Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic feature reduction in chinese document clustering

Text clustering techniques were usually used to structure the text documents into topic related groups which can facilitate users to get a comprehensive understanding on corpus or results from information retrieval system. Most of existing text clustering algorithm which derived from traditional formatted data clustering heavily rely on term analysis methods and adopted vector space model (VSM) as their document representation. But because of the essential characteristic underlying text such as high dimensionality features vector space, the problem of sparseness has a strong impact on the clustering algorithm. So feature reduction is an important preprocess step for improving the efficiency and accuracy of clustering algorithm by removing redundant and irrelevant terms from corpus. Even the clustering is considered as an unsupervised learning method, but in text, there is still some priori knowledge we can use from NLP analysis based approach. In this paper, we propose a semantic analysis based feature reduction method which used in Chinese text clustering. Our method bases on a dedicated Part-of-Speech tags selection and synonyms consolidation and can reduce the feature space of documents more effectively compared with traditional feature reduction method tfidf and stopwords removal; meanwhile it preserves or sometimes even improves the accuracy of clustering algorithm. In our experiment, we tested our feature reduction method using bisecting k-means algorithm which was proved be efficient in text clustering. The results show that our method can reduce the feature space significantly, and meanwhile have a better clustering accuracy in terms of the purity.
“That Was Then, This Is Now” or A Wound Still Simmers:

"That Was Then, This is Now" or A Wound Still Simmers contemplates the author's memory-work in the years after the attacks of 9/11. As a New Yorker who teaches at NYU and rides the subway regularly, the author encounters armed guards at her local subway station one day slightly eight years after the attacks. How do they evoke the dangers and memories of 9/11? In what ways has time allowed her to forget or "move on" from the day? In what ways does its impact still linger beneath the surface? The author turns to literature-to the short story "World Memory" by Italo Calvino and to Toni Morrison's novel Beloved-to reflect upon how we archive, narrate, and share our traumatic pasts. She underscores a dynamic between, on the one hand, the processes selection, editing, and forgetting that occur in the retelling of the past and, on the other hand, the inability to know, tell and contain traumatic experience. Literature, she observes, calls attention to both the difficulty of the narration of trauma and the necessity of sharing and transmitting traumatic stories to others. Literature can articulate the memory-work or oscillation between remembering and forgetting that transpires in the delay between "now" and "then. "
Mediators of the Link between Childhood Sexual Abuse and Emotional Distress

A history of childhood sexual abuse (CSA) is a risk factor for adult emotional distress, including symptoms of depression, anxiety, dissociation, and trauma. However, CSA is likely associated with adult distress indirectly through an impact on mediating variables. In a review of the empirical literature, the authors found support for the roles of shame or self-blame, interpersonal difficulties, and avoidant coping strategies as mediators. In addition, emotional distress appears to mediate links between CSA and other adverse outcomes, such as alcohol abuse and revictimization. The authors conclude with a number of methodological and conceptual recommendations.
Research on characteristics of electric vehicle charging load and distribution network supportability

As the electric vehicle(EV)charging is playing an important role in distribution network, it has attracted more and more attention. In order to clarify the relationship between the operation mode of EVs, peak charging load and peak power load of grid, this paper defines two key parameters: coincidence factor and mutual coincidence factor. The variation tendencies of these two parameters under different EVs scale and charging rate are also analyzed. Based on the characteristics of EV charging load and the power load of distribution network in residential area, an evaluation method for distribution network supportability is proposed. Finally effectiveness of the evaluation method are verified by distribution network in residential area. The results show that by choosing the capacity of transformer properly, the ability of the distribution network for the integration of EV can be greatly improved.
Anxiety, emotional regulation and concentration during a 35-day bed rest

The psychological condition of astronauts is an important factor contributing to mission success in limited space. Bed rest is a well-accepted method by which an acute stage of human adaptation to weightlessness in space flights is simulated, as well as an important model to study consequences of physical inactivity and sedentary inac tivity on human body. The objective of the study was to investigate anxiety level, concentration, as well as emotional regulation and control in ten young male subjects during a 35-day horizontal bed rest. Participants were asked to complete psychometric inventories before, during and after bed rest. The results have shown that a prolonged period of bed rest did not result in greater anxiety levels nor poorer emotional regulation and control. Likewise, concentration expressed as the quantity of performance was not impeded, whereas concentration expressed as the quality of performance improved after the bed rest experiment. The objective of this research was to provide evidence that the provision of favourable habitability countermeasures can prevent deterioration in the psychological state under conditions of physical immobilisation. Our findings have applied value in the field of health prevention and reha bilitation.
The production of hypnotic time‐distortion: determining the necessary conditions

