Miracle-dz/UniFAR-FTUs huggingface dataset:
MATERYALİZMİN STATÜ TÜKETİMİ ÜZERİNDEKİ ETKİSİNİ BELİRLEMEYE YÖNELİK BİR ARAŞTIRMA

It is a fact that especially in developed countries, people give importance to their status for showing their positions in the society or for holding a position. In addition, it is known that people aim to be respected by having products which are signs of high status. In this study, it has been aimed to measure the effect of materialism, as an indicator of people’s commitment to their material possessions, over status consumption. Also, it has been tried to analyze whether there is a relation among status consumption, materialism and demographic features or not. This study has been carried out by applying a questionnaire to people who own plasma/LCD, indicators of status. According to the results of questionnaire, people with high tendency towards materialism have high status consumption and these people are in the pursuit of avoiding plainness and of finding happiness by having material possessions.
Implicit memory and metacognition

Contents: Preface. J.F. Kihlstrom, V.A. Shames, J.D. Dorfman, Intimations of Memory and Thought. P. Graf, A.R. Birt, Explicit and Implicit Memory Retrieval: Intentions and Strategies. L.M. Reder, C.D. Schunn, Metacognition Does Not Imply Awareness: Strategy Choice Is Governed by Implicit Learning and Memory. R.S. Siegler, K.E. Adolph, P. Lemaire, Strategy Choices Across the Lifespan. J.R. Anderson, Implicit Memory and Metacognition: Why Is the Glass Half Full? L. Narens, A. Graf, T.O. Nelson, Metacognitive Aspects of Implicit/Explicit Memory. M. Funnell, J. Metcalfe, K. Tsapkini, In the Mind but Not on the Tongue: Feeling of Knowing In an Anomic Patient. E.F. Loftus, J.A. Coan, J.E. Pickrell, Manufacturing False Memories Using Bits of Reality. R.M. Dawes, On Carving Nature With Our Words. K.A. Norman, D.L. Schacter, Implicit Memory, Explicit Memory, and False Recollection: A Cognitive Neuroscience Perspective. A.P. Shimamura, The Role of the Prefrontal Cortex in Controlling and Monitoring Memory Process. J.L. McClelland, Neural Mechanisms For the Control and Monitoring of Memory: A Parallel Distributed Processing Perspective. C.M. Kelley, L.L. Jacoby, Memory Attributions: Remembering, Knowing, and Feeling of Knowing. A.S. Benjamin, R.A. Bjork, Retrieval Fluency as a Metacognitive Index. H.A. Simon, Closing Remarks.
Mixed Integer Linear Programming Formulation Techniques

A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP) problems using standard formulation techniques. However, in some cases the resulting MIP can be either too weak or too large to be effectively solved by state of the art solvers. In this survey we review advanced MIP formulation techniques that result in stronger and/or smaller formulations for a wide class of problems.
Tropomodulin is associated with the free (pointed) ends of the thin filaments in rat skeletal muscle

The length and spatial organization of thin filaments in skeletal muscle sarcomeres are precisely maintained and are essential for efficient muscle contraction. While the major structural components of skeletal muscle sarcomeres have been well characterized, the mechanisms that regulate thin filament length and spatial organization are not well understood. Tropomodulin is a new, 40.6-kD tropomyosin-binding protein from the human erythrocyte membrane skeleton that binds to one end of erythrocyte tropomyosin and blocks head-to-tail association of tropomyosin molecules along actin filaments. Here we show that rat psoas skeletal muscle contains tropomodulin based on immunoreactivity, identical apparent mobility on SDS gels, and ability to bind muscle tropomyosin. Results from immunofluorescence labeling of isolated myofibrils at resting and stretched lengths using anti-erythrocyte tropomodulin antibodies indicate that tropomodulin is localized at or near the free (pointed) ends of the thin filaments; this localization is not dependent on the presence of myosin thick filaments. Immunoblotting of supernatants and pellets obtained after extraction of myosin from myofibrils also indicates that tropomodulin remains associated with the thin filaments. 1.2-1.6 copies of muscle tropomodulin are present per thin filament in myofibrils, supporting the possibility that one or two tropomodulin molecules may be associated with the two terminal tropomyosin molecules at the pointed end of each thin filament. Although a number of proteins are associated with the barbed ends of the thin filaments at the Z disc, tropomodulin is the first protein to be specifically located at or near the pointed ends of the thin filaments. We propose that tropomodulin may cap the tropomyosin polymers at the pointed end of the thin filament and play a role in regulating thin filament length.
Genetic variability in the promoter region of TNF-α gene in the reservoir of Junin virus, Calomys musculinus (Rodentia, Cricetidae)

