Proposed search for a fourth neutrino with a PBq antineutrino source

Several observed anomalies in neutrino oscillation data can be explained by a hypothetical fourth neutrino separated from the three standard neutrinos by a squared mass difference of a few eV(2). We show that this hypothesis can be tested with a PBq (ten kilocurie scale) (144)Ce or (106)Ru antineutrino beta source deployed at the center of a large low background liquid scintillator detector. In particular, the compact size of such a source could yield an energy-dependent oscillating pattern in event spatial distribution that would unambiguously determine neutrino mass differences and mixing angles.     

Electrokinetic-based injection modes for separative microsystems

Miniaturization of analytical instruments has attracted a wide interest in Analytical Chemistry over the past decade because of the advantages such as reduced reagent consumption and shorter analysis time. For chips involving separation, injection is a key step to achieve efficient and sensitive analysis. Electrokinetic injection mode is mostly used in chips because it is easier to generate flow motion in microsystems via electric potential control at channel extremities than pressure-driven flow. The injection step usually involves several intersecting channels. For each injection design, different injection modes can be done, depending on electric field sequences and distributions. This paper is an up-to-date review of these different modes on a chip.     

Electrochromatographic separation on a poly(dimethylsiloxane)/glass chip by integration of a capillary containing an acrylate monolithic stationary phase

In this paper, we present an approach to perform electrochromatographic separations on poly(dimethylsiloxane) chips: a fused-silica capillary containing a stationary phase was introduced directly into the chip. This approach would offer great flexibility since capillary modification methods are well known, and thus, with this kind of chip, different microfluidic devices having various functions could be prepared. Electrophoretic separations were first achieved by integrating an empty capillary into the chip to evaluate the analytical performances of this system. They were compared to those obtained with a classical chip. Finally, an electrochromatographic separation involving a capillary containing a hexyl acrylate-based monolith was performed. These preliminary results show this approach to be promising.     

Comparative study of floating and dynamic injection modes in electrokinetic separative microsystems

Miniaturization of analytical instruments has attracted a wide interest in analytical chemistry over the past decade because of the advantages of reduced reagent consumption, better analytical performance, and shorter analysis time. The widespread interest in this field has resulted in efforts to develop chips. For chips involving separation, injection is a key step to achieve efficient and sensitive analysis. This work presents a comparative study of two electrokinetic injection modes in chips: the floating, which has been mainly used up to now, and the dynamic. This study was done with a crossjunction, either with numerical simulations or with experiments. Experiments were carried out with homemade PDMS-glass microsystems involving zonal electrophoresis analysis of five derivatized amino acids. Injected amount, reproducibility, separation efficiency, and analyte discrimination were evaluated and discussed. The experimental results were successfully correlated with numerical simulations. It appeared that the dynamic injection mode is much more appropriate than the floating mode as it is faster (reduction by a factor 2 of the total analysis time here), more reproducible (RSD of peak areas equal to 1.3% (n = 4) instead of 10% (n = 4)), and leads to more efficient separation (about 20% with 3 cm separation channel length) for the same injected amount, whatever the amount, because the sample plug is less dispersed.     

Improvement of the modeling of the low-temperature oxidation of n-butane: study of the primary reactions

This paper revisits the primary reactions involved in the oxidation of n-butane from low to intermediate temperatures (550-800 K) including the negative temperature coefficient (NTC) zone. A model that was automatically generated is used as a starting point and a large number of thermochemical and kinetic data are then re-estimated. The kinetic data of the isomerization of alkylperoxy radicals giving (?)QOOH radicals and the subsequent decomposition to give cyclic ethers has been calculated at the CBS-QB3 level of theory. The newly obtained model allows a satisfactory prediction of experimental data recently obtained in a jet-stirred reactor and in rapid compression machines. A considerable improvement of the prediction of the selectivity of cyclic ethers is especially obtained compared to previous models. Linear and global sensitivity analyses have been performed to better understand which reactions are of influence in the NTC zone.     

Scalar fundamental measure theory for hard spheres in three dimensions: application to hydrophobic solvation

Hard-sphere mixtures provide one a solvable reference system that can be used to improve the density functional theory of realistic molecular fluids. We show how the Kierlik-Rosinberg's scalar version of the fundamental measure density functional theory of hard spheres [E. Kierlik and M. L. Rosinberg, Phys. Rev. A 42, 3382 (1990)], which presents computational advantages with respect to the original Rosenfeld's vectorial formulation or its extensions, can be implemented and minimized in three dimensions to describe fluid mixtures in complex environments. This implementation is used as a basis for defining a molecular density functional theory of water around molecular hydrophobic solutes of arbitrary shape.     

Dissemination of catabolic plasmids among desiccation-tolerant bacteria in soil microcosms

The dissemination of catabolic plasmids was compared to bioaugmentation by strain inoculation in microcosm experiments. When Rhodococcus erythropolis strain T902, bearing a plasmid with trich loroethene and isopropylbenzene degradation pathways, was used as the inoculum, no transconjugant was isolated but the strain remained in the soil. This plasmid had a narrow host range. Pseudomonas putida strain C8S3 was used as the inoculum in a second approach. It bore a broad host range conjugative plasmid harboring a natural transposon, RP4∶Tn4371, responsible for biphenyl and 4-chlorobiphenyl degradation pathways. The inoculating population slowly decreased from its original level (10⁶ colony-forming units [CFU]/g of dry soil) to approx 3×10² CFU/g of dry soil after 3 wk. Transconjugant populations degrading biphenyl appeared in constant humidity soil (up to 2×10³ CFU/g) and desiccating soil (up to 10⁴ CFU/g). The feasibility of plasmid dissemination as a bioaugmentation technique was demonstrated in desiccating soils. The ecologic significance of desiccation in bioaugmentation was demonstrated; it upset the microbial ecology and the development of transconjugants.     

A machine learning approach for individual claims reserving in insurance

Accurate loss reserves are an important item in the financial statement of an insurance company and are mostly evaluated by macrolevel models with aggregate data in run‐off triangles. In recent years, a new set of literature has considered individual claims data and proposed parametric reserving models based on claim history profiles. In this paper, we present a nonparametric and flexible approach for estimating outstanding liabilities using all the covariates associated to the policy, its policyholder, and all the information received by the insurance company on the individual claims since its reporting date. We develop a machine learning–based method and explain how to build specific subsets of data for the machine learning algorithms to be trained and assessed on. The choice for a nonparametric model leads to new issues since the target variables (claim occurrence and claim severity) are right‐censored most of the time. The performance of our approach is evaluated by comparing the predictive values of the reserve estimates with their true values on simulated data. We compare our individual approach with the most used aggregate data method, namely, chain ladder, with respect to the bias and the variance of the estimates. We also provide a short real case study based on a Dutch loan insurance portfolio.     

Chains of subsemigroups

We show that if \(\mathcal{L}\) is a line in the plane containing a badly approximable vector, then almost every point in \(\mathcal{L}\) does not admit an improvement in Dirichlet’s theorem. Our proof relies on a measure classification result for certain measures invariant under a nonabelian two-dimensional group on the homogeneous space SL₃(?)/SL₃(?). Using the measure classification theorem, we reprove a result of Shah about planar nondegenerate curves (which are not necessarily analytic), and prove analogous results for the framework of Diophantine approximation with weights. We also show that there are line segments in ?³ which do contain badly approximable points, and for which all points do admit an improvement in Dirichlet’s theorem.