transport, with the atmospheric state responding to changes in the dust distribution via atmospheric heating, as well as dust transport being determined by atmospheric conditions. The scheme includes dust lifting, advection by model winds, atmospheric mixing, and gravitational sedimentation. Parameterizations of lifting initiated by a) near-surface wind stress and b) convective vortices known as dust devils are considered. Two parameterizations are defined for each mechanism, and are first investigated offline using data previously output from the non-dust transporting model. The threshold-insensitive parameterizations predict some lifting over most regions, varying smoothly in space and time. The threshold-sensitive parameterizations predict lifting only during extreme atmospheric conditions (such as exceptionally strong winds) so lifting is rarer and more confined to specific regions and times. Wind stress lifting is predicted to peak during southern summer, largely between latitudes 15◦– 35◦S, with maxima also in regions of strong slope winds or thermal contrast flows. These areas are consistent with observed storm onset regions and dark streak surface features. Dust devil lifting is also predicted to peak during southern summer, with a moderate peak during northern summer. The greatest dust devil lifting occurs in early afternoon, particularly in the Noachis, Arcadia/Amazonis, Sirenum and Thaumasia regions. Radiatively active dust transport experiments reveal strong positive feedbacks on lifting by near-surface wind stress, and negative feedbacks on lifting by dust devils.
Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery

Background and Purpose— Because robotic devices record the kinematics and kinetics of human movements with high resolution, we hypothesized that robotic measures collected longitudinally in patients after stroke would bear a significant relationship to standard clinical outcome measures and, therefore, might provide superior biomarkers. Methods— In patients with moderate-to-severe acute ischemic stroke, we used clinical scales and robotic devices to measure arm movement 7, 14, 21, 30, and 90 days after the event at 2 clinical sites. The robots are interactive devices that measure speed, position, and force so that calculated kinematic and kinetic parameters could be compared with clinical assessments. Results— Among 208 patients, robotic measures predicted well the clinical measures (cross-validated R2 of modified Rankin scale=0.60; National Institutes of Health Stroke Scale=0.63; Fugl-Meyer=0.73; Motor Power=0.75). When suitably scaled and combined by an artificial neural network, the robotic measures demonstrated greater sensitivity in measuring the recovery of patients from day 7 to day 90 (increased standardized effect=1.47). Conclusions— These results demonstrate that robotic measures of motor performance will more than adequately capture outcome, and the altered effect size will reduce the required sample size. Reducing sample size will likely improve study efficiency.
Continuous Collision Detection between Deformable Models using Connectivity-Based Culling

We present an interactive algorithm for continuous collision detection between deformable models. We introduce two techniques to improve the culling efficiency and reduce the number of potentially colliding triangle candidate pairs. First, we present a novel formulation for continuous normal cones and use these normal cones to efficiently cull large regions of the mesh from self-collision tests. Second, we exploit the mesh connectivity and introduce the concept of “orphan sets” to eliminate almost all redundant elementary tests between adjacent triangles. In particular, we can reduce the number of elementary tests by many orders of magnitude. These culling techniques have been combined with bounding volume hierarchies and can result in one order of magnitude performance improvement as compared to prior algorithms for deformable models. We highlight the performance of our algorithm on several benchmarks, including cloth simulations, N-body simulations and breaking objects. CR Categories: I.3. 5 [Computing Methodologies]: Computational Geometry and Object Modeling—Geometric algorithms; I.3. 7 [Computing Methodologies]: Three-Dimensional Graphics and Realism—Visible surface algorithms, animation, virtual reality;
Solid by-products of a CF3I–CO2 insulating gas mixtures on electrodes after lightning impulse breakdown

This paper investigates the solid by-products of CF3I–CO2 gas mixtures and their proposed use as an alternative insulation medium in gas insulated switchgear and lines. The deposited by-products of a 30%–70% CF3I–CO2 gas mixture are experimentally investigated using stainless steel, aluminium and copper contacts whilst a standard 50 kV lightning impulse is used to cause electrical breakdown in the gas mixture. Following breakdown, the accumulated by-products over the electrodes surface were examined using an imaging microscope and scanning electron microscope. This paper discusses the results of microscope analysis on the surface of the electrodes and explores the effects that the detected by-products could have on high voltage CF3I–CO2 gas insulated equipment.
Acute cold exposure and the metabolism of glucose and some of its precursors in the liver of the fed and fasted sheep.

Measurements of total body oxygen consumption, visceral and hepatic blood flow, oxygen consumption, exchanges of amino acids, lactate, pyruvate and glucose were made on sheep fed 3--6 h or 21 h before the experiment and exposed for 3 h to a neutral environment (15 degrees C) or a cold environment (0.5 to 4 degrees C with clipped coat and wind speed 2 m.s-1). Recent feeding significantly increasedd the total oxygen consumption and the oxygen consumption of the viscera and liver. No general release of amino acids from the viscera or uptake by the liver after feeding was detected although the arterial plasma concentration of essential amino acids did increase significantly after feeding. The plasma concentration of most non-essential amino acids also increased except that of glycine, which decreased significantly. Cold exposure increased the total oxygen consumption and reduced the respiratory quotient significantly. Release of amino acids from the viscera was stimulated by cold exposure. There was a variable increase in the hepatic uptake of lactate and alanine when the sheep were fasted and cold-exposed. The liver's glucose output doubled and the blood (arterial) glucose concentration significantly increased in the cold.