Miracle-dz/UniFAR-FTUs huggingface dataset:
DFT Approaches Enable Mass Production Test

Test compression technology was adopted to enable additional scan patterns to be applied without changing the test interface. However, test compression and test approaches can also be used to reduce the ATE (automatic test equipment) and tester interface requirements. As a result, not only can existing testers be used to apply additional tests, the test interface can be reduced to a very small amount of serial channels. This eases the adoption of multi-site testing, thereby increasing test throughput and mass volume production. In addition, the compressed fail values of each device can be directly used for diagnostics, enabling a software approach to failure and yield analysis. Three industry designs are used to demonstrate high levels of compression with one or two serial channels. Results are shown in terms of improved test quality, test compression, and diagnostics while reducing the test interface for a mass production environment.
Existence of Mesons and Mass Splitting in Lattice QCD

We consider one flavor lattice QCD in the imaginary time functional integral formulation for space dimensions d = 2, 3 with 4 × 4 Dirac spin matrices, small hopping parameter κ, 0 < κ << 1, and zero plaquette coupling. We determine the energy-momentum spectrum associated with four-component gauge invariant local meson fields which are composites of a quark and an anti-quark field. For the associated correlation functions, we establish a Feynman-Kac formula and a spectral representation. Using this representation, we show that the mass spectrum consists of two distinct masses ma and mb, given by mc = −2 ln κ+rc(κ), c = a, b, where rc is real analytic. For d = 2, ma and mb have multiplicity two and the mass splitting is κ +O(κ6); for d = 3, one mass has multiplicity one and the other three, with mass splitting 2κ +O(κ). In the subspace of the Hilbert space generated by an even number of fermion fields the dispersion curves are isolated (upper gap property) up to near the two-meson threshold of asymptotic mass −4 ln κ. ∗E-mail: veiga@icmc.sc. usp.br.
New approach of the navigation control of small size UAVs

In unmanned aerial vehicle operations as well as in aviation the airflow direction and speed plays a major role. The wind speed may limit the use of aircraft, and determines the direction of the takeoff and landing. In the case of small size UAVs (0.5 – 4 m wingspan, 0.5 – 10 kg takeoff weight) the strength and the direction of the wind is quite important, because the airspeed of the vehicle is in the same scale, and the turbulence can affect the flight path. The general methods of wind measurement cannot be applied onboard of the UAV. Although the ground measured wind data is sufficient for the takeoff, but it is irrelevant when the UAV is landing in a different place, e.g. on a far field. In that case, the wind speed and direction must be measured onboard the vehicle, before the landing maneuver. The aim of the research is the real time determination of the dominant wind data with the onboard sensors.
Neuroimage: Clinical Developmental Differences in Higher-order Resting-state Networks in Autism Spectrum Disorder

Objective: Autism Spectrum Disorder (ASD) has been associated with a complex pattern of increases and decreases in resting-state functional connectivity. The developmental disconnection hypothesis of ASD poses that shorter connections become overly well established with development in this disorder, at the cost of long-range connections. Here, we investigated resting-state connectivity in relatively young boys with ASD and typically developing children. We hypothesized that ASD would be associated with reduced connectivity between networks, and increased connectivity within networks, reflecting poorer integration and segregation of functional networks in ASD. Methods: We acquired resting-state fMRI from 27 boys with ASD and 29 age-and IQ-matched typically developing boys between 6 and 16 years of age. Functional connectivity networks were identified using Independent Component Analysis (ICA). Group comparisons were conducted using permutation testing, with and without voxel-wise correction for grey matter density. Results: We found no between-group differences in within-network connectivity. However, we did find reduced functional connectivity between two higher-order cognitive networks in ASD. Furthermore, we found an interaction effect with age in the DMN: insula connectivity increased with age in ASD, whereas it decreased in typically developing children. Conclusions: These results show subtle changes in between network connectivity in relatively young boys with ASD. However, the global architecture of resting-state networks appeared to be intact. This argues against recent suggestions that changes in connectivity in ASD may be the most prominent during development.
Review of Use of Nonlocal Spectral – Spatial Structured Sparse Representation for Hyper spectral Imagery Restoration

