Non-local image deconvolution by Cauchy sequence

We present the deconvolution between two smooth function vectors as a Cauchy sequence of weight functions. From this we develop a Taylor series expansion of the convolution problem that leads to a non-local approximation for the deconvolution in terms of continuous function spaces. Optimisation of this form against a given measure of error produces a theoretically more exact algorithm. The discretization of this formulation provides a deconvolution iteration that deconvolves images quicker than the Richardson-Lucy algorithm.Comment: 12 pages, 3 figure

Memory Forensics

Memory forensics is rapidly becoming a critical part of all digital forensic investigations. The value of information stored within a computer’s memory is immense; failing to capture it could result in a substantial loss of evidence. However, it is becoming increasingly more common to find situations where standard memory acquisition tools do not work. The paper addresses how an investigator can capture the memory of a locked computer when authentication is not present. The proposed solution is to use a bootable memory acquisition tool, in this case, Passware Bootable Memory Imager. To enhance the findings, three different reboot methods will be tested to help identify what would happen if the recommended warm reboot is not possible. Using a warm reboot and a secure reboot, Passware Bootable Memory Imager was able to successfully acquire the memory of the locked machine, with the resulting captures being highly representative of the populated data. However, the memory samples collected after a cold reboot did not retain any populated data. These findings highlight that to capture the memory of a locked machine, the reboot method is highly successful, providing the correct method is followed.Memory forensics is rapidly becoming a critical part of all digital forensic investigations. The value of information stored within a computer’s memory is immense; failing to capture it could result in a substantial loss of evidence. However, it is becoming increasingly more common to find situations where standard memory acquisition tools do not work. The paper addresses how an investigator can capture the memory of a locked computer when authentication is not present. The proposed solution is to use a bootable memory acquisition tool, in this case, Passware Bootable Memory Imager. To enhance the findings, three different reboot methods will be tested to help identify what would happen if the recommended warm reboot is not possible. Using a warm reboot and a secure reboot, Passware Bootable Memory Imager was able to successfully acquire the memory of the locked machine, with the resulting captures being highly representative of the populated data. However, the memory samples collected after a cold reboot did not retain any populated data. These findings highlight that to capture the memory of a locked machine, the reboot method is highly successful, providing the correct method is followed

Memory forensics: comparing the correctness of memory captures from locked Windows 10 machines using different boot capture vectors

Memory forensics is rapidly becoming a critical part of all digital forensic investigations. The value of information stored within a computer memory is immense; failing to capture it could result in a substantial loss of evidence. However, it is becoming increasingly more common to find situations where standard memory acquisition tools do not work. The paper addresses how an investigator can capture the memory of a locked computer when authentication is not present. The proposed solution is to use a bootable memory acquisition tool, in this case, Passware Bootable Memory Imager. To enhance the findings, three different reboot methods will be tested to help identify what would happen if the recommended warm reboot is not possible. Using a warm reboot and a secure reboot, Passware Bootable Memory Imager was able to successfully acquire the memory of the locked machine, with the resulting captures being highly representative of the populated data. However, the memory samples collected after a cold reboot did not retain any populated data. These findings highlight that to capture the memory of a locked machine, the reboot method is highly successful, providing the correct method is followed

A Unified Algebraic Approach to Few and Many-Body Correlated Systems

The present article is an extended version of the paper {\it Phys. Rev.} {\bf B 59}, R2490 (1999), where, we have established the equivalence of the Calogero-Sutherland model to decoupled oscillators. Here, we first employ the same approach for finding the eigenstates of a large class of Hamiltonians, dealing with correlated systems. A number of few and many-body interacting models are studied and the relationship between their respective Hilbert spaces, with that of oscillators, is found. This connection is then used to obtain the spectrum generating algebras for these systems and make an algebraic statement about correlated systems. The procedure to generate new solvable interacting models is outlined. We then point out the inadequacies of the present technique and make use of a novel method for solving linear differential equations to diagonalize the Sutherland model and establish a precise connection between this correlated system's wave functions, with those of the free particles on a circle. In the process, we obtain a new expression for the Jack polynomials. In two dimensions, we analyze the Hamiltonian having Laughlin wave function as the ground-state and point out the natural emergence of the underlying linear $W_{1+\infty}$ symmetry in this approach.Comment: 18 pages, Revtex format, To appear in Physical Review

Integrable structure of Ginibre's ensemble of real random matrices and a Pfaffian integration theorem

In the recent publication [E. Kanzieper and G. Akemann, Phys. Rev. Lett. 95, 230201 (2005)], an exact solution was reported for the probability p_{n,k} to find exactly k real eigenvalues in the spectrum of an nxn real asymmetric matrix drawn at random from Ginibre's Orthogonal Ensemble (GinOE). In the present paper, we offer a detailed derivation of the above result by concentrating on the proof of the Pfaffian integration theorem, the key ingredient of our analysis of the statistics of real eigenvalues in the GinOE. We also initiate a study of the correlations of complex eigenvalues and derive a formula for the joint probability density function of all complex eigenvalues of a GinOE matrix restricted to have exactly k real eigenvalues. In the particular case of k=0, all correlation functions of complex eigenvalues are determined

Extracellular Calcium Regulates Postsynaptic Efficacy through Group 1 Metabotropic Glutamate Receptors

