Miracle-dz/UniFAR-FTUs huggingface dataset:
Aspect Summarization from Blogsphere for Social Study

In this paper, we study the problem of summarizing reasons from blogsphere for social study. We regard weblogs as a source for collecting non-discrete public opinions, where genuine reasons/aspects can be found. To extract the reason inside the blogs, we define four tasks: irrelevant blog filtering, reason/non-reason classification, polarity identification, and reason summarization. We solve the reason/non-reason classification problem by selecting a set of topic related words and brief the reasons by clustering paragraphs containing aspects after sentiment classification. Initial experiments on two topics show an encouraging result on the proposed framework. Keywords: weblogs, social study, opinion extraction, reason summarization, text mining, sentiment classicization
Near-Infrared Galaxy Counts to J and K ~ 24 as a Function of Image Size

We have used the Keck 10 m telescope to count objects as a function of image size in two high Galactic latitude fields covering 1.5 arcmin2 and reaching 50% completeness depths of K = 24 and J = 24.5 for stellar sources. Our counts extend ~1 mag deeper in K than those of surveys with other telescopes; complement other Keck surveys in the K-band that provide counts at comparable or shallower depths but that have not utilized image structure; and extend by several magnitudes the J-band counts from brighter surveys using smaller telescopes that cover larger areas. We find the surface density of objects at K = 23 to be higher than previously found (~500,000 mag-1 deg-2), but at K < 22 to be consistent with other surveys. The slope of the K-band counts (d log A/dm = 0.36) is similar to others near this depth as well as to our own J-band counts (0.35). Counts in the J- and K-bands are both in excess of our empirical no-evolution models for an open universe, with the largest excess observed in J. The counts are a factor of 2 higher than mild-evolution models at J and K ~ 23. The slope of the model counts is insensitive to the assumed geometry even in the near-infrared primarily because the model counts are dominated by low-luminosity (<0.1L*) objects at modest redshift (z < 1) with small apparent sizes (half-light radii ≤ 0.″4, i.e., <4 h50−1 kpc). The numbers of observed counts rise most steeply for these smaller objects, which dominate the counts fainter than K = 22.3 and J = 23.3. However, the greatest excess relative to no-evolution models occurs for the apparently larger objects, which have a median J-K of ~1.5. At these depths, the size and colors of such objects correspond equally well to luminous (≥0.1L*) blue galaxies at 1 < z < 4, or progressively more diffuse, blue, low-luminosity (0.001-0.1L*) galaxies at z < 1. The majority of these sources are too faint for spectroscopic measurement. Based on optical colors, we can rule out the possibility that the excess is caused by very low luminosity (<0.0001L*) red galaxies at z < 0.25. We also find a deficit of galaxies with red J-K colors corresponding to nonevolving, luminous, early-type (i.e., "red envelope") galaxies at 1 < z < 3. Even assuming that the deficit is caused by their appearance as blue galaxies, they could account for only 10%-30% of the excess of large, blue galaxies. The nature and redshift distribution of excess large and small galaxy populations at K = 24 and J = 24.5 remain indeterminate from these data alone.
Optimization by means of genetic algorithms

Genetic Algorithms (GAs) are powerful heuristic search strategies based upon a simple model of organic evolution. The basic working scheme of GAs as developed by Holland Hol75] is described within this paper in a formal way, and extensions based upon the second-level learning principle for strategy parameters as introduced in Evolution Strategies (ESs) are proposed. First experimental results concerning this extension of GAs are also reported.
Gender respect: Empirical insights for (moral) educators about women’s struggles for respect in the Global South

Abstract Promoting gender respect is essential to the development of both sexes and to gender equality. This article argues for the importance of moral education to support the struggle of girls and women to achieve respect within unequal and complex gender power relations, especially in poverty contexts. Evidence collected from a sequence of in-depth qualitative studies in the Global South highlights the diverse ways that the giving of respect and the struggle to be respected shapes women’s lives. We show that moral education has a role to play in foregrounding female voices in order to: better understand the poverty-gender-education nexus; recognise the contribution of women and mothers as moral educators; acknowledge girls’ struggles to gain self-respect, peer respect and mitigate disrespect; and, ensure sexual respect despite aggressive masculinities. Moral education programmes which encourage respectful relations between the sexes need to address these highly contextualised forms of struggles for ‘gender respect’.
Gray Sheep, Influential Users, User Modeling and Recommender System Adoption by Startups

