Retinal Dysplasia Mimicking Retinoblastoma.

Retinal dysplasia represents a congenital disorder characterized by abnormal proliferation of retinal tissue causing leukocoria. We present a case of an infant with bilateral leukocoria, clinically diagnosed as retinoblastoma, followed by enucleation of the left eye. Microscopy however, demonstrated retinal dysplasia consisting of a disorderly proliferation of retinal tissue with formation of rosettes, mimicking retinoblastoma. Microscopic features that aid in differentiating this lesion from retinoblastoma are discussed

Why do education vouchers fail at the ballot box?

We compare a uniform voucher regime against the status quo mix of public and private education, focusing on the distribution of welfare gains and losses across house- holds by income. We argue that the topping-up option available under uniform vouchers is not sufficiently valuable for the poorer households, so the voucher regime is defeated at the polls. Our result depends critically on the opting-out feature in the current system.Education ; Households

Why do Education Vouchers Fail?

We examine quantitatively why uniform vouchers have repeatedly su¤ered electoral defeats against the current system where public and private schools coexist. We argue that the topping-up option available under uniform vouchers is not sufficiently valuable for the poorer households to prefer the uniform vouchers to the current mix of public and private education. We then develop a model of publicly funded means-tested edu- cation vouchers where the voucher received by each household is a linearly decreasing function of income. Public policy, which is determined by majority voting, consists of two dimensions: the overall funding level (or the tax rate) and the slope of the means testing function. We solve the model when the political decisions are sequential ?households vote ?rst on the tax rate and then on the extent of means testing. We establish that a majority voting equilibrium exists. We show that the means-tested voucher regime is majority preferred to the status-quo. These results are robust to alternative preference parameters, income distribution parameters and voter turnout.

Why do education vouchers fail at the ballot box?

We compare a uniform voucher regime against the status quo mix of public and private education, focusing on the distribtuion of welfare gains and losses across households by income. We argue that the topping-up option available under uniform vouchers is not su¢ ciently valuable for the poorer households, so the voucher regime is defeated at the polls. Our result depends critically on the opting-out feature in the current system.vouchers, political economy, opting out, education finance

Stable and Metastable vortex states and the first order transition across the peak effect region in weakly pinned 2H-NbSe_2

The peak effect in weakly pinned superconductors is accompanied by metastable vortex states. Each metastable vortex configuration is characterized by a different critical current density J_c, which mainly depends on the past thermomagnetic history of the superconductor. A recent model [G. Ravikumar, et al, Phys. Rev. B 61, R6479 (2000)] proposed to explain the history dependent J_c postulates a stable state of vortex lattice with a critical current density J_c^{st}, determined uniquely by the field and temperature. In this paper, we present evidence for the existence of the stable state of the vortex lattice in the peak effect region of 2H-NbSe_2. It is shown that this stable state can be reached from any metastable vortex state by cycling the applied field by a small amplitude. The minor magnetization loops obtained by repeated field cycling allow us to determine the pinning and "equilibrium" properties of the stable state of the vortex lattice at a given field and temperature unambiguously. The data imply the occurence of a first order phase transition from an ordered phase to a disordered vortex phase across the peak effect.Comment: 20 pages, 10 figures. Corresponding author: S. Ramakrishna

Coreference detection of low quality objects

The problem of record linkage is a widely studied problem that aims to identify coreferent (i.e. duplicate) data in a structured data source. As indicated by Winkler, a solution to the record linkage problem is only possible if the error rate is sufficiently low. In other words, in order to succesfully deduplicate a database, the objects in the database must be of sufficient quality. However, this assumption is not always feasible. In this paper, it is investigated how merging of low quality objects into one high quality object can improve the process of record linkage. This general idea is illustrated in the context of strings comparison, where strings of low quality (i.e. with a high typographical error rate) are merged into a string of high quality by using an n-dimensional Levenshtein distance matrix and compute the optimal alignment between the dirty strings. Results are presented and possible refinements are proposed

Comparison of History Effects in Magnetization in Weakly pinned Crystals of high-TcT_c and low-Tc_c Superconductors

A comparison of the history effects in weakly pinned single crystals of a high $T_c$ YBa$_2$Cu$_3$O$_{7 - \delta}$ (for H $\parallel$ c) and a low $T_c$ Ca$_3$Rh$_4$Sn$_{13}$, which show anomalous variations in critical current density $J_c(H)$ are presented via tracings of the minor magnetization hysteresis loops using a vibrating sample magnetometer. The sample histories focussed are, (i) the field cooled (FC), (ii) the zero field cooled (ZFC) and (iii) an isothermal reversal of field from the normal state. An understanding of the results in terms of the modulation in the plastic deformation of the elastic vortex solid and supercooling across order-disorder transition is sought.Comment: Presented in IWCC-200