In this study, we assessed the genetic variability of the promoter region of TNF-α gene in three natural populations of the cricetid rodent Calomys musculinus. This species is the natural reservoir of Junin virus, the etiological agent of Argentine Hemorrhagic fever. We found different levels of variability and varying signatures of natural selection in populations with different epidemiological histories.
Visual impairment due to a dyskinetic eye movement disorder in children with dyskinetic cerebral palsy

Neurological lesions that cause dyskinetic cerebral palsy (CP) commonly involve ocular movements. This report describes a group of 14 children (nine males, five females) whose CP is associated with severe dyskinetic eye movements. Ages ranged from 4 months to 13 years (mean 6.9 years). Clinical features of this eye movement disorder are discussed and defined. The visual function of these children is slow, variable, and highly inefficient. They are often misdiagnosed as blind, due to cortical visual impairment. Early recognition of dyskinetic eye moment disorder and appropriate developmental and educational management are important.
Hierarchical learning of grids of microtopics

The counting grid is a grid of microtopics, sparse word/feature distributions. The generative model associated with the grid does not use these microtopics individually. Rather, it groups them in overlapping rectangular windows and uses these grouped microtopics as either mixture or admixture components. This paper builds upon the basic counting grid model and it shows that hierarchical reasoning helps avoid bad local minima, produces better classification accuracy and, most interestingly, allows for extraction of large numbers of coherent microtopics even from small datasets. We evaluate this in terms of consistency, diversity and clarity of the indexed content, as well as in a user study on word intrusion tasks. We demonstrate that these models work well as a technique for embedding raw images and discuss interesting parallels between hierarchical CG models and other deep architectures.
The use of extraretinal information to compensate for self-movement

It is essential for the brain to keep track of self-movement in order to establish a stable percept of the environment. The major source of information about self-movement is vision. However, non visual (extraretinal) information can also contribute to the sense of motion. This thesis investigated the role of extraretinal signals to account for self-generated motion in the case of eye movements. The interaction of two types of eye movements, i.e. smooth pursuit and saccades, was used to investigate the system's capacity to keep track of self-motion. This work focused in particular on the ability of the saccadic system to account for smooth pursuit eye movements in darkness. A detailed analysis of the saccade metrics allowed the identification of a novel neural mechanism for smooth eye movement integration. As a result, the saccadic system could compensate for smooth eye displacements and thus was able to ensure space constancy across different eye movements. In addition to the experimental approach of this thesis, a mathematical model was developed that described all current findings.
Crout Versions of ILU for General Sparse Matrices

This paper presents an efficient implementation of the incomplete LU (ILU) factorization derived from the Crout version of Gaussian elimination. At step k of the elimination, the kth row of U and the kth column of L are computed using previously computed rows of U and columns of L. The data structure and implementation borrow from already known techniques used in developing both sparse direct solution codes and incomplete Cholesky factorizations. This version of ILU can be computed much faster than standard threshold-based ILU factorizations computed rowwise or columnwise. In addition, the data structure allows efficient implementations of more rigorous and effective dropping strategies.
Public Participation in Regulatory Decision-Making