An attempt was made to find the components of the hypnotic experience that give rise to familiar time-distortion effects. A series of experiments is described that examined a variety of hypnosis and hypnosis-like situations, known or expected to induce errors of time judgement. It was found that, if participants closed their eyes and imagined vividly, even in the absence of an induction or any reference to hypnosis, hypnotic-like time effects could be achieved. The results are interpreted in terms of the model proposed by Naish (2001), in which it is suggested that an internal clock runs more slowly when a person becomes detached from reality and generates his or her own experiences. Copyright © 2003 British Society of Experimental and Clinical Hypnosis
A Template for Design Personas: Analysis of 47 Persona Descriptions from Danish Industries and Organizations

The persona method is gaining widespread use and support. Many researchers have reported from single cases and from novel domains on how they have used the method. However, the way companies and design groups describe personas has not been the focus of attention. This paper analyses 47 descriptions from 13 companies and compares these to an analysis of recommendations from 11 templates from literature. Furthermore, 28 interviews with Danish practitioners with experience in using personas are analyzed for content on persona descriptions. The study finds that a Danish persona style has developed that is different from the recommendations in the lack of marketing and business related information and the absence of goals as differentiator for personas. Furthermore, the inspiration and knowledge on personas originates from co-workers and seminars and not much from literature. This indicates that the community of practice influences the persona style.
Speaker cluster-based speaker adaptive training for deep neural network acoustic modeling

A speaker cluster-based speaker adaptive training (SAT) method under deep neural network-hidden Markov model (DNN-HMM) framework is presented in this paper. During training, speakers that are acoustically adjacent to each other are hierarchically clustered using an i-vector based distance metric. DNNs with speaker dependent layers are then adaptively trained for each cluster of speakers. Before decoding starts, an unseen speaker in test set is matched to the closest speaker cluster through comparing i-vector based distances. The previously trained DNN of the matched speaker cluster is used for decoding utterances of the test speaker. The performance of the proposed method on a large vocabulary spontaneous speech recognition task is evaluated on a training set of 1500 hours of speech, and a test set of 24 speakers with 1774 utterances. Compared to a speaker independent DNN with a word error rate of 11.6%, a relative 6.8% improvement in performance is obtained from the proposed method.
Children Resisting Contact With a Parent Postseparation: Assessing This Phenomenon Using an Ecological Systems Framework

The process of separation and divorce demands significant changes among family relationships requiring the ongoing negotiation of roles and responsibilities. Most children of separated parents will continue to want contact with both parents, but a small subgroup of children will align with one parent and simultaneously resist or reject the other. Several names and etiological suggestions have been coined to label these extreme alignments, but many of these oversimplify the complexity of these strained parent–child relationship dynamics. This article critically reviews the research literature using an ecological systems framework to better understand the nature of these complex strained parent–child relationships. Courts, legal, and mental health professionals that work with these families are encouraged to assess and respond to these dynamics using an ecological approach.
Scaling up music playlist generation

The issue of generating automatically sequences of music titles that satisfy arbitrary criteria such as user preferences has gained interest recently, because of the numerous applications in the field of electronic music distribution. All the approaches proposed so far suffer from two main drawbacks: reduced expressiveness and incapacity to handle large music catalogues. We present in this paper a system that is able to produce automatically music playlists out of large, real catalogues (up to 200000 titles), and that can handle arbitrarily complex criteria. We describe the basic algorithm and its adaptation to playlist generation, and report on experiments performed in the context of the European project Cuidado.
Multistability of Neural Networks With Time-Varying Delays and Concave-Convex Characteristics

In this paper, stability of multiple equilibria of neural networks with time-varying delays and concave-convex characteristics is formulated and studied. Some sufficient conditions are obtained to ensure that an n-neuron neural network with concave-convex characteristics can have a fixed point located in the appointed region. By means of an appropriate partition of the n-dimensional state space, when nonlinear activation functions of an n-neuron neural network are concave or convex in 2k+2m-1 intervals, this neural network can have (2k+2m-1)n equilibrium points. This result can be applied to the multiobjective optimal control and associative memory. In particular, several succinct criteria are given to ascertain multistability of cellular neural networks. These stability conditions are the improvement and extension of the existing stability results in the literature. A numerical example is given to illustrate the theoretical findings via computer simulations.
On Energy-Efficient and Low-Latency Medium Access Control in Wireless Sensor Networks

