Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of Extracellular Dopamine Clearance in the Medial Prefrontal Cortex: Role of Monoamine Uptake and Monoamine Oxidase Inhibition

In vitro rotating disk electrode (RDE) voltammetry and in vivo microdialysis were used to characterize dopamine clearance in the rat medial prefrontal cortex (mPFC). RDE studies indicate that inhibition by cocaine, specific inhibitors of the dopamine transporter (DAT) and norepinephrine transporter (NET), and low Na+ produced a 50–70% decrease in the velocity of dopamine clearance. Addition of the monoamine (MAO) inhibitors,l-deprenyl, clorgyline, pargyline, or in vivo nialamide produced 30–50% inhibition. Combined effects of uptake inhibitors with l-deprenyl on dopamine clearance were additive (up to 99% inhibition), suggesting that at least two mechanisms may contribute to dopamine clearance. Dopamine measured extracellularly 5 min after exogenous dopamine addition to incubation mixtures revealed that most conditions of DAT/NET inhibition did not produce elevated dopamine levels above controls. Inhibition of MAO produced elevated dopamine levels only after long-term, but not short-term, incubation in vitro. Short-term incubation of l-deprenyl combined with DAT and NET uptake inhibitors increased dopamine above control levels, consistent with more than one mechanism of dopamine clearance. Local infusion of pargyline (100 or 300 μm) into the mPFC or striatum via microdialysis produced more pronounced and immediate increases in mPFC dopamine levels compared with striatum. Furthermore, dopamine elevation in the mPFC was not accompanied by a decrease in the dopamine metabolites, 3,4-dihydroxyphenylacetic acid and homovanillic acid, as found in the striatum. These findings may have revealed a unique mechanism of mPFC dopamine clearance and therefore contribute to the understanding of multiple behaviors that involve mPFC dopamine transmission, such as schizophrenia, drug abuse, and working memory function.
RinsMatch: a suggestion-based instance matching system in RDF Graphs

Introduction. In this paper, we present RinsMatch (RDF Instance Match), a suggestion-based instance matching tool for RDF graphs. RinsMatch utilizes a graph node similarity algorithm and returns to the user the subject node pairs that have similarities higher than a defined threshold. If the user approves the matching of a node pair, the nodes are merged. Then more instance matching candidate pairs are generated and presented to the user based on the common predicates and neighbors of the already matched nodes. RinsMatch then reruns the similarity algorithm with the merged RDF node pairs. This process continues until there is no more feedback from the user and the similarity algorithm suggests no new matching candidate pairs. In our previous study [1], we proposed an algorithm for computation of entity similarities of an RDF graph using graph locality, neighborhood similarity, and the Jaccard measure. In the current study we use the proposed RDF entities similarity algorithm for pairing entities which may be merged if approved by the user. We make a similar assumption like the similarity flooding (SF) algorithm proposed in [2], that elements of two graphs are similar when their adjacent elements are similar. Comparing to SF, our technique requires more user interactions and more iterations for computation of entity similarity, but each time the similarity algorithm runs, it produces more accurate results assuming the user provided accurate feedback. Also, merging the RDF nodes reduces the size of the input data graph that the algorithm operates on, yielding less complexity each time.
The new marketing : transforming the corporate future

New marketing: drive the digital market or it will drive you Building the future on solid foundations: defining markets and understanding value Planning for market transformation: determining the value proposition Making the future happen: communicating and delivering value Staying on track: monitoring the value delivered Avoiding pitfalls: implementation issues Focusing on tomorrow's customer: future trends and the implications for marketing practice.
Schedulability analysis of fixed priority real-time systems with offsets

For a number of years, work has been performed in collaboration with industry to establish improved techniques for achieving and proving the system timing constraints. The specific requirements encountered during the course of this work for both uniprocessor and distributed systems indicate a need for an efficient mechanism for handling the timing analysis of task sets which feature offsets. Little research has been performed on this subject. The paper describes a new technique tailored to a set of real world problems so that the results are effective and the complexity is manageable.
Evaluation of Best First Decision Tree on Categorical Soil Survey Data for Land Capability Classification