Bursts of synaptic transmission are known to induce transient depletion of Ca2+ within the synaptic cleft. Although Ca2+ depletion has been shown to lower presynaptic release probability, effects on the postsynaptic cell have not been reported. In this study, we show that physiologically relevant reductions in extracellular Ca2+ lead to a decrease in synaptic strength between synaptically coupled layer 2/3 cortical pyramidal neurons. Using quantal analysis and mEPSP analysis, we demonstrate that a lowered extracellular Ca2+ produces a reduction in the postsynaptic quantal size in addition to its known effect on release probability. An elevated Mg2+ level can prevent this reduction in postsynaptic efficacy at subphysiological Ca2+ levels. We show that the calcium-dependent effect on postsynaptic quantal size is mediated by group 1 metabotropic glutamate receptors, acting via CaMKII (Ca2+/calmodulin-dependent protein kinase II) and PKC. Therefore, physiologically relevant changes in extracellular Ca2+ can regulate information transfer at cortical synapses via both presynaptic and postsynaptic mechanisms

Integrating Nutrition Into Health Systems at Community Level:Impact Evaluation of the Community‐Based Maternal Andneonatal Health and Nutrition Projects in Ethiopia, Kenya, and Senegal

Maternal undernutrition and mortality remain high in several African countries. Key nutrition andhealth interventions improve maternal and birth outcomes. Evidence is scarce on how tostrengthen health systems to ensure pregnant women and newborns are reached with theseinterventions. We conducted three quasi‐experimental nonrandomized Community BasedMaternal and Neonatal Health and Nutrition projects in regions of Ethiopia, Senegal, and Kenyato demonstrate how proven nutrition interventions could be integrated into health programs toimprove knowledge and practices during pregnancy, birth, and postpartum. We evaluated impacton knowledge and practices related to maternal and neonatal care using logistic regression andrepeated‐measures models with districts as a fixed variable and adjusted for covariates. Com-bined country analyses show significant positive effects of the intervention on women receivingfirst antenatal care visit (ANC) during first trimester (OR = 1.44;p\u3c .001), those consuming anyiron and folic acid supplement during their latest pregnancy (OR = 1.60;p= .005), those whose\u3c6 months infants were exclusively breastfed (OR = 2.01;p=.003), those whose delivery wasfacility based (OR = 1.48;p=.031), and those whose postnatal care was facility based (OR =2.15;p\u3c.001). There was no significant differences between intervention and control groupsregarding one or more and four or more ANC visits, women consuming iron and folic acid for≥90 days, and early initiation of breastfeeding. We conclude that integrating proven nutritioninterventions into health programs at community level improved components of access to anduse of ANC, delivery services, and postnatal care by women in three African countries

Guinea pig models for translation of the developmental origins of health and disease hypothesis into the clinic

Over 30 years ago Professor David Barker first proposed the theory that events in early life could explain an individual\u27s risk of non-communicable disease in later life: the developmental origins of health and disease (DOHaD) hypothesis. During the 1990s the validity of the DOHaD hypothesis was extensively tested in a number of human populations and the mechanisms underpinning it characterised in a range of experimental animal models. Over the past decade, researchers have sought to use this mechanistic understanding of DOHaD to develop therapeutic interventions during pregnancy and early life to improve adult health. A variety of animal models have been used to develop and evaluate interventions, each with strengths and limitations. It is becoming apparent that effective translational research requires that the animal paradigm selected mirrors the tempo of human fetal growth and development as closely as possible so that the effect of a perinatal insult and/or therapeutic intervention can be fully assessed. The guinea pig is one such animal model that over the past two decades has demonstrated itself to be a very useful platform for these important reproductive studies. This review highlights similarities in the in utero development between humans and guinea pigs, the strengths and limitations of the guinea pig as an experimental model of DOHaD and the guinea pig\u27s potential to enhance clinical therapeutic innovation to improve human health. (Figure presented.)

Finite Unified Theories and the Higgs boson

All-loop Finite Unified Theories (FUTs) are very interesting N = 1 supersymmetric Grand Unified Theories (GUTs) realising an old field theory dream, and moreover have a remarkable predictive power due to the required reduction of couplings. Based on this theoretical framework phenomenologically consistent FUTs have been constructed. Here we review two FUT models based on the SU(5) gauge group, which can be seen as special, restricted and thus very predictive versions of the MSSM. We show that from the requirement of correct prediction of quark masses and other experimental constraints a light Higgs-boson mass in the range M_h ~ 121 - 126 GeV is predicted, in striking agreement with recent experimental results from ATLAS and CMS. The model furthermore naturally predicts a relatively heavy spectrum with colored supersymmetric particles above ~ 1.5 TeV in agreement with the non-observation of those particles at the LHC.Comment: 13 pages, 5 figures. Proceedings devoted to the Scientific and Human Legacy of Julius Wess, initiated by the JW2011 Workshop, August 27 - 28, 2011, Donji Milanovac, Serbi

Asymptotic safety guaranteed

We study the ultraviolet behaviour of four-dimensional quantum field theories involving non-abelian gauge fields, fermions and scalars in the Veneziano limit. In a regime where asymptotic freedom is lost, we explain how the three types of fields cooperate to develop fully interacting ultraviolet fixed points, strictly controlled by perturbation theory. Extensions towards strong coupling and beyond the large-N limit are discussed