Miracle-dz/UniFAR-FTUs huggingface dataset:
Coping with Daily Hassles in the Peer Group during Early Adolescence: Variations as a Function of Peer Experience.

Coping strategy use within the peer domain was examined to determine whether adolescents of varying levels of peer experience cope differently with their daily hassles. Two distinct behavioral profiles were examined: aggressive behavior and socially withdrawn behavior. It was hypothesized that these 2 behavioral profiles (in conjunction with overall popularity within the peer group) would predict differential coping strategy use in the peer domain. It was also expected that perceived control would mediate the association between peer experience and coping. Grade 7 students from a regional high school (N = 249) participated in 2 group testing sessions. During the 1st session, students completed peer ratings of likability and social behavior; during the 2nd session, students provided written accounts of 3 recent daily hassles experienced within the peer group, indicating how they appraised each hassle and how they coped. As expected, more aggressive adolescents perceived more control over their peer hassles.
Managing His Aspirations: The Labour and Republican Politics of Paddy Devlin

This article explores the diverging Labour and republican politics of Paddy Devlin. It argues Devlin downplays his Irish republican past, especially in his autobiography, in favour of a Labour profile he retrospectively regards as preferable. It assesses different phases of his career, from the Northern Ireland Labour Party and the Social Democratic and Labour Party, to the time of the 1981 hunger strikes and pronouncements beyond. The article contends that Devlin's militant background and proximity to conflict, particularly during the Troubles, moulds a protean and complex realpolitik persona, often accommodating both unionism and militant republicanism. Devlin's individualist credo is compared with other figures throughout the political spectrum. While this piece demonstrates how and why Devlin steers clear of re-embracing physical force methods, it nonetheless highlights the way it is impossible to ignore the republican impulse of his upbringing and how Devlin's political journey is frequently, though not always, determined by emotional and personal ties.
Online Localization and Mapping with Moving Object Tracking in Dynamic Outdoor Environments

In this paper, we present a real-time algorithm for online simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) in dynamic outdoor environments from a moving vehicle equipped with laser sensor and odometry. To correct vehicle location from odometry we introduce a new fast implementation of incremental scan matching method that can work reliably in dynamic outdoor environments. After a good vehicle location is estimated, the surrounding map is updated incrementally and moving objects are detected without a priori knowledge of the targets. Detected moving objects are finally tracked using global nearest neighborhood (GNN) method. The experimental results on datasets collected from different scenarios such as: urban streets, country roads and highways demonstrate the efficiency of the proposed algorithm.
Horizontal Gene Transfer to Endogenous Endophytic Bacteria from Poplar Improves Phytoremediation of Toluene

ABSTRACT Poplar, a plant species frequently used for phytoremediation of groundwater contaminated with organic solvents, was inoculated with the endophyte Burkholderia cepacia VM1468. This strain, whose natural host is yellow lupine, contains the pTOM-Bu61 plasmid coding for constitutively expressed toluene degradation. Noninoculated plants or plants inoculated with the soil bacterium B. cepacia Bu61(pTOM-Bu61) were used as controls. Inoculation of poplar had a positive effect on plant growth in the presence of toluene and reduced the amount of toluene released via evapotranspiration. These effects were more dramatic for VM1468, the endophytic strain, than for Bu61. Remarkably, none of the strains became established at detectable levels in the endophytic community, but there was horizontal gene transfer of pTOM-Bu61 to different members of the endogenous endophytic community, both in the presence and in the absence of toluene. This work is the first report of in planta horizontal gene transfer among plant-associated endophytic bacteria and demonstrates that such transfer could be used to change natural endophytic microbial communities in order to improve the remediation of environmental insults.
Preventing Large Sojourn Times Using SMART Scheduling

Recently, the so-called class of SMART scheduling policies has been introduced to formalize the common heuristic of “biasing toward small jobs. ” We study the tail of the sojourn-time (response-time) distribution under both SMART policies and the foreground-background policy (FB) in the GI/GI/1 queue. We prove that these policies behave very well under heavy-tailed service times. Specifically, we show that the sojourn-time tail under all SMART policies and FB is similar to that of the service-time tail, up to a constant, which makes the SMART class superior to first-come-first-served (FCFS). In contrast, for light-tailed service times, we prove that the sojourn-time tail under FB and SMART is larger than that under FCFS. However, we show that the sojourn-time tail for a job of size y under FB and all SMART policies still outperforms FCFS as long as y is not too large.
Enabling interposer-based disintegration of multi-core processors