Regulations.gov is an award-winning government Web site that has democratized the federal rulemaking process by making it easier for citizens to search, read, and comment on proposed rules. Comments citizens have submitted in relation to three proposals are analyzed. The issues in each case are classified as low salience/high complexity, high salience/high complexity, and high salience/low complexity, respectively. Qualitative analysis of the comments across cases finds that they tend to be emotional, illogical, and lacking in credibility. It is suggested that if the costs of better preparing citizens to be effective participants in the regulatory decision-making process are not acceptable, the democratization experiment might best be terminated.
The role of religious beliefs and practice in the lives of older men in residential nursing homes: a case study of the role of Islam in nursing homes in Saudi Arabia and the implications for policy and practice

Increasing attention in the social science literature, particularly within the sociology of religion, psychology and gerontology is being given to the role of religion in the lives of older people. Moreover, research has repeatedly identified religion as a significant coping resource throughout human life. Through the use of the biographical narrative method of interviewing, and the subsequent thematic analysis of the data, this study focuses on the role of religious beliefs and practices in the life experiences of older men in two selected Saudi nursing homes. The research demonstrates the positive influence of religion on adjustment processes in later life in general and specifically on adjusting to life in a nursing home. The study shows that religion serves as an important thread of integration in older men's lives. As they grew older, the respondents in this research had become more religious and more involved in religious practices. The study found that religion was an important dimension in their everyday life. All of them had integrated religious beliefs and practices into their lives to help them respond positively to the difficulties which they experienced. Above all, they strongly believed that leading a religious (Islamic) life was their duty as Muslims and this would also lead to their being rewarded by God in the Hereafter, as they believed that a truly happy life would come after death. Based upon its findings, the study highlights the need to acknowledge the importance of religion in the social care provision for older people in Saudi Arabia, for example, in counselling, in social work provision in general and within residential homes for older men in particular.
Smoke-free households with children and decreasing rates of paediatric clinical encounters for otitis media in the United States

Objective Temporal trends in paediatric encounters for otitis media (OM) were last characterised and observed to be steadily increasing from 1975 to the mid-1990s. The present study uses an ecological design to quantify trends in paediatric encounters for OM concurrent with a period of decline of an important risk factor, secondhand smoke (SHS) exposure among children. Patients and methods Annual paediatric ambulatory visit and hospital discharge rates for children ≤6 years with OM as primary diagnosis were computed with nationally representative data for 1993–2006. Percentages of households with children ≤6 years and no-smoking rules were computed using Tobacco Use Supplement to the Current Population Survey data. Average annual percentage changes were determined for covariate-adjusted rates of paediatric encounters for OM using joinpoint analysis. Results While percentages of homes with children and no-smoking rules increased by 89% from 45.5% in 1993 to 86.1% in 2006, average annual covariate-adjusted paediatric encounters for OM decreased by 4.6% (95% CI 4.5% to 4.8%) for ambulatory visits and by 9.8% (95% CI 9.1% to 10.6%) for hospital discharges. Coverage by 7-valent pneumococcal conjugate vaccination (PCV7) increased since 2002, while little variation occurred in other potentially associated risk factors. Conclusions Paediatric encounter rates for OM decreased steadily over a 13-year period reversing a previously reported long-term increasing trend reported. Reduced SHS exposure, PCV7 coverage since 2002 and other factors may have contributed to the decline. Further research is needed to provide direct estimates of paediatric encounter rates in exposed and unexposed populations for causal inference.
Network intrusion detection using an improved competitive learning neural network

The paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. The performance of this approach is compared to that of the self-organizing map (SOM), which is a popular unsupervised training algorithm used in intrusion detection. While obtaining a similarly accurate detection rate as the SOM does, the proposed approach uses only one fourth of the computation time of the SOM. Furthermore, the clustering result of this method is independent of the number of the initial neurons. This approach also exhibits the ability to detect known and unknown network attacks. The experimental results obtained by applying this approach to the KDD-99 data set demonstrate that the proposed approach performs exceptionally in terms of both accuracy and computation time.
Longitudinal Analyses of a Hierarchical Model of Peer Social Competence for Preschool Children: Structural Fidelity and External Correlates

