Miracle-dz/UniFAR-FTUs huggingface dataset:
Equivalence of Hamiltonian and Lagrangian path integral quantization: Effective gauge theories.

The HLE theorem is proven for effective Lagrangians with arbitrary interactions of scalars, fermions, massless and massive vector bosons. This theorem states that the correct Hamiltonian path intergral formalism is equivalent to the convenient Lagrangian path integral ansatz. In particular, this theorem is valid for effective gauge theories, which justifies Faddeev-Popov quantization of these theories. Specific attention is paid to effective interactions of massive vector fields, which can be embedded within gauge noninvariant theories or within spontaneously broken gauge theories. These different types of models are related to each other by the Stuckelberg formalism, which is reformulated within the Hamiltonian formalism. Effective Lagrangians with higher derivatives of the fields are also considered. The HLE theorem is even valid in this case because each effective higher-order Lagrangian can be reduced to a first-order one by applying the equations of motion to the effective interaction term. This thesis is essentially a combination of previous publications of the author.
Effects of Assisted Reproduction Technology on Placental Imprinted Gene Expression

We used placental tissue to compare the imprinted gene expression of IGF2, H19, KCNQ1OT1, and CDKN1C of singletons conceived via assisted reproduction technology (ART) with that of spontaneously conceived (SC) singletons. Of 989 singletons examined (ART n = 65; SC n = 924), neonatal weight was significantly lower (P < .001) in the ART group than in the SC group, but placental weight showed no significant difference. Gene expression analyzed by real-time PCR was similar for both groups with appropriate-for-date (AFD) birth weight. H19 expression was suppressed in fetal growth retardation (FGR) cases in the ART and SC groups compared with AFD cases (P < .02 and P < .05, resp.). In contrast, CDKN1C expression was suppressed in FGR cases in the ART group (P < .01), while KCNQ1OT1 expression was hyperexpressed in FGR cases in the SC group (P < .05). As imprinted gene expression patterns differed between the ART and SC groups, we speculate that ART modifies epigenetic status even though the possibilities always exist.
Methods for Mining Cross Level Association Rule In Taxonomy Data Structures

Mining of association rules mainly focuses at a single conceptual level. In a large database of transaction, where each transaction consists of a set of items, and taxonomy on items, it is required to find out the associations at multiple conceptual levels. In this paper, multilevel association rule mining algorithms have been evaluated and compared. And we will discover additional strong association rules in taxonomy data items. The performance indices used for performance comparisons are minimum support threshold at different levels and varying number of transactions.
Differential inhibition of activity, activation and gene expression of MMP-9 in THP-1 cells by azithromycin and minocycline versus bortezomib: A comparative study

Gelatinase B or matrix metalloproteinase-9 (MMP-9) (EC 3.4.24.35) is increased in inflammatory processes and cancer, and is associated with disease progression. In part, this is due to MMP-9-mediated degradation of extracellular matrix, facilitating influx of leukocytes into inflamed tissues and invasion or metastasis of cancer cells. MMP-9 is produced as proMMP-9 and its propeptide is subsequently removed by other proteases to generate proteolytically active MMP-9. The significance of MMP-9 in pathologies triggered the development of specific inhibitors of this protease. However, clinical trials with synthetic inhibitors of MMPs in the fight against cancer were disappointing. Reports on active compounds which inhibit MMP-9 should be carefully examined in this regard. In a considerable set of recent publications, two antibiotics (minocycline and azythromycin) and the proteasome inhibitor bortezomib, used in cancers, were reported to inhibit MMP-9 at different stages of its expression, activation or activity. The current study was undertaken to compare and to verify the impact of these compounds on MMP-9. With exception of minocycline at high concentrations (>100 μM), the compounds did not affect processing of proMMP-9 into MMP-9, nor did they affect direct MMP-9 gelatinolytic activity. In contrast, azithromycin specifically reduced MMP-9 mRNA and protein levels without affecting NF-κB in endotoxin-challenged monocytic THP-1 cells. Bortezomib, although being highly toxic, had no MMP-9-specific effects but significantly upregulated cyclooxygenase-2 (COX-2) activity and PGE2 levels. Overall, our study clarified that azithromycin decreased the levels of MMP-9 by reduction of gene and protein expression while minocycline inhibits proteolytic activity at high concentrations.
FLIRT - Interest regions for 2D range data