Silicon interposers enable the integration of multiple stacks of in-package memory to provide higher bandwidth or lower energy for memory accesses. Once the interposer has been paid for, there are new opportunities to exploit the interposer. Recent work considers using the routing resources of the interposer to improve the network-on-chip's (NoC) capabilities. In this work, we exploit the interposer to "disintegrate" a multi-core CPU chip into smaller chips that individually and collectively cost less to manufacture than a single large chip. However, this fragments the overall NoC, which decreases performance as core-to-core messages between chips must now route through the interposer. We study the performance-cost trade-offs of interposer based, multi-chip, multi-core systems and propose new interposer NoC organizations to mitigate the performance challenges while preserving the cost benefits.
Parameterized Freeform Shape Design and Deformation

Deformation is the most widely used in product design. Interactive free-form deformation (FFD), however, is often difficult to generate a desired result by designers. And it can not explicitly specify the degree of deformations such as angle of bend. Therefore, in order to solve these problems, a parametric deformation method driven by nature product definition parameters is presented in the paper. It consists of two phases. Firstly, based on mesh segmentation using feature point and core extraction, the proposed method extracts some product definition parameters automatically. Secondly, regarding these parameters as hard constraints, the deformation process is stably and precisely performed by the constraint optimization. Comparing to previous FFD methods, the proposed method has several distinctive benefits: designers can get the expected deformation efficiently, and then form the product family easily. Finally, shoe industry application of the method in product design is demonstrated. The dimension and style of shoe-last can be changed rapidly to achieve new product design by editing parameters.
PERFORMANCE-DRIVEN ENTROPIC INFORMATION FUSION

Advances in technology have resulted in acquisition and subsequent fusion of data from multiple sensors of possibly different modalities. Fusing data acquired from different sensors occurs near the front end of sensing systems and therefore can become a critical bottleneck. It is therefore crucial to quantify the performance of sensor fusion. Information fusion involves estimating and optimizing an information criterion over a transformation that maps data from from one sensor data to another. It is crucial to the task of fusion to estimate divergence to a high degree of accuracy and to quantify error in the estimate. To this end, we propose a class of plug-in estimators based on k -nearest neighbor ( k -NN) graphs for estimating divergence. For this class of estimators, we derive a large sample theory for the bias and variance and develop a joint central limit theorem for the distribution of the estimators over the domain of the transformation space. In this paper, we apply our theory to two applications: (i) detection of anomalies in wireless sensor networks and (ii) fusion of hyperspectral images of geographic images using intrinsic di-mension.
Supply Function Equilibrium with Taxed Benefits

Supply function equilibrium models are used to study electricity market auctions with uncertain demand. We study the effects on the supply function equilibrium of a tax, levied by the system operator, on the observed surplus of producers. Such a tax provides an incentive for producers to alter their offers to avoid the tax. We consider these incentives under both strategic and price-taking assumptions. The model is extended to a setting in which producers are taxed on the benefits accruing to them from a transmission line expansion (a beneficiaries-pay transmission charge). In this setting, we show how this tax may lead to lower prices in equilibrium.
Exploring the Development of College Students' Situational Interest in Learning Science

This quasi-experimental study explores how student cumulative situational interest, short-term preference generated by particular conditions such as novel experiences can be developed into better individual interest, an enduring predisposition to engage in certain activity such as chemistry lessons. A continuous intervention of integrating novelty and aesthetic experience into teaching was used for the experimental group (n = 64) while another class of 105 students studying another course of physical science without the intervention of novelty and aesthetics served as a comparison group. The analysis of covariance comparing the two group students' pre- and post-test perceptions of learning science revealed that the experimental group outperformed the comparison group in their perceptions of interest, enjoyment, and aesthetics. The weekly assessment of student situational interest indicated that the experimental group students' situational interests were well maintained by two leading learning activities: demonstrations and hands-on experiments with novelty and aesthetic experience. The above results provide empirical evidence to support the theory of interest development, which proposes that the development goes through a cumulative and progressive procedure.
Demand Estimation Under Incomplete Product Availability

Incomplete product availability is an important feature of many markets; ignoring changes in availability may bias demand estimates. We study a new dataset from a wireless inventory system installed on 54 vending machines to track product availability every four hours. The data allow us to account for product availability when estimating demand, and provides a valuable source of variation for identifying substitution patterns. We develop a procedure that allows for changes in product availability even when availability is only observed periodically. We find significant differences in demand estimates, with the corrected model predicting significantly larger impacts of stock-outs on profitability.
Application of genetic algorithm for rectangular object layout optimization

Rectangular object layout is not a simple NP (nondeterministic polynomial) optimization problem because of the practical production rules, such as guillotine. Under some situations, the guillotine is even more important than the pure using ratio of metal sheets. To improve the using ratio of stock sheets and to reduce the production costs, the genetic algorithm is adopted to optimize rectangular object layout on stock sheets. The purpose of this paper is to construct the model of genetic algorithm and design the genetic operators. Combined with the lowest horizontal line- search algorithm, genetic algorithm model is applied into rectangular object layout optimization. Results show that the model in the paper can satisfy not only the practical production requirements of guillotine, but also the requirement for production convenience. In this way, user can get optimal layout results effectively and quickly and a higher material using ratio at the same time for normal production practice.
Evaluating Public Discourse in Newspaper Opinion Articles: Values-Framing and Integrative Complexity in Substance and Health Policy Issues

