5 year Integrated MS

The use of finite harmonic oscillator spaces in many-body calculations introduces both infrared (IR) and ultraviolet (UV) errors. The IR effects are well approximated by imposing a hard-wall boundary condition at a properly identified radius L eff. We show that duality of the oscillator implies that the UV effects are equally well described by imposing a sharp momentum cutoff at a momentum Λ eff complementary to L eff. By considering two-body systems with separable potentials, we show that the UV energy corrections depend on details of the potential, in contrast to the IR energy corrections, which depend only on the S-matrix. An adaptation of the separable treatment to more general interactions is developed and applied to model potentials as well as to the deuteron with realistic potentials. The previous success with a simple phenomenological form for the UV error is also explained. Possibilities for controlled extrapolations for A > 2 based on scaling arguments are discussed.

We investigate two distinct sources of uncertainty in low-energy nuclear physics calculations and develop ways to account for them. Harmonic oscillator basis expansions are widely used in ab-initio nuclear structure calculations. Finite computational resources usually require that the basis be truncated before observables are fully converged, necessitating reliable extrapolation schemes. We show that a finite oscillator basis effectively imposes a hard-wall boundary condition. We accurately determine the position of the hard-wall as a function of oscillator space parameters, derive extrapolation formulas for the energy and other observables, and discuss the extension of this approach to higher angular momentum. Nucleon knockout reactions have been widely used to study and understand nuclear properties. Such an analysis implicitly assumes that the effects of the probe can be separated from the physics of the target nucleus. This factorization between nuclear structure and reaction co...

A model calculation of deuteron electrodisintegration is used to explore renormalization group (RG) scale dependence for knock-out reactions. When evolved to different resolutions with the similarity RG (SRG), the initial deuteron wave function, the current operator, and the final state interactions (FSI) are all modified, but how they combine depends strongly on the kinematic region. In some regions, for example, the FSI are largely unaffected by evolution, while elsewhere FSI are greatly reduced. For certain kinematics, the impulse approximation at a high RG resolution gives an intuitive picture in terms of a one-body current breaking up a short-range correlated neutron-proton pair, although FSI distort this simple picture. With evolution to low resolution, however, the cross section is unchanged but a very different and arguably simpler intuitive picture emerges, with the evolved current efficiently represented at low momentum through derivative expansions or low-rank singular va...

Continuum theories of spontaneous pattern formation at solid surfaces during ion irradiation exist in many variants, but all of them are based upon low order gradient expansions of an underlying non-local theory and are formulated as partial differential equations. Here we reconsider the non-local theory based upon a simple Gaussian erosive crater function of Sigmund's theory of sputtering, which is also a basic ingredient of most of the existing continuum theories. We keep the full non-locality of the crater function in a linear stability analysis of a flat surface. Without gradient expansion the evolution of the height profile is governed by an integral equation. We show that low order gradient expansions may be misleading and that the bifurcation scenarios become significantly more complex, if the non-locality is taken into account. In a second step, we extend our analysis and include mass redistribution due to ioninduced drift currents of collision cascade atoms. The model is based upon results from kinetic theory and uses a simple phenomenology. Both erosion and mass redistribution share the same non-local features, as they are both caused by the collision cascade. If mass redistribution is the dominant pattern forming mechanism, we show that the resulting bifurcation scenarios may provide explanations for many of the recent, seemingly contradictory experimental results of pattern formation on Si surfaces.

Recent work has demonstrated that the infrared effects of harmonic oscillator basis truncations are well approximated by a partial-wave Dirichlet boundary condition at a properly identified radius L. This led to formulas for extrapolating the corresponding energy EL and other observables to infinite L and thus infinite basis size. Here we reconsider the energy for a two-body system with a Dirichlet boundary condition at L to identify and test a consistent and systematic expansion for EL that depends only on observables. We also generalize the energy extrapolation formula to nonzero angular momentum, and apply it to the deuteron. Formulas given previously for extrapolating the radius are derived in detail.

