Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating memory illusions: Expectancy-based processing and the generation of false memories

The present research investigated the generation of memory illusions. In particular, it attempted to delineate the conditions under which category-based thinking prompts the elicitation of false memories. Noting fundamental differences in the manner in which expected and unexpected person-related information is processed and represented in the mind, it was anticipated that, via gist-based recognition, participants would display a pronounced propensity to generate expectancy-consistent false memories. The results of three experiments supported this prediction. In addition, the research revealed that participants' false memories were accompanied by the subjective experience of knowing (Expt. 2) and that false recognition was exacerbated under conditions of executive dysfunction (Expt. 3). We consider the theoretical implications of these findings for recent treatments of memory illusions and social cognition.
On the Performance of Wide-Area Synchronous Database Replication

A fundamental challenge in database replication is to maintain a low cost of updates while assuring global system consistency. The dicult y of the problem is magnied for wide-area network settings due to the high latency and the increased likelihood of network partitions. As a consequence, most of the research in the area has focused either on improving the performance of local transaction execution or on replication models with weaker semantics, which rely on application knowledge to resolve potential conicts. In this work we identify the performance bottleneck of the existing synchronous replication schemes as residing in the update synchronization algorithm. We compare the performance of several such synchronization algorithms and highlight the large performance gap between various methods. We design a generic, synchronous replication scheme that uses an enhanced synchronization algorithm and demonstrate its practicality by building a prototype that replicates a PostgreSQL database system. We claim that the use of an optimized synchronization engine is the key to building a practical synhronous replication system for wide-area network settings.
Self-Managed Fault Management in Wireless Sensor Networks

Wireless sensor networks usually deploy in the harsh operational environment where the physical presence of human administrators is impractical. Applications and systems of these networks are thus expected to operate with the minimum aid or supervision. Biologically-inspired behaviors, such as self-healing, self-adaptation, have already been recognized as the desirable features for these systems to self-adapt to various unpredicted changes occurred in the environment. In this paper, we address such biological feature in terms of fault management. We propose a hierarchical structure to properly distribute fault management tasks among sensor nodes by introducing more dasiaself-managingpsila functions. In addition, we also consider an alternate solution to self-reconfigure fault management function of sensor nodes adapting to various system requirements, such as replacement of a faulty node.
A novel grid pattern matching technique with hybrid genetic algorithm

Dot Pattern Matching (DPM) is essential and important to a wide variety of image analysis and pattern recognition problems. This paper presents a new grid based optimized DPM algorithm and employs it for shape matching and object matching through edge map. The evolutionary algorithm used for optimized matching is a combination of genetic algorithm in a course-to-fine resolution space and Tabu Search (TS) process. The performance of the proposed method is compared with some relevant approaches employed for pattern matching and function optimization problems.
An Intelligent Multi-hop Routing for Wireless Sensor Networks

With the advancement of micro-sensor and radio technology, wireless sensor networks are deployed in various applications. In a continuous monitoring application, sensors gather information and transmit the sensed data to base station in a periodic manner. In each data gathering round, a node generates a data packet and transmits the packet to base station, or any other node; the data packets received from neighbouring nodes can be aggregated. The lifetime of such sensor system is the time until base station receives data from all sensors in the network. We propose a genetic algorithm (GA) based multi-hop routing for a homogeneous network to maximize the network lifetime. Given the location of the sensor nodes and base station, our algorithm generates a sequence of routing paths that maximizes the system lifetime
Genomewide Scan for Anal Atresia in Swine Identifies Linkage and Association With a Chromosome Region on Sus scrofa Chromosome 1

Anal atresia is a rare and severe disorder in swine occurring with an incidence of 0.1–1.0%. A whole-genome scan based on affected half-sibs was performed to identify susceptibility loci for anal atresia. The analysis included 27 families with a total of 95 animals and 65 affected piglets among them. Animals were genotyped for 126 microsatellite markers distributed across the 18 autosomal porcine chromosomes and the X chromosome, covering an estimated 2080 cM. Single-point and multipoint nonparametric linkage scores were calculated using the computer package ALLEGRO 1.0. Significant linkage results were obtained for chromosomes 1, 3, and 12. Markers on these chromosomes and additionally on chromosomes for which candidate genes have been postulated in previous studies were subjected to the transmission disequilibrium test (TDT). The test statistic exceeded the genomewide significance level for adjacent markers SW1621 (P = 7 × 10−7) and SW1902 (P = 3 × 10−3) on chromosome 1, supporting the results of the linkage analysis. A specific haplotype associated with anal atresia that could prove useful for selection against the disorder was revealed. Suggestive linkage and association were also found for markers S0081 on chromosome 9 and SW957 on chromosome 12.
Compact Layout of Layered Trees

