Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonparametric Canonical Correlation Analysis

Canonical correlation analysis (CCA) is a classical representation learning technique for finding correlated variables in multi-view data. Several nonlinear extensions of the original linear CCA have been proposed, including kernel and deep neural network methods. These approaches seek maximally correlated projections among families of functions, which the user specifies (by choosing a kernel or neural network structure), and are computationally demanding. Interestingly, the theory of nonlinear CCA, without functional restrictions, had been studied in the population setting by Lancaster already in the 1950s, but these results have not inspired practical algorithms. We revisit Lancaster's theory to devise a practical algorithm for nonparametric CCA (NCCA). Specifically, we show that the solution can be expressed in terms of the singular value decomposition of a certain operator associated with the joint density of the views. Thus, by estimating the population density from data, NCCA reduces to solving an eigenvalue system, superficially like kernel CCA but, importantly, without requiring the inversion of any kernel matrix. We also derive a partially linear CCA (PLCCA) variant in which one of the views undergoes a linear projection while the other is nonparametric. Using a kernel density estimate based on a small number of nearest neighbors, our NCCA and PLCCA algorithms are memory-efficient, often run much faster, and perform better than kernel CCA and comparable to deep CCA.
A Class of Globally Convergent Velocity Observers for Robotic Manipulators

We present a method for global estimation of joint velocities in rigid manipulators. A class of velocity observers with smooth dynamics are introduced whose structure depend on freely selectable functions and gains giving the flexibility of achieving multiple design objectives at the same time. Unlike most methods, no a priori knowledge of an upper bound for velocity magnitude is used. An adaptive version of the observer is also presented to handle a class of structured uncertainties in manipulator model. Simulation example illustrates low noise sensitivity of the globally convergent observer in comparison with semi-globally convergent observers.
Fas Receptor and Neuronal Cell Death after Spinal Cord Ischemia

Cell death from spinal cord injury is mediated in part by apoptotic mechanisms involving downstream caspases (e.g., caspase-3). Upstream mechanisms may involve other caspases such as procaspase-8, a 55 kDa apical caspase, which we found constitutively expressed within spinal cord neurons along with Fas. As early as 1.5 hr after transient ischemia, activated caspase-8 (p18) and caspase-8 mRNA appeared within neurons in intermediate gray matter and in medial ventral horn. We also detected evidence for an increase in death receptor complex by co-immunoprecipitation using Fas and anti-procaspase-8 after ischemia. At early time points, Fas and p18 were co-expressed within individual neurons, as were activated caspase-8 and caspase-3. Moreover, we detected p18 in cells before procaspase-3 cleavage product (p20), suggesting sequential activation. The appearance of cytosolic cytochrome c and gelsolin cleavage after ischemia was consistent with mitochondrial release and caspase-3 activation, respectively. Numerous terminal deoxynucleotidyl transferase-mediated DNA nick end-labeling-positive neurons contained p18 or p20 (65 and 80%, respectively), thereby supporting the idea that cells undergoing cell death contain both processed caspases. Our data are consistent with the idea that transient spinal cord ischemia induces the formation of a death-inducing signaling complex, which may participate in caspase-8 activation and sequential caspase-3 cleavage. Death receptors as well as downstream caspases may be useful therapeutic targets for limiting the death of cells in spinal cord.
Macrodynamics of debt regimes, financial instability and growth.