Local image features are used for a wide range of applications in computer vision and range imaging. While there is a great variety of detector-descriptor combinations for image data and 3D point clouds, there is no general method readily available for 2D range data. For this reason, the paper first proposes a set of benchmark experiments on detector repeatability and descriptor matching performance using known indoor and outdoor data sets for robot navigation. Secondly, the paper introduces FLIRT that stands for Fast Laser Interest Region Transform, a multi-scale interest region operator for 2D range data. FLIRT combines the best detector with the best descriptor, experimentally found in a comprehensive analysis of alternative detector and descriptor approaches. The analysis yields repeatability and matching performance results similar to the values found for features in the computer vision literature, encouraging a wide range of applications of FLIRT on 2D range data. We finally show how FLIRT can be used in conjunction with RANSAC to address the loop closing/global localization problem in SLAM in indoor as well as outdoor environments. The results demonstrate that FLIRT features have a great potential for robot navigation in terms of precision-recall performance, efficiency and generality.
The Free Zinc Concentration in the Synaptic Cleft of Artificial Glycinergic Synapses Rises to At least 1 μM

Zn2+ is concentrated into presynaptic vesicles at many central synapses and is released into the synaptic cleft by nerve terminal stimulation. There is strong evidence that synaptically released Zn2+ modulates glutamatergic neurotransmission, although there is debate concerning the peak concentration it reaches in the synaptic cleft. Glycine receptors (GlyRs), which mediate inhibitory neurotransmission in the spinal cord and brainstem, are potentiated by low nanomolar Zn2+ and inhibited by micromolar Zn2+. Mutations that selectively ablate Zn2+ potentiation result in hyperekplexia phenotypes suggesting that Zn2+ is a physiological regulator of glycinergic neurotransmission. There is, however, little evidence that Zn2+ is stored presynaptically at glycinergic terminals and an alternate possibility is that GlyRs are modulated by constitutively bound Zn2+. We sought to estimate the peak Zn2+ concentration in the glycinergic synaptic cleft as a means of evaluating whether it is likely to be synaptically released. We employed ‘artificial’ synapses because they permit the insertion of engineered α1β GlyRs with defined Zn2+ sensitivities into synapses. By comparing the effect of Zn2+ chelation on glycinergic IPSCs with the effects of defined Zn2+ and glycine concentrations applied rapidly to the same recombinant GlyRs in outside-out patches, we inferred that synaptic Zn2+ rises to at least 1 μM following a single presynaptic stimulation. Moreover, using the fast, high-affinity chelator, ZX1, we found no evidence for tonic Zn2+ bound constitutively to high affinity GlyR binding sites. We conclude that diffusible Zn2+ reaches 1 μM or higher and is therefore likely to be phasically released in artificial glycinergic synapses.
Quantifying hardware counter sampling error in computer system workload characterization

This technical report explores workload characterization using processor hardware counter sampling. We assume that we are measuring more hardware counter events than the number of physical counters on the processor, i.e., the counters are set to measure different events after every measurement. We characterize workloads on typical timescales between 5 and 30 minutes, with different phasing properties. We evaluate two competing strategies, a short sample time strategy designed to minimize overhead and a long sample time strategy designed to get better averaging. We find that both strategies are likely to produce accurate results, independent of underlying workload phasing, but neither strategy is ideal. We find that the optimal strategy is a fairly short sample time combined with continuous iteration over the counter set.
On the errors and comparison of Vega estimation methods