Noise reduction may be a vigorous analysis area in image method due to its importance in up the quality of image for object detection and classification. Throughout this paper, we've got a bent to develop a skinny illustration based noise reduction methodology for the hyperspectral imaging , that depends on the thought that the non-noise part in associate discovered signal is sparsely rotten over a redundant lexicon whereas the noise part does not have this property. The foremost contribution of the paper is at intervals the introduction of nonlocal similarity and spectral-spatial structure of hyperspectral imaging into skinny illustration. Non-locality suggests that the self-similarity of image, by that a full image is partitioned into some groups containing similar patches. The similar patches in each cluster unit sparsely delineate with a shared set of atoms throughout a lexicon making true signal and noise extra merely separated. Sparse illustration with spectral-spatial structure can exploit spectral and spatial joint correlations of hyperspectral imaging by victimization 3D blocks rather than 2-D patches for skinny secret writing, which collectively makes true signal and noise extra distinguished. Moreover, hyperspectral imaging has every signal-independent and signal-dependent noises, thus a mixed Poisson and man of science noise model is used. In order to create skinny illustration be insensitive to various noise distribution in numerous blocks, a variance-fitting transformation (VFT) is used to create their variance comparable, the advantages of the projected ways unit valid on every artificial and real hyperspectral remote sensing data sets.
Effect of Zinc Supplementation in Children with Acute Diarrhea: Randomized Double Blind Controlled Trial

Background To test the hypothesis that daily supplementation of zinc has any effect on clinical course of acute diarrhea, i.e. frequency of stool, on stool amount and duration of acute diarrhea. Methods In a randomized double blind placebo controlled trial, 117 children aged 6 months to 59 months in a medical college hospital, with acute diarrhea of less than 14 days were assigned by permuted block design 1:1 to receive intervention of zinc supplemented syrup (n = 60) or placebo syrup (n = 57). Results Baseline characteristics were similar in both the groups. Mean age in zinc supplemented group was 22.14 ± 16.68 months and in placebo group 25.66 ± 17.02 months. Reduction in stool frequency per day was found 62% in zinc supplemented group and 26% reduction was found in placebo supplemented group with obvious difference of 36% between these two groups from day 1 to day 3 and day 5, which was found statistically highly significant. Similarly, significant difference was observed for reduction in amount of stool per day from day 1 to day 3 and day 5 with obvious difference of 45% between the study groups. Conclusions Oral zinc administration in acute diarrhea reduces the frequency of diarrhea and output of stool by changing the natural course of acute diarrheal disease, causes early normalization of stool consistency, early recovery and decreases total duration of hospital stay. Zinc supplementation is simple, acceptable and affordable strategy which should be considered in management of acute diarrhea.
Using Literacy Integration for Communicating Scientifically: Research Results on Teacher Efficacy and Student Achievement.

The professional development program Using Literacy Integration for Communicating Scientifically (ULINCS) is a joint program of the University of Northern Colorado and Adams Twelve Five Star School District. It had been noted that the increased emphasis on literacy skills was leading educators to place less emphasis on science. The ULINCS project asked elementary school teachers to receive professional development in science content and the implementation of an integrated inquiry-based science unit that also increases literacy achievement. Thirty teachers from grades 3 through 6 participated in the project. Teachers kept journals to record their impressions of how the project benefited teaching and learning. Quantitative assessments evaluated student growth in science and literacy. These assessments included the school district's usual standardized tests. Results suggest that when two or more ULINCS teachers are at a grade level, achievement across the grade level may be improved. Results strongly support the linkage between achievement in science and achievement in literacy when teachers are provided the time, appropriate instruction, and resources to learn the science content and the pedagogical skills necessary to design and implement an integrated, inquiry-based science unit. Findings suggest that de-emphasizing or eliminating the teaching of science to provide more time for literacy blocks may not be the "best practice. " (Contains 2 figures, 7 graphs, and 15 references.) (SLD) Reproductions supplied by EDRS are the best that can be made from the on inal document. Using Literacy Integration for Communicating Scientifically: Research Results on Teacher Efficacy and Student Achievement U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) iclefhis document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
Role of Obesity in the Risk of Breast Cancer: Lessons from Anthropometry

An estimated 1.38 million new cases of breast cancer (BC) are diagnosed each year in women worldwide. Of these, the majority are categorized as invasive ductal cell carcinoma. Subgroups of BC are frequently distinguished into five “intrinsic” subtypes, namely, luminal A, luminal B, normal-like, HER2-positive, and basal-like subtypes. Epidemiological evidence has shown that anthropometric factors are implicated in BC development. Overall consistent positive associations have been observed between high body mass index (BMI) and waist-to-hip ratio (WHR) and the risk of BC among postmenopausal women, while conflicting results persist for premenopausal BC, both for BMI and for other anthropometric parameters as well as across ethnic groups. Furthermore, some evidence suggests that body size, body shape, and weight gain during childhood or adolescence may play a role in the risk of BC. In this paper, we describe the evidence linking anthropometric indices at different ages and BC risk, in order to improve our understanding of the role of body fat distribution in the risk of BC, investigate differences in these associations according to menopausal status and ethnic groups, and discuss the potential biological mechanisms linking body size and BC risk.
PCR differential display identifies a rat brain mRNA that is transcriptionally regulated by cocaine and amphetamine

