7,348 research outputs found
Novel Techniques and Their Applications to Health Foods, Agricultural and Medical Biotechnology: Functional Genomics and Basic Epigenetic Controls in Plant and Animal Cells
Selected applications of novel techniques for analyzing Health Food formulations, as well as for advanced investigations in Agricultural and Medical Biotechnology aimed at defining the multiple connections between functional genomics and epigenomic, fundamental control mechanisms in both animal and plant cells are being reviewed with the aim of unraveling future developments and policy changes that are likely to open new niches for Biotechnology and prevent the shrinking or closing of existing markets. Amongst the selected novel techniques with applications in both Agricultural and Medical Biotechnology are: immobilized bacterial cells and enzymes, microencapsulation and liposome production, genetic manipulation of microorganisms, development of novel vaccines from plants, epigenomics of mammalian cells and organisms, and biocomputational tools for molecular modeling related to disease and Bioinformatics. Both
fundamental and applied aspects of the emerging new techniques are being discussed in relation to
their anticipated, marked impact on future markets and present policy changes that are needed for success in either Agricultural or Medical Biotechnology. The novel techniques are illustrated with figures presenting the most important features of representative and powerful tools which are currently being developed for both immediate and long term applications in Agriculture, Health Food formulation and production, pharmaceuticals and
Medicine. The research aspects are naturally emphasized in our review as they are key to further developments in Biotechnology; however, the course adopted for the implementation of biotechnological applications, and the policies associated with biotechnological applications are clearly the determining factors for future Biotechnology successes, be they pharmaceutical, medical or agricultural
Depinning and dynamics of AC driven vortex lattices in random media
We study the different dynamical regimes of a vortex lattice driven by AC
forces in the presence of random pinning via numerical simulations. The
behaviour of the different observables is charaterized as a function of the
applied force amplitude for different frequencies. We discuss the
inconveniences of using the mean velocity to identify the depinnig transition
and we show that instead, the mean quadratic displacement of the lattice is the
relevant magnitude to characterize different AC regimes. We discuss how the
results depend on the initial configuration and we identify new hysteretic
effects which are absent in the DC driven systems.Comment: 6 pages, 4 figure
Constraining New Physics with D meson decays
Latest Lattice results on form factors evaluation from first principles
show that the standard model (SM) branching ratios prediction for the leptonic
decays and the semileptonic SM branching ratios of the
and meson decays are in good agreement with the world average
experimental measurements. It is possible to disprove New Physics hypothesis or
find bounds over several models beyond the SM. Using the observed leptonic and
semileptonic branching ratios for the D meson decays, we performed a combined
analysis to constrain non standard interactions which mediate the transition. This is done either by a model independent way through
the corresponding Wilson coefficients or in a model dependent way by finding
the respective bounds over the relevant parameters for some models beyond the
standard model. In particular, we obtain bounds for the Two Higgs Doublet Model
Type-II and Type III, the Left-Right model, the Minimal Supersymmetric Standard
Model with explicit R-Parity violation and Leptoquarks. Finally, we estimate
the transverse polarization of the lepton in the decay and we found it
can be as high as .Comment: 28 pages, 8 figures, 3 tables. Improved and extended analysis with
updated form factors from Lattice QC
Probabilistic Load Forecasting Based on Adaptive Online Learning
Load forecasting is crucial for multiple energy management
tasks such as scheduling generation capacity, planning
supply and demand, and minimizing energy trade costs. Such
relevance has increased even more in recent years due to the
integration of renewable energies, electric cars, and microgrids.
Conventional load forecasting techniques obtain singlevalue
load forecasts by exploiting consumption patterns of past
load demand. However, such techniques cannot assess intrinsic
uncertainties in load demand, and cannot capture dynamic
changes in consumption patterns. To address these problems,
this paper presents a method for probabilistic load forecasting
based on the adaptive online learning of hidden Markov models.
We propose learning and forecasting techniques with theoretical
guarantees, and experimentally assess their performance in
multiple scenarios. In particular, we develop adaptive online
learning techniques that update model parameters recursively,
and sequential prediction techniques that obtain probabilistic
forecasts using the most recent parameters. The performance of
the method is evaluated using multiple datasets corresponding
with regions that have different sizes and display assorted
time-varying consumption patterns. The results show that the
proposed method can significantly improve the performance of
existing techniques for a wide range of scenarios.Ramon y Cajal Grant RYC-2016-19383
Basque Government under the grant "Artificial Intelligence in BCAM number EXP. 2019/00432"
Iberdrola
Foundation under the 2019 Research Grant
Displaced vertices and long-lived charged particles in the NMSSM with right-handed sneutrinos
We study LHC signatures of displaced vertices and long-lived charged particles within the context of the Next-to-Minimal Supersymmetric Standard Model with right-handed (RH) sneutrinos. In this construction the RH neutrino can be produced directly from Higgs decays or in association with a RH sneutrino when the latter is the lightest supersymmetric particle. The RH neutrino is generally long-lived, since its decay width is proportional to the neutrino Yukawa, a parameter which is predicted to be small. The RH neutrino late decay can therefore give rise to displaced vertices at the LHC, which can be identified through the decay products, which involve two leptons (2â + https://static-content.springer.com/image/art%3A10.1007%2FJHEP05%282014%29035/MediaObjects/13130_2014_8145_Figa_HTML.gifT ) or a lepton with two jets (âjj). We simulate this signal for the current LHC configuration (a centre of mass of 8 TeV and an integrated luminosity of LL = 20 fbâ1), and a future one (13 TeV and LL = 100 fbâ1). We show that a region of the parameter space of this model can be probed and that the RH neutrino mass can be reconstructed from the end-point of the two-lepton invariant mass distribution or the central value of the mass distribution for two jets plus one lepton. Another exotic signature of this construction is the production of a long-lived stau. If the stau is the next-to-lightest supersymmetric particle, it can decay through diagrams involving the small neutrino Yukawa, and would escape the detector leaving a characteristic trail. We also simulate this signal for various benchmark points and show that the model can be within the reach of the future run of the LHC
A KK-monopole giant graviton in AdS_5 x Y_5
We construct a new giant graviton solution in AdS_5 x Y_5, with Y_5 a
quasi-regular Sasaki-Einstein manifold, consisting on a Kaluza-Klein monopole
wrapped around the Y_5 and with its Taub-NUT direction in AdS_5. We find that
this configuration has minimal energy when put in the centre of AdS_5, where it
behaves as a massless particle. When we take Y_5 to be S^5, we provide a
microscopical description in terms of multiple gravitational waves expanding
into the fuzzy S^5 defined as an S^1 bundle over the fuzzy CP^2. Finally we
provide a possible field theory dual interpretation of the construction.Comment: 11 pages, published versio
- âŠ