Renormalization group (RG) methods used to soften Hamiltonians for nuclear many-body calculations change the effective resolution of the interaction. For nucleon knockout processes, these RG transformations leave cross sections invariant, but initial-state wave functions, interaction currents, and final-state interactions are individually altered. This has implications for the factorization of nuclear structure and reactions. We use deuteron electrodisintegration as a controlled laboratory for studying how structure and reaction components are modified under RG evolution, without the complication of three-body forces or currents. The dependence of these changes on kinematics is explored.

group (RG) methods used to soften Hamiltonians for nuclear many-body calculations change the effective resolution of nuclei. For nucleon knockout processes, these RG transformations leave cross sections invariant but initial wave functions, interaction currents, and final state interactions are individually altered. We use Deuteron electrodisintegration as a controlled theoretical laboratory for studying how these nuclear structure and reaction components are modified with changes in the resolution of the Hamiltonians. The implications for factorizing structure and reactions will also be discussed.

Log and square root transformations of target variable are routinely used in forecasting models to predict future sales. These transformations often lead to better performing models. However, they also introduce a systematic negative bias (under-forecasting). In this paper, we demonstrate the existence of this bias, dive deep into its root cause and introduce two methods to correct for the bias. We conclude that the proposed bias correction methods improve model performance (by up to 50%) and make a case for incorporating bias correction in modeling workflow. We also experiment with 'Tweedie' family of cost functions which circumvents the transformation bias issue by modeling directly on sales. We conclude that Tweedie regression gives the best performance so far when modeling on sales making it a strong alternative to working with a transformed target variable.

Malaria is one of the most deadly diseases infecting humans. Advances in elimination and vector control have reduced the global malaria burden in the past decade; however, the emerging threat of drug resistance and suboptimal vaccine efficacies threaten global eradication efforts. Unlocking novel drug and vaccine targets while simultaneously mitigating spread of resistant strains seems to be the need of the hour. Protein-protein interactions (PPIs), an integral part of hostpathogen cross-talk and parasite survival, have only recently emerged as promising drug targets. Large PPI networks (interactome) are being developed to better our understanding of various parasite biochemical pathways. In this chapter, we throw light on several newly characterized protein-protein interactions between the host (humans) and parasite (plasmodium) in key processes such as hemoglobin degradation, enzyme regulation, protein export, egress, invasion, and drug resistance and further discuss their viability for development as novel chemotherapeutic targets.

Malaria is one of the most deadly diseases infecting humans. Advances in elimination and vector control have reduced the global malaria burden in the past decade; however, the emerging threat of drug resistance and suboptimal vaccine efficacies threaten global eradication efforts. Unlocking novel drug and vaccine targets while simultaneously mitigating spread of resistant strains seems to be the need of the hour. Protein-protein interactions (PPIs), an integral part of hostpathogen cross-talk and parasite survival, have only recently emerged as promising drug targets. Large PPI networks (interactome) are being developed to better our understanding of various parasite biochemical pathways. In this chapter, we throw light on several newly characterized protein-protein interactions between the host (humans) and parasite (plasmodium) in key processes such as hemoglobin degradation, enzyme regulation, protein export, egress, invasion, and drug resistance and further discuss their viability for development as novel chemotherapeutic targets.

We present an important correction to the Langer-Ambegaokar-McCumber-Halperin theory for the resistive state of a 1D superconductor. We establish that the identification of the saddle on the free energy surface over which Langer and Ambegaokar had claimed the system to move in order to form thermally excited phase slip centres is wrong. With the help of an exact solution we show that the system has to overcome a similar free energy barrier but can actually have vanishing amplitude of superconducting phase at a point unlike the Langer-Ambegaokar solution.

A thiol-selective 2-methyl-3-phenacrylate scaffold with spatiotemporal control over delivery of a cargo is reported. The half-lives of decomposition could be tuned from 30 min to 1 day and the scaffold's utility in thiol-inducible fluorophore release in cell-free as well as within cells is demonstrated.

Cells modify their shape in response to the extracellular environment through dynamic remodeling of the actin cytoskeleton by actin-binding proteins (ABPs) 1–4. The relation between actin dynamics and spreading is well-understood for cells on flat glass coverslips; much less is known about cell morphogenesis in compliant three-dimensional environments, and, in particular, how ABPs contribute to this process 5. Here, we knocked-out a diverse set of ABPs, and evaluated the effect of each on cell spreading on planar glass surfaces (2D) and in reconstituted collagen gels (3D). Our morphometric analyses identify the Arp2/3 complex and its associated regulatory genes among the ABPs that contribute most strongly to cell spreading in 3D, but marginally in 2D. Cells lacking Arp3 have reduced spreading specifically in 3D, and display stiffness-dependent cell-matrix adhesion defects. Through manipulation of vinculin activity, we determine that the Arp3 knock-out phenotype largely arises from t...