This article discusses convergence problems when calculating Vega (option sensitivity to volatility) that arise from discretization errors embedded in the lattice approach. Four alternative improvements to the traditional binomial method are discussed and investigated for performance. We also propose a new Modified Binomial (MB) Method to calculate Vegas. Numerical results show that although the MB is not the most price accurate of the models, due to its error structure as a function of volatility, it produces the most accurate and fastest Vega estimates. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:21–38, 2005
Improvements of speed adaptation response for IPMSM position sensorless vector control with parallel feedforward compensator

This paper proposes improvements of speed adaptation response for Interior Permanent Magnet Synchronous Motors (IPMSMs) position sensorless vector control using a parallel feedforward compensator. Position sensorless control based on an adaptive observer is known to cause delay in the speed adaptation response since gain characteristics on the speed adaptation are reduced in high frequency range, and some studies on improvement of speed estimation response have been done so far. These approaches, however, tend to cause problems of increasing computational complexity. This paper demonstrates the effectiveness of the adaptive observer with the assistance of the proposed parallel feedforward compensator for improvements of speed adaptation response. This parallel feedforward compensator is the only component as an additional controller, and is constructed by an band-pass filter. Hence, the proposed method would be highly practical since the additional component requires less computational effort. In addition, this paper also proposes the bode-diagram based design strategy for some parameters in the proposed parallel feedforward compensator. Finally, the some experimental results show the feasibility and effectiveness of the proposed method.
Fatty Acid Composition and Sensory Characteristics of Eggs Obtained from Hens Fed Flaxseed Oil, Dried Whitebait and/or Fructo-oligosaccharide

This study was conducted to assess the effects of flaxseed oil and dried whitebait as a source of ω-3 fatty acids (ω-3 FA), which could be used to produce eggs enriched with ω-3 FA, and of fructo-oligosaccharide (FOS) as a source of prebiotics on performance of hens (commercial Hy-Line Brown laying hens), and FA composition, internal quality, and sensory characteristics of the eggs. Dietary FOS increased egg weight. The amounts of α-linolenic (ALA), eicosapentaenoic (EPA) and docosahexaenoic acids (DHA) in the eggs from the hens fed the flaxseed oil alone or flaxseed oil+dried whitebait diets were higher than those of the control. Hedonic scores for off-flavor, fishy flavor, buttery taste and overall acceptability of the eggs from the hens fed the diet containing flaxseed oil+ dried whitebait were lower (p<0.05) than those of the control. Overall acceptability of the eggs from the hens fed the diet containing soybean oil+dried whitebait was lower (p<0.05) than that of the control. However, all the sensory attributes of the eggs from the hens fed the diet containing flaxseed oil, dried whitebait and FOS were not significantly different from those of the control. These results confirmed that flaxseed oil increases the ALA content in the eggs and a combination of flaxseed oil and dried whitebait increases EPA and DHA in the eggs. Of significance was that addition of FOS to the flaxseed oil+dried whitebait diet improves the sensory characteristics of the eggs enriched with ω-3 FA.
Statistical Evaluation of TCP Packet Loss Rate Estimation

Packet sampling techniques have recently attracted much attention as a solution to the traffic measurement in high-speed networks, where large processing cost is incurred when monitoring the behaviors of a large number of sessions. We have proposed a method for estimating TCP packet loss rate from sampled packets and have evaluated the method through simulations and experiments. Results of those evaluations showed that the proposed method accurately estimates the TCP packet loss rate from a sampling of 10% of the TCP packets. The estimation accuracy depends on the input parameters, such as sampling probability and iteration number of the algorithm, for the estimation function. In this paper we clarify the properties of each parameter by statistical evaluation and show that the proposed method is sufficiently accurate in typical applications under practical conditions
Performance analysis of general pilot-aided linear channel estimation in LTE OFDMA systems with application to simplified MMSE schemes