This proposed thesis work explores two research areas in the domain of Recommender Systems [RS] , algorithms and their real world applications. First is related to identification of Gray Sheep [GS] users and Influential Users [IU] in any system using different personality models and also creating psychographic profile of such users. The second part of this work is an empirical study to find out the determinant of RS adoption in Start-ups context of developing nations, by using diffusion of innovation (DOI) theory and Technology-Organization-Environment (TOE) frameworks.
Carrier Screening is a Deficient Strategy for Determining Sperm Donor Eligibility and Reducing Risk of Disease in Recipient Children

Aims: DNA-based carrier screening is a standard component of donor eligibility protocols practiced by U.S. sperm banks. Applicants who test positive for carrying a recessive disease mutation are typically disqualified. The aim of our study was to examine the utility of a range of screening panels adopted by the industry and the effectiveness of the screening paradigm in reducing a future child's risk of inheriting disease. Methods: A cohort of 27 donor applicants, who tested negative on an initial cystic fibrosis carrier test, was further screened with three expanded commercial carrier testing panels. These results were then compared to a systematic analysis of the applicants' DNA using next-generation sequencing (NGS) data. Results: The carrier panels detected serious pediatric disease mutations in one, four, or six donor applicants. Because each panel screens distinct regions of the genome, no single donor was uniformly identified as carrier positive by all three panels. In contrast, systematic NGS analysis identified all donors as carriers of one or more mutations associated with severe monogenic pediatric disease. These included 30 variants classified as “pathogenic” based on clinical observation and 66 with a high likelihood of causing gene dysfunction. Conclusion: Despite tremendous advances in variant identification, understanding, and analysis, the vast majority of disease-causing mutation combinations remain undetected by commercial carrier screening panels, which cover a narrow, and often distinct, subset of genes and mutations. The biological reality is that all donors and recipients carry serious recessive disease mutations. This challenges the utility of any screening protocol that anchors donor eligibility to carrier status. A more effective approach to reducing recessive disease risk would consider joint comprehensive analysis of both donor and recipient disease mutations. This type of high-resolution recessive disease risk analysis is now available and affordable, but industry practice must be modified to incorporate its use.
The Relationship Between Executive Functions with Reading Difficulties in Children with Specific Learning Disorder

Background: Determining the impact of executive dysfunction on reading defects in children with reading and learning disabilities can tremenddously help their treatment. In the recent decade, the role of executive functions has been considered very important and fundamental; following those considerations, therefore, the aim of this study is to determine the relationship between executive functions and problems with reading in children with specific learning disorders. Objectives: This study aims to investigate the relationship between executive functions with reading difficulties in children with specific learning disorders. Methods: In this cross-sectional study, 29 children with specific learning disorders were selected by the NAMA Reading and Dyslexia Test. The Tower of London test, the Stroop Color and Word test, and the Wisconsin Sorting Card test were then utilized to test the subjects. To analyze the data, the Partial Least Squares method was used with P < 0.05 in Smart PLS version 2. Results: Our study showed that in children with specific learning disorders there were significant relationships between selective attention and reading problems (P < 0.05) as well as between planning and problems reading (P < 0.05). However, there was no significant relationship between cognitive flexibility and problems reading in children with learning disorders (P < 0.05). Discussion: The results of this study suggest that executive functions play an important role in reading problems of children with a specific learning disorder. In treating these children,, considerable attention should be paid to improve the executive functions.
Generalized trade reduction mechanisms

When designing a mechanism there are several desirable properties tomaintain such as incentive compatibility (IC), individual rationality (IR), and budget balance (BB). It is well known [15] that it is impossible for a mechanism to maximize social welfare whilst also being IR, IC, and BB. There have been several attempts to circumvent [15] by trading welfare for BB, e.g.,in domains such as double-sided auctions [13], distributed markets [3] and supply chain problems [2, 4]. In this paper we provide a procedure called a Generalized Trade Reduction (GTR) for single-value players, which given an IR and IC mechanism, outputs a mechanism which is IR, IC and BB with a loss of welfare. We bound the welfare achieved by our procedure for a wide range of domains. In particular, our resultsimprove on existing solutions for problems such as double sidedmarkets with homogenous goods, distributed markets and several kinds of supply chains. Furthermore, our solution provides budget balanced mechanisms for several open problems such as combinatorial double-sided auctions and distributed markets with strategic transportation edges.
A proof of the Hoggatt-Bergum conjecture