involves alterations in specific patterns of gene expression. In order to screen for brain region specific mRNAs which are transcriptionally regulated by acute cocaine and amphetamine, PCR differential display was employed. This approach identified a previously uncharacterized mRNA whose relative levels in the striatum are induced four- to fivefold by acute psychomotor stimulant administration. Isolation and characterization of corresponding cDNA clones resulted in complete nucleotide sequence analysis, including prediction of the encoded protein product. Alternate polyA site utilization in the predicted 3′ noncoding region results in the appearance of an RNA doublet, approximately 700 and 900 bases in length, following Northern analysis. A presumed alternate splicing event further generates diversity within the transcripts, and results in the presence or absence of an in-frame 39 base insert within the putative protein coding region. As a result, the predicted translation products are either 129 or 116 amino acids in length. A common hydrophobic leader sequence at the amino terminus is present within each predicted polypeptide, suggesting that the protein product is targeted for entry into the secretory pathway. Basal expression of the RNA doublet is limited to neuroendocrine tissues, further implying that the protein product plays a functional role in both neuronal and endocrine tissues.
MGNREGA and its impacts on Rural Wage Rates

The research study is about “ MGNREGA and its impact on rural wage rates”. The objective of this study is to understand the rural livelihood of the farmers and labourers and the impact of MGNREGA . This study also attempts to understand the changing daily private wage rate after the implementation of MGNREGA. The MGNREGA is a huge public works programme and is considered as a major reason responsible for the resultant rising farm wages. This paper has tried to look into the various impacts of MGNREGA on the agricultural wages as well as how MGNREGA impacts the non-farm sector wage rates, based on the secondary data for a period of 2000-10. This study has also analysed the major factors which are contributing to the increasing agricultural wages. Using the secondary data, regression models have been constructed using male and female agricultural wage rates, mason wage rates as dependant variables. The independent variables used are MGNREGA intensity with rural population and net sown area,literacy rate, cropping intensity, irrigation intensity and per capita income The results show that the MGNREGA impacts the female agricultural wage rate and also the male wage rate. It has no impacts on mason wage rates. Different factors are operating for both male and female agricultural wage rates
MONETARY DYNAMICS OF INFLATION: SOME EVIDENCE FOR A SMALL OPEN ECONOMY

The paper examines the empirical validity of the monetary theory of inflation for the small open economy of the United Arab Emirates over the last two decades. Besides the usual emphasis on the role of money-supply growth in the inflationary process, the theoretical model also incorporates the underlying money demand func tion to avoid possible misspecification. The results reveal several interesting policy implications. International monetary factors (represented primarily by world inflation) exert a significant impact upon the UAE inflation. Therefore, anti-inflation policies must take into account such foreign fac tors. However, the empirical results show that the effect of world prices on the UAE inflation is relatively dilute, with a small long-run elasticity The central finding is that inflation in the UAE has its origin in domestic sources, particularly in excessive monetary expansions. There is decidedly strong evidence of a positive and significant impact of money-supply growth on inflation.
2 1 8 D ec 2 00 2 Metric Tensor Vs . Metric Extensor

In this paper we give a comparison between the formulation of the concept of metric for a real vector space of finite dimension in terms of tensors and extensors. A nice property of metric extensors is that they have inverses which are also themselves metric extensors. This property is not shared by metric tensors because tensors do not have inverses. We relate the definition of determinant of a metric extensor with the classical determinant of the corresponding matrix associated to the metric tensor in a given vector basis. Previous identifications of these concepts are equivocated. The use of metric extensor permits sophisticated calculations without the introduction of matrix representations.
A note on conditioned Galton-Watson trees

We give a necessary and sufficient condition for the convergence in distribution of a conditioned Galton-Watson tree to Kesten's tree. This yields elementary proofs of Kesten's result as well as other known results on local limit of conditioned Galton-Watson trees. We then apply this condition to get new results, in the critical and sub-critical cases, on the limit in distribution of a Galton-Watson tree conditioned on having a large number of individuals with out-degree in a given set.
HOMES

We describe a system that integrates querying and query transformation in a single higher-order query language. The system allows users to write queries that integrate and combine query transformations. The power of higher-order functions also allows one to succinctly write complex relational queries. Our demonstration shows the utility of the system, explains the implementation architecture on top of a relational DBMS, and explains optimizations that combine subquery caching techniques from relational databases with sharing detection schemes from functional programming.
Competitions and dynamics of duopoly wireless service providers in dynamic spectrum market