This paper develops a post-Keynesian dynamic model of capacity utilisation and growth, in which the supply of credit-money is endogenous and firms' debt position-and thus the financial fragility of the economy a la Hyman Minsky-is explicitly modelled. The interest rate is set by banks as a markup over a base rate exogenously determined by the monetary authority. The banking markup varies with changes in capacity utilisation, while the debt ratio varies with changes in the rates of interest, capital accumulation and growth. Regarding dynamics, it is shown the possibility of relating the stability properties of a system with the interest rate and the debt ratio as state variables to the prevailing Minskyan regime-hedge, speculative or Ponzi.
A heuristic for clock selection in high-level synthesis

Clock selection has a significant impact on the performance and quality of designs in high-level synthesis. In most synthesis systems, a convenient value of the clock is chosen or exact (and expensive) methods have been used for clock selection. This paper presents a novel heuristic approach for near-optimal clock selection for synthesis systems. This technique is based on critical paths in the dataflow graph. In addition, we introduce and exploit a new figure of merit called the activity factor to choose the best possible clock. Extensive experimental results show that the proposed technique is very fast and produces optimal solutions in a large number of cases; in those cases, where it is not optimal, we are off by just a few percent from optimal.
Parametric Resonance in Microcantilevers with Application in Mass Sensing

1.1 Characteristic phase dependance between direct forcing and parametric amplified forcing phase. Plotted is gain vs. phase at resonance for a 2.1 Simulated response of a parametrically resonant system under two driving conditions. The drive signal is shifted by pi-radians. The physical response, displacement is plotted here, is identical as driven by the two signals. Thus, phase shifting the drive by pi does not effect the system response. Simulated observations of the three regions of a parametric resonant system for a negative cubic stiffness coefficient (γ < 0). [a] Spectrum of stable and unstable solutions of parametrically resonant system using the parameters in table, and the regions of stability segregated by the two bifurcation points of the system. [b] Phase space of region 1, shows 3 stable points. One stable point is at origin (no motion) and the other are two are symmetric about the origin. [c] Phase space of region 2. Origin unstable, symmetric stable solutions. [d] Time series growth of solution amplitude to stable point with parameters from c. Initial conditions [0. Changing the polarity of the nonlinear parameter γ does not effect the linear stability region. The system on the left is a 'softening' system, that is it has a negative cubic nonlinearity and large amplitude oscillations cause a lessening of the linear stress-strain relationship. The system on the right is 'hardening'. Parameters used in simulation in-5 2.6 A comparison of 'duffing' oscillator (top) and parametrically excited oscillator (bottom) for increasing drive amplitude and of equal parameters. Notice that using large forcing can increase sensing amplitude by orders of magnitude.
Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes.

BACKGROUND Habitual red meat consumption was consistently related to a higher risk of type 2 diabetes in observational studies. Potentially underlying mechanisms are unclear. OBJECTIVE This study aimed to identify blood metabolites that possibly relate red meat consumption to the occurrence of type 2 diabetes. DESIGN Analyses were conducted in the prospective European Prospective Investigation into Cancer and Nutrition-Potsdam cohort (n = 27,548), applying a nested case-cohort design (n = 2681, including 688 incident diabetes cases). Habitual diet was assessed with validated semiquantitative food-frequency questionnaires. Total red meat consumption was defined as energy-standardized summed intake of unprocessed and processed red meats. Concentrations of 14 amino acids, 17 acylcarnitines, 81 glycerophospholipids, 14 sphingomyelins, and ferritin were determined in serum samples from baseline. These biomarkers were considered potential mediators of the relation between total red meat consumption and diabetes risk in Cox models. The proportion of diabetes risk explainable by biomarker adjustment was estimated in a bootstrapping procedure with 1000 replicates. RESULTS After adjustment for age, sex, lifestyle, diet, and body mass index, total red meat consumption was directly related to diabetes risk [HR for 2 SD (11 g/MJ): 1.26; 95% CI: 1.01, 1.57]. Six biomarkers (ferritin, glycine, diacyl phosphatidylcholines 36:4 and 38:4, lysophosphatidylcholine 17:0, and hydroxy-sphingomyelin 14:1) were associated with red meat consumption and diabetes risk. The red meat-associated diabetes risk was significantly (P < 0.001) attenuated after simultaneous adjustment for these biomarkers [biomarker-adjusted HR for 2 SD (11 g/MJ): 1.09; 95% CI: 0.86, 1.38]. The proportion of diabetes risk explainable by respective biomarkers was 69% (IQR: 49%, 106%). CONCLUSION In our study, high ferritin, low glycine, and altered hepatic-derived lipid concentrations in the circulation were associated with total red meat consumption and, independent of red meat, with diabetes risk. The red meat-associated diabetes risk was largely attenuated after adjustment for selected biomarkers, which is consistent with the presumed mediation hypothesis.
Prevention of doxorubicin myocardial toxicity in mice by reduced glutathione.