The exchange of opinions is an important component of participatory democracies, and newspaper forum pages have been hailed as a conduit for such discussion. This research explored Schwartz's value framework to characterize lay and journalist frames in a national sample of local newspapers. A content analysis was conducted on newspaper forum articles on health policy issues—notably, alcohol, tobacco, illegal drugs, and crime—for the presence and complexity of value frames. Significant differences in values were found by article type and topic. Values typically associated with liberalism were also predictive of greater integrative complexity.
Unsupervised Translation Induction for Chinese Abbreviations using Monolingual Corpora

Chinese abbreviations are widely used in modern Chinese texts. Compared with English abbreviations (which are mostly acronyms and truncations), the formation of Chinese abbreviations is much more complex. Due to the richness of Chinese abbreviations, many of them may not appear in available parallel corpora, in which case current machine translation systems simply treat them as unknown words and leave them untranslated. In this paper, we present a novel unsupervised method that automatically extractsthe relation between a full-form phrase and its abbreviation from monolingual corpora, and induces translation entries for the abbreviation by using its full-form as a bridge. Our method does not requireany additionalannotateddata other than the data that a regular translation system uses. We integrate our method into a state-ofthe-art baseline translation system and show that it consistently improves the performance of the baseline system on various NIST MT test sets.
Diffusion Modeling of snRNP Dynamics

Small nuclear ribonucleoprotein particles (snRNPs) are essential supramolecular complexes mediating a process of pre-mRNA splicing. The particles undergo complex assembly steps in a highly dynamic nuclear compartment called the Cajal body. Since the dynamics of the assembly and a movement of snRNPs inside the nucleus is poorly understood, we tested the in vivo snRNP dynamics in the frame of a simple diffusion model. SmB proteins, which are integral parts of most snRNPs were tagged with a photoactivable GFP and used for visualization of the snRNP movement. A simple diffusion model was used to fit experimental values. Our results indicate that the simple diffusion model is not consistent with the experimental data. A correction of the model is proposed and its biological relevance is discussed.
Gender, Psychological Resilience, Acculturation and Spirituality as Predictors of Asian Indian American Marital Satisfaction

ABSTRACT This study explored the contribution of gender, psychological resilience, acculturation, and spirituality to Asian Indian American marital satisfaction over and above demographic variables. Correlation and regression analyses were used in this study. The results indicated that together gender, psychological resilience, acculturation, and spirituality predicted marital satisfaction. The study also showed that, among the independent variables, spirituality has a unique predictive ability. Further, there was no supportive evidence that gender, psychological resilience, and acculturation can independently explain the variance in Asian Indian American marital satisfaction.
A preliminary evaluation of the Together Parenting Program – a stand alone component of the Exploring Together Program

This preliminary study was designed to evaluate the effectiveness of the Together Parenting Program, a new component of the Exploring Together Program (ETP). Together Parenting is a parent management training program for parents who want to enhance their relationship with their child(ren) and learn more effective parenting strategies for managing children’s emotional and behavioural problems. This report presents an analysis of pre-post data collected from 44 parents who participated in the 10-week Together Parenting Programs. The study provided some preliminary evidence to suggest that the Together Parenting component of ETP assists parents to reduce their children’s emotional and behavioural difficulties, while improving parenting practices and parental satisfaction.
Probabilistic Text Structuring: Experiments with Sentence Ordering

Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for text-to-text generation. We describe a model that learns constraints on sentence order from a corpus of domain-specific texts and an algorithm that yields the most likely order among several alternatives. We evaluate the automatically generated orderings against authored texts from our corpus and against human subjects that are asked to mimic the model's task. We also assess the appropriateness of such a model for multidocument summarization.
Toward a Benchmark for Multi-Threaded Testing Tools

Looking for intermittent bugs is a problem that has been getting prominence in testing. Multi-threaded code is becoming very common, mostly on the server side. As there is no silver bullet solution, research focuses on a variety of partial solutions. We outline a road map for combining the research on the different disciplines of testing multi-threaded programs and on evaluating its quality. The project goals are to create a benchmark that can be used to evaluate different solutions, to create a framework with open API's that enables combining techniques in the multithreading domain, and to create a focus for the research in this area around which a community of people who try to solve similar problems with different techniques, could congregate. The benchmark, apart from containing programs with documented bugs, includes other artifacts, such as traces, that are used for evaluating some of the technologies. We have started creating such a bench mrk and detail the lesson learned in the process. The framework will enable technology developers, for example, race detectors, to concentrate on their components and use other ready made components, (e.g., instrumentor) to create a testing solution.
On the Lovász θ-number of almost regular graphs with application to Erdős – Rényi graphs