It is proved that if k and d are positive integers such that the product of any two distinct elements of the set {F2k, F2k+2, F2k+4, d} increased by 1 is a perfect square, than d has to be 4F2k+1F2k+2F2k+3. This is a generalization of the theorem of Baker and Davenport for k = 1.
Myelination and Isochronicity in Neural Networks

Our brain contains a multiplicity of neuronal networks. In many of these, information sent from presynaptic neurons travels through a variety of pathways of different distances, yet arrives at the postsynaptic cells at the same time. Such isochronicity is achieved either by changes in the conduction velocity of axons or by lengthening the axonal path to compensate for fast conduction. To regulate the conduction velocity, a change in the extent of myelination has recently been proposed in thalamocortical and other pathways. This is in addition to a change in the axonal diameter, a previously identified, more accepted mechanism. Thus, myelination is not a simple means of insulation or acceleration of impulse conduction, but it is rather an exquisite way of actively regulating the timing of communication among various neuronal connections with different length.
A Forward-Backward Approach for Instantaneous Frequency Estimation of Frequency Modulated Signals in Noisy Environment

In this paper a forwardbackward basis function approach for instantaneous frequency estimation of the frequency-modulated signal in noisy environment is presented. At first, a forwardbackward prediction approach is applied for least squares estimation of time-varying autoregressive parameters. A time-varying parameters are expressed as a summation of constants multiplied by basis functions. Then, the time-varying frequencies are extracted from the time-varying autoregressive parameters by calculating the angles of the estimation error filter polynomial roots. The experimental results are presented, which shows the superiority of the proposed method against the covariance (forward prediction) approach.
Physical-statistical model for the land mobile-satellite channel applied to satellite/HAP-MIMO

This paper derives a physical-statistical land mobile-satellite/HAP propagation channel model that can predict joint statistical time series and power-spatial-delay profile data in a multi-antenna mobile, multi-satellite scenario, and is compared with published measurement data. The model is then used to estimate the required satellite and HAP antenna separation to achieve an uncorrelated Satellite-MIMO or HAP-MIMO channel matrix. An estimation of the capacity increase of a dual transmit, dual receive MIMO system over a SISO system is also provided using the model.
Investigating the Longitudinal Effects of a Core Mathematics Program on Evidence-Based Teaching Practices in Mathematics

Accumulating research has established explicit mathematics instruction as an evidence-based teaching practice. This study utilized observation data from a multi-year efficacy trial to examine the longitudinal effects of a core kindergarten mathematics program on the use of explicit mathematics instruction among two distinct groups of teachers: one group that used standard practices in Year 1 of the efficacy trial and the core program in Year 2, and a second group that used the core program in both years. Targeted teaching practices consisted of teacher models, student practice opportunities, and teacher-provided academic feedback. Implementation of the program in Year 2 was found to increase the mean rates of teaching practices of teachers who used standard teaching practices in Year 1. Effect sizes are also suggestive of a positive impact of a second year of implementation with the core program. Implications for designing explicit mathematics programs and investigating evidence-based practices in future research are discussed.
Depressive symptoms and atypical jobs in France, from the 2003 Decennial health survey.

BACKGROUND The objective is to study the relations between depressive symptoms and atypical jobs in the working population in France and to determine if these associations might be linked with psychosocial and organizational constraints. METHODS The data come from the 2003 Decennial health survey and concern 11,895 workers. Depressive symptoms were measured by the CES-D scale. Atypical jobs were defined by employment status (fixed-term or temporary job contract, permanent job contract, self-employed) and by part-time work during working life (involuntary or chosen). Working conditions related to atypical hours and psychosocial factors were also studied. RESULTS For both sexes, involuntary part-time work was associated with a higher frequency of depressive symptoms, but part-time work by choice was not. Fixed-term contracts were associated with depressive symptoms only in women. All of these associations persisted after adjustment for psychosocial and organizational factors. CONCLUSION The associations between atypical jobs and depressive symptoms differ for job status according to sex and do not seem to be associated with the worst psychosocial working conditions. The interpretation of these results is nonetheless limited in part by the cross-sectional nature of the survey.
Structure Formation and the Time Dependence of Quintessence

We discuss the influence of dark energy on structure formation, especially the effects on \sigma_8. Our interest is particularly focused on quintessence models with time-dependent equation of state and non-negligible quintessence component in the early universe. We obtain an analytic expression for \sigma_8 valid for a large class of dark energy models. We conclude that structure formation is a good indicator for the history of dark energy and use our results to set constraints on quintessence models.
New Effective Multithreaded Matching Algorithms