In wireless sensor networks, one of the big challenges is to achieve a satisfactory network lifetime while meeting quality of service (QoS) requirements. In this paper, we propose a novel MAC layer protocol which provides energy efficiency, latency guarantee, adaptability and scalability for wireless sensor networks carrying on delay-sensitive applications. Different from existing schemes, our protocol applies an opportunistic sleep scheme to adaptively balance the tradeoff between energy efficiency and the end-to-end delay. Each sensor node maintains its own wakeup probability which is adaptively adjusted according to the local network conditions to reduce the energy consumption without the increased transmission latency. In addition, an energy-aware antcast-based data forwarding scheme is introduced to further reduce sleep latency influence on the end-to-end delay and improve the communication reliability. We implement our protocol in the ns-2 simulator and compare with other protocols. Simulation results show that our protocol outperforms other protocols in terms of balancing the tradeoff between energy efficiency and the end-to-end delay.
Effects of stress and tolerance of ambiguity on magical thinking.

The present study investigated the relationship between psychological stress and magical thinking and the extent to which such a relationship may be moderated by individuals' tolerance of ambiguity. Questionnaires assessing different types of magical thinking and tolerance of ambiguity were administered to 174 Israeli citizens who, during the Gulf War, resided in areas that were either exposed (high-stress condition) or not exposed (low-stress condition) to missile attacks. Magical thinking emerged more frequently in Ss under high-stress conditions than in those under low-stress conditions. Furthermore, high stress levels exerted a more pronounced effect on the emergence of magical thinking in individuals with low tolerance of ambiguity than in those with high tolerance
Specifying Business Components in Virtual Engineering Communities

Component-based software development is a potential reuse paradigm for the future. In this paper, we elaborate the idea of developing business components in virtual engineering communities (component community). A component community is an inter-organizational form for developing business components. The actors of a component community, e. g. business analyst, component developer, component vendor, reuse manager, work collaboratively in development projects. We postulate that in a component community it is necessary to describe business components in a standardized way. Such a description has to address several aspects: What services are offered and requested by a business component? How can these services be used? Are there any interdependencies between the services of a set of business components? What quality characteristics do the offered services fulfill? What are the meanings of used concepts? And so on. In this paper, we present a holistic approach to specify a business component. This approach consists of seven specification levels addressing both technical and business aspects. Furthermore, we show the application of this method by specifying a simple business component that deals with German bank codes.
The Use of Dupont Analysis by Market Participants

DuPont analysis, a common form of financial statement analysis, decom- poses return on net operating assets into two multiplicative components: profit margin and asset turnover. These two accounting ratios measure different constructs and, accordingly, have different properties. Prior research has found that a change in asset turnover is positively related to future changes in earnings. This paper comprehensively explores the DuPont components and contributes to the literature along three dimen- sions. First, the paper contributes to the financial statement analysis literature and finds that the information in this accounting signal is in fact incremental to accounting signals studied in prior research in predicting future earnings. Second, it contributes to the literature on the stock market's use of accounting information by examining immediate and future equity return responses to these components by investors. Finally, it adds to the literature on analysts' processing of accounting information by again testing immediate and delayed response of analysts through contemporaneous forecast revi- sions as well as future forecast errors. Consistent across both groups of market par- ticipants, the results show that the information is useful as evidenced by associations between the DuPont components and stock returns as well as analyst forecast revi- sions. However, I find predictable future forecast errors and future abnormal returns indicating that the information processing does not appear to be complete. Taken to- gether, the analysis indicates that the DuPont components represent an incremental and viable form of information about the operating characteristics of a firm.
Loss of DExD/H Box RNA Helicase LGP2 Manifests Disparate Antiviral Responses

The DExD/H box RNA helicase retinoic acid-inducible gene I (RIG-I) and the melanoma differentiation-associated gene 5 (MDA5) are key intracellular receptors that recognize virus infection to produce type I IFN. A third helicase gene, Lgp2, is homologous to Rig-I and Mda5 but lacks a caspase activation and recruitment domain. We generated Lgp2-deficient mice and report that the loss of this gene greatly sensitizes cells to cytosolic polyinosinic/polycytidylic acid-mediated induction of type I IFN. However, negative feedback inhibition of IFN-β transcription was found to be normal in the absence of LGP2, indicating that LGP2 is not the primary negative regulator of type I IFN production. Our data further indicate that Lgp2−/− mice exhibited resistance to lethal vesicular stomatitis virus infection, a virus whose replicative RNA intermediates are recognized specifically by RIG-I rather than by MDA5 to trigger the production of type I IFN. However, mice lacking LGP2 were observed to exhibit a defect in type I IFN production in response to infection by the encephalomyocarditis virus, the replication of which activates MDA5-dependent innate immune responses. Collectively, our data indicate a disparate regulatory role for LGP2 in the triggering of innate immune signaling pathways following RNA virus infection.
Human Cytomegalovirus UL29/28 Protein Interacts with Components of the NuRD Complex Which Promote Accumulation of Immediate-Early RNA

