Miracle-dz/UniFAR-FTUs huggingface dataset:
Weighting for Recognition: Accounting for Advanced Placement and Honors Courses When Calculating High School Grade Point Average

Honors and advanced placement (AP) courses are commonly viewed as more demanding than standard high school offerings. Schools employ a range of methods to account for such differences when calculating grade point average and the associated rank in class for graduating students. In turn, these statistics have a sizeable impact on college admission and access to financial aid. The authors establish the relationship between the grade earned and type of high school science course taken for 7,613 students by modeling their later performance in an introductory college course. The sample is drawn from more than 100 introductory science courses at 55 randomly chosen college and universities. Accounting for variations in college grading systems, strong evidence is found in favor of the practice of adding bonus points to students’ high school course grades in the sciences, namely, on a 4-point scale, 1 point for AP courses and . 5 for honors courses.
Deception in Eyewitness Identification

One-hundred twenty-eight undergraduates were shown a videotape of a staged crime of a young man abducting a child. Participants were instructed to role-play eyewitness behaviors in which they (a) lied to protect the perpetrator; (b) lied to protect the perpetrator but told the truth about the child; (c) lied to ensure the conviction of the perpetrator; or (d) responded truthfully and accurately to the best of their ability. One week later, participants were given a target-present or target-absent photo lineup of both the perpetrator and the child-victim. Participants instructed to lie to protect the perpetrator consistently stated he was not present as opposed to selecting an innocent person. In addition, participants lying to protect the perpetrator were significantly quicker to make identification decisions than participants attempting to make an accurate identification. There were no significant differences between groups in identification performance or in decision times involving the child lineup.
A framework for resolving task overload problems using intelligent software agents

In this paper, we model task delegation to resolve task overload problems using intelligent software agents in a normative environment. In such environment, where humans are responsible for various tasks, which are not transparent to others except to the management, task delegation is one of the possible solutions. In order to effectively delegate roles and tasks, the delegator must comply with certain norms and rules to avoid delays in completing the tasks. In this paper, we explore the complexity of decision making process in multi-level hierarchical organization and apply delegation rules to resolve issues relating to task overload problem. We then develop a framework using intelligent software agents to resolve the problem.
Development of a typology of dual-earner families : A window into differences between and within families in relationships, roles, and activities

A typology of dual-earner families based on mothers' and fathers' reports of work hours, job prestige, role overload, and job involvement was developed with a sample of 85 dual-earner couples with school-aged children. Three groups emerged that were distinguished by both between-groups and within-couple differences in the clustering variables: (a) high-status dual-earner families, (b) low-stress dual-earner families, and (c) main-secondary provider families. Group membership was related not only to demographic variables (e.g., parental education and income) but to marital quality, family roles, and parental monitoring of children's activities. Analyses conducted to replicate the typology revealed that similar groups emerged in data collected a year later. Group membership was stable over time for all groups except the main-secondary provider group; this category appears to represent a transitional status for employed mothers.
Analysis of the Carboxyl-terminal Peroxisomal Targeting Signal 1 in a Homologous Context in Saccharomyces cerevisiae*

Most peroxisomal matrix proteins contain a carboxyl-terminal tripeptide that directs them to peroxisomes. Within limits, these amino acids may be varied, without loss of function. The specificity of this peroxisomal targeting signal (PTS1) is remarkable considering its small size and its relaxed consensus sequence. Moreover, several peroxisomal proteins have a PTS1-like signal that does not fit the reported consensus sequence. Because many of these PTS1 variants seem to be functional in a species-dependent or protein context-dependent manner, we investigated the PTS1 requirements in a homologous context, using Saccharomyces cerevisiae and endogenous peroxisomal malate dehydrogenase (MDH3). Peroxisomal import of the MDH3-PTS1 variants was tested qualitatively by the ability to complement the Δmdh3 mutant and quantitatively by subcellular fractionation. We observed efficient import of MDH3 into peroxisomes with a large variety of PTS1 tripeptides. Many of these variants do not fit the observed PTS1 requirements for heterologously expressed proteins, which suggests that additional domains in the protein may be of decisive importance whether or not a certain PTS1 variant is recognized by the components of the peroxisomal import machinery. Because we show that dimerization of MDH3 precedes import into the organelle, these domains are most likely conformational domains.
Metastases suppressor NME2 associates with telomere ends and telomerase and reduces telomerase activity within cells