The effect of reduced glutathione (GSH) on acute myocardial toxicity due to doxorubicin (DXR) was investigated. At 20 mg/kg i.p. DXR was 100% lethal to BALB/c X DBA/2 F1 mice. At 500 or 1000 mg/kg i.p. GSH significantly decreased the lethality (P less than 0.01). Electron micrographs of the myocardium from DXR-treated mice showed narrowing of myofibrils, edematous cytoplasm, and mitochondrial swelling which were detectable at day 2, was strongest at day 14, but had disappeared by day 56. Light microscopic examination revealed that intercellular spaces between myocardial cells were widened at day 56, indicating shrinking of myocardial cells. These changes were significantly decreased by treatment with GSH (500 mg/kg i.p.). Treatment with DXR (14 mg/kg) significantly decreased myocardial non-protein sulfhydryl content (P less than 0.02) and administration of GSH (500 mg/kg) prevented the drop of non-protein sulfhydryl levels due to DXR treatment. Thus it was considered that administration of exogenous GSH contributes to prevention of the acute myocardial toxicity of DXR by increasing extracellular GSH levels and intracellular GSH synthesis, which detoxifies DXR-oxygen metabolites. The administration of GSH did not interfere with the antineoplastic effect of DXR against L1210 mouse leukemia.
Eecient Algorithms for Inverting Evolution

Evolution can be mathematically modelled by a stochastic process that operates on the DNA of species. Such models are based on the established theory that the DNA sequences (or genomes) of all extant species have been derived from the genome of the common ancestor of all species by a process of random mutation and natural selection. A stochastic model of evolution can be used to construct phylogenies, or evolutionary trees, for a set of species. Maximum Likelihood Estimations (MLE) methods seek the evolutionary tree which is most likely to have produced the DNA under consideration. While these methods are intellectually satisfying, they have not been widely accepted because of their computational intractability. In this paper, we address the intractability of MLE methods as follows. We introduce a metric on stochastic process models of evolution. We show that this metric is meaningful by proving that in order for any algorithm to distinguish between two stochatic models that are close according to this metric, it needs to be given many observations. We complement this result with a simple and eecient algorithm for inverting the stochastic process of evolution, that is, for building a tree from observations on two-state characters. (We have used the same techniques in a subsequent paper to solve the problem for multistate characters, and hence for building a tree from DNA sequence data.) The tree we build is provably close (in our metric) to the tree generating the data and gets closer as more observations become available. Though there have been many heuristics suggested for the problem of nding good approximations to the most likely tree, our algorithm is the rst one with a guaranteed convergence rate, and further, this rate is within a polynomial of the lower-bound rate we establish. Ours is also the the rst polynomial-time algorithm which is proven to converge at all to the correct tree.
Recent advances in CE‐MS coupling: Instrumentation, methodology, and applications

This review focuses on the latest development of microseparation electromigration methods in capillaries and microfluidic devices coupled with MS for detection and identification of important analytes. It is a continuation of the review article on the same topic by Kleparnik (Electrophoresis 2015, 36, 159–178). A wide selection of 161 relevant articles covers the literature published from June 2014 till May 2016. New improvements in the instrumentation and methodology of MS interfaced with capillary or microfluidic versions of zone electrophoresis, isotachophoresis, and isoelectric focusing are described in detail. The most frequently implemented MS ionization methods include electrospray ionization, matrix‐assisted desorption/ionization and inductively coupled plasma ionization. Although the main attention is paid to the development of instrumentation and methodology, representative examples illustrate also applications in the proteomics, glycomics, metabolomics, biomarker research, forensics, pharmacology, food analysis, and single‐cell analysis. The combinations of MS with capillary versions of electrochromatography, and micellar electrokinetic chromatography are not included.
Boiling at sub-atmospheric conditions with enhanced structures