In this paper we provide a general framework for the performance analysis o pilot-aided linear channel estimators class including the general interpolation, least squares (LS), regularized LS, minimum-mean-squared-error (MMSE) and approximated MMSE estimators. The analysis is performed from the perspective of Long Term Evolution Orthogonal Frequency Division Multiple Access (LTE OFDMA) down-link systems. We also propose two novel modified MMS schemes, an Exponential Mismatched MMSE and a Simplified MMSE, to overcome the high implementation complexity of the MMSE and offering improvements to other known approximated methods. At the end, we verify the analytical results by means of Monte-Carlo simulations in terms of Normalized Mean Square Error (NMSE) and coded Bit Error Rate (BER).
Spread Spectrum Embedding of Colluder Traceable Codeword in Multimedia

With digital multimedia distribution, intellectual property rights (IPR) are at a more risk than ever, due to the possibility of unlimited copying without fidelity loss. Encryption and copy protection mechanisms do not fully efficiently deal with the issue. Encryption usually protects the data only on the transport channel, and as soon as the data are decrypted for exhibit or playback, they can be copied. Copy protection mechanisms are difficult to realize in open systems as data are open to all. Thus, both encryption and copy protection offer only limited security. Watermarking has been proposed as a last line of defense in the protection of IPR. Watermarking methods embed information irremovably and invisibly into the host data. The watermark typically contains information about source and recipient of the distributed data. Thus, if pirated copies of the data are distributed, it can still be determined who owns the copyright and who the original, authorized recipient was. Thus, it allows tracing back illegally produced copies of the data. In the time of watermarking it is possible to assign some unique codeword to every copy to be distributed, by which it is possible to detect any alteration made to the watermarked copy. This paper presents spread spectrum watermarking of a specially designed colluder traceable codeword with help of combinatorial design in digital image.
Adult-Onset Fluoxetine Treatment Does Not Improve Behavioral Impairments and May Have Adverse Effects on the Ts65Dn Mouse Model of Down Syndrome

Down syndrome is caused by triplication of chromosome 21 and is associated with neurocognitive phenotypes ranging from severe intellectual disability to various patterns of more selective neuropsychological deficits, including memory impairments. In the Ts65Dn mouse model of Down syndrome, excessive GABAergic neurotransmission results in local over-inhibition of hippocampal circuits, which dampens hippocampal synaptic plasticity and contributes to cognitive impairments. Treatments with several GABAA receptor antagonists result in increased plasticity and improved memory deficits in Ts65Dn mice. These GABAA receptor antagonists are, however, not suitable for clinical applications. The selective serotonin reuptake inhibitor fluoxetine, in contrast, is a widely prescribed antidepressant that can also enhance plasticity in the adult rodent brain by lowering GABAergic inhibition. For these reasons, we wondered if an adult-onset 4-week oral fluoxetine treatment restores spatial learning and memory impairments in Ts65Dn mice. Fluoxetine did not measurably improve behavioral impairments of Ts65Dn mice. On the contrary, we observed seizures and mortality in fluoxetine-treated Ts65Dn mice, raising the possibility of a drug × genotype interaction with respect to these adverse treatment outcomes. Future studies should re-address this in larger animal cohorts and determine if fluoxetine treatment is associated with adverse treatment effects in individuals with Down syndrome.
From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain

This paper presents a complete processing chain for decoding intracranial data recorded in the cortex of a monkey and replicates the associated movements on a JACO robotic arm by Kinova. We developed specific modules inside the OpenViBE platform in order to build a Brain-Machine Interface able to read the data, compute the position of the robotic finger and send this position to the robotic arm. More pre- cisely, two client/server protocols have been tested to transfer the finger positions: VRPN and a light protocol based on TCP/IP sockets. According to the requested finger position, the server calls the associ- ated functions of an API by Kinova to move the fin- gers properly. Finally, we monitor the gap between the requested and actual fingers positions. This chain can be generalized to any movement of the arm or wrist.
Extraction of pitch in adverse conditions