The standard layered drawing convention for trees in which the vertical placement of a node is given by its level in the tree and each node is centered between its children can lead to drawings which are quite wide. We present two new drawing conventions which reduce the layout width to be less than some maximum width while still maintaining the essential layered drawing convention. These conventions relax the requirement that a parent must be exactly placed midway between its children, and instead make this a preference which can be violated if this is required for the layout to fit into the required width. Both drawing conventions give rise to a simple kind of quadratic programming problem. We give an iterative gradient projection algorithm for solving this kind of problem, and also a linear time heuristic algorithm. Our algorithms are practical: a tree with three thousand nodes can be laid out in less than a hundred milliseconds with either algorithm.
Comparison of Two Model Predictive Control for the Ethanol Production Optimization of a Two-Stage Bioreactor with Cellular Recycling

Abstract This paper addresses the problem of dynamic optimization of ethanol production. This process is described by a nonlinear model. A Model Predictive Control (MPC) has been implemented in order to optimize the bioprocess dynamically. Two algorithms were used together with a MPC: the Pattern Search (PS) and the Iterative Ant Colony Algorithm (IACA). They were compared with an open-loop control experimentally implemented. The MPC with the PS algorithm showed a better performance than the MPC with IACA and than the open-loop control.
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds

In this paper, we consider the Precis problem of sampling K representative yet diverse data points from a large dataset. This problem arises frequently in applications such as video and document summarization, exploratory data analysis, and pre-filtering. We formulate a general theory which encompasses not just traditional techniques devised for vector spaces, but also non-Euclidean manifolds, thereby enabling these techniques to shapes, human activities, textures and many other image and video based datasets. We propose intrinsic manifold measures for measuring the quality of a selection of points with respect to their representative power, and their diversity. We then propose efficient algorithms to optimize the cost function using a novel annealing-based iterative alternation algorithm. The proposed formulation is applicable to manifolds of known geometry as well as to manifolds whose geometry needs to be estimated from samples. Experimental results show the strength and generality of the proposed approach.
Exploring the effectiveness of peer mentoring of accounting and finance students in higher education

Abstract This article explores the effectiveness of peer mentoring with accounting and finance students at the University of Dundee. The motives of such a mentoring scheme are to improve the participants' academic performance and to develop their transferable skills. In the context of this study, peer mentoring comprises third year students (mentors) mentoring first year students (mentees). Using a semi-formal tutorial setting and meetings during the latter part of the academic year, mentoring groups address issues such as academic writing skills, study techniques and examination preparation. The effects of mentoring are measured by a comparison of the pre- and post-mentoring examination performance of the mentees. In addition, focus group interviews are used to gather the opinions of the mentees and the mentors as to their impressions about the success of the project. The empirical results suggest that mentoring has had a positive effect on the academic performance of the mentees. The focus group interviews found that both the mentors and the mentees claimed to benefit significantly from their involvement in the project.
Asymmetric Crime Cycles

Recent theoretical models underscore the potential asymmetric response of various behaviors, ranging from criminal activity to smoking. In this paper, we use state-level panel and individual-level panel data to document the previously unnoticed asymmetric response of crime to changes in the unemployment rate. The results have policy implications, and they have potentially widespread ramifications because similar asymmetries may also be prevalent in other domains, ranging from the relationship between income and health to peer quality and student outcomes.
Role of lymphotoxin-α in cigarette smoke-induced inflammation and lymphoid neogenesis

In chronic obstructive pulmonary disease (COPD), chronic inflammation is accompanied by peribronchial lymphoid aggregates. Lymphotoxin (LT)-α, crucial in secondary lymphoid organogenesis, may be involved in lymphoid neogenesis. We examined cigarette smoke (CS)-induced pulmonary lymphoid neogenesis and inflammation in vivo in LTα knockout (LTα-/-) and wild-type (WT) mice and studied the expression of lymphoid chemokines by lung fibroblasts in vitro. T-cell numbers (in bronchoalveolar lavage fluid (BALF) and lungs) and lymphoid aggregate numbers were significantly higher in air-exposed LTα-/- mice than in WT animals, and increased upon chronic CS exposure in both genotypes. In contrast, local immunoglobulin A responses upon chronic CS exposure were attenuated in LTα-/- mice. CXC chemokine ligand (CXCL) 13 and CC chemokine ligand (CCL) 19 mRNA in total lung and CXCL13 protein level in BALF increased upon CS exposure in WT, but not in LTα-/- mice. In vitro lymphotoxin-β receptor (LTβR) stimulation induced CXCL13 and CCL19 mRNA in WT lung fibroblasts. Furthermore, in vitro exposure to CS extract upregulated CXCL13 mRNA expression in WT, but not in LTβR-/-, lung fibroblasts. In this murine model of COPD, CS induces pulmonary expression of lymphoid chemokines CXCL13 and CCL19 in a LTαβ–LTβR-dependent fashion. However, LTα is not required for CS-induced pulmonary lymphocyte accumulation and neogenesis of lymphoid aggregates.
The airborne Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR)