Land capability classification (LCC) of a soil map unit is sought for sustainable use, management and conservation practices. High speed, high precision and simple generating of rules by machine learning algorithms can be utilized to construct pre-defined rules for LCC of soil map units in developing decision support systems for land use planning of an area. Decision tree (DT) is one of the most popular classification algorithms currently in machine learning and data mining. Generation of Best First Tree (BF Tree) from qualitative soil survey data for LCC reported in reconnaissance soil survey data of Wardha district, Maharashtra has been demonstrated in the present study with soil depth, slope, and erosion as attributes for LCC. A 10-fold cross validation provided accuracy of 100%. The results indicated that BF Tree algorithms had good potential in automation of LCC of soil survey data, which in turn, will help to develop decision support system to suggest suitable land use system and soil and water conservation practices.
Interferon gamma inhibits interleukin 10 production by monocytes

Interleukin 10 (IL-10) was first described for its ability to inhibit interferon gamma (IFN-gamma) production. Herein, we studied the balance between IFN-gamma and IL-10 production by human peripheral blood mononuclear cells (PBMC) in response to Staphylococcus aureus Cowan (SAC) or lipopolysaccharide (LPS). Monocyte depletion reduced IL-10 production by 90% and resulted in an increased IFN-gamma production. Addition of anti-IL-10 antibody to PBMC cultures also strongly increased IFN-gamma production. In contrast, among various cytokines, only IFN-gamma strongly reduced IL-10 synthesis by SAC- or LPS- activated PBMC and monocytes. Thus, IFN-gamma has proinflammatory effects through the combination of two mechanisms: (a) induction of early tumor necrosis factor alpha (TNF-alpha) and IL-1 beta synthesis; and (b) inhibition of the delayed production of IL-10, an inhibitor of TNF-alpha and IL-1 beta synthesis. Taken together, the present data indicate that IFN-gamma and IL-10 antagonize each other's production and function.
Video Visualization of Predictors of Emotions Dynamically Expressed by Music

Music is particularly appreciated for its capacity of evoking a large range of emotions. A growing area of research in music psychology and computer music endeavors to understand and model the role of the different constituents of music in its overall emotional impact. Whereas research so far has mainly focused on global musical and emotional descriptions, our project investigates more in detail the relationship between the dynamic evolution of musical content and the dynamic development of the resulting emotional reaction. We introduce a new method for predicting the dynamic appreciation of emotion based on audio and musical descriptions. We focus on one particular emotion: power. We propose a predictive model of the dynamic evolution of power based on several components: energy of sustained sound, pitch activity and tonal steadiness. We also introduce a new framework for visualizing, for any piece of music, the relationship between the dynamic emotion ratings and the audio and musical content playing a role in the perceived emotion.
Multi-objective optimization and comparison of multi-level DC-DC converters using convex optimization methods

Multi-level flying-capacitor converters are a promising topology for low-power applications. Conventional buck, 3- and 4-level converters have been modeled as a geometric program and optimized for loss and volume. Results show that 3- and 4-level converters are both smaller and more efficient over a wide range of design parameters.
Corrieu Low Lactate Dehydrogenase Activity-Acetolactate Decarboxylase and Have a α Diacetylactis Mutants That Are Deficient in Biovar lactis subsp . Lactococcus lactis by-Acetolactate Overproduction α Diacetyl and

Low Lactate Dehydrogenase Activity-Acetolactate Decarboxylase and Have a α Diacetylactis Mutants That Are Deficient in Biovar lactis subsp. Lactococcus lactis by-Acetolactate Overproduction α Diacetyl and
Novel Video Super Resolution Using Wavelet Transform and Key Frames/Motion Interpolation