Minimum and maximum against k lies

A neat 1972 result of Pohl asserts that [3n/2]-2 comparisons are sufficient, and also necessary in the worst case, for finding both the minimum and the maximum of an n-element totally ordered set. The set is accessed via an oracle for pairwise comparisons. More recently, the problem has been studied in the context of the Renyi-Ulam liar games, where the oracle may give up to k false answers. For large k, an upper bound due to Aigner shows that (k+O(\sqrt{k}))n comparisons suffice. We improve on this by providing an algorithm with at most (k+1+C)n+O(k^3) comparisons for some constant C. The known lower bounds are of the form (k+1+c_k)n-D, for some constant D, where c_0=0.5, c_1=23/32=0.71875, and c_k=\Omega(2^{-5k/4}) as k goes to infinity.Comment: 11 pages, 3 figure

Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation

Left ventricle segmentation and morphological assessment are essential for improving diagnosis and our understanding of cardiomyopathy, which in turn is imperative for reducing risk of myocardial infarctions in patients. Convolutional neural network (CNN) based methods for cardiac magnetic resonance (CMR) image segmentation rely on supervision with pixel-level annotations, and may not generalize well to images from a different domain. These methods are typically sensitive to variations in imaging protocols and data acquisition. Since annotating multi-sequence CMR images is tedious and subject to inter- and intra-observer variations, developing methods that can automatically adapt from one domain to the target domain is of great interest. In this paper, we propose an approach for domain adaptation in multi-sequence CMR segmentation task using transfer learning that combines multi-source image information. We first train an encoder-decoder CNN on T2-weighted and balanced-Steady State Free Precession (bSSFP) MR images with pixel-level annotation and fine-tune the same network with a limited number of Late Gadolinium Enhanced-MR (LGE-MR) subjects, to adapt the domain features. The domain-adapted network was trained with just four LGE-MR training samples and obtained an average Dice score of ∼∼85.0% on the test set comprises of 40 LGE-MR subjects. The proposed method significantly outperformed a network without adaptation trained from scratch on the same set of LGE-MR training data

Fossilised Neanderthal Matrilineal Societies, Neo-Neanderthal Hybrids, Endosymbiotic Actinidic Archaea and Civilisational Diseases

Neanderthal genes have been related to human disease. The human genome has been found to have up to 10 percent Neanderthal genes. The pyruvate dehydrogenase gene as well as those coding for MHC alleles are of Neanderthal origin. Neanderthal genes have been related to autism and autoimmune disease. There is high incidence of autism and Neanderthal anthropometry in the matrilineal and Dravidian language speaking nair community of Kerala. The autistic brain is comparable to the large-sized Neanderthal brain. Metabolic patterns were compared among the following groups: matrilineal nairs, non nairs, autism, schizophrenia and systemic diseases to find out a pattern of Neanderthal metabolism. The aim of the study aimed to detect fossilized Neanderthal matrilineal societies and new Neanderthal hybrids in relation to civilisational diseases. Four groups, 25 numbers in each group were chosen for the study—the autistic population diagnosed according to DSM criteria, the normal nair population, the normal non-nair population and civilisational disease group including metabolic syndrome x, alzheimer’s disease, cancer, schizophrenia and multiple sclerosis. Archaeal cholesterol catabolism as well as PDH activity, glycolytic pathway, the GABA shunt, porphyrins, homocysteine and ammonia metabolism were studied to find out a pattern of Neanderthal metabolism. Autistic metabolonomic patterns include low pyruvate dehydrogenase activity, mitochondrial dysfunction, GABA shunt, Warburg glycolytic phenotype, hyperammonemia, hyperhomocysteinemia, porphyria, low cholesterol/bile acid levels and a similar pattern is seen in the normal nair population of Kerala. Neanderthal metabolonomic patterns include a low efficiency PDH activity. Autistic and matrilineal societies like nair can be considered as remnants of the Neanderthals. The autistic and nair population have increased cytochrome F420 activity suggestive of endosymbiotic archaeal growth resulting in PDH and mitochondrial suppression. The increased archaeal digoxin synthesis later on shuts down the metabolic machinery the neuronal and other tissue cells and the human cells and tissues including the brain are taken over by an atavistic actinidic colony network. This leads onto a Neanderthal hybrid zombie syndrome. The increased archaeal growth in ice age conditions contributed to the neanderthal evolution and similar endosymbiotic archaeal growth related to global warming leads to neanderthalisation of homo sapiens. The autistic and neanderthalic metabolonomic patterns are also seen in civilisational diseases like syndrome X, schizophrenia, cancer, multiple sclerosis and alzheimer’s disease. The results suggest neanderthalisation of the humans due to global warming and archaeal growth. The Neanderthalisation of the human species is the basis of the global autistic, schizophrenic and civilisational disease epidemic—epidemic Neanderthal hybrid zombie syndrome. The matrilineal societies are fossilized Neanderthal remnants and neoneanderthal hybrids contribute to civilisational diseases