Achieving consensus on the definition and measurement of social competence (SC) for preschool children has proven difficult in the developmental sciences. We tested a hierarchical model in which SC is assumed to be a second-order latent variable by using longitudinal data (N = 345). We also tested the degree to which peer SC at Time 1 predicted changes in positive adjustment from Time 1 to Time 2, based on teacher and peer ratings. Using a multiple-method data-collection strategy, information for three subdomains of SC (social engagement/motivation, profiles of social interaction and personality assets assessed with Q-sorts, peer acceptance) were collected across consecutive years in preschool programs. Longitudinal confirmatory factor analyses (CFAs) demonstrated invariance of both the measurement and the structural models across age levels and yielded a cross-time path weight of . 74 for the second-order factor. Analyses of latent means suggested significant increases in SC scores from the first year to second year of participation, and longitudinal cases in their second year of participation had higher scores than did age peers who entered the program as older children. Finally, Time 1 SC predicted increases from Time 1 to Time 2 for SC-relevant indicators rated by teachers and peers (standardized path coefficient of .29, p < .001).
Characterization of an Arabidopsis Enzyme Family That Conjugates Amino Acids to Indole-3-Acetic Acidw⃞

Substantial evidence indicates that amino acid conjugates of indole-3-acetic acid (IAA) function in auxin homeostasis, yet the plant enzymes involved in their biosynthesis have not been identified. We tested whether several Arabidopsis thaliana enzymes that are related to the auxin-induced soybean (Glycine max) GH3 gene product synthesize IAA–amino acid conjugates. In vitro reactions with six recombinant GH3 enzymes produced IAA conjugates with several amino acids, based on thin layer chromatography. The identity of the Ala, Asp, Phe, and Trp conjugates was verified by gas chromatography–mass spectrometry. Insertional mutations in GH3.1, GH3.2, GH3.5, and GH3.17 resulted in modestly increased sensitivity to IAA in seedling root. Overexpression of GH3.6 in the activation-tagged mutant dfl1-D did not significantly alter IAA level but resulted in 3.2- and 4.5-fold more IAA-Asp than in wild-type seedlings and mature leaves, respectively. In addition to IAA, dfl1-D was less sensitive to indole-3-butyric acid and naphthaleneacetic acid, consistent with the fact that GH3.6 was active on each of these auxins. By contrast, GH3.6 and the other five enzymes tested were inactive on halogenated auxins, and dfl1-D was not resistant to these. This evidence establishes that several GH3 genes encode IAA-amido synthetases, which help to maintain auxin homeostasis by conjugating excess IAA to amino acids.
FPGA Implementation(s) of a Scalable Encryption Algorithm

SEA is a scalable encryption algorithm targeted for small embedded applications. It was initially designed for software implementations in controllers, smart cards, or processors. In this letter, we investigate its performances in field-programmable gate array (FPGA) devices. For this purpose, a loop architecture of the block cipher is presented. Beyond its low cost performances, a significant advantage of the proposed architecture is its full flexibility for any parameter of the scalable encryption algorithm, taking advantage of generic VHDL coding. The letter also carefully describes the implementation details allowing us to keep small area requirements. Finally, a comparative performance discussion of SEA with the advanced encryption standard Rijndael and (a cipher purposed for efficient FPGA implementations) is proposed. It illustrates the interest of platform/context-oriented block cipher design and, as far as SEA is concerned, its low area requirements and reasonable efficiency.
Learning Structures of Biological Processes with Joint Inference