Paper describes method that use intentional downsampling of the video sequence as part of the pre-processing step before being compressed, and the application of SR techniques as a post-processing of the compressed sequence. This scheme can be utilized as a bitrate control mechanism to optimize the overall quality of the high resolution (HR) reconstructed video. The main difference between the conventional super resolution (SR) methods and the SR for compression methods described here is that, in the latter case, the original sequence is available and, hence, the performance of the reconstruction can be evaluated. Par Key area of interest is in wireless and Real-time application, In this paper we presented a method to apply SR concepts and techniques in designing new video compression codecs. In this context, we propose a novel video decoding technique using SR. The proposed method downsample the all (not specific) picture frames of input video sequence and make low-resolution video sequence. And then encodes the low-resolution video sequence using H.264/MPEG-2. In decoding side first low resolution frame is converted to original resolution frame with a proposed SR method and other low resolution frames will be super resolved using novel motion interpolation technique or key framed based technique. This method will reduce the bit rate as compared to H.264/MPEG-2, since this method using h.264/mpeg-2 in spatially reduced video frames.
A conventional strands evaluator for DNA computations

The DNA sequence design is a crucial problem in DNA based computations. In the literature there is evidence that many input sets should not be used for real DNA computations. This approach might lead to high probabilities of incurring in biological faults which make computations unsafe. In this paper we present an intermediate tool between strand logical design and practical computations, that allows scientists to approach in-vitro computations reducing the probability of biological mistakes in the phase of theoretical input design for practical computations.
An effective key management scheme for mobile heterogeneous sensor networks

The use of Wireless Sensor Networks (WSNs) has got great importance in many applications ranging from home and industrial applications to more sensitive military applications. In mobility context, such applications introduce new technological challenges for security. The resource constrained devices should be protected from various security attacks and provided with secure data communication. To this aim, a proper key management scheme supporting node mobility is required. In this paper, we present an effective key management scheme that can support node mobility in the heterogeneous sensor networks that consists of mobile sensor nodes with few fixed sensor nodes. The analytical and OMNET++ simulation results of our proposed scheme shows that it provides better network connectivity, consume less memory and has better network resilience against attacks.
One dimensional electroseismic modeling using the finite element method . Technical Report Submitted to REPSOL-YPF . Part I .

This work presents a finite element procedure for the numerical approximation of the electrosesimic problem at seismic frequencies. The electroseismic equations used are the ones derived by S. Pride, consisting in the coupled Biot’s equations of motion and Maxwell equations where the seismoelectric feeedback is being neglected. The modeled domain comprises two half-spaces, one being air, and the other one a horizontally layered medium. The chosen electromagnetic source is an infinite plane of time dependent electric current located above the surface of the Earth. Under these two assumptions, the electric and magnetic fields and the solid and fluid displacements depend only on one coordinate, namely the one chosen to describe the vertical variations of the Earth; therefore the problem can be considered to be one dimensional. The existence of a unique solution for both the continuous and discrete weak problems is analyzed, considering a finite computational domain by recoursing to absorbing boundary conditions. The finite element procedure is carried out by using C linear functions for the electric field and the solid displacementes, and piecewise constant functions for the magnetic field and fluid displacements, respectively. Examples showing the capabilities of the numerical method are presented.
A secure architecture design based on code minimization and application isolation

With fast evolving attacks, using software patches for fixing software bugs is not enough as there are often considerable delays in their application to vulnerable systems and the at­ tackers may find other vulnerabilities to exploit. A secure architecture design that provides robust protection against malware must be guided by strong security design princi­ ples. In this work, we propose a system design based on the security principles that aim at achieving isolation and reducing attack surface. Our design leverages multi-core ar­ chitecture to enforce physical isolation between application processes so that a malicious or infected application is un­ able to affect other parts of the system. Further, we signifi­ cantly reduce the software attack surface by executing each application on its own customized operating system image that is minimized to only contain code required by the given application.
Preclinical Development and In Vivo Efficacy of Ceftiofur-PLGA Microparticles