During exponential growth some cells of E. coli undergo senescence mediated by asymmetric segregation of damaged components, particularly protein aggregates. We showed previously that functional cell division asymmetry in E. coli was responsive to the nutritional environment. Short term exposure as well as long term selection in low calorie environments led to greater cell division symmetry and decreased frequency of senescent cells as compared to high calorie environments. We show here that long term selection in low nutrient environment decreased protein aggregation as revealed by fluorescence microscopy and proportion of insoluble proteins. Across selection lines protein aggregation was correlated significantly positively with the RNA content, presumably indicating metabolic rate. This suggests that the effects of caloric restriction on cell division symmetry and aging in E. coli may work via altered protein handling mechanisms. The demonstrable effects of long term selection on protein aggregation suggest that protein aggregation is an evolvable phenomenon rather than being a passive inevitable process. The aggregated proteins progressively disappeared on facing starvation indicating degradation and recycling demonstrating that protein aggregation is a reversible process in E. coli. Citation: Baig UI, Bhadbhade BJ, Mariyam D, Watve MG (2014) Protein Aggregation in E. coli : Short Term and Long Term Effects of Nutrient Density. PLoS ONE 9(9): e107445.

What people perceive as risk clearly goes beyond variance. Several papers have shown that, e.g., probability of loss plays a more prominent role in perceived risk than does variance. We are the first to explore how individual risk perception influences prices and trading behavior in a market setting by exposing subjects to a number of differently shaped return distributions which they then trade on. We first elicit subjects' individual risk perceptions, finding results in line with earlier papers. We then let subjects trade assets with these return distributions on a continuous double auction market. In the markets we observe active trading and prices strongly driven by average risk perception. While standard finance theory predicts identical prices for most of our assets we find average prices to vary by up to 20 percent, with assets perceived as being less risky trading at significantly higher prices.

Spectrum management is needful to control the transmission of radio waves to avoid interference among wireless users. Cognitive Radio is key enabling technology to support spectrum management dynamically. spectrum sensing is important issue in dynamic spectrum management. There are number of spectrum sensing techniques presented in numerous literatures. Here in this paper the comparative analysis of different eigenvalue based spectrum sensing techniques is presented. The Maximum Minimum Eigen value detection, Energy detection, Mean Eigen value detection and Roys Largest root test are considered for the valuation. The simulation results are elaborated with respect to the performance measurement matrices akin to Probability of detection, Probability of miss detection and Probability of false detection. Closed form analysis of equation traced and from that it is considered that Maximum Minimum eigen value gives better execution and can be useful for spectrum sensing for dynamic spectru...

Our Sponsored Company requirement of Paint mixer Equipment. We have provided ideas of design of mixer Equipment. Core Paint production is an important process which has wide applications i n several fields in Casting Manufacturing Processes. The aim of the project is to develop a small-scale paint mixer Equipment. The design of the paint mixer Equipment is feasible, sustainable and cost effective and they are maintaining the viscosity of paint. This work is intended to study the cycle time and existing method of different work stations and suggesting improved method for the same so as to reduce the cycle time and to improve productivity at Company. The importance of this work is directly related to the reduction of the inefficient time and increasing the productivity. The new approach of studying the operations by video work study techniques. The advantages of this project used in the improvement of the productivity by reducing the cycle time, smooth flow of components for assembly, reducing the worker fatigue, suggesting new methods and installing it. This project highlights the advantages of adopting such an efficient process. IndexTerms-Work Study, Method Study, Stop Watch Etc. 2) Weight of plate and thickness of plate Weight of plate =((side)/1000) 2 × T × density Stainless steel (Grade SS 316) density is 7.93 g/cm 3 Weight of plate = ((609.6)/1000) 2 ×10×7.93 = 29.46 kg Weight of plate = 29.46 kg Volume of plate = weight / density Weight of plate = 29.46 ×1000 = 29468.844 gram Volume of plate =29468/ 7.93 = 3716.12 mm 3 Volume of plate is 3716.12 mm 3 Thickness of plate = volume / area =3122.32/ 312.25 = 10.00 mm Thickness of plate is 10.00 mm