Histone deacetylation plays a pivotal role in regulating human cytomegalovirus gene expression. In this report, we have identified candidate HDAC1-interacting proteins in the context of infection by using a method for rapid immunoisolation of an epitope-tagged protein coupled with mass spectrometry. Putative interactors included multiple human cytomegalovirus-coded proteins. In particular, the interaction of pUL38 and pUL29/28 with HDAC1 was confirmed by reciprocal immunoprecipitations. HDAC1 is present in numerous protein complexes, including the HDAC1-containing nucleosome remodeling and deacetylase protein complex, NuRD. pUL38 and pUL29/28 associated with the MTA2 component of NuRD, and shRNA-mediated knockdown of the RBBP4 and CHD4 constituents of NuRD inhibited HCMV immediate-early RNA and viral DNA accumulation; together this argues that multiple components of the NuRD complex are needed for efficient HCMV replication. Consistent with a positive acting role for the NuRD elements during viral replication, the growth of pUL29/28- or pUL38-deficient viruses could not be rescued by treating infected cells with the deacetylase inhibitor, trichostatin A. Transient expression of pUL29/28 enhanced activity of the HCMV major immediate-early promoter in a reporter assay, regardless of pUL38 expression. Importantly, induction of the major immediate-early reporter activity by pUL29/28 required functional NuRD components, consistent with the inhibition of immediate-early RNA accumulation within infected cells after knockdown of RBBP4 and CHD4. We propose that pUL29/28 modifies the NuRD complex to stimulate the accumulation of immediate-early RNAs.
An extended evolution strategy for the characterization of fracture conductivities from well tests

The characterization of fractured reservoirs involves: (1) the design of geological models integrating statistical and/or deterministic fracture properties; (2) the validation of flow simulation models by calibrating with dynamic field data e.g. well tests. The latter validation step is critical since it also validates the underlying geological model, it allows one to reduce some uncertainties among the fracture geometrical and distribution properties, and it is often the only mean to characterize fracture conductivities. However this is usually an ill-posed inverse problem: field data are usually not sufficient to fully characterize the fracture system. It is of interest to explore the parameters space effectively, so that multiple solutions may be characterized, and many production development scenarii may be studied. This paper presents a well tests inversion method to characterize fracture sets conductivities. The Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) has been used as the optimization algorithm. It has been tested with some local optimization algorithms for comparison, and extended in order to detect several solutions simultaneously using a local proxy of the response surface. Moreover, uncertainty analyses are performed in regions of interest. Applications are presented for a fracture system with two fracture sets.
Effects of light regime and substrain on behavioral profiles of male C57BL/6 mice in three tests of unconditioned anxiety

Abstract Substrains of the C57BL/6 inbred mouse are widely used in genetic, behavioral and physiological research, as well as models for human disease. Throughout, the choice of the respective substrain can have a large influence on experimental results. Likewise, the conditions under which experiments are performed, such as the light regime, can significantly affect the outcome of an experiment, especially when aiming at experimental behavior. Here, two commonly used mouse substrains, C57BL/6JOlaHsd and C57BL/6NCrl, were housed under either a conventional or a reverse light regime and were tested in either the light phase or the dark phase, respectively. All animals were exposed to three unconditioned anxiety-related behavior set-ups: the modified Hole Board test, the light-dark box and the elevated plus maze. Significant substrain and light regime effects were found in all three behavioral tests, with some of the latter being substrain and test specific. This signifies the importance of the choice of substrain used in for example, a mouse knockout experiment studying behavior, also in relation to light regime under which the animals are tested.
An unequal balance? – The effects of unequal pay systems on societal motivation in Ireland

The hypothesis that unequal pay systems create demotivating effects at a societal level was experimentally tested within a general population sample (N=187). Four pay systems, representing unequal pay for equal effort and results, were presented, and anticipated changes in motivation level on three items (productivity, pride and participation) versus baseline were measured. The four unequal systems were (1) Arbitrary (A versus B), (2) Senior versus Junior, (3) Private Sector Higher versus Public Sector Lower and (4) Public Sector Higher versus Private Sector Lower. All four unequal pay systems had significant demotivation effects versus the baseline motivation measures. The demotivation effects were also significantly ‘crowded out’ when presented within systems, which reinforced dominant legitimising myths (e.g., Seniority and Private Enterprise). Further research is needed to estimate the full economic and social capital costs of inequality and to investigate the psychological costs and benefits of ‘moti.