Results of the first science flight of the airborne Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) for high-altitude observations from the NASA ER-2 is discussed. Imagery collected from the flight demonstrates CoSMIR's unique conical/cross-track imaging mode and provides comparison of CoSMIR measurements to those of the SSM/T-2 satellite radiometer.
Assessing four levels of creative mathematical ability in Israeli adolescents utilizing out‐of‐school activities: A circular three‐stage technique

The goal of the study was to develop a brief questionnaire of out‐of‐school activities to assess creative ability in mathematics at four levels using a three‐stage circular technique. First, a mapping sentence was developed that defined the conceptual components of creative ability in mathematics at four hierarchical levels. Based upon the mapping sentence, a preliminary set of 61 items was prepared which was administered to four groups of judges (N=104) who ranked each item for creative talent level in mathematics, and to 139 Israeli 11th and 12th grade students who reported whether or not they had performed the activities. The resulting data provided evidence of the construct validity of a 12‐item scale for assessing creative mathematical talent at four levels. In addition, the findings indicated specific modifications that were needed in the continuing development of the mapping sentence.
Suicide terrorism: exploring Western perceptions of terms, context, and causes

In the scientific literature and popular media, the five terms suicide bomber, suicide terrorist, Islamic martyr, martyr or volunteer are often used interchangeably. This study investigates the mental representations related to these five different terms when the terms are presented individually and when they are embedded in the context of two scenarios. Participants were 129 undergraduate students. It was hypothesized that: (1) the positive and negative valence of associations to the five target words would differ; (2) the perception of a suicide terrorist would be influenced by target word used and by the context of the act, such as the kind of victims; (3) the reasons given for why a person becomes a suicide bomber would reflect more often those discussed in scientific research and less often those commonly presented in the media; and (4) the reasons given would differ between target words and context. Results mostly confirmed the hypotheses. Although context information seems to outweigh the connotations of the individual terms, results caution researchers and media on the need to reflect on possible consequences resulting from the use of specific terms.
Motivations for Male and Female Birdwatchersin New York State

To better understand the motivations influencing birdwatching participation, a mail survey was conducted in 2006 of 500 male and 500 female birdwatchers living in New York State. Negative binomial regressions were used to identify the relationship between participation (i.e., the number of birdwatching trips taken in 2005; dependent variable) and demographic characteristics and motivations (independent variables) for male and female respondents. For females, results indicated significant, negative relationships between participation and both the “spiritual” and “enjoying the outdoors” motivations, and positive, significant relationships between participation and the “intellectual” and “challenge” motivations. For males, a negative significant relationship between participation and the “spiritual” motivation, and a positive, significant relationship between participation and the “sharing knowledge” motivation were identified. Educational level was related to participation for males, whereas age group, marital status, and area of residence were related to participation for females.
Nobeyama Millimeter Array Observations of the Nuclear Starburst of M 83: A GMA Scale Correlation between Dense Gas Fraction and Star Formation Efficiency

We present aperture synthesis high-resolution (�7 ′′ ×3 ′′ ) observations in CO(J = 1 0) line, HCN(J =1 0) line, and 95 GHz continuum emission toward the central (� 1.5 kpc) region of the nearby barred spiral galaxy M 83 with the Nobeyama Millimeter Array. Our high-resolution CO(J = 1 0) mosaic map depicts the presence of molecular ridges along the leading sides of the stellar bar and nuclear twin peak structure. On the other hand, we found the distribution of the HCN(J = 1 0) line emission which traces dense molecular gas (nH2 > a few ×10 4 cm −3 ) shows nuclear single peak structure and coincides well with that of the 95 GHz continuum emission which traces massive starburst. The peaks of the HCN(J = 1 0) line and the 95 GHz continuum emission are not spatially coincident with the optical starburst regions traced by the HST V-band image. This suggests the existence of deeply buried ongoing starburst due to strong extinction (AV �5 mag) near the peaks of the HCN(J =1 0) line and the 95 GHz continuum emission. We found that the HCN(J = 1 0)/CO(J = 1 0) intensity ratio RHCN/CO correlates well with extinction-corrected SFE in the central region of M 83 at a resolution of 7 ′′ . 5 (�160 pc). This suggests that SFE is controlled by dense gas fraction traced by RHCN/CO even on a Giant Molecular cloud Association (GMA) scale. Moreover, the correlation between RHCN/CO and the SFE in the central region of M 83 seems to be almost coincident with that of the Gao & Solomon (2004a) sample. This suggests that the correlation between RHCN/CO and the SFE on a GMA (� 160 pc) scale found in M 83 is the origin of the global correlation on a few kpc
Enterprise modelling with UML