Drug delivery systems based on polymeric microparticles represent an interesting field of development for the treatment of several infectious diseases for humans and animals. In this work, we developed PLGA microparticles loaded with ceftiofur (PLGA-cef), a third- generation cephalosporin that is used exclusively used in animals. PLGA-cef was prepared by the double emulsion w/o/w method, and exhibited a diameter in the range of 1.5–2.2 μm, and a negative ζ potential in the range of -35 to -55 mV. The loading yield of PLGA-cef was ~7% and encapsulation efficiency was approximately 40%. The pharmacokinetic study demonstrated a sustained release profile of ceftiofur for 20 days. PLGA-cef administrated in a single dose was more effective than ceftiofur non-encapsulated in rats challenged with S. Typhimurium. The in vivo toxicological evaluation showed that PLGA-cef did not affect the blood biochemical, hematological and hemostasis parameters. Overall, the PLGA-cef showed slow in vivo release profile, high antibacterial efficacy, and low toxicity. The results obtained supports the safe application of PLGA-cef as sustained release platform in the veterinary industry.
Performance study of large block forward error correction with random early detection queue policy

In this paper, we report an investigation on performance of the forward error correction (FEC) with random early detection (RED) queuing policy. FEC is a technique that uses redundant packet to reconstruct the dropped packet, while RED is an active queue management algorithm. It monitors the average queue size and drops arriving packets probabilistically, the probability of drop increases as the estimated average queue size grows. In the investigation we consider simulation settings with varies size of the queue buffer. Results obtained from the simulation experiments show that FEC and queue size affect the performance the network. Consequently, the qualities of multimedia applications are also affected.
Platelets induce differentiation of human CD34+ progenitor cells into foam cells and endothelial cells

Recruitment of human CD34+ progenitor cells toward vascular lesions and differentiation into vascular cells has been regarded as a critical initial step in atherosclerosis. Previously we found that adherent platelets represent potential mediators of progenitor cell homing besides their role in thrombus formation. On the other hand, foam cell formation represents a key process in atherosclerotic plaque formation. To investigate whether platelets are involved in progenitor cell recruitment and differentiation into endothelial cells and foam cells, we examined the interactions of platelets and CD34+ progenitor cells. Cocultivation experiments showed that human platelets recruit CD34+ progenitor cells via the specific adhesion receptors P‐selectin/PSGL‐1 and β1‐ and β2‐integrins. Furthermore, platelets were found to induce differentiation of CD34+ progenitor cells into mature foam cells and endothelial cells. Platelet‐induced foam cell generation could be prevented partially by HMG coenzyme A reductase inhibitors via reduction of matrix metallo‐proteinase‐9 (MMP‐9) secretion. Finally, agonists of peroxisome proliferator‐activated receptor‐α and ‐γ attenuated platelet‐induced foam cell generation and production of MMP‐9. The present study describes a potentially important mechanism of platelet‐induced foam cell formation and generation of endothelium in atherogenesis and atheroprogression. The understanding and modulation of these mechanisms may offer new treatment strategies for patients at high risk for atherosclerotic diseases. —Daub, K. , Langer, H. , Seizer, P., Stellos, K. , May, A. E. , Goyal, P., Bigalke, B. , Schönberger, T. , Geisler, T. , Siegel‐Axel, D. , Oostendorp, R. A. J., Lindemann, S. , Gawaz, M. Platelets induce differentiation of human CD34+ progenitor cells into foam cells and endothelial cells. FASEB J. 20, E1935–E1944 (2006)
OPTIMIZATION OF EDGE DETECTORS FOR TOPOGRAPHIC MAPS OF CAVE INSCRIPTIONS

We propose an optimization-based framework for designing linear edge detectors for topographic maps of cave inscriptions. This optimization framework requires an edge model, which is constructed from sample images. The optimization criteria are described and genetic algorithms are employed in an iterative fashion for finding optimal edge detectors. Thus, the optimization framework consists roughly of three steps: modeling a representative edge, forming the objective function for optimization, and choosing the optimization method. An additional preprocessing step is also described for removing special types of noise before applying the edge detectors. Simulation results are presented to illustrate the performance of our method on sample topographic maps.
Adaptive Algorithms in Finite Form

