Eye-tracking measurements of language processing: developmental differences in children at high risk for ASD

To explore how being at high risk for autism spectrum disorder (ASD), based on having an older sibling diagnosed with ASD, affects word comprehension and language processing speed, 18-, 24- and 36-month-old children, at high and low risk for ASD were tested in a cross- sectional study, on an eye gaze measure of receptive language that measured how accurately and rapidly the children looked at named target images. There were no significant differences between the high risk ASD group and the low risk control group of 18- and 24-month-olds. However, 36-month-olds in the high risk for ASD group performed significantly worse on the accuracy measure, but not on the speed measure. We propose that the language processing efficiency of the high risk group is not compromised, but other vocabulary acquisition factors might have lead to the high risk 36-month-olds to comprehend significantly fewer nouns on our measure.K01 DC013306 - NIDCD NIH HHS; R01 DC010290 - NIDCD NIH HHS; K01DC013306 - NIDCD NIH HHS; R01 DC 10290 - NIDCD NIH HH

A method to make decisions jointly on a number of dependent characters

A method is proposed to make decisions jointly on a number of dependent character variables. A score was allotted to each entry for each character. The scores were added across characters to provide a final score for each entry. Based on the final scores, the entries were ranked on their performance over a set of characters

Character association among components of genetic variation in F1 generation in Arachis hypogaea L.

The nature and magnitude of association among 9 characters, 3 of which were measured in the early stage and the rest at harvest due to the components of variation general combining ability, specific combining ability, reciprocal, maternal and non-maternal effects - was studied in two F1 diallel sets of crosses in groundnut: Pod yield, seed yield, 100 kernel weight and shelling per cent were positively and significantly correlated among themselves for all components of variation. Stepwise multiple regression analysis showed that pod yield, shelling per cent and 100-kernel weight were the major components to explain the variation in kernel yield; in addition, leaf area and specific leaf weight measured on 15-day old seedling were also found to be important in one diallel. The favourable correlations among direct yield components have to be complemented by their desirable association with other characters spanning the growth phase of the plant, if direct selection for pod yield were to be successful. The contribution of reciprocal and maternal effects to the strength of character association was found to be significant

An analysis of character association in three varietal forms of Brassica campestris L.

This article does not have an abstract

Limits to genetic divergence for occurrence of heterosis- experimental evidence from crop plants

Two experiments in groundnut (Arachis hypogaea L.) and one in rapeseed (Brassica campestris L.) involving varying number of crosses made to diallel and line x tester designs were studied with the aim of relating genetic divergence among parents with the frequency and magnitude of heterosis in the F1 generation. A method was devised to delineate the divergence among parents into four divergence classes, DC1, DC2, DC3 and DC4. Heterosis was computed as per cent improvement over the value of better parent, for three important components of yield in each crop. Genetic divergence was measured by D2 statistic. If m is the mean and s the standard deviation of divergence values (given by D2) among parents, it was postulated that two parents whose genetic divergence falls between (m-s) and (m+s), i.e., in the classes, DC2 and DC3, when crossed will have higher chances of producing high frequency and magnitude of heterosis when compared to a cross whose parental divergence falls outside the limits, (m-s, m+s)

Network Fault Detection Using Test Packet Generation: A Survey

Networks are becoming larger and a lot of advanced, yet directors think about various tools like ping and traceroute to correct issues. Instead of using different tools to debug the network problems, we introduced an automatic and systematic scheme for testing and debugging networks known as Automatic test Packet Generation (ATPG). This automated approach fetches router configurations to generate a device-independent model. The model is employed to get a minimum set of test packets to analyse each link in the network. The detected failures trigger a separate mechanism to localize the fault by sporadically sending test packets. ATPG will notice each operational (e.g., incorrect firewall rule) and performance problems. ATPG complements however goes on the far side earlier add static checking (which cannot observe functional or performance faults) or fault localization (which solely localizes faults given liveness results). DOI: 10.17762/ijritcc2321-8169.150315

Understanding different factors affecting Supersonic Particle Deposition (SPD) repaired Al 7075-T651 plate for structural restoration

One of the main challenges in maintaining aging aircraft is to find a reliable, effective and economic repair process, for both non-structural and structural repairs. Supersonic particle technology (SPD) aka Cold Spray (CS) has proved to be an effective geometry restoration technology and has the potential to repair/restore/enhance the airworthiness of aging aircraft. Al 7075-T651 is highly susceptible for stress crossing cracking compared to –T7351 temper. Mechanism involved in environment assisted cracking (EAC) such as corrosion fatigue primarily in conventional product forms such as rolled plate, extrudate or forging in Al 7075 is complex. Fundamental research concerning the driving force and micro-mechanism involved in EAC is still not matured, and, not completely understood in Al alloys. In addition, the effect of different factors such as high strain rate deformed layers, residual stress in the coating and substrate and presence of micro defects makes more complex in understanding the EAC in SPD repair subjects. In light of the complex nature of the SPD structure, systematic evaluation was carried out to determine various factors affecting the EAC behavior of the SPD repair. Thus, this presentation focuses on a brief overview on the application of this technology for corrosion repair followed by experimental study and fractographic analysis of SPD repaired Al 7075-T651 0.25” plate aimed at restoring the structural functionality. To study the structural behavior of the SPD coated 7075 Al, both static and fatigue performance were evaluated in ambient and humid environment. The study involves simulating a 20% thickness loss by milling Al 7075 master plates (9.1” x 8.75”) followed by depositing Al 7075 spray atomized powder using SPD process. Test coupons were extracted from this master plate; orientation and location of the individual test specimen origin were tracked. The presentation includes factors affecting the quality of the SPD coating specifically for structural application and how to exploit these factors in qualifying a SPD coating. Test results are validated and supported by detailed fractographic studies. Emphasis will be given to failure modes and mechanism involved on these SPD coated specimens tested under cyclic loads, and, under ambient and humid environments will be discussed

