Herding to A Side of Order Book Balance

In the growing econophysics, it is quite rare that the presented analyses approach the interesting properties of order book. However, a lot of data are available in the order book, and analysis on this object will bring us to further understanding of the market. We analyze some order book of stocks traded in Jakarta Stock Exchange and see interesting properties there by looking at the balance of the order book. We also build a model based on the work of Chiarella and Iori [1] with some modi¯cations to explain the herding pattern of traders through the order book

IDEAS project - Data Informed Platform for Health feasibility study in Uttar Pradesh

The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice. This data collection contains topic guides and other research tools used to assess the feasibility of introducing a Data Informed Platform for Health (DIPH), in order to bring together key data from the public and private health sector on inputs and processes that may influence maternal and newborn health. The DIPH was intended to promote the use of local data for decision-making and priority setting at local health administration level, and for programme appraisal and comparison at regional and zonal level

The structure of non-spacelike geodesics in dust collapse

We study here the behaviour of non-spacelike geodesics in dust collapse models in order to understand the casual structure of the spacetime. The geodesic families coming out, when the singularity is naked, corresponding to different initial data are worked out and analyzed. We also bring out the similarity of the limiting behaviour for different types of geodesics in the limit of approach to the singularity.Comment: 23 pages, 6 figures, to appear in PR

Data calibration for the MASCARA and bRing instruments

Aims: MASCARA and bRing are photometric surveys designed to detect variability caused by exoplanets in stars with $m_V < 8.4$. Such variability signals are typically small and require an accurate calibration algorithm, tailored to the survey, in order to be detected. This paper presents the methods developed to calibrate the raw photometry of the MASCARA and bRing stations and characterizes the performance of the methods and instruments. Methods: For the primary calibration a modified version of the coarse decorrelation algorithm is used, which corrects for the extinction due to the earth's atmosphere, the camera transmission, and intrapixel variations. Residual trends are removed from the light curves of individual stars using empirical secondary calibration methods. In order to optimize these methods, as well as characterize the performance of the instruments, transit signals were injected in the data. Results: After optimal calibration an RMS scatter of 10 mmag at $m_V \sim 7.5$ is achieved in the light curves. By injecting transit signals with periods between one and five days in the MASCARA data obtained by the La Palma station over the course of one year, we demonstrate that MASCARA La Palma is able to recover 84.0, 60.5 and 20.7% of signals with depths of 2, 1 and 0.5% respectively, with a strong dependency on the observed declination, recovering 65.4% of all transit signals at $\delta > 0^\circ$ versus 35.8% at $\delta < 0^\circ$. Using the full three years of data obtained by MASCARA La Palma to date, similar recovery rates are extended to periods up to ten days. We derive a preliminary occurrence rate for hot Jupiters around A-stars of ${>} 0.4 \%$, knowing that many hot Jupiters are still overlooked. In the era of TESS, MASCARA and bRing will provide an interesting synergy for finding long-period (${>} 13.5$ days) transiting gas-giant planets around the brightest stars.Comment: 18 pages, 17 figures, accepted for publication in A&

Second-Order Eikonal Corrections for A(e,e'p)

The first-order eikonal approximation is frequently adopted in interpreting the results of $A(e,e'p)$ measurements. Glauber calculations, for example, typically adopt the first-order eikonal approximation. We present an extension of the relativistic eikonal approach to $A(e,e'p)$ which accounts for second-order eikonal corrections. The numerical calculations are performed within the relativistic optical model eikonal approximation. The nuclear transparency results indicate that the effect of the second-order eikonal corrections is rather modest, even at $Q^{2} \approx 0.2$ (GeV/c)$^2$. The same applies to polarization observables, left-right asymmetries, and differential cross sections at low missing momenta. At high missing momenta, however, the second-order eikonal corrections are significant and bring the calculations in closer agreement with the data and/or the exact results from models adopting partial-wave expansions.Comment: 16 pages, 4 figures, 1 table, submitted to Phys. Lett.

The nn quasi-free nd breakup cross section: discrepancies to theory and implications on the 1S0 nn force

Large discrepancies between quasi-free neutron-neutron (nn) cross section data from neutron-deuteron (nd) breakup and theoretical predictions based on standard nucleon-nucleon (NN) and three-nucleon (3N) forces are pointed out. The nn 1S0 interaction is shown to be dominant in that configuration and has to be increase to bring theory and data into agreement. Using the next-to-leading order (NLO) 1S0 interaction of chiral perturbation theory (chiPT) we demonstrate that the nn QFS cross section only slightly depends on changes of the nn scattering length but is very sensitive to variations of the effective range parameter. In order to account for the reported discrepancies one must decrease the nn effective range parameter by about 12 % from its value implied by 19charge symmetry and charge independence of nuclear forces.Comment: 19 pages, 11 figure

Emerging Risks in the Dutch Food Chain report on project 2: Application of indicator analyses on several critical points in the salmon production chain and identification of related data sources

An indicator analysis was performed on the fish production chain by assessing the indicators which may be of importance for the detection of emerging risks. The indicators were embedded in a “risk pathway”, in which the relations between different indicators could be illustrated. The risk pathways illustrate the main characteristics of the salmon production chain. However further research is required in order to develop further interaction with other sectors, and production chains to bring emerging risk detection to the next level. In relation to the assigned indicators, a selection of (electronic) data sources were identified in order to be able to combine data flows with indicators and risk pathways. The indicators were analyzed for availability, sources of data entry, validation of data sources, update frequency and delay in input. The combination of risk pathways, indicators and data sources, will be one of the key information sources for the further development of an Emerging Risk Detection Support System (ERDSS)