We propose a new method for the design of adaptation algorithms that guarantees a certain prescribed level of performance and applicable to systems with nonconvex parameterization. The main idea behind the method is two-fold. First, we augment the tuning error function and design the adaptation scheme in the form of ordinary diﬀerential equations. The resulting augmentation is allowed to depend on state derivatives. Second, we ﬁnd a suitable realization of the designed adaptation scheme in an algebraic-integral form. Due to their explicit dependence on the state of the original system, such adaptation schemes are referred to as adaptive algorithms in ﬁnite form , in contrast to (conventional) algorithms in diﬀerential form. Suﬃcient conditions for the existence of ﬁnite form realizations are proposed. It is shown that our method to design algorithms in ﬁnite form is applicable to a broad class of nonlinear systems including systems with nonconvex parameterization and low-triangular systems.
Nonspecific Association of a 17 kDa Isoform of the Myelin Basic Protein with the Postsynaptic Density Fraction

The postsynaptic density (PSD), a large protein complex beneath the postsynaptic membrane, is notorious for its 'stickiness'. In order to understand the molecular composition of the PSD fraction, a 17 kDa protein band was isolated by electroelution from SDS-geis, and its partial amino acid sequence was determined from HPLC-purified tryptic peptides of the protein. Surprisingly, the amino acid sequence was identical to that of the previously reported 17 kDa isoform of the myelin basic protein (MBP), an essential protein in CNS myelin formation. Since the protein band represented ~2% of the total proteins in the 1 % n-octyl glucoside-insoluble PSD fraction, these results indicate that a significant amount of the 17 kDa isoform of MBP is tightly associated with the PSD during preparation of the PSD fraction.
Frequency Domain Channel Estimation and Detection for Impulse Radio Systems

This paper deals with channel estimation, and detection in ultra wide band (UWB) bi-phase impulse modulated systems. We address the single user and the multiuser scenario assuming a direct sequence spreading code division multiple access (DS-CDMA) scheme. The channel estimation and detection approach is single user based, and operates in the frequency domain. In the presence of multiple access interference (MAI) the algorithm is appropriately modified to include the capability of canceling the interference through the exploitation of its frequency domain correlation. The approach can be extended to time-hopped impulse radio systems. Keywords—CDMA, Channel estimation, Frequency domain processing, Impulse modulation, Interference Cancellation, Multiuser Detection, Synchronization, Ultra wide band (UWB).
Stratification and isotope separation in CP stars

We investigate the elemental and isotopic stratification in the atmospheres of selected chemically peculiar (CP) stars of the upper main sequence. Reconfiguration of the UV-Visual Echelle Spectrograph in 2004 has made it possible to examine all three lines of the Ca II infrared (IR) triplet. Much of the material analysed was obtained in 2008. We support the claim of Ryabchikova, Kochukhov & Bagnulo (RKB) that the calcium isotopes have distinct stratification profiles for the stars 10 Aql, HR 1217 and HD 122970, with the heavy isotope concentrated towards the higher layers. Better observations are needed to learn the extent to which 40 Ca dominates in the deepest layers of all or most CP stars that show the presence of 48 Ca. There is little evidence for 40 Ca in the spectra of some HgMn stars, and the infrared (IR) triplet in the magnetic star HD 101065 is well fit by pure 48 Ca. In HR 5623 (HD 133792) and HD 217522, it is likely that the heavy isotope dominates, though models are possible where this is not the case. While elemental stratification is surely needed in many cases, we point out the importance of including adjustments in the assumed T eff and log (g) values, in attempts to model stratification. We recommend emphasis on profiles of the strongest lines, where the influence of stratification is most evident. Isotopic mixtures, involving the four stable calcium nuclides with masses between 40 and 48 are plausible, but are not emphasized.