On the robustness of bucket brigade quantum RAM

We study the robustness of the bucket brigade quantum random access memory model introduced by Giovannetti, Lloyd, and Maccone [Phys. Rev. Lett. 100, 160501 (2008)]. Due to a result of Regev and Schiff [ICALP '08 pp. 773], we show that for a class of error models the error rate per gate in the bucket brigade quantum memory has to be of order $o(2^{-n/2})$ (where $N=2^n$ is the size of the memory) whenever the memory is used as an oracle for the quantum searching problem. We conjecture that this is the case for any realistic error model that will be encountered in practice, and that for algorithms with super-polynomially many oracle queries the error rate must be super-polynomially small, which further motivates the need for quantum error correction. By contrast, for algorithms such as matrix inversion [Phys. Rev. Lett. 103, 150502 (2009)] or quantum machine learning [Phys. Rev. Lett. 113, 130503 (2014)] that only require a polynomial number of queries, the error rate only needs to be polynomially small and quantum error correction may not be required. We introduce a circuit model for the quantum bucket brigade architecture and argue that quantum error correction for the circuit causes the quantum bucket brigade architecture to lose its primary advantage of a small number of "active" gates, since all components have to be actively error corrected.Comment: Replaced with the published version. 13 pages, 9 figure

Prevalence and pattern of dyslipidemia in newly detected type 2 diabetes mellitus and its correlation with anthropometric parameters

Background: Globally 425 million people have diabetes mellitus (DM) of which 90% are type 2 DM. India carries nearly 70 million cases of DM. India is called the diabetes capital of the world. The escalating epidemic of type 2 diabetes has been attributed to increasing obesity and longevity. Due to the additive cardiovascular risk of hyperglycemia and hyperlipidemia, lipid abnormalities should be aggressively detected and treated as a part of comprehensive diabetic care. The study aimed at detecting the occurrence and pattern of dyslipidemia in newly-detected type 2 diabetic patients in a tertiary care hospital in South India.Methods: This cross-sectional study was conducted over a period of eighteen months. It comprised of 50 newly detected diabetics above the age of 18 years who satisfied the inclusion and exclusion criteria.Results: Fifty patients were included in the study which included 18 males and 32 females. The body mass index (BMI) was abnormal in 62% (as per the Asian criteria) and in 42% (as per the WHO criteria). The waist circumference (WC) was found to be high in 82% and 70% as per the Asian and the WHO criteria, respectively. Forty six percent of the population was found to have elevated total cholesterol levels. LDL was increased in 70% of the study population while triglycerides were elevated in 40%, total cholesterol in 46% and low HDL in 76% of the patients.Conclusions: A significant correlation was found between the fasting blood sugars (FBSs) and serum triglycerides. There was a positive correlation noted between the dyslipidemia and the anthropometric parameters recorded

Improving outsourcing framework by integrating with lean

Outsourcing has become a vital strategic element in all kinds of organisations ranging from manufacturing to the service industry. Due to increasing trends a large number of organisations have adopted or are in a process of adopting outsourcing. Currently organisations practising outsourcing have a financial advantage over others. However, in due course, many others will join the race and may cause the organisations practicing outsourcing to lose their competitive advantage. The organisations, however, prepared to practice outsourcing effectively by continuous improvement will achieve enhanced performance. An effective way to incorporate a continuous improvement strategy into the outsourcing process is to integrate it with the lean system philosophy. This, however, is a complicated task. Over one hundred management tools have been listed that must be mastered to achieve the desired results (Bicheno, 2004). Despite this, different organisations are adopting various outsourcing models to acquire competitiveness (Brannemo, 2006). The selection of a suitable lean tool requires in depth understanding of the outsourcing process and strategies, by applying the lean philosophy to outsourcing, the final product cost can be reduced and the gap in the provider-consumer chain can be minimised by developing a continuous flow. In order to successfully implementing the Lean Outsourcing model, workforce training is essential. A survey (Fan, 2000) shows that organisations are outsourcing rather than focusing on price and other issues of the business. Instead of continuously improving the outsourcing programme by conventional means, it is advisable to develop and implement an integrated Lean Outsourcing model, so that continuous improvement becomes a part of the strategy. Realizing the importance of improving the outsourcing process, an attempt has been made in this paper to develop a model for integrating it with the Lean system. The objective of this paper is to present how the continuous improvement strategy can be incorporated into the outsourcing process by integrating it with the lean system. Furthermore, the aim is to analyse, how effectively this can be done to achieve an improved outsourcing model. The Lean Outsourcing model can be used as a base for building a continuously improving competitive sourcing decision model