The paper proposes a method for the extraction of pitch in adverse conditions. The real environment, in which degradation is due to several unpredictable sources, like additive noise, reverberation and channel noise, is treated as an adverse condition. The proposed method is based on knowledge of glottal closure (GC) events. A GC event is the instant at which closure of vocal folds takes place within a pitch period. The Hilbert envelope of the linear prediction (LP) residual gives information about the location of GC events. Autocorrelation analysis is performed on the Hilbert envelope of the LP residual. The properties of the Hilbert envelope of the LP residual are exploited for the extraction of pitch from the autocorrelation sequence. The results of the proposed method are compared with the simple inverse filtering technique (SIFT) algorithm. The performance of the proposed algorithm is found to be superior, even in adverse conditions.
Distributed Scheduling Algorithms for Crosspoint-Buffered Switches

Given the rapid increase in traffic, greater demands have been put on high-speed switching systems. Such systems have to simultaneously meet several constraints, e.g., high throughput, low delay and low complexity. This makes it challenging to design an efficient scheduling algorithm, and has consequently drawn considerable research interest. However, previous results either cannot provide a $100\%$ throughput guarantee without a speedup, or require a complex centralized scheduler. In this paper, we design a {\it distributed} $100 \%$ throughput algorithm for crosspoint buffered switches, called DISQUO, with very limited message passing. We prove that DISQUO can achieve $100\%$ throughput for any admissible Bernoulli traffic, with a low time complexity of $O(1)$ per port. To the best of our knowledge, it is the first distributed algorithm that can provide a $100\%$ throughput for a crosspoint buffered switch.
A Novel Analysis on Low-Power High-Performance Flip-Flops

The fast growth of the power density in integrated circuits has made area and power dissipation as the vital design measures. In this paper, several different flip-flop topologies are analyzed and an area, power efficient flip-flop design is proposed. This design overcomes the power dissipation due to the large precharge node capacitance, with reduced number of transistors. The comparative power analysis and performance improvements indicate that the proposed design is suitable for high-performance digital designs where the area and power dissipation is of major concern. The simulation results are verified using tanner v7.0 tool. The performance comparisons are made using CMOS0. 18μm technology. General Terms Flip-flops, low power, less transistors
From Modeling / Simulation with Scilab / Scicos to Optimized Distributed Embedded Real-Time Implementation with SynDEx

This paper presents the AAA methodology and its systemlevel CAD software SynDEx, used to optimize the implementation of distributed embedded real-time applications, and how coupling this software with the scientific software package and the dynamic systems modeler and simulator Scilab/Scicos, allows to provide a seamless flow which improves the design safety, and decreases the development cycle thanks to functional and timing simulations, as well as automatic code genera-
ON THE INTEGRATION OF LARGE DATABANKS BY A POWERFUL CATALOGUING METHOD

The integration of huge, disparate information sources has been an outstanding issue for more than a decade. Having realized that the dissimilarity of sources even with the same or related subject is manifold and difficult to tackle, constructing mediators and wrappers has become the common practice. Although under certain circumstances this approach delivers satisfactory results, it lacks the most important property: scalability. Furthermore, it gives no support for discovering similarity, which is often needed whenever no exact match can be returned for a particular search condition. For these reasons we address the problem of true unification of data sources in the present paper. We assume that the sources share a common schema, i.e. the main objective is the identification of compatible or identical entities. Our novel method accomplishes this task by automatically establishing a catalogue of data elements. Each category of the catalogue holds a set of compatible or identical items. This organization structure has two advantages: there is an intrinsic, fast lookup method, and similarity among data elements can be defined. We prove that the catalogue is theoretically computable even if the schema contains derived attributes.
An effective deadlock prevention policy using elementary siphons of Petri nets for FMS

This paper largely presents a deadlock prevention policy for automated flexible manufacturing systems. Based on Petri nets and some investigations on siphons, this policy is targeted at one modeled manufacturing system extended from system of simple sequential process. Given a net, elementary and dependent siphons can be obtained from the strict minimal siphons. Our deadlock control method is an iterative one by adding two kinds of control places called ordinary control place and weighted control place to the original net to prevent elementary siphons from being unmarked, under some conditions the dependent siphons can be prevented from being emptied as well. Finally, a flexible manufacturing example is presented to illustrate our deadlock prevention policy.