Dynamic spectrum access can significantly improve the spectrum utilization. For wireless service providers, the emergence of dynamic spectrum access brings new opportunities and challenges. The flexible spectrum acquisition gives a particular provider the chance to easily adapt its system capacity to fit end users' demand. However, the competition among several providers for both spectrum and end users complicates the situation. In this paper, we propose a general three-layer spectrum market model for the future dynamic spectrum access system, in which the interaction among spectrum holder, wireless service providers and end users are considered. We study a duopoly situation, where two wireless service providers participate in bandwidth competition in spectrum purchasing and price competition to attract end users, with the aim of maximizing their own profit. We believe we are the first one to explicitly study the relation of these two competitions in dynamic spectrum market. We formulate the wireless service providers' competition as a non-cooperative two-stage game. We first analyze the static game when full information is available for providers. Under general assumptions about the price and demand functions, a unique pure Nash equilibrium is identified as the outcome of the game, which shows the stability of the market. We further evaluate the market efficiency of the equilibrium in a symmetric case, and show that the gap with the social optimal is bounded within a small constant ratio. When the market information is limited, we provide myopically optimal adjustment algorithms for the providers. With such strategies, short term price updating converges to the Nash equilibrium of the given subgame, while long term bandwidth updating converges to a point close to the Nash equilibrium of the full game.
A simple method for phylogenetic analysis of DNA sequences

Based on neighbouring nucleotides, a method of characterizing DNA sequences is introduced. It uses a simple characteristic vector to represent the biological information of the sequence. We associate each sequence with the vector describing the frequencies of nucleotide k-word in its complete DNA sequences where k is the word's length, and thus obtain a multiple dimension feature vector. The introduced vector is applied for genetic sequences comparison and phylogenetic analysis. In the end, we choose many sequences from 20 Eutherian species and 24 coronavirus as the dataset to analyse their similarities. The results demonstrate that this method is efficient and suitable for evolutionary analysis of DNA sequences.
Using Engel curves to measure CPI bias for Indonesia

To measure real income growth over time, a price index is needed to adjust for changes in the cost of living. The consumer price index (CPI) is often used for this task; but several country studies show that it is a biased measure of such changes, leading to potentially inaccurate estimates of the rate of real income growth. This paper calculates CPI bias for urban Indonesia by estimating food Engel curves for households with the same level of CPI-deflated incomes at four different points in time between 1993 and 2008. The results suggest that CPI bias was negative during the 1997–98 crisis but has been positive since 2000. From 1993 to 2008, CPI bias averaged 4% annually, equivalent to almost one-third of the measured inflation rate.
Breast Cancer Diagnosis using Multi-Fractal Dimension Spectra

The research presented in this paper was aimed to develop a classification system of breast tumors tissues using histopathological images. The paper focuses on using the advantages of fractal geometry texture analysis. The developed approach consists of two main steps: (i) the extraction of the fractal dimension spectra for the regions of interest, and (ii) using a classifier that automatically identifies the kind of the tested breast tumor tissue. The performance of the classifier was enhanced by using k-means clustering algorithm; this algorithm was utilized to define sets of centroids, such that each set various states of a specific kind of breast tumors tissue. The classification powers of several fractal dimension spectra descriptors have been investigated. The proposed classification methods were applied on 24 different histopathological breast tumors images. The reached higher recognition accuracy was (98.8%).
Na+ current expression in human atrial myofibroblasts: identity and functional roles

In the mammalian heart fibroblasts have important functional roles in both healthy conditions and diseased states. During pathophysiological challenges, a closely related myofibroblast cell population emerges, and can have distinct, significant roles. Recently, it has been reported that human atrial myofibroblasts can express a Na+ current, INa. Some of the biophysical properties and molecular features suggest that this INa is due to expression of Nav 1.5, the same Na+ channel α subunit that generates the predominant INa in myocytes from adult mammalian heart. In principle, expression of Nav 1.5 could give rise to regenerative action potentials in the fibroblasts/myofibroblasts. This would suggest an active as opposed to passive role for fibroblasts/myofibroblasts in both the “trigger” and the “substrate” components of cardiac rhythm disturbances. Our goals in this preliminary study were: (i) to confirm and extend the electrophysiological characterization of INa in a human atrial fibroblast/myofibroblast cell population maintained in conventional 2-D tissue culture; (ii) to identify key molecular properties of the α and β subunits of these Na+ channel(s); (iii) to define the biophysical and pharmacological properties of this INa; (iv) to integrate the available multi-disciplinary data, and attempt to illustrate its functional consequences, using a mathematical model in which the human atrial myocyte is coupled via connexins to fixed numbers of fibroblasts/myofibroblasts in a syncytial arrangement. Our experimental findings confirm that a significant fraction (approximately 40–50%) of these human atrial myofibroblasts can express INa. However, our data suggest that INa may be generated by a combination of Nav 1.9, Nav 1.2, and Nav 1.5. Our results, when complemented with mathematical modeling, provide a background for re-evaluating pharmacological management of supraventricular rhythm disorders, e.g., persistent atrial fibrillation.