Analysis of chromatin-immunoprecipitation followed by sequencing (ChIP-seq) usually disregards sequence reads that do not map within binding positions (peaks). Using an unbiased approach, we analysed all reads, both that mapped and ones that were not included as part of peaks. ChIP-seq experiments were performed in human lung adenocarcinoma and fibrosarcoma cells for the metastasis suppressor non-metastatic 2 (NME2). Surprisingly, we identified sequence reads that uniquely represented human telomere ends in both cases. In vivo presence of NME2 at telomere ends was validated using independent methods and as further evidence we found intranuclear association of NME2 and the telomere repeat binding factor 2. Most remarkably, results demonstrate that NME2 associates with telomerase and reduces telomerase activity in vitro and in vivo, and sustained NME2 expression resulted in reduced telomere length in aggressive human cancer cells. Anti-metastatic function of NME2 has been demonstrated in human cancers, however, mechanisms are poorly understood. Together, findings reported here suggest a novel role for NME2 as a telomere binding protein that can alter telomerase function and telomere length. This presents an opportunity to investigate telomere-related interactions in metastasis suppression.
Population Ratios and Prejudice: Modelling Both Contact and Threat Effects

Are small or large outgroup populations more closely related to an ingroup's prejudice? This paper addresses this question with national probability survey data from Germany focused on resident foreigners. Two interlocking processes underlie the complex relationship between population proportions and prejudice. Typically, larger outgroup population proportions simultaneously increase both threat and intergroup contact. The first process increases prejudice, the second decreases it. Using structural equation modelling, our analysis reveals that these two processes can be effectively combined into one complex model. Threat is perceptual; it involves what people think is the outgroup proportion and thus can be easily manipulated by political leaders and the mass media. Contact is experiential; it can reduce individual and collective threat as well as prejudice. The intricate relationship between threat and contact can be substantially altered by numerous moderators. Hence, rigid group segregation can limit contact, while unemployment can amplify threat. The paper provides evidence that reductions in prejudice have important consequences for intergroup relations.
Cross-level Monte Carlo framework for system vulnerability evaluation against fault attack

Fault attack becomes a serious threat to system security and requires to be evaluated in the design stage. Existing methods usually ignore the intrinsic uncertainty in attack process and suffer from low scalability. In this paper, we develop a general framework to evaluate system vulnerability against fault attack. A holistic model for fault injection is incorporated to capture the probabilistic nature of attack process. Based on the probabilistic model, a security metric named as System Security Factor (SSF) is defined to measure the system vulnerability. In the framework, a Monte Carlo method is leveraged to enable a feasible evaluation of SSF for different systems, security policies, and attack techniques. We enhance the framework with a novel system pre-characterization procedure, based on which an importance sampling strategy is proposed. Experimental results on a commercial processor demonstrate that compared to random sampling, a 2500X speedup is achieved with the proposed sampling strategy. Meanwhile, 3% registers are identified to contribute to more than 95% SSF. By hardening these registers, a 6.5X security improvement can be achieved with less than 2% area overhead.
Processivity of Cellobiohydrolases Is Limited by the Substrate*

Processive cellobiohydrolases (CBHs) are the key components of fungal cellulase systems. Despite the wealth of structural data confirming the processive mode of action, little quantitative information on the processivity of CBHs is available. Here, we developed a method for measuring cellulase processivity. Sensitive fluorescence detection of enzyme-generated insoluble reducing groups on cellulose after labeling with diaminopyridine enabled quantification of the number of reducing-end exo-mode and endo-mode initiations. Both CBHs TrCel7A from Trichoderma reesei and PcCel7D from Phanerochaete chrysosporium employed reducing-end exo- and endo-mode initiation in parallel. Processivity values measured for TrCel7A and PcCel7D on cellulose hydrolysis were more than an order of magnitude lower than the values of intrinsic processivity that were found from the ratio of catalytic constant (kcat) and dissociation rate constant (koff). We propose that the length of the obstacle-free path available for a processive run on cellulose chain limits the processivity of CBHs on cellulose. TrCel7A and PcCel7D differed in their koff values, whereas the kcat values were similar. Furthermore, the koff values for endoglucanases (EGs) were much higher than the koff values for CBHs, whereas the kcat values for EGs and CBHs were within the same order of magnitude. These results suggest that the value of koff may be the primary target for the selection of cellulases.
The Determinants of Alternative Forms of Workplace Voice

Workplace voice has been the subject of much research over the past 30 years. Prior work has examined the precursors of a wide variety of voice types including prosocial voice, grievance filing, whistle-blowing, informal complaints, and participation in suggestion systems. However, research on each type of voice has largely been conducted in isolation from work examining alternate types of workplace voice. The goal of this article is to review and integrate the literature on the determinants of workplace voice. The authors’ review of the literature is organized around the major categories of determinants that have been observed in the separate literatures on workplace voice. Based on the review, the authors identify commonalities and differences across alternative forms of voice in the determinants observed. Following this, they explore how the nature and purpose of voice varies, with emphasis on three dimensions of voice: formality, focus, and identifiability. The authors then explore whether this variation is relevant for understanding the pattern of determinants observed across alternative forms of voice. They close by discussing the implications of an integrative perspective of scholars’ understanding of the processes that determine voice and for organizations as they strive to facilitate the productive use of workplace voice.
Zippers: A Focus+Context Display of Web Pages