Liquid cooling with phase change is a very attractive option for thermal management of electronics because it achieves very high heat transfer coefficients compared to single phase liquid cooling. Phase change liquid cooling can be implemented in a thermosyphon loop, where heat is transferred from the heated surface to the evaporator and rejected to the ambient from the condenser. Optimized design of the evaporator requires a fundamental understanding of boiling in the evaporator. Past studies with dielectric working fluids have shown the importance of using boiling enhancement structures in lowering incipience overshoot, increasing heat flux and reducing evaporator volume. Water possesses superior thermal properties than dielectric liquids, but there is a lack in the understanding of boiling of water from enhancement structures. Since in silicon devices, a maximum surface temperature of 85degC is typically allowed, boiling of water at sub-atmospheric pressures for lowering the saturation temperature and thus aiding in early initiation of nucleate boiling is required. The present study aims to provide a detailed understanding of the effects of boiling enhancement structure and sub-atmospheric pressures on the boiling of water and investigate their effectiveness in electronics cooling applications. The effects of system pressures and enhancement structure geometry on the boiling heat transfer are investigated. Experiments were performed at three different pressures, 9.7, 15 and 21 kPa using a stacked enhancement structure with four different geometries (1, 2, 4 and 6 layers). The results are compared with sub-atmospheric pressure boiling from a plain surface
Oncogenic ras and p53 Cooperate To Induce Cellular Senescence

ABSTRACT Oncogenic activation of the mitogen-activated protein (MAP) kinase cascade in murine fibroblasts initiates a senescence-like cell cycle arrest that depends on the ARF/p53 tumor suppressor pathway. To investigate whether p53 is sufficient to induce senescence, we introduced a conditional murine p53 allele (p53val135 ) into p53-null mouse embryonic fibroblasts and examined cell proliferation and senescence in cells expressing p53, oncogenic Ras, or both gene products. Conditional p53 activation efficiently induced a reversible cell cycle arrest but was unable to induce features of senescence. In contrast, coexpression of oncogenic ras or activated mek1 with p53 enhanced both p53 levels and activity relative to that observed for p53 alone and produced an irreversible cell cycle arrest that displayed features of cellular senescence. p19ARF was required for this effect, since p53 −/− ARF −/− double-null cells were unable to undergo senescence following coexpression of oncogenic Ras and p53. Although the levels of exogenous p53 achieved in ARF-null cells were relatively low, the stabilizing effects of p19ARF on p53 could not explain the cooperation between oncogenic Ras and p53 in promoting senescence. Hence, enforced p53 expression without oncogenic ras in p53 −/− mdm2 −/− double-null cells produced extremely high p53 levels but did not induce senescence. Taken together, our results indicate that oncogenic activation of the MAP kinase pathway in murine fibroblasts converts p53 into a senescence inducer through both quantitative and qualitative mechanisms.
Energy-Efficient Synchronous-Logic and Asynchronous-Logic FFT/IFFT Processors