I. INTRODUCTION Biological Processes involves a series of events and entities that are related to one another. Current state-of-the-art question answering systems can handle bio questions about atomic facts (such as In the fungi life cycle, what cells form a diploid zygote? ), but are unable to answer more complex " how " and " why " questions that involve deep understanding of the process structure. This project seeks to address this problem by having the computer read and construct structures of biological processes from text. Specifically, the structure includes event-event relation and event-entity association, which can be thought of as graph with edges. The edge between two events describes temporal, causal or coreferent relation. The edge between an event and an entity exists if the entity is associated with (an argument of) the event. Thus, the event-event relation prediction is a multi-class classification while the event-entity relation is binary. In this project, we aim to predict the events, entities associated with events, and event-event relations at the same time through joint inference in the hope of lowering cascading errors introduced from the pipeline framework [5], i.e. predict entities and inter-event relations based on the event prediction. The joint inference problem is formulated using integer linear programming (ILP) and solved by Gurobi [1]. The insights from extensive error analyses are incorporated to improve the system. In the end, the joint inference system achieves better performance (F1 score) than the pipeline system, which suggests further exploration of join inference in our future work.
Inequality-adjusted Human Development Index for India ’ s States 2011

Disclaimer: The views in the publication are those of the authors' and do not necessarily reflect those of the United Nations Development Programme. Acknowledgements The ranking of countries on human development indices presented in Global Human Development Reports annually since 1990 has captured the imagination of policy makers, development practitioners and civil society alike. Progress on the Human Development Index (HDI) is often cited in national and international debates as a benchmark of a country's progress on key development indicators. The 20 th anniversary edition of the Global Human Development Report released in 2010 The Real Wealth of Nations: Pathways to Human Development introduced three new measures of human development in response to the demand that distributional concerns be integrated into measuring human development outcomes. The Inequality adjusted Human Development Index (IHDI) represents one such index which explicitly accounts for inequalities. This discussion paper provides for the first time, IHDI estimates for Indian states following the methodology proposed in the 2010 Human Development Report. The IHDI is particularly critical in the Indian context because average indicators mask inequalities in human development attainments across India's states. The task of calculating IHDI at the state level has been a challenging one. On behalf of the authors, we would like to thank Tushar Agrawal for arriving at estimates of average years of schooling and inequality in education and S. Chandrasekhar for estimates of school life expectancy. Many thanks to P. Arokiasamy, Ashwini Deshpande, Deepa Sankar and to the UNDP India team, in particular, Meenakshi Kathel and Ritu Mathur for their insights and comments and to Meenaz Munshi for editorial support. We would like to take this opportunity to thank the lead authors of this paper. Abstract The 2010 UNDP Global Human Development Report The Real Wealth of Nations: Pathways to Human Development introduced a new index, the Inequality-adjusted HDI aimed at capturing the distributional dimensions of human development. Three dimensions of HDI i.e. income, education and health are adjusted for inequalities in attainments across people. Globally, India is ranked 119 out of 169 countries but loses 32 percent of its value when adjusted for inequalities. Amidst growing concern over these persistent inequalities, and in light of government emphasis on inclusive growth, this paper calculates the HDI and Inequality-adjusted HDI for states in India. The methodology adopted is similar to the approach of the HDR 2010 and data utilized from different rounds of the …
Modeling and analysis of a thermal management system for engine calibration

Controlling engine coolant and oil temperatures to desired values is critical to effective engine calibration on a dynamometer. Because of the large time constants associated with thermodynamic systems, the slow response of coolant and oil temperature often represents a bottleneck in improving engine mapping and calibration efficiency. Nonlinearities in component characteristics, together with varying operating conditions, render the simple PID controller ineffective, thereby motivating a model-based strategy. In this paper, we present a dynamic model of a thermal management system that involves both heat exchangers and heaters. The model is developed using thermodynamic principles and parameter identification techniques, and has been validated using experimental data. Based on the validated model, we present the system analysis results that have significant implications to system performance and subsequent control strategy development. It is worth noting that the dynamometer based model presented here may also be applied to the modeling of an in-vehicle cooling system