This report describes zippers, an application of outline-processor technology to the display of Web pages. Zippers allow users to expand and contract selected sections of a document, thereby displaying simultaneously the contents of individual sections of a document as well as its overall structure. Zippers can be implemented either directly in a Web browser or by a proxy (and consequently used by any off-theshelf Web browser); in either case, no changes to HTML source files are required.
Average Cost Temporal{diierence Learning 1

We propose a variant of temporal di erence learning that approximates average and di erential costs of an irreducible aperiodic Markov chain Approximations are comprised of linear combinations of xed basis functions whose weights are incrementally updated during a single endless trajectory of the Markov chain We present a proof of convergence with probability and a characterization of the limit of convergence We also provide a bound on the resulting approximation error that exhibits an interesting dependence on the mixing time of the Markov chain The results parallel previous work by the authors involving approximations of discounted cost to go
A GENERATIVE DISCOURSE MODEL

Although the main concern in this paper will be to outline a generative theory of discourse grammar, it will also be necessary to take a position in two other controversial subjects — (1) the nature of semantic primes and (2) the components of the generative base. Let us examine first the question of semantic primes. Many contemporary theorists have come to the conclusion that the generative base of a transformational grammar is semantic, hence the current change in nomenclature from generative grammar to generative semantics. So far the issue seems to have been whether the base is to be constituent-oriented or function-oriented. That is, whether constituent categories (NP, VP, Aux, Det, N, V, etc.) are the terms in which Subject (Subject-of; [NP, S]), predicate (Predicate-of; [VP, S]), direct object (Direct-Object-of [NP, VP]), main verb (Main-Verb-of: [V, VP]) etc., are to be defined, or whether NP, VP, etc. are merely the expression forms of underlying function relations. Little attention has been paid to the further problem of defining the role of meaning and reference apart from these relational categories. Consider sentence (1). A formal analysis teils us only that a
Proteomic Analysis of Clathrin Interactions in Trypanosomes Reveals Dynamic Evolution of Endocytosis

Endocytosis is a vital cellular process maintaining the cell surface, modulating signal transduction and facilitating nutrient acquisition. In metazoa, multiple endocytic modes are recognized, but for many unicellular organisms the process is likely dominated by the ancient clathrin‐mediated pathway. The endocytic system of the highly divergent trypanosomatid Trypanosoma brucei exhibits many unusual features, including a restricted site of internalization, dominance of the plasma membrane by GPI‐anchored proteins, absence of the AP2 complex and an exceptionally high rate. Here we asked if the proteins subtending clathrin trafficking in trypanosomes are exclusively related to those of higher eukaryotes or if novel, potentially taxon‐specific proteins operate. Co‐immunoprecipitation identified twelve T. brucei clathrin‐associating proteins (TbCAPs), which partially colocalized with clathrin. Critically, eight TbCAPs are restricted to trypanosomatid genomes and all of these are required for robust cell proliferation. A subset, TbCAP100, TbCAP116, TbCAP161 and TbCAP334, were implicated in distinct endocytic steps by detailed analysis of knockdown cells. Coupled with the absence of orthologs for many metazoan and fungal endocytic factors, these data suggest that clathrin interactions in trypanosomes are highly lineage‐specific, and indicate substantial evolutionary diversity within clathrin‐mediated endocytosis mechanisms across the eukaryotes.
Gap junctions. Structural changes after uncoupling procedures

The freeze-fracture appearance of rat stomach and liver gap junctions changes after uncoupling procedures such as inhibition of the metabolism of perfusion with hypertonic sucrose. In control stomach, either fixed immediately or kept for 1 h in a well-oxygenated Tyrode's solution at 37 degrees C, most gap junctions between mucous cells contain particles irregularly packed at an average center-to-center spacing of 10.3-10.5 nm. After 1-h treatment with 2,4-dinitrophenol (DNP), at the same temperature and oxygenation, most particles aggregate hexagonally at an average spacing of approximately 8.5 nm. Similar changes are seen in hypoxic specimens. In control liver, fixed by perfusion, most junctional particles are irregularly packed at an average center-to-center spacing of approximately 10 mm. Small areas of fairly regular hexagonal packing are occasionally seen, where the average particle spacing is 9.2-9.5 nm. In hypoxic liver, the junctional particles form regular hexagonal packings in which the average center-to-center particle spacing is approximately 8.5 nm. In liver perfused with hypertonic sucrose-calcium solutions, following EDTA solutions, most junctions are pulled apart. The separated junctional membranes, expected to be highly impermeable, contain particles regularly and tightly packed as in hypoxic or DNP-treated junctions. Preliminary measurements indicate also a possible change in particle diameter, from approximately 8.6 nm (control) to approximately 7.7 nm (treated). The structural changes are similar to those previously reported in crayfish and may reflect conformational changes in particle subunits resulting in functional uncoupling.
But Dictionaries Are Data Too