Matching is an important combinatorial problem with a number of applications in areas such as community detection, sparse linear algebra, and network alignment. Since computing optimal matchings can be very time consuming, several fast approximation algorithms, both sequential and parallel, have been suggested. Common to the algorithms giving the best solutions is that they tend to be sequential by nature, while algorithms more suitable for parallel computation give solutions of lower quality. We present a new simple 1/2-approximation algorithm for the weighted matching problem. This algorithm is both faster than any other suggested sequential 1/2-approximation algorithm on almost all inputs and when parallelized also scales better than previous multithreaded algorithms. We further extend this to a general scalable multithreaded algorithm that computes matchings of weight comparable with the best sequential deterministic algorithms. The performance of the suggested algorithms is documented through extensive experiments on different multithreaded architectures.
Semantic Web Enabled Resource Scheduler: An Approach Using Temporal Extensions to Ontologies

The semantic Web and agent technologies have provided new possibilities and challenges to automatic information processing. This paper presents the architecture of semantic Web enabled resource scheduler that uses agent technology and semantic web framework to perform assigned tasks of scheduling with minimal human intervention. Temporal extensions to ontologies are used for capturing change in knowledge and thereby providing information to the scheduler agent for taking the appropriate decision. For retrieving the temporal knowledge new clauses are proposed to enhance SPARQL. A formal approach is presented for using temporal knowledge to empower the system with self learning capability. Academic event scheduler is implemented to validate the architecture of resource scheduler and analyzed results are presented. The presented architecture is scalable, portable, and modular and can be customized for any domain.
A Parallel Implementation of Rsa

Performing RSA public and private key operations fast is increasingly important. In this paper I describe an eecient implementation of RSA for a highly parallel computer. I present a new algorithm for modular multiplication using a residue number system (RNS) and a variation of Montgomery's method. The heart of the algorithm is a new method for converting from one RNS to another.
Applying genetic algorithm to modeling nonlinear transfer functions

A genetic algorithm (GA) technique for the approximation of nonlinear transfer functions is proposed in this paper. It is shown that the GA approximation method gives better accuracy than the classical Chebyshev approximation, which is sometimes considered to be the best one on the minimax criterion. Application of this technique to behavioral-level simulation is also discussed.
Reading level attenuates differences in neuropsychological test performance between African American and White elders

The current study sought to determine if discrepancies in quality of education could explain differences in cognitive test scores between African American and White elders matched on years of education. A comprehensive neuropsychological battery was administered to a sample of African American and non-Hispanic White participants in an epidemiological study of normal aging and dementia in the Northern Manhattan community. All participants were diagnosed as nondemented by a neurologist, and had no history of Parkinson's disease, stroke, mental illness, or head injury. The Reading Recognition subtest from the Wide Range Achievement Test–Version 3 was used as an estimate of quality of education. A MANOVA revealed that African American elders obtained significantly lower scores than Whites on measures of word list learning and memory, figure memory, abstract reasoning, fluency, and visuospatial skill even though the groups were matched on years of education. However, after adjusting the scores for WRAT–3 reading score, the overall effect of race was greatly reduced and racial differences on all tests (except category fluency and a drawing measure) became nonsignificant. These findings suggest that years of education is an inadequate measure of the educational experience among multicultural elders, and that adjusting for quality of education may improve the specificity of certain neuropsychological measures. (JINS, 2002, 8, 341–348.)
Towards Awareness in the Large

Management of shared artifacts is critical to ensure the correct integration and behavior of code created by multiple teams working in concert. Awareness of inter-team development activities and their effects on shared artifacts provides developers the opportunity to detect potential integration problems earlier and take proactive steps to avoid these conflicts. However, current awareness tools do not provide such kinds of awareness making them unsuitable for global software development. In this paper, we discuss their drawbacks, present three strategies to make them suitable for global settings, and illustrate these strategies through a new view for Palantir that better addresses awareness in the large
Parental Divorce and College Students’ Persistence and Degree Attainment

ABSTRACT The purpose of this study is to analyze whether college students from divorced families are more or less likely than their peers to persist and graduate in 4, 5, or 6 years. Utilizing data from the 2007 Cooperative Institutional Research Program survey of first-year students, the results of multinomial logistic regression analyses suggest that students whose parents were divorced were significantly less likely to graduate in 4, 5, or 6 years. These findings held controlling for demographic variables, precollege academic indicators, college experiences, and academic motivation.