Two 128-point 16-bit radix-2 FFT/IFFT processors based on synchronous-logic (sync) and asynchronous-logic (async) for low voltage (1.1-1.4 V) energy-critical low-speed hearing aids are described. The two processors herein are designed with the same function and similar architecture, and the emphasis is energy efficacy. The async approach, on average, features ~37% lower energy per FFT/IFFT computation than the sync approach but with ~10% larger IC area penalty and an inconsequential 1.4 times worse delay; the async design can be designed to be 0.24 times faster and with largely the same energy dissipation if the matched delay elements and the latch controllers therein are better optimized. In this low-speed application, the lower energy feature of the async design is not attributed to the absence of the clock infrastructure but instead due to the adoption of established and proposed async circuit designs, resulting in reduced redundant operations and reduced spurious/glitch switching, and to the use of latches. The prototype async FFT/IFFT processor (in a 0.35-mum CMOS process) can be operated at 1.0 V and dissipates 93 nJ.
Heterogeneous ice nucleation activity of bacteria: new laboratory experiments at simulated cloud conditions

Abstract. The ice nucleation activities of five different Pseudomonas syringae, Pseudomonas viridiflava and Erwinia herbicola bacterial species and of Snomax™ were investigated in the temperature range between −5 and −15°C. Water suspensions of these bacteria were directly sprayed into the cloud chamber of the AIDA facility of Forschungszentrum Karlsruhe at a temperature of −5.7°C. At this temperature, about 1% of the Snomax™ cells induced immersion freezing of the spray droplets before the droplets evaporated in the cloud chamber. The living cells didn't induce any detectable immersion freezing in the spray droplets at −5.7°C. After evaporation of the spray droplets the bacterial cells remained as aerosol particles in the cloud chamber and were exposed to typical cloud formation conditions in experiments with expansion cooling to about −11°C. During these experiments, the bacterial cells first acted as cloud condensation nuclei to form cloud droplets. Then, only a minor fraction of the cells acted as heterogeneous ice nuclei either in the condensation or the immersion mode. The results indicate that the bacteria investigated in the present study are mainly ice active in the temperature range between −7 and −11°C with an ice nucleation (IN) active fraction of the order of 10−4. In agreement to previous literature results, the ice nucleation efficiency of Snomax™ cells was much larger with an IN active fraction of 0.2 at temperatures around −8°C.
The effects of filtered video on awareness and privacy

Video-based media spaces are designed to support casual interaction between intimate collaborators. Yet transmitting video is fraught with privacy concerns. Some researchers suggest that the video stream be filtered to mask out potentially sensitive information. While a variety of filtering techniques exist, they have not been evaluated for how well they safeguard privacy. In this paper, we analyze how a blur and a pixelize video filter might impact both awareness and privacy in a media space. Each filter is considered at nine different levels of fidelity, ranging from heavily applied filter levels that mask almost all information, to lightly applied filters that reveal almost everything. We examined how well observers of several filtered video scenes extract particular awareness cues: the number of actors; their posture (moving, standing, seated); their gender; the visible objects (basic to detailed); and how available people look (their busyness, seriousness and approachability). We also examined the privacy-preserving potential of each filter level in the context of common workplace activities. Our results suggest that the blur filter, and to a lesser extent the pixelize filter, have a level suitable for providing awareness information while safeguarding privacy.
A High-Capacity TH Multiple-Access UWB System With Performance Analysis

A flexible time-hopping (TH) multiple-access (MA) ultrawideband (UWB) system employing M-ary orthogonal pulse position modulation (PPM) is implemented and analyzed in this paper. In contrast to the conventional TH method using the fixed partition of TH slots, a new flexible TH scheme that utilizes the whole frame to carry out TH and PPM is proposed. The advantage of the proposed scheme is to increase the modulation level of PPM and improve the capability of MA. Based on the analytical CF technique, we also derive the probability distribution of the MA interference (MAI) and the average symbol error probability of the proposed scheme. Simulation results are provided to demonstrate the effectiveness of the proposed TH system and verify the analytical frameworks in both the additive white Gaussian noise (AWGN) channel and the realistic UWB fading channels. Irrespective of the adopted modulation level of PPM, the proposed TH system outperforms the conventional TH scheme. The tradeoff of the system parameters for the proposed TH system under the constraints of fixed bit rate and signal bandwidth is also examined.