We consider k-regular graphs with loops, and study the Lovász θ-numbers and Schrijver θ′–numbers of the graphs that result when the loop edges are removed. We show that the θ-number dominates a recent eigenvalue upper bound on the stability number due to Godsil and Newman [C.D. Godsil and M.W. Newman. Eigenvalue bounds for independent sets. Journal of Combinatorial Theory B, to appear]. As an application we compute the θ and θ′ numbers of certain instances of Erdős– Rényi graphs. This computation exploits the graph symmetry using the methodology introduced in [E. de Klerk, D.V. Pasechnik and A. Schrijver. Reduction of symmetric semidefinite programs using the regular *-representation. Mathematical Programming B, to appear]. The computed values are strictly better than the Godsil-Newman eigenvalue bounds.
Blurring Emotional Safety With Physical Safety in AIDS and STD Risk Estimations: The Casual/Regular Partner Distinction1

Research on the sexual behavior of young adults has documented a casual/regular partner distinction in terms of condom use and perceived risk of contracting sexually transmitted diseases (STDs). How this population distinguishes between the 2 partner types has not been known, making it impossible to assess the rationality of this strategy. In the present study, college students’ conceptions of casual vs. regular partners were explored and used to create 3 sexual partner scenarios: casual, regular with insufficient risk information (regular emotionally safe), and regular with sufficient risk information (regular objectively safe). Participants rated the target partner in terms of emotional safety, AIDSISTD risk, and likelihood of condom use. Results showed participants to be blumng emotional with physical safety; i.e., employing an emotionally based strategy in rating perceived risk. As of June 1996, nearly 550,000 AIDS cases were diagnosed in the United States, and 1 in every 250 Americans is estimated to be infected with HIV (Centers for Disease Control and Prevention [CDC], 1996). Currently, the primary means of battling AIDS still lies in prevention, through identifying and changing behaviors that increase the risk of HIV infection. Although homosexual transmission still accounts for the largest percentage of current AIDS cases, heterosexual transmission is accounting for an increasing percentage of the total number of new cases, particularly among women and adolescents (CDC, 1996; National Conference of State Legislatures, 1993). The trend for young adults is attracting particular concern because they are known to engage in sexual behaviors that can lead to increased exposure, including a high rate of both multiple partners and unprotected sex (Abrams, Abraham, Spears, & Marks, 1990; Baldwin & Baldwin, 1988; MMWR, 1992; Ehrhardt, 1992; Rosenthal, Hall, & Moore, 1992). In addition to HIV/AIDS, young adults are being exposed to other ‘Thanks to Sandy Braver for his helpful input during conceptualization and data analysis phases of this project. Thanks also to Rose Weitz, Craig Nagoshi, William Hanison, Barbara Henker, Leona Aiken, and anonymous reviewers for critical comments on earlier versions of this manuscript, and to Gail Wade and Janice Blair for their assistance in the implementation of this project. 2Correspondence concerning this article should be addressed to Lisa Comer, Depamnent of Psychology, University of California at Los Angeles, 2 191 Franz Hall 156304, Box 951563, Los Angeles, CA 90095-1 563.
Software only, extremely compact, Keccak-based secure PRNG on ARM Cortex-M

The ability to generate secure random numbers is fundamental to the security of cryptographic protocols. Random Number Generators (RNGs) start to appear in recent modern Intel CPUs as used in desktops and servers. Solutions for embedded devices, such as e.g. sensor nodes and wireless routers, are still severely lacking however. In this paper we present the implementation of a secure pseudo-random number generator (PRNG) for the ARM Cortex-M microcontroller family, one of the most popular embedded platforms at this moment. For compactness and compatibility reasons, our implementation is software only. It uses the start-up values of on-chip SRAM as random seed and uses the KECCAK hash function for both entropy extraction as well as pseudo-random number generation. Getting KECCAK very compact in terms of memory requirements is therefore essential. KECCAK is a tunable algorithm: in this paper we discuss the minimum security requirements and the storage costs as a function of the KECCAK variant. The KECCAK permutation of our choice, KECCAK-f[200], is implemented in only 400 bytes. To the best of our knowledge, this is the smallest KECCAK implementation published so far. With the addition of initialization, hashing, padding and output generation functions, our complete solution fits within 496 bytes of ROM and requires 52 bytes of RAM. One byte of pseudo-random data, with a security level of at least 128 bits, can be generated in 3337 cyles on an ARM CortexM3/4, i.e. 50 KiB/s on a development board, plenty fast for a cryptographic PRNG in an embedded setting.