Making effective project selection decisions in an enterprise requires a clear idea of where the enterprise is in the current state, what its vision for the future is, and how to make a transition to its desired future state possible. A strategic plan is a document that encompasses this information and is produced as an output of corporate strategic planning. In this paper we examine business modelling as an integral part of strategic planning, where models of a current and future enterprise are developed and refined. The question that we address in this regard is, whether the unified modelling language (UML) notation, the today's defacto standard in engineering modelling, can serve as an appropriate language for enterprise modelling, in particular for corporate strategic planning. In the paper we discuss types of models that are usually used in strategic planning to describe the enterprise from different perspectives and suggest some extensions to the UML notation to make it more suitable for this purpose.
DeFer: Deferred Decision Making Enabled Fixed-Outline Floorplanning Algorithm

In this paper, we present DeFer-a fast, high-quality, scalable, and nonstochastic fixed-outline floorplanning algorithm. DeFer generates a nonslicing floorplan by compacting a slicing floorplan. To find a good slicing floorplan, instead of searching through numerous slicing trees by simulated annealing as in traditional approaches, DeFer considers only one single slicing tree. However, we generalize the notion of slicing tree based on the principle of deferred decision making (DDM). When two subfloorplans are combined at each node of the generalized slicing tree, DeFer does not specify their orientations, the left-right/top-bottom order between them, and the slice line direction. DeFer even does not specify the slicing tree structure for small subfloorplan. In other words, we are deferring the decisions on these factors, which are specified arbitrarily at an early step in traditional approaches. Because of DDM, one slicing tree actually corresponds to a large number of slicing floorplan solutions, all of which are efficiently maintained in one single shape curve. With the final shape curve, it is straightforward to choose a good floorplan fitting into the fixed outline. Several techniques are also proposed to further optimize the wirelength. For both fixed-outline and classical floorplanning problems, experimental results show that DeFer achieves the best success rate, the best wirelength, the best runtime, and the best area on average compared with all other state-of-the-art floorplanners.
Synthesis and Functional Characterization of Substituted Isoquinolinones as MT2-Selective Melatoninergic Ligands

A series of substituted isoquinolinones were synthesized and their binding affinities and functional activities towards human melatonin MT1 and MT2 receptors were evaluated. Structure-activity relationship analysis revealed that substituted isoquinolinones bearing a 3-methoxybenzyloxyl group at C5, C6 or C7 position respectively (C5>C6>C7 in terms of their potency) conferred effective binding and selectivity toward the MT2 receptor, with 15b as the most potent compound. Most of the tested compounds were MT2-selective agonists as revealed in receptor-mediated cAMP inhibition, intracellular Ca2+ mobilization and phosphorylation of extracellular signal-regulated protein kinases. Intriguingly, compounds 7e and 7f bearing a 4-methoxybenzyloxyl group or 4-methylbenzyloxyl at C6 behaved as weak MT2-selective antagonists. These results suggest that substituted isoquinolinones represent a novel family of MT2-selective melatonin ligands. The position of the substituted benzyloxyl group, and the substituents on the benzyl ring appeared to dictate the functional characteristics of these compounds.
On Complexity of DeLP through Game Semantics On the Complexity of DeLP through Game Semantics ∗

Defeasible Logic Programming (DeLP) is a general argumentation based system for knowledge representation and reasoning. Its proof theory is based on a dialectical analysis where arguments for and against a literal interact in order to determine whether this literal is believed by a reasoning agent. The semantics GS is a declarative trivalued game-based semantics for DeLP that is sound and complete for DeLP proof theory. Complexity theory is an important tool for comparing different formalism and for helping to improve implementations whenever it is possible. In this work we address the problem of studying the complexity of some important decision problems in DeLP. Thus, we characterize the relevant decision problems in the context of DeLP and GS , and we deﬁne data and combined complexity for DeLP. Since DeLP computes every argument from a set of defeasible rules, it is of central importance to analyze the complexity of two decision problems. The ﬁrst one can be deﬁned as “Is a set of defea-sible rules an argument for a literal under a defeasible logic program? ”. We prove that this problem is P -complete. The second decision problem is “Does there exist an argument for a literal under a defeasible logic program? ”. We prove that this problem is in NP . Furthermore, we study data complexity of query answering in the context of DeLP. As far as we know, data complexity has not been introduced in the context of argumentation systems