Although empiricist approaches to machine translation depend vitally on data in the form of large bilingual corpora, bilingual dictionaries are also a source of information. We show how to model at least a part of the information contained in a bilingual dictionary so that we can treat a bilingual dictionary and a bilingual corpus as two facets of a unified collection of data from which to extract values for the parameters of a probabilistic machine translation system. We give an algorithm for obtaining maximum likelihood estimates of the parameters of a probabilistic model from this combined data and we show how these parameters are affected by inclusion of the dictionary for some sample words.
Speech-to-speech translation system evaluation: results for French for the NESPOLE! project first showcase

In this paper we give the results of a set of evaluations conducted in the context of a speech to speech translation project (NESPOLE! ). The chosen situation involves a client (French, German, American) talking to an Italian travel agent (both using their own language) to organize a stay in Italy. Fives series of evaluation were conducted on the same data set. The first series concerned the Automatic Speech Recognition alone. Two other series were about monolingual (back-) translation from ASR outputs on the data set and form transcriptions of the data set. The last ones were about bilingual translation from both the ASR outputs and the transcriptions. The goal of the evaluation was to check the performances of the system at the end of the second year of the project. The fives sets of results concerning the French modules are given and commented.
Labor Markets and Monetary Policy: A New-Keynesian Model with Unemployement

We construct a utility-based model of fluctuations, with nominal rigidities and unemployment, and draw its implications for the unemployment-inflation trade- off and for the conduct of monetary policy. We proceed in two steps. We first leave nominal rigidities aside. We show that, under a standard utility specification, productivity shocks have no effect on unemployment in the constrained efficient allocation. We then focus on the implications of alternative real wage setting mechanisms for fluctuations in un- employment. We show the role of labor market frictions and real wage rigidities in determining the effects of productivity shocks on unemployment. We then introduce nominal rigidities in the form of staggered price setting by firms. We derive the relation between inflation and unemployment and discuss how it is influenced by the presence of labor market frictions and real wage rigidities. We show the nature of the tradeoff between inflation and unemployment stabilization, and its dependence on labor market characteristics. We draw the implications for optimal monetary policy.
Fighting Salafi-Jihadist Insurgencies: How Much Does Religion Really Matter?

How do jihadist insurgencies differ from non-jihadist ones? Jihadist insurgents, like all insurgents, seek to control the government, need money and weapons, and thrive where government is weak. Yet their cause—jihad at local, regional, and global levels—gives them instant friends and resources, but also built-in enemies and burdens. Jihadist insurgents often organize, recruit, and fund-raise differently than traditional insurgent groups. The agendas of these militant groups often go against the local residents' sense of nationalism and anger these communities with their extreme interpretations of Islam. To take advantage of this, the United States can amplify local voices that are best able to discredit these insurgents and press allied regimes to disrupt the mosques, schools, and fund-raising networks that help support them. However, Washington should also recognize that weakening these groups at the local level may make them more likely to embrace international terrorism. Allied efforts to co-opt jihadists may make area societies and governments less favorable to other U.S. policies. Finally, failed democratization—a particularly salient issue given the Arab Spring—risks playing into the jihadist narrative.
Eyeglasses and Gender Stereotypes

Under the guise of forming impressions of a job applicant in a hiring interview, subjects rated a videotaped male or female stimulus person (SP) on several gender stereotypical and task relevant traits. In one condition, the SP's wore eyeglasses, and in the other condition they did not. Eyeglasses, especially when worn by the stimulus male, were associated with feminine stereotypes and positive task relevant attributes. The results were interpreted to suggest that men who wear eyeglasses may be the target of some negative social judgments but also redeeming task relevant attributes, whereas women who wear eyeglasses are more likely to be the target of only negative social judgments.
Robust feature selection algorithms

Selecting a set of features which is optimal for a given task is a problem which plays an important role in wide variety of contexts including pattern recognition, adaptive control and machine learning. Experience with traditional feature selection algorithms in the domain of machine learning leads to an appreciation for their computational efficiency and a concern for their brittleness. The authors describe an alternative approach to feature selection which uses genetic algorithms as the primary search component. Results are presented which suggested that genetic algorithms can be used to increase the robustness of feature selection algorithms without a significant decrease in compuational efficiency.